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docs: add companies frontmatter, schema, and rendering in badges & appendix pages

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Prad Nukala committed 2026-10-14 15:52:02 -04:00
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apps/docs/content/(01-linear-structures)/binary-search/153_find-minimum-in-rotated-sorted-array.mdx
+7
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@@ -7,6 +7,13 @@ topics:
- { name: "Binary Search", slug: "binary-search" }
video: "nIVW4P8b1VA"
issue: "https://github.com/prdlk/leetcode/issues/62"
companies:
- { name: "Ola Cabs", period: "Thirty Days", frequency: 65.6 }
- { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
- { name: "Google", period: "Thirty Days", frequency: 29 }
- { name: "tcs", period: "Six Months", frequency: 43.5 }
- { name: "Bloomberg", period: "Six Months", frequency: 40.6 }
- { name: "Meta", period: "Six Months", frequency: 32.7 }
sidebar:
label: 'Find Minimum in Rotated Sorted Array'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/binary-search/162_find-peak-element.mdx
+9
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@@ -6,6 +6,15 @@ topics:
- { name: "Array", slug: "array" }
- { name: "Binary Search", slug: "binary-search" }
issue: "https://github.com/prdlk/leetcode/issues/64"
companies:
- { name: "Infosys", period: "Thirty Days", frequency: 68.6 }
- { name: "tcs", period: "Thirty Days", frequency: 67.6 }
- { name: "Google", period: "Thirty Days", frequency: 29 }
- { name: "Meta", period: "Three Months", frequency: 54.8 }
- { name: "Microsoft", period: "Three Months", frequency: 42.1 }
- { name: "Bloomberg", period: "Three Months", frequency: 36.8 }
- { name: "Amazon", period: "Three Months", frequency: 34.6 }
- { name: "Uber", period: "Six Months", frequency: 67.2 }
sidebar:
label: 'Find Peak Element'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/binary-search/33_search-in-rotated-sorted-array.mdx
+12
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@@ -7,6 +7,18 @@ topics:
- { name: "Binary Search", slug: "binary-search" }
video: "U8XENwh8Oy8"
issue: "https://github.com/prdlk/leetcode/issues/60"
companies:
- { name: "Meta", period: "Thirty Days", frequency: 53.8 }
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Google", period: "Thirty Days", frequency: 36.7 }
- { name: "Oracle", period: "Three Months", frequency: 100 }
- { name: "Bloomberg", period: "Three Months", frequency: 68.3 }
- { name: "Microsoft", period: "Three Months", frequency: 33.4 }
- { name: "TikTok", period: "Six Months", frequency: 64.9 }
- { name: "LinkedIn", period: "Six Months", frequency: 63.3 }
- { name: "Yandex", period: "Six Months", frequency: 59.6 }
- { name: "Goldman Sachs", period: "Six Months", frequency: 53.1 }
- { name: "Apple", period: "Six Months", frequency: 48.1 }
sidebar:
label: 'Search in Rotated Sorted Array'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/binary-search/34_find-first-and-last-position-of-element-in-sorted-array.mdx
+11
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@@ -6,6 +6,17 @@ topics:
- { name: "Array", slug: "array" }
- { name: "Binary Search", slug: "binary-search" }
issue: "https://github.com/prdlk/leetcode/issues/65"
companies:
- { name: "Microsoft", period: "Thirty Days", frequency: 57.2 }
- { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
- { name: "Google", period: "Thirty Days", frequency: 36.7 }
- { name: "TikTok", period: "Three Months", frequency: 70.9 }
- { name: "tcs", period: "Three Months", frequency: 47.7 }
- { name: "Meta", period: "Three Months", frequency: 43.3 }
- { name: "Bloomberg", period: "Three Months", frequency: 36.8 }
- { name: "Instacart", period: "Six Months", frequency: 100 }
- { name: "Apple", period: "Six Months", frequency: 70.2 }
- { name: "Infosys", period: "Six Months", frequency: 56.2 }
sidebar:
label: 'Find First and Last Position of Element in Sorted Array'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/binary-search/35_search-insert-position.mdx
+9
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@@ -7,6 +7,15 @@ topics:
- { name: "Binary Search", slug: "binary-search" }
video: "K-RYzDZkzCI"
issue: "https://github.com/prdlk/leetcode/issues/63"
companies:
- { name: "Google", period: "Thirty Days", frequency: 50.2 }
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Grammarly", period: "Three Months", frequency: 84.8 }
- { name: "Bloomberg", period: "Three Months", frequency: 54 }
- { name: "Meta", period: "Three Months", frequency: 49.8 }
- { name: "tcs", period: "Three Months", frequency: 47.7 }
- { name: "Microsoft", period: "Three Months", frequency: 42.1 }
- { name: "Infosys", period: "Six Months", frequency: 56.2 }
sidebar:
label: 'Search Insert Position'
badge: 'Easy'
apps/docs/content/(01-linear-structures)/binary-search/4_median-of-two-sorted-arrays.mdx
+13
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@@ -7,6 +7,19 @@ topics:
- { name: "Binary Search", slug: "binary-search" }
- { name: "Divide and Conquer", slug: "divide-and-conquer" }
issue: "https://github.com/prdlk/leetcode/issues/66"
companies:
- { name: "Rippling", period: "Thirty Days", frequency: 93 }
- { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
- { name: "Amazon", period: "Thirty Days", frequency: 69.6 }
- { name: "Meta", period: "Thirty Days", frequency: 63.8 }
- { name: "Google", period: "Thirty Days", frequency: 62 }
- { name: "Microsoft", period: "Thirty Days", frequency: 57.2 }
- { name: "eBay", period: "Three Months", frequency: 82.2 }
- { name: "Goldman Sachs", period: "Three Months", frequency: 57 }
- { name: "tcs", period: "Three Months", frequency: 47.7 }
- { name: "Zoho", period: "Six Months", frequency: 79.6 }
- { name: "DE Shaw", period: "Six Months", frequency: 74.2 }
- { name: "Apple", period: "Six Months", frequency: 48.1 }
sidebar:
label: 'Median of Two Sorted Arrays'
badge: 'Hard'
apps/docs/content/(01-linear-structures)/binary-search/704_binary-search.mdx
+6
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@@ -7,6 +7,12 @@ topics:
