Using uv and PEP 723 for Self-Contained Python Scripts
https://thisdavej.com/share-python-scripts-like-a-pro-uv-and-pep-723-for-easy-deployment/
https://thisdavej.com/share-python-scripts-like-a-pro-uv-and-pep-723-for-easy-deployment/
Thisdavej
Share Python Scripts Like a Pro: uv and PEP 723 for Easy Deployment
We all love Python’s comprehensive standard library, but let’s face it – PyPI’s wealth of packages often becomes essential. Sharing single-file, self-contained Python scripts that rely on these external tools can be a headache. Historically, we’ve relied…
Matlab's variable explorer is amazing. What's pythons closest?
https://www.reddit.com/r/Python/comments/1jb1gzp/matlabs_variable_explorer_is_amazing_whats/
https://www.reddit.com/r/Python/comments/1jb1gzp/matlabs_variable_explorer_is_amazing_whats/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
We hacked Gemini's Python sandbox and leaked its source code (at least some)
https://www.landh.tech/blog/20250327-we-hacked-gemini-source-code/
https://www.landh.tech/blog/20250327-we-hacked-gemini-source-code/
I Let Python Pick My March Madness Bracket - Bracket Simulation Tutorial
This tutorial guides viewers through creating a Python program that simulates the March Madness tournament, using team seeds to generate realistic probabilities and predict potential upsets. The program utilizes Python's dataclasses and the random module to build a tournament function that determines the champion.
https://www.youtube.com/watch?v=4TFQD0ok5Ao
This tutorial guides viewers through creating a Python program that simulates the March Madness tournament, using team seeds to generate realistic probabilities and predict potential upsets. The program utilizes Python's dataclasses and the random module to build a tournament function that determines the champion.
https://www.youtube.com/watch?v=4TFQD0ok5Ao
YouTube
I Let Python Pick My March Madness Bracket - Bracket Simulation Tutorial
In this video, we'll be creating a March Madness bracket simulator using Python. We'll build a program that simulates tournament games with realistic probabilities based on team seeds, allowing for both expected outcomes and potential upsets. The tutorial…
coredumpy
coredumpy saves your crash site for post-mortem debugging
https://github.com/gaogaotiantian/coredumpy
coredumpy saves your crash site for post-mortem debugging
https://github.com/gaogaotiantian/coredumpy
GitHub
GitHub - gaogaotiantian/coredumpy: coredumpy saves your crash site for post-mortem debugging
coredumpy saves your crash site for post-mortem debugging - gaogaotiantian/coredumpy
If-if-if or If-elif-elif when each condition is computationally expensive?
https://www.reddit.com/r/learnpython/comments/1jeapm0/ififif_or_ifelifelif_when_each_condition_is/
https://www.reddit.com/r/learnpython/comments/1jeapm0/ififif_or_ifelifelif_when_each_condition_is/
Reddit
From the learnpython community on Reddit
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How we started our async python migration
Have you ever wanted to try an Async Python migration, but were unsure where to start? Read this post to find out!
https://blog.duolingo.com/async-python-migration/
Have you ever wanted to try an Async Python migration, but were unsure where to start? Read this post to find out!
https://blog.duolingo.com/async-python-migration/
Duolingo Blog
How we started our async python migration
Have you ever wanted to try an Async Python migration, but were unsure where to start? Read this post to find out!
nova-act
Amazon Nova Act is a research preview of a new AI model for developers to build agents that take actions in web browsers.
https://github.com/aws/nova-act
Amazon Nova Act is a research preview of a new AI model for developers to build agents that take actions in web browsers.
https://github.com/aws/nova-act
GitHub
GitHub - aws/nova-act: Amazon Nova Act is a research preview of a new AI model for developers to build agents that take actions…
Amazon Nova Act is a research preview of a new AI model for developers to build agents that take actions in web browsers - aws/nova-act
Deploy Django 5.2 from Scratch. Complete Guide
This video provides a tutorial on deploying a Django project to Railway using modern deployment practices and covers setting up Python environments, Git, and configuring Django for production. It demonstrates how to use Railway's platform services to host and deploy Django applications with proper configurations, using Nixpacks or custom Dockerfiles.
https://www.youtube.com/watch?v=A4Pn2lEdoLQ
This video provides a tutorial on deploying a Django project to Railway using modern deployment practices and covers setting up Python environments, Git, and configuring Django for production. It demonstrates how to use Railway's platform services to host and deploy Django applications with proper configurations, using Nixpacks or custom Dockerfiles.
https://www.youtube.com/watch?v=A4Pn2lEdoLQ
YouTube
Deploy Django 5.2 from Scratch. Complete Guide.
In this course we take a Django project from development to production using modern deployment practices.
To make this happen, we use Railway's platform services to host and deploy our Django applications with proper configuration. Railway will build, host…
To make this happen, we use Railway's platform services to host and deploy our Django applications with proper configuration. Railway will build, host…
PyTorch and Python Free-Threading
This post examines multi-threaded parallel inference on PyTorch models using the new No-GIL, free-threaded version of Python. Using a simple 124M parameter GPT2 model that we train from scratch, we explore the novel new territory unlocked by free-threaded Python: parallel PyTorch model inference, where multiple threads, unimpeded by the Python GIL, attempt to generate text from a transfo...
https://trent.me/articles/pytorch-and-python-free-threading/
This post examines multi-threaded parallel inference on PyTorch models using the new No-GIL, free-threaded version of Python. Using a simple 124M parameter GPT2 model that we train from scratch, we explore the novel new territory unlocked by free-threaded Python: parallel PyTorch model inference, where multiple threads, unimpeded by the Python GIL, attempt to generate text from a transfo...
https://trent.me/articles/pytorch-and-python-free-threading/
Trent Nelson
PyTorch and Python Free-Threading – Trent Nelson
This post examines multi-threaded parallel inference on PyTorch models using the new No-GIL, free-threaded version of Python. Using a simple 124M parameter GPT2 model that we train from scratch, we explore the novel new territory unlocked by free-threaded…
AI Runner
AI Runner is a local-first tool that allows you to run open-source large language models (LLM) and AI image generators (Stable Diffusion) on your own hardware, without the need for a web server or cloud service.
https://github.com/capsize-games/airunner
AI Runner is a local-first tool that allows you to run open-source large language models (LLM) and AI image generators (Stable Diffusion) on your own hardware, without the need for a web server or cloud service.
https://github.com/capsize-games/airunner
GitHub
GitHub - Capsize-Games/airunner: Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated…
Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated workflows - Capsize-Games/airunner