Data science

Why Python and how popular is it for Data Science?

Python has rapidly become the go-to language in the data science space and is among the first things recruiters search for in a data scientist's skill set.
It consistently ranks top in global data science surveys and its widespread popularity will only keep on increasing in the coming years.
Over the years, with strong community support, this language has obtained a dedicated library for data analysis and predictive modelling.

lets familiar with most commonly used data type in python:-

In Python, there are several built-in data types that can be used to store different kinds of data. Some of the most commonly used data types are:

1. Integer (int) - a whole number, for example = (42).

2. Float (float) - a real number, for example = (3.14).

3. String (str) - a sequence of characters, for example =
"Hello, World!"

4. Boolean (bool) - a value that can be either True or False.

5. List (list) - an ordered collection of values, for example =
[1,2,3,4,5,6]

6. Tuple (tuple) - an ordered, immutable collection of values, for
example = (1, 2, 3).

7. Set (set) - an unordered collection of unique values, for
example, {1, 2, 3}.

Dictionary (dict) - an unordered collection of key-value pairs, for
example, {'name': 'John', 'age': 30}.