Python Coding

Module 1: Introduction to Python

1. Getting Started

• What is Python?
• Installing Python and setting up the environment
• Writing your first Python program
• Understanding the Python interactive shell

1. Basic Syntax

• Python syntax and indentation
• Variables and data types
• Basic input and output

Module 2: Data Types and Operations

1. Numbers

• Integer and floating-point arithmetic
• Complex numbers
• Mathematical functions and operations

1. Strings

• Creating and manipulating strings
• String methods
• String formatting

1. Lists

• Creating and accessing list elements
• List methods and operations
• List comprehensions

1. Tuples

• Creating and accessing tuples
• Tuple operations

1. Dictionaries

• Creating and accessing dictionaries
• Dictionary methods
• Nested dictionaries

1. Sets

• Creating and using sets
• Set operations

Module 3: Control Structures

1. Conditional Statements

• if, elif, and else statements
• Nested conditionals

1. Loops

• for loops
• while loops
• break and continue statements
• Nested loops

Module 4: Functions and Modules

1. Functions

• Defining and calling functions
• Function arguments and return values
• Lambda functions
• Scope and lifetime of variables

1. Modules

• Importing modules
• Standard library overview
• Creating and using custom modules

Module 5: File Handling

1. Reading and Writing Files

• Opening, reading, and writing text files
• Working with file paths
• Handling file exceptions

1. Working with CSV and JSON Files

• Reading and writing CSV files
• Parsing and writing JSON data

Module 6: Error Handling and Debugging

1. Error Handling

• Try, except, else, and finally
• Handling specific exceptions
• Raising exceptions

1. Debugging Techniques

• Using print statements
• Using debugging tools (e.g., pdb)

Module 7: Object-Oriented Programming (OOP)

1. Classes and Objects

• Defining classes and creating objects
• Instance variables and methods
• Class variables and methods

1. Inheritance

• Inheriting from a base class
• Method overriding
• Using super()

1. Polymorphism and Encapsulation

• Understanding polymorphism
• Encapsulation and private attributes

Module 8: Advanced Topics

1. Iterators and Generators

• Creating and using iterators
• Generator functions and expressions

1. Decorators

• Understanding decorators
• Writing and applying decorators

1. Context Managers

• Using with statements
• Creating custom context managers

1. Regular Expressions

• Using the re module
• Common regex patterns

Module 9: Working with Libraries and Frameworks

1. NumPy and Pandas

• Introduction to NumPy
• Working with arrays
• Introduction to Pandas
• DataFrames and series

1. Web Development with Flask/Django

• Setting up a Flask/Django project
• Basic routing and views
• Templates and static files

1. Data Visualization with Matplotlib/Seaborn

• Creating basic plots
• Customizing plots

Module 10: Project-Based Learning

1. Building a Small Project

• Define project requirements
• Plan and design the project
• Implement the project
• Test and debug the project

1. Capstone Project

• Larger, more complex project
• Incorporating multiple modules and techniques learned

Additional Resources

• Practice Problems
• Regular exercises and challenges
• Reference Materials
• Documentation and cheat sheets
• Community and Support
• Forums and discussion groups

This course structure ensures a gradual and comprehensive learning experience, starting from the basics and moving towards more advanced topics, with plenty of hands-on practice and project-based learning.