"Your First Python Program" is a beginner's guide to the Python programming language. This book is written for readers with varying degrees of programming experience to give them a firm grasp of Python and its fundamentals. We care about your time, so we worked hard to condense and optimize the content so you can learn Python as quickly as possible. We explain each topic and then put it into practice right away by showing you code examples. At the end of this book, we hope you will see Python as a powerful tool whose potential can lead you down many different career routes, including but not limited to analytics, data engineering, data science, visualization, statistics, web development, microservices, and more.
Python has become extremely popular among both beginners and experienced developers in recent years, thanks to its ease of use, readability, and versatility. As an interpreted, high-level, general-purpose programming language, Python is used in a wide range of fields such as web development, data analysis, AI, and scientific data processing.
Data types, control flow, functions, modules, and file manipulation are only some of the fundamentals of Python covered in this book. Object-oriented programming, libraries, and frameworks including NumPy, pandas and matplotlib. We'll also look at Flask, Django, PyQt, and Tkinter, even though they're not covered in detail in this book. There is also a Github repository for you to clone and explore, it has examples you can experiment and learn with.
This book makes no assumptions about the development environment in which you'll be working. You can use it in a Mac, Linux, or Windows environment without making many adjustments. So that the time you spend reading isn't wasted, we worked hard to condense and optimize the content so you can learn Python as quickly as possible. We explain each topic and then put it into practice right away by showing you code examples.
At the end of this book, we hope you will see Python as a powerful tool whose potential can lead you down many different career routes, including but not limited to analytics, data engineering, data science, visualization, statistics, web development, microservices, and more. Our overarching goal in authoring these pages is to pique your interest and give you a firm grasp of the fundamentals so that you can pursue more specialized applications later on. I appreciate you letting me share in your initial steps, and I hope they are successful ones.