Grit的动态

The best way to predict the future is to create it! ?? This blog post gives you a high-level introduction to why we chose Rust to build the future of databases. ???? https://lnkd.in/g4PCM3eM If you want more detailed content about how we are using Rust, let us know in the comments!?? #SurrealDB #rust #rustprogramming #rustcommunity #developercommunity

if you are working with Pandas then this cheat sheet will help you ?? follow me for more cheat sheets, free resources, tech news , guidelines & roadmap and many more

????????????????? ???? ???? ????????????????????! Thrilled to reach the Intermediate level in HackerRank's Problem Solving! Data structures, algorithms, complexity analysis - the grind was real!??But the reward is sweet.? Next stop: Problem-Solving Mastery!? #hackerrank #problemsolving #levelup #DSA #algoriths

Tech Synergy Coding Contest – Round 1 Complete! ?? I’ve just wrapped up Round 1 of the Tech Synergy Coding Contest hosted by @CipherSchools, and it was an exciting challenge! ?? The problems really made me think critically about applying my knowledge of Data Structures and Algorithms (DSA). This round tested my problem-solving speed and accuracy, and I’m feeling more confident as I keep pushing my limits. Here’s a quick insight into one of the problems I tackled: [Sorting k size subarray any number of times to make array sorted] Excited for the next round and ready to keep building on these skills! ??? #TechSynergy #CodeWithCipher #DSAJourney #ProblemSolving #CodingProgress #LinkedInLearning

The video for my PyCon US talk, "Times and dates in Pandas," is now up! If you deal with date/time data, then this talk will show you all sorts of ways to analyze such values using Pandas. Take a look:

How to craft bar charts that transform complex datasets into clear, actionable insights: Check out this week's Triggre Weekend Masterclass ?? #NoCode

?????? ???? ?????????? ?? ???????????????? ???????????????????? ?????????? ???????? ?????????????? ? https://lnkd.in/dqTHm6yS Do you know how to build a logistic regression model using nothing but math from scratch? Have a look at my Github Repo. #DataScience #MachineLearning #LogisticRegression

Day 53 of?#100DaysofLeetCode????? ?? Problem of the Day : Sum of Unique Elements GITHUB REPOSITORY LINK:?https://lnkd.in/gTQyg683 Today I had implemented an algorithm, Where it finely manages to sum all the unique elements in the array. #100DaysOfLeetCode?#ProblemSolving?#Algorithm

?? Day 65 of #100DaysOfDSA ?? Today, I tackled some exciting problems based on Binary Trees!?? 1. ???????????????? ???????????? ????????: I learned how to determine if a binary tree is balanced, which means that the height of the left and right subtrees of every node differs by at most one. 2. ???????????? ???????????? ???????????????? (??????) ???? ?? ???????????? ????????: I solved problems to find the LCA of two nodes in a binary tree, which is the node that is furthest from the root and is an ancestor of both nodes. 3. ???????? ??????: I practiced finding the sum of all paths from the root to the leaves of a binary tree, which involves using recursion and keeping track of the current sum. 4. ?????????????????? ???????????? ???????? ???????? ????-?????????? ?????? ??????-?????????? ??????????????????: I learned how to construct a binary tree from given in-order and pre-order traversal sequences, which requires using recursion and understanding the properties of these traversals. Feeling accomplished and excited to continue learning more about data structures and algorithms! ?? Share your favorite resources or tips for learning data structures in the comments! ?? Check out my GitHub repo for implementation details: Github.com/vanshu778/DSA #100DaysOfDSA #DataStructures #BinaryTrees #Learning #ProblemSolving #Algorithms #ComputerScience #Programming #Coding #SoftwareEngineering #Technology #Innovation

Microsoft is thrilled to announce the open-sourcing of GraphRAG, an end-to-end system for dynamically building LLM-powered knowledge graphs using large-scale private data. Watch the announcement video and python codebase below: For a one-click deploy to Azure check out the solution accelerator! #genai #graphrag #microsoft #azureopenai