First of all, want to know the quality of a language, or why the programmer likes it (lying, the original programmer likes not a girlfriend?) Our first starts with the background of the language generation, such as: what he appeared in what he appeared in era, what problems it emerged to solve, etc. Of course, I am only making a comparison with other languages, and I will not discuss who is better or worse. Besides, there is no good or bad distinction between languages. Even if there are good and bad distinctions, it must be based on actual application scenarios, so we will not discuss this issue.
TIOBE recently announced the programming language index rankings for June 2017, with Python ranking fourth, which illustrates the popularity of Python.
June 2017 programming language ranking TOP20 list:
Why choose Python
1. Simple and easy to use
With the current popular Compared with programming languages Java, C, C++, etc., to complete the same function, the code written in Python is shorter and the development efficiency is higher. This allows us to focus on solving the problem rather than figuring out the language itself. Moreover, Python's syntax is simple and easy to learn.
2. Cross-platform
Python is open source software and can be ported to different platforms, such as Windows, Linux, Macintosh, Solaris, etc. If a Python program does not use system-dependent features, it can run on different platforms without modification.
3. Rich libraries
In addition to providing a powerful standard library, Python also has a rich extension library. For example, NumPy, SciPy, matplotlib, etc., which perform data analysis and processing, provide great convenience for scientific research and therefore are increasingly used.
Applications of Python
Python is now used in Google search engines and NASA mission projects, Zhihu , Douban, Sohu, Tencent, etc. also use Python to implement related functional processing.
As the extension library provides more and more powerful functions, Python is more widely used. Especially with the release of Python numerical computing engines (such as NumPy and SciPy), Python has become the language of choice for computer science research, and is most typically used in the fields of artificial intelligence and machine learning. Therefore, some people say that Python is the future of artificial intelligence and machine learning.
Python version battle
The official Python website releases both Python 2.x and Python 3.x at the same time versions of different series and are incompatible with each other. So which version should you choose to learn Python?
When choosing a version, you must first consider clearly what your purpose is for learning Python, what aspects of development you plan to do, what extension libraries you need to use, and which versions these extension libraries support. Python, and then choose the appropriate version accordingly.
Generally speaking, there are more extension libraries that support Python 2.x, but Python 3.x is the general trend, and more and more extension libraries will support Python 3.x. If you are a beginner, choose Python 3.x.
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