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Python Programming Masterclass

Er Yogendra Singh Rajput December 13, 2025
Online Training - Python Programming Masterclass
Online Live Batch 2025

Master The
PYTHON POWER

Learn the world's most versatile language. From Automation scripts to Data Analysis and Web Development using Django/Flask.

Auto

Automation

Data

Analysis

Web

Backend

script.py
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TERMINAL Python 3.11
user@codesummer:~/python$
[ LIVE CURRICULUM ]

Detailed Topic Breakdown

Interactive live coding sessions. From syntax basics to building real-world automation bots and web apps.

Module 1

Core Python

Syntax, Data Types, Control Flow, and Functions.

Week 1 (Day 1-7)

Part A: Syntax & Basics

  • Python Installation & Setup (IDLE/VS Code)
  • Variables & Dynamic Typing
  • Data Types (Int, Float, String, Boolean)
  • Type Casting & Input/Output
  • Operators (Arithmetic, Logical, Comparison)
  • String Manipulation & Slicing
  • F-Strings & Formatting
  • Conditional Statements (if-elif-else)
  • Comments & Docstrings
  • Python Indentation Rules

Part B: Logic & Loops

  • Loops (For, While)
  • Loop Control (Break, Continue, Pass)
  • Nested Loops & Patterns
  • Functions (Def, Return, Args)
  • Lambda Functions
  • Scope (Global vs Local)
  • Recursion Basics
  • Modules & Import System
  • Standard Library Tour (Math, Random)
  • Mini Project: Calculator
Module 2

Advanced Python

Lists, Dictionaries, File Handling, and Object-Oriented Programming.

Week 2 (Day 8-14)

Part A: Data Structures

  • Lists & List Comprehensions
  • Tuples & Immutability
  • Sets & Set Operations
  • Dictionaries & Methods
  • Nested Data Structures
  • Exception Handling (Try, Except)
  • File I/O (Read/Write Text & CSV)
  • Context Managers (with statement)
  • Iterators & Generators
  • Decorators Basics

Part B: OOPs Concepts

  • Classes & Objects
  • Constructors (__init__)
  • Instance vs Class Variables
  • Inheritance (Single, Multiple)
  • Polymorphism (Method Overriding)
  • Encapsulation (Private/Public)
  • Abstraction
  • Magic Methods (__str__, __len__)
  • Project: Bank Account System
  • Project: Library Management
Module 3

Automation

Automating tasks, Web Scraping, and working with APIs.

Week 3 (Day 15-21)

Part A: Web Scraping

  • Introduction to Scraping
  • Requests Library
  • BeautifulSoup Basics
  • Extracting Data from HTML
  • Handling Pagination
  • Saving Data to CSV/Excel
  • Selenium for Dynamic Sites
  • Automating Browser Actions
  • Scraping E-commerce Prices
  • Ethical Scraping Guidelines

Part B: APIs & Automation

  • Introduction to REST APIs
  • Consuming APIs (Weather, Crypto)
  • JSON Parsing in Python
  • Sending Emails with SMTP
  • Automating Excel (OpenPyXL)
  • PDF Manipulation (PyPDF2)
  • Task Scheduling
  • GUI Basics (Tkinter Intro)
  • Project: Price Tracker Bot
  • Project: Auto Email Sender
Module 4

Data & Web

Introduction to Data Science libraries and Web Frameworks (Flask).

Week 4 (Day 22-28)

Part A: Data Science Intro

  • NumPy Arrays & Operations
  • Pandas DataFrames
  • Reading/Cleaning Data
  • Data Visualization (Matplotlib)
  • Creating Bar/Pie Charts
  • Analyzing Sales Data
  • Virtual Environments (venv)
  • Pip & Requirement Files
  • Jupyter Notebook Basics
  • Project: Data Analysis Report

Part B: Web Dev & Capstone

  • Introduction to Flask Framework
  • Routing & Templates (Jinja2)
  • Handling Forms in Flask
  • Building a Simple Website
  • Deploying Python App (Render)
  • Git & GitHub for Python
  • Code Review & Best Practices
  • Capstone Project: Portfolio Site
  • Final Viva
  • Certification

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