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Users say they are being forced to choose between range or speed, or face an unusable network.

Next-gen processor tech gives more performance with less energy use, IBM claims.

Almost all of 50 big UK firms tell the BBC staff will divide their time between home and office in future.

The social media platform will prompt users to review "potentially harmful or offensive" replies.

Research by Which? looked at a selection of older routers still being used by customers.

A father and an Oxford student seek a High Court hearing to require age verification on porn sites.

Facebook's top "court" says the company has six months to justify its permanent ban of Mr Trump.

Afghan commanders are asking for more help from American warplanes, illustrating their dependency on American air power.

Significant hurdles remain. But it was an optimistic signal by the Biden administration that an American return to the accord between Iran and world powers could be within reach.

Among the thousands who have died in prisons and jails from the coronavirus were dozens of people approved for parole or not convicted of a charge for which they were arrested.

Representative Elise Stefanik pitched herself as an unshakable Trump ally as momentum gathered to oust his fervent critic, Representative Liz Cheney, from the Republican leadership.

Florida, like Texas and virtually every other state with a Republican-controlled legislature, is moving to alter when and how people can vote.

A recall candidate hired a bear to draw attention to his campaign to oust Gov. Gavin Newsom, but the bear ended up drawing attention to the bear.

Things are looking brighter for Americans.

Joomla 3.9.26 is now available. This is a security release for the 3.x series of Joomla which addresses 2 security vulnerabilities and contains more than 30 bug fixes and improvements.

Joomla 3.9.25 is now available. This is a security release for the 3.x series of Joomla which addresses 9 security vulnerabilities and contains more than 40 bug fixes and improvements.

Once again the Joomla Project is pleased to announce the availability of the Joomla 4.0 Beta 7 release, and Joomla 3.10 Alpha 5.

Joomla 3.9.24 is now available. This is a security release for the 3.x series of Joomla which addresses 3 security vulnerabilities and contains more than 35 bug fixes and improvements.

Once again the Joomla Project is pleased to announce the availability of the Joomla 4.0 Beta 6 release, and Joomla 3.10 Alpha 4.

Open Source Matters Inc, the organisation behind Joomla!, and ScalaHosting are pleased to announce their strategic partnership.

Joomla 3.9.23 is now available. This is a security release for the 3.x series of Joomla which addresses 7 security vulnerabilities and contains more than 35 bug fixes and improvements.

Apple’s new AirTag item trackers are pretty small, but not quite small enough to slip into most wallets without adding an obvious bit of bulk. Fortunately, as one talented AirTag owner has found, that’s nothing you can’t fix with a heat gun, a bit of soldering, and an understanding that you could totally fry your […]

Twitter today confirmed earlier reports that it’s testing a new Tip Jar feature. The new addition utilizes a number of different payment platforms, including PayPal, Venmo, Patreon, Cash App and Bandcamp (all region-dependent). “Tip Jar is an easy way to support the incredible voices that make up the conversation on Twitter,” the company wrote in […]

David Swensen, among the most highly regarded money managers in the world after growing Yale’s endowment from $1 billion when he joined as a 31-year-old former grad student of the school, to the second-largest school endowment in the country after Harvard, has passed away at age 67. The cause was cancer, which Swensen had been […]

Of the 22 million comments submitted to the FCC regarding 2017’s controversial rollback of net neutrality, some 18 million were fake, an investigation by the New York Attorney General’s office has found. The broadband industry funded the fraudulent creation of about 8.5 million of those, while a 19-year-old college student submitted 7.7 million, and the […]

Orbital launch company Virgin Orbit has scheduled its next mission to space. Virgin Orbit will be returning its LauncherOne rocket to orbit in June to deliver payloads for the U.S. Department of Defense Space Test Program, SatRevolution and the Royal Netherlands Air Force. The manifest includes three CubeSat satellites as part of the DoD’s Rapid […]

Chinese electric vehicle maker Nio has chosen Norway — an EV hotspot — for its first foray into international markets. Nio Norway will offer a European version of ES8, Nio’s flagship electric SUV, to Norwegian customers from September this year. The ET7 sedan will follow in 2022. “The decision to have Norway as our first […]

Months after Apple’s App Store introduced privacy labels for apps, Google announced its own mobile app marketplace, Google Play, will follow suit. The company today pre-announced its plans to introduce a new “safety” section in Google Play, rolling out next year, which will require app developers to share what sort of data their apps collect, […]

