CPython Garbage Collection: The Internal Mechanics and Algorithms
A detailed code walkthrough of how CPython implements memory management, including reference counting and garbage collection.
https://blog.codingconfessions.com/p/cpython-garbage-collection-internals
A detailed code walkthrough of how CPython implements memory management, including reference counting and garbage collection.
https://blog.codingconfessions.com/p/cpython-garbage-collection-internals
Codingconfessions
CPython Garbage Collection: The Internal Mechanics and Algorithms
A detailed code walkthrough of how CPython implements memory management, including reference counting and garbage collection
👍3
Understanding HTTP Server by Implementing in Python
https://muhammadraza.me/2024/building-http-server/
https://muhammadraza.me/2024/building-http-server/
Muhammad Raza
Understanding HTTP Server by implementing in Python | Muhammad
In this post, we will understand how an HTTP server works by implementing one in Python.
👍1
My thoughts on Python in Excel
An in-depth review of Microsoft's new Python in Excel functionality.
https://www.xlwings.org/blog/my-thoughts-on-python-in-excel
An in-depth review of Microsoft's new Python in Excel functionality.
https://www.xlwings.org/blog/my-thoughts-on-python-in-excel
Python in Excel alternative: Open. Self-hosted. No limits.
My thoughts on Python in Excel
An in-depth review of Microsoft's new Python in Excel functionality
Inspectus
Inspectus is a versatile visualization tool for large language models. It runs smoothly in Jupyter notebooks via an easy-to-use Python API. Inspectus provides multiple views, offering diverse insights into language model behaviors.
https://github.com/labmlai/inspectus
Inspectus is a versatile visualization tool for large language models. It runs smoothly in Jupyter notebooks via an easy-to-use Python API. Inspectus provides multiple views, offering diverse insights into language model behaviors.
https://github.com/labmlai/inspectus
GitHub
GitHub - labmlai/inspectus: LLM Analytics
LLM Analytics. Contribute to labmlai/inspectus development by creating an account on GitHub.
Burr
Burr makes it easy to develop applications that make decisions (chatbots, agents, simulations, etc...) from simple python building blocks.
https://github.com/dagworks-inc/burr
Burr makes it easy to develop applications that make decisions (chatbots, agents, simulations, etc...) from simple python building blocks.
https://github.com/dagworks-inc/burr
GitHub
GitHub - DAGWorks-Inc/burr: Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist…
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure. - DAGWorks-Inc/burr
Let's reproduce GPT-2 (124M)
In this video, Andrej Karpathy demonstrates how to reproduce the GPT-2 (124M) model, covering topics like parameter sharing, model initialization, mixed precision training, optimizations like flash attention, and hyperparameter tuning.
https://www.youtube.com/watch?v=l8pRSuU81PU
In this video, Andrej Karpathy demonstrates how to reproduce the GPT-2 (124M) model, covering topics like parameter sharing, model initialization, mixed precision training, optimizations like flash attention, and hyperparameter tuning.
https://www.youtube.com/watch?v=l8pRSuU81PU
YouTube
Let's reproduce GPT-2 (124M)
We reproduce the GPT-2 (124M) from scratch. This video covers the whole process: First we build the GPT-2 network, then we optimize its training to be really fast, then we set up the training run following the GPT-2 and GPT-3 paper and their hyperparameters…
pdm-project / pdm
A modern Python package and dependency manager supporting the latest PEP standards
https://github.com/pdm-project/pdm
A modern Python package and dependency manager supporting the latest PEP standards
https://github.com/pdm-project/pdm
GitHub
GitHub - pdm-project/pdm: A modern Python package and dependency manager supporting the latest PEP standards
A modern Python package and dependency manager supporting the latest PEP standards - pdm-project/pdm
👀1
Python in Visual Studio Code – June 2024 Release
This release includes the following announcements:
https://devblogs.microsoft.com/python/python-in-visual-studio-code-june-2024-release/
This release includes the following announcements:
https://devblogs.microsoft.com/python/python-in-visual-studio-code-june-2024-release/
Microsoft News
Python in Visual Studio Code – June 2024 Release
The June 2024 release of the Python and Jupyter extensions for Visual Studio Code are now available. This month's updates include an experimental Python REPL with Intellisense and syntax highlighting, and pytest improvements on the testing rewrite. Keep reading…
StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.
https://github.com/ictnlp/StreamSpeech
https://github.com/ictnlp/StreamSpeech
GitHub
GitHub - ictnlp/StreamSpeech: StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech…
StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis. - ictnlp/StreamSpeech
Optimal SQLite settings for Django
The article provides optimal SQLite settings for Django applications, aimed at enhancing performance and reliability for smaller deployments. It includes specific PRAGMA configurations and a simple backup strategy, highlighting the potential of SQLite when correctly tuned for production use.
