diff --git a/.env.example b/.env.example index 79c241279..488ca9987 100644 --- a/.env.example +++ b/.env.example @@ -2,4 +2,4 @@ BASE_URL = ALGOLIA_API_KEY = ALGOLIA_APP_ID = GTM_ID = -GA_ID = \ No newline at end of file +GA_ID = \ No newline at end of file diff --git a/dsa-solutions/lc-solutions/0000-0099/0001-two-sum.md b/dsa-solutions/lc-solutions/0000-0099/0001-two-sum.md index 329388626..ede73b8ce 100644 --- a/dsa-solutions/lc-solutions/0000-0099/0001-two-sum.md +++ b/dsa-solutions/lc-solutions/0000-0099/0001-two-sum.md @@ -1,5 +1,5 @@ --- -id: 01-two-sum +id: two-sum title: Two Sum Solution sidebar_label: 0001 - Two Sum tags: @@ -578,7 +578,6 @@ The hash table approach is the most efficient and is recommended for large input ::: - ---

Authors:

diff --git a/dsa-solutions/lc-solutions/0000-0099/0002-Add-Two-Numbers.md b/dsa-solutions/lc-solutions/0000-0099/0002-Add-Two-Numbers.md index 9e5314750..b96799f7a 100644 --- a/dsa-solutions/lc-solutions/0000-0099/0002-Add-Two-Numbers.md +++ b/dsa-solutions/lc-solutions/0000-0099/0002-Add-Two-Numbers.md @@ -1,5 +1,5 @@ --- -id: 02-add-two-numbers +id: add-two-numbers title: Add Two Numbers Solution sidebar_label: 0002 - Add Two Numbers tags: diff --git a/dsa-solutions/lc-solutions/0000-0099/0003-Longest-Substring-Without-Repeating-Characters.md b/dsa-solutions/lc-solutions/0000-0099/0003-Longest-Substring-Without-Repeating-Characters.md index 63273c147..639f765da 100644 --- a/dsa-solutions/lc-solutions/0000-0099/0003-Longest-Substring-Without-Repeating-Characters.md +++ b/dsa-solutions/lc-solutions/0000-0099/0003-Longest-Substring-Without-Repeating-Characters.md @@ -1,5 +1,5 @@ --- -id: 03-longest-substrings-without-repeating-characters +id: longest-substrings-without-repeating-characters title: Longest Substring Without Repeating Characters (LeetCode) sidebar_label: 0003 - Longest Substring Without Repeating Characters tags: diff --git a/622-design-circular-queue.md b/dsa-solutions/lc-solutions/0600-0699/622-design-circular-queue.md similarity index 100% rename from 622-design-circular-queue.md rename to dsa-solutions/lc-solutions/0600-0699/622-design-circular-queue.md diff --git a/641-design-circular-deque.md b/dsa-solutions/lc-solutions/0600-0699/641-design-circular-deque.md similarity index 100% rename from 641-design-circular-deque.md rename to dsa-solutions/lc-solutions/0600-0699/641-design-circular-deque.md diff --git a/643-maximum-average-subarray-I.md b/dsa-solutions/lc-solutions/0600-0699/643-maximum-average-subarray-I.md similarity index 98% rename from 643-maximum-average-subarray-I.md rename to dsa-solutions/lc-solutions/0600-0699/643-maximum-average-subarray-I.md index bea8e6c76..ec51f0850 100644 --- a/643-maximum-average-subarray-I.md +++ b/dsa-solutions/lc-solutions/0600-0699/643-maximum-average-subarray-I.md @@ -49,7 +49,7 @@ The goal of this code is to find the maximum average value of any contiguous sub 1. **Initialization:** - Create a variable result to store the maximum average. -- Create a variable number and initialize it to the lowest possible double value using std::numeric_limits::lowest(). +- Create a variable number and initialize it to the lowest possible double value using `std::numeric_limits::lowest()`. - Create a variable temp to keep track of the current sum of the subarray of length k. - Create a variable n and set it equal to k. diff --git a/src/data/tweets.tsx b/src/data/tweets.tsx index 538bca650..ecc3e51af 100644 --- a/src/data/tweets.tsx +++ b/src/data/tweets.tsx @@ -29,8 +29,8 @@ const TWEETS: TweetItem[] = [ date: "May 28, 