- { name: "Binary Search", slug: "binary-search" }
video: "s4DPM8ct1pI"
issue: "https://github.com/prdlk/leetcode/issues/58"
companies:
- { name: "Google", period: "Thirty Days", frequency: 53.2 }
- { name: "Bloomberg", period: "Three Months", frequency: 54 }
- { name: "Meta", period: "Three Months", frequency: 49.8 }
- { name: "Microsoft", period: "Three Months", frequency: 42.1 }
- { name: "Amazon", period: "Three Months", frequency: 39.1 }
sidebar:
label: 'Binary Search'
badge: 'Easy'
apps/docs/content/(01-linear-structures)/binary-search/74_search-a-2d-matrix.mdx
+9
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@@ -8,6 +8,15 @@ topics:
- { name: "Matrix", slug: "matrix" }
video: "Ber2pi2C0j0"
issue: "https://github.com/prdlk/leetcode/issues/61"
companies:
- { name: "Goldman Sachs", period: "Thirty Days", frequency: 62.9 }
- { name: "Microsoft", period: "Three Months", frequency: 57.2 }
- { name: "Amazon", period: "Three Months", frequency: 34.6 }
- { name: "Meta", period: "Three Months", frequency: 34.5 }
- { name: "Google", period: "Three Months", frequency: 17.3 }
- { name: "SAP", period: "Six Months", frequency: 100 }
- { name: "tcs", period: "Six Months", frequency: 43.5 }
- { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
sidebar:
label: 'Search a 2D Matrix'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/binary-search/875_koko-eating-bananas.mdx
+12
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@@ -7,6 +7,18 @@ topics:
- { name: "Binary Search", slug: "binary-search" }
video: "U2SozAs9RzA"
issue: "https://github.com/prdlk/leetcode/issues/59"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 69.6 }
- { name: "Google", period: "Thirty Days", frequency: 29 }
- { name: "Nvidia", period: "Three Months", frequency: 100 }
- { name: "Infosys", period: "Three Months", frequency: 87.4 }
- { name: "Meta", period: "Three Months", frequency: 62.3 }
- { name: "Bloomberg", period: "Three Months", frequency: 54 }
- { name: "Coupang", period: "Six Months", frequency: 100 }
- { name: "Swiggy", period: "Six Months", frequency: 100 }
- { name: "Accenture", period: "Six Months", frequency: 75 }
- { name: "Microsoft", period: "Six Months", frequency: 56.9 }
- { name: "Goldman Sachs", period: "Six Months", frequency: 44.8 }
sidebar:
label: 'Koko Eating Bananas'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/hash-table/128_longest-consecutive-sequence.mdx
+12
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@@ -7,6 +7,18 @@ topics:
- { name: "Hash Table", slug: "hash-table" }
- { name: "Union-Find", slug: "union-find" }
issue: "https://github.com/prdlk/leetcode/issues/34"
companies:
- { name: "tcs", period: "Thirty Days", frequency: 74.3 }
- { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
- { name: "Amazon", period: "Thirty Days", frequency: 65.8 }
- { name: "Microsoft", period: "Thirty Days", frequency: 57.2 }
- { name: "Google", period: "Thirty Days", frequency: 53.2 }
- { name: "Apple", period: "Three Months", frequency: 69 }
- { name: "Meta", period: "Three Months", frequency: 34.5 }
- { name: "Paytm", period: "Six Months", frequency: 100 }
- { name: "Nvidia", period: "Six Months", frequency: 91.1 }
- { name: "TikTok", period: "Six Months", frequency: 55.2 }
- { name: "Salesforce", period: "Six Months", frequency: 50.2 }
sidebar:
label: 'Longest Consecutive Sequence'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/hash-table/1832_check-if-the-sentence-is-pangram.mdx
+4
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@@ -5,6 +5,10 @@ icon: dot
topics:
- { name: "Hash Table", slug: "hash-table" }
- { name: "String", slug: "string" }
companies:
- { name: "Bloomberg", period: "Six Months", frequency: 34.2 }
- { name: "Amazon", period: "Six Months", frequency: 14.3 }
- { name: "Google", period: "Six Months", frequency: 11.8 }
sidebar:
label: 'Check if the Sentence Is Pangram'
badge: 'Easy'
apps/docs/content/(01-linear-structures)/hash-table/1_two-sum.mdx
+29
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@@ -7,6 +7,35 @@ topics:
- { name: "Hash Table", slug: "hash-table" }
video: "KLlXCFG5TnA"
issue: "https://github.com/prdlk/leetcode/issues/29"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 100 }
- { name: "Google", period: "Thirty Days", frequency: 100 }
- { name: "Meta", period: "Thirty Days", frequency: 100 }
- { name: "Microsoft", period: "Thirty Days", frequency: 100 }
- { name: "tcs", period: "Thirty Days", frequency: 79.6 }
- { name: "Ola Cabs", period: "Thirty Days", frequency: 76.7 }
- { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
- { name: "Infosys", period: "Thirty Days", frequency: 68.6 }
- { name: "Altimetrik", period: "Three Months", frequency: 100 }
- { name: "Capgemini", period: "Three Months", frequency: 100 }
- { name: "Microstrategy", period: "Three Months", frequency: 100 }
- { name: "MongoDB", period: "Three Months", frequency: 100 }
- { name: "Cognizant", period: "Three Months", frequency: 88.7 }
- { name: "Apple", period: "Three Months", frequency: 80.4 }
- { name: "Barclays", period: "Six Months", frequency: 100 }
- { name: "Cisco", period: "Six Months", frequency: 100 }
- { name: "Deloitte", period: "Six Months", frequency: 100 }
- { name: "Expedia", period: "Six Months", frequency: 100 }
- { name: "NetApp", period: "Six Months", frequency: 100 }
- { name: "Samsung", period: "Six Months", frequency: 100 }
- { name: "Sony", period: "Six Months", frequency: 100 }
- { name: "Oracle", period: "Six Months", frequency: 91.2 }
- { name: "Qualcomm", period: "Six Months", frequency: 80.7 }
- { name: "IBM", period: "Six Months", frequency: 77.2 }
- { name: "eBay", period: "Six Months", frequency: 75.2 }
- { name: "Walmart Labs", period: "Six Months", frequency: 70.5 }
- { name: "Flipkart", period: "Six Months", frequency: 57.1 }
- { name: "Goldman Sachs", period: "Six Months", frequency: 44.8 }
sidebar:
label: 'Two Sum'
badge: 'Easy'
apps/docs/content/(01-linear-structures)/hash-table/205_isomorphic-strings.mdx
+7
