What is Python and why is it Booming?

Python is a programming language that was built in the year 1989 by Guido van Rossum. This model is the successor of the ABC language. The language is termed as an Object-Oriented Programming Language due to the built-in libraries that perform the function of coding and analyzing any kind of information. The name Object Oriented Programming is used because of the provision of creating various classes that contain libraries performing the desired task. The actual language that can be called the mother of this amazing language is C language. The name is CPython and not Python. The vocabulary language used to write Python is English and the syntax present in this programming language is very user friendly and easy to learn.

There are other languages as well which are very famous for coding but Python tops the chart due to its shorter syntaxes, built-in libraries, and speedy execution.  The language was mainly built to make easy execution of codes when compared with other programming languages like Java, C, C++, etc. The company that owns this language and was associated with Guido van Rossum is Python Software Foundation.

Pros and Cons of Python

Pros and Cons of Python

Pros

It is open source: This programming language is completely open-source and people all over the globe are free to contribute their work in developing the libraries of python. Many open-source platforms are there like Pycaret, Tensorflow, Github, PyPI, etc. where one can contribute his/her work and make it reusable by the whole world.

It contains fewer lines of code: Due to its syntactically efficient feature that is fewer lines of code with the least error it finds application in many top organizations like Facebook, Google, etc.

It is best for carrying out Machine Learning and Deep Learning: As an AI expert one needs to be fast and very accurate in his/her calculations. Here Python comes for the rescue. These languages have some amazing libraries like Pytorch, Tensorflow, and Scikit Learn which computes machine learning algorithms faster and gives extremely great results.

Easy to learn: Due to its user-friendly codes it is very easy to learn this language and is very best suited for a newcomer who wants to learn to code.

Easily deployable web apps and GUIs: It helps in creating easily deployable web apps and GUIs for computers with the help of libraries like Flask, Django, Tkinter, Kivy, etc.

Non-monotonous: Learning this language is very easy and interesting because it contains syntax that is similar to the way we speak in our day to day life.

Has many interesting text editors that contain cool features: This language contains many text editors in which we can write Python codes like Sublime Text, Visual Studio Code, Pycharm, Inbuilt Python IDE, Notepad++, Atom, Jupyter notebook, Google collab, etc. Also, there is a virtual Python that is similar to real Python known as Anaconda which is a replica of Python and supports all the necessary libraries inbuilt within its environment.

Cons

Consumes large cache memory: Being a heavy language that contains built-in libraries, the memory consumption by executing Python codes is very large.

Requires heavy GPU and RAM: For carrying out stuff like Deep Learning and Machine Learning one needs to have a good GPU and at least 8 GB of RAM for smoother execution of ML and DL algorithms.

Not a good language for mobile app development: It finds applications in developing GUIs for computers but fails to provide easily deployable mobile apps for Android and IOS.

Fails to be compatible with other versions: If there is already a Python version installed in the system and we want to download one more and run it on the same computer then the issue arises because of incompatibility.

Over dependency on external libraries: As it is an Object-Oriented Programming language, therefore, most of its libraries are third party ones and therefore we need to download each library separately.

Conclusion

Learn Python if you want to learn an easy and efficient language that is widely accepted the best one for carrying out AI and Data Science related work. Also, try this language if you are new in coding and want to be an expert in a particular language that is user friendly.

 

 

One Response

  1. Sagnik August 3, 2020

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