1.5. Exercises (lab01)#
This ungraded assignment is composed of 26 NumPy exercises divided in three difficulty levels: beginner, intermediate, and advanced. In order to understand and solve the exercises, and more generally to gain the maximum benefit from this tutorial, it is highly recommended that you read Chapter 1 of the course notes available on Blackboard.
1.5.1. Contents#
Part 1. Beginner level
Exercise |
Topic |
|---|---|
Quiz 1.1 |
Array creation I |
Quiz 1.2 |
Array creation II |
Quiz 1.3 |
Attribute |
Quiz 1.4 |
Reshaping |
Quiz 1.5 |
Vectorization I |
Quiz 1.6 |
Vectorization II |
Quiz 1.7 |
Keyword |
Quiz 1.8 |
Simple indexing |
Quiz 1.9 |
Slicing |
Part 2. Intermediate level
Exercise |
Topic |
|---|---|
Quiz 2.1 |
Creation |
Quiz 2.2 |
Slicing I |
Quiz 2.3 |
Slicing II |
Quiz 2.4 |
Reshaping I |
Quiz 2.5 |
Reshaping II |
Quiz 2.6 |
Reshaping III |
Quiz 2.7 |
Indexing |
Quiz 2.8 |
Broadcasting |
Quiz 2.9 |
Scalar product |
Part 3. Advanced level
Exercise |
Topic |
|---|---|
Quiz 3.1 |
Checkboard |
Quiz 3.2 |
Column swapping |
Quiz 3.3 |
Find minimum |
Quiz 3.4 |
Sum pairs of cols |
Quiz 3.5 |
Softmax |
Quiz 3.6 |
Linear regression |
Quiz 3.7 |
Pairwise distances |
Quiz 3.8 |
Advanced indexing |
1.5.2. Required packages#
For this assignment, you need to import the following packages.
Numpy - The fundamental package for scientific computing with Python.