Introduction The Portable Document Format (PDF) is not a WYSIWYG (What You See is What You Get) format. It was developed to be platform-agnostic, independent of the underlying operating system and rendering engines. To achieve this, PDF was constructed to be interacted with via something more like a programming language, and relies on a series of instructions and operations to achieve a result. In fact, PDF is based on a scripting language - PostScript, which was the first device-independent Page Description Language. In this guide, we'll be using pText - a Python library dedicated to reading, manipulating and generating PDF documents. It offers both a low-level model (allowing you access to the exact coordinates and layout if you choose to use those) and a high-level model (where you can delegate the precise calculations of margins, positions, etc to a layout manager). We'll take a look at how to create a PDF invoice in Python using pText. Installing pText pText can be downloaded from source on GitHub, or installed via pip: $ pip install ptext-joris-schellekens Creating a PDF Invoice in Python with pText pText has two intuitive key classes - Document and Page, which represent a document and the pages within it. Additionally, the PDF class represents an API for loading and saving the Documents we create. Let's create a Document() and Page() as a blank canvas that we can add the invoice to: from ptext.pdf.document import Document from ptext.pdf.page.page import Page # Create document pdf = Document() # Add page page = Page() pdf.append_page(page) Since we don't want to deal with calculating coordinates - we can delegate this to a PageLayout which manages all of the content and its positions: # New imports from ptext.pdf.canvas.layout.page_layout import SingleColumnLayout from ptext.io.read.types import Decimal page_layout = SingleColumnLayout(page) page_layout.vertical_margin = page.get_page_info().get_height() * Decimal(0.02) Here, we're using a SingleColumnLayout since all of the content should be in a single column - we won't have a left and right side of the invoice. We're also making the vertical margin smaller here. The default value is to trim the top 10% of the page height as the margin, and we're reducing it down to 2%, since we'll want to use this space for the company logo/name. Speaking of which, let's add the company logo to the layout: # New import from ptext.pdf.canvas.layout.image import Image page_layout.add( Image( "https://s3.amazonaws.com/s3.stackabuse.com/media/articles/creating-an-invoice-in-python-with-ptext-1.png", width=Decimal(128), height=Decimal(128), )) Here, we're adding an element to the layout - an Image(). Through its constructor, we're adding a URL pointing to the image resource and setting its width and height. Beneath the image, we'll want to add our imaginary company info (name, address, website, phone) as well as the invoice information (invoice number, date, due date). A common format for brevity (which incidentally also makes the code cleaner) is to use a table to store invoice data. Let's create a separate helper method to build the invoice information in a table, which we can then use to simply add a table to the invoice in our main method: # New imports from ptext.pdf.canvas.layout.table import Table from ptext.pdf.canvas.layout.paragraph import Paragraph, Alignment from datetime import datetime import random def _build_invoice_information(): table_001 = Table(number_of_rows=5, number_of_columns=3) table_001.add(Paragraph("[Street Address]")) table_001.add(Paragraph("Date", font="Helvetica-Bold", horizontal_alignment=Alignment.RIGHT)) now = datetime.now() table_001.add(Paragraph("%d/%d/%d" % (now.day, now.month, now.year))) table_001.add(Paragraph("[City, State, ZIP Code]")) table_001.add(Paragraph("Invoice #", font="Helvetica-Bold", horizontal_alignment=Alignment.RIGHT)) table_001.add(Paragraph("%d" % random.randint(1000, 10000))) table_001.add(Paragraph("[Phone]")) table_001.add(Paragraph("Due Date", font="Helvetica-Bold", horizontal_alignment=Alignment.RIGHT)) table_001.add(Paragraph("%d/%d/%d" % (now.day, now.month, now.year))) table_001.add(Paragraph("[Email Address]")) table_001.add(Paragraph(" ")) table_001.add(Paragraph(" ")) table_001.add(Paragraph("[Company Website]")) table_001.add(Paragraph(" ")) table_001.add(Paragraph(" ")) table_001.set_padding_on_all_cells(Decimal(2), Decimal(2), Decimal(2), Decimal(2)) table_001.no_borders() return table_001 Here, we're making a simple Table with 5 rows and 3 columns. The rows correspond to the street address, city/state, phone, email address and company website. Each row will have 0..3 values (columns). Each text element is added as a Paragraph, which we've aligned to the right via Alignment.RIGHT, and accept styling arguments such as font. Finally, we've added padding to all the cells to make sure we don't place the text awkwardly near the confounds of the cells. Now, back in our main method, we can call _build_invoice_information() to populate a table and add it to our layout: page_layout = SingleColumnLayout(page) page_layout.vertical_margin = page.get_page_info().get_height() * Decimal(0.02) page_layout.add( Image( "https://s3.amazonaws.com/s3.stackabuse.com/media/articles/creating-an-invoice-in-python-with-ptext-1.png", width=Decimal(128), height=Decimal(128), )) # Invoice information table page_layout.add(_build_invoice_information()) # Empty paragraph for spacing page_layout.add(Paragraph(" ")) Now, let's build this PDF document real quick to see what it looks like. For this, we'll use the PDF module: # New import from ptext.pdf.pdf import PDF with open("output.pdf", "wb") as pdf_file_handle: PDF.dumps(pdf_file_handle, document) Great! Now we'll want to add the billing and shipping information as well. It'll conveniently be placed in a table, just like the company information. For brevity's sake, we'll also opt to make a separate helper function to build this info, and then we can simply add it in our main method: # New imports from ptext.pdf.canvas.color.color import HexColor, X11Color def _build_billing_and_shipping_information(): table_001 = Table(number_of_rows=6, number_of_columns=2) table_001.add( Paragraph( "BILL TO", background_color=HexColor("263238"), font_color=X11Color("White"), ) ) table_001.add( Paragraph( "SHIP TO", background_color=HexColor("263238"), font_color=X11Color("White"), ) ) table_001.add(Paragraph("[Recipient Name]")) # BILLING table_001.add(Paragraph("[Recipient Name]")) # SHIPPING table_001.add(Paragraph("[Company Name]")) # BILLING table_001.add(Paragraph("[Company Name]")) # SHIPPING table_001.add(Paragraph("[Street Address]")) # BILLING table_001.add(Paragraph("[Street Address]")) # SHIPPING table_001.add(Paragraph("[City, State, ZIP Code]")) # BILLING table_001.add(Paragraph("[City, State, ZIP Code]")) # SHIPPING table_001.add(Paragraph("[Phone]")) # BILLING table_001.add(Paragraph("[Phone]")) # SHIPPING table_001.set_padding_on_all_cells(Decimal(2), Decimal(2), Decimal(2), Decimal(2)) table_001.no_borders() return table_001 We've set the background_color of the initial paragraphs to #263238 (grey-blue) to match the color of the logo, and the font_color to White. Let's call this in the main method as well: # Invoice information table page_layout.add(_build_invoice_information()) # Empty paragraph for spacing page_layout.add(Paragraph(" ")) # Billing and shipping information table page_layout.add(_build_billing_and_shipping_information()) Once we run the script again, this results in a new PDF file that contains more information: With our basic information sorted out (company info and billing/shipping info) - we'll want to add an itemized description. These will be the goods/services that our supposed company offered to someone and are also typically done in a table-like fashion beneath the information we've already added. Again, let's create a helper function that generates a table and populates it with data, which we can simply add to our layout later on: # New import from ptext.pdf.canvas.layout.table import Table, TableCell def _build_itemized_description_table(self): table_001 = Table(number_of_rows=15, number_of_columns=4) for h in ["DESCRIPTION", "QTY", "UNIT PRICE", "AMOUNT"]: table_001.add( TableCell( Paragraph(h, font_color=X11Color("White")), background_color=HexColor("016934"), ) ) odd_color = HexColor("BBBBBB") even_color = HexColor("FFFFFF") for row_number, item in enumerate([("Product 1", 2, 50), ("Product 2", 4, 60), ("Labor", 14, 60)]): c = even_color if row_number % 2 == 0 else odd_color table_001.add(TableCell(Paragraph(item[0]), background_color=c)) table_001.add(TableCell(Paragraph(str(item[1])), background_color=c)) table_001.add(TableCell(Paragraph("$ " + str(item[2])), background_color=c)) table_001.add(TableCell(Paragraph("$ " + str(item[1] * item[2])), background_color=c)) # Optionally add some empty rows to have a fixed number of rows for styling purposes for row_number in range(3, 10): c = even_color if row_number % 2 == 0 else odd_color for _ in range(0, 4): table_001.add(TableCell(Paragraph(" "), background_color=c)) table_001.add(TableCell(Paragraph("Subtotal", font="Helvetica-Bold", horizontal_alignment=Alignment.RIGHT,), col_span=3,)) table_001.add(TableCell(Paragraph("$ 1,180.00", horizontal_alignment=Alignment.RIGHT))) table_001.add(TableCell(Paragraph("Discounts", font="Helvetica-Bold", horizontal_alignment=Alignment.RIGHT,),col_span=3,)) table_001.add(TableCell(Paragraph("$ 177.00", horizontal_alignment=Alignment.RIGHT))) table_001.add(TableCell(Paragraph("Taxes", font="Helvetica-Bold", horizontal_alignment=Alignment.RIGHT), col_span=3,)) table_001.add(TableCell(Paragraph("$ 100.30", horizontal_alignment=Alignment.RIGHT))) table_001.add(TableCell(Paragraph("Total", font="Helvetica-Bold", horizontal_alignment=Alignment.RIGHT ), col_span=3,)) table_001.add(TableCell(Paragraph("$ 1163.30", horizontal_alignment=Alignment.RIGHT))) table_001.set_padding_on_all_cells(Decimal(2), Decimal(2), Decimal(2), Decimal(2)) table_001.no_borders() return table_001 In practice, you'd substitute the hard-coded strings related to the subtotal, taxes and total prices with calculations of the actual prices - though, this heavily depends on the underlying implementation of your Product models, so we've added a stand-in for abstraction. Once we add this table to the document as well - we can rebuild it and take a look. The entire main method should now look something along the lines of: # Create document pdf = Document() # Add page page = Page() pdf.append_page(page) page_layout = SingleColumnLayout(page) page_layout.vertical_margin = page.get_page_info().get_height() * Decimal(0.02) page_layout.add( Image( "https://s3.amazonaws.com/s3.stackabuse.com/media/articles/creating-an-invoice-in-python-with-ptext-1.png", width=Decimal(128), height=Decimal(128), )) # Invoice information table page_layout.add(_build_invoice_information()) # Empty paragraph for spacing page_layout.add(Paragraph(" ")) # Billing and shipping information table page_layout.add(_build_billing_and_shipping_information()) # Itemized description page_layout.add(_build_itemized_description_table()) with open("output2.pdf", "wb") as pdf_file_handle: PDF.dumps(pdf_file_handle, pdf) Running this piece of code results in: Creating an Outline Our PDF is done and ready to be served - though, we can take it up a notch with two little additions. First, we can add an Outline, which helps readers like Adobe navigate and generate a menu for your PDFs: # New import from ptext.pdf.page.page import DestinationType # Outline pdf.add_outline("Your Invoice", 0, DestinationType.FIT, page_nr=0) The add_outline() function accepts a few arguments: title : the title that will be displayed in the side menu level : how deep down the tree something will be. Level 0 is root-level. Several arguments that make up a "destination" Destinations can be thought of as targets for hyperlinks. You can link to an entire page (which is what we are doing in this example), but you can also link to specific parts of a page (for instance - exactly at y-coordinate 350). Furthermore, you need to specify how the reader should present that page - for instance, do you want to simply scroll to that page and not zoom? Do you want to display only a target area, with the reader completely zoomed into that particular area? In this line of code, we are asking the reader to display page 0 (the first page) and ensure it fits the reader window (zooming in/out if needed). Once you've added the outline, you should see it appear in the reader of your choice: With multiple pages - you can create a more complex outline and link to them via add_outline() for easier navigation. Embedding JSON Documents in PDF Invoices Since PDFs aren't very computer-friendly (in terms of reading and unambiguously decoding) - sometimes, we might want to add more computer-friendly formats as well if someone would like to process invoices automatically. A Germany-originating invoice standard called ZUGFeRD (later adopted by the EU) enables us to make PDF invoices with more computer-legible file formats such as XML - which describes the invoice and is easily parsable. In addition to these, you can also embed other documents related to your invoice such as terms and agreements, a refund policy, etc. To embed any sort of additional file in a PDF file, using pText - we can use the append_embedded_file() function. Let's first go ahead and create a dictionary to store our invoice data in JSON, which we'll then save into an invoice_json file: import json # Creating a JSON file invoice_json = { "items": [ { "Description": "Product1", "Quantity": 2, "Unit Price": 50, "Amount": 100, }, { "Description": "Product2", "Quantity": 4, "Unit Price": 60, "Amount": 100, }, { "Description": "Labor", "Quantity": 14, "Unit Price": 60, "Amount": 100, }, ], "Subtotal": 1180, "Discounts": 177, "Taxes": 100.30, "Total": 1163.30, } invoice_json_bytes = bytes(json.dumps(invoice_json, indent=4), encoding="latin1") Now, we can simply embed this file into our PDF invoice: pdf.append_embedded_file("invoice.json", invoice_json_bytes, apply_compression=False) Once we run the script again and store the document, we've go: Conclusion In this guide, we've taken a look at how to create an invoice in Python using pText. We've then added an outline to the PDF file for ease of navigation and taken a look at how to add attachments/embedded files for programmatic access to the contents of the PDF.

