Life of Python

 python has became most demanding computer language with in 2 decades. Reasons behind are so many among them  click Here for more

        1.interpreted language

        2.no need to compile

        3.Dynamic programming type

        4.less lines of code

        5.supports object oriented programming language(OOPS)

        6.support various libraries involving data science, machine learning, MongoDB,                      Django etc

        7.support various built in modules:

                                                    * os

                                                     *sys

                                                     *math

                                                     *random

                                                     *date time

                                                     *JSON

python improves its availability for Data analytics with various platforms libraries Tensorflow, math kernel, opencv, pytorch, basic linear algorithm, Free Type, libpng, boost

It is an environment variable which is used when a module is imported. Whenever a module is imported, PYTHONPATH is also looked up to check for the presence of the imported modules in various directories. The interpreter uses it to determine which module to load.

Writing Python code is quick but running it is often slower than compiled languages. Fortunately，Python allows the inclusion of C based extensions so bottlenecks can be optimized away and often are. The numpy package is a good example of this, it’s really quite quick because a lot of the number crunching it does isn’t actually done by Python

 use in many spheres – web applications, automation, scientific modeling, big data applications and many more. It’s also often used as “glue” code to get other languages and components to play nice.