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Mumbai
Pune
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Python Programming – Beginner to Advanced

Master Python from Scratch for Real-World Projects

Learn Python programming step-by-step with hands-on labs, automation projects, and a capstone. Ideal for beginners, testers, and career switchers.

👥 Who Can Join?

  • ✔️ Freshers entering software/IT industry
  • ✔️ Students from any background
  • ✔️ Manual testers moving to automation
  • ✔️ Non-programmers exploring development
  • ✔️ Anyone interested in Python for automation or scripting
📞 Get in Touch

📱 Call/WhatsApp: 09579338436 / 07892787036

📧 Email: contact@triumphslab.com

🌐 Website: www.triumphslab.com

📚 Python Course Content

  • ✔️ What is Python & what can it do?
  • ✔️ Why Python is popular
  • ✔️ Python vs other programming languages
  • ✔️ Installing Python & setup
  • ✔️ Writing your first Python script

  • ✔️ The print() statement
  • ✔️ Adding comments
  • ✔️ Data types & structures (int, float, list, dict, etc.)
  • ✔️ String operations
  • ✔️ User input and output
  • ✔️ Basic output formatting
  • ✔️ Python operators

  • ✔️ Indentation & syntax
  • ✔️ if, elif, else statements
  • ✔️ while loop
  • ✔️ for loop & range()
  • ✔️ break, continue, and pass
  • ✔️ assert statements
  • ✔️ Looping examples and exercises

  • ✔️ Defining functions
  • ✔️ Function parameters & return values
  • ✔️ Variable arguments (*args, **kwargs)
  • ✔️ Scope & lifetime of variables
  • ✔️ Lambda functions
  • ✔️ map(), filter(), and built-in functional tools
  • ✔️ Creating and importing modules
  • ✔️ Python standard modules

  • ✔️ Common error types
  • ✔️ try, except, finally blocks
  • ✔️ Handling multiple exceptions
  • ✔️ Creating custom exceptions

  • ✔️ Reading from and writing to files
  • ✔️ File modes (r, w, a)
  • ✔️ Working with file exceptions
  • ✔️ Using with statement for file operations

  • ✔️ Understanding classes & objects
  • ✔️ Constructors and instance variables
  • ✔️ Instance methods
  • ✔️ Inheritance & method overriding
  • ✔️ Polymorphism
  • ✔️ Custom exception classes

  • ✔️ Understanding iterators in Python
  • ✔️ Creating generators using yield
  • ✔️ Using any() and all()
  • ✔️ Data compression using generators
  • ✔️ With statements in advanced workflows

✨ Course Highlights

Duration

40+ Hours – Weekday & Weekend Batches Available

Mode

Online Only (Live Instructor-Led Training)

Hands-On

Real-Time Coding Labs + Assignments + Capstone Project

Interested In Course?

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