Python Crash Course 2nd PDF Free Download

Python Crash Course Summary

Python Crash Course is the world’s best-selling guide to the Python programming language. This fast-paced, thorough introduction to programming with Python will have you writing programs, solving problems, and making things that work in no time.

In the first half of the book, you’ll learn basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic. You’ll also learn how to make your programs interactive and test your code safely before adding it to a project. In the second half, you’ll put your new knowledge into practice with three substantial projects: a Space Invaders–inspired arcade game, a set of data visualizations with Python’s handy libraries, and a simple web app you can deploy online.

As you work through the book, you’ll learn how to:

• Use powerful Python libraries and tools, including Pygame, Matplotlib, Plotly, and Django

• Make 2D games that respond to keypresses and mouse clicks, and that increase in difficulty

• Use data to generate interactive visualizations

• Create and customize Web apps and deploy them safely online

• Deal with mistakes and errors so you can solve your own programming problems

This updated second edition has been thoroughly revised to reflect the latest in Python code and practices. The first half of the book includes improved coverage of topics like f-strings, constants, and managing data. In the second half, the code for the projects has been updated with better structure, cleaner syntax, and more popular and up-to-date libraries and tools, like Plotly and the latest version of Django.

If you’ve been thinking about digging into programming, Python Crash Course will get you writing real programs fast. Why wait any longer? Start your engines and code!

About the Author

Eric Matthes is a high school science and math teacher living in Alaska, where he teaches an introductory Python course. He has been writing programs since he was five years old. Eric currently focuses on writing software that addresses inefficiencies in education and brings the benefits of open-source software to the field of education. In his spare time, he enjoys climbing mountains and spending time with his family.

Python Crash Course Introduction

Excerpt. © Reprinted by permission. All rights reserved.

Who Is This Book For?

The goal of this book is to bring you up to speed with Python as quickly as possible so you can build programs that work—games, data visualizations, and web applications—while developing a foundation in programming that will serve you well for the rest of your life. Python Crash Course is written for people of any age who have never before programmed in Python or have never programmed at all.

This book is for those who want to learn the basics of programming quickly so they can focus on interesting projects and those who like to test their understanding of new concepts by solving meaningful problems. Python Crash Course is also perfect for middle school and high school teachers who want to offer their students a project-based introduction to programming. If you’re taking a college class and want a friendlier introduction to Python than the text you’ve been assigned, this book could make your class easier as well.

What Can You Expect to Learn?

The purpose of this book is to make you a good programmer in general and a good Python programmer in particular. You’ll learn efficiently and adopt good habits as I provide you with a solid foundation in general programming concepts. After working your way through Python Crash Course, you should be ready to move on to more advanced Python techniques, and your next programming language will be even easier to grasp.

In the first part of this book, you’ll learn basic programming concepts you need to know to write Python programs. These concepts are the same as those you’d learn when starting out in almost any programming language. You’ll learn about different kinds of data and the ways you can store data enlists and dictionaries within your programs. You’ll learn to build collections of data and work through those collections in efficient ways. You’ll learn to use while loops and if statements to test for certain conditions so you can run specific sections of code while those conditions are true and run other sections when they’re not—a technique that greatly helps you automate processes.

You’ll learn to accept input from users to make your programs interactive and to keep your programs running as long as the user is active. You’ll explore how to write functions to make parts of your program reusable, so you only have to write blocks of code that perform certain actions once and then use that code as many times as you like. You’ll then extend

this concept to more complicated behavior with classes, making fairly simple programs respond to a variety of situations. You’ll learn to write programs that handle common errors gracefully. After working through each of these basic concepts, you’ll write a few short programs that solve some well-defined problems. Finally, you’ll take your first step toward intermediate programming by learning how to write tests for your code so you can develop your programs further without worrying about introducing bugs. All the information in Part I will prepare you for taking on larger, more complex projects.

In Part II, you’ll apply what you learned in Part I to three projects. You can do any or all of these projects in whichever order works best for you. In the first project (Chapters 12–14), you’ll create a Space Invaders–style shooting game called Alien Invasion, which consists of levels of increasing difficulty. After you’ve completed this project, you should be well on your way to being able to develop your own 2D games.

The second project (Chapters 15–17) introduces you to data visualization. Data scientists aim to make sense of the vast amount of information available to them through a variety of visualization techniques. You’ll work with data sets that you generate through code, data sets that you download from online sources, and data sets your programs to download automatically. After you’ve completed this project, you’ll be able to write programs that sift through large data sets and make visual representations of that stored information.

In the third project (Chapters 18–20), you’ll build a small web application called Learning Log. This project allows you to keep a journal of ideas and concepts you’ve learned about a specific topic. You’ll be able to keep separate logs for different topics and allow others to create an account and start their own journals. You’ll also learn how

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Product details:

Edition	2nd Edition
ISBN	1593279280, 978-1593279288
Posted on	May 3, 2019
Format	pdf
Page Count	544 pages
Author	Eric Matthes