Python syllabus covering the fundamental concepts and topics typically included in a beginner or introductory Python course:

Introduction to Python:

• History and Features of Python
• Setting up Python development environment (interpreter, IDE, text editor)

Variables and Data Types:

• Variables and naming conventions
• Data types (integers, floats, strings, booleans)
• Type conversion and type checking

Operators and Expressions:

• Arithmetic operators
• Comparison and logical operators
• String concatenation and repetition

Control Flow:

• Conditional statements (if, if-else, elif)
• Looping statements (for, while)
• Control flow branching (break, continue)

Lists and Tuples:

• Creating and accessing lists and tuples
• List and tuple methods (e.g., append, remove, count)
• Slicing and indexing

Strings and String Manipulation:

• String operations and methods
• String formatting
• Regular expressions (basic understanding)

Dictionaries and Sets:

• Creating and accessing dictionaries and sets
• Dictionary and set methods (e.g., keys, values, add)
• Dictionary comprehension

Functions:

• Defining and calling functions
• Function arguments (positional, keyword, default)
• Return statements and scope of variables

File Handling:

• Reading from and writing to files
• File modes (read, write, append)
• Exception handling in file operations

Modules and Packages:

• Creating and using modules
• Importing modules and using their functions
• Introduction to the Python Standard Library

Exception Handling:

• Handling and raising exceptions
• Try-except blocks and error handling
• Exception hierarchy and custom exceptions

Object-Oriented Programming (OOP):

• Introduction to OOP concepts (classes, objects, methods)
• Creating and using classes and objects
• Inheritance, encapsulation, and polymorphism

Working with Files and Directories:

• File and directory manipulation (os module)
• Walking through directories (os.path module)
• File operations (copying, deleting, renaming)

Introduction to Libraries and Modules:

• Exploring popular Python libraries (e.g., NumPy, Pandas, Matplotlib)
• Installing and using third-party modules using pip