SciPy
Scientific ComputingLibrary for mathematics, science, and engineering. Builds on NumPy.
Installation
pip install scipyDocumentation
Official DocsChapters Using SciPy
Chapter 2: Calculus and Optimization (Mathematical Foundations for Machine Learning)
Chapter 3: Probability and Statistics (Mathematical Foundations for Machine Learning)
Chapter 30: Exploratory Data Analysis (Data Science: Process & Practice)
Chapter 31: Feature Engineering & Selection (Data Science: Process & Practice)
Chapter 33: Descriptive Statistics & Distributions (Statistics & Statistical Inference)
Chapter 34: Probability Distributions in Depth (Statistics & Statistical Inference)
Chapter 35: Sampling & Estimation (Statistics & Statistical Inference)
Chapter 37: Resampling & the Bootstrap (Statistics & Statistical Inference)
Chapter 38: Bayesian Inference (Statistics & Statistical Inference)
Chapter 39: Regression & Generalized Linear Models (Statistics & Statistical Inference)
Chapter 40: Experimental Design & A/B Testing (Statistics & Statistical Inference)
Chapter 46: Time Series Fundamentals (Time Series Analysis & Forecasting)
Chapter 47: Classical Forecasting: ARIMA & ETS (Time Series Analysis & Forecasting)