1.6 Introduction to Numpy

Dependencies

Refer to the following markdown file for the respective sections of the class:

• Self Studies
• Lesson
• Assignment
• Quiz
• Reference

Lesson Objectives

Learners will understand:

• Jupyter Notebook
• Jupyter extension in VSCode
• Numpy library and its importance in data science

Learners will be able to:

• Use Jupyter Notebook to execute python code and markdown
• Use Jupyter extension in VSCode for Notebook
• Use Numpy library to perform basic mathematical, statistical and linear algebra operations on arrays
• Use Numpy library for basic data analysis

Lesson Plan

Duration	What	How or Why
- 5mins	Start zoom session	So that learners can join early and start class on time.
30 mins	Activity	Recap on self-study and prework materials.
30 mins	Code-along	Introduction to Jupyter Notebook, how to install and start server.
	1 HR MARK
20 mins	Code-along	Use Jupyter Notebook to execute python code and markdown. Use Jupyter extension in VSCode for Notebook.
10 mins	Break
30 mins	Code-along	Introduction to Numpy and arrays. Use Numpy library to perform basic mathematical operations.
	2 HR MARK
50 mins	Code-along	Use Numpy library to perform statistical and linear algebra operations. Use Numpy library for basic data analysis.
10 mins	Briefing / Q&A	Brief on references, assignment, quiz and Q&A.
	END CLASS 3 HR MARK