The Tech Platform
Jan 10, 20232 min
Updated: Jan 12, 2023
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built-in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy-to-learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms and can be freely distributed.
Advantages:
It is easy to learn and use, and it has an extensive library.
It is flexible and has a supportive community
Disadvantages:
Because of its elementary programming, users face difficulty while working with other programming languages.
Python is time-consuming language. It has low execution speed.
It is not suited for memory-intensive programs and mobile applications.
Cython is a compiled language that is typically used to generate CPython extension modules. It aims to be a superset of Python, designed to give C-like performance with code that is written in Python. Cython is written in Python and C and works on Windows, macOS, and Linux, producing source files compatible with CPython 2.6, 2.7, and 3.3 and later versions.
Advantages:
It allows easy working with C libraries and also supports C++.
Cython Libraries have the same garbage collection as that Python. It is also possible to manage the C-level Structures using malloc/free.
Cython can be used in Python applications and software modules that need extra protection from attacks such as snooping.
Disadvantages:
Cython code is best in its performance when it is written only in the C language.
Cython provides a source code report that illustrates which parts of it are written in Python to avoid performance bottlenecks.
Its complete conversion is not possible which results in several calls to the python interpreter.
Let's see the difference between Python and Cython.
The Tech Platform