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What is Python used for in Programming

What is Python used for in Programming?

Before getting into why we need Python let us first understand what Python is. Python is currently one of the most versatile programming languages in use. Some of the salient features of Python are:

  • Simplicity and flexibility
  • Platform independence
  • Availability of free and open-source software, FLOSS (Free/Libre and Open Source Software)
  • It is a high-level language
  • Supports both procedural and object-oriented programming paradigms
  • It is extensible that is, it can invoke C and C++ libraries and can integrate with Java.
  • It can be used to make GUI applications in addition to writing huge and complex programs
  • Multiple implementations are available like the CPython that is the general implementation of Python and Jython, which is the integration of Python with java.

Simplicity of Python with illustrations:

Consider a program where you want the user to enter something from the keyboard, and you want to save that value in a variable

C++:

#include<iostream>

using namespace std;

int main(){

     int x;

     cin >> x;

     return 0;

         }

Core Java:

import java.util.Scanner;

class Test{

    Scanner input = new Scanner(System.in);

    public static void main(String args[]){

        int x;

        x = input.nextInt();

    }

}

 Now, enter the hero, Python:

 x = input()

This is all it takes. No importing of libraries, no curly braces, no semi-colons. Also, programmers don’t need to explicitly specify the data types while declaring a variable. Python compiler does the work itself, based on the type of value assigned to the variable.

Interpreter language or a compiler language?

There are two ways to convert a high-level language to a machine language, namely:

  1. Compilers: Compilers convert high-level programming language to machine bytecodes and then the compiler goes through the syntax and converts the program to a CPU understandable bytecode.
  2. Interpreters: Interpreters take each expression or line of the program and convert it to machine code. The program is then executed. Any syntax error in a line shall display an error only when that line is encountered, like in Unix shell.

Python is a “COMPILED INTERPRETED” language. This can be explained further as follows:

  1. First Python checks for the syntax of the program.
  2. Then Python compiles it and after compilation, converts it to bytecode. The bytecode is then loaded into the system memory.
  3. The compiled bytecode is then interpreted from memory for execution.

Other programming languages like C convert programs to machine code and save them for execution in the disk which the user can then run as a.out

When any Python module is imported into any other program, the program directory would be .pyc which will already be compiled.

Why use Python?

Python, being the most widely used programming language, has multiple uses: 

 

  • Web applications: Python can be utilized and implemented to make up various scalable and secure web applications. By using frameworks like Flask, Django, Pyramid, etc. several amazing web applications can be designed and developed.
  • AI and ML: Artificial intelligence (AI) is the promising new development in the tech domain. Machines can be used to mimic the human brain’s ability to perform cognitive functions like learning and problem-solving. Libraries like Keras, TensorFlow can be used for building the diverse functionalities of machine learning. It helps in learning without being explicitly programmed. 
  • Computer software or desktop applications: GUI can be developed with the help of Python too with open source widget toolkit like Tk used for desktop applications development just like Kivy.
  • Scientific computing application: SciPy and NumPy are the best applications for scientific computations. They have amazing computational power with easy syntax, which makes Python very useful for scientific computing applications.
  • Image processing: Image processing is basically traversing and analyzing images pixel by pixel and Python has numerous libraries for image processing, for example, Pillow, scikit-image, etc.
  • Scripting and automation: Codes are written in the form of scripts and then executed. The machine interprets the code after reading it and error checking is done during the Runtime. After verification, the code can be used several times. Thus the tasks of the program are automated. 
  • Big data: Python supports parallel computing where it can be used for Hadoop as well. Python library ‘Pydoop’ helps you write a MapReduce program in Python and process the data present in the HDFS cluster. Other libraries for big data processing include ‘Dask’ and ‘Pyspark’.
  • Testing framework: Python is well suited for validating ideas for products for established companies. With many built-in testing frameworks, Python is also used for debugging and delivering the fastest workflows, with tools and modules in Selenium and Splinter that make it easier. Cross-platform and cross-browser testing such as Pytest and Robot framework is also supported. Python, in fact, makes the tedious process of testing much faster.

 

However, even with these uses, Python has some shortcomings as well. In fact, many studies have shown that other programming languages like Java are comparatively faster than Python. But, Python can be useful in case you want to develop software quickly or make software maintenance simpler.

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This Post Has One Comment

  1. Enjoyed reading the article above , really explains everything in detail,the article is very interesting and effective.Thank you and good luck for the upcoming articles.

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