pandas

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

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

:zap: A Fast, Extensible Progress Bar for Python and CLI

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Download market data from Yahoo! Finance's API

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

PyGWalker: Turn your dataframe into an interactive UI for visual analysis

TuShare is a utility for crawling historical data of China stocks

Statistical data visualization in Python

Parallel computing with task scheduling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Open Machine Learning Course

Modin: Scale your Pandas workflows by changing a single line of code

Instant Kubernetes-Native Application Observability

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

Time series forecasting with PyTorch