/Python

Unravelling `for` Statements

- Brett Cannon tl;dr: "I will be diving into CPython's C code, but understanding or even reading those parts of this post won't be required in order to understand how the unravelling works."

featured in #223


PyCon Us 2021 Call for Proposals is Open!

- Jackie Augustine tl;dr: "During this unique year we will be asking presenters to pre-record their session and be available online during their sessions to engage with the attendees via chat." Proposals due February 12, 2021.

featured in #221


Higher Kinded Types in Python

- Nikita Sobolev tl;dr: Nikita explains what Higher Kinded Types (HKTs) are, why they are useful, how they are implemented, limitations and how they can be used in projects.

featured in #213


Python For Feature Film

- Dhruv Govil tl;dr: "How programming can be such a vital part of bringing moving to life nowadays, and more specifically, how Python itself is so useful." Dhruv shows us how Python contributes to lighting, fx, animation, and more.

featured in #212


Python Developers Survey 2020

tl;dr: "We encourage you to participate by taking this 10-minute survey and making an invaluable contribution to the community. "

featured in #211


How To Detect Plagiarism In The Text Using Python

- Jordan Kalebu tl;dr: "In this tutorial, we're going to learn how to Make a Plagiarism Detector in Python using machine learning techniques such as word2vec and cosine similarity in just a few lines of code."

featured in #210


Python 3.9: Cool New Features For You To Try

- Geir Arne Hjelle tl;dr: Proper time zone support, updating dictionaries effectively, using decorators based on expressions, combining type hints and other annotations.

featured in #209


Fastcore: An Underrated Python Library

- Hamel Husain tl;dr: Fastcore is "a unique python library that extends the python programming language and provides utilities that enhance productivity."

featured in #205


Discover The Role Of Python in Space Exploration

tl;dr: "The goal is not to learn Python, the goal is to understand how Python plays a role in the innovative solutions that NASA creates."

featured in #205


Building A Recommendation Engine Inside Postgres With Python And Pandas

- Craig Kerstiens tl;dr: Craig guides us through his experimental recommendation engine - with "SciPy, NumPy and Pandas there is a lot of interesting potential here."

featured in #200