Applied Data Science with Python and Jupyter

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 ...