It is 2021! PyCon is almost here, and we are bringing the PyLadies auction to you this year! Yes, that is right. It will be in your living room or office or deck, wherever you decide to join us. Four words. Live. Virtual. Interactive. Auction. Yes, that is right. And not one, but two virtual events! We will kick off the event on Saturday, May 8, which is the weekend prior to the conference. During this event we will celebrate Pyladies over the past year (or two, because y’all know we lost a year). Then the auction will wrap up on the Saturday evening of PyCon, where items will begin to close one by one. Painting created and donated by Naomi Cedar Bidders will have one week to bid on some pretty awesome items. As you know the auction does not disappoint. With the auction items that have started to come in, we do not expect this year to be any different. Everything from amazing custom handmade fractal quilt to custom Python and Pyladies art. And just like previous auctions, there will be pieces that are found nowhere else. Our last auction in 2019, raised a record breaking $44,000. In the history of the PyLadies auction, we have raised more and more every year. Let’s not make this year any different. Order some food, grab some drinks, make a paddle, and join us virtually! Above: Screenshot of items above were donated by the PyLadies Auction Sponsors, Rebellion Defense and Microsoft Azure.   Dates & Times: Saturday, May 8 & May 15 @ 7-8pm EST, attendees registered for the auction will be sent an e-mail with their bidder login before the start of the auction. Location: Wherever you (+ internet) are located, you can preview more of the items to bid here.   Cost: Admission to the auction is $5 USD. Tickets are available as part of your PyCon registration. (You will not be able to access or bid on the auction items without registering for PyCon. Some of the items might just be worth a PyCon registration to bid on them.)   Structure: Async bidding and live bidding, though neither are required to attend. Note: There will be no raffle this year.  Donations This is your absolute last chance to donate. If you're interested in donating an item, you can email pycon-auction@python.org or fill out this form. ❤️ Support for the PyLadies auction comes from the PSF and our sponsors who help cover the cost of the production of the virtual auction this year.   Authored by Jackie Kazil, posted with affection by Lorena Mesa.

String Manipulation is the most essential skill when you are analyzing text data. Python has many built in methods for string manipulation.  In this article, we will study the most frequently used python string methods for string manipulation. Python String Method to Capitalize a word To capitalize the first letter of a string in python we use capitalize() method. capitalize() method returns a new string in which the first letter of the string is capitalized. In this process, No change is made to the original string. Example: myString="python" print("Original String:") print(myString) newString=myString.capitalize() print("New modified string:") print(newString) print("original string after modification:") print(myString) Output: Original String: python New modified string: Python original string after modification: python In the output, we can see that first letter of the new string has been modified but no changes have been made to string on which the method was invoked. Python String Method to capitalize first character of each word To convert first character of each word into capital letter, we can use title() method. When invoked on a string, it capitalizes first character of each word of input string and returns a new string with the result. It doesn’t affects the original string. Example: myString="Python is a great language" newString=myString.title() print("Original string is:") print(myString) print("Output is:") print(newString) Output: Original string is: Python is a great language Output is: Python Is A Great Language How to convert string into lowercase in Python? casefold() method returns a new string when invoked on a python string and turns every letter of original string into lowercase. It doesn’t change the original string. This python string method can be used for preprocessing the text if it contains irregular use of capital or small letters. Example: myString="PytHon" print("Original String:") print(myString) newString=myString.casefold() print("New modified string:") print(newString) print("original string after modification:") print(myString) Output: Original String: PytHon New modified string: python original string after modification: PytHon Another method to convert strings into lowercase is the lower() method. It also coverts letters in the text string into lowercase and returns a new string. Example: myString="PytHon" print("Original String:") print(myString) newString=myString.lower() print("New modified string:") print(newString) print("original string after modification:") print(myString) Output: Original String: PytHon New modified string: python original string after modification: PytHon How to convert Strings into uppercase in Python? We can use upper() method to convert an input string into uppercase. When the upper() method is invoked on any string, it returns a new string with all the letter capitalized. It doesn’t change the original string. Example: myString="PytHon" print("Original String:") print(myString) newString=myString.upper() print("New modified string:") print(newString) print("original string after modification:") print(myString) Output: Original String: PytHon New modified string: PYTHON original string after modification: PytHon There is another method named swapcase() which swaps the case of every letter in the input string and returns a new string. It doesn’t make any change to the input string on which it is invoked. Example: myString="PytHon" print("Original String:") print(myString) newString=myString.swapcase() print("New modified string:") print(newString) print("original string after modification:") print(myString) Output: Original String: PytHon New modified string: pYThON original string after modification: PytHon How to Split Strings in python? To split strings in python, we use split() method. Python split method takes an optional separator and splits the input string at the points where a separator is present and returns a list containing the splitted parts of the string. Example: myString="I am A Python String" print("Original String:") print(myString) newList=myString.split() print("New List:") print(newList) print("when 'A' is declared as separator:") aList=myString.split("A") print(aList) print("original string after modification:") print(myString) Output: Original String: I am A Python String New List: ['I', 'am', 'A', 'Python', 'String'] when 'A' is declared as separator: ['I am ', ' Python String'] original string after modification: I am A Python String If we want to split a string for certain number of times, we can use rsplit() method instead of split() method. rsplit() method takes an extra argument named maxsplit which is the number of times the string has to be split. The input string is split at maxsplit places from right side of the string and a list with maxsplit+1 fragments of the input string is returned by the rsplit() method. If no value is passed to maxsplit argument, the rsplit() method works the same as split() method. Example: myString="I am A Python String" print("Original String:") print(myString) newList=myString.rsplit() print("New List without maxsplit:") print(newList) print("when maxsplit is set at 2:") aList=myString.rsplit(maxsplit=2) print(aList) print("original string after modification:") print(myString) Output: Original String: I am A Python String New List without maxsplit: ['I', 'am', 'A', 'Python', 'String'] when maxsplit is set at 2: ['I am A', 'Python', 'String'] original string after modification: I am A Python String How to Concatenate Strings in Python? Now that we have seen how to split the strings, it may be a case that we need to perform string concatenation in python. We can concatenate two strings using "+" operator as well as using join() method. While using "+" operator, we just add the different strings using "+" operator and assign it to a new string. Here we can concatenate any number of strings in single statements by using "+" operator between them. Example: myString1="I am a " print ("first string is:") print(myString1) myString2="Python String" print("Second String is:") print(myString2) myString=myString1+myString2 print("Conactenated string is:") print(myString) Output: myString1="I am a " print ("first string is:") print(myString1) myString2="Python String" print("Second String is:") print(myString2) myString=myString1+myString2 print("Conactenated string is:") print(myString) We can also concatenate strings using join method in python. Join method is invoked on a string which is separator and a list or any other iterable of strings is passed to it for joining. It returns a new string containing words in the iterable, separated by the separator string. Example: myStringList=["I","am","a","python","string"] print ("list of string is:") print(myStringList) separator=" "#space is used as separator myString=separator.join(myStringList) print("Concatenated string is:") print(myString) Output: list of string is: ['I', 'am', 'a', 'python', 'string'] Concatenated string is: I am a python string How to trim Strings in Python? There may be chances that strings are containing extra spaces in the start or end. We can remove those spaces using python string methods namely strip(), lstrip() and rstrip(). lstrip() method removes spaces from start of the input string and returns a new string. rstrip() removes spaces from the end of the string and returns a new string. strip() method removes spaces from both the start and end of the input string and returns a new string. Example: myString=" Python " lstring=myString.lstrip() rstring=myString.rstrip() string =myString.strip() print("Left Stripped string is:",end="") print(lstring) print("Right Stripped string is:",end="") print(rstring) print("Totally Stripped string is:",end="") print(string) Output: Left Stripped string is:Python Right Stripped string is: Python Totally Stripped string is:Python Python String Methods to split a string at newlines. By using splitlines() method in python, we can convert a string into a list of sentences. The function splits the input string at linebreaks or newlines and returns a new list containing all the fragments of the input string. Example: myString="Python is a great language.\n I love python" slist=myString.splitlines() print("Original string is:") print(myString) print("Output is:") print(slist) Output: Original string is: Python is a great language. I love python Output is: ['Python is a great language.', ' I love python'] Conclusion In this article, we have seen python string methods to manipulate the string data in python. We have seen how to split, strip, and concatenate the strings using different methods. We have also seen how to change case of letters in the strings. Stay tuned for more informative articles. The post Python String Methods for String Manipulation appeared first on PythonForBeginners.com.

