Concept

Reference (computer science)

Related lectures (27)

Mutable and Immutable Objects

Explains the differences between mutable and immutable objects in Python and covers native container types.

Python Programming Basics

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

Python: Dictionaries and Tuples

Explores dictionaries, tuples, mutable objects, and variable-length arguments in Python.

Records and Variants

Introduces records, variants, evaluation rules, typing rules, aliasing challenges, and benefits in programming languages.

Safe Mutation in Scala

Explores safe mutation in Scala, emphasizing the management of mutable state and its significance in interactions, modeling, and implementation efficiency.

Function Building Methodology

Covers the methodology for constructing a function and implementing its body.

Programming Paradigms: Functional, OOP, Polymorphism

Explores programming paradigms like procedural, functional, and OOP, with examples in Python.

Polymorphism: Cons-Lists

Covers the concept of polymorphism in programming and the implementation of immutable linked lists in Scala.

Pointers: Reference Passing & Deep Copy

Explores passing by reference in C, deep copying, memory allocation rules, and type differentiation.

Passing by Reference: Benefits and Performance Considerations

Explores passing by reference in functions, highlighting benefits and performance considerations compared to passing by value.

Functions in Python

Introduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.

Scopes and Lambdas: Data Science with Python

Covers scopes, lambdas, and pandas in data science with Python, including nested declarations, scoping, assignments, and pandas manipulation.

Functions in C++: Basics and Recursion

Covers the basics of functions in C++, including recursion and memory organization.

Functions: Python Basics

Covers the basics of functions in Python, including their definition, purpose, and usage.

Garbage Collection in Object-Oriented Languages

Explores garbage collection techniques in object-oriented languages, focusing on mostly-copying and generational GC, heap organization, promotion policies, and method dispatch challenges.

Effective Altruism: AI Safety and Governance

Covers effective altruism in AI safety, focusing on programming semantics and memory management.

Function Arguments: Value vs Reference

Explains passing arguments by value vs reference in C++, highlighting when to use each method.

Pointers in C: Understanding Their Utility and Applications

Covers the definition and applications of pointers in C programming, emphasizing their role in memory management and generic programming.

Memory Management: Copying Garbage Collection

Explores copying garbage collection, generational GC, inter-generational pointers, finalizers, weak references, and various GC techniques.

Arguments in Java

Explains passing arguments in Java methods with examples of primitive and complex types.