2024", content: ( <> - Can't believe how much I've learned from @CodeHarborHub in just a few - weeks. Their hands-on projects are amazing! #WebDevelopment + Can't believe how much I've learned from @CodeHarborHub in + just a few weeks. Their hands-on projects are amazing! #WebDevelopment #CodeHarborHub ), @@ -44,7 +44,9 @@ const TWEETS: TweetItem[] = [ date: "May 28, 2024", content: ( <> - Loving the data science courses on @CodeHarborHub. It's all free and ad-free. Perfect for anyone looking to upskill. #DataScience #FreeLearning + Loving the data science courses on @CodeHarborHub. It's all free + and ad-free. Perfect for anyone looking to upskill. #DataScience + #FreeLearning ), showOnHomepage: true, @@ -57,7 +59,9 @@ const TWEETS: TweetItem[] = [ date: "May 28, 2024", content: ( <> - Joined @CodeHarborHub last month and already feel more confident in my coding skills. Great community and resources! #TechCommunity #WomenInTech + Joined @CodeHarborHub last month and already feel more confident in my + coding skills. Great community and resources! #TechCommunity + #WomenInTech ), showOnHomepage: true, @@ -70,7 +74,9 @@ const TWEETS: TweetItem[] = [ date: "May 28, 2024", content: ( <> - Shoutout to @CodeHarborHub for providing such quality education for free! Their courses have been a game-changer for me. #TechSkills #CareerGrowth + Shoutout to @CodeHarborHub for providing such quality education for + free! Their courses have been a game-changer for me. #TechSkills + #CareerGrowth ), showOnHomepage: true, @@ -83,20 +89,38 @@ const TWEETS: TweetItem[] = [ date: "May 28, 2024", content: ( <> - Just finished the Python course on @CodeHarborHub. The explanations were clear and easy to follow. Ideal for beginners! #Python #CodeHarborHub + Just finished the Python course on @CodeHarborHub. The explanations were + clear and easy to follow. Ideal for beginners! #Python #CodeHarborHub ), showOnHomepage: true, githubUsername: "CodeMaster", }, { - url: "https://x.com/CodesWithAjay/status/1795486727077007869", + url: "/", + handle: "...", + name: "Samar Jeet Yadav", + date: "Jun 21, 2024", + content: ( + <> + I want to promote this type of amazing learning source. Because this is + totally open resource anyone can easily go on website and learn a lot + different types of course form zero to advance level... + + ), + showOnHomepage: true, + githubUsername: "", + }, + { + url: "/", handle: "AI_Enthusiast", name: "AI_Enthusiast", date: "May 28, 2024", content: ( <> - If you're looking to learn AI and machine learning, @CodeHarborHub is the place to be. Comprehensive and free! #MachineLearning #AI #CodeHarborHub + If you're looking to learn AI and machine learning, @CodeHarborHub + is the place to be. Comprehensive and free! #MachineLearning #AI + #CodeHarborHub ), showOnHomepage: true, diff --git a/src/database/sponsors/index.tsx b/src/database/sponsors/index.tsx index baab59f1f..9767c8265 100644 --- a/src/database/sponsors/index.tsx +++ b/src/database/sponsors/index.tsx @@ -34,6 +34,12 @@ const sponsors: Sponsor[] = [ github: "https://github.com/mrmohdarif", linkedin: "https://www.linkedin.com/in/mohd-arif-115b87231/", }, + { + name: "Samar Jeet Yadav", + image: "/sponsors/samar-jeet-yadav.jpg", + description: "...", + linkedin: "https://www.linkedin.com/in/samar-jeet-yadav-699224204/", + }, ]; export default sponsors; diff --git a/static/sponsors/samar-jeet-yadav.jpg b/static/sponsors/samar-jeet-yadav.jpg new file mode 100644 index 000000000..7ed1648f1 Binary files /dev/null and b/static/sponsors/samar-jeet-yadav.jpg differ