Last week Nafiul Islam invited an expert guest, Mason Egger from DigitalOcean, to do an in-depth coding session on Slackbot creation. Mason walked Nafiul through all the small details that are sometimes not so obvious to those who are dealing with Slackbots for the first time. Along the way, Mason covered a lot of related topics, such as how Slackbots work, creating virtual environments and why you might want to exclude them from your project, what Droplets are and what you can use instead of them, and even how Discord bot creation is different from Slackbot creation. WATCH THE WEBINAR Watch the webinar to enjoy the engaging discussion between Mason and Nafiul and to learn how to create a Slackbot of your own! Written versions of material covered in this live coding session are also available: How To Build a Slackbot in Python on Ubuntu 20.04 How To Deploy a Flask App Using Gunicorn to App Platform Other materials you might be interested in: PyCharm and AWS Toolkit Tutorial Developing Flask Apps on Google Cloud Building a Python API with FastAPI

Learn to extract valuable information from unstructured text data using Knowledge Graphs.

If not Python is a logical operator which is present in pre-built statements. Operators help in performing different functions or actions that are important to get a result. Python allows us to perform different actions. What is an If Not Python Operation? Python If Not Operator is a combination of ‘if’ and ‘not’ statements. ‘if’ keyword allows you to check if the condition of the next statements is True or False and then act accordingly. Whereas the ‘not’ keyword negates the value of boolean of statements in front of it. Moreover, the ‘if not’ statement allows you to avoid the ‘else’ keyword many times. In this topic, we will be discussing the if-not operator. It can operate on boolean, string, list, dictionary, and sets. We can obtain negative values using the operator. This means that when we use “if not” and the output is true, then the result is shown as false. The same happens for vice-versa. In other words, if the value is false the not value will be true and if the value is true then the not value will be false. This entire situation happens for the Boolean type. Let us take a string expression. Here the operator will only function when string values are empty. This is similar to the list as well. If the list is empty, only then the operator can perform. Some of operators are: Arithmetic operators – They help in arithmetic calculations like addition, subtraction, multiplication, and division.Assignment operators – We can use this to assign a value to a variable.Comparison operators – They can compare two or more variables and obtain a relative result.Logical operators – They can perform logical operations based on logic.Identity operators – They are used to compare two objects if they belong to the same memory area.Membership operators – They can test if a sequence is present in the program.Bitwise operators – It checks for the relation in binary values. How do you Write if not Condition in Python? The following syntax refers to how the interpreter expects to parse if not condition in your program: if<space>not<space>condition: <indentation>statement # Example: if not x==5: print("x is not 5") Source: Python Official Documentation Syntax if not value: statement(s) Parameter Not applicable. Examples of If Not Statement in Python 1. If Not Python on Boolean Boolean values are usually 0 and 1.Zero can be written as false and 1 means true in a programming code. SYNTAX CHECK = False if not CHECK: print('false.') CHECK = 5 if not CHECK==5: print('CHECK is not 5') else: print('CHECK is 5') OUTPUT false CHECK is 5 2. If Not Python on String String refers to the set of zeros or sequence of text. We store strings in double-quotes. SYNTAX string = "" if not string: print('String is empty.') else: print(string) OUTPUT String is empty 3. If Not on a List The list can store multiple data in a single variable. We place the list of characters in square brackets. The list is usually very versatile in Python as it has multiplet set of data of varied types. SYNTAX check= [] if not check: print('List is empty.') else: print(check) OUTPUT List is empty 4. If Not Python on Dictionary It is a collection of unordered and changed data. The dictionary uses index value to recognize the data. It uses the logical operator to check if the dictionary is empty. Dictionary values contain keys and values. We write them in braces. SYNTAX val = dict({}) if not val: print('Dictionary is empty.') else: print(val) OUTPUT Dictionary is empty. 5. If Not on Set Set is different from the dictionary. It is a collection of unordered data. They do not contain any index value. We can write to them in curly braces. We cannot use the index using a key or index value. The values in the set are usually used along with the loop. The set allows us to add and update values. SYNTAX val = set({}) if not val: print('Set is empty.') else: print(a) OUTPUT Set is empty. 6. If Not Python on Tuple The tuples are same as that of lists. They are a finite list of values. The sequence is in order and immutable. SYNTAX Val = tuple() if not val: print('Tuple is empty.') else: print(val) OUTPUT Tuple is empty. FAQs Is != Valid in Python? Yes. != is an expression for ‘not equals’ in layman terms. Moreover, you can use the ‘not’ keyword to keep your code clean and remove any existing ‘!=’. Is not and != in Python same? Technically No. != checks if the two objects have the same value, whereas is not keyword compares the memory of two objects. Is not equal to Python? Is not is a famous keyword that is used instead of != in Python. It compares the memory locations of two objects and returns True if those are the same. Beware: Is not checks the memory while != checks the value. Choose Wisely! See Also Not in Python | With Uses and In-Depth ExplanationPython Any | [Explained] any() Function in PythonIs it Possible to Negate a Boolean in Python? [Answered]Best Ways to Use Python String __contains__() MethodNumpy any | Comprehensive Showcase of Boolean Analyser Conclusion The if-not clearly shows the versatile nature of Python as a language. Without this logical operator, it would become difficult to check if the list, string, or tuple is empty. The post Simplifying If Not Logical Operator in Python appeared first on Python Pool.

Python is known for its versatile syntax and English-like keywords. With thousands of modules, you can do data visualization, data processing and even deploy machine learning models. There are many known machine learning models published which help you, namely, Keras, Sklearn, Tensorflow, and PyTorch. Although, while using Tensorflow, you can encounter a No Module named Tensorflow error while running your first program. No Module Named Tensorflow Error is a known error that arises when the Python Environment is unable to fetch TensorFlow files in site-packages. There are two main reasons for this error to appear, either you have not installed the TensorFlow external module or you are working on a different python environment that doesn’t have Tensorflow. There are several easy ways to fix this error which are mentioned later in this post. Let’s understand the root cause of the error before jumping on the solution. What is No Module Named Tensorflow Error? When a module is absent from the external site-library of the environment, the Python interpreter throws ModuleNotFoundError No Module Named Tensorflow. This error arises most of the time on low-end devices because TensorFlow requires proper setup of the c++ path and other requirements. Most of the time, this error is solved by using the pip install method. But if you have multiple Python versions installed, then you’ll definitely face this error. Why do I get No Module Named Tensorflow Error? There is no other reason for the No Module Named Tensorflow error other than missing module files. The main problem arises when you’re using multiple python versions and their virtual environment. Keep in mind that, Anaconda, PyCharm, Jupyter, and Spyder have their own virtual environment and it’s tricky to install modules in that environment. Causes of No Module Named Tensorflow Error There are some known causes of this ModuleNotFoundError. As Python lets you handle these errors easily, you can debug them quickly. Following are the cause of the No Module Tensorflow error – Module Not Installed If you haven’t installed TensorFlow yet and tried importing TensorFlow in code, then it’ll throw this error. Modules are managed by ‘pip’ which is a package management system for your python. Most of the time, the users forget to tick Add Python to the PATH option while installing it. This creates problems in managing the modules. Supporting Module Not Installed Tensorflow has many other supporting modules like numpy, scipy, jupyter, matplotlib, pillow, and scikit-learn. If any of these modules is absent, then it’ll throw an error. Make sure that these modules exist in your library. Moreover, there are other supporting TensorFlow modules like, tensorflow-addons, tensorflow.contrib which might be absent from your library leading to this error. Tip: To check which libraries are installed in your environment, enter pip list on your console. Working on Different Virtual Environment Virtual Environment: Method by which you isolate your working Python environment from the globally installed Python. This environment has its own installation directories and doesn’t share the libraries from globally installed Python. Many of the code editors in Windows come with their own virtual environment. Each of these environments acts independently to global python installation and is started with blank external modules. Many times, you install a module but it’s installed on global python, not the python from your virtual environment. This can lead to ModuleNotFoundError No Module named Tensorflow in the code execution. Code editors namely, Anaconda, Jupyter, and Spyder have their own virtual environment. If you have a similar case, head over to the corresponding solution for each code editor. Solutions for No Module Named Tensorflow Following are the solutions for this error in each code editor and OS – Windows In Windows, the path-related issues harras the programmers all the time. As you have limited functionality over the terminal, you’re constantly facing with ModuleNotFoundError error. To install TensorFlow in your Windows, make sure you follow these steps – Uninstall existing python versions to avoid any conflicts.Go to Python.org and download the Python setup. Make sure you download the 64-bit version. Unfortunately, Tensorflow is not supported in 32 bit systems.Double click on the installer and select the “Add Python x.x to your PATH” option. This will ensure, that python executes from the path.After installing, open the command terminal or PowerShell and enter the command pip install tensorflow in it.Wait for it to finish the installation and run your python file by command python file.py Linux In Linux, it’s relatively easier to install TensorFlow. First of all, check if you are working on a virtual environment by a command which python. This command will return the path of python which you’re going to execute. If you are in a virtual environment, either leave the environment directory or enter the command deactivate to deactivate the virtual environment. Follow these steps to install Tensorflow in Linux – sudo apt-get remove python python3 sudo apt-get install python3 sudo pip3 install tensorflow Mac In Mac, No Module named Tensorflow is a persistent error because of environment errors. If you are working on your virtual environment, you need to deactivate and activate it again. Then use the pip list command to check if the TensorFlow module exists in your library. If not, then use the pip3 install tensorflow to install TensorFlow. Anaconda If you’re using Anaconda and you face no module named Tensorflow error, then you probably haven’t installed TensorFlow in the conda environment. As anaconda has a different environment than your default python environment, you need to install TensorFlow in it. To do it follow these steps – Open Anaconda Prompt on your computer.Enter the command conda install tensorflow in it.Wait for the installation to complete and restart the conda shell and run your program. Jupyter If you’ve installed Juptyter Notebook from Anaconda, it’ll use a conda environment. By default, the libraries in this environment need to be installed via command. To do the same, open your Conda Prompt and enter the command conda install tensorflow. This will ensure that your Juptyer Notebook has TensorFlow in it. If your Jupyter is not installed via Anaconda, then use the pip install tensorflow to install the TensorFlow module. This will resolve the error ModuleNotFoundError No module named Tensorflow instantly. Spyder Spyder is installed via Anaconda which operates an Anaconda environment. Simply use the command conda install tensorflow in your Anaconda Prompt to install TensorFlow. PyCharm PyCharm is a special application that operates in its own virtual environment. Due to the unavailability of the TensorFlow error, you can face the no module found error. Follow these steps to install TensorFlow – Press Settings and select the Project Interpreter tab under projects.Now enter Tensorflow in the box and install it. After installing the package, your error will be resolved. Supporting ModuleNotFoundError for Tensorflow Tensorflow has many addons which come in handy to avoid writing long code. These addons and contributions are added separately in other packages and combine with the original TensorFlow module. Following are the examples of ModuleNotFoundError – No module named ‘tensorflow.contrib’ Unfortunately, the contrib module in TensorFlow is not included in version 2.0. If you still want to use the contrib module, you’ll have to install the previous version of TensorFlow. Follow these steps – pip uninstall tensorflow pip install tensorflow==1.13.2 No module named ‘tensorflow_addons’ Use pip install tensorflow-addons to install the addons for TensorFlow. No Module Named Tensorflow Still Not Resolved? If you’ve tried all the methods and were still not able to solve the issue then, there might be some hardware limitations. Tensorflow requires Python 3.5-3.7, 64-bit system, and pip>=19.0. If you’re unable to fulfill these hardware + software requirements, then don’t worry, we still have a solution for you! Google released a free product named ‘Colab‘ in 2018. Colab allows you to run and test machine learning models online. To explain more, it’s a replica of the jupyter notebook with all modules installed. To use Tensorflow in Google Colab follow these steps – Sign in to your Google account.Open Colab in your browser.Create a new Jupyter Notebook. (This notebook will be saved in your google drive).Type your code and run it. Colab has many libraries like TensorFlow, numpy, pandas, etc pre-installed in its shell. Make sure you make good use of it. Tip: Do not use Colab to store/process peer-to-peer files. This may result in a ban! See Also How to Clear Python Shell in the Most Effective WayHow to Check Python Version in Various OSPython is Not Recognized as an Internal or External CommandUnboxing the Python Tempfile Module5 Solid Ways to Remove Unicode Characters in Python Conclusion Tensor flow has a flexible architecture. The easy deployment of the code makes it special in nature. However, we have to be very careful before using it. Any small syntax error can result in incorrect importing of the library. The post [Solved] No Module Named Tensorflow Error appeared first on Python Pool.

