#python #dataframe #gui #hacktoberfest #pandas #viewer

https://github.com/adamerose/pandasgui

#rust #arrow #dataframe #datafusion #distributed #java #jvm #kotlin #kubernetes #scala #spark

https://github.com/ballista-compute/ballista

#rust #dataframe #dataframe_library #dataframes

https://github.com/ritchie46/polars

#rust #arrow #dataframe #dataframe_library #dataframes #out_of_core #polars #python #rust

Polars is a powerful tool for working with data that is very fast and efficient. It supports multiple programming languages like Rust, Python, Node.js, and R. Here are the key benefits Polars is extremely fast, making it one of the best performing solutions available.
- **Multi-threaded and SIMD** It optimizes queries to make them run efficiently.
- **Handling Large Data** You can install Polars easily using pip for Python or through other package managers for other languages.
- **Comprehensive Documentation**: There are detailed user guides, documentation, and community support available.

Overall, Polars helps you work with large datasets quickly and efficiently, making it a valuable tool for data analysis.

https://github.com/pola-rs/polars

#python #a_shares #akshare #dataframe #pandas #python #ta_lib #turtle_trade #tushare

This program, called Sequoia, helps you choose stocks using different strategies. It uses data from East Money and allows you to select or combine multiple strategies. Here’s how it benefits you You can choose from various stock selection strategies or even create your own.
- **Easy Setup** You can set up the program to run automatically at scheduled times, and it can even send you notifications via WeChat.
- **Backtesting**: You can test your strategies on historical data by setting a specific end date.

Overall, Sequoia makes it easier to manage and automate your stock selection process.

https://github.com/sngyai/Sequoia