Shulou(Shulou.com)06/01 Report--

China has been in contact with Python slowly since 2015, and Python has been even hotter in China since 16 years, and it can also be regarded as a "national Python".

It is well known that there is already Python in the textbooks of primary school students, and the national second-level computer certificate also needs to learn Python!

Because Python is simple and fast to start, it is the preferred language for many programmers to get started.

If you want to learn Python, or if you are just starting to learn Python, you may ask, "what can I do with Python?"

This question is difficult to answer because Python has many uses.

But over time, I found that there are five main applications of Python:

I. Web 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.

Python has hundreds of Web development frameworks and many mature template technologies. Choosing Python to develop Web applications not only has high development efficiency, but also runs fast.

Commonly used web development frameworks are: Django, Flask, Tornado and so on.

Many well-known Internet companies take python as the main development language: Douban, Zhihu, Guoshangwang, Google, NASA, YouTube, Facebook.

Due to the versatility of the background server, in addition to the narrow sense of the website, a lot of App and game server-side is also implemented in Python.

2. Web crawler

Many people's enthusiasm for programming begins with curiosity and ends with stagnation.

There is a technological gap between practical development and development, and there is no one to suggest it, and I don't know what the current level can do. In this cycle of confusion, programming skills come to a standstill, and crawlers are one of the best ways to move forward.

Web crawler is a commonly used scene in Python. Internationally, google used Python language as the basis of web crawler in the early days, which led to the application and development of the whole Python language. In the past, many people in China used collectors to search for online content, but now it is much easier to use Python to collect online information, such as:

Crawl discount information from major websites and compare them to get the best choice.

Collect and classify speeches on social networks, generate emotional maps, and analyze language habits

Crawl all the comments on a certain type of songs in NetEase Yun Music and generate ci Yun.

Filter the movie and book information of Douban according to the conditions and generate a table.

There are so many applications that almost everyone can do something fun and useful through the crawler after learning the crawler.

III. Artificial intelligence

Artificial intelligence is a very popular direction now, and the AI craze makes the future of the Python language full of unlimited potential. Now that several very influential AI frameworks have been released, most of them are Python implementations. Why?

Because Python has many libraries that are convenient to do 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 field of artificial intelligence, such as data mining, machine learning, neural network, deep learning and so on, which has been widely supported and applied.

Most of the core algorithms of artificial intelligence still rely on CpinCraft +, because it is computationally intensive and requires very fine optimization, as well as interfaces such as GPU, dedicated hardware, and so on.

Python is the API binding of these libraries, and Python is used because of the glue language feature of CPython. Python is the easiest to develop a cross-language interface from other languages to Python +, and the threshold is much lower than other languages, especially when using Cython.

IV. Data analysis

In terms of data analysis and processing, Python has a very complete ecological environment. "big data" analysis of distributed computing, data visualization, database operations, etc., there are mature modules in Python can choose to complete its functions. For both Hadoop-MapReduce and Spark, Python can be used directly to complete computing logic, which is very convenient for both data scientists and data engineers.

5. Automated operation and maintenance

Python also has very important uses for server operation and maintenance. Since almost all Linux distributions have built-in Python interpreters, using Python scripts for batch file deployment and run adjustments has become a good choice on Linux servers. Python also contains many convenient tools, from paramiko for regulating ssh/sftp to supervisor for monitoring services, to construction tools such as bazel, and even package management tools such as conan for C++. Python provides a comprehensive collection of tools, and on this basis, combined with Web, it will become very simple to develop tools that are convenient for operation and maintenance.

VI. Examples of other applications of Python

System programming: provide API, can facilitate system maintenance and management, one of the iconic languages under Linux, is an ideal programming tool for many system administrators.

Graphics processing: supported by PIL, Tkinter and other graphics libraries, it is convenient for graphics processing.

Mathematical processing: the NumPy extension provides a large number of interfaces with many standard math libraries.

Text processing: the re module provided by Python supports regular expressions as well as SGML,XML analysis module. Many programmers use Python to develop XML programs.

Database programming: programmers can communicate with MicrosoftSQLServer,Oracle,Sybase,DB2,MySQL, SQLite and other databases through modules that follow the PythonDB-API (database application programming interface) specification. Python comes with a Gadfly module that provides a complete SQL environment.

Network programming: provide a wealth of modules to support sockets programming, can easily and quickly develop distributed applications. It is widely used by many large-scale software development programs such as Zope,Mnet and BitTorrent.Google.

Web programming: an application development language that supports the latest XML technology.

Multimedia applications: the PyOpenGL module of Python encapsulates the "OpenGL Application programming Interface" and can process 2D and 3D images. The PyGame module can be used to write game software.

Hacker programming: Python has a hack library with built-in functions you are familiar with or unfamiliar with, but lacks a sense of accomplishment.

7. Summary:

See so many application scenarios do not think Python is very powerful, but Python usually does not appear as an engineering language, in other words, regular software production does not use it, mainly java, caching, xml, c, as to why, because this is the need of software engineering.

And Python does not have a complete syntax check, but this does not affect the current status of Python, because Python is fast to start, simple, relatively low cost of learning, and there are rich support libraries that can be directly called to efficiently complete different needs of work, so more and more people begin to join the army of Python.

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

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