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@@ -6,6 +6,13 @@ topics:
- { name: "Hash Table", slug: "hash-table" }
- { name: "String", slug: "string" }
issue: "https://github.com/prdlk/leetcode/issues/33"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Google", period: "Thirty Days", frequency: 36.7 }
- { name: "Bloomberg", period: "Three Months", frequency: 54 }
- { name: "tcs", period: "Three Months", frequency: 47.7 }
- { name: "Microsoft", period: "Three Months", frequency: 33.4 }
- { name: "Meta", period: "Six Months", frequency: 24.5 }
sidebar:
label: 'Isomorphic Strings'
badge: 'Easy'
apps/docs/content/(01-linear-structures)/hash-table/217_contains-duplicate.mdx
+6
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@@ -8,6 +8,12 @@ topics:
- { name: "Sorting", slug: "sorting" }
video: "3OamzN90kPg"
issue: "https://github.com/prdlk/leetcode/issues/27"
companies:
- { name: "Meta", period: "Thirty Days", frequency: 53.8 }
- { name: "Google", period: "Thirty Days", frequency: 50.2 }
- { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
- { name: "Microsoft", period: "Three Months", frequency: 48.3 }
- { name: "Bloomberg", period: "Three Months", frequency: 36.8 }
sidebar:
label: 'Contains Duplicate'
badge: 'Easy'
apps/docs/content/(01-linear-structures)/hash-table/242_valid-anagram.mdx
+10
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@@ -8,6 +8,16 @@ topics:
- { name: "Sorting", slug: "sorting" }
video: "9UtInBqnCgA"
issue: "https://github.com/prdlk/leetcode/issues/28"
companies:
- { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
- { name: "tcs", period: "Thirty Days", frequency: 58.2 }
- { name: "Google", period: "Thirty Days", frequency: 53.2 }
- { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
- { name: "IBM", period: "Three Months", frequency: 100 }
- { name: "Infosys", period: "Three Months", frequency: 66 }
- { name: "Bloomberg", period: "Three Months", frequency: 64.4 }
- { name: "Meta", period: "Three Months", frequency: 58.9 }
- { name: "Deloitte", period: "Six Months", frequency: 81 }
sidebar:
label: 'Valid Anagram'
badge: 'Easy'
apps/docs/content/(01-linear-structures)/hash-table/290_word-pattern.mdx
+4
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@@ -6,6 +6,10 @@ topics:
- { name: "Hash Table", slug: "hash-table" }
- { name: "String", slug: "string" }
issue: "https://github.com/prdlk/leetcode/issues/35"
companies:
- { name: "Google", period: "Three Months", frequency: 17.3 }
- { name: "Microsoft", period: "Six Months", frequency: 24.1 }
- { name: "Amazon", period: "Six Months", frequency: 20.9 }
sidebar:
label: 'Word Pattern'
badge: 'Easy'
apps/docs/content/(01-linear-structures)/hash-table/347_top-k-frequent-elements.mdx
+17
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@@ -13,6 +13,23 @@ topics:
- { name: "Quickselect", slug: "quickselect" }
video: "YPTqKIgVk-k"
issue: "https://github.com/prdlk/leetcode/issues/31"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 72.9 }
- { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
- { name: "Google", period: "Thirty Days", frequency: 42.3 }
- { name: "Bloomberg", period: "Three Months", frequency: 54 }
- { name: "Snap", period: "Six Months", frequency: 100 }
- { name: "SoFi", period: "Six Months", frequency: 100 }
- { name: "PayPal", period: "Six Months", frequency: 88.4 }
- { name: "Walmart Labs", period: "Six Months", frequency: 81.4 }
- { name: "Nvidia", period: "Six Months", frequency: 78.7 }
- { name: "eBay", period: "Six Months", frequency: 75.2 }
- { name: "Visa", period: "Six Months", frequency: 69.7 }
- { name: "Snowflake", period: "Six Months", frequency: 58.7 }
- { name: "TikTok", period: "Six Months", frequency: 55.2 }
- { name: "Meta", period: "Six Months", frequency: 50.6 }
- { name: "Apple", period: "Six Months", frequency: 48.1 }
- { name: "tcs", period: "Six Months", frequency: 43.5 }
sidebar:
label: 'Top K Frequent Elements'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/hash-table/387_first-unique-character-in-a-string.mdx
+10
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@@ -8,6 +8,16 @@ topics:
- { name: "Queue", slug: "queue" }
- { name: "Counting", slug: "counting" }
video: "rBENYgWy3xU"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
- { name: "Yandex", period: "Three Months", frequency: 76.1 }
- { name: "tcs", period: "Three Months", frequency: 73.7 }
- { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
- { name: "Meta", period: "Three Months", frequency: 43.3 }
- { name: "Google", period: "Three Months", frequency: 23.9 }
- { name: "EPAM Systems", period: "Six Months", frequency: 76.2 }
- { name: "Goldman Sachs", period: "Six Months", frequency: 59 }
- { name: "Microsoft", period: "Six Months", frequency: 32 }
sidebar:
label: 'First Unique Character in a String'
badge: 'Easy'
apps/docs/content/(01-linear-structures)/hash-table/451_sort-characters-by-frequency.mdx
+6
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@@ -10,6 +10,12 @@ topics:
- { name: "Bucket Sort", slug: "bucket-sort" }
- { name: "Counting", slug: "counting" }
video: "OXdXc9HTrIg"
companies:
- { name: "Meta", period: "Three Months", frequency: 49.8 }
- { name: "Microsoft", period: "Three Months", frequency: 48.3 }
- { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
- { name: "Google", period: "Three Months", frequency: 17.3 }
- { name: "Amazon", period: "Six Months", frequency: 20.9 }
sidebar:
label: 'Sort Characters By Frequency'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/hash-table/49_group-anagrams.mdx
+25
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@@ -9,6 +9,31 @@ topics:
- { name: "Sorting", slug: "sorting" }
video: "vzdNOK2oB2E"
issue: "https://github.com/prdlk/leetcode/issues/30"
companies:
- { name: "Apple", period: "Thirty Days", frequency: 100 }
- { name: "Amazon", period: "Thirty Days", frequency: 78.4 }
- { name: "Ola Cabs", period: "Thirty Days", frequency: 76.7 }
- { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
- { name: "tcs", period: "Thirty Days", frequency: 58.2 }
