Essentials of Python A Lunchtime Learning Guide

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Free Download Essentials of Python A Lunchtime Learning Guide: Master the Programming Skills Needed in the Age of Generative AI, like ChatGPT, Efficiently and Effectively by Tak TAKAMIYA
English | June 1, 2024 | ISBN: N/A | ASIN: B0D5WJ5FW8 | 96 pages | EPUB | 1.38 Mb
"Essentials of Python A Lunchtime Learning Guide" is a book designed for individuals with programming experience, aiming to help them learn the fundamentals of Python efficiently in a short period. With the emergence of generative AI, such as ChatGPT, the role of programming is undergoing a transformation. Previously, the ability to understand a language inside out and write code from scratch, known as "output power," was considered the benchmark for programming proficiency. However, generative AI can now handle the "0 to 1" part of the process. Instead, humans need to focus more on "input power," the ability to understand written source code, and "analytical power," the ability to validate the code's validity.

This book is tailored to this new programming style, aiming to help readers acquire the minimum knowledge required to get started with Python in the shortest possible time. The primary focus is on skimming through the source code, understanding the overall structure and connections, and grasping the program's behavior.
Chapter 1 covers the fundamental knowledge that forms the foundation for understanding Python, including basic syntax, data types, variables, and control structures. Chapter 2 provides a detailed explanation of functions, including function definition and invocation, arguments and return values, lambda expressions, and module utilization. Chapter 3 delves into the basics of object-oriented programming, covering class syntax, principles of object-oriented programming, inheritance, and polymorphism. Chapter 4 explores the manipulation of lists, tuples, dictionaries, sets, comprehensions, and data serialization. Finally, Chapter 5 touches on topics not covered in the book, the importance of libraries, and the application of Python in data analysis, machine learning, and web application development, providing guidance for future learning.

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