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NumPy — Free Course — Fun with Learning Technology

Home›Courses›NumPy

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NumPy

Numerical computing with NumPy arrays

26 topics7 sections26 lessons ready

01

Foundations

5

Introduction to NumPy and ndarray
Creating Arrays — array, zeros, ones, arange, linspace
Array Attributes — shape, dtype, ndim, size
Array Indexing and Slicing
Boolean Masking and Fancy Indexing

02

Array Operations

5

Element-wise Arithmetic
Broadcasting Rules
Universal Functions (ufuncs)
Aggregation — sum, mean, min, max, std
Comparison and Logical Operations

03

Manipulation

4

Reshaping and Transposing
Stacking — vstack, hstack, concatenate
Splitting Arrays
Flattening and Raveling

04

Math and Linear Algebra

4

Mathematical Functions — sqrt, exp, log
Linear Algebra — dot, matmul, inv, eig
Solving Linear Systems
NumPy for Statistics

05

Random Module

3

Random Number Generation
Distributions — normal, uniform, binomial
Setting Seeds for Reproducibility

06

Performance

3

NumPy vs Python Lists — Speed Comparison
Memory Layout — C vs Fortran order
Vectorization Best Practices

07

Interview Prep

2

NumPy Interview Questions
NumPy Coding Challenges

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