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)

Vital Python

In this chapter, we present vital Python concepts, the core elements that everyone needs to know before starting to code. You cover a breadth of topics with a focus on math, strings, conditionals, and loops. By the end of this chapter, you will have a strong foundation in Python, and you will be able to write significant Python programs as you continue with the rest of this book.

You will start with a very famous developer example; that is, Python as a calculator. In addition to the standard operations of addition, subtraction, multiplication, division, and exponentiation, you will learn integer division and the modulus operator. By using only basic Python, you can outperform most calculators on the market.

Next, you'll learn about variables. Python is dynamically typed, meaning that variable types are unknown before the code runs. Python variables do not require special initialization. Our first variables will be integers, floats, and strings. You will identify and convert between types.

Next, in order to work with strings, you will utilize string methods, in addition to indexing, slicing, and string concatenation. You'll also use built-in functions such as print() and input() to communicate with the user.

Moving ahead, you'll encounter Booleans, true or false Python types, that precede conditionals, statements with if clauses that lead to branching. Booleans and conditionals allow us to write more complex programs by taking a greater number of possibilities into account.

Finally, you close the chapter with loops that allows us to repeat operations. In particular, we apply while loops and for loops, utilizing break and continue.

For true beginners, this introductory chapter will get you up to speed with basic programming concepts. If you are new to Python, you will see why the Python language is so clear, powerful, and valuable. By the end of this chapter, you will be comfortable running Python basics on their own, and you will be prepared to tackle more of the advanced concepts ahead.

Let's start coding in Python.