A common-sense guide to data structures and algorithms level up your core programming skills
Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and rea...
Otros Autores: | |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Raleigh, North Carolina :
The Pragmatic Bookshelf
[2020]
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Edición: | 2nd edition |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630764306719 |
Tabla de Contenidos:
- Why data structures matter
- Why algorithms matter
- O yes! Big O notation
- Speeding up your code with Big O
- Optimizing code with and without Big O
- Optimizing for optimistic scenarios
- Big O in everyday code
- Blazing fast lookup with hash tables
- Crafting elegant code with stacks and queues
- Recursively recurse with recursion
- Learning to write in recursive
- Dynamic programming
- Recursive algorithms for speed
- Node-based data structures
- Speeding up all the things with binary search trees
- Keeping your priorities straight with heaps
- It doesn't hurt to trie
- Connecting everything with graphs
- Dealing with space constraints
- Techniques for code optimization.