The State of Django 2024
Discover the Django framework's popularity through statistics and learn the latest trends in Django development for 2024.
https://blog.jetbrains.com/pycharm/2024/06/the-state-of-django/
Discover the Django framework's popularity through statistics and learn the latest trends in Django development for 2024.
https://blog.jetbrains.com/pycharm/2024/06/the-state-of-django/
The JetBrains Blog
The State of Django 2024 | The PyCharm Blog
Discover the Django framework's popularity through statistics and learn the latest trends in Django development for 2024.
smbclient-ng
A fast and user friendly way to interact with SMB shares.
https://github.com/p0dalirius/smbclient-ng
A fast and user friendly way to interact with SMB shares.
https://github.com/p0dalirius/smbclient-ng
GitHub
GitHub - p0dalirius/smbclient-ng: smbclient-ng, a fast and user friendly way to interact with SMB shares.
smbclient-ng, a fast and user friendly way to interact with SMB shares. - GitHub - p0dalirius/smbclient-ng: smbclient-ng, a fast and user friendly way to interact with SMB shares.
Zango
Build microservices as tenants on a Django monolith. Avoid the infra & operational overheads. Scale effortlessly.
https://github.com/Healthlane-Technologies/Zango
Build microservices as tenants on a Django monolith. Avoid the infra & operational overheads. Scale effortlessly.
https://github.com/Healthlane-Technologies/Zango
GitHub
GitHub - Healthlane-Technologies/Zango: Django meta-framework for building enterprise-ready custom business applications 💼 ✨
Django meta-framework for building enterprise-ready custom business applications 💼 ✨ - Healthlane-Technologies/Zango
HolmesGPT
The Open Source DevOps Assistant - solve problems twice as fast with an AI teammate.
https://github.com/robusta-dev/holmesgpt/
The Open Source DevOps Assistant - solve problems twice as fast with an AI teammate.
https://github.com/robusta-dev/holmesgpt/
GitHub
GitHub - robusta-dev/holmesgpt: Your 24/7 On-Call AI Agent - Solve Alerts Faster with Automatic Correlations, Investigations, and…
Your 24/7 On-Call AI Agent - Solve Alerts Faster with Automatic Correlations, Investigations, and More - robusta-dev/holmesgpt
FineWeb: decanting the web for the finest text data at scale
The article introduces FineWeb, a Hugging Face project aimed at extracting high-quality text data from the web at scale. It highlights the methodology and tools used to ensure the gathered data is of the finest quality for training AI models, emphasizing the importance of clean and relevant text data for machine learning applications.
https://huggingface.co/spaces/HuggingFaceFW/blogpost-fineweb-v1
The article introduces FineWeb, a Hugging Face project aimed at extracting high-quality text data from the web at scale. It highlights the methodology and tools used to ensure the gathered data is of the finest quality for training AI models, emphasizing the importance of clean and relevant text data for machine learning applications.
https://huggingface.co/spaces/HuggingFaceFW/blogpost-fineweb-v1
Build Interactive Data Apps of Scikit-learn Models Using Taipy
A low-code data pipeline interface to compare various models.
https://taipy.io/blog/build-interactive-data-apps-of-scikit-learn-models-using-taipy
A low-code data pipeline interface to compare various models.
https://taipy.io/blog/build-interactive-data-apps-of-scikit-learn-models-using-taipy
Taipy
Build Interactive Data Apps of Scikit-learn Models Using Taipy
Learn how to build a simple, efficient data application using Taipy, an open-source full-stack data application builder. This article walks you through creating a data pipeline that trains classification models with sklearn and visualizes their performance…
modelscope / FunClip
Open-source, accurate and easy-to-use video speech recognition & clipping tool, LLM based AI clipping intergrated.
https://github.com/modelscope/FunClip
Open-source, accurate and easy-to-use video speech recognition & clipping tool, LLM based AI clipping intergrated.
https://github.com/modelscope/FunClip
GitHub
GitHub - modelscope/FunClip: Open-source, accurate and easy-to-use video speech recognition & clipping tool, LLM based AI clipping…
Open-source, accurate and easy-to-use video speech recognition & clipping tool, LLM based AI clipping intergrated. - modelscope/FunClip
ToonCrafter
A research paper for generative cartoon interpolation.
https://github.com/ToonCrafter/ToonCrafter
A research paper for generative cartoon interpolation.
https://github.com/ToonCrafter/ToonCrafter
GitHub
GitHub - Doubiiu/ToonCrafter: [SIGGRAPH Asia 2024, Journal Track] ToonCrafter: Generative Cartoon Interpolation
[SIGGRAPH Asia 2024, Journal Track] ToonCrafter: Generative Cartoon Interpolation - Doubiiu/ToonCrafter
What are the best Python projects you've worked on?
https://www.reddit.com/r/Python/comments/1d9r9xa/what_are_the_best_python_projects_youve_worked_on/
https://www.reddit.com/r/Python/comments/1d9r9xa/what_are_the_best_python_projects_youve_worked_on/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
Designing data loaders in Python classes
If you are designing an API that loads data into a standard format, consider the from and to syntax to describe data loaders. from data loaders should read data and serialise it into a class for processing, and to data loaders should convert data to another format, or save data to disk.
https://jamesg.blog/2024/06/04/python-dataloaders-/
If you are designing an API that loads data into a standard format, consider the from and to syntax to describe data loaders. from data loaders should read data and serialise it into a class for processing, and to data loaders should convert data to another format, or save data to disk.
https://jamesg.blog/2024/06/04/python-dataloaders-/
jamesg.blog
Designing data loaders in Python classes | James' Coffee Blog
TL;DR: If you are designing an API that loads data into a standard format, consider the from_ and to_ syntax to describe data loaders. from_ data loaders should read data and serialise it into a class for processing, and to_ data loaders should convert data…