Skip to content
⏱ 1 minute read

Python for Math & ML

Essential Python tools for mathematical computing and machine learning.

Core Stack

Library Purpose Install
NumPy Arrays, linear algebra, FFT pip install numpy
SciPy Optimization, integration, stats pip install scipy
Matplotlib 2D plotting pip install matplotlib
SymPy Symbolic math pip install sympy
Jupyter Interactive notebooks pip install jupyter

Quick Start: NumPy Essentials

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
import numpy as np

# Create arrays
a = np.array([1, 2, 3])          # Shape: (3,)
M = np.array([[1, 2], [3, 4]])    # Shape: (2, 2)

# Operations
print(M @ M)                       # Matrix multiply
print(M.T)                         # Transpose
print(M @ M.T)                     # Symmetric product
print(np.linalg.eigh(M))           # Eigenvalues/eigenvectors
print(np.linalg.svd(M))            # SVD

Manim Setup (WSL)

1
2
3
4
5
6
# Install Manim in WSL Ubuntu
pip install manim
sudo apt-get install -y latexmk texlive-latex-extra dvisvgm

# Render a scene
manim -pql scene.py SceneName