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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
10 Weeks, 20 Lessons, Data Science for All!
:zap: A Fast, Extensible Progress Bar for Python and CLI
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
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
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.
Modin: Scale your Pandas workflows by changing a single line of code
cuDF - GPU DataFrame Library
A terminal spreadsheet multitool for discovering and arranging data
the portable Python dataframe library
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Visualizer for pandas data structures
Python tools for geographic data
Technical Analysis Library using Pandas and Numpy
Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.
Time series forecasting with PyTorch
A python wrapper for Alpha Vantage API for financial data.
Mimesis is a fast Python library for generating fake data in multiple languages.
A light-weight, flexible, and expressive statistical data testing library
Performance analysis of predictive (alpha) stock factors
Missing data visualization module for Python.
N-D labeled arrays and datasets in Python
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
A Python module for creating Excel XLSX files.
Extract data from a wide range of Internet sources into a pandas DataFrame.