Python is a very simple, easy-to-understand, and quick-to-learn programming language, and it is an open source language, making it very convenient to learn python. The following content is from the shallower to the deeper. It is recommended to read and study in order.
0.Python concise tutorial
Download address: python concise tutorial Chinese.pdf
Very concise Even if you have no basic knowledge of a textbook, you can read it in half a day just like reading a novel.
Then, the following article can serve as a quick review:
Learn a language in minutes: Python
1. Python development tutorial
Liao Xuefeng's Python tutorial is one of the best-written Python development tutorials I have ever seen, including tutorials on two major versions of Python 2.7 and Python 3.
Address: Python tutorial - Liao Xuefeng's official website
Related recommendations: "python video tutorial"
2. Learn the basics , the next step is to master a practical development framework for actual combat.
Python has many web development frameworks. The largest and most comprehensive development framework is Django, which is also the most widely used. There are many companies that use the Django framework, such as Sohu, Tencent, etc. Web.py and Flask, which are known for their simplicity, are very easy to use. Tornado, which is known for its asynchronous high performance, has picturesque source code and is used by Zhihu and Quora. The following are very good learning materials for the Django framework.
2-1) Django Basics Tutorial
Django Unchained 01 First Trial Django Unchained 02 Manor Mystery Django Unchained 03 The So-Called Lover Django Unchained 04 Each Get what you need Django Unchained 05 Black-faced Butler Django Unchained 06 Django Unchained 07 Non-stop
2-2) Django practice project (using Django to develop a blog):
Django common commands django development blog (1) Getting started with django development blog (2) Template and data query django development blog (3) Static files, from applications and custom django development blog (4) Comments library use and ajax Support Django development blog (5) markdown support, code highlighting, gravatar avatar service Django best practices (Chinese version)
3. Python practice project
python Project Practice One: Instant Markup python
Project Practice Two: Good Drawing Python
Project Practice Three: Universal XMLpython
Project Practice Four: News Aggregation python
Project practice five: Virtual tea party python
Project practice six: Using CGI for remote editing python
Project practice seven: Custom bulletin board python
project Practice 8: Using XML-RPC for remote file sharing python
Project practice 9: DIY arcade game python
Project practice 10: File sharing 2-GUI
4. Some other useful resources
How to get started with Python crawler? - Xie Ke's answer
Python regular expression guide
[Dry information]Python crawler/text processing/scientific computing/machine learning/data mining weapon spectrum
Python WSGI detailed explanation
The above is the detailed content of How to learn python from scratch. For more information, please follow other related articles on the PHP Chinese website!

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.

Python is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.


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