Is Python worth learning What exactly can you do after learning it

Python is easy to learn, free and open source, high-level language, super portability, extensibility, object-oriented, embeddable, rich libraries, standardized, etc. Python can be said to be all-round except for a very small amount of development: system operation and maintenance, graphics processing, mathematical processing, text processing, database programming, network programming, web programming, multi-** applications, PYMO engine, crawler writing, machine learning, artificial intelligence, and so on.

Python is widely used, and there is now a talent gap of more than 1 million in China.

If you want to learn python development professionally, you need to spend more time and energy, which is generally around 2w. You should go to the field according to your actual needs, listen to it first, and then choose the one that suits you. As long as you work hard to learn the real thing, the future will not be bad.

Why is Python being learned by more and more people and being taken more seriously? There are many reasons for this:

Efficient,** easier to read, debug, and scale.

Versatile: games, web applications.

Solving business problems and developing internal tools for all kinds of companies.

Python is also heavily used in academic and applied research.

There's a strong Python community to back it up.

Don't look at a lot of chicken soup written, some say it's not worth it, some say it's worth it, the key to this problem is you, python is just a programming language, and the skills are not pressing. It's as if you're dealing with Chinese every day, and you don't have any English needs at all, or you don't have any job-related English needs. You go and learn English.

English isn't worth learning because you don't need it.

In fact, the key is what you want to achieve. For example, if you are writing game engines for your job, python is definitely not recommended. However, if you are doing crawler imitation, document data analysis to improve the operation and maintenance effect of chain distribution, etc., you can consider learning compared to other programming languages, and the syntax rules are simpler.

Easy to get started. The upstairs buddy said that the execution efficiency of python is slow, and that is only relative, if the staring fiber is not a large scale volume, you don't feel slow.

Python is a general-purpose programming language, widely used in many fields, in this era of rapid development of the Internet, learning python well is equivalent to mastering a "hard technology", which is very helpful for employment.

More people learn Python not to support themselves, but to use Python to strengthen the competitiveness of their own work. For example, new **, product manager, finance, **, etc. After all, Python is the easiest programming language to learn.

For example, the new ** profession:

To put it simply, after you know how to python, it is equivalent to building a Weibo hot search list that belongs to your own work block. You can use crawlers, receipt scraping and other technologies to know which topics have been particularly popular recently, why they are popular, and what they have in common, and then write your own articles based on these evidences, and you can't spend so much time looking for ideas.

Having data support will also make you more sober-minded, and there will be no traffic ups and downs that you don't understand, and all processes are transparent. You can also do scripting to help you better manage the operations you do.

For programmers:

There are also some people who learn Python because Python is often equivalent to a glue among programmers to help you complete your programming work better, and you learn Python alone is actually paving the way for the upcoming artificial intelligence. After all, AI is mostly written in python.

1. Do web application development.

In China, Douban has used Python as the basic language for web development from the beginning, and the entire architecture of Zhihu is also based on the Python language, which makes web development develop very well in China. The biggest **** in the YouTube world is also developed in Python, and the very famous Instagram is also developed in Python.

2. Data analysis.

Our ultimate goal is to analyze the data, and in this regard, the library of data pie roll analysis is also very rich, and all kinds of graphical analysis charts can be made. It is also very convenient, such as visualization libraries such as Seaborn, which can plot data with only one or two rows, and using pandas, numpy, and scipy, you can easily filter and regress a large amount of data. In the subsequent complex calculations, it is very simple to connect machine learning related algorithms, provide web access interfaces, or implement remote call interface preparation.

Python is very necessary to learn.

With the continuous output of Internet talents in recent years, Python is one of the most popular programming languages, and more and more people who learn Python language want to ask whether Python is worth learning? The answer is undoubtedly yes, Python is very necessary to learn. It is relatively widely used in many fields, and Python has a low entry threshold and is easy to get started.

It's easy to learn for beginners. In addition, Python talent is in high demand and in short supply. After learning Python, high-paying jobs can follow.

Robust ecosystem of software libraries. Having a large selection of software libraries is one of the main reasons why Python is the most popular AI programming language.

A software library consists of modules or modules that are published differently, including pre-written snippets that allow users to access certain features or perform different actions. The Python library provides a basic project skill, so developers don't have to code from scratch every time, which greatly reduces the workload of program guessing developers, which can be said to be a blessing for programmers.

The barrier to entry is low. The low barrier to entry allows more data scientists to quickly master Python for AI development and learn the language without much effort. The Python programming language is very similar to everyday English, which makes the learning process easier.

Its simple syntax makes it easy to use complex systems and ensures that the relationships between system elements are clear.

Learning python is very useful.

Whether from the perspective of personal development, professional development, or daily life, learning Python has the following meanings:

1. Improve computer literacy: In the information age, computers have become an indispensable tool in life and work. Learning Python can help ordinary people improve their computer literacy and better cope with computer applications in their daily lives and work.

2. Create personal projects: Python is an easy-to-use programming language, after learning python, ordinary people can use it to create personal projects, such as development, data analysis, image processing, etc., so as to realize their own ideas and ideas.

3. Improve work skills: With the continuous development of information technology, more and more occupations need to have programming skills. Learning Python can provide ordinary people with a whole new skill set and increase their competitiveness in the workplace.

4. Simplify daily tasks: Python can help ordinary people automate daily repetitive tasks, such as data processing, file management, etc., thereby saving time and energy.

5. Learn programming thinking: Learning Python is not only about learning a programming language, but more importantly, learning programming thinking. Programming thinking includes problem solving, logical thinking, and innovation, which are all meaningful skills that can be applied to various fields.

6. Explore the edge of science and technology: Python has a wide range of applications in artificial intelligence, data science, Internet of Things and other fields. Learning Python can help ordinary people understand and explore the cutting-edge development of science and technology, and have a better grasp of future development trends.

7. Rich community and resources: Python has a huge developer community and rich resources, and you can get a large number of learning materials and practical cases during the learning process, which helps you master the skills of Python faster.

There are so many applications that almost everyone can do something fun and useful through crawlers after learning crawlers. Brother Orange 3. Artificial Intelligence Artificial intelligence is a direction that is very popular now, and the AI boom has filled the future of the Python language.