It is a handy tool for keeping a record of data explorations, creating charts, styling text and sharing the results of that work. For data analysis, the cornerstone package in Python is “Pandas”.

Programming languages: Python developers reveal what they use it for and their top tools New global survey shows that Python developers love machine learning, but just don't call them data scientists.

Pandas, the data analysis library for Python, has finally reached a 1.0 release candidate. Pandas 1.0 removes a great deal of deprecated functionality and requires Python 3.6 or better. Pandas was ...