Python Programming: Data Structures and Functions

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Related lectures (26)

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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.