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NumPy for Numerical Computing

Transform numbers into insights—master numerical computing with NumPy!

4.4
Intermediate

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NumPy for Numerical Computing
4 Modules

Course Curriculum

4 Modules · 12 Chapters · 12 Topics · 94 Sub-topics

01
Foundation
3 Chapters · 3 Topics · 21 Sub-topics
Introduction to NumPy
1 Topics
NumPy Fundamentals
5 Sub-topics
What is NumPy and Why Use It
Installing NumPy
Importing NumPy
NumPy vs Python Lists
Understanding ndarray Object
NumPy Array Fundamentals
1 Topics
Array Basics
6 Sub-topics
Creating 1D Arrays
Creating 2D Arrays
Creating 3D Arrays
Array Attributes - shape, size, ndim
Array Attributes - dtype and itemsize
Checking Array Type
Array Creation Methods
1 Topics
Array Creation Techniques
10 Sub-topics
Creating Arrays with np.array()
Creating Arrays with np.zeros()
Creating Arrays with np.ones()
Creating Arrays with np.empty()
Creating Arrays with np.full()
Creating Identity Matrices - np.eye() and np.identity()
Creating Arrays with np.arange()
Creating Arrays with np.linspace()
Creating Arrays with np.logspace()
Creating Arrays from Existing Data
02
Mathematical Operations
3 Chapters · 3 Topics · 22 Sub-topics
Array Operations Part 1
1 Topics
Basic Array Operations
7 Sub-topics
Element-wise Addition
Element-wise Subtraction
Element-wise Multiplication
Element-wise Division
Floor Division and Modulo
Exponentiation
Square Root and Power Functions
Array Operations Part 2
1 Topics
Advanced Array Operations
5 Sub-topics
Comparison Operators
Logical Operations - AND, OR, NOT
Universal Functions (ufuncs) Overview
Unary ufuncs
Binary ufuncs
Mathematical Functions
1 Topics
NumPy Math Functions
10 Sub-topics
Trigonometric Functions - sin, cos, tan
Inverse Trigonometric Functions
Hyperbolic Functions
Rounding Functions - round, floor, ceil
Exponential and Logarithmic Functions
Absolute and Sign Functions
Minimum and Maximum Functions
Sum and Product Functions
Cumulative Sum and Product
Difference Function
03
Linear Algebra
3 Chapters · 3 Topics · 25 Sub-topics
Broadcasting
1 Topics
NumPy Broadcasting Mechanism
7 Sub-topics
Understanding Broadcasting Rules
Broadcasting with Scalars
Broadcasting 1D with 2D Arrays
Broadcasting Compatible Dimensions
Broadcasting Incompatible Arrays
Practical Broadcasting Examples
Broadcasting Best Practices
Linear Algebra with NumPy
1 Topics
Matrix Operations and Linear Algebra
10 Sub-topics
Matrix Multiplication - dot and matmul
Inner and Outer Products
Matrix Determinant
Matrix Inverse
Matrix Rank
Eigenvalues and Eigenvectors
Matrix Decomposition - SVD
Solving Linear Systems
Matrix Norms
Matrix Trace
Statistical Operations
1 Topics
Statistical Analysis with NumPy
8 Sub-topics
Mean, Median, and Mode
Standard Deviation and Variance
Percentiles and Quantiles
Correlation Coefficient
Covariance
Histogram Functions
Statistical Aggregations with Axis
Weighted Averages
04
Scientific Applications
3 Chapters · 3 Topics · 26 Sub-topics
Random Number Generation
1 Topics
Random Numbers and Distributions
10 Sub-topics
Understanding Random Seed
Random Integer Generation
Random Float Generation
Random Choice and Sampling
Random Permutations and Shuffling
Normal Distribution
Uniform Distribution
Binomial and Poisson Distributions
Custom Distribution Sampling
Random Generator Object (new API)
Advanced Operations
1 Topics
Advanced NumPy Techniques
9 Sub-topics
Array Iteration - nditer
Custom Iteration Flags
Vectorization Techniques
Using np.vectorize()
Creating Custom ufuncs
Applying Functions - np.apply_along_axis()
Element-wise Conditionals - np.where() Advanced
Clipping Values - np.clip()
Replacing Values - np.nan_to_num()
Practical NumPy Applications
1 Topics
Real-world NumPy Usage
7 Sub-topics
Image Processing Basics
Signal Processing Operations
Time Series Analysis
Numerical Computing
Data Transformation Pipelines
Batch Processing
Scientific Computing Examples

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