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Difference between Python and C++
  • Difficulty Level : Basic
  • Last Updated : 31 Mar, 2020

Python tutorial: Python is a high-level, interpreted programming language. It was invented back in 1991, by Guido Van Rossum. Python is an object-oriented programming language that has large enormous library support making the implementation of various programs and algorithms easy. Its language constructs and object-oriented approach aims to help programmers to write clear, logical code for various projects.

C++ tutorial: C++ is a high-level, general-purpose programming language created by Bjarne Stroustrup as an extension of the C programming language, or “C with Classes”. The language has expanded significantly over time, and modern C++ has object-oriented, generic, and functional features in addition to facilities for low-level memory manipulation.

Python vs C++

CodePython has less lines of code.C++ tends to have large lines of code.
Garbage CollectionPython supports garbage collectionC++ doesn’t support garbage collection.
SyntaxPython is easy to remember almost similar to human language.C++ has a stiff learning curve as it has lots of predefined syntaxes and structure
CompilationPython uses interpreter.C++ is pre; compiled.
SpeedPython is slower since it uses interpreter and also determines the data type at run time.C++ is faster in speed as compared to python.
Rapid PrototypingRapid Prototyping is possible due to the small size of the code.Rapid Prototyping not possible due to larger code size.
EfficiencyEasier to maintain, object-oriented and simpler to useLess clean and manageable in comparison to python
NaturePython is dynamically typed.C++ is statically typed.

Python leads to one conclusion: Python is better for beginners in terms of its easy-to-read code and simple syntax. Additionally, Python is a good option for web development (backend), while C++ is not very popular in web development of any kind.
Python is also a leading language for data analysis and machine learning. While it is possible to use C++ for machine learning purposes as well, it is not a good option. In terms of simplicity, Python is much easier to use and has a great support system when it comes to AI and ML frameworks.

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