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NumPy Course for Beginners

Your first step to data science—master NumPy, unlock endless career possibilities!

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NumPy Course for Beginners

3 Modules

Course Curriculum

3 Modules · 7 Chapters · 7 Topics · 53 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

Array Indexing and Slicing

1 Topics

Accessing Array Elements

9 Sub-topics

Basic Indexing in 1D Arrays

Basic Indexing in 2D Arrays

Basic Indexing in 3D Arrays

Negative Indexing

Slicing 1D Arrays

Slicing 2D Arrays - Rows and Columns

Slicing with Step Values

Slicing Multi-dimensional Arrays

Understanding Views vs Copies

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

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

Array Manipulation Part 1

1 Topics

Reshaping and Transforming Arrays

6 Sub-topics

Reshaping Arrays - reshape()

Flattening Arrays - flatten() and ravel()

Transposing Arrays

Swapping Axes

Adding Dimensions - np.newaxis

Squeezing Dimensions

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NumPy Course for Beginners

Certificate of Completion

Course Curriculum

Student Reviews

Frequently Asked Questions

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NumPy Course for Beginners

Certificate of Completion

Course Curriculum

Student Reviews

Frequently Asked Questions

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