The main differences between python and c language
Python can be said to be one of the hottest languages at present. The rise of artificial intelligence has made Python a household name overnight. Python is known as the easiest and easiest language to learn. Now there are Many colleges and universities have begun to use Python as an introductory language for freshmen. I have just started to come into contact with Python and found that Python is indeed very different from other languages. Python is implemented in C language, so I would like to make a simple comparison between Python and C language.
1. Language type
Python is an interpreter-based language. The interpreter reads the code line by line; Python is first compiled into bytecode and then interpreted by a large C program. .
C is a compiled language. The complete source code will be directly compiled into machine code and executed directly by the CPU.
2. Memory management
Python uses an automatic garbage collector for memory management.
In C language, programmers must perform memory management themselves.
3. Application
Python is a general-purpose programming language, a multi-paradigm. It mainly supports object-oriented programming, procedural programming, and functional programming.
C is a structured programming language. Functions, selections (if/else etc.), iteration (loops) are allowed. It is mainly used for hardware related applications.
4. Speed
Due to historical reasons, the Python programming language has a GIL lock, which causes it to not support multi-threading well enough and run slowly; while the C language is very fast, and the C language is The lower-level language is better than Python in terms of operating efficiency.
5. Different complexity
In Python, there is no need to declare variable types. In C, variable types must be declared.
Python programs are easier to learn, write and read. And C program syntax is more difficult than Python.
Testing and debugging is easier in Python; testing and debugging in C is harder.
For more Python related technical articles, please visit the Python Tutorial column to learn!
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