• Python 3
Reading time
  • Approximately 54 days
What you will learn
  • Programming Basics and Python Syntax
  • Games
  • Numerical Programming and Data Mining
  • Web Scraping
  • Web Development
  • Eric Matthes
  • 3 years ago
Packages you will be introduced to
  • pygame
  • matplotlib
  • pygal
  • requests
  • django
  • plotly

Official description

This is the second edition of the best selling Python book in the world. Python Crash Course, 2nd Edition is a straightforward introduction to the core of Python programming. Author Eric Matthes dispenses with the sort of tedious, unnecessary information that can get in the way of learning how to program, choosing instead to provide a foundation in general programming concepts, Python fundamentals, and problem solving. Three real world projects in the second part of the book allow readers to apply their knowledge in useful ways.

Readers will learn how to create a simple video game, use data visualization techniques to make graphs and charts, and build and deploy an interactive web application. Python Crash Course, 2nd Edition teaches beginners the essentials of Python quickly so that they can build practical programs and develop powerful programming techniques.


There are 1 reviews for this book on GitHub.
rfreiberger left a review on GitHub 4 years ago.

⭐️ ⭐️ ⭐️ ⭐️ ⭐️ Best balance between intro and core software development skills

I'm no Python expert or software developer by trade, my experience with programming is mostly from college and short hacks for work. When I started to explore Python, the most recommended book was "Python the hard way" which taught you a great depth of Python but I really didn't understand the writing style of the book. Felt like it was very much directed towards doing repeat exercises without fundamentals, think of this like being told how to use a hammer, but I never tell you why to use a hammer or another tool. Towards the end of the book, I lost interest and moved to other Python books searching for something that expanded the core of Python but also was easy enough to grasp.

After buying books and reading reviews, I stumbled across Python Crash Course simply because No Starch was having a sale and I picked up the book as one of its early releases. At first, it comes off like every other Python book for new coders, very entry level, you print foo so many times, I'm sure you know how this goes. But as I read further, the examples given were clearly driven through each chapter. An example of this is the chapter on dictionaries, something which I never used before in Python beyond copy/type coding. The chapter gives you a good intro, plenty of examples, and finally, the end of the chapter questions are logic but also tough (in fact some I had to resort to friends at work for help).

One of the benefits of this book is that it teaches you why to use a Python feature or module, instead of just telling you to use it. This is like someone showing you how to use a box full of tools instead of telling you how to build a bird house. Once you build the bird house, you may get stuck on your next project since the core concepts of Python are not well understood. This is where I see many people get stuck after finishing a book, they don't know how to do the next challenge.

Something I like to also address is that many "beginner" books for Python are divided into two sections, either they are focused for a seasoned software developer who is entering the Python world, or they are written for someone who never used a computer before. This might sound harsh, but I've read so many beginner Python books that start at the very basic and never move beyond creating loops or very very basic examples. Then, on the other hand, some intro to Python books jump you right into classes and object oriented programming. Python Crash Course is why I would call the best mix of leveling you up from having some programming experience to someone who could understand why testing and oop programming styles are used in the real world.

This book helped me understood how to use unit testing in Python which I really struggled with for many years and helped me teach my team how to use this as well. That alone was worth the price of the book.

The only area I cannot comment much on is the projects part of the book which I haven't completed yet. Briefly reading the chapters they focus on helpful projects which I believe could have work place benefits (something nice as you learn and also help build tools or reports for work). The only issue I had with this book is the range of chapter quizes varied greatly in their difficulty, in some cases making me restort to checking the Internet. Other than that, I still think that this is the best book for the money, and the best book for anyone who wants to get started into Python programming with a small amount of previous programming experience.

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