Formal languages | Primitive types | Algorithms on strings | Combinatorics on words | Data types | String (computer science)

In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures. Depending on the programming language and precise data type used, a variable declared to be a string may either cause storage in memory to be statically allocated for a predetermined maximum length or employ dynamic allocation to allow it to hold a variable number of elements. When a string appears literally in source code, it is known as a string literal or an anonymous string. In formal languages, which are used in mathematical logic and theoretical computer science, a string is a finite sequence of symbols that are chosen from a set called an alphabet. (Wikipedia).

In physics, string theory is a theoretical framework in which the point-like particles of particle physics are replaced by one-dimensional objects called strings. String theory describes how these strings propagate through space and interact with each other. On distance scales larger than

From playlist Physics

Experimenting and seeing what we can do with strings

From playlist Computer Science

What is the goal of string theory?

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From playlist Science Unplugged: String Theory

What is the most important achievement of string theory?

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From playlist Science Unplugged: String Theory

The stringr library is part of the R tidyverse and provides a range of convenience functions for working with character strings. In this lesson, we learn how to sort strings alphabetically using the stringr package. stringr Series Code Notebook: https://www.kaggle.com/hamelg/stringr-tuto

From playlist stringr

stringr: Basic String Manipulation

The stringr library is part of the R tidyverse and provides a range of convenience functions for working with character strings. In this first lesson of the stringr series, we look at several basic string manipulation functions. stringr Series Code Notebook: https://www.kaggle.com/hamelg

From playlist stringr

Using code to interrogate textual data | I’m a STRING. Ask me anything! | Coding tutorial

What's going on everyone. In this video 🎥, we will use JavaScript and PowerShell to see how we can build and interrogate strings using code 💻. Textual data inside computer programs is represented using sequences of characters that we call strings. So far in this series, we seen how stri

From playlist Data Science - Learn to code for beginners

Python - strings and collections (part 1 of 3)

Strings and collections in the Python language. Part of a larger series at codeschool.org

From playlist Python strings and collections

Fermat's little theorem | Journey into cryptography | Computer Science | Khan Academy

Introduction to a key result in elementary number theory using a visualization with beads Watch the next lesson: https://www.khanacademy.org/computing/computer-science/cryptography/random-algorithms-probability/v/fermat-primality-test-prime-adventure-part-10?utm_source=YT&utm_medium=Desc&

From playlist Journey into cryptography | Computer Science | Khan Academy

This is Lecture 1 of the CSE549 (Computational Biology) course taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Stony Brook University in 2010. The lecture slides are available at: http://www.algorithm.cs.sunysb.edu/computationalbiology/pdf/lecture1.pdf More infor

From playlist CSE549 - Computational Biology - 2010 SBU

Introduction to Programming and Computer Science - Full Course

In this course, you will learn basics of computer programming and computer science. The concepts you learn apply to any and all programming languages and will be a good base onto which you can build your skills. This video is meant for those who are interested in computer science and pro

From playlist Computer Science Concepts

An Introduction to Programming

Welcome to An Introduction to Programming. In this lecture-style series, we will be taking you through the basics of computer science and giving you the tools required to delve into any programming language you would like to learn. This video hopes to give you a good base onto which you ca

From playlist Software Development

1.11.7 The Halting Problem: Video [Optional]

MIT 6.042J Mathematics for Computer Science, Spring 2015 View the complete course: http://ocw.mit.edu/6-042JS15 Instructor: Albert R. Meyer License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 6.042J Mathematics for Computer Science, Spring 2015

Constraint-Satisfaction Problems in Python

Author David Kopec discusses Constraint-Satisfaction Problems in Python. To learn more, see David's book Classic Computer Science Problems in Python | http://mng.bz/opAp Use the discount code TWITKOPE40 for 40% off of any Manning title. A large number of problems which computational too

From playlist Python

1. Introduction, Finite Automata, Regular Expressions

MIT 18.404J Theory of Computation, Fall 2020 Instructor: Michael Sipser View the complete course: https://ocw.mit.edu/18-404JF20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60_JNv2MmK3wkOt9syvfQWY Introduction; course outline, mechanics, and expectations. Described

From playlist MIT 18.404J Theory of Computation, Fall 2020

Xie Chen - CS+Physics - Alumni College 2016

"Topological Quantum Computation" Xie Chen, Assistant Professor of Theoretical Physics, is a condensed-matter theorist who examines quantum-mechanical systems with a large number of degrees of freedom. She is interested in learning how the constituent degrees of freedom cooperate with one

From playlist Talks and Seminars

Defining the Multiparadigm Data Science Workflow

In this first webinar of the three-part Data Science webinar series, you'll learn about Wolfram's multiparadigm approach to data science and see a demonstration of setting up a real-world data science pipeline.

From playlist Data Science Webinar Series

CS105: Introduction to Computers | 2021 | Lecture 18.1 Additional Python Language Features

Patrick Young Computer Science, PhD This course is a survey of Internet technology and the basics of computer hardware. You will learn what computers are and how they work and gain practical experience in the development of websites and an introduction to programming. To follow along wi

From playlist Stanford CS105 - Introduction to Computers Full Course

Lesson 7.2: Strings (old version)

New version: https://www.youtube.com/watch?v=g7juXCBCgHM A video segment from the Coursera MOOC on introductory computer programming with MATLAB by Vanderbilt. Lead instructor: Mike Fitzpatrick. Check out the companion website and textbook: http://cs103.net

From playlist Vanderbilt: Introduction to Computer Programming with MATLAB (CosmoLearning Computer Programming)