Learn Python Programming (2 ed)

Learn Python Programming – Second Edition: The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7 2nd ed. Edition

Build a solid foundation in coding by utilizing the language and its core characteristics.

Learn Python Programming creates a foundation for those who are interested in developing their skills in Python programming. The book starts with the fundamentals of programming with Python and ends by exploring different topics such as GUIs and real-world apps.

You will begin by exploring the foundations of and fundamental topics on Python and learn to manipulate them. Then, you'll explore different programming paradigms that will allow you to find the best approach to a situation, and you'll also understand how to carry out performance optimization as well as effective debugging.

As you make your way through the chapters, you'll control the flow of a program and persist and utilize an interchange format to exchange data. You'll also walk through cryptographic services in Python and understand secure tokens. Throughout, the book covers various types of applications, and it concludes with building real-world applications based on all the concepts that you learned.

By the end of the book, you'll have a proper understanding of the Python language and a solid grasp on how to work with data. You'll know how to quickly build a website and harness the power of Python's renowned data science libraries.

What you will learn

• Get Python up and running on Windows, Mac, and Linux
• Grasp fundamental concepts of coding using data structures and control flow
• Write elegant, reusable, and efficient code in any situation.
• Understand when to use the functional or object-oriented programming (OOP) approach.
• Walk through the basics of security and concurrent/asynchronous programming.
• Create bulletproof, reliable software by writing tests.
• Explore examples of GUIs, scripting, and data science.

Table of Contents

1. A Gentle Introduction to Python
2. Built-in Data Types
3. Iterating and Making Decisions
4. Functions, the Building Blocks of Code
5. Saving Time and Memory
6. OOP, decorators, and iterators
7. Files and Data Persistence
8. Testing, Profiling, and Dealing with Exceptions
9. Cryptography and tokens
10. Concurrent Execution
11. Debugging and troubleshooting
12. GUIs and Scripts
13. Data Science
14. Web Development