September 2021
Beginner to intermediate
256 pages
6h 48m
English
Content preview from Foundational Python for Data Science
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1
Introduction to Notebooks
All animals are equal, but some animals are more equal than others.
George Orwell
In This Chapter
This chapter introduces Google Colab’s Jupyter notebook environment, which is a great way for a beginner to get started in scientific Python development. This chapter begins by looking at traditional ways of running Python code.
Running Python Statements
Historically, Python was invoked either in an interactive Python shell or by supplying text files to the interpreter. If you have Python installed ...
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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.