What book should a novice use to learn python?

Personally, I like Python very much. Of course, I also have many reasons to recommend you to learn python. I will only say two points. One is that it is simple, and the other is that writing python has a high salary. I think these two reasons are enough. Yes, right? Buy this book, install pycharm, and go through all the examples and exercises in the book. Then use flask, web.py and other frameworks to build a small website... perfect... (Have you asked this question? Should you learn python 2.7 or 3. Then what can you do? So there is no need to worry. When 3. Python Tutorial

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First, I personally think that "Python Learning Manual: 3rd Edition" is a better book for learning the basics of the language.

"Python Learning Manual (3rd Edition)" tells the story: Python is portable, powerful, and easy to use, making it an ideal choice for writing stand-alone applications and script applications. Whether you are new to programming or new to Python, by studying "Python Learning Manual (3rd Edition)", you can quickly and efficiently master the core Python language basics. After reading "Python Learning Manual (3rd Edition)", you will have enough understanding of this language to use it in any application field you are engaged in.

"Python Learning Manual (3rd Edition)" is written by the author based on materials from well-known training courses used in teaching over the past 10 years. In addition to many detailed instructions and summary of each chapter, each chapter also includes a brainstorming session: This is a unique part of "Python Learning Manual (3rd Edition)", with practical exercises and review questions to allow readers to practice new skills. Learn the skills and test your understanding.

"Python Learning Manual (3rd Edition)" includes:

Types and operations - in-depth discussion of Python's main built-in object types: numbers, lists, dictionaries, etc.

Statements and syntax - Enter code in Python to create and manipulate objects, as well as Python's general syntax model.

Function - Python's basic process-oriented tool for organizing code and reusing it.

Module - encapsulates statements, functions, and other tools so that they can be organized into larger components.

Classes and OOP - Python's optional object-oriented programming tools can be used to organize program code for customization and reuse.

Exceptions and Tools - Exception handling models and statements, and an introduction to development tools for writing larger programs.

Discuss Python 3.0.

"Python Learning Manual (3rd Edition)" gives you an in-depth and complete understanding of the Python language, thereby helping you understand any Python application examples you encounter in the future. If you are ready to explore why Google and YouTube chose Python, "Python Learning Manual (3rd Edition)" is the best guide for you to get started.

The second one, "Python Basics Tutorial (2nd Edition·Revised Edition)"

is also a classic Python introductory tutorial with clear layers, rigorous structure and informative content. , especially in the last few chapters, the author applies the previously described content to 10 fascinating projects, and introduces the project development process in the form of a template, teaching Python development step by step, allowing readers to appreciate the true charm of Python from the projects. This book is not only suitable for beginners to lay a solid foundation, but also helps Python programmers improve their skills. Even technical experts in Python can find refreshing content in the book.

The third "Learning Python the "Stupid Way" (3rd Edition)"

is an introductory book to Python, suitable for those who don’t know much about computers and have not learned Used by beginners who are not familiar with programming but are interested in programming. The structure of this book is very simple, covering the three topics of input/output, variables and functions, as well as some more advanced topics, such as conditional judgment, loops, classes and objects, code testing and project implementation, etc. The format of each chapter is basically the same, starting with a coding exercise, following the instructions to write the code, running it and checking the results, and then doing additional exercises. This book guides readers to learn programming step by step in the form of exercises, from simple printing to the realization of a complete project, allowing beginners to start with basic programming techniques and finally experience the basic process of software development.

[Evaluation by Daniel] The hardway (stupid method) is more suitable for starting programming, and it is quite good as an introduction to Python.

Fourth, here I would like to recommend the last book "Collective Intelligence Programming" to everyone

This book takes machine learning and computational statistics as the theme background, and specifically tells how to Mining and analyzing data and resources on the Web, how to analyze user experience, marketing, personal taste and many other information, and draw useful conclusions, and use complex algorithms to obtain, collect and analyze user data and feedback information from Web sites , in order to create new user value and business value.

The book contains detailed content, including collaborative filtering technology (to realize related product recommendation function), cluster data analysis (to discover similar data subsets in large-scale data sets), and core search engine technologies (crawlers, indexes, query engines, PageRank algorithms etc.), optimization algorithms for searching massive information and analyzing statistics to draw conclusions, Bayesian filtering technology (spam filtering, text filtering), using decision tree technology to achieve prediction and decision modeling functions, information matching technology for social networks, Machine learning and artificial intelligence applications, etc.

This book is an excellent choice for web developers, architects, application engineers, etc.

"Awesome! For developers who are new to learning these algorithms, I can't think of a better choice than this book, and for old people like me who have studied Al, I I can't think of a better way to review the details of this knowledge."

——Dan Russell, Senior Technical Manager, Google

"Toby's book It has very successfully broken down the complex topic of machine learning algorithms into practical and easy-to-understand examples. We can directly use these examples to analyze the current social interactions on the Internet. If I had read it two years earlier This book will save a lot of precious time and avoid so many detours."

——Tim Wolters, CTO, Collective Intellect

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