#490 – SEPTEMBER 14, 2021
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Applying PEP 8 in Practice
“Two recent threads on the python-ideas mailing list have overlapped to a certain extent; both referred to Python’s [PEP 8] style guide, but the discussion indicates that the advice in it may have been stretched further than intended.”
JAKE EDGE
How to Log in Python Like a Pro
Learn what good logging is, and how you should implement it in Python. Comes with meaningful examples and rules of thumb on what and how to log.
GUILHERME LATROVA
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Python News: What’s New From August 2021?
August 2021 was an eventful month in the world of Python. In this article, you’ll get up to speed on everything that happened in the past month, including three new Python releases.
REAL PYTHON
Unravelling async for Loops
Python’s async for statement allows convenient iteration over asynchronous iterators. In this article you’ll see how async for loops work behind the scenes.
BRETT CANNON
Discussions
Black Autoformatter Core Team AMA
The core team behind the popular Python autoformatter Black did an “ask me anything” (AMA) thread on Reddit.
REDDIT
Python Jobs
Senior Backend Software Engineer (Remote)
Data Engineer Python & PostgreSQL (Newport Beach, CA)
Sr Backend Developer (Amsterdam, Netherlands)
Lead Developer Python (Remote)
Articles & Tutorials
Python Is a Bad Programming Language
“I’ll say it again: Python is a bad programming language, and the only reason it’s so popular today is because Google pushed it so hard in the first decade of the 2000s.” Related discussion of this controversial article on Hacker News.
MICHAEL MORENO opinion
Using Data Classes in Python
One new and exciting feature that came out in Python 3.7 was the data class. A data class is a class typically containing mainly data, although there aren’t really any restrictions. With data classes, you don’t have to write boilerplate code to get proper initialization, representation, and comparisons for your objects.
REAL PYTHON video
Data Elixir: Data Science Newsletter
Data Elixir is an email newsletter that keeps you on top of the tools and trends in Data Science. Covers machine learning, data visualization, analytics, and strategy. Curated weekly with top picks from around the web →
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Advantages of Completing Small Python Projects
Are you a beginner or intermediate Python programmer who has made it through some of the fundamentals? Have you tried to tackle a big project but got stuck and frustrated? Completing some small projects might be the answer. This week on the show, author Al Sweigart.
REAL PYTHON podcast
Common Ways for Parallelizing Python Code
This article reviews some common options for parallelizing Python code, including multiprocessing, specialized libraries, ipython parallel, and ray.
MICHAEL GALARNYK • Shared by Michael Galarnyk
A Python Guide to the Fibonacci Sequence
Explore the Fibonacci sequence in Python, which serves as an invaluable springboard into the world of recursion, and learn how to optimize recursive algorithms in the process.
REAL PYTHON
DataStax Astra DB – Built on Apache Cassandra. Get 80 Gigabytes of Storage Free Every Month
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All The Ways to Compress and Archive Files in Python
How to compress, decompress, and manage archives and files with Python in all the formats you might ever need.
MARTIN HEINZ • Shared by Martin Heinz
Projects & Code
pyreports: Create Complex Report From Various Sources
GITHUB.COM/MATTEOGUADRINI • Shared by Matteo Guadrini
Events
Real Python Office Hours Q&A (Virtual)
September 15, 2021
REALPYTHON.COM
PyCon India 2021 (Virtual)
September 17 to September 21, 2021
PYCON.ORG
PyWeek 32 Game Jam (Virtual)
September 19 to September 20, 2021
PYWEEK.ORG
Happy Pythoning!
This was PyCoder’s Weekly Issue #490.
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