Al-Mukhbir’s Post

Cracking the Code: How to Classify into Separate Groups NYT Crossword Clue https://lnkd.in/daxC2Sqg #NYTCrossword #CrosswordPuzzle #PuzzleMastery #CrosswordTips #Wordplay #CrosswordClues #CrypticCrosswords #PuzzlePatterns #ThemedPuzzles #CrosswordStrategies #AnagramSolver

You grasp the concept of any framework you are learning by building with it. Don't just watch tutorial alone to learn how to use any language framwork because obviously the tutorial won't teach you everything, you will understand how to do some little things with it but you won't actually know how to use it unless you are building something with the framework without following tutorial. Because when you build with it, you get to do researches more on how you can achieve a single or particular thing with the framework.

Ever downloaded a game that looked simple but turned out to be way harder than you expected? 😅 A few days ago, I came across a word guessing game 🔠 where you have to figure out a 5-letter word with only a few tries. It seemed like a fun challenge, so I gave it a shot. But after a few rounds of struggling and still not finding the right word. Then I did what anyone would do in 2024, I asked ChatGPT 😃. Chatgpt gave me some random words that didn’t follow the rule I mentioned. Then I thought, "Why not build something to crack it myself?" 💡 So, I decided to create my own word guesser. I wanted it to be smart, intuitive, easy to use and, most importantly, very simple to create. With the help of Chatgpt, I made the app in Streamlit so that it could be accessed anywhere. It's built with Python having words from PyDictionary and the english_words python library. It can solve words with a length of up to 28 characters and with the help of excluded letters features, it makes guessing words a lot faster. I have also used PyDictionary to show the word meanings, antonyms, and translations for the word in several languages. It’s been an awesome journey, from battling tough word puzzles then using a small code in Jupyter Notebook that developed into a web application. What started as frustration ended up becoming a cool side project. If you’re curious to see how it works feel free to check it out here: https://lnkd.in/gnHnTVcc #Python #Streamlit #ProblemSolving #Game #Data_analytics

This is the first blog post I've written in English. I'll continue writing articles in English 💪 How testing Package in Go Ensures Completion of All Subtests Before Executing Post-Processing https://lnkd.in/d8NmGdbE

Hugging Face is writing about large language model (LLM) evaluation on GitHub - great resource: https://lnkd.in/emXEPRD4. #github #huggingface #largelanguagemodel #artificialintelligence #evaluation

GPT-4o and I confirmed a potential new English word: Revort (lol) verb or noun re·vort | \ ri-ˈvȯrt \ : to both revert to a previous state or version and simultaneously report or document the action (useful if you're working with version control).

Subtle signs that might indicate an article has been AI-generated with minimal human input: - Headings and subheadings in title case with colons (eg Every Sign Needs a Colon: Here's Why) - Bullet list items in title case (eg Context is King: Consider the overall purpose and audience of the content.) - Cheesy alliteration to describe list items, eg Comma Conundrums, Word Choice Wizardry - Flowery language - Specific code in the HTML (stuff like <p data-sourcepos="1:1-1:82"> - American English and Oxford commas in non-US content Have you got any others?

Cathoven Chrome Extension is LIVE! 🚀 Score any text's CEFR Level, Catile Level, customize it to your preferences, and effortlessly create quizzes and reading texts on any topic now ! https://lnkd.in/geue7Yxt #esl #language #languageai #cathoven #teachingandlearning #chromeextension #googlechrome

Today, I tackled a medium-level challenge: Valid Anagram. 🚀 Anagrams are like intricate puzzles—words or phrases formed by rearranging the letters of a different word or phrase, using each letter exactly once. For instance: Pattern: “listen” Anagram: “silent” 💡 Here’s an approach to solve this problem: 💡 1. Frequency Count: I meticulously counted the occurrences of each character in both strings. Using an array of size 26 (representing the English alphabet), I tracked the frequency of each letter. 2. Comparison: For every index i from 0 to 25, I compared the character frequencies in s and t. If they differed, I knew the strings couldn’t be anagrams. 3. Verdict: If all character frequencies matched, I confidently declared them anagrams. Otherwise, I exposed their linguistic masquerade. 🎭 https://lnkd.in/dQrvQBMN #hardchallange #interviewsuccess #codingadventures #advancedpractice #leetcodesolutions #coding #interview #challenge #softwareengineering #interviewpreparation #interviewquestions #leetcodechallenge #leetcode #codingskills #hardworkpaysoffs #programmingskills #pythoncommunity #datastructuresandalgorithms #python3 #competitiveprogramming #leetcodesolution #codinginterview #softwaredeveloper #codingpractices #solvingproblems #dsacoding #interviewpractice #codingchallenges #connections

Do you want to convert OBJECTID to English Alphabet ? Eg OBJECTID = 10 to "Ten" ? or 21 --> "Twenty-One" ? , then use this code https://lnkd.in/e-gpBycF