14 Advanced Python Features
This post highlights 14 advanced Python features that go beyond basic syntax, focusing on concepts like metaprogramming, decorators, and optimization techniques. The article targets intermediate-to-advanced developers seeking to deepen their understanding of Python's powerful but less commonly used capabilities.
https://blog.edward-li.com/tech/advanced-python-features/
This post highlights 14 advanced Python features that go beyond basic syntax, focusing on concepts like metaprogramming, decorators, and optimization techniques. The article targets intermediate-to-advanced developers seeking to deepen their understanding of Python's powerful but less commonly used capabilities.
https://blog.edward-li.com/tech/advanced-python-features/
Edward Li's Blog
14 Advanced Python Features
A collection of advanced Python features that I've found interesting, underrated, or unique - as someone who's seen a lot of Python code.
mcp-use
mcp-use is the easiest way to interact with mcp servers with custom agents.
https://github.com/mcp-use/mcp-use
mcp-use is the easiest way to interact with mcp servers with custom agents.
https://github.com/mcp-use/mcp-use
GitHub
GitHub - mcp-use/mcp-use: mcp-use is the easiest way to interact with mcp servers with custom agents
mcp-use is the easiest way to interact with mcp servers with custom agents - mcp-use/mcp-use
DeepMath
A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.
https://github.com/zwhe99/DeepMath
A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.
https://github.com/zwhe99/DeepMath
GitHub
GitHub - zwhe99/DeepMath: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning - zwhe99/DeepMath
GlyphX
A Better, Faster, and Simpler Python Visualization Library.
https://github.com/kjkoeller/glyphx
A Better, Faster, and Simpler Python Visualization Library.
https://github.com/kjkoeller/glyphx
GitHub
GitHub - kjkoeller/glyphx: A next-gen Python plotting library with SVG-first rendering, interactivity, themes, and clean defaults…
A next-gen Python plotting library with SVG-first rendering, interactivity, themes, and clean defaults — better than matplotlib.pyplot - kjkoeller/glyphx
Django Admin Theme Roundup 2025
This post highlights customizable UI packages like Dracula, Django Daisy, and Unfold, offering dark modes, Bootstrap/TailwindCSS integrations, and enhanced features. These themes modernize the admin interface while maintaining Django's rapid prototyping core, with options ranging from simple CSS overrides to full modular dashboards.
https://www.djangoproject.com/weblog/2025/apr/18/admin-theme-roundup/
This post highlights customizable UI packages like Dracula, Django Daisy, and Unfold, offering dark modes, Bootstrap/TailwindCSS integrations, and enhanced features. These themes modernize the admin interface while maintaining Django's rapid prototyping core, with options ranging from simple CSS overrides to full modular dashboards.
https://www.djangoproject.com/weblog/2025/apr/18/admin-theme-roundup/
Django Project
Django Admin Theme Roundup 2025
Posted by Adam Hill on April 18, 2025
Beyond-NanoGPT
Minimal and annotated implementations of key ideas from modern deep learning research.
https://github.com/tanishqkumar/beyond-nanogpt
Minimal and annotated implementations of key ideas from modern deep learning research.
https://github.com/tanishqkumar/beyond-nanogpt
GitHub
GitHub - tanishqkumar/beyond-nanogpt: Minimal and annotated implementations of key ideas from modern deep learning research.
Minimal and annotated implementations of key ideas from modern deep learning research. - GitHub - tanishqkumar/beyond-nanogpt: Minimal and annotated implementations of key ideas from modern deep l...
ProcessThreadPoolExecutor: when I/O becomes CPU-bound
The article introduces a custom ProcessThreadPoolExecutor in Python, designed to efficiently handle workloads that are primarily I/O-bound but include CPU-intensive tasks, by combining threading and multiprocessing. This hybrid approach addresses limitations of ThreadPoolExecutor and ProcessPoolExecutor when used separately, offering improved performance and resource utilization.
https://death.andgravity.com/ptpe
The article introduces a custom ProcessThreadPoolExecutor in Python, designed to efficiently handle workloads that are primarily I/O-bound but include CPU-intensive tasks, by combining threading and multiprocessing. This hybrid approach addresses limitations of ThreadPoolExecutor and ProcessPoolExecutor when used separately, offering improved performance and resource utilization.
https://death.andgravity.com/ptpe
death and gravity
ProcessThreadPoolExecutor: when I/O becomes CPU-bound
...in which we build a hybrid concurrent.futures executor that runs I/O bound tasks on all available CPUs, thus evading the limitations imposed by the dreaded global interpreter lock on the humble ThreadPoolExecutor.
