9 Amazing Articles on Python Programming

9 Amazing Articles on Python ProgrammingA collection of our favorite pieces from the last yearSeattleDataGuyBlockedUnblockFollowFollowingApr 23A lot is happening in the world of Python.

Support for Python 2 is ending and more and more companies are referencing Python in job descriptions as it continues to gain new libraries and more support.

Since there is so much changing so fast, we gathered some of our favorite pieces.

We hope they help you with your Python programming journey!Python 2 EOL: How to Survive the End of Python 2By Serdar YegulalpOn January 1, 2020, the 2.

x branch of the Python programming language will no longer be supported by its creators, the Python Software Foundation.

Here’s what you can do if you’re stuck with Python 2 in what is fast becoming a Python 3 world.

Read More HereWhat Do Companies Expect From Python Devs In 2019?By Andrew StetsenkoWhat skills do you need to succeed as a Python dev in 2019?Our team took 300 job specs for Python developers, scrapped from StackOverflow, AngelList, LinkedIn, and some fast-growing tech companies worldwide.

Read More HereAsynchronous Programming in Python: A Walkthroughby David BoltonWhen we talk about program execution, “asynchronous” means that the program doesn’t wait for a particular process to complete, but carries on regardless.

Read More HereBuggy Python Code: The 10 Most Common Mistakes That Python Developers MakeBy Martin ChikilianPython’s simple, easy-to-learn syntax can mislead Python developers, especially those new to the language, into missing some of its subtleties and underestimating the power of the diverse Python language.

Read More HereCreating a Heatmap From Scratch in PythonHeatmaps are frequently used to visualize event occurrence or density.

There are some Python libraries or GIS software/tools that can be used to create a heatmap, such as QGIS, ArcGIS, and Google Table Fusion.

Unfortunately, this piece doesn’t discuss how to create a heatmap using those software/tools, but more than that, we will write our own code to create a heatmap in Python 3 from scratch.

The algorithm which will be used to create a heatmap in Python is Kernel Density Estimation (KDE).

Please refer to QGIS Heatmap Using KDE Explained for more explanation about KDE and Heatmap Calculation Tutorial which gives an example of how to calculate intensity for a point from a reference point using KDE.

Read More HereHow to Build Your Own Neural Network From Scratch in PythonBy James LoyMost introductory texts to Neural Networks brings up brain analogies when describing them.

Without delving into brain analogies, I find it easier to simply describe Neural Networks as a mathematical function that maps a given input to the desired output.

Read More HereWhat Exactly Can You Do With Python?.Here Are Python’s 3 Main Applicationsby YK Sugi“What exactly can I use Python for?”Well, that’s a tricky question to answer because there are so many applications for Python.

Read More HerePython Programming Language Gets Speed Boost From Latest PyPy InterpreterBy Nick HeathGood news for Python developers, thanks to a new release of the already speedy PyPy interpreter that promises to be the fastest version yet.

If you’re programming using Python, an important choice is whether to run your code using the main CPython interpreter or an alternative such as PyPy, with each option having pros and cons.

Read More HereHow to Collect, Customize, and Centralize Python LogsBy Emily Chang and Nils BungeThe logging module is included in Python’s standard library, which means that you can start using it without installing anything.

The logging module’s basicConfig() method is the quickest way to configure the desired behavior of your logger.

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