Learning Python : learn to code like a professional with Python--an open source, versatile, and powerful programming language

✍ Scribed by Romano, Fabrizio

• Publisher: Packt Publishing Limited
• Year: 2015
• Tongue: English
• Leaves: 606
• Series: Community experience distilled
• Category: Library

✦ Synopsis

"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 introductory and advanced topics are explained. 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 application, and it concludes with a complete mini website built using all the concepts that you learned." -- Read more...

Abstract: "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 introductory and advanced topics are explained. 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 application, and it concludes with a complete mini website built using all the concepts that you learned."

✦ Table of Contents

Content: Preface --
Chapter 1: Introduction and first steps--take a deep breath --
Chapter 2: Built-in data types --
Chapter 3: Iterating and making decisions --
Chapter 4: Functions, the building blocks of code --
Chapter 5: Saving time and money --
Chapter 6: Advanced concepts--OOP, decorators, and iterators --
Chapter 7: Testing, profiling, and dealing with exceptions --
Chapter 8: The edges--GUIs and scripts --
Chapter 9: Data science --
Chapter 10: Web development done right --
Chapter 11: Debugging and troubleshooting --
Chapter 12: Summing up--a complete example --
Index.

✦ Subjects

Python (Computer program language)