Mastering Full Stack Python Development

WEEK 1: Python Programming Essentials

Day 1–2: Environment Setup & Core Syntax

  • Tools: Anaconda, Jupyter, VS Code, pip, venv, Markdown
  • Python syntax, variables, data types, input/output, control flow

Day 3–4: Functions & Data Structures

  • Functions, lambda, map/filter/reduce
  • Lists, tuples, sets, dictionaries
  • List comprehension, shallow vs deep copy

Day 5–6: File Handling, Error Handling, Testing

  • File operations (CSV, Excel, JSON)
  • try/except/finally, logging
  • Intro to unittest or pytest

📌 Mini Project – Python Basics

WEEK 2: Advanced Python & Data Libraries

Day 7: Object-Oriented Programming in Python

  • Classes, inheritance, magic methods, abstract classes

Day 8–9: Python Utilities & Web Scraping

  • Libraries: datetime, os, sys, collections, functools, requests, beautifulsoup4

Day 10–11: NumPy & Pandas

  • NumPy arrays, slicing, aggregation
  • Pandas Series/DataFrames, filtering, groupby, joins

Day 12: Data Visualization

  • Using Matplotlib and Seaborn for line plots, histograms, heatmaps, pairplots

📌 Mini Project – Data Analysis & Visualization

WEEK 3: Frontend Essentials & Databases

Day 13–14: HTML, CSS, and Bootstrap

  • HTML forms and tables
  • CSS selectors, Flexbox, responsive design with Bootstrap

Day 15: JavaScript Basics

  • DOM manipulation, events, Fetch API

Day 16–17: Databases with Python

  • SQLite, MySQL (using connector), MongoDB (intro)
  • ORM basics using SQLAlchemy / Django ORM

📌 Mini Project – CRUD App with UI & Database

WEEK 4: Backend Development – Flask, Django & Streamlit

Day 18–19: Flask Framework

  • Routing, templates (Jinja), forms, JSON APIs, Blueprints

Day 20–21: Django Framework

  • MVT structure, admin panel, models, views, authentication

Day 22: REST APIs with FastAPI (Intro)

  • HTTP methods, status codes, token-based authentication

Day 23: Streamlit Dashboards

  • Interactive layouts, widgets, visualizing data with Pandas + Matplotlib

📌 Mini Project – API or Dashboard App

WEEK 5: DevOps Tools – Git, Docker & Kubernetes

Day 24: Git & GitHub

  • Version control, branching, pull requests, team collaboration

Day 25–26: Docker

  • Creating Dockerfiles, building Python app containers, Docker Compose

Day 27: Kubernetes (Intro)

  • Pods, deployments, services – simplified demo using Minikube or Docker Desktop

Day 28: CI/CD Pipelines (Overview)

  • GitHub Actions / Jenkins CI/CD pipeline basics for Python projects

📌 Mini Project – Dockerized App with GitHub CI/CD

WEEK 6: Cloud Deployment & Capstone Kickoff

Day 29–30: AWS Essentials

  • Launching EC2 instances, security groups, key pair setup
  • Deploying Flask/Django projects to the cloud

Day 31–32: Capstone Project Planning

  • Define your end-to-end project idea
  • Design UI mockups using HTML + Bootstrap + JS

WEEK 7: Capstone Project – Build & Deploy

Day 33–39: Project Execution

  • Backend: Flask or Django
  • API integration and database connectivity
  • Frontend development and feature integration

Day 40–42: Deployment

  • Dockerize full project
  • Deploy to AWS EC2 with static IP
  • GitHub repository for versioning

Day 43–45: Final Review & Presentation

  • Code walkthrough and demo
  • Create live deployment link
  • Resume tips + GitHub optimization

Bonuses Included

  • GitHub Portfolio Setup
  • Resume & LinkedIn Optimization Tips
  • PDF Cheat Sheets
  • Interview Questions