https://gcollazo.com/optimal-sqlite-settings-for-django/
The article provides optimal SQLite settings for Django applications, aimed at enhancing performance and reliability for smaller deployments. It includes specific PRAGMA configurations and a simple backup strategy, highlighting the potential of SQLite when correctly tuned for production use.
https://gcollazo.com/optimal-sqlite-settings-for-django/
Gcollazo
Optimal SQLite settings for Django
Cracking the Scheduling Code in Hay Day
Learn how to solve the scheduling problem in the Hay Day game using Mixed-integer linear programming and Google OR-Tools.
https://thinhcorner.com/blog/hayday-game-schedule
Learn how to solve the scheduling problem in the Hay Day game using Mixed-integer linear programming and Google OR-Tools.
https://thinhcorner.com/blog/hayday-game-schedule
Thinhcorner
Cracking the Scheduling Code in Hay Day
Learn how to solve the scheduling problem in the Hay Day game using Mixed-integer linear programming and Google OR-Tools.
Build a SaaS App with Django, Stripe, Neon PostgreSQL, TailwindCSS, GitHub Actions
This video is a Python tutorial that teaches how to build a SaaS app with Django, Stripe, Neon PostgreSQL, TailwindCSS, and GitHub Actions. It covers topics like Django web development, sending emails, user authentication, deployment, database integration, static files, and subscription management.
https://www.youtube.com/watch?v=WbNNESIxJnY
This video is a Python tutorial that teaches how to build a SaaS app with Django, Stripe, Neon PostgreSQL, TailwindCSS, and GitHub Actions. It covers topics like Django web development, sending emails, user authentication, deployment, database integration, static files, and subscription management.
https://www.youtube.com/watch?v=WbNNESIxJnY
YouTube
Python Tutorial: Build a SaaS App with Django, Stripe, Neon PostgreSQL, TailwindCSS, GitHub Actions
⭐️ Sign up for Neon right now! https://neon.tech/cfe
Topics:
✅ Python web development with Django
✅ Sending Emails with Gmail
✅ Django AllAuth + GitHub Login
✅ Deploy to Railway (https://kirr.co/qysgeu)
✅ Integrate Neon Postgres
✅ Django Groups and User…
Topics:
✅ Python web development with Django
✅ Sending Emails with Gmail
✅ Django AllAuth + GitHub Login
✅ Deploy to Railway (https://kirr.co/qysgeu)
✅ Integrate Neon Postgres
✅ Django Groups and User…
Nvidia Warp: A Python framework for high performance GPU simulation and graphics
https://github.com/NVIDIA/warp
https://github.com/NVIDIA/warp
GitHub
GitHub - NVIDIA/warp: A Python framework for accelerated simulation, data generation and spatial computing.
A Python framework for accelerated simulation, data generation and spatial computing. - NVIDIA/warp
Sold my Python open source project to a San Francisco AI company. Now I work for them. AMA.
https://www.reddit.com/r/Python/comments/1de2llp/sold_my_python_open_source_project_to_a_san/
https://www.reddit.com/r/Python/comments/1de2llp/sold_my_python_open_source_project_to_a_san/
Reddit
From the Python community on Reddit: Sold my Python open source project to a San Francisco AI company. Now I work for them. AMA.
Explore this post and more from the Python community
Modal Forms with Django, HTMX, and Tailwind CSS
This video shows how you can convert a traditional Django form to an HTMX modal element in just a few quick steps.
https://www.youtube.com/watch?v=L1VC-KpSoBk
This video shows how you can convert a traditional Django form to an HTMX modal element in just a few quick steps.
https://www.youtube.com/watch?v=L1VC-KpSoBk
YouTube
Modal Forms with Django, HTMX, and Tailwind CSS
This video shows how you can convert a traditional Django form to an HTMX modal element in just a few quick steps. I live-code the process of updating my app's standard Django form to use an HTMX modal element, showing the issues you run into along the way…
Insanely Easy GPT-4 One Prompt Streamlit Interactive Plotly Sunburst Chart
Simple and modular prompt engineering for efficient Python charting results.
https://johnloewen.substack.com/p/insanely-easy-gpt-4-one-prompt-streamlit
Simple and modular prompt engineering for efficient Python charting results.
https://johnloewen.substack.com/p/insanely-easy-gpt-4-one-prompt-streamlit
Data at Depth
Insanely Easy GPT-4 One Prompt Streamlit Interactive Plotly Sunburst Chart
Simple and modular prompt engineering for efficient Python charting results