Learn Python programming step-by-step from absolute basics to professional skills. Build real projects in automation, data handling, and web scraping with live coding sessions and mentor support.
Python is the perfect first programming language—easy to learn yet powerful enough for professional work. This complete course takes you from writing your first line of code to building real automation tools.
Learn programming fundamentals including variables, functions, loops, and conditionals. These foundations apply to any programming language you learn later.Understand data structures like lists, dictionaries, and sets—essential tools for organizing information in your programs. Practice with real examples until concepts click.
Discover how professional developers organize code using classes and objects. Build systems like bank accounts and simple games using OOP principles.Learn inheritance, encapsulation, and polymorphism through practical examples, not abstract theory. These concepts unlock advanced programming capabilities.
Get introduced to powerful libraries including NumPy and Pandas for data work. Learn to automate Excel tasks with openpyxl—a huge time-saver.Explore APIs and web scraping using requests and BeautifulSoup. Fetch live data from websites and build programs that interact with online services.Learn to automate boring, repetitive tasks—a superpower every professional needs. Send emails, organize files, and generate reports automatically.Get introduced to browser automation with Selenium. Make your computer do the repetitive work while you focus on important tasks.
Join weekly live coding workshops where you write code together with instructors. Ask questions and get immediate help when stuck.Debug broken code with mentor guidance, learning problem-solving approaches professionals use daily. Present your final project and receive constructive feedback.
String Manipulation
Format, slice, and transform text using Python's powerful string methods.
File Handling
Read from and write to files in various formats including CSV and JSON.
Hands-on Project
Parse a CSV file containing product data and display the information.
Understanding Exceptions
Handle errors gracefully using try-except blocks and manage different error types.
Debugging Techniques
Read error messages, use debugging strategies, and test your code systematically.
Hands-on Project
Debug a broken script with mentor guidance and practice fixing common errors.
Classes and Objects
Create blueprints for objects with attributes and methods using OOP principles.
Advanced OOP Concepts
Apply inheritance, encapsulation, and polymorphism to build scalable applications.
Hands-on Project
Design a bank account system using classes and OOP best practices.
Essential Modules
Use built-in modules like math, datetime, os, and random for common programming tasks.
Data Libraries Introduction
Manipulate numerical data with NumPy and work with datasets using Pandas.
Excel Automation
Read, write, and automate Excel spreadsheet tasks using the openpyxl library.
Hands-on Project
Filter and manipulate data using Pandas operations.
Working with APIs
Connect to web services, make requests, and handle JSON responses programmatically.
Web Scraping Basics
Extract data from websites ethically using BeautifulSoup and HTML parsing.
Hands-on Project
Fetch live weather data from an API and display formatted results.
Task Automation
Automate repetitive file operations and system tasks with Python scripts.
Email and Browser Automation
Send automated emails and control web browsers using Python libraries.
Hands-on Project
Create an automated email sending script using Python's email libraries.
Planning Your Project
Choose an automation application, plan features, and break your project into manageable tasks.
Building Your Application
Code your project step by step, test continuously, and refine your application.
Live Showcase
Present your completed project to classmates and mentor, explaining your code and design choices.
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PDF Reader (for notes and study materials).
Latest version of Google Chrome, Firefox, Safari or Microsoft Edge.
Stable Internet with at least 2 Mbps speed for smooth video streaming and interactive content.
Smartphone, Tablet, Laptop or Desktop Computer.
Talk to our expert mentors directly or book a personal 1-on-1 counseling session to clear all your doubts.
A comprehensive support ecosystem designed to guide you at every step of your educational and professional growth.
Step-by-step building of web apps, automation tools, and full-stack projects
Comprehensive learning resources and code templates included
Real-world projects like e-commerce sites, REST APIs, and data pipelines
Interactive sessions designed for aspiring developers
Dedicated mentors guiding students in every session
Regular progress tracking and personalized feedback
Easy-to-follow documentation and coding resources
Live code review and debugging sessions
Develop problem-solving and algorithmic thinking skills
Hands-on experience with frameworks, libraries, and databases
Practice with version control, testing, and deployment workflows
Collaborative coding projects to strengthen teamwork
Team projects and code challenges to encourage collaboration
Portfolio presentation sessions for showcasing applications
Access to community of Python developers and learners
Learn from peer code reviews and shared projects
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A structured journey designed to take you from beginner to industry-ready professional.
In your first session, you learn what Python is and why it is used. You explore how Python helps in web development, automation, and data science.
You learn Python syntax, variables, data types, loops, and decision-making. You also practice writing clean and simple code.
Next, you learn about functions, lists, dictionaries, and basic object-oriented programming. These help you write better and reusable programs.
You start making real applications like a task manager, simple web scraper, or automation tool using everything you learned.
You learn how to use Git for version control, deploy your project, and present your work in review sessions.
By the end, you understand core Python concepts, know how to work with databases, and can build full-stack applications and your own real projects.
Robotics Instructor
I am an educator at viLab with experience in teaching Robotics, AI and Coding. I specialize in simplifying complex technical concepts into engaging, hands-on lessons that make learning fun and practical for young learners. My classes emphasize creativity, critical thinking, and real-world problem solving, and I have successfully taught students across Lucknow using Arduino UNO and Pictograph.
Passionate about making technology education exciting and inclusive, I am committed to preparing students to become future-ready through interactive teaching methods and practical projects.
Educational Qualification – Pursuing B.Tech from Bansal Institute of Engineering and Technology, with a focus on coding skills.
Experience – Teaching experience in the field of Robotics and Coding, guiding students in building projects and developing problem-solving abilities.
Robotics and AI Instructor
I am an educator with experience teaching Coding, Robotics, AI, and Web Development. I specialize in simplifying complex concepts into engaging, hands-on lessons that make learning fun and practical for young learners. My classes emphasize creativity, critical thinking, and real-world problem solving, and I have taught students across Lucknow and online platforms using Arduino, Micro:bit, Scratch,Git.
Passionate about fostering curiosity and innovation, I am committed to inspiring the next generation of creators and problem-solvers through practical learning and interactive teaching methods.
Educational Qualification – Bachelor of Computer Applications (BCA) from Integral University (2022–2025) and pursuing Masters of Computer Applications (MCA) from Lovely Professional University, specializing in Data Science.
Experience – Teaching experience in the EdTech sector, along with industry exposure as a Web Development Intern at Softpro India (2024–2025), where I contributed to building dynamic, user-friendly platforms. Additionally, I have developed projects such as an Online Book Store with a Personalized Recommendation System, integrating Python, JavaScript, and databases. I also hold certifications in Generative AI (2024) and Cyber Security (2025) from Y-Hills.
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Everything you need to know about Complete Python Development
No prior experience needed. The course starts from absolute basics, explaining programming concepts in simple terms. You'll learn what code is and how computers work before writing your first program.
You'll need a computer (Windows, Mac, or Linux) with Python installed—we guide you through the free installation process. You'll also choose a free code editor like VS Code, PyCharm, or Jupyter during setup.
Each module takes 25-45 minutes of video instruction, plus additional time for hands-on projects and assignments. Plan for 3-5 hours per week including live sessions and practice to complete the course comfortably.
You'll be ready to build automation tools, work with data and Excel files, create web scrapers, and develop simple applications. These foundational skills prepare you for advanced topics like web development, data science, or AI in the future.
Join viLab — as a student, school partner, or educator.
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