Why is Python Popular?

What is Python?

Python is a high-level, dynamically typed computer language that is one of the most widely used general-purpose programming languages. It is used by software engineers, mathematicians, data analysts, scientists, network engineers, students, and accountants and is one of the world’s fastest-growing programming languages.

Python is a high-level, interpretable, object-oriented programming language. It is referred to as an interpreted language since its source code is compiled to bytecode before being interpreted. Before analysing Python code, CPython normally compiles it to bytecode. So join Python Training in Chennai to develop your python programming skills.

Why is Python Popular?

Python’s popularity is due to its features, among other things. It provides dynamic type and dynamic binding, for example. You cannot initialise a string value to an int variable in languages like Java, C, or C++, and the application will not build. Python does not know the variable’s type until it runs the function.

What is Python Used For?

Python’s applications are numerous and powerful. Python is often used in the following fields:

Website Development:

As a web developer, you have a variety of web frameworks to select from when utilising Python as a server-side programming language. Python programmers are familiar with both Django and Flask. Django is a full-stack web framework for Python that allows you to create complicated huge online applications, whereas Flask is a lightweight and extensible Python web framework that allows you to create basic web apps. It’s a good place to start for newcomers.

The Django framework is used by the likes of Youtube, Mozilla, Spotify, Dropbox, and Instagram, whilst the Flask framework is used by Netflix, Airbnb, Uber, and Samsung.

Machine Learning:

Python is a fairly approachable language, thus there are many wonderful libraries built on top of it to make your life easier. There are numerous Python libraries available that allow you to concentrate on more interesting tasks rather than reinventing the wheel. Python is also a good wrapper language for working with more efficient C/ C++ implementations of algorithms like CUDA/cuDNN, which is why existing machine learning and deep learning libraries perform well in Python. Working in the disciplines of machine learning and artificial intelligence requires this.

Data Analysis:

Python includes utilities for practically every element of scientific computing. Bank of America crunches financial data with Python, and Facebook employs the Python module Pandas for data processing.

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While there are numerous Python modules for data analysis, here are handful to get you started:

NumPy: NumPy is required for scientific computing with Python. It can handle massive, multi-dimensional arrays and matrices, as well as a variety of high-level mathematical functions to manipulate them.

SciPy: This programme works with NumPy arrays and provides fast numerical integration and optimization methods.

Pandas: Pandas is another NumPy-based package that provides data structures and operations for manipulating numerical tables and time series.

Matplotlib: With just a few lines of code, Matplotlib can build data visualisations such as histograms, power spectra, bar charts, and scatterplots.


So far we have discussed about why is python popular? and what is python used for? And to learn more about what is python language and is python an object oriented language, join Python Training in Coimbatore.

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