October 2018
Beginner
192 pages
3h 39m
English
Content preview from Applied Data Science with Python and Jupyter
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1
Jupyter Fundamentals
Learning Objectives
By the end of this chapter, you will be able to:
- Describe Jupyter Notebooks and how they are used for data analysis
- Describe the features of Jupyter Notebooks
- Use Python data science libraries
- Perform simple exploratory data analysis
In this chapter, you will learn and implement the fundamental features of the Jupyter notebook by completing several hands-on erxercises.
Introduction
Jupyter Notebooks are one of the most important tools for data scientists using Python. This is because they're an ideal environment for developing reproducible data analysis pipelines. Data can be loaded, transformed, and modeled all inside a single Notebook, where it's quick and easy to test out code and explore ...
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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.