🏫 Programming & Software Development

Python Programming From Basics to FastAPI

Complete Python Course - From Beginner to Building REST APIs with FastAPI

Duration

12 Weeks

Weekly Hours

4 Hours

Course Incharge

Muzammil Bilwani

Python Programming From Basics to FastAPI

📋 Prerequisites

✓ No prior programming experience required. Familiarity with basic computing recommended.

📖 Course Description

Learn to code with Python from scratch and build powerful, real-world applications using FastAPI. This course bridges beginner fundamentals and advanced backend development practices with industry-standard API development, database integration, and deployment strategies.

What You Will Learn

Write clean and efficient Python code following best practices

Master functions, loops, data structures, and Object-Oriented Programming

Work with files, exceptions, and external libraries

Build production-ready REST APIs using FastAPI

Implement authentication, validation, and database integration

Deploy APIs to cloud platforms

Use Git and GitHub for version control and collaboration

Course Outline

Introduction to Python and Programming

→What is Python? Use cases and ecosystem
→Why Python for backend development and APIs?
→Installing Python and setting up VS Code
→Python virtual environments and best practices
→Writing your first Python script
→Running scripts from terminal/command prompt
→Hands-on: Build a basic calculator using input/output

Data Types, Variables, and Operators

→Variables and basic data types (int, float, str, bool)
→Arithmetic, comparison, and logical operators
→Type conversion and type hints
→String formatting (f-strings, format method)
→Input validation basics
→Hands-on: Create a unit converter with input validation (e.g., temperature, currency)

Control Flow - Conditions and Loops

→If/else statements and nested conditions
→Ternary operators in Python
→for and while loops
→break, continue, and loop logic
→List comprehensions basics
→Hands-on: Build a number guessing game with input validation or menu-driven app

Functions and Modules

→Defining and calling functions
→Function arguments: positional, keyword, default, *args, **kwargs
→Return values and function documentation
→Python modules and importing
→Creating and using custom modules
→Hands-on: Create a utility module (e.g., tax calculator, grade calculator with multiple functions)

Data Structures - Lists, Tuples, Sets, Dictionaries

→Creating and manipulating collections
→List methods and operations
→Dictionaries: keys, values, and nested structures
→Sets for unique collections
→Use cases for each data type
→Comprehensions for lists and dictionaries
→Hands-on: Store and retrieve student records from a dictionary with CRUD operations

File Handling and Exceptions

→Reading from and writing to text files
→Working with CSV and JSON files
→Context managers (with statement)
→Try/except blocks and common exceptions
→Custom exception handling
→Logging basics for debugging
→Hands-on: Create a CLI task tracker that saves tasks to JSON file

Object-Oriented Programming (OOP)

→Classes and objects in Python
→Constructor method (__init__)
→Instance vs class attributes
→Methods and self parameter
→Inheritance and polymorphism
→Encapsulation and property decorators
→Hands-on: Build a class-based system (library management or bank account with OOP principles)

Using Python Libraries & External APIs

→Installing libraries using pip and requirements.txt
→Making HTTP requests using requests library
→Parsing JSON data and handling API responses
→Error handling for API calls
→Working with API authentication (API keys)
→Environment variables for sensitive data
→Hands-on: Build a weather app or currency converter using a public API with error handling

Git and GitHub - Version Control Essentials

→What is Git? What is GitHub?
→Initializing a repo, making commits
→Branching and merging basics
→Writing meaningful commit messages
→Pushing code to GitHub
→Creating .gitignore files
→README.md documentation best practices
→Hands-on: Upload a Python project to GitHub with proper README and documentation

Virtual Environments and Project Management

→Why use virtual environments?
→Creating and activating environments with venv
→Managing dependencies with requirements.txt
→Project structure best practices
→Introduction to environment variables
→Configuration management
→Hands-on: Set up an isolated Python project ready for FastAPI with proper structure

Introduction to FastAPI - Building REST APIs

→What is FastAPI and why use it?
→RESTful API principles (GET, POST, PUT, DELETE)
→Installing FastAPI and Uvicorn
→Creating your first API endpoint
→Path parameters and query parameters
→Request and response models with Pydantic
→Automatic API documentation (Swagger UI)
→Data validation and error handling
→Hands-on: Build a simple CRUD API for a to-do list with validation

Advanced FastAPI & Capstone Project

→Database integration with SQLAlchemy (SQLite or PostgreSQL)
→Defining database models and relationships
→Implementing authentication with JWT tokens
→Password hashing with bcrypt
→Environment variables and configuration
→API testing basics
→Deployment options: Heroku, Railway, or AWS
→Capstone Project: Build and deploy a complete API:
→ - User authentication system
→ - Database integration with CRUD operations
→ - Input validation and error handling
→ - API documentation
→ - Deployment to cloud platform
→Project presentation with GitHub repository
→Best practices for API development
→Next steps: Advanced topics (async programming, WebSockets, microservices)

📊 Grading Criteria

Component	Percentage
Quizzes	20%
Class Participation / Attendance	15%
Projects	25%
Final Projects	40%
Total	100%

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