What’s a low memory way to run a Python http endpoint?
https://www.reddit.com/r/Python/comments/1slbp28/whats_a_low_memory_way_to_run_a_python_http/
https://www.reddit.com/r/Python/comments/1slbp28/whats_a_low_memory_way_to_run_a_python_http/
Reddit
From the Python community on Reddit
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Alishahryar1 / free-claude-code
Use claude-code for free in the terminal, VSCode extension or via discord like openclaw
https://github.com/Alishahryar1/free-claude-code
Use claude-code for free in the terminal, VSCode extension or via discord like openclaw
https://github.com/Alishahryar1/free-claude-code
GitHub
GitHub - Alishahryar1/free-claude-code: Use claude-code for free in the terminal, VSCode extension or discord like OpenClaw (voice…
Use claude-code for free in the terminal, VSCode extension or discord like OpenClaw (voice supported) - Alishahryar1/free-claude-code
ai-engineering-from-scratch
From linear algebra to autonomous agent swarms. learn AI with AI, then ship the tools.
https://github.com/rohitg00/ai-engineering-from-scratch
From linear algebra to autonomous agent swarms. learn AI with AI, then ship the tools.
https://github.com/rohitg00/ai-engineering-from-scratch
GitHub
GitHub - rohitg00/ai-engineering-from-scratch: Learn it. Build it. Ship it for others.
Learn it. Build it. Ship it for others. Contribute to rohitg00/ai-engineering-from-scratch development by creating an account on GitHub.
Exploring Petabytes of the Night Sky — Jupyter Notebooks at NOIRLab’s Astro Data Lab Science Platform
The post shows how NOIRLab’s Astro Data Lab uses Jupyter notebooks to let astronomers explore and analyze petabytes of sky data directly in the browser, without local setup. It also highlights the value of notebooks for making large-scale astronomy workflows more interactive, reproducible, and accessible to researchers and students.
https://blog.jupyter.org/exploring-petabytes-of-the-night-sky-jupyter-notebooks-at-noirlabs-astro-data-lab-science-ae012dfd4723
The post shows how NOIRLab’s Astro Data Lab uses Jupyter notebooks to let astronomers explore and analyze petabytes of sky data directly in the browser, without local setup. It also highlights the value of notebooks for making large-scale astronomy workflows more interactive, reproducible, and accessible to researchers and students.
https://blog.jupyter.org/exploring-petabytes-of-the-night-sky-jupyter-notebooks-at-noirlabs-astro-data-lab-science-ae012dfd4723
Medium
Exploring Petabytes of the Night Sky — Jupyter Notebooks at NOIRLab’s Astro Data Lab Science Platform
By Robert Nikutta & Stéphanie Juneau (NSF NOIRLab)
Building a Python Library in 2026
So you want to build a Python library in 2026? Here's everything you need to know about the state of the art.
https://stephenlf.dev/blog/python-library-in-2026/
So you want to build a Python library in 2026? Here's everything you need to know about the state of the art.
https://stephenlf.dev/blog/python-library-in-2026/
stephenlf.dev
Building a Python Library in 2026
So you want to build a Python library in 2026? Here's everything you need to know about the state of the art.
Broccoli
AI teammates for your engineering loop. Broccoli turns Linear tickets into shipped PRs - powered by Claude and Codex, running on your own Google Cloud.
https://github.com/besimple-oss/broccoli
AI teammates for your engineering loop. Broccoli turns Linear tickets into shipped PRs - powered by Claude and Codex, running on your own Google Cloud.
https://github.com/besimple-oss/broccoli
GitHub
GitHub - besimple-oss/broccoli: Broccoli turns Linear tickets into shipped PRs — powered by Claude and Codex, running on your own…
Broccoli turns Linear tickets into shipped PRs — powered by Claude and Codex, running on your own Google Cloud. - besimple-oss/broccoli
tilelang
Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels.
https://github.com/tile-ai/tilelang
Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels.