Latest innovation from orthopedic tool manufacturer improves efficiency and speed of skeletal traction  PRNewswire

Google Takes New Major Step Towards A More Secure And Passwordless Future  Hot Hardware

TSMC to Produce 5nm Chips for Cryptocurrency Mining  Tom's Hardware

Study Shows SSDs Are More Reliable than HDDs  Tom's Hardware

New PS5 hardware redesign entering production in 2022 – report  VG247

Global Surveillance Market by Type (Camera, Other Hardware, Software &Services), By Application (Residential Use, Commercial Use, Public & Government Infrastructure) And By Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast To 2028 – KSU | The Sentinel Newspaper  KSU | The Sentinel Newspaper

Global Cloud Hardware Security Module Market 2020-2028 Financial Insights Business Growth Strategies with Top Key Players: Huawei, Alibaba, Chinese Constraction Bank, Google, Tencent – KSU | The Sentinel Newspaper  KSU | The Sentinel Newspaper

Joomla 3.9.26 is now available. This is a security release for the 3.x series of Joomla which addresses 2 security vulnerabilities and contains more than 30 bug fixes and improvements.

Joomla 3.9.25 is now available. This is a security release for the 3.x series of Joomla which addresses 9 security vulnerabilities and contains more than 40 bug fixes and improvements.

Once again the Joomla Project is pleased to announce the availability of the Joomla 4.0 Beta 7 release, and Joomla 3.10 Alpha 5.

Joomla 3.9.24 is now available. This is a security release for the 3.x series of Joomla which addresses 3 security vulnerabilities and contains more than 35 bug fixes and improvements.

Once again the Joomla Project is pleased to announce the availability of the Joomla 4.0 Beta 6 release, and Joomla 3.10 Alpha 4.

Open Source Matters Inc, the organisation behind Joomla!, and ScalaHosting are pleased to announce their strategic partnership.

Joomla 3.9.23 is now available. This is a security release for the 3.x series of Joomla which addresses 7 security vulnerabilities and contains more than 35 bug fixes and improvements.

Easy ERP is the perfect Joomla extension tool that let you manage your customers, suppliers, orders, invoices and bank accounts. Your customers will have a private area in your website to access all their information about orders and invoices, perfect for small business and for quick sales management. ✔️ Main Features Services & products manager including cost prices and profit calculation Orders and order workflow management, including refunds Customers and suppliers management Invoices and purchases management Bank accounts and movements management Private area in frontend for your customers ? Customers Management Ability to create, search, delete and edit customers from backend Attach Joomla user to customer to be able to access to private area in frontend View customer orders within edit form Ability to save as copy Create new order quickly from customers list Add customer information like: name, company, VAT number, phone, address ... ? Orders Management Ability to search, edit, print, and download all orders as excel file from backend Ability to see orders total amount and status Ability to view and download generated invoice of order Auto-increment order number Ability to set date, attach customer, add customer reference number and observations to order Execute order actions like: print, print as quotation, generate invoice order, email customer, cancel order Ability to set unit price, quantity, discount and add observations on each added product/service ?️ Invoices Management Ability to search, edit, print, and download all invoices as excel file from backend Ability to see invoices total amount and status Auto-increment invoice number Ability to set creation date, expiration date, paid on date and retentions, attach customer, add customer reference number and observations to order Execute invoice actions like: print, email customer, issue refund ? Suppliers Management Ability to create, search, delete and edit suppliers from backend Attach Joomla user to supplier View supplier purchase orders within edit form Ability to save as copy Register purchase order quickly from suppliers list Add supplier information like: name, company, VAT number, phone, address ... ?️ Purchase Orders Management Ability to search, edit, print, and download all purchase orders as excel file from backend Ability to see purchase orders total amount and status Ability to attach and view supplier invoice to purchase order Auto-increment purchase order number Ability to set creation date, paid on date, attach supplier, add supplier reference number and observations to purchase order Execute purchase order actions like: print, view invoice Ability to set unit price, quantity, discount and add observations on each added product/service ? Bank Accounts and Mouvements Management Ability to search, edit, delete, and download all accounts as excel file from backend Ability to check accounts balance history Ability to search, edit, delete, download all mouvements as excel file and import mouvements from CSV files from backend Ability to set creation date, value date, amount, balance, and reference, attach bank account, add change description of mouvement ➕ More Features Products & services manager Products categories manager Taxes manager Custom page footer in invoices & orders Set currency symbol and position Joomla extension updater support Joomla MVC structure support and more ... ? Last Added Features: Display Net cost price and net last sell price columns [Products List View] Display & store cost price of product when adding a new row [Invoice Form] Ability to change currency symbol position Ability to convert back purchase invoice to order  [Purchase Orders] ? Latest Updates v1.2.3 (04/05/2021) New Features Ability to convert back purchase invoice to order  [Purchase Orders] Fixed display wire transfer info only in status: issued or overdue Bank Account Number column length changed to 50 [Database] v1.2.2.1 (30/04/2021) Fixed Company logo was not displaying in documents and emails v1.2.2 (12/04/2021) New Features Display Net cost price and net last sell price columns [Products List View] Display & store cost price of product when adding a new row [Invoice Form] Improved No need to display year number next to sequence in first install v1.2.0 (25/01/2021) New Features Ability to change currency symbol position Improved Warning messages UI not use alerts in product detail row [Order View] Now amount formatting use Intl php library Fixed Product details not updated correctly in order when not yet saved [Order View] Check full changelog: https://www.joomboost.com/components-changelogs/453-easy-erp-changelog.html

This plugin adds more elements to the element library of the YOOtheme Pro page builder. Toggle Element: Display a button to hide content, switch between content or change its appearance. It's based on the UIkit Toggle component with all its options. Progress Element: Display your stats visually in an animated progress bar with a text label. It's based on the UIkit Progress component with all its options. Timeline Element: Display multiple panel elements in a vertical timeline. It has all the panel and card settings and many more style and layout options. Counter Element: Display your stats visually in an animated circular progress counter. Choose from many style and layout options. Flipcard Element: Display a panel element with a flipcard animation. It flips the panel on hover to reveal another panel with different content on the back side. Image Comparison Element: Quickly compare two images with a draggable slider showing a before-after effect. Choose from many image and slider icon options.

