Book Image

The Python Workshop

By : Olivier Pons, Andrew Bird, Dr. Lau Cher Han, Mario Corchero Jiménez, Graham Lee, Corey Wade
Book Image

The Python Workshop

By: Olivier Pons, Andrew Bird, Dr. Lau Cher Han, Mario Corchero Jiménez, Graham Lee, Corey Wade

Overview of this book

Have you always wanted to learn Python, but never quite known how to start? More applications than we realize are being developed using Python because it is easy to learn, read, and write. You can now start learning the language quickly and effectively with the help of this interactive tutorial. The Python Workshop starts by showing you how to correctly apply Python syntax to write simple programs, and how to use appropriate Python structures to store and retrieve data. You'll see how to handle files, deal with errors, and use classes and methods to write concise, reusable, and efficient code. As you advance, you'll understand how to use the standard library, debug code to troubleshoot problems, and write unit tests to validate application behavior. You'll gain insights into using the pandas and NumPy libraries for analyzing data, and the graphical libraries of Matplotlib and Seaborn to create impactful data visualizations. By focusing on entry-level data science, you'll build your practical Python skills in a way that mirrors real-world development. Finally, you'll discover the key steps in building and using simple machine learning algorithms. By the end of this Python book, you'll have the knowledge, skills and confidence to creatively tackle your own ambitious projects with Python.
Table of Contents (13 chapters)

The pandas Library

Pandas is the Python library that handles data on all fronts. Pandas can import data, read data, and display data in an object called a DataFrame. A DataFrame consists of rows and columns. One way to get a feel for DataFrames is to create one.

In the IT industry, pandas is widely used for data manipulation. It is also used for stock prediction, statistics, analytics, big data, and, of course, data science.

In the following exercises, you will be working with DataFrames and learning different computations that are available with them.

Exercise 134: Using DataFrames to Manipulate Stored Student testscore Data

In this exercise, you will create a dictionary, which is one of many ways to create a pandas DataFrame. You will then manipulate this data as required. In order to use pandas, you must import pandas, which is universally imported as pd. Pandas and NumPy are so omnipresent it's a good idea to import them first before performing any kind of data...