frappe / frappe
Low code web framework for real world applications, in Python and Javascript
https://github.com/frappe/frappe
Low code web framework for real world applications, in Python and Javascript
https://github.com/frappe/frappe
GitHub
GitHub - frappe/frappe: Low code web framework for real world applications, in Python and Javascript
Low code web framework for real world applications, in Python and Javascript - frappe/frappe
AutoPrompt
Auto Prompt is a prompt optimization framework designed to enhance and perfect your prompts for real-world use cases.
https://github.com/Eladlev/AutoPrompt
Auto Prompt is a prompt optimization framework designed to enhance and perfect your prompts for real-world use cases.
https://github.com/Eladlev/AutoPrompt
GitHub
GitHub - Eladlev/AutoPrompt: A framework for prompt tuning using Intent-based Prompt Calibration
A framework for prompt tuning using Intent-based Prompt Calibration - GitHub - Eladlev/AutoPrompt: A framework for prompt tuning using Intent-based Prompt Calibration
ingestr
ingestr is a CLI tool to copy data between any databases with a single command seamlessly.
https://github.com/bruin-data/ingestr
ingestr is a CLI tool to copy data between any databases with a single command seamlessly.
https://github.com/bruin-data/ingestr
GitHub
GitHub - bruin-data/ingestr: ingestr is a CLI tool to copy data between any databases with a single command seamlessly.
ingestr is a CLI tool to copy data between any databases with a single command seamlessly. - bruin-data/ingestr
Python in Visual Studio Code – March 2024 Release
This release includes the following announcements:
https://devblogs.microsoft.com/python/python-in-visual-studio-code-march-2024-release/
This release includes the following announcements:
https://devblogs.microsoft.com/python/python-in-visual-studio-code-march-2024-release/
Microsoft News
Python in Visual Studio Code – March 2024 Release
The March 2024 release of the Python and Jupyter extensions for Visual Studio Code are now available. This month's updates include new add import Code Actions from Pylance, improvements for developing and testing web apps, shell integration in the Python…
OpenBMB / MiniCPM
MiniCPM-2B: An end-side LLM outperforms Llama2-13B.
https://github.com/OpenBMB/MiniCPM
MiniCPM-2B: An end-side LLM outperforms Llama2-13B.
https://github.com/OpenBMB/MiniCPM
GitHub
GitHub - OpenBMB/MiniCPM: MiniCPM4: Ultra-Efficient LLMs on End Devices, achieving 5+ speedup on typical end-side chips
MiniCPM4: Ultra-Efficient LLMs on End Devices, achieving 5+ speedup on typical end-side chips - OpenBMB/MiniCPM
Fanghua-Yu / SUPIR
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild
https://github.com/Fanghua-Yu/SUPIR
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild
https://github.com/Fanghua-Yu/SUPIR
GitHub
GitHub - Fanghua-Yu/SUPIR: SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our…
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai. - Fanghua-Yu/SUPIR
A Retrospective on Requests
python-requests has been around for a long time. I've been a maintainer for many years and I share some retrospective thoughts on the project.
https://blog.ian.stapletoncordas.co/2024/02/a-retrospective-on-requests
python-requests has been around for a long time. I've been a maintainer for many years and I share some retrospective thoughts on the project.
https://blog.ian.stapletoncordas.co/2024/02/a-retrospective-on-requests
blog.ian.stapletoncordas.co
A Retrospective on Requests - cat /dev/brain
Advanced Retrieval-Augmented Generation: From Theory to LlamaIndex Implementation
How to address limitations of naive RAG pipelines by implementing targeted advanced RAG techniques in Python.
https://towardsdatascience.com/advanced-retrieval-augmented-generation-from-theory-to-llamaindex-implementation-4de1464a9930
How to address limitations of naive RAG pipelines by implementing targeted advanced RAG techniques in Python.
https://towardsdatascience.com/advanced-retrieval-augmented-generation-from-theory-to-llamaindex-implementation-4de1464a9930
Towards Data Science
Advanced Retrieval-Augmented Generation: From Theory to LlamaIndex Implementation | Towards Data Science
How to address limitations of naive RAG pipelines by implementing targeted advanced RAG techniques in Python
JupyterLab 4.1 and Notebook 7.1 are here
JupyterLab 4.1 and Notebook 7.1 are now available! These releases include several new features, bug fixes, and enhancements for extension developers. This release is compatible with extensions supporting JupyterLab 4.0 and Notebook 7.0.
