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Welcome to issue 661 of Python Weekly. Let's get straight to the links this week.

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News

Introducing the Anaconda Code add-in for Microsoft Excel
Excel and Python users can now run their Python-powered projects in Excel locally with the Anaconda Code add-in.

PEP 751 – A file format to list Python dependencies for installation reproducibility
This PEP proposes a new file format for dependency specification to enable reproducible installation in a Python environment. The format is designed to be human-readable and machine-generated. Installers consuming the file should be able to evaluate each package in question in isolation, with no need for dependency resolution at install-time.

Articles, Tutorials and Talks

Debugging distributed database mysteries with Rust, packet capture and Polars
Unravel a mysterious network bandwidth issue in QuestDB's primary-replica replication was identified and resolved. Learn about the tools and techniques used, including Rust for packet capture and Python with Polars for data analysis, to optimize network performance.

How to debug your battery design
A guide on how to understand the performance of your battery with modelling and improve it.

Building A Generative AI Platform
The article outlines the common components and architecture of a generative AI platform, discussing how to enhance context input, implement guardrails, add model routing and gateways, optimize with caching, and incorporate complex logic and write actions. It provides a comprehensive guide for building and scaling AI applications, emphasizing the importance of observability and orchestration in managing these complex systems.

Tracing the evolution of a Python function with git log
The article explains how to use the git log -L command to trace the evolution of a specific function in a Python file, providing a more focused view of code changes over time. It demonstrates the process using an example from the Authlib package, highlighting the importance of setting up .gitattributes for Python files and showcasing how this method can help in debugging and understanding code history.

tea-tasting: a Python package for the statistical analysis of A/B tests
The article introduces tea-tasting, a Python package for statistical analysis of A/B tests, offering features like Student's t-test, Bootstrap, CUPED, and power analysis. It highlights the package's support for various data backends, extensible API, convenient framework for minimizing errors, and detailed documentation, making it a comprehensive tool for experiment analysis.

React + Django Ninja: Full-Stack Auth (in 15 Mins)

We'll create a full-stack application using React.js frontend and a Django REST API, using the awesome Django Ninja (Much nicer than Django REST framework), including user authentication.

Interesting Projects, Tools and Libraries

FastHTML
Modern web applications in pure Python. Built on solid web foundations, not the latest fads - with FastHTML you can get started on anything from simple dashboards to scalable web applications in minutes.

stack-pr
A tool for working with stacked PRs on github.

wat
Deep inspection of Python objects.

Treescope
An interactive HTML pretty-printer for machine learning research in IPython notebooks.

LeanDojo
Theorem Proving in Lean using Language Models.

patchwork
Automate development gruntwork like code reviews, patching and documentation with LLM workflows.

agent-zero
Agent Zero is an AI framework designed for creating general-purpose assistants capable of handling a wide range of tasks through a highly customizable and extensible system. It emphasizes dynamic learning, multi-agent cooperation, and the use of computer tools to accomplish tasks, all while being open-source and adaptable to user needs.

torchchat
Run PyTorch LLMs locally on servers, desktop and mobile.

Opslane
Reducing alert fatigue for on-call engineers.

Dioptra
Dioptra is a software test platform for assessing the trustworthy characteristics of artificial intelligence (AI).

DataChain
Process and curate unstructured data using local ML models and LLM calls.

New Releases

Python in Visual Studio Code – August 2024 Release
This release includes the following announcements:

Improved Python discovery using python-environment-tools
Inline variable values shown in source code
Improvements to the VS Code Native REPL for Python

Upcoming Events and Webinars

PyData London Meetup August 2024
There will be following talks

Building a Gesture-Controlled Robotic Arm with IoT and Python
Building trip itinerary planner with RAG
Abstractly reasoning - failing with an LLM

PyData Amsterdam Meetup August 2024
There will be following talks

GenAI Image Interaction: a next step beyond LLM text chatbots
Emerging best practices in Analyzing Usage Patterns and Quantifying Quality Metrics for GenAI Products

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