If you want to work specifically with Pandas, use Pandaral·lel; for parallel distribution of work in Jupyter notebooks, use Ipyparallel. And, for more generic Python workloads, Dispy, Joblib ...

Pandas is a Python library used for working with table data. It allows for high-level data manipulation where the key data structure is a DataFrame. DataFrames are similar to Excel spreadsheets ...

This online data science specialization is designed for learners with little to no programming experience who want to use Python as a tool to play with ... specifically used for data science, such as ...

MotherDuck and Polars are building fast OLAP engines to replace Pandas. Astral and Prefix are modernizing ... GitHub fail to reproduce), the JSON file format made them hard to use in Python codebases, ...

Python pandas creator Wes McKinney has joined Posit as a principal architect, a move that signals the company’s increasing seriousness about being a key player in the Python universe as well as ...