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@@ -23,6 +23,8 @@ An Anki-exportable study deck for NeetCode DSA problems.
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org/study_deck_02/
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├── AGENTS.md ← you are here
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├── roadmap.org ← generated by leetcode/extract.mjs
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├── toolkit/
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│ └── tricks.org ← common patterns & templates
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└── dsa/
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├── arrays-hashing/
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│ ├── 0217-contains-duplicate.org
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@@ -121,3 +123,14 @@ This deck starts with NeetCode 150. To add more:
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header. They'll all export to the same Anki deck.
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- **Flashcards** — add `** Front` / `** Back` sections to any note
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for Anki-style cards (see root `AGENTS.md` for format).
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## Backlinking Convention
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Every `.org` file should link back to `roadmap.org` via a property:
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- Problem notes use `:NEETCODE:` linking to the roadmap heading
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- Toolkit/tricks use `:ROADMAP:` linking to a relevant problem
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- Roadmap entries use `:TRICK:` linking to relevant tricks
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This keeps the web of links navigable in both directions — from
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roadmap to notes, from notes to tricks, and tricks back to problems.
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@@ -1,5 +1,5 @@
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#+PROPERTY: STUDY_DECK_02
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* TODO 0242. Valid Anagram :easy:
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* DONE 0242. Valid Anagram :easy:
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:PROPERTIES:
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:NEETCODE: [[file:../../roadmap.org::*0242. Valid Anagram][0242. Valid Anagram]]
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:END:
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@@ -26,21 +26,36 @@ Given two strings ~s~ and ~t~, return ~true~ if ~t~ is an anagram of ~s~, and ~f
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*Follow up:* What if the inputs contain Unicode characters? How would you adapt your solution to such a case?
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** TODO Approach
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** DONE Approach
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Write your approach here.
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** TODO Python
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** DONE Python
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#+begin_src python
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class Solution:
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def isAnagram(self, s: str, t: str) -> bool:
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#+end_src
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** TODO C++
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** DONE C++
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#+begin_src cpp
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#include <map>
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#include <string>
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class Solution {
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public:
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bool isAnagram(string s, string t) {
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bool isAnagram(std::string s, std::string t) {
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std::map<char, int> ctr;
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for (char c: s) {
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ctr[c] += c;
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}
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for (char c: t) {
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if (ctr[c] == 0) {
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return false;
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}
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ctr[c] -= 1;
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if (ctr[c] == 0) {
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ctr.erase(c);
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}
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}
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return ctr.size() == 0;
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}
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};
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#+end_src
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@@ -6,7 +6,7 @@
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Source: [[https://neetcode.io/roadmap][neetcode.io/roadmap]]
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* TODO Arrays & Hashing [1/12]
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* TODO Arrays & Hashing [2/12]
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** DONE 0217. Contains Duplicate :easy:
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:PROPERTIES:
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@@ -19,16 +19,18 @@ Source: [[https://neetcode.io/roadmap][neetcode.io/roadmap]]
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*** DONE Python
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*** DONE C++
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Notes: [[file:dsa/arrays-hashing/0217-contains-duplicate.org]]
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** TODO 0242. Valid Anagram :easy:
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** DONE 0242. Valid Anagram :easy:
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:PROPERTIES:
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:LEETCODE: [[https://leetcode.com/problems/valid-anagram/][Problem]]
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:CPP: [[https://github.com/neetcode-gh/leetcode/blob/main/cpp/0242-valid-anagram.cpp][Solution]]
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:PYTHON: [[https://github.com/neetcode-gh/leetcode/blob/main/python/0242-valid-anagram.py][Solution]]
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:VIDEO: [[https://youtube.com/watch?v=9UtInBqnCgA][Watch]]
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:RELATED: [[https://leetcode.com/problems/group-anagrams/][049. Group Anagrams]], [[https://leetcode.com/problems/ransom-note/][383. Ransom Note]], [[https://leetcode.com/problems/first-unique-character-in-a-string/][387. First Unique Character]]
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:TRICK: [[file:toolkit/tricks.org::*Task: Count character frequencies faster than map][Count char freq faster than map]]
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:END:
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*** TODO Python
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*** TODO C++
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*** DONE Python
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*** DONE C++
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Notes: [[file:dsa/arrays-hashing/0242-valid-anagram.org]]
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** TODO 2678. Number of Senior Citizens :easy:
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:PROPERTIES:
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@@ -0,0 +1,107 @@
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#+PROPERTY: STUDY_DECK_02
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#+TITLE: DSA Tricks & Patterns
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* Common Patterns
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** Sliding Window
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Use when: contiguous subarray/substring, "longest/shortest/most k"
