How about learning python at the age of 27?

At present, the development trend of python in our country is getting better and better. Many people learn python just after graduation. And some students who have graduated for a long time will ask : How about learning python at the age of 27? Let's talk about this aspect of the content, don't miss it.

Learning python is currently a good choice, and it is also suitable for 27-year-olds for the following reasons:

1. The Python language has a sound ecosystem

Although Python has received a lot of attention in recent years, it is not a new language. Python existed before Java appeared. After years of development, the Python language itself has established a relatively complete ecosystem with a large number of Python-based projects.

2. Python is widely used

Python's application areas mainly include Web development, big data development, artificial intelligence development and embedded development. Python can also be used for back-end development. Python has only recently been added to the list of embedded development languages, which is another huge boost to Python development.

3. Python is very promising

With the continuous development of big data and artificial intelligence, Python's future development prospects are worth looking forward to. To some extent, many traditional programmers are now turning to Python development.

Four. Python full-stack programmers are very popular

Now large Internet companies welcome Python full-stack programmers, and the Python language itself determines many features of full-stack programmers in the Python language. So, from the perspective of employment, learning Python is also a good choice.

5. Python language learning cycle is short

Python has simple syntax, direct use and easy adjustment. These features are important reasons why programmers like Python. Compared with other languages, the learning cycle of Python is relatively short.

If you want to go further on the path of a Python programmer, you must lay a good foundation in mathematics, because whether you are doing big data development or artificial intelligence development, you need to have a solid mathematical foundation. As a Python programmer, algorithms and data structures are the best systematic research.