The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are ...

Syndication 10 simple Python tips to speed up your data analysis October 12, 2020 - 11:39 am Tips and tricks, especially in the programming world, can be very useful.

Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API, with Python via the BQL Object Model. This session will feature practical demonstrations, code ...

Researchers at Tsinghua University have unveiled a new Python toolkit for automated single-cell lineage tracing and analysis—featuring rapid barcode QC, clone-size metrics, dynamic Sankey ...

"Solve 100 Python Exercises to Boost Your Python Skills" actually has beginner-level exercises, as well. But you'll also be ready for "Learn Python for Data Analysis & Visualization" and "Data ...

This post is designed to spare other SEO pros the same fate. Within it, we’ll cover the Python equivalents of the most commonly used Excel formulas and features for SEO data analysis – all of ...

The topics covered include methods for data cleaning and transformation, manipulation of data using tabular data structures, relational database models, structured query languages (e.g. SQL), ...