PyCoder’s Weekly: Issue #397 (Dec. 3, 2019)

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#397 – DECEMBER 3, 2019
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Guido van Rossum Withdraws From the Python Steering Council

“Part of my reason is that in the end, SC duty feels more like a chore to me than fun, and one of the things I’m trying to accomplish in my life post Dropbox retirement is to have more fun. To me, fun includes programming in and contributing to Python, for example the PEG parser project.”

Python Descriptors: An Introduction

Learn what Python descriptors are and how they’re used in Python’s internals. You’ll learn about the descriptor protocol and how the lookup chain works when you access an attribute. You’ll also see a few practical examples where Python descriptors can come in handy.

Become a Python Guru With PyCharm


PyCharm is the Python IDE for Professional Developers by JetBrains providing a complete set of tools for productive Python, Web and scientific development. Be more productive and save time while PyCharm takes care of the routine →

PSF Giving Tuesday Fundraiser

When you support the Python Software Foundation on Giving Tuesday you’l support organizations like the Cameroon Digital Skills Campaign. The global donatio drive runs for 24 hrs starting December 3.

PIP_REQUIRE_VIRTUALENV: Requiring an Active Virtual Environment for Pip

After setting the PIP_REQUIRE_VIRTUALENV environment variable, Pip will no longer let you accidentally install packages if you are not in a virtual environment.

Testing Your Python Package as Installed

How to test Python packages as they will be installed on your users’ systems to avoid subtle bugs.

Flattening Nested Loops for Parallel Processing Speed Gains

A functional programming pattern you can use to parallelize the processing of nested loops.

Python Jobs

Senior Python Engineer (Munich, Germany)

Stylight GmbH

Senior Python/Django Developer (Eindhoven, Netherlands)


Django Full Stack Web Developer (Austin, TX)


Contract Python / RaspPi / EPICS (Remote)

D-Pace Inc

More Python Jobs >>>

Articles & Tutorials

Reducing Pandas Memory Usage With Lossy Compression

“If you want to process a large amount data with Pandas, there are various techniques you can use to reduce memory usage without changing your data. But what if that isn’t enough? What if you still need to reduce memory usage? Another technique you can try is lossy compression: drop some of your data in a way that doesn’t impact your final results too much.”

Pandas: How to Read and Write Files

In this tutorial, you’ll learn about the Pandas IO tools API and how you can use it to read and write files. You’ll use the Pandas read_csv() function to work with CSV files. You’ll also cover similar methods for efficiently working with Excel, CSV, JSON, HTML, SQL, pickle, and big data files.

Python Developers Are in Demand on Vettery


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Python, Boto3, and AWS S3: Demystified

Get started working with Python, Boto3, and AWS S3. Learn how to create objects, upload them to S3, download their contents, and change their attributes directly from your script, all while avoiding common pitfalls.

“Python Already Replaced Excel in Banking”

“You can already walk across the trading floor and see people writing Python code…it will become much more common in the next three to four years.”

A Simple Explanation of the Bag-Of-Words Model Using Python

The bag-of-words (BOW) model is a representation that turns arbitrary text into fixed-length vectors by counting how many times each word appears.

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Property Based Testing for Scientific Code in Python

How to write better tests in less time by using property based testing with the hypothesis package.
MARKUS KONRAD • Shared by Markus Konrad

Projects & Code

pywonderland: Tour in the Wonderland of Math With Python

A collection of Python scripts for drawing beautiful figures and animating interesting algorithms in mathematics.


PiterPy Meetup

December 10, 2019

Happy Pythoning!
This was PyCoder’s Weekly Issue #397.
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