What are the applications of python in practical work?

What are the applications of python in actual work

Whether it is work or life, Python is a practical and interesting skill.

Python has a wide range of application fields, which can be summarized in the following figure:

Applied to: Python development, Python crawlers, big data;

In terms of life, reptiles have added a lot of fun to our lives and made our daily lives more convenient.

Recommended learning: "Python Video Tutorial"

Python Development

Automated testing, automated operation and maintenance, WEB development ( Website development) and artificial intelligence all belong to Python development.

Automated testing - write simple implementation scripts in Python and use them in Selenium/lr to achieve automation.

Automated operation and maintenance - Python is very important for server operation and maintenance.

Currently, almost all Linux distributions come with a Python interpreter to use Python scripts for batch file deployment and operation adjustment~

And Python provides a full range of With Fangfang's tool collection, combined with the Web, it will become very simple to develop tools that facilitate operation and maintenance.

WEB development - Python's most popular WEB development framework Django is very popular in the industry, and its design philosophy is also commonly used in other programming language design frameworks~

If it is a website End, using it for a single website, the backend service is easier to maintain. As we often see: Gmail, Zhihu, Douban, etc.~

Artificial intelligence is a very popular direction now. Most of the several very influential AI frameworks released now are Implemented in Python.

Python crawler

In the current era of information explosion, a large amount of information is displayed through the Web. In order to obtain this data, web crawler engineers came into being.

But this is not only our daily simple data capture and analysis, it can also break through the common anti-crawler mechanisms of ordinary websites, as well as write deeper crawler collection algorithms.

You can also search the Internet for interesting things that others have done through crawlers. Let me pick a few to talk about:

"The first program written in Python was Crawl the pictures on the Encyclopedia of Embarrassing Things, automatically download them locally, and automatically divide them into folders and save them. At that time, I thought, Oops, it’s so NB~”

”12306 train ticket query tool, Ctrip air ticket query; crawling User reviews of Meituan Movies and Douban Movies; a simple Meituan restaurant crawler and creating a simple heat map based on geographical coordinates...these are not difficult.” And the crawled data was analyzed and visualized using Excel and Python (matplotlib) respectively..."

"I tried to crawl the product information of JD.com's hot sales and Taobao's rush sales (or Juhuasuan), but it didn't work. It's quite simple when I think of it, mainly because I haven't taken any anti-crawler measures..."

Data is the core asset of a company. Extracting valuable information or patterns from messy data has become the primary task of data analysts.

Python's tool chain provides extremely efficient support for this heavy work. Data analysis is based on crawlers. We can easily crawl down massive amounts of data to perform analysis.

For more Python related knowledge, please pay attention to

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