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
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