5 Reasons Why You Should Choose Python for Big Data
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
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:
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
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
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.