Python Programming
Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. Python supports many programming paradigms, including object-oriented, functional, and procedural programming. Its design philosophy emphasizes code readability, simplicity, and its syntax allows programmers to express concepts in fewer lines of code than possible in other popular programming languages. Python is very extensible and the modularity of this language has made it popular for adding interfaces to existing applications.[1]
This course comprises 16 lessons on Python programming using Python 3. Each lesson includes a combination of Wikipedia and Internet-based readings, YouTube videos, and hands-on learning activities.
Preparation
[edit | edit source]This is a second-semester, college-level course. Learners should already be familiar with introductory computer concepts and have advanced or proficient-level computer skills.
Lessons
[edit | edit source]- Introduction
- Variables
- Conditions
- Loops
- Functions
- Strings
- Lists
- Dictionaries
- Tuples and Sets
- Classes
- Modules
- RegEx
- Files
- Internet Data
- Databases
- GUI
See Also
[edit | edit source]- Computer Programming
- Python
- Python Concepts
- Wikipedia: Python (programming language)
- Wikibooks: Python Programming
- PythonLearn.com
- Microsoft MVA: Introduction to Programming with Python
- Open Book Project: Beginning Python Programming
- Digital Ocean: How to Code in Python3
- Interactive Python: How to Think Like a Computer Scientist
- PracticePython.org
- WsCube Tech Python Tutorial
- AutomateTheBoringStuff.com Python Book
- FutureLearn: Programming 101: An Introduction to Python for Educators
Participation
[edit | edit source]This section is for the purpose of optionally documenting one's participation process in the course. Here might be notes by learners who might document their learning process and how they view the learning materials and/or how they interacted with them, contributed content or ideas regarding interacting with it. It may include participants experiences with material. Their motivation reasons for participating in the course as a whole and for parts of the course.
Bibliography
[edit | edit source]- Severance, C. (2013). Python for Informatics: Exploring Information
- Severance, C. (2016). Python for Everybody