January 2023
Intermediate to advanced
472 pages
17h 59m
English
Content preview from Python Tools for Scientists
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20PANDAS, SEABORN, AND SCIKIT-LEARN
A common scientific practice is evaluating data and using it to generate predictive models. In this chapter, we’ll use three of Python’s most popular open source libraries to solve a zoological classification problem. Using this hands-on, project-based approach will showcase the functionality and synergy among the libraries and demonstrate what’s involved in doing science with Python.
For data loading, analysis, and manipulation, we’ll use the pandas package (https://pandas.pydata.org/). Built on NumPy and Matplotlib, pandas uses array-based computing under the hood but has simpler syntax, making coding and ...
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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.