JupyterLab 4.3 and Notebook 7.3 are available!
https://blog.jupyter.org/jupyterlab-4-3-and-notebook-7-3-are-available-eaaa7227d61b
https://blog.jupyter.org/jupyterlab-4-3-and-notebook-7-3-are-available-eaaa7227d61b
Medium
JupyterLab 4.3 and Notebook 7.3 are available!
JupyterLab 4.3.0 and Notebook 7.3.0 have been released! These new minor releases include many enhancements and bug fixes.
Text Chunking for RAG Systems with Chonkie
Speaks about the need for efficient text chunking and how to do that practically
https://medium.com/generative-ai/text-chunking-for-rag-systems-with-chonkie-d609d0eef55c
Speaks about the need for efficient text chunking and how to do that practically
https://medium.com/generative-ai/text-chunking-for-rag-systems-with-chonkie-d609d0eef55c
Medium
Text Chunking for RAG Systems with Chonkie
Chonkie: Revolutionizing Text Chunking for Efficient RAG Applications
Imposter Attack – Among Us-themed infrared game made with ESP32 and MicroPython
https://blog.langworth.com/imposter-attack
https://blog.langworth.com/imposter-attack
Ian Langworth's Things of Variable Interest
Imposter Attack
The design and construction of "Imposter Attack," a custom interactive game with ESP32-powered infrared targets, creative lighting, sound effects, and an Among Us-themed designs
Django: launch pdb when a given SQL query runs
This article discusses a technique for debugging Django applications by using database instrumentation to identify and break on specific SQL queries. This allows you to trace the execution flow back to the code that triggered the query, even when it's not immediately obvious.
https://adamj.eu/tech/2024/12/05/django-sql-breakpoint/
This article discusses a technique for debugging Django applications by using database instrumentation to identify and break on specific SQL queries. This allows you to trace the execution flow back to the code that triggered the query, even when it's not immediately obvious.
https://adamj.eu/tech/2024/12/05/django-sql-breakpoint/
adamj.eu
Django: launch pdb when a given SQL query runs - Adam Johnson
Here’s another technique for using pdb within Django. I will add this to the new debugging chapter of Boost Your Django DX in a future update.
Helping Securing the Python with Mike Fiedler
The episode discusses the security challenges faced by PyPI, including account takeovers and typo-squatting, highlighting the importance of measures like 2FA and collaboration with security researchers. It also explores the debate between maintaining legacy systems and greenfield development, emphasizing the complexities of managing critical infrastructure and the often underestimated ro...
https://share.transistor.fm/s/db1d4d9f
The episode discusses the security challenges faced by PyPI, including account takeovers and typo-squatting, highlighting the importance of measures like 2FA and collaboration with security researchers. It also explores the debate between maintaining legacy systems and greenfield development, emphasizing the complexities of managing critical infrastructure and the often underestimated ro...
https://share.transistor.fm/s/db1d4d9f
share.transistor.fm
Helping Securing the Python with Mike Fiedler | Screaming in the Cloud | Episode 619
On this Screaming in the Cloud In this episode of Screaming in the Cloud, Corey Quinn is joined by AWS container hero and security engineer at the Python Software Foundation, Mike Fiedler. They delve into the intricacies of Python's ecosystem, discussing…
The hand-picked selection of the best Python libraries and tools of 2024 – 10th edition!
https://www.reddit.com/r/Python/comments/1hbs4t8/the_handpicked_selection_of_the_best_python/
https://www.reddit.com/r/Python/comments/1hbs4t8/the_handpicked_selection_of_the_best_python/
Reddit
From the Python community on Reddit: The hand-picked selection of the best Python libraries and tools of 2024 – 10th edition!
Explore this post and more from the Python community
MegaParse
File Parser optimised for LLM Ingestion with no loss. Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
https://github.com/QuivrHQ/MegaParse
File Parser optimised for LLM Ingestion with no loss. Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
https://github.com/QuivrHQ/MegaParse
GitHub
GitHub - QuivrHQ/MegaParse: File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal…
File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs. - GitHub - QuivrHQ/MegaParse: File Parser optimised for LLM Ingestion with no loss...