https://blog.jupyter.org/jupyterlab-4-1-and-notebook-7-1-are-here-20bfc3c10217
JupyterLab 4.1 and Notebook 7.1 are now available! These releases include several new features, bug fixes, and enhancements for extension developers. This release is compatible with extensions supporting JupyterLab 4.0 and Notebook 7.0.
https://blog.jupyter.org/jupyterlab-4-1-and-notebook-7-1-are-here-20bfc3c10217
Medium
JupyterLab 4.1 and Notebook 7.1 are here 🎉
JupyterLab 4.1 and Notebook 7.1 are now available! These releases include several new features, bug fixes, and enhancements for extension…
Mamba: The Hard Way
A post about Mamba, a recent neural architecture that can be roughly thought of as a modern recurrent neural network (RNN). The model works really well and is a legitimate competitor with the ubiquitous Transformer architecture. It has gotten a lot of attention.
https://srush.github.io/annotated-mamba/hard.html
A post about Mamba, a recent neural architecture that can be roughly thought of as a modern recurrent neural network (RNN). The model works really well and is a legitimate competitor with the ubiquitous Transformer architecture. It has gotten a lot of attention.
https://srush.github.io/annotated-mamba/hard.html
Why Python's Integer Division Floors (2010)
http://python-history.blogspot.com/2010/08/why-pythons-integer-division-floors.html
http://python-history.blogspot.com/2010/08/why-pythons-integer-division-floors.html
Blogspot
Why Python's Integer Division Floors
I was asked (again) today to explain why integer division in Python returns the floor of the result instead of truncating towards zero like...
Hancho – A simple and pleasant build system in ~500 lines of Python
https://github.com/aappleby/hancho
https://github.com/aappleby/hancho
GitHub
GitHub - aappleby/hancho: A simple pleasant build system in Python.
A simple pleasant build system in Python. Contribute to aappleby/hancho development by creating an account on GitHub.
Build a Retrieval-Augmented Generation Chatbot in 5 Minutes
In under 5 minutes and with only 100 lines of Python code, Rohan Rao, senior solutions architect at NVIDIA, demos how large language models (LLMs) can be developed and deployed for AI chatbot applications—without needing your own GPU infrastructure.
https://www.youtube.com/watch?v=N_OOfkEWcOk
In under 5 minutes and with only 100 lines of Python code, Rohan Rao, senior solutions architect at NVIDIA, demos how large language models (LLMs) can be developed and deployed for AI chatbot applications—without needing your own GPU infrastructure.
https://www.youtube.com/watch?v=N_OOfkEWcOk
YouTube
Build a Retrieval-Augmented Generation Chatbot in 5 Minutes
In under 5 minutes and with only 100 lines of Python code, Rohan Rao, senior solutions architect at NVIDIA, demos how large language models (LLMs) can be developed and deployed for AI chatbot applications—without needing your own GPU infrastructure.
This…
This…
X-PLUG / MobileAgent
Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception
https://github.com/X-PLUG/MobileAgent
Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception
https://github.com/X-PLUG/MobileAgent
GitHub
GitHub - X-PLUG/MobileAgent: Mobile-Agent: The Powerful Mobile Device Operation Assistant Family
Mobile-Agent: The Powerful Mobile Device Operation Assistant Family - X-PLUG/MobileAgent
Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More
Learn about generative models and different frameworks, investigating the production of text and visual material produced by artificial intelligence.
https://www.youtube.com/watch?v=mEsleV16qdo
Learn about generative models and different frameworks, investigating the production of text and visual material produced by artificial intelligence.
https://www.youtube.com/watch?v=mEsleV16qdo
YouTube
Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More
Learn about generative models and different frameworks, investigating the production of text and visual material produced by artificial intelligence. This course was originally recorded live.
Instructors: Krish Naik, Sunny Savita, and Boktiar Ahmed Bappy.…
Instructors: Krish Naik, Sunny Savita, and Boktiar Ahmed Bappy.…
Advanced Web Scraping With Python: Extract Data From Any Site
This article covers how to get and manage cookies and custom headers, avoid TLS fingerprinting, recognize important HTTP headers to send in requests, and how to implement exponential-backoff HTTP request retrying.
https://jacobpadilla.com/articles/advanced-web-scraping-techniques
This article covers how to get and manage cookies and custom headers, avoid TLS fingerprinting, recognize important HTTP headers to send in requests, and how to implement exponential-backoff HTTP request retrying.
https://jacobpadilla.com/articles/advanced-web-scraping-techniques
Jacob Padilla
Advanced Web Scraping With Python: Extract Data From Any Site
Learn how to manage cookies and custom headers, avoid TLS fingerprinting, recognize important HTTP headers, and implement exponential HTTP request retrying.