The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
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Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
Colour Science for Python
Clean APIs for data cleaning. Python implementation of R package Janitor
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Main yt repository
A Python toolkit for processing tabular data
No description provided by the repository host.
The power of Chart.js with Python
Build, test, deploy, iterate - Dev and prod tool for data science pipelines
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.