Собрали в одном месте самые важные ссылкии сделали Тренажер IT-инцидентов для DevOps/SRE
Learn how to manage shared code across projects using Git submodules. Prevent version drift, maintain reproducible workflows, and support team collaboration with practical examples.
A technical guide to how self-driving cars actually work. CAN bus protocols, neural networks, sensor fusion, and control system with open source implementations, most of which can be accessed through Python.
This second post in a series covers how to use unit testing to ensure the performance of your code. This post talks about catching differences in performance after code has changed.
Based on GitHub stars and PyPI download numbers.
If you’ve read the blog post How to Build Chatbots With LangChain, you may want to know more about LangChain. This blog post will dive deeper into what LangChain offers and guide you through a few more real-world use cases.
Learn 5 essential itertools methods to eliminate manual feature engineering waste. Replace nested loops with systematic functions for interactions, polynomial features, and categorical combinations.
Web scraping without selector maintenance. ScrapeGraphAI uses LLMs to extract data from any site using plain English prompts and Pydantic schemas.
How to control NULL value placement when sorting Django QuerySets using F() expressions.
There is commonality between text classifiers and compression and there are algorithms out there to do one with the other, but it requires an incremental compressor. Python 3.14 added zstd which supports this feature, allowing Max to take a stab at doing ML with a compressor.
A website and repo with 39 common antipatterns, listing them as well as suggested changes. Worth a look!
Indexing a QuerySet can return nondeterministic rows because slicing does not add ordering, unlike first, which orders by primary key.
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