Mutable and Immutable Objects

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Explains the merge sort algorithm, its correctness, and time complexity compared to other sorting algorithms.

Introduction to Data Science

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Sorting Algorithms: Selection and Insertion

Introduces selection and insertion sorting algorithms, explaining their correctness and time complexity.

Python Programming Basics

Introduces Python programming basics, covering loops, functions, lists, and conditions for code execution.

Advanced Pandas Functions

Focuses on advanced pandas functions for data manipulation, exploration, and visualization with Python, emphasizing the importance of understanding and preparing data.

Python Programming: Dictionaries and Classes

Introduces Python programming concepts, focusing on dictionaries and classes, including their definitions, usage, and practical examples.

Python Programming: Immutable and Mutable Objects

Explains the differences between mutable and immutable objects in Python, focusing on lists, sets, and their behaviors.

Decision Tree Classification

Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.

Structures and Mechanisms: Opening a Box

Explores the analysis of structures and mechanisms through a sample problem of opening a box with a string-held lid.

Common Sequences Operations

Covers common operations on sequences like lists and tuples, including slicing, extending, and replacing elements.