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foreword
Python is a versatile language. It is often used as a scripting language for web applications, embedded in software products, and artificial intelligence and system task management train grabbers . It's simple yet powerful, perfect for both beginners and professional programmers.
This site has selected 51 high-quality Python books. It covers a wide variety of books, including for beginners, intermediate and advanced programmers, and also for special fields, for example, focusing on writing Python games, with excellent reputation in the Python world... most importantly What's more, all the books inside are available for free download.
Python Core Programming Third Edition (Chinese Edition)
Python core programming third edition Chinese version PDF, python advanced tutorial, including regularization, network programming, database programming, GUI, Django, crawler, cloud computing assumptions, etc.
Python is an uncomplicated but sound programming language. It not only has the powerful functions and complexity of traditional compiled programming languages, but also has the ease of use of simpler scripting and interpreted programming languages to some extent. The book introduces readers to the core of the language and shows what can be done with the Python language. Its main contents include: syntax and programming style, objects of Python language, Web programming, execution environment, etc. The book is clear and easy to understand, and it is the best textbook and reference manual for learning the Python language. , the attached CD includes the latest three versions of the Python language and the sample code in the book.
Python Study Manual 4th Edition (Chinese Edition)
Google and YouTube have adopted PythonF due to its high adaptability, ease of maintenance, and suitability for rapid development. "Python Learning Handbook (4th Edition)" will help you use Python to write high-quality, efficient code that is easy to integrate with other languages and tools. "Python Learning Handbook (4th Edition)" is written according to the famous training course of Python expert Mark Lutz. It is an easy-to-master and self-study Python tutorial.
Each chapter of "Python Learning Handbook (4th Edition)" explains the key content of the Python language separately, and is equipped with chapter exercises, so that you can learn new skills and consolidate and deepen your understanding. The book is equipped with a large number of annotated examples and diagrams, which will help you learn Python 3.0 easily.
Learn Python's main built-in object types: numbers, lists, and dictionaries. Use Python statements to create and manipulate objects, and learn Python's general syntax model. Construct and reuse code using functions, the fundamental procedural tool of Python. Learn about Python modules: Encapsulate statements, functions, and other tools to build larger components. Learn Python's object-oriented programming tools for organizing program code. Learn about the exception handling model, and development tools for writing larger programs. Learn about advanced Python tools such as decorators, descriptors, metaclasses, Unicode handling, and more.
Python Algorithms Tutorial
Python is an object-oriented, interpreted computer programming language with a wide range of applications, including data analysis, natural language processing, machine learning, scientific computing, and recommendation system construction.
The Python algorithm tutorial uses the Python language to explain the analysis and design of algorithms. This book focuses mainly on classical algorithms, but at the same time it will lay a good foundation for readers to understand basic algorithmic problems and solve problems. The book has 11 chapters in total. Trees, graphs, counting problems, inductive recursion, traversal, decomposition and merging, greedy algorithms, complex dependencies, Dijkstra's algorithm, matching and cutting problems, and difficult problems and their dilution are introduced respectively. This book has exercises and reference materials at the end of each chapter, which provides more convenience for readers' self-examination and further study. At the end of the book, hints of practice questions are given, which is convenient for readers to check for omissions and fill in vacancies.
The concepts and knowledge points of this book are clearly explained and the language is concise. This book is suitable for reading and self-study by junior and middle-level users who are interested in Python algorithms, and it is also suitable for computer students in colleges and universities to read as a reference textbook.
Programming Xiaobai's first Python introductory book
In order to allow more programming beginners to easily start programming, this book is written by combining the efficient learning method with the core knowledge in Python. Flip through a few pages at will, and you will find that this book is different from other programming books. There are a large number of visual scenes to help you understand concepts, interspersed with a number of interesting small projects, and most importantly, this book is for programming. Designed for zero-based beginners.