Look at your site through the eyes of your users. Discover usability problems, create better experiences and stop losing customers with UXtweak. UXtweak is a user experience research platform providing powerful tools for usability testing of websites, web apps and prototypes, information architecture research, and user behavior analytics. This plugin provides a simple integration of UXtweak on to your WordPress site, providing you with quick access to UXtweak features. UXtweak features: Conduct unmoderated task-based usability studies with the Website Testing feature. Create tasks and get instant feedback, recruit your ideal customers and when it’s done - analyze user behavior. All studies can include pre-post study, and after tasks questionnaires to collect additional feedback and screen respondents. Card Sorting and Tree Testing tools will help you improve your informational architecture, all to make your website intuitive and easy to use. Results will show how users group your content and whether the existing labels and category hierarchy match their expectations. UXtweak can capture every interaction a user has with your web with it’s Session Recording feature. Visualize customer frustration to better understand their issues. Analyze Heatmaps, do Activity Tracking and then dive into user research with advanced analytics! With unique functionalities such as Recruitment widget to turn a real site visitor into a website tester, Built-in reward feature to motivate respondents, Think-aloud protocol to collect audio feedback using respondents microphones, or Crowd Feedback allowing users to submit and vote for ideas of others to improve the website even more. UXtweak is available in following languages: English German Slovak Czech

Tabapapo is a component that is being developed for the Joomla! CMS. It is a chat room system based on the chat algorithm x-chat in ajax version xq 1.0 by Hedi Carlos Minin downloaded at: https://www.codigofonte.com.br/codigos/chat-em-ajax

VM2X CryptoCurrency Price For Joomla3 Introduction With the continuous rise of bitcoin price, digital currency has gradually become a hot topic in today's society, ,and everyone has begun to pay attention to digital currency .VM2X CryptoCurrrency Price Module help you display the real time market price of popular crypto currency price in your Joomla website, This is the simplest and most convenient product so far, you can config the update rate, scroll speed, coins,price Reserve Decimal at backend of module. Features 1. Simple and Easy Only display crypto currency logo and realtime market price (usd) as moveing scroll bar . Config Update rate : update data rate(millisecond). advice : 3000 – 6000 Speed : scroll bar move speed , default = 10 , advice : 10-15 Decimal: how many reserve decimal you want ,1-7 Coins List: select crypto currency that you want to display Display anywhere you want You can install the plugin at joomla backend, and create a new module, choose a position that you want to display in joomla frontend. My favorite place is Breadcrumbs! Support I would like to give you five-star support and any kind of customization about this module or anyther project about CryptoCurrency Author : Kevin Email : widcater@gmail.com Skype: widcater

RO Single Sign On allows your Joomla site to act as a service provider and use the login from a trusted identity provider. You can even turn your Joomla site into your own identity provider and become the single place where you manage your users. Instead of using an external party like Google or Facebook to handle your authentication you can use your Joomla site as an Identity Provider. Hook up any client, like any other Joomla site or another application that makes use of SAML to connect to your Joomla website. Using RO Single Sign On as Identity Provider makes connecting an identity provider very easy. Using RO Single Sign On you can use your Joomla website as a Service Provider by allowing your users to login with an external identity provider, for example ADFS within your network or Google/Facebook as outside providers.

This plugin logs outbound mail from Joomla! for troubleshooting and email send verification. Scenarios where this plugin is useful include: a site visitor tells you that they did not receive a password reset request or username reminder. you clicked the Send Test Mail button in Global Configuration but you did not receive the test email. A new site member registered but says they never received their activation email For each of these cases and more you can now search the log generated by this plugin to determine what really occurred. You do not need to enable Joomla! debug settings or configure any other plugins. Set different levels of mail logging for more information or less. Permit other loggers to also store mail info, or just let this plugin do it. By default, hides usernames and passwords from the log, but this masking can be disabled for troubleshooting ease. Works with the O3 Log Viewer extension, making troubleshooting your site email even easier.

As announced on the php.internals mailing list, a pair of malicious commits were made in the PHP source code repository over the weekend. These commits were immediately noticed and reverted, and thus never reached end users. The investigation into the root cause and exact scope of the compromise is still ongoing, therefore releases will be put on hold for two weeks assuming no further issues are discovered. Thank you for bearing with us while we endeavor to ensure that PHP is a stable and reliable platform for web development.

The PHP team is pleased to announce the eleventh testing release of PHP 8.0.0, Release Candidate 5. This is an extra unplanned release, but we're not planning to adjust the GA date, however, this may change during the course of the RC cycle. The updated release schedule can, as always, be found on the PHP Wiki page about the PHP 8.0. For source downloads of PHP 8.0.0 Release Candidate 5 please visit the download page.Please carefully test this version and report any issues found in the bug reporting system.Please DO NOT use this version in production, it is an early test version. For more information on the new features and other changes, you can read the NEWS file, or the UPGRADING file for a complete list of upgrading notes. These files can also be found in the release archive. The next release will be the General Availability, planned for Nov 26 2020.The signatures for the release can be found in the manifest or on the QA site.Thank you for helping us make PHP better.

The PHP team is pleased to announce the tenth testing release of PHP 8.0.0, Release Candidate 4. At this time, we're not planning to adjust the GA date, however this may change during the course of the RC cycle. The updated release schedule can, as always, be found on the PHP Wiki page about the PHP 8.0. For source downloads of PHP 8.0.0 Release Candidate 4 please visit the download page.Please carefully test this version and report any issues found in the bug reporting system.Please DO NOT use this version in production, it is an early test version. For more information on the new features and other changes, you can read the NEWS file, or the UPGRADING file for a complete list of upgrading notes. These files can also be found in the release archive. The next release will be the General Availability, planned for Nov 26 2020.The signatures for the release can be found in the manifest or on the QA site.Thank you for helping us make PHP better.

The PHP team is pleased to announce the tenth testing release of PHP 8.0.0, Release Candidate 3. At this time, we're not planning to adjust the GA date, however this may change during the course of the RC cycle. The updated release schedule can, as always, be found on the PHP Wiki page about the PHP 8.0. For source downloads of PHP 8.0.0 Release Candidate 3 please visit the download page.Please carefully test this version and report any issues found in the bug reporting system.Please DO NOT use this version in production, it is an early test version. For more information on the new features and other changes, you can read the NEWS file, or the UPGRADING file for a complete list of upgrading notes. These files can also be found in the release archive. The next release will be the Release Candidate 4, planned for Nov 12 2020.The signatures for the release can be found in the manifest or on the QA site.Thank you for helping us make PHP better.

The PHP team is pleased to announce the ninth testing release of PHP 8.0.0, Release Candidate 2. At this time, we're not planning to adjust the GA date, however this may change during the course of the RC cycle. The updated release schedule can, as always, be found on the PHP Wiki page about the PHP 8.0. For source downloads of PHP 8.0.0 Release Candidate 2 please visit the download page.Please carefully test this version and report any issues found in the bug reporting system.Please DO NOT use this version in production, it is an early test version. For more information on the new features and other changes, you can read the NEWS file, or the UPGRADING file for a complete list of upgrading notes. These files can also be found in the release archive. The next release will be the Release Candidate 3, planned for Oct 29 2020.The signatures for the release can be found in the manifest or on the QA site.Thank you for helping us make PHP better.

The PHP team is pleased to announce the eighth testing release of PHP 8.0.0, Release Candidate 1. At this time, we're not planning to adjust the GA date, however this may change during the course of the RC cycle. The updated release schedule can, as always, be found on the PHP Wiki page about the PHP 8.0. For source downloads of PHP 8.0.0 Release Candidate 1 please visit the download page.Please carefully test this version and report any issues found in the bug reporting system.Please DO NOT use this version in production, it is an early test version. For more information on the new features and other changes, you can read the NEWS file, or the UPGRADING file for a complete list of upgrading notes. These files can also be found in the release archive. The next release will be the Release Candidate 2, planned for Oct 15 2020.The signatures for the release can be found in the manifest or on the QA site.Thank you for helping us make PHP better.

