Python Advanced course

Goal: Train students for Advance Python modules in a fun and hands-on way (Industry oriented) — 

(basic python concepts should be cleared before joining)

Duration: 4 Weeks (1.5 hours/day)

Schedule:

• Week 1–3: Teaching & Hands-On
• Week 4: Mini Projects + GitHub Deployment

Fees: 14999/- 

Curriculum: 

WEEK 1 – Core Python Fundamentals + Data Structures (overview)

📌 Python Basics 

• Python Installation, IDEs (Anaconda, PyCharm, VSCode)
• Introduction to Python, REPL, Scripts
• Data Types & Type Conversion
• Variables & Constants
• Operators: Arithmetic, Logical, Bitwise, Identity, Membership

📌 Flow Control & Core Syntax

• Conditional Statements: if, if-else, elif, nested if
• Looping: for, while, nested loops
• Loop control: break, continue, pass
• Input/Output Functions
• Modules and Packages (Import, sys.path, __name__)

📌 String and List Operations

• String indexing, slicing, built-in functions
• List operations: indexing, slicing, methods
• Tuples: immutability, operations
• Dictionary: creation, access, update, methods
• Set and Frozenset

✅ WEEK 2 – Functions, File Handling, OOP, Exception Handling

📌 Functions & Functional Programming

• Defining Functions, *args, **kwargs
• Return Statements, Lambda Functions
• map(), filter(), reduce()
• Decorators, Closures

📌 File Handling

• Open, Read, Write, Append
• with statement, file methods
• CSV and JSON file operations(data fetching,structuring, conversion of database etc)

📌 Object Oriented Programming (OOP)

• Class & Object
• Constructors, Instance/Class/Static methods
• Encapsulation, Data Hiding
• Inheritance (Single, Multi-level, Multiple)
• Polymorphism: Overloading, Overriding
• Property Decorators

📌 Exception Handling

• Try, Except, Else, Finally
• Custom Exceptions
• Raising Exceptions

✅ WEEK 3 – Python Ecosystem, Visualization, Web, and GUI Frameworks

📌 Python Libraries for Data and Visualization

• NumPy: Arrays, indexing, reshaping
• Pandas: Series, DataFrames, reading/writing CSVs, data cleaning
• Matplotlib & Seaborn: Line, Bar, Histogram, Heatmap, PairPlot

📌 Web Development (Basics)

• Flask: Routing, templates, POST/GET, rendering HTML
• FastAPI (Intro): API creation, JSON responses
• Django (Intro): Project setup, app creation, routing

📌 GUI Framework

• PyQt6: Signals/Slots, Widgets, Layouts
• Dialog boxes, Buttons, Label, Textbox
• Integration with Python functions

📌 Networking & HTTP Libraries

• requests module
• urllib and APIs

✅ WEEK 4 – Mini Projects + Git/GitHub Integration

📌 Mini Project Ideas (Select 1–2 based on learner profile)

• Project 1: Flask-based Book Review System with Pandas visualizations
• Project 2: PyQt6 GUI for Image Viewer with File I/O
• Project 3: FastAPI-based RESTful API for Employee Records
• Project 4: Django Blog App with Admin Panel and SQLite
• Project 5: CSV Data Dashboard using Pandas + Matplotlib

📌 Version Control

• Git basics: init, add, commit, push, pull
• Branching and merging
• GitHub project repository setup and hosting

🎯 Learning Outcomes

• End-to-end development proficiency in Python
• Strong grip on data structures, OOP, functional programming
• Mastery over real-world libraries: Pandas, NumPy, Seaborn
• Hands-on experience with Flask, FastAPI, Django, PyQt6
• GitHub-hosted mini projects ready for portfolios