The Ultimate Guide on Difference Between Python And Cython
Python is one of the most mainstream general-purpose programming languages.Developers mostly use it for building desktop GUI applications, web applications, and websites. Also, Python is used in artificial intelligence, scientific computing, big data, natural language processing and machine learning projects.
Yet, Python is an interpreted programming language. A number of experiences propose that Python is ample slower than a various compiled programming language including C and C++. Cython is a well-known superset of Python. The programmers can load and utilize the extension modules legitimately in the Python code using the import statement.
Important Differences between Python and Cython
Type of Programming Language
Python programmers require interpreters to convert Python code into machine code. While Cython is a compiled programming language. The Cython programs can be executed straightforwardly by the CPU of the underlying computer without using any interpreter.
Design Aim
Python features a dynamic type system,includes a powerful kind framework, supports automatic memory management, and emphasizes on code readability. Cython is built as a superset of Python programming language. In addition to being written in Python, Cython additionally have the capability to create standard Python modules.
Syntax
The syntax rules of the two versions of Python — 2.x and 3.x vary. They are not viable with each other. Consequently, the developers have to learn and use syntax rules as indicated with their preferred version of Python. Cython uses syntax which is hugely impacted by Python 2.6. It even supports most Python 2.x syntax. But Cython is yet to help all Python 3.x features.
Behaviour
The programmers of Python empower to organize the code through modules that has its own attributes. This helps programmers to keep the code base organized and maintainable. Cython has the ability to generate standard Python modules, but module code written in Python has to be translated into C. The translation processes advance the code execution speed significantly. But the modules generated by Cython cannot be utilized without Python interpreter and standard library.
Execution and Speed
Cython is much quicker than Python. It progresses Python code execution speed significantly by compiling Python code into C code.
Dependency
The programmers need to install both Python and C-compiler as a pre-essential to run Cython programs. Prioir to installing Cython, they have to make sure that a C-compiler is already installed on the system.
Use cases
As of now Python is being used in scientific computing, artificial intelligence, machine learning, big data and Internet of Things (IoT) projects. Python is also being used by large enterprises like Google, NASA, CERN and Wikipedia. On the other hand, Cython is used extensively in scientific and numerical computing projects. Scientific computing libraries that are used for Python — Pandas and SciPy — are also written in Cython. Also, Cython is presently being used by a huge number of high traffic websites including Quora.
