Core Python Syllabus:

• Introduction to Python:History and features of Python.
• Setting up the Python environment (installation, IDEs like PyCharm, VS Code).
• Basic syntax, comments, and variables.
• Data Types and Operators:Numbers (integers, floats), strings, booleans.
• Arithmetic, comparison, assignment, logical, bitwise, membership, and identity operators.
• Operator precedence.
• Control Flow:Conditional statements (if, if-else, if-elif-else, nested if). 
• Looping constructs (for loop, while loop).
• Loop control statements (break, continue).
• Data Structures:Lists (creation, methods, list comprehensions).
• Tuples (creation, immutability).
• Dictionaries (creation, methods, key-value pairs).
• Sets (creation, set operations).
• Functions and Modules:Defining and calling functions.
• Function parameters (default, variable arguments).
• Scope of variables (local vs. global).
• Lambda functions.
• Creating and using modules and packages.
• Exploring standard library modules.
• Object-Oriented Programming (OOP):Classes and objects.
• Attributes and methods.
• Constructors (__init__).
• Inheritance (single, multiple, multilevel).
• Polymorphism and operator overloading.
• File Handling and Exception Handling:Reading from and writing to text and binary files.
• Using open(), close(), read(), write() functions.
• Error handling with try-except-finally blocks.
• Advanced Topics (depending on course focus):Regular Expressions: Pattern matching and text manipulation.
• Database Connectivity: Interacting with databases (e.g., SQLite, MySQL).
• Web Development: Introduction to frameworks like Flask or Django.
• Data Science Libraries: NumPy, Pandas, Matplotlib, Seaborn for data manipulation, analysis, and visualization.
• GUI Programming: Introduction to libraries like Tkinter or PyQt.
• Concurrency: Multithreading and multiprocessing.