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Become a Python Data Analyst

You're reading from Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python

Product type Paperback

Published in Aug 2018

Publisher Packt

ISBN-13 9781789531701

Length 178 pages

Edition 1st Edition

Languages

Python

Tools

Pandas

Concepts

Data Analysis

Author (1):

Alvaro Fuentes

View More author details

Table of Contents (13) Chapters

Title Page

Copyright and Credits

Packt Upsell

Contributor

Preface

1. The Anaconda Distribution and Jupyter Notebook FREE CHAPTER

2. Vectorizing Operations with NumPy

3. Pandas - Everyone's Favorite Data Analysis Library

4. Visualization and Exploratory Data Analysis

5. Statistical Computing with Python

6. Introduction to Predictive Analytics Models

1. Other Books You May Enjoy

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Index

Introducing Matplotlib

Matplotlib tries to make easy things easier, and hard things possible. Basically, matplotlib is a plotting library that produces publication quality figures in a variety of formats and interactive environments. Let's now discuss what matplotlib is, its capabilities, and also its basic concepts, figures, subplots (axes), and axes. It can be used everywhere and for a variety of purposes. It can also be used in Python scripts, Python interpreter, the Python shell, the Jupyter Notebook, web application servers, and every graphical user interface that we can produce with Python.

Now, let's take a look at our Jupyter Notebook, wherein lies more information about matplotlib. But before doing that, let's first visit the website matplotlib.org. This is the project website and the primary online resource for this library's documentation. We can find examples, frequently asked questions, and the gallery, which is something we need to look at.

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Authors (1)

Alvaro Fuentes

Alvaro Fuentes

Alvaro Fuentes is a senior data scientist with a background in applied mathematics and economics. He has more than 14 years of experience in various analytical roles and is an analytics consultant at one of the ‘Big Three' global management consulting firms, leading advanced analytics projects in different industries like banking, technology, and consumer goods. Alvaro is also an author and trainer in analytics and data science and has published courses and books, such as 'Become a Python Data Analyst' and 'Hands-On Predictive Analytics with Python'. He has also taught data science and related topics to thousands of students both on-site and online through different platforms such as Springboard, Simplilearn, Udemy, and BSG Institute, among others.

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