Goal
The goal of this course is to introduce students to programming in Python and equip them with the necessary skills to design and develop simple programs.
Aim
By the end of this course, students should be able to:
- Understand the basic concepts of programming.
- Write programs using Python programming language.
- Work with loops, functions, and conditionals in Python.
- Use libraries and modules in Python.
- Develop a basic understanding of Object-Oriented Programming (OOP).
- Write simple OOP programs using Python.
Module 1: Introduction to Programming
Lesson 1: What is Programming?
- Overview of programming and its importance
- Basic concepts of programming, such as algorithms, data types, variables, and operators
Lesson 2: Introduction to Python
- Introduction to Python as a language for programming
- How to set up a Python environment using Anaconda or IDLE
Lesson 3: Writing Your First Python Program
- Learning the syntax of Python
- Writing simple programs in Python
- Understanding the structure of a Python program
Lesson 4: Debugging Your Python Program
- Understanding the importance of debugging
- Basic debugging techniques in Python
Module 2: Python Data Types and Control
Lesson 5: Python Variables and Data Types
- Understanding Python variables and data types
- Writing programs that manipulate variables and data types
Lesson 6: Python Lists and Dictionaries
- Understanding Python Lists and Dictionaries
- Writing programs that manipulate Lists and Dictionaries
Lesson 7: Python Control Flow Mechanisms (for loops, while loops, if statements)
- Understanding control structures in Python
- Writing programs using loops and conditionals
Lesson 8: Python Functions
- Understanding Python functions
- Writing programs using functions
Lesson 9: Advanced Debugging Techniques
- Common mistakes made when writing code
- Techniques for detecting and fixing errors in code
Module 3: Python Libraries and Modules
Lesson 10: What are libraries and modules?
- Introduction to libraries and modules in Python
- Understanding the purpose of libraries and modules
Lesson 11: Working with Python Libraries (NumPy and Pandas)
- Introduction to NumPy and Pandas libraries
- How to perform arithmetic and data analysis with these libraries
Lesson 12: Working with Python Libraries (Matplotlib and Seaborn)
- Introduction to Matplotlib and Seaborn libraries
- How to create visualizations using these libraries
Lesson 13: Working with Python Modules
- Introduction to Python modules
- Understanding the benefits of using modules
Module 4: Object-Oriented Programming with Python
Lesson 14: Introduction to Object-Oriented Programming (OOP)
- Understanding OOP concepts, such as classes, objects, inheritance, and polymorphism
- Why OOP is important in programming
Lesson 15: Writing Your First Python Class
- Writing classes in Python
- Understanding the syntax of classes
Lesson 16: Working with Python Objects
- Understanding Python objects and their properties
- How to create and manipulate objects in Python
Lesson 17: Inheritance in Python
- Understanding inheritance in Python
- Writing programs using inheritance
Lesson 18: Polymorphism in Python
- Understanding polymorphism in Python
- Writing programs using polymorphism
Lesson 19: Debugging OOP Programs
- Techniques for debugging OOP programs
Module 5: Advanced Python Topics
Lesson 20: Introduction to Web Development with Python
- Introduction to web development with Python
- Basic concepts of HTML and CSS
Lesson 21: Web Scraping with Python
- Understanding web scraping
- How to use Python for web scraping
Lesson 22: Writing Simple GUI Applications with Python
- Introduction to GUI programming with Python
- How to use GUI frameworks such as tkinter to create simple applications
Lesson 23: Working with Databases using Python (SQLite)
- Introduction to databases and how to use them with Python
- How to use SQLite with Python
Lesson 24: Working with JSON
- Introduction to JSON
- How to use Python to work with JSON data
Module 6: Final Project
Lesson 25: Introduction to Final Project
- Overview of the final project
- What is expected in the final project
Lesson 26-29: Final Project Development
- Working on the final project with the help of the instructor
Lesson 30: Final Project Presentations
- Presenting final projects to the class
- Feedback and evaluation of the final projects
Conclusion
This course provides an excellent foundation for students who want to pursue a career in computer science or related fields. The skills learned in this course will help students to develop sophisticated programs and explore various areas of computer science.