Trending Feed
12 posts loaded

Aggregate Functions in SQL #dataanalyst #datascientiest #sql #aggregations #count #average #aggregatefunctions #sqlinterview #softwareDeveloper #coder #coding #programmer #webdevelopment #programming

Aggregate Functions in SQL. Miku easy ga ardham aindhi anukuntunna mawa . Content nacchithe Mee friends tho share cheyyandi . . Follow @techy_miki for more stuff . . #reels #reelsinstagram #java #python #students #sql #developer #jobs #software #reelkarofeelkaro #softwarememes #hyderabad #madhapur #freshers #studentlife #techy_miki #tmk_sql2

Comment “Graph” to get the details This open-source tool runs 100% in your browser: GitNexus indexes your entire project into a structured knowledge graph—mapping dependencies, call chains, clusters, and execution flows—so nothing important gets missed (even by AI agents). Here’s how it works: → Paste a public GitHub repository URL (or upload a ZIP) → It parses the code using Tree-sitter (AST-based parsing, not regex hacks) → Extracts functions, classes, imports, and relationships → Builds an interactive graph visualization in the browser (D3. js) → Generates a call graph and dependency map across the project - Follow @techwith.ram for more such content

SQL Window Functions Explained! . window functions let you analyze data without grouping it. you can rank rows, calculate running totals, and compare values all while keeping every record visible. functions like ROW_NUMBER, RANK, LAG, and LEAD are game-changers for analytics. once you learn them, your sql goes from basic to powerful. . this is how analysts think in queries. . { sql window functions, sql analytics, data analysis, advanced sql, database queries } . #sql #datascience #sqltips #windowfunctions #intellipaat

🎯 SQL Cheatsheet – Everything You Need at a Glance Master SQL fundamentals with this clean and powerful SQL Cheatsheet 🚀 Perfect for beginners, developers, data analysts, and interview prep, this guide covers the most essential SQL concepts in one place. 🔹 Basic Commands – SELECT, INSERT, UPDATE, DELETE 🔹 Joins – INNER, LEFT, RIGHT, FULL 🔹 Filtering Data – WHERE, LIKE, BETWEEN, EXISTS 🔹 Aggregations – COUNT, SUM, AVG, GROUP BY, HAVING 🔹 Subqueries & CTEs – IN, ANY, ALL, WITH, RECURSIVE 🔹 Indexes & Views – Performance optimization made easy 🔹 Transactions – COMMIT, ROLLBACK, SAVEPOINT 📌 Save this for quick reference 📌 Share with someone learning SQL 📌 Follow for more developer cheatsheets & tips --- 🔑 Keywords SQL cheatsheet, SQL basics, SQL joins, SQL interview questions, SQL tutorial, database queries, SQL for beginners, data analytics SQL, backend development, relational databases --- 📢 Hashtags #SQL #SQLCheatSheet #Database #DataAnalytics #DataScience #BackendDevelopment #WebDevelopment #Programming #LearnSQL #Developer #Coding #Tech #softwareengineering

When input size grows, not all algorithms survive. Let’s break it down properly 👇 🟢 O(n log n) Divide the problem (log n levels) Process all elements at each level (n) Total work = n × log n Scales well. Used in Merge Sort, Heap Sort. Efficient for large datasets. 🟡 O(n²) Nested loops. Every element compares with every element. n × n operations. Works fine for small inputs. Becomes slow quickly. 🔴 O(2ⁿ) Each step doubles the work. Recursive branching → explosion. Even n = 20 = 1,048,576 operations. Not scalable. 💡 Real Lesson: Smart developers analyze complexity before writing code. Save this for interviews. #viralreels #viralvideos #reels #instagood #dsa

follow for a 10-part comprehensive series on all of these topics really excited about this - it’ll give me a chance to practice some of these concepts on my own as well (also hyped to share my agentic ideas/what i build) #agenticai #programmer #csmajor

Functions describe the world! 🌐😉👨💻 "Understanding functions is key to making sense of the chaos in modern mathematical research." - Thomas A. Garrity First of all, I want to rule out that we are talking about mathematical functions here. Within programming functions are different, as mathematical functions being deterministic and programming functions are not . Plus in programming we have also have methods (methods can be seen as functions associated with objects or classes). So to not make this too confusing, I am talking about mathematical functions. With that said, within programming, we must transcribe mathematical functions frequently as well. So, if you need to apply mathematical functions to your project. You need to understand how to transcribe it into code. Which is pretty challenging.. Here a few quick tips to help you. 🔺 Understand the Mathematical Function: Break the function into its key components (inputs, operations, and output). Ensure you understand the purpose of each element before coding. 🔺 Choose the Right Data Types: Identify appropriate data types in programming for each mathematical variable (e.g., integers, floats for real numbers, arrays for vectors). 🔺 Translate Operations Carefully: Ensure each mathematical operation (like addition, multiplication, or derivatives) is mapped to its corresponding operator or function. - - - - - ⚡ Hope you enjoyed this video. 🗣️ Thomas Garrity - On Mathematical Maturity Happy coding everyone! 👨💻 Follow me for more programming and game development content! 👨💻🎮 ~@justinbieshaar . . 🏷️ #programming #gamedev #programmer #mathematics #mathematician #calculator #calculus #math #maths #gamedeveloper #gamedevelopment #coding #coder #gameprogramming #csharp #java #javascript #cplusplus #python #frontend #backend #indiedev

