| Last Python 2.7 Maintenance Release on April 2020 |
Python 2.7 is retired and became EOL on Jan 1, 2020. The last 2.7 release will be in April 2020.
Ubuntu 20.04 LTS Moves Along With Its Python 2 Removal
“With Python 2 having reached end-of-life at the start of 2020, Ubuntu and Debian developers continue their work on removing Python 2 at least from the base OS. Work continues on transitioning packages to Python 3 or otherwise ultimately dropping unmaintained packages.”
Optimize Your Python Applications in One Place
Dissect problematic requests with Datadog’s detailed flame graphs, and trace their path across your environment. See which caches, databases, or services are generating errors or contributing to overall latency to assist troubleshooting efforts or to identify opportunities for optimization →
Learn how to use args and kwargs in Python to add more flexibility to your functions. You’ll also take a closer look at the single and double-asterisk unpacking operators, which you can use to unpack any iterable object in Python.
REAL PYTHON video
I’m Not Feeling the Async Pressure
“So for you developers of async libraries here is a new year’s resolution for you: give back pressure and flow control the importance they deserve in documentation and API.”
Considering Python’s Target Audience 
Who is Python being designed for? CPython core dev Nick Coghlan discusses Python’s and PyPI’s target audience and design philosophy. Recommended reading.
DjangoCon Europe 2020 Announcement
DjangoCon Europe 2020 will take place in Porto, Portugal from May 27–31, 2020.
Which Little Known Python Tool Do You Consider Indispensable?
reprlib.recursive_repr() – Which one is your favorite?
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Articles & Tutorials
A Python Packaging Carol
“Quite often, I see people being wrong on the internet about Python packaging. But the way in which they’re wrong is subtle, and often passes unnoticed. The issue with much of the discussion is in conflating multiple different things under the term ‘packaging’, and failing to be clear exactly which of them is being discussed or criticized.”
Using Pandas and Python to Explore Your Dataset
In this step-by-step tutorial, you’ll learn how to start exploring a dataset with Pandas and Python. You’ll learn how to access specific rows and columns to answer questions about your data. You’ll also see how to handle missing values and prepare to visualize your dataset in a Jupyter notebook.
How to Build a Python Recommendation Engine
Did you know that 70% of movies a Netflix user watches are from recommendations? Recommendation engines provide significant value to user-bases. Check out ActiveState’s tutorial on how to build your own in Python with Pandas and Flask →
Counting Queries: Basic Performance Testing in Django
“Testing application performance is hard and time consuming, but there’s a type of test that is both easy to do and has a great impact in performance. In this blog post we will show how to unit test the number of queries to the database your application is making.”
FILIPE XIMENES • Shared by Filipe Ximenes
NumPy supports different ways of generating arrays, and this tutorial is going to explore one way of do so, using the
np.linspace() function. It returns evenly-spaced numbers and can generate arrays of any dimensionality.
pytest Features You Need in Your (Testing) Life
Tips that make your testing experience more enjoyable and more efficient, like filtering warnings, testing stdout/stderr, and parametrization.
Autograding Handwritten Mathematical Answer Sheets
This article is about building a computer vision model to automatically grade handwritten mathematical worksheets using Python.
DIVYAPRABHA M • Shared by Divyaprabha M
Making Python Programs Blazingly Fast
“First rule of optimization is to not do it. But, if you really have to, then I hope these few tips help you with that.”
Zero-Downtime Deploys With a Single Server
How PyDist achieves zero-downtime deploys without a typical load balancer and blue/green server infrastructure.
ALEX BECKER • Shared by Alex Becker
Measure and Improve Python Code Performance with Blackfire.io
Profile in development, test/staging, and production—with no overhead for end users! Blackfire supports any Python version from 2.7.x and 3.x. Find bottlenecks in wall-time, I/O, CPU, memory, HTTP requests and SQL queries.
How to Write a Python Web API With Pyramid and Cornice
Using Pyramid and Cornice to build and document scalable RESTful web services.
Interview With Guido van Rossum
THE OXFORD UNION SOCIETY video
20 Most-Rated Python Questions at StackOverflow in 2019
How to Read a File in Python, Write To, and Append, to a File
Atomic Lock-Free Counters in Python
Projects & Code
cachew: Persistent Cache/Serialization Powered by Type Hints
tmtoolkit: Text Mining and Topic Modeling Toolkit
GITHUB.COM/WZBSOCIALSCIENCECENTER • Shared by Markus Konrad
vidgear: Video Processing Framework for Python
sheetfu: Python Library to Interact With Google Sheets V4 API
karateclub: Unsupervised Learning on Graph Data Structures
ElasticBatch: Easy Elasticsearch Inserts for Data Processing Workflows
GITHUB.COM/DKASLOVSKY • Shared by Daniel Kaslovsky
switchenv: Python-Based Tool for Managing Bash Environments
GITHUB.COM/ROBDMC • Shared by Rob deCarvalho
codetiming: Flexible, Customizable Timer for Your Python Code