Book Image

Become a Python Data Analyst

By : Alvaro Fuentes
Book Image

Become a Python Data Analyst

By: Alvaro Fuentes

Overview of this book

Python is one of the most common and popular languages preferred by leading data analysts and statisticians for working with massive datasets and complex data visualizations. Become a Python Data Analyst introduces Python’s most essential tools and libraries necessary to work with the data analysis process, right from preparing data to performing simple statistical analyses and creating meaningful data visualizations. In this book, we will cover Python libraries such as NumPy, pandas, matplotlib, seaborn, SciPy, and scikit-learn, and apply them in practical data analysis and statistics examples. As you make your way through the chapters, you will learn to efficiently use the Jupyter Notebook to operate and manipulate data using NumPy and the pandas library. In the concluding chapters, you will gain experience in building simple predictive models and carrying out statistical computation and analysis using rich Python tools and proven data analysis techniques. By the end of this book, you will have hands-on experience performing data analysis with Python.
Table of Contents (8 chapters)

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...