Utvidet returrett til 31. januar 2025

Absolute Beginner's Guide to Algorithms

Om Absolute Beginner's Guide to Algorithms

"With the explosive growth in the amount of data and the diversity of computing applications, efficient algorithms are needed now more than ever. Programming languages come and go, but the core of programming--algorithms and data structures--remains the same. Absolute Beginner's Guide to Algorithms is the fastest way to learn algorithms and data structures. Using helpful diagrams and fully annotated code samples in Javascript, you will start with the basics and gradually go deeper and broader into all the techniques you need to organize your data. Start fast with data structures basics: arrays, stacks, queues, trees, heaps, and more. Walk through popular search, sort, and graph algorithms. Understand Big-O notation and why some algorithms are fast and why others are slow. Balance theory with practice by playing with the fully functional JavaScript implementations of all covered data structures and algorithms"--

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  • Språk:
  • Engelsk
  • ISBN:
  • 9780138222291
  • Bindende:
  • Paperback
  • Sider:
  • 416
  • Utgitt:
  • 24. november 2023
  • Dimensjoner:
  • 177x23x227 mm.
  • Vekt:
  • 668 g.
  • BLACK NOVEMBER
  På lager
Leveringstid: 4-7 virkedager
Forventet levering: 28. november 2024

Beskrivelse av Absolute Beginner's Guide to Algorithms

"With the explosive growth in the amount of data and the diversity of computing applications, efficient algorithms are needed now more than ever. Programming languages come and go, but the core of programming--algorithms and data structures--remains the same. Absolute Beginner's Guide to Algorithms is the fastest way to learn algorithms and data structures. Using helpful diagrams and fully annotated code samples in Javascript, you will start with the basics and gradually go deeper and broader into all the techniques you need to organize your data. Start fast with data structures basics: arrays, stacks, queues, trees, heaps, and more. Walk through popular search, sort, and graph algorithms. Understand Big-O notation and why some algorithms are fast and why others are slow. Balance theory with practice by playing with the fully functional JavaScript implementations of all covered data structures and algorithms"--

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