10 Python Libraries you ABSOLUTELY need

@baniascodes

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Why it worked

The video provides a concise and valuable list of 10 Python libraries, directly addressing a common need for developers. The clear, text-heavy format with distinct sections for each library makes it easy to digest and reference, appealing to a broad audience interested in improving their Python development workflow.

Summary

This slideshow presents 10 essential Python libraries for developers, categorized by their function. Each slide highlights a library with a brief description of its use case, such as file handling, real-time data processing, AI memory, web scraping, structured data creation, web requests, dataframe code, Python interpretation for AI, online ML model training, and data pattern detection.

Structure

1Introduction of 10 essential Python libraries
2Library 1: aiofiles for async file operations
3Library 2: bytetwax for real-time data processing
4Library 3: cognee for AI memory
5Library 4: scraplng for web scraping
6Library 5: dspyydantic for structured data for LLM apps
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Original caption

10 Python libraries you need for your next project. [ai engineering, coding, software engineering, python] #ai #coding

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Product placement

The video promotes 10 Python libraries, with each slide dedicated to a specific library and its function. The libraries are presented as tools for developers, particularly those working with AI and data.

On-screen text

10 Python Libraries you ABSOLUTELY need from an AI Engineer 1. aiofiles Read and write files in async apps aiofiles: file support for asyncio 2. bytetwax Process live data in real time Bytewax: Python Stateful Stream Processing Framework 3. cognee Give AI apps better memory cognee - The Open-Source AI Memory Platform for Agents 4. scraplng Scrape websites with less effort Scraplng Effortless Web Scraping for the Modern Web 5. dspyydantic Create structured data for LLM apps DSPydantic Stop manually tuning prompts. Let your data optimize them. 6. niquests Send web requests with useful modern features NlQUESTS The awaited upgrade you didn't expect anymore It's not a typo it's a feature! 7. narwhals Use the same dataframe code across tools Narwhals 8. monty Python interpreter for AI Monty 9. river Train online ML models as new data arrives River 10. ruptures Find sudden changes and patterns in your data