mirror of
https://github.com/prdlk/leetcode.git
synced 2026-11-02 13:12:44 +00:00
docs(docs): add ProblemBadges component, layout slot, and enrich pages with topics/video frontmatter, plus guide placeholders and topic‑landing map.
This commit is contained in:
1 parent
b035d1ffa0
commit
d2888360e2
104 files changed
+741
-355
No files matched your search
@@ -2,13 +2,15 @@
|
||||
title: '1. Two Sum'
|
||||
description: You are given an array of integers nums and an integer target, return indices of the two numbers such that they add up to target
|
||||
icon: dot
|
||||
topics:
|
||||
- { name: "Array", slug: "array" }
|
||||
- { name: "Hash Table", slug: "hash-table" }
|
||||
video: "KLlXCFG5TnA"
|
||||
sidebar:
|
||||
label: 'Two Sum'
|
||||
badge: 'Easy'
|
||||
---
|
||||
|
||||
<Badge variant="accent">Array</Badge>
|
||||
|
||||
::::warning
|
||||
Can you come up with an algorithm that is less than O(n^2) time complexity?
|
||||
::::
|
||||
@@ -60,7 +62,3 @@ class Solution:
|
||||
seen[num] = i
|
||||
return []
|
||||
```
|
||||
|
||||
## Explanation
|
||||
|
||||
<YouTube id="KLlXCFG5TnA" title="Two Sum - Leetcode 1 - HashMap - Python" />
|
||||
+3
-2
@@ -2,13 +2,14 @@
|
||||
title: '1832. Check if the Sentence Is Pangram'
|
||||
description: A pangram is a sentence where every letter of the English alphabet appears at least once
|
||||
icon: dot
|
||||
topics:
|
||||
- { name: "Hash Table", slug: "hash-table" }
|
||||
- { name: "String", slug: "string" }
|
||||
sidebar:
|
||||
label: 'Check if the Sentence Is Pangram'
|
||||
badge: 'Easy'
|
||||
---
|
||||
|
||||
<Badge variant="accent">Hash Table</Badge>
|
||||
|
||||
### Example 1:
|
||||
- Input: `sentence = "thequickbrownfoxjumpsoverthelazydog"`
|
||||
- Output: `true`
|
||||
|
||||
@@ -2,13 +2,16 @@
|
||||
title: '217. Contains Duplicate'
|
||||
description: Given an integer array nums, return true if any value appears at least twice in the array, and return false if every element is distinct
|
||||
icon: dot
|
||||
topics:
|
||||
- { name: "Array", slug: "array" }
|
||||
- { name: "Hash Table", slug: "hash-table" }
|
||||
- { name: "Sorting", slug: "sorting" }
|
||||
video: "3OamzN90kPg"
|
||||
sidebar:
|
||||
label: 'Contains Duplicate'
|
||||
badge: 'Easy'
|
||||
---
|
||||
|
||||
<Badge variant="accent">Array</Badge>
|
||||
|
||||
### Example 1:
|
||||
- Input: `nums = [1,2,3,1]`
|
||||
- Output: `true`
|
||||
@@ -48,7 +51,3 @@ class Solution:
|
||||
def containsDuplicate(self, nums: List[int]) -> bool:
|
||||
return len(set(nums)) != len(nums)
|
||||
```
|
||||
|
||||
## Explanation
|
||||
|
||||
<YouTube id="3OamzN90kPg" title="Contains Duplicate - Leetcode 217 - Python" />
|
||||
@@ -2,13 +2,16 @@
|
||||
title: '242. Valid Anagram'
|
||||
description: Given two strings s and t, return true if t is an anagram of s, and false otherwise
|
||||
icon: dot
|
||||
topics:
|
||||
- { name: "Hash Table", slug: "hash-table" }
|
||||
- { name: "String", slug: "string" }
|
||||
- { name: "Sorting", slug: "sorting" }
|
||||
video: "9UtInBqnCgA"
|
||||
sidebar:
|
||||
label: 'Valid Anagram'
|
||||
badge: 'Easy'
|
||||
---
|
||||
|
||||
<Badge variant="accent">Hash Table</Badge>
|
||||
|
||||
::::warning
|
||||
What if the inputs contain Unicode characters? How would you adapt your solution to such a case?
|
||||
::::
|
||||
@@ -60,7 +63,3 @@ var isAnagram = function(s, t) {
|
||||
return true;
|
||||
};
|
||||
```
|
||||
|
||||
## Explanation
|
||||
|
||||
<YouTube id="9UtInBqnCgA" title="Valid Anagram - Leetcode 242 - Python" />
|
||||
+10
-6
@@ -2,13 +2,21 @@
|
||||
title: '347. Top K Frequent Elements'
|
||||
description: Given an integer array nums and an integer k, return the k most frequent elements. You may return the answer in any order
|
||||
icon: dot
|
||||
topics:
|
||||
- { name: "Array", slug: "array" }
|
||||
- { name: "Hash Table", slug: "hash-table" }
|
||||
- { name: "Divide and Conquer", slug: "divide-and-conquer" }
|
||||
- { name: "Sorting", slug: "sorting" }
|
||||
- { name: "Heap (Priority Queue)", slug: "heap-priority-queue" }
|
||||
- { name: "Bucket Sort", slug: "bucket-sort" }
|
||||
- { name: "Counting", slug: "counting" }
|
||||
- { name: "Quickselect", slug: "quickselect" }
|
||||
video: "YPTqKIgVk-k"
|
||||
sidebar:
|
||||
label: 'Top K Frequent Elements'
|
||||
badge: 'Medium'
|
||||
---
|
||||
|
||||
<Badge variant="accent">Array</Badge>
|
||||
|
||||
::::warning
|
||||
Your algorithm's time complexity must be better than O(n log n), where n is the array's size.