https://github.com/tile-ai/tilelang
GitHub
GitHub - tile-ai/tilelang: Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators…
Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels - tile-ai/tilelang
How I built a sub-500ms latency voice agent from scratch
The post walks through building a sub-500ms voice agent from scratch, with the main challenge being turn-taking: knowing exactly when the user is speaking versus listening so the agent can stop or respond instantly. It shows how the author simplified the system into a small streaming loop, then optimized latency with better model choice, geography, and a direct audio pipeline to make the...
https://www.ntik.me/posts/voice-agent
The post walks through building a sub-500ms voice agent from scratch, with the main challenge being turn-taking: knowing exactly when the user is speaking versus listening so the agent can stop or respond instantly. It shows how the author simplified the system into a small streaming loop, then optimized latency with better model choice, geography, and a direct audio pipeline to make the...
https://www.ntik.me/posts/voice-agent
www.ntik.me
How I built a sub-500ms latency voice agent from scratch | Nick Tikhonov
Nick Tikhonov's blog
Streamlit Widgets
An Overview of Commonly Used Widgets in Streamlit.
https://www.pythonguis.com/tutorials/streamlit-widgets/
An Overview of Commonly Used Widgets in Streamlit.
https://www.pythonguis.com/tutorials/streamlit-widgets/
Python GUIs
Streamlit Widgets: Build your apps using common UI components
Build Streamlit data science apps with Python. Build UIs in your web browser using Streamlit's library of common widgets.
Building AI Agents in Python with Pydantic AI
In this article, you will learn how to build production-ready AI agents in Python using Pydantic AI, with structured outputs, custom tools, and dependency injection.
https://machinelearningmastery.com/building-ai-agents-in-python-with-pydantic-ai/
In this article, you will learn how to build production-ready AI agents in Python using Pydantic AI, with structured outputs, custom tools, and dependency injection.
https://machinelearningmastery.com/building-ai-agents-in-python-with-pydantic-ai/
HTTP GET requests with the Python standard library
Alex explains how he replaced third-party HTTP clients for his simple scripts with a tiny wrapper around Python’s standard library, keeping only certifi for trust roots. The post walks through building a cleaner GET API on top of urllib.request, showing that for small local use cases the stdlib is enough even if the raw interface is clunky.
https://alexwlchan.net/2026/python-http-with-the-stdlib/
Alex explains how he replaced third-party HTTP clients for his simple scripts with a tiny wrapper around Python’s standard library, keeping only certifi for trust roots. The post walks through building a cleaner GET API on top of urllib.request, showing that for small local use cases the stdlib is enough even if the raw interface is clunky.
https://alexwlchan.net/2026/python-http-with-the-stdlib/
alexwlchan.net
HTTP GET requests with the Python standard library
For my local scripting, a lightweight wrapper around the Python standard library gets me a friendly API without the dependencies.
warproxxx / poly_data
Polymarket Data Retriever that fetches, processes, and structures Polymarket data including markets, order events and trades.
https://github.com/warproxxx/poly_data
Polymarket Data Retriever that fetches, processes, and structures Polymarket data including markets, order events and trades.
https://github.com/warproxxx/poly_data
GitHub
GitHub - warproxxx/poly_data: Polymarket Data Retriever that fetches, processes, and structures Polymarket data including markets…
Polymarket Data Retriever that fetches, processes, and structures Polymarket data including markets, order events and trades. - warproxxx/poly_data
pyptx
A Python DSL to write Nvidia PTX for Hopper and Blackwell in JAX and PyTorch.
https://github.com/patrick-toulme/pyptx
A Python DSL to write Nvidia PTX for Hopper and Blackwell in JAX and PyTorch.
https://github.com/patrick-toulme/pyptx
GitHub
GitHub - patrick-toulme/pyptx: A Python DSL to write Nvidia PTX for Hopper and Blackwell in JAX and PyTorch
A Python DSL to write Nvidia PTX for Hopper and Blackwell in JAX and PyTorch - patrick-toulme/pyptx
Learn concurrency - a deep dive into multithreading with Python
This article explains concurrency in Python including topics like multithreading, multiprocessing, race conditions, and synchronization mechanisms such as locks. We’ll then take a deep dive into switching off GIL to enable real multithreading in Python, highlighting the differences, the benefits and the gotchas with clear code examples.
