Python Programming Course

Python Programming Course

This course introduces learners to Python, one of the most versatile and widely used programming languages today. Designed for beginners as well as professionals aiming to build a solid foundation, it provides comprehensive coverage of Python’s syntax, logic building, and practical use cases across industries.

Students will explore Python fundamentals, from control structures and data types to object-oriented programming. Additionally, the course includes real-world applications like data manipulation, automation scripts, and basic API interaction.

By completing multiple hands-on exercises and projects, learners will acquire the skills necessary to write efficient, readable, and reusable Python code for various professional needs including data processing, automation, and simple application development.

Trainer

To be Announced

Course Fee

Price Coming Soon

Available Seats

22

Schedule

6:30 PM – 9:00 PM

Overview

Start your journey in one of the world’s most in-demand programming languages.

Whether you're automating tasks, analyzing data, or building web apps, Python provides the tools and flexibility to solve real-world problems with ease.

Python Overview

Key Topics

  • Introduction to Python & IDEs
  • Data Types, Variables & Operators
  • Conditional Statements & Loops
  • Functions & Modular Programming
  • Collections: Lists, Tuples, Sets, Dictionaries
  • File Handling & Exception Handling
  • OOP: Classes, Objects, Inheritance
  • NumPy, Pandas, Matplotlib Basics
  • Web Scraping with Requests & BeautifulSoup
  • Working with APIs & Basic Automation Scripts
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Python Topics

Instructor

To be Announced — Python Developer & Data Engineer

With 9+ years of experience in Python development and data processing, Rahul has led multiple enterprise-level projects involving automation and analytics.

Python Instructor

Learning Outcomes

  • Write clean, efficient Python code
  • Build reusable functions and OOP-based logic
  • Perform data analysis using Pandas & NumPy
  • Scrape and process data from the web
  • Build scripts to automate routine tasks
Python Outcomes

FAQ

Find answers to common questions

✔ Prerequisites: None – beginner friendly
✔ Duration: 6–8 weeks
✔ Format: Online / In-person
✔ Tools Used: Python 3.x, Jupyter, VS Code, Git

Python FAQ