Today I have prepared 5 introductory Python books for you. In addition to the books, the editor has also compiled 3 commonly used resource websites to share with you.
1. Python Basic Tutorial
"Python Basic Tutorial" is a classic Python introductory tutorial book. This book It has clear layers and rigorous structure. Especially in the last few chapters, the author applies the previously described content to the project and introduces the project development process in the form of a template. He teaches Python development step by step, allowing readers to appreciate the power of Python from the project. Real charm. 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.
2.Python for data analysis
This book introduces the use of ipython, notebook, Numpy, Scipy and Pandas packages, etc., as long as you master the basic syntax of python Just learn.
Here I still want to recommend the group I created myself: 483546416. All the people in the group are learning Python development. If you are learning Python, the editor welcomes you to join. Everyone is a software development party, from time to time Share useful information (only related to Python software development), including the latest 2018 Python advanced materials and advanced development tutorials compiled by myself. Welcome friends who are advanced or want to get deeper into Python
Author Wes McKinney is a senior data analysis expert, has in-depth research on various Python libraries, and has accumulated rich experience in a large number of practices. He is one of the most recognized authorities in the Python and open source technology communities. Developed pandas, a famous open source Python library for data analysis, which has been widely praised by users.
3.Python 3 Program Development Guide
"Python 3 Program Development Guide" tells the 8 key elements that make up the Python language, divided into different chapters. It provides a detailed explanation, including data types, control structures and functions, modules, file processing, debugging, processes and threads, networks, databases, regular expressions, GUI programming and other aspects. The content of the book is mainly based on practical examples, and there are exercises at the end of each chapter to help readers better understand and master the content. It is very suitable for use as a Python language textbook and has certain reference value for Python programmers.
4. Python data analysis and mining practice
The basic part in the front of this book is very detailed and comprehensive. It is a good book for getting started with Python. The following Demo is also very close to actual combat, and introduces detailed cases of using Python for data mining. Both data and code can be downloaded, which is extremely practical.
5.Python Cookbook
This book introduces some techniques and methods of Python in various fields, from the most basic characters, file sequences, dictionaries and sorting, It covers advanced object-oriented programming, databases and data persistence, XML processing, and Web programming, as well as advanced and abstract descriptors, decorators, metaclasses, iterators, and generators. But this book is relatively heavy, so you can keep it handy and read it when you have nothing to do. There are many experiences in the book, which will inspire you when your thoughts are blocked.
Three commonly used resource websites
1. Wowebook
If you are a programmer who likes to read books, This website will definitely be your favorite. The website is full of e-books on programming. The resources are very rich. If you have friends who like to read books, you can go to this website first to look for them.
2.Github
On Github, there are a large number of open source code libraries, and many programmers will upload their written projects here. At present, Microsoft has announced the US$7.5 billion acquisition of GitHub, which has made many developers feel uneasy, and they have begun to turn to GitLab. Both are web-based Git repositories (warehouses) with streamlined web development processes. They are both for development teams. Provides a centralized, cloud-based place to store, share, publish, test, and collaborate on web development projects.
3. CSDN
CSDN is a website that programmers like very much. First of all, it is in Chinese and classifies various languages. It is very convenient to find things. CSDN also provides a lot of download resources for programmers to use.
The above is the detailed content of What to read when getting started with python. For more information, please follow other related articles on the PHP Chinese website!

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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