Antony @robertst97

#Yash : Never take cinema seriously. We haven’t achieved anything special. Dream it, achieve it. If you don’t, don’t blame the world - you are responsible.

"சினிமாவை ஒருபோதும் சீரியஸாக எடுத்துக்கொள்ளாதீர்கள். நாங்கள் ஒன்றும் பெரிதாகச் சாதித்துவிடவில்லை. வாழ்க்கையில் என்ன செய்ய விரும்புகிறீர்களோ, அதைக் கனவாகக் கொண்டு உழையுங்கள். மரியாதையும் வெற்றியும் உங்களைத் தேடி வரும்." - ‘டாக்ஸிக்’ பட விழாவில் நடிகர் யஷ் (ஹைதராபாத்)

#Yash : Never take cinema seriously. We haven’t achieved anything special.. Whatever You want to do in life.. Dream it, and Work towards it.. You will get respect and success.. If We fail in something, don’t blame the world.. Only We are responsible..

Indus River

@expertwith_AI Drive

Types of Circuit Breakers ⚡

Types of Circuit Breakers Explained ⚙️

The biggest crime in our childhood 😭

Bagundi Anna !!!! Nijangane Bagundi Anna !!! UNITED TFI🔥🔥🔥🔥🔥🔥

REMEMBER.

poker hand ranking.

Square Number (1 to 100)

Behind every fast query, smart filter, or scalable database lies a powerful data structure. These 20 structures aren’t just theory, they’re the backbone of real-world systems that power search engines, time-series storage, blockchain, and more. 1. Indexing Structures Hash Index, B-Tree, Skiplist, Bitmap Index, Trie These are the go-to structures for fast data access. Whether it’s quick key-value lookups in memory or sorted traversals on disk, these structures form the core of query performance in most databases. 2. Search & Pattern Matching Inverted Index, Suffix Tree, Segment Tree, R-Tree Designed for deep searches — from documents and strings to spatial queries — these structures support full-text search, multi-dimensional lookups, and real-time analytics. 3. Write-Optimized Storage LSM Tree, SSTable, Bloom Filter High-ingestion databases like Cassandra and RocksDB rely on these to optimize write speed while managing data compaction and fast approximate lookups with minimal memory overhead. 4. Spatial & Range Indexing Quad Tree, Z-order Curve, Segment Tree Used in applications like maps, game engines, and time-series systems — these structures help partition and access multi-dimensional or sequential data efficiently. 5. Advanced Use Cases Merkle Tree, Suffix Tree, Bloom Filter From verifying blockchain transactions to bioinformatics and deduplication in distributed systems — these data structures are built for reliability and integrity at scale. Knowing these structures and more importantly, where they’re used - helps you design database systems that are optimized, reliable, and scalable. What will you add to this?

@Hey_Aivetra All

All Paid Courses (Free for First 4500 People) 𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 1) 1. Artificial Intelligence 2. Machine Learning 3. Cloud Computing 4. Ethical Hacking 5. Data Analytics 6. AWS Certified 7. Data Science 8. BIG DATA 9. Python 10. MBA (72 Hours only ) To get- 1. Like & Retweet to get DM 2. Reply " All "

Trigonometry Formulas