Quick Look at Functions A lot of the complex behaviours around us can be approximated using functions. Functions are usually thought of as machines or black boxes that use a mathematical formula or some sort of pre-defined rulebook to turn an input into an output. If we were to think of calculus as a language, it wouldn't be a stretch to think of functions as the alphabet. Want to learn calculus from the ground up in Urdu? Subscribe to our channel @Tajassus_Maths on YT (LINK IN BIO). ------------------ Hamaray ird gird honay wali kayi pecheeda cheezon ko "functions" kay zariyay approximate kiya jaa sakta hai. Functions ko amooman aisi machines kay torr par introduce kiya jaata hai, jo ryaazi kay kisi formula ko istemaal kar kay eik input ko eik output mein tabdeel kartay hain. Agar ham calculus ko eik zubaan mantay hain, toh functions ko is zubaan kay haroof-e-tahajji samajhna ghalat nahin hoga. Calculus kay baaray mein mazeed jaanna chahtay hain? Hamaray youtube channel @Tajassus_Maths par calculus ki playlist dekhein (LINK IN BIO). #calculus #urdu #maths #physics #animated #explainer #time #space #functions #geometry #patterns #animation

162 : Unlocking the universe's secrets, one function at a time! 📈✨ Dive into the world of graphs and discover the beauty of math in motion. #MathMagic #Graphs #FunctionFun #STEM #LearnWithMe @dear_genius_321

Comment “Array” to get Top 50 Array DSA questions in your DM 🚀 This is Part 11 of C Programming Series. Array logic feels confusing until you understand how indexing and flow works. In this reel, I break it down in a simple way so you can solve questions with confidence. Follow for next part. Save for your practical exams array logic in c programming, array problems in c with solution, array interview questions in c, c array practice questions, array indexing in c, array traversal in c, logic building with arrays, c programming problem solving, array concepts in c, array patterns in c, array algorithms in c, c language array examples, learn c programming, how to do coding, learn arrays, free coding course #cprogramming #arrays #learntocode #howtocode #codingroadmap
Top Creators
Most active in #user-defined-aggregate-functions
Reels Graph Intelligence.
Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #user-defined-aggregate-functions ecosystem.
Strategic Implementation
Our semantic engine has identified these specific pattern clusters as high-affinity matches for #user-defined-aggregate-functions. Integrated usage of #user-defined-aggregate-functions with strategic Reels tags like #users and #define is statistically linked to a significant increase in initial Reels discovery velocity.
In-Depth Hashtag Analysis: #user-defined-aggregate-functions
Expert Review • June 4, 2026 • Based on 12 Reels
Executive Overview
#user-defined-aggregate-functions is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 765,782 views— demonstrating healthy engagement activity within this content vertical. The top creator ecosystem features 8 notable accounts, led by @tajassus_maths with 341,876 total views. The hashtag's semantic network includes 15 related keywords such as #users, #define, #user function, indicating its position within a broader content cluster.
Viewership & Reach Analysis
The 12 reels in this dataset have generated a combined 765,782 views, translating to an average of 63,815 views per reel. This strong average viewership suggests healthy algorithmic distribution. Reels using this hashtag are reliably reaching audiences interested in this niche.
The highest-performing reel in this dataset received 341,876 views. This viral outlier performance is 536% of the average reel performance in this set. This significant gap between the top performer and the average highlights the "viral lottery" nature of this hashtag — breakout hits can achieve massive scale.
Content Overview & Top Creators
The #user-defined-aggregate-functions ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 8 distinct accounts contributing to the trending feed. The top creator, @tajassus_maths, has contributed 1 reel with a total viewership of 341,876. The top three creators — @tajassus_maths, @codeverse007, and @vardy.mov — together account for 75.9% of the total views in this dataset. The semantic network of #user-defined-aggregate-functions extends across 15 related hashtags, including #users, #define, #user function, #defin. Creators often use these tags together to reach overlapping audiences.
Discoverability & Reach Potential
The discoverability metrics for #user-defined-aggregate-functions indicate an active content ecosystem. The average of 63,815 views per reel demonstrates consistent audience reach. For creators using #user-defined-aggregate-functions, posting consistently with trending audio and relevant angles will help you get noticed.
Analyst Verdict
#user-defined-aggregate-functions demonstrates the hallmarks of a steadily growing Instagram hashtag. With an average of 63,815 views per reel, the viewership metrics position this hashtag as a reliable reach driver. Creators like @tajassus_maths and @codeverse007 are leading the charge, setting viewership benchmarks for the community.
Frequently Asked Questions
Everything about #user-defined-aggregate-functions on Instagram
Global Reels Trends
Explore high-velocity Instagram Reels hashtags currently shaping global discovery.












