Python Programming IN PYTHON PROGRAMMING COURSE ( S-PY-105 )

Python Programming Syllabus

Module 1: Introduction to Python

• Overview of Python: Introduction to Python, history, and uses.
• Installing Python: Installation of Python and IDE (PyCharm, VS Code).
• Running Python Code: Using the Python shell and writing scripts.
• Basic Syntax: Understanding indentation, comments, and code structure.

Module 2: Variables and Data Types

• Variables: Defining and assigning values to variables.
• Data Types: Numbers, strings, lists, tuples, sets, and dictionaries.
• Type Conversion: Casting data types (e.g., int to float).

Module 3: Control Flow

• Conditional Statements: if, else, and elif.
• Loops: for and while loops, and loop control statements (break, continue, pass).

Module 4: Functions and Modules

• Defining Functions: Function syntax, arguments, and return values.
• Scope and Lifetime: Local and global variables.
• Modules: Importing and using standard Python libraries (e.g., math, random).

Module 5: Data Structures

• Lists: Indexing, slicing, and common list methods.
• Tuples: Defining tuples, immutability, and usage.
• Dictionaries: Creating dictionaries, accessing values, and common methods.
• Sets: Defining sets, and performing set operations.

Module 6: Object-Oriented Programming (OOP)

• Classes and Objects: Creating classes, initializing objects, and using methods.
• Inheritance: How inheritance works in Python and overriding methods.
• Polymorphism and Encapsulation: Methods of achieving flexibility and data hiding in Python.

Module 7: File Handling

• Reading and Writing Files: Opening, reading, and writing to text files.
• Working with CSV Files: Using csv module to handle CSV files.
• File Operations: File operations (create, delete, and rename).

Module 8: Exception Handling

• Try and Except: Handling errors and exceptions.
• Finally: Ensuring code runs regardless of errors.
• Raising Exceptions: Manually raising exceptions for custom error handling.

Module 9: Libraries and Frameworks

• Using External Libraries: Installing libraries with pip, using libraries like numpy, pandas, and matplotlib.
• Introduction to Frameworks: Brief overview of Django and Flask (for web development).

Module 10: Basic Project

• Project Idea: Build a simple Python project (e.g., a text-based calculator or a to-do list).
• Best Practices: Code structure, comments, and readability.

To start learning Python programming, here are some basic requirements:

1. Basic Computer Knowledge: Understanding how to navigate your operating system, using a text editor, and installing software packages is essential.
2. Access to Python: Install Python (from python.org) and an Integrated Development Environment (IDE) like PyCharm or Visual Studio Code to write and run your code.
3. Problem-Solving Mindset: An analytical approach to breaking down problems into smaller steps that can be translated into code.