memvid
Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.
https://github.com/Olow304/memvid
Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.
https://github.com/Olow304/memvid
GitHub
GitHub - Olow304/memvid: Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic…
Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed. - Olow304/memvid
DuckDB vs Polars. Wait. DuckDB and Polars.
The article emphasizes that DuckDB and Polars are not direct competitors but complementary tools in the Modern Data Stack, with each excelling in different contexts: DuckDB is best for SQL-heavy analytics and embedding as a query engine, while Polars suits end-to-end ETL pipelines and DataFrame-centric workflows. The choice depends on your problem context, team comfort, and use case rath...
https://www.confessionsofadataguy.com/duckdb-vs-polars-wait-duckdb-and-polars/
The article emphasizes that DuckDB and Polars are not direct competitors but complementary tools in the Modern Data Stack, with each excelling in different contexts: DuckDB is best for SQL-heavy analytics and embedding as a query engine, while Polars suits end-to-end ETL pipelines and DataFrame-centric workflows. The choice depends on your problem context, team comfort, and use case rath...
https://www.confessionsofadataguy.com/duckdb-vs-polars-wait-duckdb-and-polars/
Confessions of a Data Guy
DuckDB vs Polars. Wait. DuckDB and Polars. - Confessions of a Data Guy
So, the classic newbie question. DuckDB vs Polars, which one should you pick? This is an interesting question, and actually drives a lot of search traffic to this website on which you find yourself wasting time. I thank you for that. This is probably the…
PyOCI – Publish and install private Python packages using OCI/Docker registries
https://github.com/AllexVeldman/pyoci
https://github.com/AllexVeldman/pyoci
GitHub
GitHub - AllexVeldman/pyoci: Publish and install private python packages using OCI/docker registries.
Publish and install private python packages using OCI/docker registries. - AllexVeldman/pyoci
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search_evals
Batteries-included eval framework for search APIs.
https://github.com/perplexityai/search_evals
Batteries-included eval framework for search APIs.
https://github.com/perplexityai/search_evals
GitHub
GitHub - perplexityai/search_evals: Batteries-included eval framework for search APIs
Batteries-included eval framework for search APIs. Contribute to perplexityai/search_evals development by creating an account on GitHub.
Simplifying Resource Management in mssql-python through Context Manager
The article introduces context manager support in the mssql-python driver, allowing Python applications to manage SQL Server and Azure SQL resources more safely and efficiently using Python's "with" statement. This feature automates opening and closing of connections and cursors, as well as commit and rollback of transactions, reducing boilerplate code, preventing resource leaks, and ens...
https://devblogs.microsoft.com/python/simplifying-resource-management-in-mssql-python-through-context-manager/
The article introduces context manager support in the mssql-python driver, allowing Python applications to manage SQL Server and Azure SQL resources more safely and efficiently using Python's "with" statement. This feature automates opening and closing of connections and cursors, as well as commit and rollback of transactions, reducing boilerplate code, preventing resource leaks, and ens...
https://devblogs.microsoft.com/python/simplifying-resource-management-in-mssql-python-through-context-manager/
Microsoft News
Simplifying Resource Management in mssql-python through Context Manager
Uncover the advantages of using the python driver for sql server in your projects, ensuring clean and efficient database access.
Why Is Python So Popular in 2025? – The PyCharm Blog
https://blog.jetbrains.com/pycharm/2025/09/why-is-python-so-popular/
https://blog.jetbrains.com/pycharm/2025/09/why-is-python-so-popular/
The JetBrains Blog
Why Is Python So Popular in 2025? | The PyCharm Blog
From powering AI and data science to driving web development and automation, Python continues to dominate in 2025. Discover why in our blog post.
bytedance / Dolphin
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
https://github.com/bytedance/Dolphin
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
https://github.com/bytedance/Dolphin
GitHub
GitHub - bytedance/Dolphin: The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025. - bytedance/Dolphin
I built a full programming language interpreter in Python based on a meme
https://www.reddit.com/r/Python/comments/1nmta0f/i_built_a_full_programming_language_interpreter/
https://www.reddit.com/r/Python/comments/1nmta0f/i_built_a_full_programming_language_interpreter/
Reddit
From the Python community on Reddit: I built a full programming language interpreter in Python based on a meme
Explore this post and more from the Python community
Effective context engineering for AI agents
Context is a critical but finite resource for AI agents. In this post, we explore strategies for effectively curating and managing the context that powers them.
https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents
Context is a critical but finite resource for AI agents. In this post, we explore strategies for effectively curating and managing the context that powers them.
https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents
Anthropic
Effective context engineering for AI agents
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Building an AI agent from scratch in Python
How to implement a single AI agent with an LLM API and no frameworks.
https://www.leoniemonigatti.com/blog/ai-agent-from-scratch-in-python.html
How to implement a single AI agent with an LLM API and no frameworks.
https://www.leoniemonigatti.com/blog/ai-agent-from-scratch-in-python.html
Leonie Monigatti
Building an AI agent from scratch in Python – Leonie Monigatti
Learn how to build an AI agent from scratch in Python using LLM API calls, function calling, and conversation memory.
