A common-sense guide to data structures and algorithms : level up your core programming skills /
Take a practical approach to data structures and algorithms, using techniques and real-world scenarios in JavaScript, Python, and Ruby that you can put into production right away. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your da...
Guardado en:
| Autor principal: | |
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| Formato: | Libro |
| Lenguaje: | inglés |
| Publicado: |
Raleigh, North Carolina :
The Pragmatic Bookshelf,
2020
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| Edición: | 2nd ed |
| Colección: | The pragmatic programmers
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| Materias: | |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
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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.