What first interested you in data analysis, Python and pandas? I started my career working in ad tech, where I had access to log-level data from the ads that were being served, and I learned R to ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

Aspiring data-science and machine-learning developers now have more Microsoft-made free video tutorials to learn how to build software in Python, one of today's most popular and versatile programming ...

This article was originally published on Built In by Eric Kleppen. Variance is a powerful statistic used in data analysis and machine learning. It is one of the four main measures of variability along ...

In the world of data management, efficiency is king. That applies to businesses, but it also applies to educators and data analysts. Messy data can make everything harder. And while Google Sheets ...

Pandas is a library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time ...

This story contains interviews with Facebook engineering manager Burc Arpat, AppNexus ad-quality engineering director Dave Himrod, and Pandas creator Wes McKinney and Pandas developer Jeff Reback. But ...