- { name: "Meta", period: "Thirty Days", frequency: 53.8 }
- { name: "Google", period: "Thirty Days", frequency: 50.2 }
- { name: "CrowdStrike", period: "Three Months", frequency: 100 }
- { name: "Deloitte", period: "Three Months", frequency: 100 }
- { name: "HashedIn", period: "Three Months", frequency: 100 }
- { name: "Smartsheet", period: "Three Months", frequency: 100 }
- { name: "Walmart Labs", period: "Three Months", frequency: 100 }
- { name: "Microsoft", period: "Three Months", frequency: 33.4 }
- { name: "Expedia", period: "Six Months", frequency: 100 }
- { name: "Wipro", period: "Six Months", frequency: 100 }
- { name: "Adobe", period: "Six Months", frequency: 93.7 }
- { name: "Zoho", period: "Six Months", frequency: 79.6 }
- { name: "Nvidia", period: "Six Months", frequency: 78.7 }
- { name: "Oracle", period: "Six Months", frequency: 78.7 }
- { name: "EPAM Systems", period: "Six Months", frequency: 76.2 }
- { name: "Palo Alto Networks", period: "Six Months", frequency: 75.9 }
- { name: "Visa", period: "Six Months", frequency: 69.7 }
- { name: "Infosys", period: "Six Months", frequency: 67.9 }
- { name: "Goldman Sachs", period: "Six Months", frequency: 53.1 }
sidebar:
label: 'Group Anagrams'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/monotonic-stack/496_next-greater-element-i.mdx
+7
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@@ -8,6 +8,13 @@ topics:
- { name: "Stack", slug: "stack" }
- { name: "Monotonic Stack", slug: "monotonic-stack" }
issue: "https://github.com/prdlk/leetcode/issues/74"
companies:
- { name: "Google", period: "Thirty Days", frequency: 46.6 }
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Bloomberg", period: "Three Months", frequency: 59.7 }
- { name: "Meta", period: "Three Months", frequency: 43.3 }
- { name: "Microsoft", period: "Three Months", frequency: 33.4 }
- { name: "tcs", period: "Six Months", frequency: 43.5 }
sidebar:
label: 'Next Greater Element I'
badge: 'Easy'
apps/docs/content/(01-linear-structures)/monotonic-stack/739_daily-temperatures.mdx
+10
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@@ -8,6 +8,16 @@ topics:
- { name: "Monotonic Stack", slug: "monotonic-stack" }
video: "cTBiBSnjO3c"
issue: "https://github.com/prdlk/leetcode/issues/72"
companies:
- { name: "Google", period: "Thirty Days", frequency: 29 }
- { name: "Chime", period: "Three Months", frequency: 100 }
- { name: "Bloomberg", period: "Three Months", frequency: 59.7 }
- { name: "Amazon", period: "Three Months", frequency: 42.8 }
- { name: "Meta", period: "Three Months", frequency: 34.5 }
- { name: "Anduril", period: "Six Months", frequency: 92.8 }
- { name: "Goldman Sachs", period: "Six Months", frequency: 44.8 }
- { name: "tcs", period: "Six Months", frequency: 43.5 }
- { name: "Microsoft", period: "Six Months", frequency: 42.5 }
sidebar:
label: 'Daily Temperatures'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/monotonic-stack/84_largest-rectangle-in-histogram.mdx
+8
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@@ -8,6 +8,14 @@ topics:
- { name: "Monotonic Stack", slug: "monotonic-stack" }
- { name: "Range Minimum/Maximum Query", slug: "range-minimum-maximum-query" }
issue: "https://github.com/prdlk/leetcode/issues/76"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Google", period: "Thirty Days", frequency: 29 }
- { name: "Accenture", period: "Three Months", frequency: 88.6 }
- { name: "tcs", period: "Three Months", frequency: 73.7 }
- { name: "Microsoft", period: "Three Months", frequency: 42.1 }
- { name: "Bloomberg", period: "Three Months", frequency: 36.8 }
- { name: "Meta", period: "Three Months", frequency: 34.5 }
sidebar:
label: 'Largest Rectangle in Histogram'
badge: 'Hard'
apps/docs/content/(01-linear-structures)/monotonic-stack/853_car-fleet.mdx
+3
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@@ -9,6 +9,9 @@ topics:
- { name: "Monotonic Stack", slug: "monotonic-stack" }
video: "Pr6T-3yB9RM"
issue: "https://github.com/prdlk/leetcode/issues/73"
companies:
- { name: "Google", period: "Three Months", frequency: 17.3 }
- { name: "Amazon", period: "Six Months", frequency: 26 }
sidebar:
label: 'Car Fleet'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/monotonic-stack/901_online-stock-span.mdx
+5
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@@ -8,6 +8,11 @@ topics:
- { name: "Monotonic Stack", slug: "monotonic-stack" }
- { name: "Data Stream", slug: "data-stream" }
issue: "https://github.com/prdlk/leetcode/issues/75"
companies:
- { name: "Meta", period: "Three Months", frequency: 34.5 }
- { name: "Google", period: "Three Months", frequency: 17.3 }
- { name: "Amazon", period: "Six Months", frequency: 26 }
- { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
sidebar:
label: 'Online Stock Span'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/prefix-sum/238_product-of-array-except-self.mdx
+8
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@@ -7,6 +7,14 @@ topics:
- { name: "Prefix Sum", slug: "prefix-sum" }
video: "bNvIQI2wAjk"
issue: "https://github.com/prdlk/leetcode/issues/37"
companies:
- { name: "Meta", period: "Thirty Days", frequency: 70.8 }
- { name: "Amazon", period: "Thirty Days", frequency: 61.3 }
- { name: "Microsoft", period: "Thirty Days", frequency: 57.2 }
- { name: "Google", period: "Thirty Days", frequency: 42.3 }
- { name: "Bloomberg", period: "Three Months", frequency: 59.7 }
- { name: "Asana", period: "Six Months", frequency: 100 }
- { name: "tcs", period: "Six Months", frequency: 43.5 }
sidebar:
label: 'Product of Array Except Self'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/prefix-sum/303_range-sum-query-immutable.mdx
+5
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@@ -8,6 +8,11 @@ topics:
- { name: "Prefix Sum", slug: "prefix-sum" }
video: "2pndAmo_sMA"
issue: "https://github.com/prdlk/leetcode/issues/36"
companies:
- { name: "Google", period: "Thirty Days", frequency: 42.3 }
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Meta", period: "Six Months", frequency: 24.5 }