A practical guide to building agents
This guide is designed for product and engineering teams exploring how to build their first agents, distilling insights from numerous customer deployments into practical and actionable best practices. It includes frameworks for identifying promising use cases, clear patterns for designing agent logic and orchestration, and best practices to ensure your agents run safely, predictably, and...
https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf
This guide is designed for product and engineering teams exploring how to build their first agents, distilling insights from numerous customer deployments into practical and actionable best practices. It includes frameworks for identifying promising use cases, clear patterns for designing agent logic and orchestration, and best practices to ensure your agents run safely, predictably, and...
https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf
Stop Writing
Avoid writing custominitmethods in Python; use @dataclass for attribute definition and @classmethod factories for object creation. This approach ensures valid instances, simplifies testing, and supports async/error-prone operations, while maintaining type safety with NewType
https://blog.glyph.im/2025/04/stop-writing-init-methods.html
Avoid writing custominitmethods in Python; use @dataclass for attribute definition and @classmethod factories for object creation. This approach ensures valid instances, simplifies testing, and supports async/error-prone operations, while maintaining type safety with NewType
https://blog.glyph.im/2025/04/stop-writing-init-methods.html
blog.glyph.im
Stop Writing `__init__` Methods
YEARS OF DATACLASSES yet NO REAL-WORLD USE FOUND for overriding special methods just so you can have some attributes.
Tutorial-Codebase-Knowledge
Turns Codebase into Easy Tutorial with AI.
https://github.com/The-Pocket/Tutorial-Codebase-Knowledge
Turns Codebase into Easy Tutorial with AI.
https://github.com/The-Pocket/Tutorial-Codebase-Knowledge
GitHub
GitHub - The-Pocket/PocketFlow-Tutorial-Codebase-Knowledge: Pocket Flow: Codebase to Tutorial
Pocket Flow: Codebase to Tutorial. Contribute to The-Pocket/PocketFlow-Tutorial-Codebase-Knowledge development by creating an account on GitHub.
How to Add Blazing Fast Search to Your Django Site with Meilisearch
Step-by-step guide to integrating Meilisearch with Django, complete with automatic indexing, typo tolerance, and relevant filtering capabilities.
https://www.revsys.com/tidbits/how-to-add-blazing-fast-search-to-your-django-site-with-meilisearch/
Step-by-step guide to integrating Meilisearch with Django, complete with automatic indexing, typo tolerance, and relevant filtering capabilities.
https://www.revsys.com/tidbits/how-to-add-blazing-fast-search-to-your-django-site-with-meilisearch/
REVSYS
How to Add Blazing Fast Search to Your Django Site with Meilisearch
Step-by-step guide to integrating Meilisearch with Django, complete with automatic indexing, typo tolerance, and relevant filtering capabilities.
library-mcp
MCP server for operating on Markdown knowledge bases.
https://github.com/lethain/library-mcp
MCP server for operating on Markdown knowledge bases.
https://github.com/lethain/library-mcp
GitHub
GitHub - lethain/library-mcp: MCP server for operating on Markdown knowledge bases
MCP server for operating on Markdown knowledge bases - lethain/library-mcp
cua
A framework that enables AI agents to control full operating systems within high-performance, lightweight virtual containers. It delivers up to 97% native speed on Apple Silicon and works with any vision language models.
https://github.com/trycua/cua
A framework that enables AI agents to control full operating systems within high-performance, lightweight virtual containers. It delivers up to 97% native speed on Apple Silicon and works with any vision language models.
https://github.com/trycua/cua
GitHub
GitHub - trycua/cua: c/ua is the Docker Container for Computer-Use AI Agents.
c/ua is the Docker Container for Computer-Use AI Agents. - trycua/cua
I Built a Bot to Chat with Our Team’s Wiki Using Azure OpenAI Service
The author built an AI-powered Teams bot using Azure OpenAI Service to query their team's dynamic Azure DevOps Wiki, automating data ingestion via Python scripts and Azure AI Search Indexers. The solution includes custom metadata integration for source linking and highlights challenges like SDK limitations and deployment security considerations.
https://medium.com/microsoftazure/i-built-a-bot-to-chat-with-our-teams-wiki-using-azure-openai-service-96bf67878302
The author built an AI-powered Teams bot using Azure OpenAI Service to query their team's dynamic Azure DevOps Wiki, automating data ingestion via Python scripts and Azure AI Search Indexers. The solution includes custom metadata integration for source linking and highlights challenges like SDK limitations and deployment security considerations.
https://medium.com/microsoftazure/i-built-a-bot-to-chat-with-our-teams-wiki-using-azure-openai-service-96bf67878302
Medium
I Built a Bot to Chat with Our Team’s Wiki Using Azure OpenAI Service
What if you could just ASK the Wiki?
1,000 Python Exercises
Android app with more than 1,000 problems to solve and practice
https://play.google.com/store/apps/details?id=com.initzer_dev.Koder_Python_Exercises
Android app with more than 1,000 problems to solve and practice
https://play.google.com/store/apps/details?id=com.initzer_dev.Koder_Python_Exercises
Google Play
Koder - 1000 Python Exercises - Apps on Google Play
Master Python with 1000+ hands-on exercises and instant feedback!
Agentfy
Agentfy is a modular microservices architecture designed to process user requests and execute workflows across multiple social media platforms.
https://github.com/Agentfy-io/Agentfy
Agentfy is a modular microservices architecture designed to process user requests and execute workflows across multiple social media platforms.
https://github.com/Agentfy-io/Agentfy
GitHub
GitHub - Agentfy-io/Agentfy: 🤖 Agentfy is a modular microservices architecture designed to process user requests and execute workflows…
🤖 Agentfy is a modular microservices architecture designed to process user requests and execute workflows across multiple social media platforms. ASK ONCE, LET THE AGENT DO THE REST! - Agentfy-io/...