September 2021
Beginner to intermediate
256 pages
6h 48m
English
Content preview from Foundational Python for Data Science
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Preface
The Python language has been around for a long time and worn many hats. Its original implementation was started by Guido van Rossum in 1989 as a tool for system administration as an alternative to Bash scripts and C programs.1 Since its public release in 1991, it has evolved for use in a myriad of industries. These include everything from web-development, film, government, science, and business.2
I was first introduced to Python working in the film industry, where we used it to automate data management across departments and locations. In the last decade, Python has become a dominant tool in Data Science.
This dominance evolved due to two developments: the Jupyter notebook, and powerful third-party libraries. In 2001 Fernando Perez began ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.