- { name: "Microsoft", period: "Six Months", frequency: 24.1 }
sidebar:
label: 'Range Sum Query - Immutable'
badge: 'Easy'
apps/docs/content/(01-linear-structures)/prefix-sum/525_contiguous-array.mdx
+8
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@@ -7,6 +7,14 @@ topics:
- { name: "Hash Table", slug: "hash-table" }
- { name: "Prefix Sum", slug: "prefix-sum" }
issue: "https://github.com/prdlk/leetcode/issues/39"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Cisco", period: "Three Months", frequency: 100 }
- { name: "Meta", period: "Three Months", frequency: 49.8 }
- { name: "Google", period: "Three Months", frequency: 17.3 }
- { name: "Akamai", period: "Six Months", frequency: 100 }
- { name: "Bloomberg", period: "Six Months", frequency: 40.6 }
- { name: "Microsoft", period: "Six Months", frequency: 32 }
sidebar:
label: 'Contiguous Array'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/prefix-sum/560_subarray-sum-equals-k.mdx
+15
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@@ -8,6 +8,21 @@ topics:
- { name: "Prefix Sum", slug: "prefix-sum" }
video: "fFVZt-6sgyo"
issue: "https://github.com/prdlk/leetcode/issues/38"
companies:
- { name: "Meta", period: "Thirty Days", frequency: 63.8 }
- { name: "Google", period: "Thirty Days", frequency: 50.2 }
- { name: "Visa", period: "Three Months", frequency: 80.9 }
- { name: "Bloomberg", period: "Three Months", frequency: 74.8 }
- { name: "Salesforce", period: "Three Months", frequency: 64.7 }
- { name: "Amazon", period: "Three Months", frequency: 57.1 }
- { name: "Microsoft", period: "Three Months", frequency: 48.3 }
- { name: "Accenture", period: "Six Months", frequency: 100 }
- { name: "IBM", period: "Six Months", frequency: 94.5 }
- { name: "Infosys", period: "Six Months", frequency: 76.3 }
- { name: "Apple", period: "Six Months", frequency: 74.7 }
- { name: "josh technology", period: "Six Months", frequency: 74 }
- { name: "Walmart Labs", period: "Six Months", frequency: 70.5 }
- { name: "Yandex", period: "Six Months", frequency: 69.2 }
sidebar:
label: 'Subarray Sum Equals K'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/prefix-sum/974_subarray-sums-divisible-by-k.mdx
+6
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@@ -7,6 +7,12 @@ topics:
- { name: "Hash Table", slug: "hash-table" }
- { name: "Prefix Sum", slug: "prefix-sum" }
issue: "https://github.com/prdlk/leetcode/issues/40"
companies:
- { name: "Meta", period: "Thirty Days", frequency: 53.8 }
- { name: "Google", period: "Thirty Days", frequency: 29 }
- { name: "TikTok", period: "Three Months", frequency: 70.9 }
- { name: "Amazon", period: "Three Months", frequency: 21.2 }
- { name: "Microsoft", period: "Six Months", frequency: 24.1 }
sidebar:
label: 'Subarray Sums Divisible by K'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/sliding-window/1004_max-consecutive-ones-iii.mdx
+11
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@@ -8,6 +8,17 @@ topics:
- { name: "Sliding Window", slug: "sliding-window" }
- { name: "Prefix Sum", slug: "prefix-sum" }
issue: "https://github.com/prdlk/leetcode/issues/56"
companies:
- { name: "EPAM Systems", period: "Thirty Days", frequency: 89.8 }
- { name: "Meta", period: "Thirty Days", frequency: 53.8 }
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Tekion", period: "Three Months", frequency: 100 }
- { name: "DE Shaw", period: "Three Months", frequency: 80.2 }
- { name: "Google", period: "Three Months", frequency: 38.7 }
- { name: "Infosys", period: "Six Months", frequency: 67.9 }
- { name: "Yandex", period: "Six Months", frequency: 59.6 }
- { name: "LinkedIn", period: "Six Months", frequency: 54.1 }
- { name: "Microsoft", period: "Six Months", frequency: 42.5 }
sidebar:
label: 'Max Consecutive Ones III'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/sliding-window/121_best-time-to-buy-and-sell-stock.mdx
+20
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@@ -7,6 +7,26 @@ topics:
- { name: "Dynamic Programming", slug: "dynamic-programming" }
video: "1pkOgXD63yU"
issue: "https://github.com/prdlk/leetcode/issues/50"
companies:
- { name: "Bloomberg", period: "Thirty Days", frequency: 83.1 }
- { name: "Infosys", period: "Thirty Days", frequency: 80.2 }
- { name: "Amazon", period: "Thirty Days", frequency: 69.6 }
- { name: "Ola Cabs", period: "Thirty Days", frequency: 65.6 }
- { name: "Google", period: "Thirty Days", frequency: 65.3 }
- { name: "tcs", period: "Thirty Days", frequency: 58.2 }
- { name: "Atlassian", period: "Three Months", frequency: 100 }
- { name: "Media.net", period: "Three Months", frequency: 100 }
- { name: "Nvidia", period: "Three Months", frequency: 87.7 }
- { name: "Meta", period: "Three Months", frequency: 70.4 }
- { name: "Apple", period: "Three Months", frequency: 69 }
- { name: "Microsoft", period: "Three Months", frequency: 60.5 }
- { name: "Mastercard", period: "Six Months", frequency: 79 }
- { name: "Accenture", period: "Six Months", frequency: 75 }
- { name: "Adobe", period: "Six Months", frequency: 74.3 }
- { name: "Walmart Labs", period: "Six Months", frequency: 70.5 }
- { name: "IBM", period: "Six Months", frequency: 70.1 }
- { name: "TikTok", period: "Six Months", frequency: 55.2 }
- { name: "Goldman Sachs", period: "Six Months", frequency: 53.1 }
sidebar:
label: 'Best Time to Buy and Sell Stock'
badge: 'Easy'
apps/docs/content/(01-linear-structures)/sliding-window/209_minimum-size-subarray-sum.mdx
+6
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@@ -8,6 +8,12 @@ topics:
- { name: "Sliding Window", slug: "sliding-window" }
- { name: "Prefix Sum", slug: "prefix-sum" }
issue: "https://github.com/prdlk/leetcode/issues/54"
companies:
- { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
- { name: "Meta", period: "Thirty Days", frequency: 53.8 }
- { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
- { name: "Google", period: "Three Months", frequency: 45 }
- { name: "Amazon", period: "Three Months", frequency: 28.9 }
sidebar:
label: 'Minimum Size Subarray Sum'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/sliding-window/3_longest-substring-without-repeating-characters.mdx
