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This article mainly explains "what is the use of learning Python", the content of the explanation is simple and clear, easy to learn and understand, the following please follow the editor's ideas slowly in depth, together to study and learn "what is the use of learning Python" bar!

Reason one: Python is really suitable for data science.

This is the single biggest reason why many programmers learn Python in 2020. Many students are tired of Java programming, they study Python, they just want to change to a job in data science, the new job is often the most exciting, and the salary is really good.

But what makes Python the preferred language for data science and machine learning? Wasn't R considered the best not long ago? I think one reason is that Python provides a variety of powerful and complete libraries and frameworks, such as PyBrain, NumPy, and PyMySQL, as well as data science and machine learning.

Another reason is diversity. Python allows you to do a lot of things, such as creating scripts to automate things, getting into web development, and so on.

Reason two: machine learning is changing the world.

This is another reason why programmers will learn Python in 2020. The growth of machine learning is amazing. In the past few years, it is rapidly changing our world.

The algorithm is getting more and more complex day by day, and the best example is Google's search algorithm, which can now answer any question you search. There are chatbots that can answer your questions, and Uber is completely algorithm-driven.

If you are interested in machine learning and want to do a project yourself, Python is the only major programming language that makes it easy.

Although there are machine learning libraries in Java, we will find that Python has more and better content, because developers prefer the Python community to anything else in data science and machine learning.

Reason 3: Python plays an important role in Web development.

Good Web development support is another reason to learn Python. It provides many good libraries and frameworks, such as Django and Flask, to make Web development very easy.

It takes several hours in PHP, but only a few minutes to complete on Python. Python is also often used for Web cleanup. Some of the most visited sites on the Internet, such as Reddit, are built using Python.

Reason 4: Python is easy to learn and very friendly to beginners.

This is the biggest reason why beginners choose to study Python. When we first come into contact with programming and coding, no one wants to start with a programming language with complex syntax and weird rules.

Python is readable, simple, and easier to set up, and you don't have to deal with any classpath issues in Java or compilers in C++.

Just install Python. During installation, it proactively helps us add Python to PATH, which means that we can run Python from anywhere on the computer.

Reason 5: Python has a large learning community

You can never really learn a language by working behind closed doors. So you need a learning community to learn new skills, and you need to learn and communicate with people you have common interests. If you often get into learning difficulties, you will need help at that time.

Although we can use Google and Baidu, we can find solutions to any Python-related problems in a few minutes. There are also communities like StackOverflow that bring together many Python experts to help beginners.

Reason 6: Python's libraries and frameworks are too complete.

One of the similarities between Python and Java is that there are a lot of open source libraries, frameworks, and modules that can be used to do whatever you want, which makes our application development very easy.

Imagine how difficult it would be to use Java to create a Web application without Spring or to write a Web application without Django or Flask in Python? Libraries and frameworks can make our work easier because we only need to focus on business logic.

Python has many libraries to meet different needs. Django and Flask are the two most popular in Web development, and NumPy and SciPy are the two most popular in the field of data science.

In fact, Python has the best collection of machine learning and data science libraries, such as TensorFlow, Scikit Learn, Keras, Pandas, and so on.

Reason 7: automated scripts are so easy to use

I first learned about Python because of one of my scripting requirements. I was using an application that received messages through UDP, but something went wrong and we didn't see the message in the log.

I wanted to check to see if I received any UDP traffic from the program, and if the port received a message, but I couldn't find a convenient UNIX command to do it.

A friend sitting next to me is learning Python. He wrote a utility that uses a module of Python to intercept UDP messages in 5 minutes.

Although it took him some time to write such a tool, it still impressed me, but it only highlights the role of Python in writing scripts, tools, and automating content.

Reason 8: Python is too versatile

What I like about Python is its versatile nature. It is not limited to one thing, such as R language has great potential in data science and machine learning, but has little use in Web development. This means that we can do a lot of things by learning Python.

You can use Django and Flask to create Web applications, and you can use NumPy, Scipy, Scikit-learn and NLTK for data analysis.

You can even write scripts in Python to automate many daily tasks.

Reason 9: there is plenty of room for Python growth, and the employment rate is also increasing.

Python is developing very fast, and if you are just starting your programming career, it makes sense to learn a growing programming language.

It can not only help you find a job quickly, but also accelerate your career development. As far as I can see, for beginners, easy entry is only the foundation, and easy employment plus good development prospects is the most important reason for learning Python.

Reason 10: the salary of Python developers is very good

Python developers are one of the better paid developers.

On average, their salaries are also very high. The picture below shows the average salary of Python engineers on the staff set. If you are in the field of data science, machine learning and artificial intelligence, your salary should be even higher.

Thank you for your reading, the above is the content of "what is the use of learning Python". After the study of this article, I believe you have a deeper understanding of the use of learning Python, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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