In this blog, we will know 5 Reasons why you Should choose python for Big Data…. Firstly, we will discuss what is Python.

What is Python?

Python is a computer programming language that is used to make websites and software, and conduct data analysis. 

                  In another word we can say that Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn't specialized for any specific problems

1. Python and Big Data: A Perfect Combination

Python provides advanced support for image and voice data due to its inbuilt features of supporting data processing for unstructured and unconventional data which is a common need in big data when analyzing social media data. This is another reason for making Python and big data useful to each other.

Python is an excellent tool and a perfect fit as a python big data combination for data analysis for the below reasons:

• Open source

• Library Support

• Speed

• Scope

• Data Processing Support

Why You Should Choose Python for Big Data

1. Python is a Free and Open-Source language

Python language is freely available at the official website you can easily download

2. Easy to code

Python is a high-level programming language. Python is very easy to learn the language as compared to other languages like C, C#, JavaScript, Java, etc. It is very easy to code in the Python language and anybody can learn Python basics in a few hours or days. It is also a developer-friendly language.

3. Large Standard Library

Python has a large standard library that provides a rich set of modules and functions, so you do not have to write your own code for everything. There are many libraries present in Python such as web browsers, etc

4. Frontend and backend development

With a new project pie script, you can run and write Python codes in HTML with the help of some simple tags <pie-script>, <pie-env>, etc. This will help you do frontend development work in Python like JavaScript. Backend is the strong forte of Python it’s extensively used for this work because of its frameworks like Flask

5. Allocating Memory Dynamically

In Python, the variable data type does not need to be specified. The memory is automatically allocated to a variable at runtime when it is given a value. Developers do not need to write int y = 18 if the integer value 15 is set to y. You may just type y=18.