Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science.

Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in matrixes.

In this section, we'll use the Seaborn library, which I've covered previously, to visualize statistical data with Python the way you would with a graphing calculator in a stats class.

The array type is useful in those cases, but in almost every pure-Python case you’ll want to use lists. For everyday work that would normally use a list, there’s no performance advantage to ...

Syndication How to use Python and Selenium to scrape websites July 22, 2020 - 11:00 am Web scraping has been used to extract data from websites almost from the time the World Wide Web was born.

Microsoft's two new video series target beginner developers interested in using Python for machine-learning programs. Written by Liam Tung, Contributing Writer May 4, 2020 at 9:00 a.m. PT ...