Author: Zen and the Art of Computer Programming
1 Introduction
With the development of the Internet, more and more people are paying attention to technology, especially technological innovations in the field of artificial intelligence. It is becoming easier and easier to implement these technological innovations by writing programs or models. As one of the most commonly used programming languages, Python, just like its name, has simple and easy-to-understand syntax, rich library functions and excellent performance. It also plays a pivotal role in the field of machine learning. Therefore, mastering Python programming skills is a must-know knowledge point for any AI engineer.
"The Beauty and Madness of Python Programming" is one of the most popular books in 2019. The author has been engaged in Python development for more than ten years, and practitioners call it "the road of programming that never ends." This book is extremely influential and has become one of the most popular introductory classics in the global technology field. This time, we will use this book to do an in-depth analysis, hoping to achieve the following goals:
Readers of this book will understand:
1. Some basic concepts in Python programming, including data types, control statements, process structures, modular programming, etc.; 2. Basic knowledge required when using Python for machine learning, including iterators, list parsing, anonymous functions, etc. ; 3. Common machine learning algorithms and their implementation processes, and comparative analysis of their advantages and disadvantages; 4. Understand the data visualization tools in Python, such as Matplotlib, Seaborn, Plotly, etc., and apply them to actual projects; 5. Understand the use of Python in large-scale Applications and prospects in data processing.
This work has broad value because:
- Python is a very interesting, practical and powerful programming language, suitable for studying the theory and practice of computer science;
- Mastering Python programming skills can make you a market-competitive AI engineer, and you can also exercise your analytical skills, logical reasoning skills, problem-solving skills and teamwork skills;
- By learning machine learning related knowledge and methods, you can