+29
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@@ -8,6 +8,35 @@ topics:
- { name: "Sliding Window", slug: "sliding-window" }
video: "wiGpQwVHdE0"
issue: "https://github.com/prdlk/leetcode/issues/51"
companies:
- { name: "Ola Cabs", period: "Thirty Days", frequency: 100 }
- { name: "Visa", period: "Thirty Days", frequency: 100 }
- { name: "Amazon", period: "Thirty Days", frequency: 84.9 }
- { name: "Microsoft", period: "Thirty Days", frequency: 75.6 }
- { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
- { name: "Meta", period: "Thirty Days", frequency: 63.8 }
- { name: "Google", period: "Thirty Days", frequency: 63.7 }
- { name: "tcs", period: "Thirty Days", frequency: 58.2 }
- { name: "Cognizant", period: "Three Months", frequency: 100 }
- { name: "Optum", period: "Three Months", frequency: 100 }
- { name: "Spotify", period: "Three Months", frequency: 100 }
- { name: "Deloitte", period: "Three Months", frequency: 89.1 }
- { name: "Infosys", period: "Three Months", frequency: 87.4 }
- { name: "Apple", period: "Three Months", frequency: 69 }
- { name: "Goldman Sachs", period: "Three Months", frequency: 66.3 }
- { name: "Media.net", period: "Six Months", frequency: 100 }
- { name: "Wipro", period: "Six Months", frequency: 100 }
- { name: "Wissen Technology", period: "Six Months", frequency: 100 }
- { name: "Zoho", period: "Six Months", frequency: 100 }
- { name: "Qualcomm", period: "Six Months", frequency: 92 }
- { name: "Turing", period: "Six Months", frequency: 89 }
- { name: "EPAM Systems", period: "Six Months", frequency: 86.7 }
- { name: "Netflix", period: "Six Months", frequency: 83.1 }
- { name: "Tesla", period: "Six Months", frequency: 80.9 }
- { name: "Yandex", period: "Six Months", frequency: 69.2 }
- { name: "Agoda", period: "Six Months", frequency: 65 }
- { name: "IBM", period: "Six Months", frequency: 60.1 }
- { name: "LinkedIn", period: "Six Months", frequency: 54.1 }
sidebar:
label: 'Longest Substring Without Repeating Characters'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/sliding-window/424_longest-repeating-character-replacement.mdx
+9
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@@ -8,6 +8,15 @@ topics:
- { name: "Sliding Window", slug: "sliding-window" }
video: "gqXU1UyA8pk"
issue: "https://github.com/prdlk/leetcode/issues/52"
companies:
- { name: "Zoho", period: "Thirty Days", frequency: 100 }
- { name: "Google", period: "Thirty Days", frequency: 46.6 }
- { name: "DE Shaw", period: "Three Months", frequency: 91.8 }
- { name: "Infosys", period: "Three Months", frequency: 66 }
- { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
- { name: "Microsoft", period: "Three Months", frequency: 42.1 }
- { name: "Amazon", period: "Three Months", frequency: 34.6 }
- { name: "Meta", period: "Six Months", frequency: 32.7 }
sidebar:
label: 'Longest Repeating Character Replacement'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/sliding-window/567_permutation-in-string.mdx
+8
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@@ -9,6 +9,14 @@ topics:
- { name: "Sliding Window", slug: "sliding-window" }
video: "UbyhOgBN834"
issue: "https://github.com/prdlk/leetcode/issues/53"
companies:
- { name: "Meta", period: "Thirty Days", frequency: 63.8 }
- { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
- { name: "tcs", period: "Three Months", frequency: 47.7 }
- { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
- { name: "Microsoft", period: "Three Months", frequency: 33.4 }
- { name: "Google", period: "Three Months", frequency: 17.3 }
- { name: "Apple", period: "Six Months", frequency: 48.1 }
sidebar:
label: 'Permutation in String'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/sliding-window/643_maximum-average-subarray-i.mdx
+7
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@@ -6,6 +6,13 @@ topics:
- { name: "Array", slug: "array" }
- { name: "Sliding Window", slug: "sliding-window" }
issue: "https://github.com/prdlk/leetcode/issues/55"
companies:
- { name: "Bloomberg", period: "Thirty Days", frequency: 83.1 }
- { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
- { name: "Amazon", period: "Thirty Days", frequency: 55.9 }
- { name: "Google", period: "Thirty Days", frequency: 36.7 }
- { name: "tcs", period: "Three Months", frequency: 57.2 }
- { name: "Meta", period: "Six Months", frequency: 32.7 }
sidebar:
label: 'Maximum Average Subarray I'
badge: 'Easy'
apps/docs/content/(01-linear-structures)/sliding-window/76_minimum-window-substring.mdx
+9
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@@ -7,6 +7,15 @@ topics:
- { name: "String", slug: "string" }
- { name: "Sliding Window", slug: "sliding-window" }
issue: "https://github.com/prdlk/leetcode/issues/57"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 55.9 }
- { name: "Lyft", period: "Three Months", frequency: 93.3 }
- { name: "Microsoft", period: "Three Months", frequency: 48.3 }
- { name: "Meta", period: "Three Months", frequency: 34.5 }
- { name: "Google", period: "Three Months", frequency: 23.9 }
- { name: "Oracle", period: "Six Months", frequency: 78.7 }
- { name: "Goldman Sachs", period: "Six Months", frequency: 44.8 }
- { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
sidebar:
label: 'Minimum Window Substring'
badge: 'Hard'
apps/docs/content/(01-linear-structures)/stack/150_evaluate-reverse-polish-notation.mdx
+6
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@@ -8,6 +8,12 @@ topics:
- { name: "Stack", slug: "stack" }
video: "iu0082c4HDE"
issue: "https://github.com/prdlk/leetcode/issues/69"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Google", period: "Three Months", frequency: 17.3 }
- { name: "Yandex", period: "Six Months", frequency: 59.6 }
- { name: "Meta", period: "Six Months", frequency: 38.7 }
- { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
sidebar:
label: 'Evaluate Reverse Polish Notation'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/stack/155_min-stack.mdx
+9
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@@ -7,6 +7,15 @@ topics:
