Python Live Demo Class | Nested Collections, List Manipulation & Typecasting
Welcome to this Python Live Demo Class by AI-ML with Sugam.
In this live session, we continued our Python learning journey by revising important Python basics like slicing, mutable and immutable data types, nested collections, lists, tuples, sets, dictionaries, swapping logic, list manipulation, and typecasting.
This demo class is designed for students, beginners, working professionals, career switchers, and non-IT background learners who want to build a strong foundation in Python programming, logic building, problem solving, and real-world coding from absolute basics.
In this class, we discussed how Python stores data in memory, how nested lists and tuples work, why immutable tuples can still contain mutable objects, how to access nested elements using indexing and slicing, how to swap values in lists, and how to convert one data type into another using typecasting.
Topics Covered in This Class:
Recap & Nested Collections
• Welcome and recap of previous topics like slicing and Python basics
• Mutable vs Immutable data types
• Strings, Tuples, Lists, Sets, and Dictionaries
• Criteria for storing elements inside a Set
• Why Sets only allow immutable data types
• Storing mutable data types inside a Tuple
• Memory allocation logic in nested collections
• Adding a new value inside a nested list within a tuple
• Primary vs Secondary memory allocation layers
• Why some changes are possible inside immutable tuples
• Accessing nested tuples and lists using indexing
• Slicing inside a nested string within a tuple
Practical Swapping & List Manipulation
• Logic for swapping two values in a list
• Manual swapping vs simultaneous variable assignment
• Replacing values at specific indices
• Swapping values inside complex lists
• Reversing a specific string element inside a list
• Reversing a specific slice of a list
• Replacing sliced list chunks
• Removing elements permanently using pop() and remove()
Core Topic: Typecasting
• What is Typecasting in Python?
• Converting one data type into another
• Real-world use case of converting string input into integer
• Source variables and destination data types
• Integer conversion to Float, Complex, Boolean, and String
• Which conversions from Integer are possible and impossible
• Float conversion and data loss during Float-to-Int conversion
• Complex number conversion limitations
• Why Complex numbers cannot be directly converted to Int or Float
• Boolean conversion and how True/False map to 1/0 and 1.0/0.0
• Preview of collection data type casting
This class will help you clearly understand how Python handles data storage, memory allocation, nested collections, slicing, list manipulation, swapping, and type conversion. If you are new to programming, these concepts are very important for improving your logic building, problem solving, coding confidence, and Python fundamentals.
This is part of our complete Python live class series, where we are learning Python step by step from basics to advanced with practical examples, real-world use cases, and beginner-friendly explanations.
What You Will Learn in Our Python Batch:
• Python Fundamentals
• Problem Solving & Logic Building
• Data Types & Operators
• Conditional Statements & Loops
• Functions & OOP
• File Handling
• Real-World Python Projects
• Streamlit Dashboards
• Interview Preparation
Who Can Join?
• Students
• Beginners
• Working Professionals
• Career Switchers
• Non-IT Background Learners
If you want to learn Python in a structured way with live classes, mentorship, projects, practical coding, and career-focused guidance, you can join our live Python batch.
Join Our Live Python Batch Here:
https://forms.gle/Y4Em7YDZRHcTqR8cA
For batch details, fees, and enrollment, fill out the form and our team will contact you.
AI-ML with Sugam
Learn. Build. Grow.
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