Week 2: NumPy: Arrays & Vectorized Computing

Numerical arrays, vectorization, broadcasting, linear algebra, random

📌 Strategy & Study Guidance

Build incrementally. Master fundamentals before advanced topics.

Blocks

Block 11 Monday

NumPy Intro & Array Creation

 Block 12 Monday

Array Creation Helpers & Shapes

 Block 13 Tuesday

Indexing & Slicing (1D)

 Block 14 Tuesday

Indexing & Slicing (2D)

 Block 15 Wednesday

Boolean Masks & Fancy Indexing

 Block 16 Wednesday

Vectorized Operations & Broadcasting

 Block 17 Thursday

Aggregations & Statistics

 Block 18 Thursday

Linear Algebra Basics

 Block 19 Friday

Random Numbers & Simulation

 Block 20 Friday

Mini-Project: NumPy Numeric Simulation

📺 20 Curated YouTube Videos

▶ NumPy Full Course freeCodeCamp ▶ NumPy Practical Intro SciPy 2024 ▶ NumPy Tutorial for Beginners Intellipaat ▶ NumPy for ML Imarticus ▶ NumPy Arrays Patrick Loeber ▶ NumPy Arrays Tutorial freeCodeCamp ▶ Vectorized Computing SciPy 2024 ▶ NumPy Broadcasting Intellipaat ▶ NumPy Data Science Imarticus ▶ NumPy Linear Algebra freeCodeCamp ▶ NumPy Performance SciPy 2024 ▶ NumPy Random Intellipaat ▶ NumPy Indexing freeCodeCamp ▶ NumPy Math Functions Intellipaat ▶ NumPy Best Practices SciPy 2024 ▶ NumPy Reshape freeCodeCamp ▶ NumPy Matrix Ops Imarticus ▶ NumPy Advanced Intellipaat ▶ NumPy Complete Guide freeCodeCamp ▶ Scientific Python NumPy SciPy 2024

📋 Cheat Sheets

Quick Reference

Core syntax and common patterns for this week. Week 2 - Numerical arrays, vectorization, broadcasting, linear algebra, random

API Cheat Sheet

Key functions and methods. Week 2 - Numerical arrays, vectorization, broadcasting, linear algebra, random

Best Practices

Style and performance tips. Week 2 - Numerical arrays, vectorization, broadcasting, linear algebra, random

💻 Code Snippets

Basic Example

# Week 2: NumPy: Arrays & Vectorized Computing
# Basic pattern for this topic
result = process(data)

Common Pattern

# Week 2: NumPy: Arrays & Vectorized Computing
# Frequently used pattern

Quick Start

# Week 2: NumPy: Arrays & Vectorized Computing
# Minimal working example

📊 Visualizations & Diagrams

Concept Diagram

flowchart LR
  A[Input] --> B[Process]
  B --> C[Output]

Paste into mermaid.live to render

Workflow

Step 1 -> Step 2 -> Step 3

Assessment

📝 Week 2 Assessment (Practice + AI Analysis)