Basic Python Programming Language
Course Description:
This course introduces Python programming, covering essential concepts and tools for beginner programmers. Python, known for its simplicity and versatility, is widely used in various fields such as web development, data science, and automation. The course introduces programming concepts, emphasizing Python’s advantages and widespread adoption. Students will learn about Python’s working environments (such as IDLE), basic data types (numbers, strings), and operations involving variables.
The course covers:
– Basic concepts: Numbers, strings, variables, and operators.
– Control flow: Conditional statements (`if`), and loops (`while`, `for`).
– Functions: Creating user-defined functions, using parameters, recursion, and lambda functions.
– Data structures: Lists, tuples, dictionaries, and sets, along with their built-in methods and functions.
– String operations: Handling strings using Python’s built-in functions.
– File handling: Reading from and writing to files.
– Object-Oriented Programming (OOP): Understanding classes, objects, attributes, and methods.
By the end of the course, students will be able to write Python programs that involve real-world problem-solving, manipulate different types of data structures, and understand the basics of OOP.
Prerequisites: No prior programming knowledge is required.
Course Objectives:
1. Understand what a programming language is and the advantages/disadvantages of Python.
2. Get hands-on experience with Python installation and working environments (IDLE).
3. Gain proficiency in working with numbers, strings, variables, and operators.
4. Write expressions, statements, and perform basic string and mathematical operations.
5. Develop the ability to use control flow mechanisms such as conditional statements and loops.
6. Learn to write and call functions, including recursion and lambda functions.
7. Work with Python’s core data structures (lists, tuples, dictionaries, and sets), leveraging built-in methods.
8. Handle input/output operations and file manipulations.
9. Grasp the fundamentals of object-oriented programming, including classes and objects.
This course prepares students for further exploration of Python in areas such as web development, automation, and data science.
