This course introduces you to the powerful NumPy library, which is the backbone for numerical and scientific computations in Python. You will learn how to create, manipulate, and operate on arrays, understand their key properties, and use array-based operations for efficient computations.
Overview
Syllabus
- Lesson 1: Introduction to NumPy and Array Creation Techniques
- Space Fruit Salad Array Count
- Salad Recipe Array Initialization
- Array Creation for a Fruit Salad Recipe
- Creating a NumPy Array for Salad Ingredients
- Lesson 2: Basic Array Operations in NumPy
- Retail Sales Growth Calculation
- Applying Discounts with NumPy
- Calculating Total Revenue in Retail Sales
- Calculating Discounted Prices with NumPy
- Lesson 3: Array Indexing and Slicing in NumPy
- Spectrogram Time Slice Analysis
- Spectrogram Slicing Mission
- Spectrogram Slice Adjustments
- Accessing Elements in 2D NumPy Arrays
- Decoding the Amplitude: Write NumPy Array Operations
- Lesson 4: Array Shape and Reshape
- Reshaping the Puzzle Floor
- Reshape the Game Pieces
- Reshape the Toy Array
- Reshape the Universe of Toys and Games
- Lesson 5: Boolean Indexing and Fancy Indexing in NumPy
- Warm and Selected Days Data Analysis
- Chilly Weather Selector
- Weather Analysis Code Correction
- Exploring Weather Patterns with NumPy
- Lesson 6: Basic Statistical Operations in NumPy
- Class Performance Statistics with NumPy
- Statistical Insight: Finding the Mode
- Exploring Classroom Performance with NumPy
