computer-science-in-javascript | classic computer science paradigms algorithms | Learning library

by humanwhocodes JavaScript Version: Current License: MIT

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kandi X-RAY | computer-science-in-javascript Summary

computer-science-in-javascript is a JavaScript library typically used in Tutorial, Learning, Example Codes applications. computer-science-in-javascript has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can install using 'npm i @humanwhocodes/linked-list' or download it from GitHub, npm.

Collection of classic computer science paradigms, algorithms, and approaches written in JavaScript. This is the source code for the series of blog posts on my website.

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computer-science-in-javascript has a medium active ecosystem.

It has 8727 star(s) with 1216 fork(s). There are 327 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 13 have been closed. On average issues are closed in 571 days. There are 9 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of computer-science-in-javascript is current.

Quality

computer-science-in-javascript has 0 bugs and 0 code smells.

Security

computer-science-in-javascript has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

computer-science-in-javascript code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

computer-science-in-javascript is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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computer-science-in-javascript releases are not available. You will need to build from source code and install.

Deployable package is available in npm.

Installation instructions are not available. Examples and code snippets are available.

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computer-science-in-javascript Key Features

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Community Discussions

Trending Discussions on computer-science-in-javascript

Partition for quick sort breaks when the pivot is the minimum

How to partition array of integers to even and odd?

QUESTION

Partition for quick sort breaks when the pivot is the minimum

Asked 2018-Mar-15 at 00:36

I'm choosing the middle point as the pivot but I'm not sure that matters.

If the pivot is the minimum value in the set it does not work correctly.

How can I pick a pivot so that I can correctly create a partition for later use in the quick sort algorithm?

...

ANSWER

Answered 2018-Mar-15 at 00:36

Don't keep an index for the pivot, keep the pivot element value so that you can still compare to it even when it gets swapped around:

Source https://stackoverflow.com/questions/49269421

QUESTION

How to partition array of integers to even and odd?

Asked 2017-Jul-18 at 22:15

I want to partition an array (eg [1,2,3,4,5,6,7,8]), first partition should keep even values, second odd values (example result: [2,4,6,8,1,3,5,7]).

I managed to resolve this problem twice with built-in Array.prototype methods. First solution uses map and sort, second only sort.

I would like to make a third solution which uses a sorting algorithm, but I don't know what algorithms are used to partition lists. I'm thinking about bubble sort, but I think it is used in my second solution (array.sort((el1, el2)=>(el1 % 2 - el2 % 2)))... I looked at quicksort, but I don't know where to apply a check if an integer is even or odd...

What is the best (linear scaling with array grow) algorithm to perform such task in-place with keeping order of elements?

...

ANSWER

Answered 2017-Jul-14 at 23:45

let evens = arr.filter(i=> i%2==0);
let odds = arr.filter(i=> i%2==1);
let result = evens.concat(odds);

Source https://stackoverflow.com/questions/45112958

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install computer-science-in-javascript

You can install using 'npm i @humanwhocodes/linked-list' or download it from GitHub, npm.

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For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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