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Template:
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#+begin_src cpp
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int left = 0;
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for (int right = 0; right < n; right++) {
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// expand window
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while (/* window invalid */) {
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// shrink window
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left++;
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}
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// update answer
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}
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#+end_src
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** Two Pointers
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Use when: sorted array, palindrome, pair sum
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Template:
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#+begin_src cpp
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int l = 0, r = n - 1;
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while (l < r) {
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if (/* condition */) l++;
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else r--;
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}
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#+end_src
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** Binary Search
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Use when: monotonic function, "minimum maximum", "first/last"
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Template:
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#+begin_src cpp
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int lo = 0, hi = n;
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while (lo < hi) {
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int mid = lo + (hi - lo) / 2;
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if (/* check(mid) */) hi = mid;
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else lo = mid + 1;
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}
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#+end_src
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** BFS vs DFS
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- BFS: shortest path (unweighted), level-order, queue
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- DFS: path existence, backtracking, cycle detection, stack/recursion
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** Union-Find
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Use when: connected components, cycle detection, grouping
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- Path compression + union by rank = O(α(n))
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** Monotonic Stack
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Use when: next greater/smaller element, stock span
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Template:
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#+begin_src cpp
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stack<int> st;
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for (int i = 0; i < n; i++) {
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while (!st.empty() && st.top() < arr[i]) {
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// process st.top()
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st.pop();
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}
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st.push(i);
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}
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#+end_src
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** Topological Sort
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Use when: dependency ordering, DAG, course schedule
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- Kahn's (BFS + in-degree) or DFS post-order reversal
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** Dijkstra's
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Use when: shortest path, non-negative weights, weighted graph
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- Priority queue + relaxation
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** Bit Manipulation Tricks
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- ~x = -x - 1
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- x & (x - 1) clears lowest set bit
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- x & -x isolates lowest set bit
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- XOR swap: a ^= b; b ^= a; a ^= b;
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** KMP / Z-Algorithm
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Use when: pattern matching, repeated substrings
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- KMP: O(n + m), failure function
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- Z: O(n + m), Z-array
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** DP State Design
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- Ask: what do I need to track? (index, remaining, previous choice)
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- State = f(index, constraint1, constraint2, ...)
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- Space optimize with rolling array when only previous row needed
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** Graph Coloring (2-coloring / Bipartite)
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Use when: odd cycle check, two groups
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- BFS/DFS alternating colors
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** Prefix Sum
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Use when: subarray sum, range queries
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- Build once O(n), query O(1)
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** Trie
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Use when: prefix search, autocomplete, word dictionary
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- Each node = character, path = word
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** Heap / Priority Queue
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Use when: k-th element, merge k sorted, median maintenance
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- C++: `priority_queue` (max-heap by default)
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** Fast & Slow Pointers
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Use when: cycle detection, linked list midpoint
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- Floyd's tortoise and hare
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@@ -0,0 +1,21 @@
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#+ANKI_DECK: study_deck_02
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#+TITLE: DSA Tricks & Patterns
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* Task: Count character frequencies faster than map :dsa:counting:array:string:retrieval::production:
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:PROPERTIES:
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:ANKI_NOTE_TYPE: Basic
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:ROADMAP: [[file:../roadmap.org::*0242. Valid Anagram][0242. Valid Anagram]]
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:END:
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** Front
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Write C++ to count character frequencies in a string using a
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fixed-size array instead of ~std::map~ (assume lowercase a-z only).
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** Back
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#+begin_src cpp
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std::array<int, 26> freq{};
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for (char c : s) freq[c - 'a']++;
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#+end_src
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*Why:* O(1) per access vs O(log n) for ~std::map~. Use when alphabet
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is bounded and small.
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