- { name: "Design", slug: "design" }
video: "qkLl7nAwDPo"
issue: "https://github.com/prdlk/leetcode/issues/68"
companies:
- { name: "Microsoft", period: "Three Months", frequency: 42.1 }
- { name: "Meta", period: "Three Months", frequency: 34.5 }
- { name: "Amazon", period: "Three Months", frequency: 28.9 }
- { name: "Google", period: "Three Months", frequency: 28.8 }
- { name: "Odoo", period: "Six Months", frequency: 100 }
- { name: "UiPath", period: "Six Months", frequency: 100 }
- { name: "Infosys", period: "Six Months", frequency: 67.9 }
- { name: "Bloomberg", period: "Six Months", frequency: 45.6 }
sidebar:
label: 'Min Stack'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/stack/20_valid-parentheses.mdx
+18
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@@ -8,6 +8,24 @@ topics:
- { name: "Bracket Sequences", slug: "bracket-sequences" }
video: "WTzjTskDFMg"
issue: "https://github.com/prdlk/leetcode/issues/67"
companies:
- { name: "BlackRock", period: "Thirty Days", frequency: 100 }
- { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
- { name: "Amazon", period: "Thirty Days", frequency: 61.3 }
- { name: "Google", period: "Thirty Days", frequency: 42.3 }
- { name: "Accolite", period: "Three Months", frequency: 100 }
- { name: "Intuit", period: "Three Months", frequency: 73.2 }
- { name: "Bloomberg", period: "Three Months", frequency: 68.3 }
- { name: "Meta", period: "Three Months", frequency: 65.3 }
- { name: "tcs", period: "Three Months", frequency: 57.2 }
- { name: "Autodesk", period: "Six Months", frequency: 100 }
- { name: "Criteo", period: "Six Months", frequency: 100 }
- { name: "Odoo", period: "Six Months", frequency: 100 }
- { name: "Tripadvisor", period: "Six Months", frequency: 100 }
- { name: "Virtu Financial", period: "Six Months", frequency: 100 }
- { name: "IBM", period: "Six Months", frequency: 91.1 }
- { name: "Epic Systems", period: "Six Months", frequency: 89.6 }
- { name: "LinkedIn", period: "Six Months", frequency: 85.6 }
sidebar:
label: 'Valid Parentheses'
badge: 'Easy'
apps/docs/content/(01-linear-structures)/stack/224_basic-calculator.mdx
+6
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@@ -8,6 +8,12 @@ topics:
- { name: "Stack", slug: "stack" }
- { name: "Recursion", slug: "recursion" }
issue: "https://github.com/prdlk/leetcode/issues/71"
companies:
- { name: "Bloomberg", period: "Three Months", frequency: 54 }
- { name: "Microsoft", period: "Three Months", frequency: 42.1 }
- { name: "Amazon", period: "Three Months", frequency: 28.9 }
- { name: "Google", period: "Three Months", frequency: 23.9 }
- { name: "Meta", period: "Six Months", frequency: 24.5 }
sidebar:
label: 'Basic Calculator'
badge: 'Hard'
apps/docs/content/(01-linear-structures)/stack/71_simplify-path.mdx
+7
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@@ -6,6 +6,13 @@ topics:
- { name: "String", slug: "string" }
- { name: "Stack", slug: "stack" }
issue: "https://github.com/prdlk/leetcode/issues/70"
companies:
- { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
- { name: "Google", period: "Three Months", frequency: 28.8 }
- { name: "Amazon", period: "Three Months", frequency: 21.2 }
- { name: "Snowflake", period: "Six Months", frequency: 58.7 }
- { name: "Meta", period: "Six Months", frequency: 50.6 }
- { name: "Microsoft", period: "Six Months", frequency: 24.1 }
sidebar:
label: 'Simplify Path'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/two-pointers/11_container-with-most-water.mdx
+12
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@@ -8,6 +8,18 @@ topics:
- { name: "Greedy", slug: "greedy" }
video: "UuiTKBwPgAo"
issue: "https://github.com/prdlk/leetcode/issues/44"
companies:
- { name: "Bloomberg", period: "Thirty Days", frequency: 83.1 }
- { name: "Amazon", period: "Thirty Days", frequency: 75.8 }
- { name: "Infosys", period: "Thirty Days", frequency: 68.6 }
- { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
- { name: "tcs", period: "Thirty Days", frequency: 67.6 }
- { name: "Ola Cabs", period: "Thirty Days", frequency: 65.6 }
- { name: "Google", period: "Thirty Days", frequency: 62 }
- { name: "Meta", period: "Thirty Days", frequency: 53.8 }
- { name: "Goldman Sachs", period: "Three Months", frequency: 57 }
- { name: "Walmart Labs", period: "Six Months", frequency: 70.5 }
- { name: "IBM", period: "Six Months", frequency: 60.1 }
sidebar:
label: 'Container With Most Water'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/two-pointers/125_valid-palindrome.mdx
+12
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@@ -7,6 +7,18 @@ topics:
- { name: "String", slug: "string" }
video: "jJXJ16kPFWg"
issue: "https://github.com/prdlk/leetcode/issues/41"
companies:
- { name: "tcs", period: "Thirty Days", frequency: 58.2 }
- { name: "Meta", period: "Thirty Days", frequency: 53.8 }
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Google", period: "Thirty Days", frequency: 29 }
- { name: "Bloomberg", period: "Three Months", frequency: 79.9 }
- { name: "Infosys", period: "Three Months", frequency: 66 }
- { name: "Microsoft", period: "Three Months", frequency: 42.1 }
- { name: "Deloitte", period: "Six Months", frequency: 81 }
- { name: "Cognizant", period: "Six Months", frequency: 76.3 }
- { name: "Axon", period: "Six Months", frequency: 75.4 }
- { name: "Apple", period: "Six Months", frequency: 64.8 }
sidebar:
label: 'Valid Palindrome'
badge: 'Easy'
apps/docs/content/(01-linear-structures)/two-pointers/15_3sum.mdx
+16
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@@ -8,6 +8,22 @@ topics:
- { name: "Sorting", slug: "sorting" }
video: "jzZsG8n2R9A"
issue: "https://github.com/prdlk/leetcode/issues/43"
companies:
- { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
- { name: "Amazon", period: "Thirty Days", frequency: 69.6 }
- { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
- { name: "Google", period: "Thirty Days", frequency: 66.8 }
- { name: "Ola Cabs", period: "Thirty Days", frequency: 65.6 }
- { name: "Meta", period: "Thirty Days", frequency: 63.8 }
