Python for Data Science: Chapter 2: Functions and Files

Python Libraries

Python has rich set of libraries. These libraries are useful for data analysis, machine learning, web development, automation, graphics and many more.

Python Libraries

Python has rich set of libraries. These libraries are useful for data analysis, machine learning, web development, automation, graphics and many more. Some commonly used Built‒in libraries are enlisted in the following list

 

Library     :     Description

maths ‒ It provides mathematical functions such as sqrt, sin, factorial and so on.

random ‒ It generate random numbers.

datetime ‒ It works with date and time.

os ‒ It interacts with operating system ‒ file paths, environment variables.

sys ‒ It is used to handle system specific parameters and functions.

re ‒ This library is used for using regular expressions for text pattern matching.

statistics ‒ For basic statistical functions such as computing mean, median and mode this library is used.

numpy ‒ This library is used for data analysis purpose. It contains the functionality for numerical computing and arrays.

pandas ‒ This library used for data analysis purpose. It contains functionalities for data manipulation and analysis using dataframes.

Matplotlib ‒ This library contains the functions that are used for data visualization such as plots, graphs etc.

 

Python for Data Science: Chapter 2: Functions and Files : Tag: Computer Programming, Python, Data Science : - Python Libraries


Python for Data Science: Chapter 2: Functions and Files



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