EdgeAI for Beginners
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.
https://github.com/microsoft/edgeai-for-beginners
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.
https://github.com/microsoft/edgeai-for-beginners
GitHub
GitHub - microsoft/edgeai-for-beginners: This course is designed to guide beginners through the exciting world of Edge AI, covering…
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimizati...
Autoswagger
A command-line tool designed to discover, parse, and test for unauthenticated endpoints using Swagger/OpenAPI documentation. It helps identify potential security issues in unprotected endpoints of APIs, such as PII leaks and common secret exposures.
https://github.com/intruder-io/autoswagger
A command-line tool designed to discover, parse, and test for unauthenticated endpoints using Swagger/OpenAPI documentation. It helps identify potential security issues in unprotected endpoints of APIs, such as PII leaks and common secret exposures.
https://github.com/intruder-io/autoswagger
GitHub
GitHub - intruder-io/autoswagger: Autoswagger by Intruder - detect API auth weaknesses
Autoswagger by Intruder - detect API auth weaknesses - intruder-io/autoswagger
What’s new in Python 3.15
This article explains the new features in Python 3.15, compared to 3.14.
https://docs.python.org/3.15/whatsnew/3.15.html
This article explains the new features in Python 3.15, compared to 3.14.
https://docs.python.org/3.15/whatsnew/3.15.html
Python documentation
What’s new in Python 3.15
Editor, Hugo van Kemenade,. This article explains the new features in Python 3.15, compared to 3.14. For full details, see the changelog. Summary – Release highlights: PEP 799: A dedicated profilin...
remoclip
A CLI tool for accessing your local clipboard from remote systems.
https://remoclip.newmatter.net
A CLI tool for accessing your local clipboard from remote systems.
https://remoclip.newmatter.net
Using Async Functions in Celery with Django Connection Pooling
The blog post explains how Celery, which currently does not support native async functions, can still integrate asynchronous Python code by using the asynctosync utility from asgiref to run async functions synchronously within Celery tasks. It also discusses alternative approaches, such as using a dedicated event loop to run async code inside Celery tasks, and mentions that full async ...
https://mrdonbrown.blogspot.com/2025/10/using-async-functions-in-celery-with.html
The blog post explains how Celery, which currently does not support native async functions, can still integrate asynchronous Python code by using the asynctosync utility from asgiref to run async functions synchronously within Celery tasks. It also discusses alternative approaches, such as using a dedicated event loop to run async code inside Celery tasks, and mentions that full async ...
https://mrdonbrown.blogspot.com/2025/10/using-async-functions-in-celery-with.html
Blogspot
Using Async Functions in Celery with Django Connection Pooling
We have a Django application and wanted to start writing async code. Thanks to recent Django versions, you can, but if you also use Celery, ...
ChatGPT Apps SDK: Your first MCP Server with Python, FastMCP, & FastAPI
The talk explains how to build an MCP server that integrates with ChatGPT using FastMCP and FastAPI. It covers setting up the Python environment, creating and running MCP tools (like a simple add function), and connecting the MCP server to ChatGPT through a public tunnel to enable ChatGPT to call custom functions, enhancing its capabilities with personalized context and tools.
https://www.youtube.com/watch?v=YAxA-7ZSn-0
The talk explains how to build an MCP server that integrates with ChatGPT using FastMCP and FastAPI. It covers setting up the Python environment, creating and running MCP tools (like a simple add function), and connecting the MCP server to ChatGPT through a public tunnel to enable ChatGPT to call custom functions, enhancing its capabilities with personalized context and tools.
https://www.youtube.com/watch?v=YAxA-7ZSn-0
YouTube
ChatGPT Apps SDK: Your first MCP Server with Python, FastMCP, & FastAPI
Want to go deeper? Fill out this survey: https://tally.cfe.sh/chatgpt-apps
Tunnels for live domains & https: https://youtu.be/Xv_d4Ta1mDE
Code: https://github.com/codingforentrepreneurs/chatgpt-apps-sdk-hello-world
Chapters:
00:00:00 Welcome
00:03:36 Developer…
Tunnels for live domains & https: https://youtu.be/Xv_d4Ta1mDE
Code: https://github.com/codingforentrepreneurs/chatgpt-apps-sdk-hello-world
Chapters:
00:00:00 Welcome
00:03:36 Developer…
Advice on logging libraries: Logfire, Loguru, or just Python's built-in logging?
https://www.reddit.com/r/Python/comments/1o4uyrv/advice_on_logging_libraries_logfire_loguru_or/
https://www.reddit.com/r/Python/comments/1o4uyrv/advice_on_logging_libraries_logfire_loguru_or/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
Why it took 4 years to get a lock files specification
The lock file specification for Python, finalized in PEP 751, took more than four years to complete because of the complexity of capturing dependencies across platforms and configurations while maintaining security, readability, and compatibility with different tools. The process required balancing diverse ecosystem needs, resolving dependency graphs, and achieving consensus among major ...
https://snarky.ca/why-it-took-4-years-to-get-a-lock-files-specification/
The lock file specification for Python, finalized in PEP 751, took more than four years to complete because of the complexity of capturing dependencies across platforms and configurations while maintaining security, readability, and compatibility with different tools. The process required balancing diverse ecosystem needs, resolving dependency graphs, and achieving consensus among major ...
https://snarky.ca/why-it-took-4-years-to-get-a-lock-files-specification/
Tall, Snarky Canadian
Why it took 4 years to get a lock files specification
(This is the blog post version of my keynote from EuroPython 2025 in Prague, Czechia.)
We now have a lock file format specification. That might not sound like a big deal, but for me it took 4 years of active work to get us that specification. Part education…
We now have a lock file format specification. That might not sound like a big deal, but for me it took 4 years of active work to get us that specification. Part education…
google-agentic-commerce / AP2
Building a Secure and Interoperable Future for AI-Driven Payments.
https://github.com/google-agentic-commerce/AP2
Building a Secure and Interoperable Future for AI-Driven Payments.
https://github.com/google-agentic-commerce/AP2
GitHub
GitHub - google-agentic-commerce/AP2: Building a Secure and Interoperable Future for AI-Driven Payments.
Building a Secure and Interoperable Future for AI-Driven Payments. - google-agentic-commerce/AP2
Practical MCP with FastMCP & Python Tutorial – IO, HTTP Streams, APIs, and Testing
The video teaches how to build MCP servers using the FastMCP Python library. It covers MCP basics, building calculator apps with different communication protocols, integrating APIs for dynamic content, testing with GitHub Copilot, and deploying MCP servers on FastMCP Cloud for a complete development workflow.
https://www.youtube.com/watch?v=DosHnyq78xY
The video teaches how to build MCP servers using the FastMCP Python library. It covers MCP basics, building calculator apps with different communication protocols, integrating APIs for dynamic content, testing with GitHub Copilot, and deploying MCP servers on FastMCP Cloud for a complete development workflow.
https://www.youtube.com/watch?v=DosHnyq78xY
YouTube
Intro to MCP Servers – Model Context Protocol with Python Course
Learn to build Model-Context Protocol (MCP) servers with the open source FastMCP Python library.
MCP is the standard that lets AI agents, like GitHub Copilot and Gemini, securely interact with your databases, functions, and apps.
You'll learn what MCP…
MCP is the standard that lets AI agents, like GitHub Copilot and Gemini, securely interact with your databases, functions, and apps.
You'll learn what MCP…