Learn how to program with Python from beginning to end. This book is for beginners who want to get up to speed quickly and become intermediate programmers fast!

This selection of 101 Python programming challenges is targeted at both learners and educators who want to find a challenging and enthusing approach to develop their programming skills using Python. In this book you will find a fully working solution to each of the 101 challenges in the form of annotated Python code listings. We believe that being able to work on these challenges and reverse-engineer the given code will give you a fantastic opportunity to improve your Python skills while discovering new programing techniques. This selection of challenges from the 101computing.net blog will cover all of the essential skills used in procedural programming, focusing on the key programming constructs: sequencing, selection and iteration. The 101 challenges are organised into ten chapters to help you discover and practise using a range of programming strategies using a step by step approach.

BRIDGE THE GAP BETWEEN NOVICE AND PROFESSIONAL You've completed a basic Python programming tutorial or finished Al Sweigart's bestseller, Automate the Boring Stuff with Python. What's the next step toward becoming a capable, confident software developer? Welcome to Beyond the Basic Stuff with Python. More than a mere collection of advanced syntax and masterful tips for writing clean code, you'll learn how to advance your Python programming skills by using the command line and other professional tools like code formatters, type checkers, linters, and version control. Sweigart takes you through best practices for setting up your development environment, naming variables, and improving readability, then tackles documentation, organization and performance measurement, as well as object-oriented design and the Big-O algorithm analysis commonly used in coding interviews. The skills you learn will boost your ability to program--not just in Python but in any language. You'll learn: Coding style, and how to use Python's Black auto-formatting tool for cleaner code Common sources of bugs, and how to detect them with static analyzers How to structure the files in your code projects with the Cookiecutter template tool Functional programming techniques like lambda and higher-order functions How to profile the speed of your code with Python's built-in timeit and cProfile modules The computer science behind Big-O algorithm analysis How to make your comments and docstrings informative, and how often to write them How to create classes in object-oriented programming, and why they're used to organize code Toward the end of the book you'll read a detailed source-code breakdown of two classic command-line games, the Tower of Hanoi (a logic puzzle) and Four-in-a-Row (a two-player tile-dropping game), and a breakdown of how their code follows the book's best practices. You'll test your skills by implementing the program yourself. Of course, no single book can make you a professional software developer. But Beyond the Basic Stuff with Python will get you further down that path and make you a better programmer, as you learn to write readable code that's easy to debug and perfectly Pythonic Requirements: Covers Python 3.6 and higher

I designed a learning system for myself that quadrupled my aptitude for learning computer languages. It worked so well for me that I've used it to teach coding to grandmothers, cab drivers, musicians, and 50,000 other newbies. Washington University research shows that a key teaching method I use--interactive recall practice--improves learning performance 400 percent. Computer languages are not inherently hard to understand, even for non-techies. Remembering is the problem. Research shows that you will remember everything if you're repeatedly asked to recall it. That's the beauty of flash cards. But technology offers an even better way to make information stick. With my book you get almost a thousand interactive exercises--they're free online--that embed the whole book in your memory. Algorithms check your work to make sure you know what you think you know. When you stumble, you do the exercise again. You keep trying until you know the chapter cold. The exercises keep you engaged, give you extra practice where you're shaky, and prepare you for each next step. Every lesson is built on top of a solid foundation that you and I have carefully constructed. Each individual step is small. But all the little steps add up to real knowledge--knowledge that you retain. You don't need to be a computer genius to learn Python. You just need to be smart about how you learn it.--Amazon.com description.

This easy-to-follow and classroom-tested textbook guides the reader through the fundamentals of programming with Python, an accessible language which can be learned incrementally. Features: incudes numerous examples and practice exercises throughout the text, with additional exercises, solutions and review questions at the end of each chapter; highlights the patterns which frequently appear when writing programs, reinforcing the application of these patterns for problem-solving through practice exercises; introduces the use of a debugger tool to inspect a program, enabling students to discover for themselves how programs work and enhance their understanding; presents the Tkinter framework for building graphical user interface applications and event-driven programs; provides instructional videos and additional information for students, as well as support materials for instructors, at an associated website.

Python 201 is the sequel to my first book, Python 101. If you already know the basics of Python and now you want to go to the next level, then this is the book for you! This book is for intermediate level Python programmers only. There won't be any beginner chapters here. This book is based on Python 3. You will learn about exciting topics such as working with descriptors, super, context managers, iterators and much, much more!

Python Basics: A Practical Introduction to Python 3 Your Complete Python Curriculum — With Exercises, Interactive Quizzes, and Sample Projects. Hello and welcome to Python 101: A Practical Introduction to Python 3 for Beginners. Are you ready to learn Why so many professional and hobbyist developers are drawn to Python - and How you can begin using it on your own projects, too?! This book is targeted at beginners who either know a little programming but not the Python language and its ecosystem, as well as complete beginners. If you don’t have a Computer Science degree, don’t worry. I will guide you through the important computing concepts while teaching you the Python basics. --- What should you learn about Python in the beginning to get a strong foundation? With Python 101, you will NOT only cover the core concepts you really need to know, but you will also learn them in the most efficient order - with the help of a few quizzes, practical exercises and projects. You will know enough to be good with Python, pretty fast! Who Should Read This Book? If you are new to Python, you’ll get a practical, step-by-step roadmap on developing your foundational skills. You’ll be introduced to each concept and language feature in a logical order. Every step in this curriculum is explained and illustrated with short and clear code samples. My goal with this book is to educate you, not to impress or intimidate. If you are familiar with some basic programming concepts, you will get a clear and well-tested introduction to Python. This is a practical introduction to Python that jumps right into real-world examples If you have any prior experience with languages like VBA, PowerShell, R, Perl, C, C++, C#, Java or Swift, the numerous exercises within each chapter will fast-track your progress. If you’re a seasoned developer, you’ll get a Python 3 crash course that brings you up to speed with modern Python programming. Mix and match the chapters that interest you the most and use the interactive quizzes and review exercises to check your learning progress as you go along. If you’re a self-starter completely new to coding, you’ll get practical and motivating examples. You’ll begin by installing Python and setting up a coding environment on your computer from scratch, and then continue from there. We’ll get you coding right away so that you become competent and knowledgeable enough to solve real-world problems, fast. Develop a passion for programming by solving interesting problems with Python every day! If you’re looking to break into a coding or data-science career, you’ll pick up the practical foundations with this book. We won’t just dump a boat load of theoretical information on you so you can “sink or swim” — instead, you’ll learn from hands-on, practical examples one step at a time. Each concept is broken down for you so you’ll always know what you can do with it in practical terms. If you’re interested in teaching others “how to Python", this will be your guidebook. If you’re looking to stoke the coding flame in your coworkers, kids, or relatives — use our material to teach them. All the sequencing has been done for you so you’ll always know what to cover next and how to explain it.