Different Python learning---WWH?

##Who - What is Python

##Python is a cross-platform computer programming language. It is a high-level scripting language that combines interpretation, compilation, interactivity and object-oriented. It was originally designed for writing automated scripts (shells). As the version is constantly updated and new language features are added, it is increasingly used for the development of independent, large-scale projects.

--《Baidu Encyclopedia》

The first introduction to python is for those who have no foundation in programming languages. It may be unfamiliar, but for now I think it is just one of thousands of programming languages. For people with some programming foundation, it is similar to programming languages ​​​​such as c, c#, java, js, php, etc. For certain needs, they All can be implemented equally. For senior programmers, these languages ​​need to be refined in terms of encapsulation, efficiency, stability, etc. The difference is relatively large, so I won’t go into details here.

What - What can Python do

##For those who want For those who are engaged in the python industry, they must be clear about their future career plans and employment direction. SoWhat kind of work can you do after learning python? The following are several popular directions:

##Python automation Office

, Python can efficiently realize excel automation, ppt automation, word automation, email processing, file batch processing, data processing and analysis, etc. It can be used for both main and side jobs.

Web development engineer, python has many ready-made web development frameworks, several A fully functional Web service can be generated with just one line of code. The more famous ones are Django and Flask. Django integrates more features and works out of the box. Flask is lightweight and fast, and only contains core functions. Others need to be extended by yourself. For example, Douban is written using Python's Django.

Python web crawler engineer As a tool for data collection, web crawlers are very useful as the source of data in the era of big data. . Using Python can quickly improve the accuracy and speed of data capture, which is a blessing for data analysts. Through web crawlers, you no longer have to worry about having no data.

Python data analysisEngineer##, now the application of big data can predict based on the data User usage habits, personalized recommendations, big data quantification, etc. Python uses libraries such as pandas and numpy to effectively implement various data science processing, such as data analysis, data visualization and big data mining.

Python automated operation and maintenance, this is almost the exclusive domain of python applications. As the preferred programming language for operation and maintenance engineers, python plays an important role in automated operation. Dimensioning has been deeply rooted in people's hearts. For example, Saltstack and Ansible are both well-known automation platforms.

How - How to learn Python

Before discussing how to learn, we must first understand why we should learn. There are thousands of reasons to learn python, but they never change. Its origin:

income, or a change in direction .

According to statistics, among python users, the proportion of people who directly create benefits for themselves is about P. The proportion of those who indirectly create benefits for themselves is about 0, and there are still about 0 people who are hesitating between these two paths. Of course, it cannot be denied that there are some experts who are truly passionate and keen on research.

Python has three very important features: easy to use, rich community, and convenient performance expansion. This is also A very important reason why python has become so popular in recent years. Judging from the languages ​​I have come into contact with so far, it is not an exaggeration to say that Python is the easiest to get started, and the entry barrier is very low. There are various learning routes on the Internet. There are no good or bad ones. They are all based on the experience of colleagues. However, everyone's acceptance ability is different. It is best to find the one that suits you.

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