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Onaolapo-11

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Module 1 Quiz and Glossary

I took the final exercise (scored 80%) and read the Glossary of Python for Data Science, AI & Development Course (IBM) (Santarcangelo, n.d.), the final stages, after having completed Module 1 of the course.

Day 65 [October 23, 2025]

I need to buckle down, as I'm still lagging on day day 3 & 4 goals, "Day 3-4: Control structures (if-else, loops)", as well as day 5 (and 6) goals, "Day 5-6: Functions and modules", and Day 7 target (exercises) (Meta AI, personal communication, August 8, 2025). If I haven't covered this, I can't make progress on day 8 - 63 goals.

Goals:
As extracted from the 'Python for Software Development' textbook by Halvorsen (n.d.):

  • The New Age of Programming ✅
  • What is Python? ✅
  • Introduction to Python ✅
  • Interpreted vs. Compiled ✅
  • Python Packages ✅
  • Python Packages for Science and Numerical Computations ✅
  • Python Editors ✅
  • Python IDLE ✅
  • Visual Studio Code ✅
  • Variables ✅
  • Numbers ✅
  • Strings ✅
  • String Input✅
  • Built-in Functions✅
  • Python Standard Library✅
  • Using Python Libraries, Packages and Modules✅
  • Python Packages✅
  • Plotting in Python ✅
  • Subplots✅
  • Exercises✅
  • If ... Else
  • Arrays
  • For Loops
  • Nested
  • For Loops
  • While Loops
  • Exercises
  • Creating Functions in Python - Introduction
  • Functions with multiple return values
  • Exercises
  • Creating Classes in Python
  • The init () Function
  • Exercises
  • Creating Python Modules
  • Exercises

Notes:
Python for Data Science, AI & Development Course (IBM) (Santarcangelo, n.d.):
Module 1: Python Basics
• About the Course
• Types
• Expressions and Variables
• String Operations

I took the final exercise (scored 80%) and read the Glossary of Python for Data Science, AI & Development Course (IBM) (Santarcangelo, n.d.), the final stages after having completed Module 1 of the course.

Reading the glossary was a good way to refresh my memory and/or to learn.

Summary:
I took the final exercise (scored 80%) and read the Glossary of Python for Data Science, AI & Development Course (IBM) (Santarcangelo, n.d.), the final stages after having completed Module 1 of the course.

References:

  1. Halvorsen, H. (n.d.). Python. https://halvorsen.blog/documents/programming/python/python.php#python4

  2. Santarcangelo, J. (n.d.). Python for data science, AI & development [MOOC]. Coursera. https://coursera.org/learn/python-for-applied-data-science-ai

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