Seaborn is an easy-to-use data visualization library in Python. Installation is simple with PIP or Mamba, and importing datasets is effortless. Seaborn can quickly create histograms, scatter plots ...

At a glance. Title: Python Tools for Scientists Author: Lee Vaughan Publisher: No Starch Press Print: $49.99; Ebook: $39.99 Unpacking Anaconda. Part three tours many of the libraries packaged with ...

Discover how Python in Excel transforms data analysis with advanced features. Is it worth the hype? Find out if it’s right ...

There are many tools to perform data visualization, such as Tableau, Power BI, ChartBlocks, and more, which are no-code tools. A beginner’s guide to data visualization with Python and Seaborn ...

Here’s my run-down of some of the best, most popular or most innovative data visualization tools available today. These are all paid-for (although they all offer free trials or personal-use ...

Microsoft's Stefan Kinnestrand, writing about “the best of both worlds for data analysis and visualization,” writes that this public preview of Python in Excel will allow spreadsheet tinkerers ...

It pairs Python’s data analysis and visualization libraries with Excel’s features, plus the ability to call Python analytics from Anaconda’s enterprise-grade Python distribution hub.

Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.

Though more complicated as it requires programming knowledge, Python allows you to perform any manipulation, transformation, and visualization of your data. It is ideal for data scientists.