| PyCon US 2022 Highlights |
“It was wonderful to be back at PyCon US in person again. PyCon is way too big for any one person’s summary to tell the whole story, but I’m happy to share some of my personal highlights from this year’s event.”
ERIC MATTHES • Shared by Eric Matthes
Top Python Game Engines
In this tutorial, you’ll explore several Python game engines available to you. For each, you’ll code simple examples and a more advanced game to learn the game engine’s strengths and weaknesses.
Ultimate Guide to Python Pickle: How To’s, Exploits & Safety
Python’s pickle library is useful in maintaining persistence within complex data structures and objects. Learn how to safely use a pickle in application development using this comprehensive guide →
PyScript: Unleash the Power of Python in Your Browser
PyScript was announced at PyCon US 2022, it is a web-based application allowing you to use both Python and HTML to create applications. Discover what it can do and how it was built.
Python News: What’s New From April 2022
In April 2022, the PyCon US conference happened in Salt Lake City. During the conference, Python developers met for the annual Language Summit, and Anaconda announced PyScript, a way to write Python directly inside HTML. In this article, you’ll learn more about what happened in the last month in the world of Python.
Modern Python Performance Considerations
There’s nothing like talking about Python and speed to stir up a conversation. Join this discussion about Jake Edge’s Modern Python performance considerations article.
Which Python Package Has the Best Implementation?
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Articles & Tutorials
Testing Your Code With pytest
In this video course, you’ll learn how to take your testing to the next level with pytest. You’ll cover intermediate and advanced pytest features such as fixtures, marks, parameters, and plugins. With pytest, you can make your test suites fast, effective, and less painful to maintain.
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How the Cinder JIT’s Function Inliner Optimizes
Cinder is an open-sourced fork of CPython that includes optimizations like immortal objects, inline caching, Static Python, Strict Modules, and a Just-In-Time compiler. This article does a deep dive on how their JIT handles function in-lining for performance gains.
Join Our Free Online Community With Anaconda Nucleus
Anaconda Nucleus is our education and community engagement platform. The platform features a wealth of data science content ranging from articles to webinars to videos and more. Join to ask questions and engage other data professionals →
A Beginner’s Guide to Visualizing Audio in Python
Visualizing data with a spectrogram helps reveal hidden insights in the audio data that may have been less apparent in the traditional waveform representations. With some
scipy you can visualize your audio in a few short lines.
PEP 690: Lazy Imports
This PEP proposes the ability to defer the execution of imported modules until the moment when an imported object is used. Lazy imports can greatly reduce the overall number of modules initially loaded, improving startup time and memory usage.
Exploring Google Analytics Realtime Data With Python
Google Analytics can provide a lot of insight into your website’s traffic and although they have dashboard tools, you may want to dive deeper. Using the Google Analytics API you can retrieve your analytics data and be in full control.
An Overview of Structural Pattern Matching for Python
match statement, which provides a C-like
switch statement (though it is far more than that) was introduced in Python 3.10. Learn the history of the feature, how it is used, and how it works.
Trickery to Tame Big WebAssembly Binaries
WASM is great, who doesn’t want Python in the browser, but it often requires an expensive cold load of a page. Read more about how to minimize your WASM downloads for speedier Python in the web.
or are processed in your code, how Boolean short-circuiting works, how “truthy” values effect this, and how all this is handled in the
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Converting a Python Library to Rust
Alan describes his experience porting his Python library August to Rust. He outlines the resulting performance difference and things he learned along the way.
Learn the different ways of chaining calls in the Django ORM, how sometimes it results in duplicate objects, and what to do about it.
Projects & Code
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madbg: A Fully-Featured Remote Debugger for Python
im2cmap: Convert Images to matplotlib Colormaps
GITHUB.COM/ARVKEVI • Shared by Kevin Arvai
pepdocs: Read PEPs in Your Console
gpt-2-simple: Retrain GPT-2 Text-Gen Model on New Texts
Django styleguide used in HackSoft projects