Since I can't learn Python in a stupid way, I decided to learn it in a smart way and create a shortcut for myself. The core of this effective learning method lies in:
1. Simplify: learn the most core key knowledge;
2. Understanding: Use analogy and visualization methods to understand these core knowledge;
3. Practice: After building your own knowledge system, gradually improve the knowledge system through practice.
Do not write a dictionary-style knowledge system. Some programming books are like dictionaries, covering all kinds of trivial knowledge. Just as children should not be allowed to learn Chinese with a dictionary, nor should beginners be allowed to learn programming with such a thick book. In Chinese, mastering the common 1500-2000 characters can understand 80% of the text. In programming, there is also the core key knowledge. Using these key knowledge to build your knowledge system first will speed up the learning efficiency, which is a better way to learn than drilling into various details at the beginning. This is what simplification means.
Write a web crawler in Python
Web crawling technology is becoming increasingly useful as a convenient way to collect and extract usable information from the web. Using a simple programming language like Python, you can scrape complex websites with minimal programming skills.
"Write a Web Crawler with Python" serves as an excellent guide to crawling web data using Python, explaining how to scrape data from static pages and how to use caching to manage server load. Plus, this book covers how to scrape data using AJAX URLs and Firebug extensions, and more truths about scraping techniques like using browser rendering, managing cookies, and submitting forms from complex websites protected by captchas. Extract data etc. This book uses Scrapy to create an advanced web crawler and crawls some real websites.
"Writing Web Crawlers with Python" introduces the following content:
Crawl websites by following links;
Use lxml to extract data from the page;
Build threaded crawlers to crawl pages in parallel;
Cache downloaded content to reduce bandwidth consumption;
Parse websites that rely on JavaScript;
interact with forms and sessions;
Solve the captcha problem of protected pages;
Reverse engineer AJAX calls;
Use Scrapy to create advanced crawlers.
This book is written for developers who want to build reliable data scraping solutions. This book assumes that readers have some experience with Python programming. Of course, readers with other programming language development experience can also read this book and understand the concepts and principles involved in the book. Are the above five selected textbooks enough? If it is not enough, take the following dozens of Python learning materials together! This is all the inventory at the bottom of the pressure box that this site has collected over the years...
Recommend several high-quality Python books
1. Think Python Like a Computer Scientist
This book aims to train readers to understand Python language programming in the same way of thinking as a computer scientist. This is a practical study guide, suitable for programmers who have no experience in Python programming. Compared with the first edition, the second edition of this book, Made many updates, upgrading the programming language from Python 2 to Python 3
2、《Dive Into Python 3》
This book is a practical guide to the Python language. Each chapter starts with a real, complete code, then explains it and analyzes it, and finally concludes with a summary. The content covers Python 3 and its differences from Python 2.
3. "Python Programming Quick Start"
This book is a practical guide to programming in Python. The purpose of this book is not only to introduce the basic knowledge of Python language, but also to teach readers how to apply these knowledge and skills through project practice.
4. "Smooth Python"
The best advanced Python book in 2017. This book is written by Luciano Ramalho, who has been working in the front line of Python development for nearly 20 years. Victor Stinner, Alex Martelli and other Python masters are the technical reviewers. It analyzes programming details from the language design level, taking into account Python 3 and Python 2, tell you the causes and solutions of language traps in Python that you cannot understand without practicing them yourself, and teach you to write authentic Python code.
5. "Python Cookbook Chinese Edition"
This book covers many common problems in Python applications and proposes common solutions. The book contains a lot of practical programming skills and sample codes, very suitable for Python programmers with a certain programming foundation to read
6. "Python Programming: From Getting Started to Practice"
This book is an introductory book on Python for all levels of Python readers. It combines theory and practice. The first part is basic knowledge, and there are practical projects in the back to help you better use this knowledge.
7. "Python Natural Language Processing"
This book provides an easy-to-follow introduction to natural language processing, which covers a variety of language processing techniques, from predictive filtering of text and emails, to automatic summarization and translation. This book has been updated for Python 3 and NLTK 3, and it's packed with examples and exercises to help you:
8. "Python Game Programming Quick Start"
This book teaches Python programming by writing small and interesting games, and uses the method of directly showing the source code of the game and explaining the principles of programming through examples.
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The lowest cost of making money in the world is: invest in the brain with knowledge
It is never too late to learn in life, what is late is that you have always wanted to learn but have not acted, which leads to a lot of internal friction
Finally, I wish you a happy study
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