|
||||
::::
|
||||
@@ -60,7 +68,3 @@ var topKFrequent = function (nums, k) {
|
||||
.slice(0, k);
|
||||
};
|
||||
```
|
||||
|
||||
## Explanation
|
||||
|
||||
<YouTube id="YPTqKIgVk-k" title="Top K Frequent Elements - Bucket Sort - Leetcode 347 - Python" />
|
||||
+6
-6
@@ -2,13 +2,17 @@
|
||||
title: '387. First Unique Character in a String'
|
||||
description: Given a string s, find the first non-repeating character in it and return its index. If it does not exist, return -1
|
||||
icon: dot
|
||||
topics:
|
||||
- { name: "Hash Table", slug: "hash-table" }
|
||||
- { name: "String", slug: "string" }
|
||||
- { name: "Queue", slug: "queue" }
|
||||
- { name: "Counting", slug: "counting" }
|
||||
video: "rBENYgWy3xU"
|
||||
sidebar:
|
||||
label: 'First Unique Character in a String'
|
||||
badge: 'Easy'
|
||||
---
|
||||
|
||||
<Badge variant="accent">Hash Table</Badge>
|
||||
|
||||
### Example 1:
|
||||
- Input: `s = "leetcode"`
|
||||
- Output: `0`
|
||||
@@ -58,7 +62,3 @@ var firstUniqChar = function (s) {
|
||||
return -1;
|
||||
};
|
||||
```
|
||||
|
||||
## Explanation
|
||||
|
||||
<YouTube id="rBENYgWy3xU" title="First Unique Character in a String - Leetcode 387 - Python" />
|
||||
+8
-6
@@ -2,13 +2,19 @@
|
||||
title: '451. Sort Characters By Frequency'
|
||||
description: Given a string s, sort it in decreasing order based on the frequency of the characters. The frequency of a character is the number of times it appears in the string
|
||||
icon: dot
|
||||
topics:
|
||||
- { name: "Hash Table", slug: "hash-table" }
|
||||
- { name: "String", slug: "string" }
|
||||
- { name: "Sorting", slug: "sorting" }
|
||||
- { name: "Heap (Priority Queue)", slug: "heap-priority-queue" }
|
||||
- { name: "Bucket Sort", slug: "bucket-sort" }
|
||||
- { name: "Counting", slug: "counting" }
|
||||
video: "OXdXc9HTrIg"
|
||||
sidebar:
|
||||
label: 'Sort Characters By Frequency'
|
||||
badge: 'Medium'
|
||||
---
|
||||
|
||||
<Badge variant="accent">Hash Table</Badge>
|
||||
|
||||
### Example 1:
|
||||
- Input: `s = "tree"`
|
||||
- Output: `"eert"`
|
||||
@@ -60,7 +66,3 @@ var frequencySort = function (s) {
|
||||
.join("");
|
||||
};
|
||||
```
|
||||
|
||||
## Explanation
|
||||
|
||||
<YouTube id="OXdXc9HTrIg" title="Sort Characters By Frequency - Leetcode 451 - Python" />
|
||||
@@ -2,13 +2,17 @@
|
||||
title: '49. Group Anagrams'
|
||||
description: Given an array of strings strs, group the anagrams together. You can return the answer in any order
|
||||
icon: dot
|
||||
topics:
|
||||
- { name: "Array", slug: "array" }
|
||||
- { name: "Hash Table", slug: "hash-table" }
|
||||
- { name: "String", slug: "string" }
|
||||
- { name: "Sorting", slug: "sorting" }
|
||||
video: "vzdNOK2oB2E"
|
||||
sidebar:
|
||||
label: 'Group Anagrams'
|
||||
badge: 'Medium'
|
||||
---
|
||||
|
||||
<Badge variant="accent">Array</Badge>
|
||||
|
||||
### Example 1:
|
||||
- Input: `strs = ["eat","tea","tan","ate","nat","bat"]`
|
||||
- Output: `[["bat"],["nat","tan"],["ate","eat","tea"]]`
|
||||
@@ -65,7 +69,3 @@ var groupAnagrams = function(strs) {
|
||||
return Object.values(anagrams);
|
||||
};
|
||||
```
|
||||
|
||||
## Explanation
|
||||
|
||||
<YouTube id="vzdNOK2oB2E" title="Group Anagrams - Categorize Strings by Count - Leetcode 49" />
|
||||
Reference in new issue
Block a user