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
Repository Index
47,133 repositories indexed
1–15 of 15 · Most stars
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.
:orange_book: 中华新华字典数据库。包括歇后语，成语，词语，汉字。
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data.humdata.org among many other sites.
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
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
The power of Chart.js with Python
Build, test, deploy, iterate - Dev and prod tool for data science pipelines
:chart_with_upwards_trend: A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.