The PHP team is pleased to announce the seventh testing release of PHP 8.0.0, Beta 4. This point in the release cycle would normally be RC1, however we're still finalizing development of the JIT and squaring away named arguments, so we've opted for an extra beta release with plans to start the RC cycle in two weeks. At this time, we're not planning to adjust the GA date, however this may change during the course of the RC cycle. The updated release schedule can, as always, be found on the PHP Wiki. For source downloads of PHP 8.0.0 Beta 4 please visit the download page.Please carefully test this version and report any issues found in the bug reporting system.Please DO NOT use this version in production, it is an early test version. For more information on the new features and other changes, you can read the NEWS file, or the UPGRADING file for a complete list of upgrading notes. These files can also be found in the release archive. The next release will be the Release Candidate 1, planned for Oct 1 2020.The signatures for the release can be found in the manifest or on the QA site.Thank you for helping us make PHP better.

PSH highlights and indents source code using highlight configuration files which are similar to Ultraedit highlighting files As such it currently supports C C Java Perl PHP Pascal Lisp Mumps The post PHP Syntax Highlighter appeared first on PHPBuilder.

404 redirect not found The post Redirecting on Page Not Found (404) appeared first on PHPBuilder.

This page will validate the structure of a string to your specifications This script will verify a password to make sure it contains a lower and upper case alpha character The post Password Structure Validation appeared first on PHPBuilder.

The Zend Framework's Zend_Cache component is an easy way to implement PHP caching, a sure site performance The post Boost PHP Site Performance with Zend Framework Data Caching appeared first on PHPBuilder.

By Ying Zhang on July 30, 2000 This document describes how to display safely formatted output from user input. We will discuss the dangers of displaying unfiltered output and then provide a safe means of displaying formatted output. Download the attachment and extract it into your web documents directory. Dangers... The post Displaying Formatted User Input appeared first on PHPBuilder.

This script will display a progress bar. It's beneficial when you are performing many tasks on the back end that take a while to complete. In these The post Displaying Dynamic Progress Bars appeared first on PHPBuilder.

All web developers will at some point need to program their own form. Whether it is for database submission, The post PHP Form Validation System: An Object-Oriented Approach appeared first on PHPBuilder.

Rank Performance Graph OS Outagehh:mm:ss FailedReq% DNS Connect Firstbyte Total 1 www.choopa.com Linux 0:00:00 0.000 0.255 0.003 0.024 0.025 2 Rackspace Linux 0:00:00 0.000 0.479 0.006 0.014 0.015 3 www.dinahosting.com Linux 0:00:00 0.000 0.211 0.081 0.162 0.162 4 Swishmail Linux 0:00:00 0.000 0.227 0.093 0.185 0.186 5 www.flexential.com Linux 0:00:00 0.000 0.258 0.099 0.198 0.198 6 New York Internet (NYI) FreeBSD 0:00:00 0.006 0.557 0.054 0.109 0.109 7 Bigstep Linux 0:00:00 0.006 0.200 0.076 0.152 0.152 8 Webair Linux 0:00:00 0.006 0.326 0.079 0.158 0.158 9 krystal.uk Linux 0:00:00 0.006 0.194 0.083 0.167 0.167 10 Hyve Managed Hosting Linux 0:00:00 0.006 0.141 0.083 0.167 0.167 See full table Choopa.com had the most reliable hosting company site in April 2021, heading the table for the fifth time in the past 12 months. The top five sites each responded to all of Netcraft’s requests, but Choopa.com’s average connection time of just 3ms wins it the top spot. The host offers a range of services including cloud hosting, dedicated hosting and colocation in its own primary facility in Piscataway, New Jersey as well as other facilities in Los Angeles, Amsterdam, and Tokyo.

In the April 2021 survey we received responses from 1,212,139,815 sites across 264,469,666 unique domains and 10,939,637 web facing computers. This is an increase of 24,611,866 sites, 1,114,050 domains and 91,955 computers. nginx gained the largest number of sites this month increasing by 12.5 million sites to 432,167,302. This also increases its market share to 35.65%, up 0.32 percentage points. Microsoft last month lost its place as third largest web server developer to OpenResty, this month it continued to lose sites (-3.6M) and market share, dropping 0.42pp to a market share of 5.54%. OpenResty gained 4.1 million sites and 0.21pp market share, while Apache gained 5.4 million sites but lost 0.08pp market share. Looking at domains Apache and OpenResty gained the largest amount, with LiteSpeed and Oracle also seeing increases. OpenResty increased by 467k unique domains (+1.2%), this growth is primarily fueled by its increased use at both Google Cloud and Amazon AWS. Apache gained a similar amount with 426k domains (+0.6%), LiteSpeed gained 52k (+1.0%), and Oracle gained 27k (+3.6%). In contrast, nginx, Microsoft and Google each lost domains, 483k (-0.6%), 331k (-2.2%) and 233k (-9.2%) respectively. In terms of web facing computers nginx gained the largest number with an increase of 59.6k (+1.6%) extending its market lead over Apache to 3.32 percentage points. Apache saw a smaller increase in the number of web facing computers making use of it (8k, +0.2%), this resulted in Apache losing 0.20pp market share. Microsoft lost both absolute numbers of computers, -15.3k (-1.1%), and market share, -0.25pp. Focusing in on the million busiest sites Cloudflare gained 2,721 sites, the only significant gain this month, it is now used by 16.70% of the million busiest sites. nginx and Microsoft saw the largest losses, 1,978 and 1,806 sites respectively, with Apache dropping 608. Other vendor and hosting news nginx version 1.20.0 was released on April 20th; this incorporates the features from the last year of development on the 1.19 mainline branch into a stable release that will not receive further feature updates. Prior to the release of version 1.20.0 the mainline 1.19 branch received a bug fix update on March 30th, and a minor update with features related to keepalives on April 13th. Apache Tomcat major versions 8, 9 and 10 were all updated on April 6th to pick up binaries built with OpenSSL 1.1.1k. Version 7 received a bug fix release on April 26th. DeveloperMarch 2021PercentApril 2021PercentChange nginx419,637,92335.34%432,167,30235.65%0.32 Apache308,509,04225.98%313,948,74125.90%-0.08 OpenResty77,819,4906.55%81,935,3916.76%0.21 Microsoft70,826,3425.96%67,182,7405.54%-0.42

Rank Performance Graph OS Outagehh:mm:ss FailedReq% DNS Connect Firstbyte Total 1 GoDaddy.com Inc Linux 0:00:00 0.000 0.348 0.006 0.031 0.033 2 Rackspace Linux 0:00:00 0.000 0.421 0.007 0.017 0.017 3 CWCS Managed Hosting Linux 0:00:00 0.000 0.285 0.081 0.161 0.161 4 Swishmail Linux 0:00:00 0.006 0.212 0.094 0.188 0.188 5 New York Internet (NYI) FreeBSD 0:00:00 0.011 0.519 0.055 0.110 0.110 6 Hyve Managed Hosting Linux 0:00:00 0.011 0.124 0.076 0.151 0.151 7 ServerStack Linux 0:00:00 0.011 0.205 0.094 0.188 0.188 8 Pair Networks Linux 0:00:00 0.017 0.336 0.110 0.219 0.219 9 Multacom Linux 0:00:00 0.017 0.381 0.124 0.250 0.250 10 www.flexential.com Linux 0:00:00 0.023 0.230 0.099 0.199 0.199 See full table In March 2021 GoDaddy had the most reliable hosting company site, with no failed requests and the fastest average connection time amongst the top 10 of 6ms. GoDaddy provides services that allow customers to build their own web presence, which include hosting solutions, domain registration, and a website builder focused on ease of use. In February, GoDaddy acquired Poynt to accelerate its strategy to provide a complete suite of commerce and payment services. The top three sites each had no failed requests and were separated by average connection time. Rackspace came in second place with an average connection time of 7ms, just 1ms slower than GoDaddy. Rackspace provides a wide variety of cloud services from its global network of over 50 locations in five continents. CWCS Managed Hosting wraps up the podium places, in third. CWCS supplies a wide range of hosting services from their ISO 27001, ISO 9001 accredited and Cyber Essentials certified UK data centres, powered by 100% renewable energy.

