This content originally appeared on DEV Community and was authored by Onaolapo-11
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:
Halvorsen, H. (n.d.). Python. https://halvorsen.blog/documents/programming/python/python.php#python4
Santarcangelo, J. (n.d.). Python for data science, AI & development [MOOC]. Coursera. https://coursera.org/learn/python-for-applied-data-science-ai
This content originally appeared on DEV Community and was authored by Onaolapo-11
Onaolapo-11 | Sciencx (2025-10-24T00:04:33+00:00) Module 1 Quiz and Glossary. Retrieved from https://www.scien.cx/2025/10/24/module-1-quiz-and-glossary/
Please log in to upload a file.
There are no updates yet.
Click the Upload button above to add an update.