Big-O

Time & space complexities of different-different alogrithms and data structure operations.

Wat is Big-O?

Big-O is een Chrome-extensie ontwikkeld door vinamracwsd, en de belangrijkste functie is "Time & space complexities of different-different alogrithms and data structure operations.".

Extensie Screenshots

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Download het CRX-bestand van de extensie Big-O

Download Big-O-extensiebestanden in crx-indeling, installeer Chrome-extensies handmatig in de browser of deel de crx-bestanden met vrienden om Chrome-extensies eenvoudig te installeren.

Instructies voor het Gebruik van de Extensie

                        Big-O helps aspiring software developers remember the time and space complexities of different programming algorithms and various other data structure operations.

Now, you must be wondering how ?
Well, it randomly shows a name of the algorithm or name of the data structure operation along with it's worst case time and space complexity. 

You can also check that how good or bad a complexity is in the options section, just right click on the Big-O icon and then click on options. 

By this, it becomes a fun and easy way to remember complexities of different programming paradigm. 

And we all know how important it becomes to have a good grip on various algorithmic complexities specially when you have a coding interview scheduled nearby.

Well, what are you waiting for..? Add Big-O to your chrome browser NOW...!!!!!!                    

Basisinformatie over de Extensie

Naam Big-O Big-O
ID gkfnhjepojjgckmpdklfhnbemnddiphf
Officiële URL https://chromewebstore.google.com/detail/big-o/gkfnhjepojjgckmpdklfhnbemnddiphf
Beschrijving Time & space complexities of different-different alogrithms and data structure operations.
Bestandsgrootte 259 KB
Aantal Installaties 2,000
Huidige Versie 0.0.1
Laatst Bijgewerkt 2022-08-20
Publicatiedatum 2022-08-20
Beoordeling 4.83/5 Totaal 6 Beoordelingen
Ontwikkelaar vinamracwsd
E-mail [email protected]
Betalingswijze free
Ondersteunde Talen en-US
manifest.json
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    "name": "Big-O",
    "description": "Time & space complexities of different-different alogrithms and data structure operations.",
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