- { name: "Apple", period: "Three Months", frequency: 80.4 }
- { name: "Infosys", period: "Three Months", frequency: 66 }
- { name: "tcs", period: "Three Months", frequency: 57.2 }
- { name: "Cisco", period: "Six Months", frequency: 100 }
- { name: "Wissen Technology", period: "Six Months", frequency: 100 }
- { name: "eBay", period: "Six Months", frequency: 75.2 }
- { name: "Accenture", period: "Six Months", frequency: 75 }
- { name: "Visa", period: "Six Months", frequency: 69.7 }
- { name: "Goldman Sachs", period: "Six Months", frequency: 53.1 }
sidebar:
label: '3Sum'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/two-pointers/167_two-sum-ii-input-array-is-sorted.mdx
+8
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@@ -8,6 +8,14 @@ topics:
- { name: "Binary Search", slug: "binary-search" }
video: "cQ1Oz4ckceM"
issue: "https://github.com/prdlk/leetcode/issues/42"
companies:
- { name: "Amazon", period: "Thirty Days", frequency: 65.8 }
- { name: "Google", period: "Thirty Days", frequency: 46.6 }
- { name: "tcs", period: "Three Months", frequency: 57.2 }
- { name: "Meta", period: "Three Months", frequency: 54.8 }
- { name: "Microsoft", period: "Three Months", frequency: 33.4 }
- { name: "Oracle", period: "Six Months", frequency: 78.7 }
- { name: "Bloomberg", period: "Six Months", frequency: 40.6 }
sidebar:
label: 'Two Sum II - Input Array Is Sorted'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/two-pointers/189_rotate-array.mdx
+11
View File
@@ -7,6 +7,17 @@ topics:
- { name: "Math", slug: "math" }
- { name: "Two Pointers", slug: "two-pointers" }
issue: "https://github.com/prdlk/leetcode/issues/47"
companies:
- { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
- { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
- { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
- { name: "Google", period: "Thirty Days", frequency: 46.6 }
- { name: "Infosys", period: "Three Months", frequency: 66 }
- { name: "tcs", period: "Three Months", frequency: 57.2 }
- { name: "Meta", period: "Three Months", frequency: 54.8 }
- { name: "Box", period: "Six Months", frequency: 100 }
- { name: "TikTok", period: "Six Months", frequency: 55.2 }
- { name: "Apple", period: "Six Months", frequency: 48.1 }
sidebar:
label: 'Rotate Array'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/two-pointers/344_reverse-string.mdx
+8
View File
@@ -6,6 +6,14 @@ topics:
- { name: "Two Pointers", slug: "two-pointers" }
- { name: "String", slug: "string" }
video: "_d0T_2Lk2qA"
companies:
- { name: "tcs", period: "Thirty Days", frequency: 58.2 }
- { name: "Google", period: "Thirty Days", frequency: 50.2 }
- { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
- { name: "Microsoft", period: "Three Months", frequency: 48.3 }
- { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
- { name: "Meta", period: "Three Months", frequency: 34.5 }
- { name: "Qualcomm", period: "Six Months", frequency: 80.7 }
sidebar:
label: 'Reverse String'
badge: 'Easy'
apps/docs/content/(01-linear-structures)/two-pointers/392_is-subsequence.mdx
+6
View File
@@ -8,6 +8,12 @@ topics:
- { name: "Dynamic Programming", slug: "dynamic-programming" }
video: "99RVfqklbCE"
issue: "https://github.com/prdlk/leetcode/issues/45"
companies:
- { name: "Amazon", period: "Three Months", frequency: 34.6 }
- { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
- { name: "Google", period: "Six Months", frequency: 25.4 }
- { name: "Meta", period: "Six Months", frequency: 24.5 }
- { name: "Microsoft", period: "Six Months", frequency: 24.1 }
sidebar:
label: 'Is Subsequence'
badge: 'Easy'
apps/docs/content/(01-linear-structures)/two-pointers/42_trapping-rain-water.mdx
+14
View File
@@ -9,6 +9,20 @@ topics:
- { name: "Stack", slug: "stack" }
- { name: "Monotonic Stack", slug: "monotonic-stack" }
issue: "https://github.com/prdlk/leetcode/issues/211"
companies:
- { name: "Ola Cabs", period: "Thirty Days", frequency: 90.7 }
- { name: "Amazon", period: "Thirty Days", frequency: 80.7 }
- { name: "Goldman Sachs", period: "Thirty Days", frequency: 71.7 }
- { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
- { name: "Infosys", period: "Thirty Days", frequency: 68.6 }
- { name: "Google", period: "Thirty Days", frequency: 63.7 }
- { name: "Snowflake", period: "Three Months", frequency: 90.3 }
- { name: "Meta", period: "Three Months", frequency: 58.9 }
- { name: "Microsoft", period: "Three Months", frequency: 57.2 }
- { name: "tcs", period: "Three Months", frequency: 47.7 }
- { name: "Docusign", period: "Six Months", frequency: 100 }
- { name: "Qualcomm", period: "Six Months", frequency: 80.7 }
- { name: "Nvidia", period: "Six Months", frequency: 78.7 }
sidebar:
label: 'Trapping Rain Water'
badge: 'Hard'
apps/docs/content/(01-linear-structures)/two-pointers/80_remove-duplicates-from-sorted-array-ii.mdx
+4
View File
@@ -6,6 +6,10 @@ topics:
- { name: "Array", slug: "array" }
- { name: "Two Pointers", slug: "two-pointers" }
issue: "https://github.com/prdlk/leetcode/issues/48"
companies:
- { name: "Google", period: "Thirty Days", frequency: 29 }
- { name: "Amazon", period: "Three Months", frequency: 34.6 }
- { name: "Meta", period: "Six Months", frequency: 32.7 }
sidebar:
label: 'Remove Duplicates from Sorted Array II'
badge: 'Medium'
apps/docs/content/(01-linear-structures)/two-pointers/977_squares-of-a-sorted-array.mdx
+9
View File
@@ -8,6 +8,15 @@ topics:
- { name: "Sorting", slug: "sorting" }
video: "FPCZsG_AkUg"
issue: "https://github.com/prdlk/leetcode/issues/46"
companies:
- { name: "Google", period: "Thirty Days", frequency: 42.3 }
- { name: "Instacart", period: "Three Months", frequency: 100 }
- { name: "Uber", period: "Three Months", frequency: 80 }
- { name: "Bloomberg", period: "Three Months", frequency: 54 }
- { name: "Meta", period: "Three Months", frequency: 49.8 }
- { name: "Amazon", period: "Three Months", frequency: 46 }
- { name: "tcs", period: "Six Months", frequency: 60 }
- { name: "Yandex", period: "Six Months", frequency: 59.6 }
sidebar:
label: 'Squares of a Sorted Array'
badge: 'Easy'