What is the Difference Between Python and C Language?
🆚 Go to Comparative Table 🆚The main differences between Python and C language are:
- Level of language: C is a low-level, procedural, statically-typed language, while Python is a high-level, dynamically-typed, interpreted language.
- Use cases: C is used for system programming, embedded systems, and performance-critical applications, while Python is used for general-purpose programming, scripting, and data analysis.
- Ease of use: Python prioritizes readability and ease of use, while C prioritizes efficiency and control.
- Compilation: C is a compiled language, which means it is converted into machine code and executed directly by the CPU. Python is an interpreted language, which means it is executed line by line.
- Object-oriented programming: C does not have native object-oriented programming support, while Python has OOP as a part of the language.
- Pointers: C has pointers, while Python does not.
- Built-in functions: C has a limited number of built-in functions, while Python has a large library of built-in functions.
- Data structures: Implementation of data structures in C requires explicit implementation of functions, while Python provides built-in functions for easy implementation.
- Performance: C is generally faster than Python, but the difference in performance is not significant for most tasks.
- Accessibility: Python is considered easier to learn and use than C, making it more accessible for beginners.
On this pageWhat is the Difference Between Python and C Language? Comparative Table: Python vs C Language
Comparative Table: Python vs C Language
Here is a table comparing the differences between Python and C languages:
Feature | C Language | Python Language |
---|---|---|
Speed | Faster | Slower |
Compilation | Compiled | Interpreted |
Data Structures | Requires explicit implementation | Provides built-in libraries for easy implementation |
Inline Assignment | Allowed | Disallowed |
Typing | Static | Dynamic |
Memory Management | Manual with pointers | Automatic with garbage collection |
Programming Paradigm | Procedure Oriented | Object Oriented |
Extension | .c | .py |
Syntax | Complex | Clear and concise |
Usage | General-purpose, suitable for system programming and performance-critical tasks | Versatile, excels in web development, data analysis, scripting, and automation |
C is a compiled, statically typed language that is more complex and performance-oriented, while Python is an interpreted, dynamically typed language that is more versatile and simpler to learn and use.
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