Python Programming Syllabus

Topics Covered:

• Introduction to Python
• Basic syntax
• Variables and data types
• Operators
• Input and output
• Data structures: list, tuple, set, dictionary
• Syntax transition from C to Python

Topics Covered:

• Conditional statements: if, else, elif
• Loops: for, while
• Functions: defining functions
• Function parameters and return values
• Scope and lifetime of variables

Topics Covered:

• File handling: reading files
• File handling: writing files
• Exception handling
• Creating Python modules, packages, executable files
• Syntax errors and runtime errors
• Scientific debugging techniques

Topics Covered :

• OOP concepts: classes and objects
• Encapsulation
• Inheritance
• Polymorphism
• Class attributes and methods
• Constructors and destructors
• Types of inheritance: single, multiple, multilevel

Topics Covered:

• Regular expressions
• Pattern matching
• Regex functions
• GUI development using Python GUI frameworks

Topics Covered:

• Introduction to popular libraries
• NumPy – numerical computing
• Pandas – data manipulation
• Matplotlib – data visualization

Upon completion of this course, students will be able to:

• Understand the fundamentals of Python programming language
• Implement control flow statements and loops for problem-solving
• Create and use functions and modules for code reusability
• Work with various data structures (lists, tuples, dictionaries, sets)
• Apply object-oriented programming concepts in Python
• Handle exceptions and work with files
• Develop real-world applications using Python

• Python Programming: An Introduction to Computer Science by John Zelle
• Learning Python by Mark Lutz (O'Reilly)
• Python Crash Course by Eric Matthes
• Automate the Boring Stuff with Python by Al Sweigart
• Python for Data Analysis by Wes McKinney