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This article introduces the relevant knowledge of "what are the advantages of Python". In the operation of actual cases, many people will encounter such a dilemma. Next, let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

Advantages of Python

Simple: Python is a language that represents the idea of simplism. Reading a good Python program is like reading English. It enables you to focus on solving problems rather than understanding the language itself.

Easy to learn: Python is extremely easy to use because Python has extremely simple documentation.

Speed: the bottom layer of Python is written in C, and many standard libraries and third-party libraries are also written in C, which runs very fast.

Free, open source: Python is one of the FLOSS (free / open source software). Users are free to publish a copy of the software, read its source code, make changes to it, and use part of it in new free software. FLOSS is based on the concept of sharing knowledge by a group.

Extensibility: if you need a piece of critical code to run faster or want some algorithms to be private, you can write some programs in C or C++, and then use them in Python programs.

Embeddability: you can embed Python into the CumberCraft + program to provide scripting functionality to program users.

The Application Direction of Python

1. Conventional software development

Python supports functional programming and OOP object-oriented programming, and can undertake the development of any kind of software, so conventional software development, script writing, network programming and so on are standard capabilities.

two。 Scientific calculation

With the development of NumPy,SciPy,Matplotlib,Enthoughtlibrarys and many other libraries, Python is becoming more and more suitable for scientific calculation and drawing high-quality 2D and 3D images. Compared with Matlab, the most popular commercial software in the field of scientific computing, Python is a general programming language, which is more widely used than the scripting language adopted by Matlab and supported by more libraries. Although many advanced functions of Matlab and toolbox are irreplaceable at present, there is still a lot of work that can be done by Python in daily scientific research and development.

3. Automatic operation and maintenance

This is almost the reserved place for Python applications. As the preferred programming language for operation and maintenance engineers, Python has been deeply rooted in automated operation and maintenance. For example, Saltstack and Ansible are both famous automation platforms.

4. Cloud Computing

Open source cloud computing solution OpenStack is based on Python development, cloud computing students understand.

5.WEB development

There are not too many Python-based Web development frameworks, such as the familiar Django and Tornado,Flask. Among them, the Python+Django architecture has a wide range of applications, the development speed is very fast, and the learning threshold is also very low, which can help you quickly build available WEB services.

6. Web crawler

Also known as web spiders, big data industry is the core tool to obtain data. Without web crawlers automatically, around the clock, and intelligently crawling free data on the Internet, those companies related to big data will probably be 3/4 less. There are many programming languages that can write web crawlers, but Python is definitely one of the mainstream, and its Scripy crawler framework is widely used.

7. Data analysis

On the basis of a large number of data, combined with scientific computing, machine learning and other technologies, data cleaning, de-duplication, standardization and targeted analysis is the cornerstone of big data industry. Python is one of the mainstream languages of data analysis.

8. artificial intelligence

Python is the mainstream programming language in the field of artificial intelligence, such as machine learning, neural network, deep learning and so on. It is widely supported and applied.

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