In the March 2021 survey we received responses from 1,187,527,949 sites across 263,355,616 unique domains and 10,847,682 web-facing computers. This reflects a loss of 16,724,462 sites, but a gain of 313,561 domains and 81,076 computers. nginx gained 3.7 million sites this month and holds 35.3% of the market with a total of 419.6 million sites. By contrast, Apache lost 8.5 million sites and accounts for just over a quarter of all sites with 308.5 million. Microsoft lost 9.6% (-7.5M) of its sites this month and ceded third place to OpenResty which in turn gained 1.2 million (+1.6%). OpenResty is a web platform based on nginx which integrates Lua-based modules and has been the third-largest server by domains for several months. Despite this, it trails the competition in terms of web-facing computers, with only 105,800 computers compared to Microsoft’s 1.4 million. nginx, Google, OpenResty, and LiteSpeed all acquired significant numbers of domains this month. nginx gained just over a million domains (+1.3%), while Google, OpenResty, and LiteSpeed gained 250,000 (+11.0%), 212,000 (+0.6%), and 68,600 (+1.3%). nginx’s domain growth came primarily from Freenom with 1.3 million domains using the server, while OpenResty’s growth came from its increased use on Google Cloud. Meanwhile, Apache and Microsoft lost -540,000 (-0.8%) and -585,000 (-3.7%) domains. nginx and Apache both gained web-facing computers this month with nginx gaining a substantial 74,000 additional computers and a gain of 0.4 percentage points of market share and Apache gaining 3,300 - though losing 0.2 percentage points of market share due to nginx’s comparative higher growth. Other vendors also saw market share losses, with Microsoft losing 24,200 computers (-0.3 pp) and OpenResty losing just over 200 computers (-0.01 pp) despite its gains in sites and domains. Looking at which web servers power the million busiest sites, only Cloudflare saw its count increase this month with a gain of 3,200 sites (+0.3 pp). Cloudflare’s growth came at the expense of nginx which lost the most with 1,570 fewer sites (-0.2 pp), along with Apache and Microsoft which both lost around 250 sites. The top spot remains hotly contested between Apache and nginx - Apache leads, but less than 2.5 percentage points separate the two. Other vendor and hosting news A major fire at OVH’s Strasbourg datacenters resulted in around 3.6 million websites across 464,000 domains being taken offline at the start of March. While this was not captured by this month’s Web Server Survey, additional investigation by Netcraft found that nearly 20% of the IP addresses attributed to OVH stopped responding during the incident. One of the four data centers at the site, SBG2, was completely destroyed, and OVH is now provisioning thousands of new servers to replace those lost. Windows Server 2022 is now in preview and will be made generally available later in 2021. The features added in this release focus on adding new layers of security, integrating more tightly with Microsoft’s Azure platform, and improving Windows Containers. The current major release, Windows Server 2019, was made generally available nearly two and a half years ago in October 2018. nginx version 1.19.8 and njs version 0.5.2 were released on the 9th March. Both updates add minor new features and bug fixes. OpenLiteSpeed, the open-source variant of LiteSpeed Enterprise, received several updates through February and March, with versions 1.5.12, 1.6.20, and 1.7.9 containing primarily security updates and bug fixes. Apache Tomcat was updated to versions 9.0.44 and 10.0.4. Both updates include a variety of fixes, including improvements to asynchronous error handling. DeveloperFebruary 2021PercentMarch 2021PercentChange nginx415,900,47934.54%419,637,92335.34%0.80 Apache316,992,63826.32%308,509,04225.98%-0.34 OpenResty76,623,4406.36%77,819,4906.55%0.19 Microsoft78,331,3796.50%70,826,3425.96%-0.54

Over 100,000 Outlook Web Access servers have been rebooted since Microsoft released security updates for the ProxyLogon remote code execution vulnerability. The subsequent flurry of reboot activity is likely indicative of many Microsoft Exchange servers being restarted after having security updates applied. Last reboot dates of Outlook Web Access servers as at 14 March 2021. Around half of all servers running Outlook Web Access (a service included with Microsoft Exchange Server) were rebooted in the five days after the emergency patch was released. Some of these have since been rebooted again, so will appear later in the above graph. Rebooted machines are likely to have been updated, but the absence of a reboot after 2 March does not necessarily indicate vulnerability. Anecdotally, most servers have requested a reboot after being updated, but some may only require services to be restarted – although administrators may have opted to reboot the servers anyway. Microsoft’s original fixes can only be applied to servers that already have the latest cumulative updates of Exchange Server already installed; however, amidst mass exploitation of the vulnerabilities, Microsoft also released a set of security updates that can be applied to older and unsupported Exchange servers that do not—or cannot—have the latest cumulative updates installed. The alternative security update path is intended as a temporary measure to protect vulnerable machines. Crucially, installing a later cumulative update that does not include the March 2021 security fixes will make the server vulnerable again, and any machine that uses the alternative security update path must be rebooted even if not prompted. In these cases, the servers will certainly not be protected until after the reboot. Some of the more recent reboots may have been prompted by Microsoft’s 9 March “Patch Tuesday” collection of software updates, which also includes fixes for the remote code execution vulnerabilities in Microsoft Exchange. On 6 March, four days after the original security updates were released, Netcraft found more than 99,000 Outlook Web Access servers were still running versions flagged as definitely vulnerable by Kevin Beaumont. However, applying Microsoft’s updates even in a timely fashion could have been like shutting the barn door after the horse had bolted, as more than 10% of all visited Outlook Web Access installations were already compromised with attackers’ web shells installed. These provide the criminal with continued administrative access to the compromised servers after the security updates had been applied.

Around 3.6 million websites across 464,000 distinct domains were taken offline after the major fire at an OVHcloud datacenter site in Strasbourg overnight. More than 18% of the IP addresses attributed to OVH in Netcraft’s most recent Web Server Survey — which took place two weeks ago — were no longer responding at 06:00-07:15 UTC this morning. A load monitoring graph of a server that was running at one of OVH’s Strasbourg datacenters.It was last updated at 01:13 UTC today, indicating when it became inaccessible during the fire. Thankfully, everybody is safe; but OVH said the fire in its SBG2 datacenter was not controllable and no data is likely to be recoverable. Part of its SBG1 datacenter has also been destroyed. Firefighters were protecting SBG3 throughout the night, and although there was no direct fire impact on SBG4, it was also unavailable due to the whole site being isolated. Consequently, all services in SGB1-4 have been offline. Websites that went offline during the fire included online banks, webmail services, news sites, online shops selling PPE to protect against coronavirus, and several countries’ government websites. Examples of the latter included websites used by the Polish Financial Ombudsman; the Ivorian DGE; the French Plate-forme des achats de l’Etat; the Welsh Government’s Export Hub; and the UK Government’s Vehicle Certification Agency website, which got a new SSL certificate by 10am and is now back online with a UK hosting company. Banking websites have also been hit by the fire. Unsurprisingly for a French hosting company, the most affected country code top-level domain (ccTLD) is .fr, which had 184,000 knocked-out websites spread across 59,600 distinct domain names – these account for 1.9% of all .fr domains in the world. In comparison, there were only 24,100 .uk websites hosted in the affected datacenters, across just 8,700 unique domains. Most of the affected websites use the generic .com top-level domain, amounting to 880,000 websites across 180,000 domains.

This weekend, several days after Tuesday 2nd March when Microsoft released fixes for the ProxyLogon vulnerability, Netcraft found more than 99,000 unpatched Outlook Web Access servers accessible on the internet — of which several thousand have clear evidence of one or more web shells installed. Outlook Web Access (OWA) provides remote access to on-premises Microsoft Exchange mailboxes. While a treasure trove of corporate email is a tempting enough target itself, it can also act as a jumping-off point for deeper network access. Vulnerable versions allow unfettered remote access to the mail server. Originally attributed to the Hafnium group, the variety of different web shells and file naming conventions found by Netcraft suggest that the shells belong to multiple groups who have been spurred into action since Microsoft’s announcement by the scale of the opportunity. Vulnerable OWA installations as at 6 March 2021, based on passive observation of version numbers. Source: Netcraft survey. Netcraft has established that at least 10% of all visited OWA installations are now infested with web shell backdoors that do not use randomised filenames, and so could plausibly be guessed by anybody. These implants allow continued administrative access to the server, long after the underlying vulnerability has been patched. One of the backdoor scripts, disguised as an innocuous variable dump in a file named supp0rt.aspx. The active component of the backdoor is ‘hidden’ near the middle of the file. All of the backdoors hide in plain sight on the web server’s file system but are disguised as benign scripts or information dumps in order to avoid detection. There are several different variants of the backdoor script, but all have the same common feature in that they pass the hacker’s commands to the JScript Eval command, allowing arbitrary code to be executed directly on the web server. Most of the backdoor scripts accept the criminals’ arbitrary commands via a specially named GET or POST parameter, while others require the commands to be Base64 encoded first, and some only accept them via a POST parameter. Some variants of the backdoor script generate a runtime error if the secret variable name does not appear in the request. This makes it possible to detect their presence regardless. Netcraft has also seen several different variants of these backdoor scripts being uploaded to individual websites, likely in an attempt to preserve unauthorised access to the compromised web server. Unless all of the backdoor scripts are found and removed, the hackers will still be able to get in and create more. The web shell when viewed in a browser. There is no obvious indication of its malicious functionality. While some of the backdoor variants are wildly different in appearance, they all function in a similar way and require the user to know a secret variable name before any commands can be executed on the server. The variable name effectively acts as a password and provides the only security mechanism to ensure that the backdoor can only be used by the person or persons responsible for uploading it. However, some of the shells use easily guessable variable names like “o” and “orange”, which could plausibly allow them to be misused by other hackers if they can find the scripts and guess the correct variable names. This presents an even more dangerous situation where other fraudsters could then upload their own web shells to secure a foothold on the server. Such a situation could escalate quickly… new battlegrounds could erupt where rival fraudsters try to delete each others’ web shells and upload more of their own in a race to secure access and decide how best to monetize their exploits, all long after the initial OWA vulnerabilities have been resolved.

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