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Why the Python programming language shines for data science, machine learning, systems automation, web and API development, and more

Python has emerged recently as a first-class language recently for software development, data analysis and infrastructure management.Not only this python can be used for web application development and systems management and data analytics too.

 

Why python is highly demanded

It provides some advantages for all programmers both beginners and experts alike.

Advantages

  • Features are modest

  • Easy to learn and use

 

Python is broadly accepted

Python is both popular and widely used, as the high rankings in surveys like the Tiobe Index and the large number of GitHub projects using Python attest. It is platform independent makes it more popular among professionals. Many major libraries and API-powered services

have Python bindings or wrappers, letting Python interface freely with

those services or directly use those libraries.

 

Easy up-gradation

Whenever a new version is introduced in  the market, new and new features are included.This makes language more colorful.

Usage

The most basic use case for Python is as a scripting and automation language. Python isn’t just a replacement for shell scripts or batch files; it is also used to automate interactions with web browsers or application GUIs or to do system provisioning.

Application programming with Python

You can create both command-line and GUI based applications with Python and deploy them as self-contained executables. Python doesn’t have the native ability to generate a standalone binary from a script, but third-party packages like cx_Freeze and PyInstaller can be used to accomplish that.

Data science with Python

Data analysis has become one of fastest-moving areas of IT and one of Python’s uses. The  majority of the libraries used for data science or machine learning have Python interfaces, making the language the most popular high-level command interface to for machine learning libraries and other numerical algorithms.

Python’s libraries

The success of Python depends on first- and third-party software. Python benefits from both a strong standard library and a generous assortment of easily obtained and readily used libraries from third-party developers. Python has been enriched by decades of expansion and contribution.

Python’s standard library provides modules for common programming tasks—math, string handling, file and directory access, networking, asynchronous operations, threading, multiprocess management, and so on. But it also includes modules that manage common, high-level programming tasks needed by modern applications: reading and writing structured file formats like JSON and XML, manipulating compressed files, working with internet protocols and data formats (webpages, URLs, email). Most any external code that exposes a C-compatible foreign function interface can be accessed with Python’s ctypes module.

Comparison to other languages

 

 

Unlike other programming languages, python has a high rating as seen in the figure. Java, C++, PHP,Javascript, C# are the other prominent languages used alternates for programming.

 

Summary

Python language made prominent position in programming languages with its modest features and easy to handle.

It is a highly demanded and broadly accepted language among programmers nowadays.

Application programming, Data science and Machine learning can be made easy with the help  of python

A wide number of libraries are available for python programming made it is more fascinated to programmers.

When compared to other languages in market, pythons rating is high.

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