Every profession has specialization, and probably IT has most number of specialization ever exists as compare to other profession. But some common skills may help you to sustain longer, these are SQL,UNIX,Python. Now, you may think why Python? why not Java,C++,C# or any other language? the simple answer is flexibility to fit with different technologies. From testing to web development,automation to AI, Bigdata to ML, probably there is no field where Python does not exists. Now lets check top five reason to learn Python.

Number 5: Web Development and Automation Testing

Python can provide a power full and cost effective backend for Websites. Some popular web frameworks are Django and Flask. REST API is also available on Python. Web based application can be tested using Python with selenium frame work.

Number 4: Analytics and ML

The success behind Python on analytics is its robust library support for analytical purpose. ‘Numpy’ and ‘Pandas’ are the two most populate library which contributes most to Python's success in analytics. But it is just not only to analyze data and showing in graphs, Python can crawl data from any website for you to do research over it. Crawler is very popular for competition analysis for eCommerce websites.

Number 3 Flexibility with Linux

Each and every enterprise Linux distribution comes with builtin Python and can be use from unix shell. So if you are some one who uses shells script to automate things in Linux, probably it is high time to move to Python as it is way more feature rich and easy than shells script. Python is object oriented so you can achieve higher re-usability of codes in Python. Also, thousands of library is waiting for you in Python which can do awesome things that can not think to be present in any shell like language.

Number 2: Bigdata Analytics (Python will replace PL/SQL)

Traditional RDMS systems are now reaching its highest capacity beyond which it can not function. Every organization is trying hard to move to Bigdata to get business inputs fast to take smart moves in this data driven era. PL/SQL or T-SQL was the language to get effective analytical report from RDMS system but as RDMS is falling so demand of these two language will also fall in next counple of years. Python in Bigdata filling this gap to generate report and analysing data using PySpark library. However Python is not only the language which can be use for Bigdata analytics, R and Scala is also getting popular these days.

Number 1: Easy and Effective

Check Syntax (Python Vs Popular languages)

print "Hello, world!"

#include 
using namespace std;

int main() 
{
    cout << "Hello, World!";
    return 0;
}

using System;
class Program
{
    public static void Main(string[] args)
    {
        Console.WriteLine("Hello, world!");
    }
}

public class HelloWorld {

    public static void main(String[] args) {
        // Prints "Hello, World" to the terminal window.
        System.out.println("Hello, World");
    }

}

Basic Python do not need much time to understand and basic is enough to use advance library modules. Python programmers do not need to give special care to datatypes, Python can determine datatypes in run time. Also, oops features are very rich and less complex with respect to JAVA or C#.

Conclusion

Probably Python is the only multipurpose language which is supported by these many different technologies. The use of Python seems to be increase in next couple of years. Also, Most of the cloud platforms has there API available on Python. All of this put together we can say Python worth learning.