python programming from beginner to proficient book, python programming teaching introductory tutorial

Hello everyone, the editor is here to answer the following questions for you, python programming from entry to mastering book, python programming teaching introductory tutorial, let us take a look today!

It has to be said that Python is still the best programming language. It is widely used in the fields of machine learning and data science. It can not only do data analysis, program development, but also develop games, and has a great role in the field of artificial intelligence. A major breakthrough, becoming a widespread programming language.

There are still many books on Python learning on the market. You can refer to two points when choosing:

  1. Whether the book is suitable for you or not, you have to choose it in a targeted way.
  2. Try to choose classic textbooks that are highly recognized in this field.

I have compiled some of the more practical Python books currently available, let’s take a look together!

Python introductory series

"Python Programming from Introduction to Practice"

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The best-selling Python programming book is also a book suitable for beginners to get started. Fast Code Paper .

I personally recommend this book, which includes two parts: basic knowledge and projects. The basic part introduces basic programming concepts, and the practical part introduces how to use the newly learned knowledge to develop feature-rich projects: the 2D game "Alien Invasion", data Visualization in practice, Web applications.

I like that its writing is logical and smooth, and the content explanations in the book are also relatively detailed and concise. From the perspective of a programming novice, it is an excellent introduction . Each summary is accompanied by a "try it yourself" link.

From programmers with basic programming skills to teenagers, this book is a good choice for everyone who wants to get started.

"Learning Python the Hard Way"

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A must-have book for getting started with programming, suitable for readers who don't know much about computers and have never learned programming, but are interested in programming.

This book guides readers to learn programming step by step in the form of exercises, from simple printing to the implementation of a complete project. Starting from small examples one by one, it not only teaches you how to write Python code, but also programming skills.

Let beginners start with basic programming techniques and finally experience the basic process of software development. It mainly trains the thinking of learning Python and pays more attention to practicality.

"Python Learning Manual"

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This is another very classic introductory book, written based on the famous training course of Python expert MarkLutz. It is an easy-to-master and self-study Python tutorial.

Each chapter in the book is equipped with chapter exercises. Study first, then practice, so that you can consolidate the foundation with practical exercises in time after study.

The famous Google and YouTube both adopted Python because of its high adaptability, ease of maintenance, and suitability for rapid development.

"Concise Python Tutorial"

Screenshot of part of the e-book content

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This book is a basic introductory Python textbook. If the newbie’s understanding of computer knowledge is limited to how to save text files, then this book is prepared for you.

The basic content is basically covered, and there is no in-depth entanglement with the advanced content.

If you have learned other languages ​​before and want to learn Python again, you can directly read "A Concise Python Tutorial" because it is really concise and has no nonsense.

"Python Basics Tutorial"

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If you don’t have any programming foundation , it is recommended to start learning by reading the first book "Python Programming from Introduction to Practice" before choosing this as your second Python book.

The 10 projects in the last few chapters of the book are the biggest highlight of this book, which are not only practical but also well explained.

As a python or as a language tutorial book, this is a good book! The following examples provide a quick and good understanding.

"Beginner's Guide to Python Programming"

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The language of this book is very lively. Not only can you learn the knowledge of Python, but it can also cultivate your interest in programming, using games as a guide and entry point.

The book has 12 chapters in total, and each chapter uses a complete game to demonstrate key knowledge points;

And learn programming by writing fun small software to arouse readers' interest and reduce the difficulty of learning. At the end of each chapter, the knowledge points of the chapter will be summarized.

Python advanced series

"Python Core Programming"

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This is an advanced book on Python, simple but covering some basic libraries used in development;

Mainly divided into three parts:

Part 1 explains some common applications of Python, including regular expressions, network programming, Internet client programming, multi-threaded programming, GUI programming, etc.;

Part 2 explains things related to Web development, including Web clients and servers, Django Web framework, cloud computing, etc.

Part 3 is a supplementary/experimental chapter, including text processing and some other content.

This book is suitable for Python developers with certain experience.

"Fluent Python"

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The main purpose of recommending this book is to focus on explaining the basic idioms of this language, making your code concise, efficient and readable, and turning you into a skilled Python programmer.

For intermediate and advanced Python programmers who want to expand their knowledge, this book is a treasure trove of practical programming tips!

The book analyzes programming details from the language design level, taking into account both Python 3 and Python 2. It also has a large number of detailed code examples, as well as high-quality references and video links related to the topic.

"Python High Performance Programming"

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The book has 12 chapters in total, explaining in detail how to optimize code and speed up the running speed of practical applications.

Mainly includes the following topics: background knowledge of computer internal structures, lists and tuples, dictionaries and sets, iterators and generators, matrix and vector calculations, concurrency, clusters and work queues, etc.

Finally, a series of real cases demonstrate issues that need attention in application scenarios.

This book is suitable for beginners and intermediate Python programmers, as well as readers who have a certain foundation in Python language and want to advance and improve.

"Advanced Programming with Python" 2nd Edition

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Through the content of 13 chapters, the advanced skills of Python programming are revealed in depth;

Starting from the current status of the Python language and its community, it will introduce important topics such as Python syntax, naming rules, Python package writing, deployment code, extension development, management code, document writing, test development, code optimization, concurrent programming, design patterns, etc. A comprehensive and systematic explanation was given.

It is suitable for readers who want to further improve their Python programming skills, and is also suitable for reference learning by readers who are interested in Python programming.

The whole book combines typical and practical development cases to help readers create high-performance, reliable and maintainable Python applications.

