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This article mainly explains what Xiaobai should prepare for learning Python. Interested friends may wish to have a look at it. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn what Xiaobai is going to prepare for Python.

An essential part of learning Python must be tools, one is the encoder, the other is the interpreter:

The encoder is Python. At present, there are two versions of Python, one is 2.x version, the other is 3.x version, these two versions are incompatible, because Python is evolving towards 3.x version, in the process of evolution, a large number of code for 2.x version needs to be modified before running, so there are many third-party libraries that can not be used on 3.x for the time being.

IDE tool. IDE integrated development environment (IDE) software is an application for program development environment, which generally includes code editor, compiler, debugger and graphical user interface tools.

The tools commonly used are:

Pycharm: PyCharm is a Python IDE with a complete set of tools that can help users improve their efficiency when developing in Python, such as debugging, syntax highlighting, Project management, code jumping, smart tips, automatic completion, unit testing, and version control.

IDLE: Idle is a fairly basic IDE written in Tkinter under pure Python.

Ipython: ipython is an interactive shell for python that is much easier to use than the default pythonshell.

If you want to learn Python well, you can join an organization, so it is more convenient for everyone to learn, and you can also exchange and share materials together. I recommend an organization that has difficulties in learning, or if you want to obtain Python materials, please add Python Learning Q Group 629440234, learn from each other, and share learning materials with each other.

1. Python is not that difficult, its threshold is very low. It doesn't take you long to get started with Python to do some simple crawlers.

2. It can greatly improve my work efficiency. As an Android developer, I can use Python to write a few lines of code to detect duplicate resources in my project, or I can write a script to improve my packaging efficiency and so on.

3. In the past, I chose to use Java to build my own small project if I needed to use the server. But when I learned Python, the simple service I was supposed to build with 100 lines of Java can now be done in just a few lines of code.

4. I can do some small crawlers to get some data that I am interested in. For example, soup is not hot and so on.

5. Lay the foundation for possible career changes in the future.

What can python do in practical application? Here's a brief introduction:

1. Web application development

Python has a history earlier than Web. Because Python is an interpreted scripting language with high development efficiency, it is very suitable for Web development.

Commonly used web development frameworks are: Django, Flask, Tornado, etc.

2. Web crawler

Web crawler is a program that automatically extracts web pages. It downloads web pages from the World wide Web for search engines and is an important component of search engines. The traditional crawler starts from the URL of one or more initial web pages to obtain the URL on the initial web page. In the process of crawling the web page, the traditional crawler constantly extracts new URL from the current page and puts it in the queue until certain stopping conditions of the system are met.

3. Automatic operation and maintenance

The advantage of Python in system operation and maintenance lies in its strong development capacity and complete industrial chain, and its development capability is far stronger than all kinds of Shell and Perl.

4. Scientific calculation and data analysis

A large number of python libraries provide a complete tool set for data analysis, and it has been increasing, and the implementation of the algorithm is more innovative.

5. Artificial intelligence

Python has many libraries that are convenient for artificial intelligence, such as numpy, scipy for numerical calculations, sklearn for machine learning, pybrain for neural networks, and matplotlib for data visualization. It is the mainstream programming language in the wide field of artificial intelligence, such as data mining, machine learning, neural network, deep learning and so on. It has been widely supported and applied.

Python's easy-to-understand syntax makes python the most suitable language for beginners. Even if you are not a programmer, learning python pages can greatly improve your work efficiency.

At this point, I believe you have a deeper understanding of what Xiaobai is going to prepare for Python. You might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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