NumPy Library

10.
Linear Algebra Operations
10.1.
Basic Linear Algebra
10.1.1.
Matrix Multiplication
10.1.1.1.
dot()
10.1.1.2.
matmul()
10.1.1.3.
@ Operator
10.1.2.
Vector Operations
10.1.2.1.
inner()
10.1.2.2.
outer()
10.1.2.3.
cross()
10.1.2.4.
vdot()
10.1.3.
Matrix Properties
10.1.3.1.
trace()
10.1.3.2.
diagonal()
10.2.
Advanced Linear Algebra (numpy.linalg)
10.2.1.
Matrix Decompositions
10.2.1.1.
cholesky()
10.2.1.2.
qr()
10.2.1.3.
svd()
10.2.1.4.
lu()
10.2.2.
Eigenvalue Problems
10.2.2.1.
eig()
10.2.2.2.
eigh()
10.2.2.3.
eigvals()
10.2.2.4.
eigvalsh()
10.2.3.
Matrix Analysis
10.2.3.1.
det()
10.2.3.2.
slogdet()
10.2.3.3.
matrix_rank()
10.2.3.4.
cond()
10.2.4.
Norms
10.2.4.1.
norm()
10.2.4.2.
Vector Norms
10.2.4.3.
Matrix Norms
10.2.5.
Solving Linear Systems
10.2.5.1.
solve()
10.2.5.2.
lstsq()
10.2.5.3.
tensorsolve()
10.2.6.
Matrix Inversion
10.2.6.1.
inv()
10.2.6.2.
pinv()
10.2.6.3.
tensorinv()

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11. Random Number Generation