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.

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!

Learn to Code by Solving Problems is a practical introduction to programming using Python. It uses coding-competition challenges to teach you the mechanics of coding and how to think like a savvy programmer. Computers are capable of solving almost any problem when given the right instructions. That’s where programming comes in. This beginner’s book will have you writing Python programs right away. You’ll solve interesting problems drawn from real coding competitions and build your programming skills as you go. Every chapter presents problems from coding challenge websites, where online judges test your solutions and provide targeted feedback. As you practice using core Python features, functions, and techniques, you’ll develop a clear understanding of data structures, algorithms, and other programming basics. Bonus exercises invite you to explore new concepts on your own, and multiple-choice questions encourage you to think about how each piece of code works. You’ll learn how to: Run Python code, work with strings, and use variables Write programs that make decisions Make code more efficient with while and for loops Use Python sets, lists, and dictionaries to organize, sort, and search data Design programs using functions and top-down design Create complete-search algorithms and use Big O notation to design more efficient code By the end of the book, you’ll not only be proficient in Python, but you’ll also understand how to think through problems and tackle them with code. Programming languages come and go, but this book gives you the lasting foundation you need to start thinking like a programmer.

Boost your programming skills by completing fun and enthusing computing challenges. Learn how to program using HTML, CSS, JavaScript, Scratch, Python and Database software. From ""Hello World"" to complex retro arcade games, choose a challenge based on your abilities and interests. This book is targeted at both learners (from 9 to 99 years old and above) and educators (parents, teachers) who want to adopt a challenging and enthusing approach towards learning about computing concepts whilst developing their programming skills.

This book not only have put together 101 challenges in C programming ,also have organized them according to features of C programming one needs to use to solve them.This book also have ready made solutions to each of the 101 challenges .In addition ,the book also shows sample runs of these solutions so that you get to know what iutput to give and what output to expect. These Challenges would test and improve your knowledge in every aspect of C Programming.Table of contents:Chapter 1: Basic Control Flow ChallengesChapter 2: Decision Making ChallengesChapter 3: Looping Challenges Chapter 4: Function ChallengesChapter 5: Pointer ChallengesChapter 6: Recursion ChallengesChapter 7: Preprocessor ChallengesChapter 8: Array ChallengesChapter 9: Multidimensional Array ChallengesChapter 10: String ChallengesChapter 11: Structure ChallengesChapter 12: File input/output ChallengesChapter 13: Bitwise operations ChallengesChapter 14: Miscellaneous features

You Will Learn Python 3! Zed Shaw has perfected the world’s best system for learning Python 3. Follow it and you will succeed—just like the millions of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Python 3 the Hard Way, you’ll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn how a computer works; what good programs look like; and how to read, write, and think about code. Zed then teaches you even more in 5+ hours of video where he shows you how to break, fix, and debug your code—live, as he’s doing the exercises. Install a complete Python environment Organize and write code Fix and break code Basic mathematics Variables Strings and text Interact with users Work with files Looping and logic Data structures using lists and dictionaries Program design Object-oriented programming Inheritance and composition Modules, classes, and objects Python packaging Automated testing Basic game development Basic web development It’ll be hard at first. But soon, you’ll just get it—and that will feel great! This course will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful, popular programming languages. You’ll be a Python programmer. This Book Is Perfect For Total beginners with zero programming experience Junior developers who know one or two languages Returning professionals who haven’t written code in years Seasoned professionals looking for a fast, simple, crash course in Python 3

This book covers an extra selection of 101 Python challenges from the 101computing.net website. As its predecessor - 101 Python Challenges with solutions / code listing, published in 2017 - the aim of this follow up book is to help you develop and apply your programming skills by solving carefully selected challenges. The book is organised into ten chapters to progressively introduce a range of key procedural programming concepts.

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015

This book not only have put together 101 challenges in C++ programming ,also have organized them according to features of C programming one needs to use to solve them.This book also have ready made solutions to each of the 101 challenges .In addition ,the book also shows sample runs of these solutions so that you get to know what iutput to give and what output to expect. These Challenges would test and improve your knowledge in every aspect of C Programming.These challenges would test and improve your knowledge in every aspect of C++ programming.Table of contents:Chapter 1: Getting off the ground challengesi Chapter 2: The starters challengesi Chapter 3: Basic C++ challengesi Chapter 4: Class organization challengesi Chapter 5: Class constructor challengesi Chapter 6: Classes and objects challengesi Chapter 7: More classes and objects challengesi Chapter 8: Function challengesi Chapter 9: Function overloading challengesi Chapter 10: Operating overloading challengesi Chapter 11: Free store challengesi Chapter 12: Inheritance challengesi Chapter 13: Virtual function challengesi Chapter 14: Input / output challengesi Chapter 15: Template challengesi Chapter 16: Exception handling challengesi Chapter 17: STL challengesi Chapter 18: Miscellaneous challenges

Best-selling author Al Sweigart shows you how to easily build over 80 fun programs with minimal code and maximum creativity. If you’ve mastered basic Python syntax and you’re ready to start writing programs, you’ll find The Big Book of Small Python Projects both enlightening and fun. This collection of 81 Python projects will have you making digital art, games, animations, counting pro- grams, and more right away. Once you see how the code works, you’ll practice re-creating the programs and experiment by adding your own custom touches. These simple, text-based programs are 256 lines of code or less. And whether it’s a vintage screensaver, a snail-racing game, a clickbait headline generator, or animated strands of DNA, each project is designed to be self-contained so you can easily share it online. You’ll create: • Hangman, Blackjack, and other games to play against your friends or the computer • Simulations of a forest fire, a million dice rolls, and a Japanese abacus • Animations like a virtual fish tank, a rotating cube, and a bouncing DVD logo screensaver • A first-person 3D maze game • Encryption programs that use ciphers like ROT13 and Vigenère to conceal text If you’re tired of standard step-by-step tutorials, you’ll love the learn-by-doing approach of The Big Book of Small Python Projects. It’s proof that good things come in small programs!