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News & links about Python programming.
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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
UV and Ruff: Next-gen Python Tooling

UV and Ruff are presented as a powerful duo for modern Python development, with UV accelerating the development cycle and Ruff streamlining code review. This presentation promises to enhance coding practices and boost productivity for developers of all levels, showcasing these tools as essential for cleaner, faster, and more robust Python code.

https://www.youtube.com/watch?v=ifj-izwXKRA
TypeScribe

TypeScribe is a tool that uses Machine Learning to convert typed text into realistic handwriting by introducing customizable degrees of randomness and variations, to make it all so believable.

https://github.com/rudyoactiv/typescribe-handwriting
How the CIA Writes Python

The article explores the CIA's Python coding practices, including their style guide based on Google's, preferences for Python versions, and practical insights on development tools. It highlights unique aspects like using local PyPI servers, specific testing setups, and templates for CLI scripts, reflecting a blend of security considerations and pragmatic development approaches.

https://compileralchemy.substack.com/p/how-the-cia-writes-python
Debugging Python with VS Code and Sentry

Pairing VS Code and Sentry can lead to quicker resolved issues in your app. Learn how to debug your Python project with these two tools here.

https://blog.sentry.io/debugging-python-with-vs-code-and-sentry/
Building an LLM-Powered Slackbot

This article describes Benchling's development of a Slackbot powered by a Large Language Model (LLM). The LLM taps into a knowledge base stored in Amazon Bedrock, allowing developers to ask questions and receive answers directly through the familiar Slack interface.

https://benchling.engineering/building-an-llm-powered-slackbot-557a6241e993
All your Python project in one file with shiv

Summary(This article assumes you are comfy with pip + venv. If you are not, we have articles for ...

https://www.bitecode.dev/p/all-your-python-project-in-one-file