Data Science
1,057 learners
NumPy Basics
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.
Numpy
Python
See path
6 lessons
24 practices
3 hours
Badge for Coding and Data Algorithms,
Coding and Data Algorithms
Lessons and practices
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
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