https://blog.geekuni.com/2026/04/python-concurrency.html
This article explains concurrency in Python including topics like multithreading, multiprocessing, race conditions, and synchronization mechanisms such as locks. We’ll then take a deep dive into switching off GIL to enable real multithreading in Python, highlighting the differences, the benefits and the gotchas with clear code examples.
https://blog.geekuni.com/2026/04/python-concurrency.html
Geekuni
Learn concurrency - a deep dive into multithreading with Python
microsoft / agent-governance-toolkit
AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.
https://github.com/microsoft/agent-governance-toolkit
AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.
https://github.com/microsoft/agent-governance-toolkit
GitHub
GitHub - microsoft/agent-governance-toolkit: AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing…
AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10. - microsoft/age...
A Practical Guide to Agentic Coding
Agentic coding tools like GitHub Copilot can significantly boost developer productivity when integrated thoughtfully into workflows across IDEs, terminals, and cloud environments. The key is balancing automation with control, ensuring code quality while leveraging AI to build richer workflows, including integrations with external data sources like M365.
https://www.youtube.com/watch?v=QrfsX-sW6QI
Agentic coding tools like GitHub Copilot can significantly boost developer productivity when integrated thoughtfully into workflows across IDEs, terminals, and cloud environments. The key is balancing automation with control, ensuring code quality while leveraging AI to build richer workflows, including integrations with external data sources like M365.
https://www.youtube.com/watch?v=QrfsX-sW6QI
YouTube
A Practical Guide to Agentic Coding
This is a recording from _Python Unplugged on PyTV_ – a free online Python conference by JetBrains PyCharm.
Watch the talk by Marlene Mhangami, Senior Developer Advocate at Microsoft, on using AI agents to write better code.
🎤 Talk description: _A Practical…
Watch the talk by Marlene Mhangami, Senior Developer Advocate at Microsoft, on using AI agents to write better code.
🎤 Talk description: _A Practical…
Don’t Use Boolean Flags in Python, Use Policies Instead
The Policy Pattern replaces large conditional blocks by breaking rules into small, composable components that can be combined into flexible pipelines. This approach makes code easier to extend, test, and manage, especially when dealing with feature flags and configuration changes.
https://www.youtube.com/watch?v=wYeDGkdMi3g
The Policy Pattern replaces large conditional blocks by breaking rules into small, composable components that can be combined into flexible pipelines. This approach makes code easier to extend, test, and manage, especially when dealing with feature flags and configuration changes.
https://www.youtube.com/watch?v=wYeDGkdMi3g
YouTube
Don’t Use Boolean Flags in Python, Use Policies Instead
🧱 Build software that lasts. Join the Software Design Mastery waiting list → https://arjan.codes/mastery.
In this video, I show how to replace growing conditional logic with the Policy Pattern. Instead of one big function, you split rules into small, composable…
In this video, I show how to replace growing conditional logic with the Policy Pattern. Instead of one big function, you split rules into small, composable…
google-deepmind / gemma
Gemma open-weight LLM library, from Google DeepMind
https://github.com/google-deepmind/gemma
Gemma open-weight LLM library, from Google DeepMind
https://github.com/google-deepmind/gemma
GitHub
GitHub - google-deepmind/gemma: Gemma open-weight LLM library, from Google DeepMind
Gemma open-weight LLM library, from Google DeepMind - google-deepmind/gemma
What's new in pip 26.1
pip 26.1 adds support for dependency cooldowns, experimental support for reading/installing from standard lockfiles (pylock.toml), fixes several long-standing limitations of the 2020 resolver, and drops support for Python 3.9.
https://ichard26.github.io/blog/2026/04/whats-new-in-pip-26.1/
pip 26.1 adds support for dependency cooldowns, experimental support for reading/installing from standard lockfiles (pylock.toml), fixes several long-standing limitations of the 2020 resolver, and drops support for Python 3.9.
https://ichard26.github.io/blog/2026/04/whats-new-in-pip-26.1/
Richard Si
What's new in pip 26.1 - lockfiles and dependency cooldowns!
pip 26.1 adds support for dependency cooldowns, experimental support for reading/installing from standard lockfiles (pylock.toml), fixes several long-standing limitations of the 2020 resolver, and drops support for Python 3.9.