Data types

Boxing (computer science)

In computer science, boxing (a.k.a. wrapping) is the transformation of placing a primitive type within an object so that the value can be used as a reference. Unboxing is the reverse transformation of extracting the primitive value from its wrapper object. Autoboxing is the term for automatically applying boxing and/or unboxing transformations as needed. (Wikipedia).

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COMPUTER SCIENCE TERMINOLOGY

Welcome to part one of computer science terminology, where we take a dive into understanding some of the terms used in computer science and software development. We've started with the basics and will continue to get more complex as this series progresses. --------------------------------

From playlist Computer Science

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Unix for Programmers - My Computer Science Degree in the Real World

I took a unix for programmers in college while pursuing my computer science degree. Today as a software engineer, I want to see what was carried over from that classroom to the real world of software development. ---------------------------------------------------------- I share and docu

From playlist Computer Science

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Why Study Computer Science? | College Majors | College Degrees | Study Hall

What can you do with a Computer Science major? In Computer Science you can expect to study discrete mathematics, probability and statistics, linear algebra, physics and so much more. Basically, Computer Science is the study of computer systems and how they function. If you want to dig de

From playlist Fast Guides: To Electives and Majors

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Computer Science Terminology

Learn computer science terminology. We'll take a dive into understanding some of the terms used in computer science and software development. The video starts with the basics and then gets more advanced. Video from Forrest Knight. Check out his channel: https://www.youtube.com/channel/UC

From playlist Computer Science Concepts

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Conquering Math as a Computer Science Student

Math is one of the most important aspects of your Computer Science Degree. Let's discuss how to get better at math, what math is related to computer science, and a few theoretical and practical examples on how to improve your math skills during college. MIT Math for CS YouTube —- https://

From playlist Computer Science

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COMPUTER SCIENCE TERMINOLOGY 2

Welcome to part two of computer science terminology, where we take a dive into understanding some of the terms used in computer science and software development. We started with the basics in part one and get a bit more complex in this episode. --------------------------------------------

From playlist Computer Science

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Computer Basics: What Is a Computer?

Computers are all around us, and they play an important role in our lives. But what exactly is a computer? We're going to answer that question and give you an overview of some of the different types of computers you might use. 0:00 Intro 0:22 Ones and zeros 0:39 Hardware and software 1:0

From playlist Starting out with Technology

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Working Full Time During College (Computer Science)

When I was a computer science student, I worked full time for many semesters. I'm sharing my story as a full time college student who held a full time job. ---------------------------------------------------------- I share and document my experiences on topics including computer science,

From playlist Computer Science

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Intro to Cryptography

This video gives a general introduction to cryptography WITHOUT actually doing any math. Terms covered include cryptology vs cryptography vs cryptanalysis, symmetric vs public key systems, and "coding theory." NOTE: Yes, I said and wrote "cryptOanalysis" when it's actually "cryptanalysis

From playlist Cryptography and Coding Theory

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The Charm in Proving Something is Impossible: a Complexity Theoretic View by Nutan Limaye

PROGRAM SUMMER SCHOOL FOR WOMEN IN MATHEMATICS AND STATISTICS (ONLINE) ORGANIZERS: Siva Athreya (ISI-Bengaluru, India), Purvi Gupta (IISc, India), Anita Naolekar (ISI-Bengaluru, India) and Dootika Vats (IIT-Kanpur, India) DATE: 14 June 2021 to 25 June 2021 VENUE: ONLINE The summer sch

From playlist Summer School for Women in Mathematics and Statistics (ONLINE) - 2021

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Data Structures & Algorithms #1 - What Are Data Structures?

Data structures and algorithms tutorial #1 - let's go! Check out Brilliant.org, a website for learning computer science concepts through solving problems: https://brilliant.org/csdojo/ Special thanks to Brilliant for sponsoring this video.

From playlist Data Structures and Algorithms

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What We've Learned from NKS Chapter 12: The Principle of Computational Equivalence [Part 3]

In this episode of "What We've Learned from NKS", Stephen Wolfram is counting down to the 20th anniversary of A New Kind of Science with [another] chapter retrospective. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or th

From playlist Science and Research Livestreams

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Lecture 1A: Overview and Introduction to Lisp

MIT 6.001 Structure and Interpretation of Computer Programs, Spring 2005 Instructor: Harold Abelson, Gerald Jay Sussman, Julie Sussman View the complete course: https://ocw.mit.edu/6-001S05 YouTube Playlist: https://www.youtube.com/playlist?list=PLE18841CABEA24090 Overview and Introductio

From playlist MIT 6.001 Structure and Interpretation, 1986

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Lecture 1A | MIT 6.001 Structure and Interpretation, 1986

Overview and Introduction to Lisp Despite the copyright notice on the screen, this course is now offered under a Creative Commons license: BY-NC-SA. Details at http://ocw.mit.edu/terms Subtitles for this course are provided through the generous assistance of Henry Baker, Hoofar Pourzand,

From playlist MIT 6.001 Structure and Interpretation, 1986

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CSS Algorithms - Lara Schenck - JSConf US 2019

Wait... CSS algorithms? Can one really write algorithms in CSS? According to Lara, absolutely! This talk is all about CSS algorithms: what they are, how to write them, and the potential impacts of a word like "algorithm" when it comes to positioning CSS expertise in the larger context of

From playlist JSConf US 2019

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DSI | Diagrammatic Differential Equations in Physics Modeling and Simulation

Abstract: I’ll discuss some results from a recent paper on applying categories of diagrams for specifying multiphysics models for PDE-based simulations. We developed a graphical formalism inspired by the graphical approach to physics pioneered by the late Enzo Tonti. We will discuss the gr

From playlist DSI Virtual Seminar Series

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Perfect secrecy | Journey into cryptography | Computer Science | Khan Academy

Claude Shannon's idea of perfect secrecy: no amount of computational power can help improve your ability to break the one-time pad Watch the next lesson: https://www.khanacademy.org/computing/computer-science/cryptography/crypt/v/random-vs-pseudorandom-number-generators?utm_source=YT&utm_

From playlist Journey into cryptography | Computer Science | Khan Academy

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Quantum Computing: Untangling the Hype

Quantum technology has the potential to revolutionise whole fields of computing; from cryptography to molecular modelling. But how do quantum computers work? Subscribe for regular science videos: http://bit.ly/RiSubscRibe Join leading experts to untangle the quantum computing hype, at th

From playlist Computing/Tech/Engineering

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Geometer Explains One Concept in 5 Levels of Difficulty | WIRED

Computer scientist Keenan Crane, PhD, is asked to explain fractals to 5 different people; a child, a teen, a college student, a grad student, and an expert. Still haven’t subscribed to WIRED on YouTube? ►► http://wrd.cm/15fP7B7 Listen to the Get WIRED podcast ►► https://link.chtbl.com

From playlist Tutorials and Lectures

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Learn Algebra

New Video Everyday at 1 PM EST!!! [ Click Notification Bell ] I was asked by a local teacher to create an Algebra course that quickly reviewed all the key knowledge required. This course is centered around showing how to solve Algebra problems. For best results copy down the problem, watc

From playlist Machine Learning & Data Science

Related pages

Tagged union | Garbage collection (computer science) | Type conversion | Type inference | Generic programming | Primitive data type