The application prospect of Python.

Although the development efficiency of Python is high, the slow running speed of Python in the early years is also the main reason why many programmers criticize Python. However, in recent years, the Python interpreter has been constantly improving the running speed of Python. In some scenarios, the running speed of Python is directly approaching C language. I believe that in a few years, the running speed of Python will no longer be a problem. In addition, due to the rapid development of CPU processing speed in recent years, the speed of programming language itself is no longer taken as the main consideration in most business scenarios (except for businesses that are extremely sensitive to response speed, such as searching for elements). Therefore, it can be seen that Python is also considered in pursuing fast running speed. You can add a penguin skirt to the children's shoes you want to learn. The first three digits are 227, the middle is 435, and the last three digits are 45. You can share video materials, exchange experiences and explain the market for free.

The last one is the function of Python. Because of the environmental mechanism and language characteristics, it is a matter of minutes to make Python powerful. As long as you can configure the source and the environment, the development will become very simple. This is another major cause of Python fire. Python's standard libraries and third-party libraries are so powerful that you can't imagine. No matter you want to engage in technical programming in any direction, you can almost find corresponding library support. The following are just a few chestnuts:

WEB development: Django, the hottest Python web framework, Tornado framework supporting asynchronous and high concurrency, short and pithy flask, Bottle, Django's official slogan defines Django as the framework for perfection with deadlines (meaning an efficient web framework developed for perfectionists)

Network programming: Twisted network framework supporting high concurrency, Asyncio introduced by py3 makes asynchronous programming very simple < P > In the field of reptiles, Python is almost dominant, such as scrapy \ request \ beautifu soap \ urllib, etc. You can climb whatever you want < P > Cloud computing: OpenStack,Python most popular and well-known cloud computing framework at present, and Python's current fire is largely due to cloud computing < P > Artificial Intelligence: Who will become AI? This is already a question that needs no debate. If five years ago, Matlab, Scala, R, Java and Python had their own opportunities, and the situation was still unclear, then five years later, the trend was very clear, especially after PyTorch was opened by Facebook some time ago, Python's position as the top language in the AI ? ? era was basically established, and the suspense in the future was only who could sit in the second place.

automated operation and maintenance: ask every operation and maintenance personnel in China what language they must know? Ten people believe they will give you the same answer. Its name is Python

Financial Analysis: I have a friend who used to work in the financial industry. In 1 years, Python was used for many analysis programs and high-frequency trading software written by their company. Up to now, Python is the most used language in the fields of financial analysis and quantitative trading.

Scientific operation: Do you know, since 1997, NASA is using Python in a large number of complex scientific operations. With the development of many libraries such as Numpy, Scipy, Matplotlib and Enthought Libraries, Python is becoming more and more suitable for scientific calculations and drawing high-quality 2D and 3D images. Compared with Matlab, the most popular commercial software in the field of scientific computing, Python is a universal programming language, and its application range is wider than that of the scripting language adopted by Matlab

Game development: Python also has many applications in online game development. Compared with Lua or C++,Python has higher abstraction ability than Lua, and can describe game business logic with less code. Compared with Lua, Python is more suitable as a Host language, that is, the entry point of the program is better at the Python end, and then some extensions can be written in C/C++ when necessary. Python is very suitable for writing projects with more than 1, lines, and it can well control the scale of online games projects within 1, lines of code. In addition, as far as I know, well-known games <; Civilization > It was written in Python.

After listing so much, you will find that Python has done very well in almost every field mentioned above. It is a real full-stack language, and even the most widely used Java language in the world is inferior to Python in many aspects! I don't see any language that can make these achievements in so many fields at the same time. So, come boldly, you can't go wrong.

attach a list of languages this year.

Finally, the latest salary of Python post is attached

At present, full-stack development, data analysis and operation and maintenance development are the most widely used. As you can see, the starting salary of Python engineers is mostly from 15K, and the starting salary of engineers with more than 3 years is mostly over 2K.