Where do you begin while learning Python?

How would you make your first Python program?

From the outside, learning programming may appear to be intimidating, but this is far from reality, especially if you're working with Python! As a result, we'll learn all there is to know about Python and coding in general in this book.

We’ll take you on a voyage where we'll venture deep into the woods (not the real woods) to learn about Python. You'll be taken aback by the fundamentals of our computers' bits and bytes by creating an application!

Readers are the focus of the book's design and writing. The book begins with short chapters that make it simple to get started. We will not, as is customary, jump right into programming; instead, we will learn basic data and coding in general to create a seamless learning experience.

Deep learning has strengthened the whole area of machine learning due to several recent breakthroughs.
This easy-to-follow guide will teach you:

• Python Basics – Built-in Data Types
• OOP Concepts
• List and Built-in Functions
• File and Exception Handling
• Data Science and Python
• Python and Game Development
• Scripting and GUI
• Python and Web Development

This book helps you understand the principles and methods for constructing intelligent systems by utilizing straightforward examples, minimal theoretical, two manufacturing Python guidelines, and Tensor Flow.

You'll study various strategies starting with simple logistic regression and moving to deep neural networks. To get started, everything you need is coding expertise and the exercises for each chapter to assist you in applying what you've learned.

For better comprehension, each idea is explained with a relevant use case. Rather than long words, information is given intuitively with visuals and graphics that ensure that learning is enjoyable. Keeping the writing simple to read while providing the necessary information.

So take a look at this book and see it for yourself!