50 Steps to Mastering Basic Python Programming Second Edition

Download or read book 50 Steps to Mastering Basic Python Programming Second Edition written by Steven Shaffer and published by . This book was released on 2020-02-29 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming is fast becoming a basic literacy. Software is pervasive in society and therefore it is needed in virtually every occupation. But for some people, programming feels very unnatural; that's where this book comes in! This book is written in a step-by-step, tutorial style that makes programming available to pretty much anyone who cares to take the time to learn. It's the result of years of experience and research into teaching introductory programming. You can start using this book right away, without buying anything else and without having to install anything on your computer. Within a few days, you will understand the basics of how computer programs work. The "50 steps" method used here gives you a step-by-step incremental approach that makes the journey much easier. This book also gets right to the point when discussing new concepts. Many students complain that programming books are too explanation-heavy. Just like when you learn a foreign language, the best way to learn to program is to dive right in. So, the book is designed to get you programming right away with step-by-step examples. Free 6-month use of videos and the learning software are included when the book is purchased new. These items are specifically designed to work with this book and to help you learn the material as quickly and thoroughly as possible. This is not a book for experienced programmers; the focus is on introductory concepts using Python as the target language. If you are an experienced programmer, you will find this book tedious. For those of you who are novices at programming, this is the book for you! When you're finished with this book, the world of programming will be opened up for you, and you can continue in many directions: data science, app development, etc.