Lectures related to Python Programming: Data Structures and Functions

Python Programming: Immutable and Mutable Objects

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

Python Programming: Dictionaries and Classes

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

Python Programming: List Comprehensions and Higher Order Functions

Explores advanced Python programming concepts, focusing on list comprehensions and higher order functions.

Python Programming: Lists and Functions Overview

Introduces Python programming concepts, focusing on lists, functions, and their applications in problem-solving.

Data Structures and Functions

Covers the basics of tuples, lists, sets, linear types, conversions, dictionaries, and defaultdicts.

Python Programming: Control Structures and Functions

Covers advanced topics in Python programming, focusing on control structures and functions.

Conditions and Loops: Basics of Programming

Covers the basics of programming, including types, variables, methods, functions, conditions, loops, and boolean logic.

Data Structures: Tuples, Lists, Sets, Dicts

Introduces data structures like tuples, lists, sets, and dicts in Python, covering their definition, manipulation, and iteration.

Functions: Definitions and Notations

Covers the generalities of functions, including the definition of an application between sets and the uniqueness of elements in the image set.

File Management and Exception Handling in Python

Focuses on file management and exception handling in Python programming.

Data Structures: Tuples, Sets, Dictionaries

Explores tuples, sets, and dictionaries in Python, covering immutability, uniqueness, and key-value pairs.

Python Functions: Basics and Arguments

Covers the basics of writing functions in Python and working with function arguments.

Introduction to Programming with Python

Introduces Python programming basics, covering data types, operators, variables, functions, and code tracing.

Sets and Proofs

Introduces sets in discrete mathematics and explores proof techniques like direct and indirect proofs.

Collections: Lists vs Sets

Explores the differences between lists and sets, emphasizing the challenges of defining equality.

Functions and Lists: Complements and Manipulation

Explores functions' complements, parameter order, and list manipulation, including counting occurrences and solving the '100 prisoners problem'.

NumPy Arrays and Graphical Representations: Introduction

Covers NumPy arrays and their graphical representations using Matplotlib, focusing on array creation, manipulation, and visualization techniques.

Data Structures: Tuples, Lists, Sets, Dicts

Introduces Python data structures like tuples, lists, sets, and dictionaries, emphasizing manipulation and conversion techniques.

Python for Engineers: Basics and Functions

Covers Python basics, functions, and practical applications for engineers, emphasizing data manipulation, functional programming, and data structures.

Image Processing Techniques: Seam Carving and Pixel Manipulation

Discusses image processing techniques, focusing on seam carving and pixel manipulation in Python programming.