What Will You Learn?

• MODULE 1: PYTHON FUNDAMENTALS
• Introduction to Python
• Why Python?
• Setting up Python & IDE (VS Code, PyCharm, Jupyter)
• Writing and running Python scripts
• Python Basics
• Variables, Data Types (int, float, string, bool)
• Operators (Arithmetic, Logical, Comparison, Bitwise)
• Type Casting and User Input
• Control Flow
• Conditional Statements (if-elif-else)
• Loops (for, while, break, continue)
• Iterators and Generators
• Functions & Modules
• Defining and Calling Functions
• Function Arguments and Return Values
• Importing and Creating Modules
• MODULE 2: ADVANCED PYTHON CONCEPTS
• Data Structures
• Lists, Tuples, Sets, Dictionaries
• List Comprehensions & Dictionary Comprehensions
• Lambda Functions
• Object-Oriented Programming (OOP)
• Classes and Objects
• Inheritance, Polymorphism, and Encapsulation
• Operator Overloading
• File & Exception Handling
• Reading/Writing Files (open(), with statement)
• Try-Except Blocks for Error Handling
• Working with APIs and Web Requests
• requests Library for API Calls
• Handling JSON & XML Data
• MODULE 3: MICROSERVICES & REST APIs
• Introduction to Microservices
• Monolithic vs Microservices Architecture
• Advantages & Challenges
• Building REST APIs with Python
• Flask vs FastAPI vs Django REST Framework
• HTTP Methods (GET, POST, PUT, DELETE)
• CRUD Operations & Database Integration (SQL & NoSQL)
• Advanced Microservices Implementation
• Inter-Service Communication (REST vs gRPC, Message Queues)
• Containerization & Deployment (Docker, Kubernetes, CI/CD Pipelines)
• Security & Monitoring (JWT Authentication, API Rate Limiting, Logging & Monitoring with Prometheus & Grafana)
• MODULE 4: DATA ANALYSIS & VISUALIZATION
• Working with Data
• Introduction to NumPy & Pandas
• Data Cleaning & Preprocessing
• Data Visualization
• Plotting with Matplotlib, Seaborn, and Plotly
• Interactive Visualizations with Plotly
• Web Scraping
• Using BeautifulSoup, Scrapy, and requests for Data Extraction
• Database Access and Integration
• Introduction to Databases (SQLite, MySQL, PostgreSQL)
• Connecting to Databases using Python (SQLAlchemy, SQLite3)
• MODULE 5: HANDS-ON PROJECTS
• Real-World Applications
• Web Scraping Project: Collecting data from websites
• Automated Email System: Sending emails with Python
• Building a Virtual Assistant: A Python-based voice assistant
• Data Analysis Project: Analyzing a dataset and visualizing results
• Microservices Project: Building & deploying a REST API
• Database Integration Project: Storing and retrieving data in databases
• API Integration Project: Fetching data using APIs and displaying it in an application