#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
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
GitHub
GitHub - pola-rs/polars: Extremely fast Query Engine for DataFrames, written in Rust
Extremely fast Query Engine for DataFrames, written in Rust - pola-rs/polars