September 2022
Beginner to intermediate
326 pages
9h 33m
English
Content preview from Practical Linear Algebra for Data Science
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.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.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.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.
Chapter 16. Python Tutorial
As I explained in Chapter 1, this chapter is a crash course on Python programming. It is designed to get you up to speed quickly to follow along with the code in the rest of the book, but it is not designed to be a complete source for Python mastery. If you’re looking for a dedicated Python book, then I recommend Learning Python by Mark Lutz (O’Reilly).
While working through this chapter, please have a Python session open. (I’ll explain how to do that later.) You are not going to learn Python just by reading the chapter; you need to read, type into Python, change and test the code, and so on.
Also, in this chapter you should manually key in all the code you see printed here. The code for all other chapters in this book is available online, but I want you to type in the code for this chapter manually. Once you are more familiar with Python coding, then manually typing in lots of code is a tedious waste of time. But when you are first learning to code, you need to code—that is, use your fingers to type in everything. Don’t just look at code on a page.
Why Python, and What Are the Alternatives?
Python is designed to be a general-purpose programming language. You can use Python to do text analysis, process web forms, create algorithms, and myriad other applications. Python is also widely used in data science and machine learning; for these applications, Python is basically just a calculator. Well, it’s an extremely powerful and versatile calculator, but ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.