June 2018
Intermediate to advanced
248 pages
5h 27m
English
Content preview from Mastering Numerical Computing with NumPy
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Loading and saving files
In this section, you will learn how to load/import your data and save it. There are many different ways of loading data, and the right way depends on your file type. You can load/import text files, SAS/Stata files, HDF5 files, and many others. HDF (Hierarchical Data Format) is one of the popular data formats which is used to store and organize large amounts of data and it is very useful while working with a multidimensional homogeneous arrays. For example, Pandas library has a very handy class named as HDFStore where you can easily work with HDF5 files. While working on data science projects, you will most likely see many of these types of files, but in this book, we will cover the most popular ones, such as NumPy ...
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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.