Module 1: Introduction to Python

• Overview of Python programming language
• Setting up the development environment (Python interpreter, IDE)
• Running Python programs and using the interactive shell
• Understanding Python syntax and basic structure
• Working with variables, data types, and operators

Module 2: Control Flow Statements

• Conditional statements (if, else if, else)
• Looping statements (for, while)
• Break and continue statements
• Nesting control flow statements

Module 3: Data Structures

• Lists, tuples, and dictionaries
• Sets and frozensets
• Manipulating and accessing elements in data structures
• List comprehensions and dictionary comprehensions

Module 4: Functions and Modules

• Defining and calling functions
• Function parameters and return values
• Scopes and namespaces
• Working with modules and importing functionality
• Creating and using custom modules

Module 5: File Handling and I/O Operations

• Reading and writing data to files
• Opening, closing, and manipulating file objects
• Working with different file formats (text files, CSV, JSON)
• Exception handling in file operations

Module 6: Object-Oriented Programming (OOP) Principles

• Introduction to object-oriented programming concepts
• Classes, objects, and instances
• Encapsulation, inheritance, and polymorphism
• Method overloading and overriding
• Working with class attributes and methods

Module 7: Exception Handling

• Understanding exceptions and error handling
• Try-except blocks and handling specific exceptions
• Raising exceptions and creating custom exceptions
• Handling multiple exceptions and using the finally block

Module 8: Working with Modules and Packages

• Creating and using Python modules
• Organizing code into packages and subpackages
• Importing modules and packages
• Working with external libraries and packages (e.g., NumPy, Pandas)

Module 9: File and Directory Manipulation

• Navigating the file system using the os module
• Creating, deleting, and renaming files and directories
• Modifying file permissions and attributes
• Searching for files and directories

Module 10: Regular Expressions

• Introduction to regular expressions and their syntax
• Searching, matching, and manipulating text using regular expressions
• Working with special characters and character classes
• Using regular expressions for pattern matching and data validation

Module 11: Database Connectivity and SQL (optional)

• Introduction to database concepts
• Connecting to databases using Python
• Executing SQL queries and retrieving results
• Working with database transactions

Module 12: Web Scraping and Data Extraction (optional)

• Introduction to web scraping and data extraction
• Using libraries like Beautiful Soup and Scrapy
• Extracting data from HTML, XML, and JSON
• Web scraping ethics and best practices

Module 13: Introduction to Data Analysis and Visualization (optional)

• Working with data analysis libraries like NumPy and Pandas
• Data manipulation and transformation
• Data visualization using libraries like Matplotlib and Seaborn
• Exploratory data analysis and basic statistical operations

Module 14: Introduction to Django (optional)

• Building web applications using the Django framework
• Handling URL routing and views
• Working with models, templates, and forms
• Introduction to Authentication and user management in Django