Python Programming Course

Beginner to Advanced | 45 Days Schedule

45-Day Schedule

1
Day 1-5: Introduction to Python

Get familiar with Python syntax, variables, functions, and control flow.

2
Day 6-10: Object-Oriented Programming

Learn classes, objects, inheritance, and other OOP concepts.

3
Day 11-15: File Handling

Master reading and writing files, and working with JSON, XML, and directories.

4
Day 16-25: Python for Automation

Automate tasks using Selenium, BeautifulSoup, and API integrations.

5
Day 26-35: Data Analysis Libraries

Learn to analyze data using libraries like Pandas, NumPy, and Matplotlib.

6
Day 36-40: Advanced Python Concepts

Explore advanced Python topics such as decorators, generators, and threading.

7
Day 41-45: Final Project

Build a Python web scraper and an automation script for weekly email reports.

Course Information

Prerequisites: Basic understanding of programming concepts.

Skills Covered: Python programming, OOP, automation, file handling, data analysis.

Course Outcomes: Build Python projects, automate tasks, scrape web data, and analyze data.

Modules

Introduction to Python

Learn Python basics, variables, loops, functions, and error handling.

  • What is Python?
  • Variables & Data Types
  • Control Flow: If, Else, While
  • Functions & Loops
  • Error Handling
Object-Oriented Programming

Master classes, objects, inheritance, polymorphism, and encapsulation.

  • Classes & Objects
  • Inheritance
  • Polymorphism
  • Encapsulation
File Handling

Work with files, JSON, XML, and directories efficiently.

  • Reading Files
  • Writing to Files
  • Working with JSON and XML
  • Directory Operations
Python for Automation

Automate tasks using Selenium, BeautifulSoup, and API integrations.

  • Web Scraping with BeautifulSoup
  • Automating Browsers with Selenium
  • API Integrations

Final Project

Project Description: The final project will involve building a Python web scraper and an automation script. The project aims to give you hands-on experience with web scraping, task automation, and handling real-world data. You will be expected to:

  • Write a Python script to scrape data from a website.
  • Implement automated tasks using APIs or libraries like Selenium.
  • Analyze and clean the collected data.

Expected Outcomes: By completing this project, you will gain proficiency in Python, data scraping, and automation, making you ready to tackle similar challenges in professional work environments.

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