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NumPy Interview Preparation

NumPy Interview Prep—Crack Top Company Interviews & Land Your Dream Job!

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NumPy Interview Preparation

4 Modules

Course Curriculum

4 Modules · 14 Chapters · 14 Topics · 104 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

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

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

Advanced Indexing Part 1

1 Topics

Boolean and Integer Indexing

6 Sub-topics

Boolean Indexing Basics

Boolean Masks with Conditions

Multiple Boolean Conditions

Integer Array Indexing

Fancy Indexing with 1D Arrays

Fancy Indexing with 2D Arrays

Advanced Indexing Part 2

1 Topics

Advanced Selection Techniques

6 Sub-topics

Using np.where()

Using np.select()

Using np.take() and np.put()

Using np.choose()

Index Arrays and Broadcasting

Advanced Indexing Performance

Memory Management and Optimization

1 Topics

Memory and Performance

8 Sub-topics

Understanding Memory Layout

C-contiguous vs F-contiguous

Memory Views and Strides

Copy vs View - Deep Dive

Memory-efficient Operations

Using np.may_share_memory()

Avoiding Unnecessary Copies

Optimizing Large Array Operations

Performance and Best Practices

1 Topics

Optimization and Best Practices

8 Sub-topics

Avoiding Python Loops

Preallocating Arrays

Using In-place Operations

Efficient Array Concatenation

Leveraging Broadcasting

Choosing Appropriate Data Types

Profiling NumPy Code

Common Performance Pitfalls

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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NumPy Interview Preparation

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Course Curriculum

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NumPy Interview Preparation

Certificate of Completion

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