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A Closer Look at Lists
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Related lectures (34)
Python Programming: Immutable and Mutable Objects
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Explains the differences between mutable and immutable objects in Python, focusing on lists, sets, and their behaviors.
Python for Engineers: Basics and Functions
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Covers Python basics, functions, and practical applications for engineers, emphasizing data manipulation, functional programming, and data structures.
Advanced Types in C: Unions and Bit Fields
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Discusses advanced types in C, focusing on unions, bit fields, and their associated modifiers and operators.
Image Processing Techniques: Seam Carving and Pixel Manipulation
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Discusses image processing techniques, focusing on seam carving and pixel manipulation in Python programming.
In-Place Tokenization: A Case Study in C Programming
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Covers in-place tokenization in C, focusing on modifying strings directly to extract tokens.
Binary Search Trees: Implementation and Operations
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Covers the implementation and operations of basic data structures like stacks, queues, and linked lists, and introduces binary search trees.
Dynamic Memory Management: Using Realloc in C
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Explains dynamic memory allocation in C, focusing on the realloc function and its implications for managing memory effectively.
Data Representation: Models and Systems
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Discusses data representation through models and systems, covering mathematical models, data structures, levels of modeling, and managing data.
Algorithms: Final Exam Review
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Provides a detailed review of the 2016 final exam, covering various algorithmic problems.
Pointers in C: Understanding Memory Addresses and Variables
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Explains pointers in C, focusing on their role as variables that store memory addresses and the importance of understanding memory management.
Introduction to Programming: Basics and Java Development
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Covers the basics of programming, Java development, algorithms, data structures, and the compilation process.
Data Wrangling: Structuring and Cleaning Data
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Explores data wrangling techniques, error detection, functional dependencies, denial constraints, and data temporality.
C++ Programming: Structures and Typedef
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Covers the fundamental concepts of C++ programming, focusing on structures, typedef, and data processing.
Efficient Analytics: Adapting to Modern Data Challenges
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Covers the adaptation of analytics systems to modern hardware and data challenges, focusing on efficiency and scalability through innovative approaches and hybrid systems.
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