Learn and practice Tries, Graphs, Custom Data Structures, and Topological Sort patterns to solve coding interview problems.

Grokking Grind 75 in Python: Mastery through Coding Patterns

Mastering advanced data structures and sorting techniques is key to efficiently solving challenging coding interview questions. This module explores various patterns that demonstrate the use of advanced data structures, including Trie for efficient data storage, graph traversal for modeling relationships, Custom Data Structures for tailored problem-solving, and Topological Sort for ordering elements. These patterns enhance data organization, optimization, and efficiency in problem-solving.

Advanced Data Structures and Sorting Techniques

# Statement

You are given an integer, `num_courses`, representing the total number of courses you need to complete, labeled from `0` to `num_courses - 1`.

You are also given a `prerequisites` array, where `prerequisites[i] = [a[i], b[i]]` indicates that you must take course `b[i]` first if you want to take the course `a[i]`. For example, the pair $[1, 0]$ indicates that to take course $1$, you have to first take course $0$.

Return TRUE if all of the courses can be finished. Otherwise, return FALSE.

**Constraints:**

- $1 \leq$ `num_courses` $\leq 1500$
- $0 \leq$ `prerequisites.length` $\leq 1000$
- `prerequisites[i].length` $= 2$
- $0 \leq$ `a[i]`, `b[i]` $<$ `num_courses`
- All the pairs `prerequisites[i]` are unique.


# Examples


Try to solve the Course Schedule problem.

Graphs

Trie

Custom Data Structures

Topological Sort

Conclusion

Course Schedule

Statement