Python crawler series

"Python Network Data Collection"

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If you use Python3 to write crawlers, I highly recommend this book . It should be the most systematic and complete introduction to Python crawlers.

The content of the book is very up-to-date and systematic, from beautifulSoup, requests to ajax, image recognition, and unit testing. It is much better than the scattered tutorials on most blogs.

After reading the book, you can do some practical projects. At this time, you can go to github to find similar projects for reference.

"Python3 web crawler development practice"

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Mainly introduces how to use Python 3 to develop web crawlers;

The book first introduces environment configuration and basic knowledge, and then discusses urllib, requests, regular expressions, Beautiful Soup, XPath, pyquery, data storage, Ajax data crawling, etc.

Then it introduces how to implement data crawling in different scenarios through multiple cases, and then introduces the pyspider framework, Scrapy framework and distributed crawlers.

This book is suitable for Python programmers to read.

"Mastering the Python crawler framework Scrapy"

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Scrapy is a fast, high-level screen scraping and web scraping framework developed in Python for scraping web sites and extracting structured data from pages.

Based on Scrapy version 1.0, it explains the basic knowledge of Scrapy and how to use Python and third-party APIs to extract and organize data to meet your own needs.

This book has 11 chapters in total, covering the basic knowledge of Scrapy;

Understand HTML and XPath, install Scrapy and crawl a website, use the crawler to populate the database and output to the mobile app, the power of the crawler, deploy the crawler to the Scrapinghub cloud server, Scrapy configuration and management, Scrapy programming, pipeline tips, understanding Scrapy performance, distributed crawling using Scrapyd with real-time analytics.

The appendix of this book also provides installation and troubleshooting of various software;

"Mastering Scrapy Web Crawler"

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This book provides an in-depth and systematic introduction to related technologies and usage techniques of Scrapy, a popular Python framework;

The book has a total of 14 chapters, which can be logically divided into two parts: basic and advanced. The basic part focuses on the core elements of Scrapy, such as spider, selector, item, link, etc.;

The advanced chapter explains advanced topics of crawlers, such as login authentication, file downloading, executing JavaScript, dynamic web crawling, using HTTP proxy, writing distributed crawlers, etc.

And cooperate with the project case explanation, including websites for practice, as well as *, Zhihu, Douban, 360 crawler cases, etc.

It is rich in cases, focuses on practice, and has detailed code comments. It is suitable for readers who have a certain foundation in Python language and want to learn to write complex web crawlers.

"The Definitive Guide to Python Web Crawling" 2nd Edition

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The content of the book is divided into two parts,

The first part provides an in-depth explanation of the basic knowledge of web scraping, focusing on the application of Python libraries such as BeautifulSoup and Scrapy.

The second part introduces topics related to web crawler writing, as well as various data scraping tools and applications, helping you to delve into every corner of the Internet, analyze raw data, obtain the stories behind the data, and easily solve various web scraping problems you encounter. Take questions.

The second edition has been fully updated, with new chapters on web crawler models, Scrapy, and parallel web crawling.

"Python Network Programming" 3rd Edition

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This book is aimed at technicians who want to gain a deeper understanding of using Python to solve network-related problems or build network applications.

Classic topics such as network protocols, network data and errors, email, server architecture, HTTP and Web applications are explained with examples.

Specific content includes: a comprehensive introduction to the latest SSL support in Python3, the writing of asynchronous I/O loops, using the Flask framework to configure URLs in Python code, the principles and protection methods of cross-site scripting and cross-site request forgery attacks on websites, etc.

【Conclusion】

To learn programming, just reading books is not enough. More importantly, you need to practice more, and project practice is better. Starting from actual application scenarios, use programs to solve some complicated problems at hand, so as to strengthen your application of programming languages.

Bonus: If you are interested in Python, the above-mentioned e-books + a complete set of Python learning materials are given for free, and you can collect them at the end of the article.

For beginners with 0 basics to get started:

If you are a novice and want to get started with Python quickly, you can consider it.
On the one hand, the learning time is relatively short and the learning content is more comprehensive and focused. The second aspect is that you can find a study plan that suits you

Including: Python permanent installation package, Python web development, Python crawler, Python data analysis, artificial intelligence, machine learning and other learning tutorials. Let you learn Python systematically from scratch!

Introduction to zero-based Python learning resources

1. Learning routes in all directions of Python

The Python all-direction route is to organize the commonly used technical points of Python to form a summary of knowledge points in various fields. Its usefulness is that you can find corresponding learning resources according to the above knowledge points to ensure that you learn more comprehensively.
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2. Python learning software

If a worker wants to do his job well, he must first sharpen his tools. The commonly used development software for learning Python is here!
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3. Python introductory learning video

There are also many learning videos suitable for beginners. With these videos, you can easily get started with Python~Insert image description here

4. Python exercises

After each video lesson, there are corresponding exercises to test your learning results haha!
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5. Python practical cases

Optical theory is useless. You must learn to type code along with it and practice it in order to apply what you have learned into practice. At this time, you can learn from some practical cases. This information is also included~Insert image description here

6. Python interview materials

After we learn Python, we can go out and find a job if we have the skills! The following interview questions are all from first-tier Internet companies such as Alibaba, Tencent, Byte, etc., and Alibaba bosses have given authoritative answers. I believe everyone can find a satisfactory job after reviewing this set of interview materials.
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7. Data collection

The complete set of Python learning materials mentioned above has been uploaded to CSDN official. Friends who need it can scan the CSDN official certification QR code below on WeChat and enter "receive materials" to get it for free! !

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Origin blog.csdn.net/mynote/article/details/133494154