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News & links about Python programming.
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Working with Excel Files in Python

https://www.python-excel.org/
How good is GPT-4o at generating Flask apps? Surprisingly promising

This article summarizes the findings when asking GPT-4o to generate Flask applications, ranging from a simple "Hello, World!" app to a full-fledged CRUD app with three database models and HTML pages with Tailwind. With careful prompting, GPT-4o can produce working Flask applications and follow (some) best coding practices.

https://ploomber.io/blog/gpt-4o-flask/
Python notebooks for fundamentals of music processing

https://www.audiolabs-erlangen.de/resources/MIR/FMP/C0/C0.html
mistral-finetune

mistral-finetune is a light-weight codebase that enables memory-efficient and performant finetuning of Mistral's models.

https://github.com/mistralai/mistral-finetune
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Fire Up Your Logging Needs with Pydantic Logfire

The pydantic team recently introduced logfire, a new logging tool that makes it easy to track and analyze your logs. Simply integrate logfire into your projects with just a few lines of code.

https://kadermiyanyedi.medium.com/fire-up-your-logging-needs-with-logfire-6330d7a08dfe
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DataFrames at Scale Comparison: TPC-H

We run benchmarks derived from the TPC-H benchmark suite on a variety of scales, hardware architectures, and dataframe projects, notably Apache Spark, Dask, DuckDB, and Polars. No project wins. This post analyzes results within each project and between projects.

https://docs.coiled.io/blog/tpch.html
How AI Can Help Deaf People Hear

This project facilitates communication between Deaf individuals and hearing individuals who do not understand American Sign Language (ASL). It is designed to respect and preserve ASL as the primary language.

https://www.youtube.com/watch?v=uuPxMWQRoXc
Don't worry about LLMs

The post argues that while large language models (LLMs) are receiving a lot of hype, the engineering systems built around them are similar to previous machine learning systems. It advises practitioners to cut through the hype and treat LLMs as regular engineering and ML problems.

https://vickiboykis.com/2024/05/20/dont-worry-about-llms/