Hands-on Python Programming for Beginners: Learn Practical Python Fast

Hands-on Python Programming for Beginners — Learn Practical Python FastAre you ready to learn the essential concepts of practical Python fast?
Python is so popular today because writing programs in this language is easy. You’ll miss out if you fail to add Python knowledge to your arsenal. However, with this book, you can start coding in this language immediately—right now and right here.
Hands-on Python Programming for Beginners: Learn Practical Python Fast presents you with a hands-on, easy approach to learn practical Python fast.

How Is This Book Different?
The best way you can learn Python is by doing. It’s scientifically proven that practical learning has a profound impact on learners. Doing things practically, in fact, improves your learning experience. Practical learning also improves your understanding of Python concepts in a better way compared to just listening to lectures.

If your knowledge of Python and coding is minimal, this book is perfect for you. The reason is this learning by doing book will teach you all the practical skills that truly matter. This easy-to-follow Python book is nicely packaged with many extras: Python codes, exercises, references, and PDFs on the publisher’s website.

The extra learning materials will improve your learning experience. The book is divided into 13 chapters that include a lot of exercises with answers to practice. Examples are also included to explain complex concepts. The content is organized step by step to help you learn how to code in Python the correct way. The author has worked systematically to help you write better Python code.

You start with the installation of Python in the first chapter itself. And at the end of this chapter, you learn to write your first program in Python. Jumping straight to Python makes it easier for you to follow along. Plus, right through this book, Jupyter Notebook is used to write as well as explain the code. You are provided easy access to the datasets used in this book to facilitate quick learning.
You also work on three hands-on mini-projects:

• A Simple GUI-Based Calculator in Python
• Alarm Clock with Python
• Hangman Game in Python

The graphs, images, and scripts are clear and present you with easily understandable visuals to the text description. This book is a great option for self-study, even if you’re at the level of an intermediate learner.
Overall, you can trust this learning by doing book to help you accomplish your Python career goals faster.
The topics covered include:

• Environment Setup and Writing Your First Program in Python
• Python Variables and Data Types
• Python Operators
• Decision Making and Iteration Statements in Python
• Functions in Python
• Object-Oriented Programming with Python
• Exception Handling with Python
• Reading and Writing Data from Files and Sockets
• Regular Expressions in Python
• Some Useful Python Modules
• Creating Custom Modules in Python
• Creating GUI in Python
• Python Libraries for Data Science: NumPy, Pandas, and Matplotlib