I made PyPIPlus.com — a faster way to see all dependencies of any Python package
https://www.reddit.com/r/Python/comments/1ny6svl/i_made_pypipluscom_a_faster_way_to_see_all/
https://www.reddit.com/r/Python/comments/1ny6svl/i_made_pypipluscom_a_faster_way_to_see_all/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
I stopped using the Django shell because of marimo
The video explains how marimo, a modern Python notebook, enhances productivity in Django projects by integrating SQL support, coding agents, and interactivity beyond the traditional Django shell. It demonstrates using marimo for database connections, asynchronous Django ORM operations, custom admin interfaces, and reactive, interactive notebooks that combine SQL, Python, and UI elements ...
https://www.youtube.com/watch?v=ksGIAy2s_5k
The video explains how marimo, a modern Python notebook, enhances productivity in Django projects by integrating SQL support, coding agents, and interactivity beyond the traditional Django shell. It demonstrates using marimo for database connections, asynchronous Django ORM operations, custom admin interfaces, and reactive, interactive notebooks that combine SQL, Python, and UI elements ...
https://www.youtube.com/watch?v=ksGIAy2s_5k
YouTube
I stopped using the Django shell because of marimo
Django is a great webframework for Python. It has an ORM, authentication, an admin interface and a large ecosystem of plugins.
It also comes with a REPL that lets you interact with Django directly but ... while it is functional ... you are stuck in the…
It also comes with a REPL that lets you interact with Django directly but ... while it is functional ... you are stuck in the…
holm
Web development framework that brings the Next.js developer experience to Python, built on FastAPI, htmy, and FastHX.
https://github.com/volfpeter/holm
Web development framework that brings the Next.js developer experience to Python, built on FastAPI, htmy, and FastHX.
https://github.com/volfpeter/holm
GitHub
GitHub - volfpeter/holm: Web development framework that brings the Next.js developer experience to Python, built on FastAPI, htmy…
Web development framework that brings the Next.js developer experience to Python, built on FastAPI, htmy, and FastHX. - volfpeter/holm
SOLID: Writing Better Python Without Overengineering
The video explores applying the SOLID design principles to improve Python code quality by refactoring a messy sales report script into both a clean class-based and a lean functional version. It discusses the relevance of SOLID principles in Python, showing how they enhance code modularity, testability, and maintainability while highlighting when they might lead to overengineering.
https://www.youtube.com/watch?v=uxwjXLjJOoM
The video explores applying the SOLID design principles to improve Python code quality by refactoring a messy sales report script into both a clean class-based and a lean functional version. It discusses the relevance of SOLID principles in Python, showing how they enhance code modularity, testability, and maintainability while highlighting when they might lead to overengineering.
https://www.youtube.com/watch?v=uxwjXLjJOoM
YouTube
SOLID: Writing Better Python Without Overengineering
Check out https://www.squarespace.com/arjancodes to save 10% off your first purchase of a website or domain using code ARJANCODES.
Are the SOLID principles still relevant when you’re writing Python in 2025? In this video, we take a real-world problem and…
Are the SOLID principles still relevant when you’re writing Python in 2025? In this video, we take a real-world problem and…
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DeepFabric
Create large-scale synthetic training data for model distillation and evaluation.
https://github.com/lukehinds/deepfabric
Create large-scale synthetic training data for model distillation and evaluation.
https://github.com/lukehinds/deepfabric
GitHub
GitHub - lukehinds/deepfabric: Create large-scale synthetic training data for model distillation and evaluation
Create large-scale synthetic training data for model distillation and evaluation - lukehinds/deepfabric
EbookFoundation / free-programming-books
📚 Freely available programming books
https://github.com/EbookFoundation/free-programming-books
📚 Freely available programming books
https://github.com/EbookFoundation/free-programming-books
GitHub
GitHub - EbookFoundation/free-programming-books: :books: Freely available programming books
:books: Freely available programming books. Contribute to EbookFoundation/free-programming-books development by creating an account on GitHub.
❤1
StringWa.rs: Which Libs Make Python Strings 2-10× Faster?
https://www.reddit.com/r/Python/comments/1nocyn3/stringwars_which_libs_make_python_strings_210/
https://www.reddit.com/r/Python/comments/1nocyn3/stringwars_which_libs_make_python_strings_210/
Reddit
From the Python community on Reddit: StringWa.rs: Which Libs Make Python Strings 2-10× Faster?
Explore this post and more from the Python community
Logly
Logly is a Rust-powered, Loguru-like logging library for Python that combines the familiarity of Python’s standard logging API with high-performance logging capabilities.
https://github.com/muhammad-fiaz/logly
Logly is a Rust-powered, Loguru-like logging library for Python that combines the familiarity of Python’s standard logging API with high-performance logging capabilities.
https://github.com/muhammad-fiaz/logly
GitHub
GitHub - muhammad-fiaz/logly: Logly is a Rust-powered, Loguru-like logging library for Python that combines the familiarity of…
Logly is a Rust-powered, Loguru-like logging library for Python that combines the familiarity of Python’s standard logging API with high-performance logging capabilities. - muhammad-fiaz/logly