Python QuickStart Guide: The Simplified Beginner's Guide to Python Programming Using Hands-On Projects and Real-World Applications - Robert Oliver

Learn Python fundamentals that can be used in any programming setting - use the guidance in this book to program your own game in a unique and practical Python learning experience. Learning Python opens the door to a world of programming possibilities. \n Python powers the services of household names like Google, Netflix, and Spotify along with tech pioneers like NASA, IBM, and Intel. Put simply, Python is the in-demand and easy-to-learn programming language that gets stuff done. \n It doesn't matter if you are a new or existing programmer, a job seeker looking for a career change or promotion, or just someone who wants to learn how to automate basic tasks with Python-Robert's step-by-step approach, complete with a hands-on companion Python game project, is the perfect starting point to master Python fundamentals! \n Python QuickStart Guide is Perfect for: New or experienced programmers looking to enhance their career opportunities with an in-demand programming language Job seekers who want to supercharge their resumes and increase their value in the job marketplace Students or recent college grads who have their sights set on a lucrative position in the tech industry Full stack developers or programmers who need to round out their programming skills to take on new projects Coding or programming bootcamp students looking for supplemental learning material Anyone who wants to explore the world of programming, use Python to automate tedious tasks, or enhance their resume and future-proof their skills! \n You Will Learn How to Use Python - Practical Examples, Code Snippets, Plus Follow Along to Code Your Own Game! Python Fundamentals - How to Use Python for Web Design and Interfacing with GitHub, SQL, and Other Applications Object-Oriented Programming Principles - Managing Data, Scripts, Logic, Inputs, Outputs, and More! Programming Essentials - Debugging, Producing Clean Code, Best Practices, Time-Savers, and Tips Python Next Steps -Testing, Optimization, Speed Improvements, Integrations with Other Applications, and More!