Try This if You Don’t Like Python’s Exception Handling
Struggling with Python's unpredictable errors and None checks? This video shares a unique approach to making your code cleaner and more reliable using the returns package—no complicated try-except nests required.
https://www.youtube.com/watch?v=qkxf583t4Vc
Struggling with Python's unpredictable errors and None checks? This video shares a unique approach to making your code cleaner and more reliable using the returns package—no complicated try-except nests required.
https://www.youtube.com/watch?v=qkxf583t4Vc
YouTube
Why You Should Think Twice Before Using Returns in Python
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
Struggling with Python's unpredictable errors and None checks? In this video, I share a unique approach to making your code cleaner and more reliable using the returns package—no…
Struggling with Python's unpredictable errors and None checks? In this video, I share a unique approach to making your code cleaner and more reliable using the returns package—no…
Bruin
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
https://github.com/bruin-data/bruin
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
https://github.com/bruin-data/bruin
GitHub
GitHub - bruin-data/bruin: Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and…
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows. - bruin-data/bruin
❤1
chaidiscovery / chai-lab
Chai-1, SOTA model for biomolecular structure prediction
https://github.com/chaidiscovery/chai-lab
Chai-1, SOTA model for biomolecular structure prediction
https://github.com/chaidiscovery/chai-lab
GitHub
GitHub - chaidiscovery/chai-lab: Chai-1, SOTA model for biomolecular structure prediction
Chai-1, SOTA model for biomolecular structure prediction - chaidiscovery/chai-lab
Single-file Django Apps with nanodjango
Discover Nanodjango: a project simplifying Django development with single-file apps, APIs, and seamless transition to full projects. Perfect for quick experiments and sharing prototypes.
https://lincolnloop.com/insights/single-file-apps-with-nanodjango/
Discover Nanodjango: a project simplifying Django development with single-file apps, APIs, and seamless transition to full projects. Perfect for quick experiments and sharing prototypes.
https://lincolnloop.com/insights/single-file-apps-with-nanodjango/
Lincoln Loop
Single-file Django Apps with nanodjango | Lincoln Loop
Discover Nanodjango: a project simplifying Django development with single-file apps, APIs, and seamless transition to full projects. Perfect for quick experiments and sharing prototypes.
modelcontextprotocol / python-sdk
The official Python SDK for Model Context Protocol servers and clients
https://github.com/modelcontextprotocol/python-sdk
The official Python SDK for Model Context Protocol servers and clients
https://github.com/modelcontextprotocol/python-sdk
GitHub
GitHub - modelcontextprotocol/python-sdk: The official Python SDK for Model Context Protocol servers and clients
The official Python SDK for Model Context Protocol servers and clients - modelcontextprotocol/python-sdk
wozway
Easily control traffic between Apps and LLM using data security policies.
https://github.com/Defend-AI-Tech-Inc/wozway
Easily control traffic between Apps and LLM using data security policies.
https://github.com/Defend-AI-Tech-Inc/wozway
GitHub
GitHub - Defend-AI-Tech-Inc/wozway: AI Firewall for LLM Apps
AI Firewall for LLM Apps. Contribute to Defend-AI-Tech-Inc/wozway development by creating an account on GitHub.
Built my own link customization tool because paying $25/month wasn't my jam
https://www.reddit.com/r/Python/comments/1hij1l8/built_my_own_link_customization_tool_because/
https://www.reddit.com/r/Python/comments/1hij1l8/built_my_own_link_customization_tool_because/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
SeleniumBase: Python APIs for web automation and bypassing bot-detection
https://github.com/seleniumbase/SeleniumBase
https://github.com/seleniumbase/SeleniumBase
GitHub
GitHub - seleniumbase/SeleniumBase: Python APIs for web automation, testing, and bypassing bot-detection.
Python APIs for web automation, testing, and bypassing bot-detection. - seleniumbase/SeleniumBase
Build your Jupyter dashboard using Solara
This article demonstrates how to create an interactive dashboard in Jupyter using Solara, a Python framework built on ipywidgets. It guides readers through building a crime data visualization dashboard with filtering capabilities, charts, and maps, showcasing Solara's reactive and declarative nature for efficient dashboard development within Jupyter environments.
https://blog.jupyter.org/build-your-jupyter-dashboard-using-solara-569fa5b16e9c
This article demonstrates how to create an interactive dashboard in Jupyter using Solara, a Python framework built on ipywidgets. It guides readers through building a crime data visualization dashboard with filtering capabilities, charts, and maps, showcasing Solara's reactive and declarative nature for efficient dashboard development within Jupyter environments.
https://blog.jupyter.org/build-your-jupyter-dashboard-using-solara-569fa5b16e9c
Medium
Build your Jupyter dashboard using Solara
Welcome to the first part of a series of articles showing you how to create a dashboard in Jupyter and deploy it as a standalone web app…