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Python Pool: NUMPY FLIPLR() EXPLAINED WITH EXAMPLES

Link: https://www.pythonpool.com/numpy-fliplr/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-fliplr

Hello geeks and welcome in this article, we will cover NumPy fliplr. Along with that, we will also look at its syntax and parameters. To make the topic crystal clear, we will also look at a couple of
Python Pool: Python Code to Convert a Table to First Normal Form

Link: https://www.pythonpool.com/python-code-to-convert-a-table-to-first-normal-form/?utm_source=rss&utm_medium=rss&utm_campaign=python-code-to-convert-a-table-to-first-normal-form

Python has thousands of modules and libraries to help you with tabular data. These datasets can contain many different ways in which the data can be represented. Before inferring any valuable informat
Stack Abuse: Reading and Writing HTML Tables with Pandas

Link: https://stackabuse.com/reading-and-writing-html-tables-with-pandas/

Introduction
Hypertext Markup Language (HTML) is the standard markup language for building web pages. We can render tabular data using HTML's <table> element. The Pandas data analysis library provides
Matt Layman: Refactoring Enrollment - Building SaaS #84

Link: https://www.mattlayman.com/building-saas/refactoring-enrollment/

In this episode, I decided to redesign a portion of the application flow. I wasn’t pleased with how users would enroll students for their grades so I refactored the school year page into a flow that w
Python Pool: NUMPY POLYFIT EXPLAINED WITH EXAMPLES

Link: https://www.pythonpool.com/numpy-polyfit/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-polyfit

Hello geeks and welcome in this article, we will cover NumPy.polyfit(). Along with that, for an overall better understanding, we will look at its syntax and parameter. Then we will see the application
Real Python: The Real Python Podcast – Episode #41: 2020 Real Python Articles in Review

Link: https://realpython.com/podcasts/rpp/41/

It's been quite the year! The Real Python team has written, edited, curated, illustrated, and produced a mountain of Python articles this year. We also upgraded the site and membership with office hou
Python Pool: Numpy Determinant | What is NumPy.linalg.det()

Link: https://www.pythonpool.com/numpy-determinant/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-determinant

Hello geeks and welcome in this article, we will cover NumPy.linalg.det(), also known as numpy determinant. Along with that, for an overall better understanding, we will look at its syntax and paramet
Python Pool: XML to CSV Conversion Using Python

Link: https://www.pythonpool.com/python-xml-to-csv/?utm_source=rss&utm_medium=rss&utm_campaign=python-xml-to-csv

Hello coders!! In this article we will learn how to convert an xml file into a csv file in python. So without much ado lets directly dive into the topic.
What is XML?
XML stands for Extensible Markup
Matthew Wright: Indexing and Selecting in Pandas (part 1)

Link: https://www.wrighters.io/2020/12/26/indexing-and-selecting-in-pandas-part-1/

The topic of indexing and selecting data in pandas is core to using pandas, but it can be quite confusing. One reason for that is because over the years pandas has grown organically based on user requ
Weekly Python StackOverflow Report: (cclvi) stackoverflow python report

Link: http://python-weekly.blogspot.com/2020/12/cclvi-stackoverflow-python-report.html

These are the ten most rated questions at Stack Overflow last week.Between brackets: [question score / answers count]Build date: 2020-12-26 21:57:46 GMTTrain and predict on variable length sequences -
Python Pool: Python Forking: Explanation and Illustration

Link: https://www.pythonpool.com/python-forking/?utm_source=rss&utm_medium=rss&utm_campaign=python-forking

Hello coders!! In this article, we will be learning about forking and its implementation in python. In computer science and technology, the term fork has primarily two meanings:
Cloning a processDeve
Sandro Tosi: Python: sent emails with embedded images

Link: http://sandrotosi.blogspot.com/2020/12/python-sent-emails-with-embedded-images.html

to send emails with images you need to use MIMEMultipart, but the basic approach: import smtplibfrom email.mime.multipart import MIMEMultipartfrom email.mime.image import MIMEImagemsg = MIMEMultipart(
Python Pool: WHAT IS NUMPY CHOOSE()? EXPLAINED IN DETAIL

Link: https://www.pythonpool.com/numpy-choose/?utm_source=rss&utm_medium=rss&utm_campaign=numpy-choose

Hello geeks and welcome in this article, we will cover NumPy.choose(). Along with that, for an overall better understanding, we will look at its syntax and parameter. Then we will see the application
Catalin George Festila: Python 3.9.1 : Testing the drawSvg python package.

Link: http://python-catalin.blogspot.com/2020/12/python-391-testing-drawsvg-python.html

The tutorial for today is about drawSvg python package.
This python package let you to create SVG images (vector drawings) and rendering them or displaying them in a Jupyter notebook.
Let's install it
Brett Cannon: Unravelling boolean operations

Link: https://snarky.ca/unravelling-boolean-operations/

As part of my series on Python's syntactic sugar, I am going to cover boolean operations: a or b and a and b.The semanticsA key thing to know about or and and is that they short-circuit. What that mea
Mike Driscoll: PyDev of the Week: Amanda Sopkin

Link: https://www.blog.pythonlibrary.org/2020/12/28/pydev-of-the-week-amanda-sopkin/

This week we welcome Amanda Sopkin (@amandasopkin) as our PyDev of the Week! She enjoys writing, teaching and the hackathon community. Amanda has given several talks at various Python conferences as w
Django Weblog: Channels security release issued: 3.0.3

Link: https://www.djangoproject.com/weblog/2020/dec/28/channels-security-release-issued/

In accordance with our security release policy, the Django team is issuing
Channels 3.0.3. This release addresses the security issue detailed below. We
encourage all users of Channels to upgrade as so
PyBites: Python in Everyday Life

Link: https://pybit.es/python-homework.html

I've been learning Python for 6 to 7 months now, and have really enjoyed it. Slowly but surely, I am finding ways to incorporate what I have learned in Python and other things such as Git, terminal us