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: Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate…
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows). - trycua/cua
👍1
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
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/...
❤1
Pip 25.1 is here - install dependency groups and output lock files!
https://www.reddit.com/r/Python/comments/1k8lav8/pip_251_is_here_install_dependency_groups_and/
https://www.reddit.com/r/Python/comments/1k8lav8/pip_251_is_here_install_dependency_groups_and/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
10 Rules for Writing Simple and Maintainable Code
This shows you 10 essential tips to keep your code simple, maintainable, and easy to work with.
https://www.youtube.com/watch?v=0U-RwnWaFIM
This shows you 10 essential tips to keep your code simple, maintainable, and easy to work with.
https://www.youtube.com/watch?v=0U-RwnWaFIM
YouTube
10 Tips to Keep Your Software Simple
👉 Take your productivity to the next level and keep your team organized - try monday.com for free today: https://bit.ly/424BbYW.
In this video, I’ll show you 10 essential tips to keep your code simple, maintainable, and easy to work with.
🔥 GitHub Repository:…
In this video, I’ll show you 10 essential tips to keep your code simple, maintainable, and easy to work with.
🔥 GitHub Repository:…
How To Automate Your Finances with Python
Learn to build a Python tool using Pandas, Streamlit, and Plotly to automate personal finance tracking by analyzing bank statements, categorizing transactions, and generating visual dashboards. The tutorial includes file upload handling, editable dataframes, and interactive charts for expense analysis.
https://www.youtube.com/watch?v=wqBlmAWqa6A
Learn to build a Python tool using Pandas, Streamlit, and Plotly to automate personal finance tracking by analyzing bank statements, categorizing transactions, and generating visual dashboards. The tutorial includes file upload handling, editable dataframes, and interactive charts for expense analysis.
https://www.youtube.com/watch?v=wqBlmAWqa6A
YouTube
How To Automate Your Finances with Python - Full Tutorial (Pandas, Streamlit, Plotly & More)
Get started with DataCamp and their Finance with Python track today! https://datacamp.pxf.io/RGZMVb
In this video, I'll show you how to build a personal finance automation tool in Python. We'll use modules like Pandas, Plotly, & Streamlit. Let me give a…
In this video, I'll show you how to build a personal finance automation tool in Python. We'll use modules like Pandas, Plotly, & Streamlit. Let me give a…
Frankenstein’s
The untold story of the craziestinitI’ve ever seen.
https://ohadravid.github.io/posts/2025-04-19-frank/
The untold story of the craziestinitI’ve ever seen.
https://ohadravid.github.io/posts/2025-04-19-frank/
ohadravid.github.io
Frankenstein’s `__init__`
The untold story of the craziest __init__ I’ve ever seen.
Morphik
Open source multi-modal RAG for building AI apps over private knowledge.
https://github.com/morphik-org/morphik-core
Open source multi-modal RAG for building AI apps over private knowledge.
https://github.com/morphik-org/morphik-core
GitHub
GitHub - morphik-org/morphik-core: The most accurate document search and store for building AI apps
The most accurate document search and store for building AI apps - morphik-org/morphik-core
CPython's optimization for doubly linked lists in deque (amortizes 200% link memory overhead)
https://www.reddit.com/r/Python/comments/1k5nxvt/cpythons_optimization_for_doubly_linked_lists_in/
https://www.reddit.com/r/Python/comments/1k5nxvt/cpythons_optimization_for_doubly_linked_lists_in/
Reddit
From the Python community on Reddit: CPython's optimization for doubly linked lists in deque (amortizes 200% link memory overhead)
Explore this post and more from the Python community