Revise and Learn all Your Concepts

Introduction

Array creation

np.array() - Create a NumPy array
np.zeros() - Create an array of zeros
np.ones() - Create an array of ones
np.random.rand() - Create an array of random values
Array indexing

Universal
Functions

ufuncs

File I/O

Linear Algebra

Random Number
Generation

random.rand()
random.normal()

Miscellaneous

permutation()

exponential()

hypergeometric()

negative_binomial()

standard_cauchy()

standard_exponential()

standard_gamma()

standard_normal()

Array Operations

Basic Operations

Advanced Operations

Data Types

Data Types

NumPy's data types

Type Conversion

astype()

Hyperbolic
Functions

sinh() - Compute the hyperbolic sine of an array

cosh() - Compute the hyperbolic cosine of an array
tanh() - Compute the hyperbolic tangent of an array
arcsinh() - Compute the inverse hyperbolic sine of an array
arccosh() - Compute the inverse hyperbolic cosine of an array
arctanh() - Compute the inverse hyperbolic tangent of an array

Array
Manipulation

Reshaping arrays

reshape() - Changing the shape of an array
flatten() - Flattening an array
ravel() - Flattening an array, returning a 1D array

Concatenating arrays

concatenate() - Joining multiple arrays together
stack() - Stacking arrays along a new axis
hstack() - Stacking arrays horizontally (column-wise)
vstack() - Stacking arrays vertically (row-wise)

Fancy Indexing

Boolean indexing

Boolean array indexing - Selecting elements based on boolean conditions

Advanced indexing

Advanced indexing

Linear Algebra