The difference between python and c++

Running efficiency: C >> Python

##Python code and C will eventually become CPU instructions to run, but in general, such as reversing and merging two strings, Python will eventually convert many more CPU instructions than C.

First of all, Python has more things than C, and has gone through more layers. Even numbers in Python are objects!!! (Recommended learning:

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Secondly, Python is interpreted and executed, and there is an interpreter layer between it and the physical machine CPU, while C is compiled and executed, which is directly machine code. The compiler can perform some optimizations during compilation.

So there is no comparison in terms of operating efficiency.

Development efficiency: Python >> C

What Python can do in one or two sentences of code, C often requires a lot of writing. Use C to parse Json and you will understand. It is very likely that several days have passed and you are still debugging the bug. Just after the bug was debugged, the memory leaked. Try Python again and you will be so happy.

In terms of development efficiency, Python is much faster than C, so I say: "Life is short, I use Python."

The file structure is different.

Both C and Python need to import or #include the library when referencing the library, but when using the standard library, Python does not need to import the library. I think python should add all libraries by default, so the code execution efficiency is lower than C, but when Python references third-party libraries, the two are almost the same.

The writing format and grammar are different.

Since Python first appeared in 1991, many intermediate and high-level languages ​​have appeared before. Therefore, the design of Python draws on the characteristics of many other high-level languages, and has been transformed by the inventor to make the syntax more concise. It can be said that he is a master of all things. Python is very similar to MATLAB's m language. Python's grammatical format is different from other conventional languages ​​​​that require a statement to be used before it can be used. It is also extremely flexible and completely oriented to higher-level developers.

Functionality has been expanded.

Other programming languages ​​have their own limitations. Of course, this is an unavoidable problem for any language. But Python's functionality is better extended than other languages. For example, string processing, function return value issues... these are more suitable for practical problem solving needs.

The ecological libraries are different.

The biggest advantage of Python is open source. Open source enables its development to be optimized faster and better based on the collaboration of tens of millions of people. There are hundreds of thousands of Python ecological libraries. Such a large number of ecological libraries are used by all walks of life to customize and transform Python according to local conditions and suit the characteristics of each profession. This is a feature that no other programming language has. Characterized by differences in evolutionary levels. It's like humans know how to think, use tools and language better, while other animals do not have this ability. After the amplification of time, humans have completely surpassed other animals. Python is just like humans. Because it has an ecology, it has the ability to evolve. The manifestation of evolution is the rapid expansion of its ecological library, making it unmatched by other languages. Ask him how he understands that open collaboration gives the programming language Python a longer life cycle and more powerful functions.

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