A common-sense guide to data structures and algorithms : level up your core programming skills / Jay Wengrow.
Material type:
- 9781680507225
- QA 76.9.D35 .W46 2020 c.1
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NU BALIWAG | NU BALIWAG | Information Technology | General Circulation | GC QA 76.9.D35 .W46 2020 c.1 (Browse shelf(Opens below)) | c.1 | Available | NUBUL000005215 |
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GC QA 76.9 .M66 2020 MONGODB fundamentals : a hands-on guide to using MongoDB and atlas in the real world | GC QA 76.9 .S88 .H43 2017 Systems analysis and design | GC QA 76.9 .U83 .A45 2019 User experience design : a practical introduction / | GC QA 76.9.D35 .W46 2020 c.1 A common-sense guide to data structures and algorithms : level up your core programming skills / | GC QA 76.73 .B87 2020 Learn SQL database programming : query and manipulate databases from popular relational database servers using SQL | GC QA 76.73 .C153 .P75 2020 C# 9 and .NET 5 modern cross-platform development : build intelligent apps, websites, and services with Blazor, ASP.NET Core, and entity framework core using visual studio code / | GC QA 76.73 .J38 .F37 2019 Java programming / |
Includes index.
Part 1. Why data structure matter.--Part 2. Why algorithms matter.--Part 3. O yes! Big o notation.--Part 4. Speeding up your code with big o.--Part 5. Optimizing code with and without big o.--Part 6. Optimizing for optimistic scenario.--Part 7. Big O in everyday.--Part 8. Blazing fast lookup with hash tables.--Part 9. Crafting elegant code with stacks and queues.--Part 10. Reecursiveley recurse with recursion.--Part 11. Learning to write in recursive.--Part 12. Dynamic programming.--Part 13. Recursive algorithms for speed.--Part 14. Node-based data structures.--Part 15. Speeding up all the things with binary search trees.--Part 16. Keeping your priorities straight with heaps.--Part 17. It doesn't hurt to tries.--Part 18. Connecting everything with graphs.--Part 19. Dealing with space constraints.--Part 20. Techniques for code optimization.
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 daily work.
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