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Learning Python

Learning Python

By : Fabrizio Romano
4.1 (21)
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Learning Python

Learning Python

4.1 (21)
By: Fabrizio Romano

Overview of this book

Learning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned.
Table of Contents (14 chapters)
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13
Index

Preface

Shortly after I started writing, a friend asked me if there really was a need of another Learning Python book.

An excellent question that we could also express in another form: What has this book to offer? What makes this book different from the average introductory book on Python?

I think there are two main differences and many good reasons why you would want to read it.

Firstly, we start with introducing some important programming concepts. We build a solid foundation by covering the critical aspects of this wonderful language.

The pace gradually increases, along with the difficulty of the subjects presented. By the end of Chapter 7, Testing, Profiling, and Dealing with Exceptions, we will cover all the fundamentals.

From Chapter 8, The Edges – GUIs and Scripts, onward, the book takes a steep turn, which brings us to difference number two.

To consolidate the knowledge acquired, there is nothing like working on a small project. So, in the second part of the book, each chapter delivers a project on a different subject. We explore scripting, graphical interfaces, data science, and web programming.

Each project is small enough to fit within a chapter and yet big enough to be relevant. Each chapter is interesting, conveys a message, and teaches something valuable.

After a short section on debugging, the book ends with a complete example that wraps things up. I tried to craft it so that you will be able to expand it in several ways.

So, this is definitely not the usual Learning Python book. Its approach is much more "hands-on" and practical.

I wanted to empower you to help you become a true Python ninja. But I also did my best to entertain you and foster your logical thinking and creativity along the way.

Now, have I answered the question?

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Learning Python
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