Binary Search
Har step par search space ko aadha karein. Sorted input zaroori. O(log n) ko live hote dekhein.
Scripts aur apps banane wale builders
Apne logic toolkit ko upgrade karein. Hum dictionaries, stacks, queues aur classic search algorithms me deep dive karenge. Ye aapke har production backend ke building blocks hain.
Har step par search space ko aadha karein. Sorted input zaroori. O(log n) ko live hote dekhein.
Har pass mein minimum dhundhein aur front mein move karein. n passes ko sorted array produce karte dekhein.
Har element ko already-sorted prefix mein sahi position par insert karein. Nearly sorted data ke liye efficient.
O(n²) double loop ki jagah do edge indexes ek doosre ki taraf chalao. Array problems ko linear time mein solve karo — bina extra memory kharach kiye.
O(1) per lookup mein count karne ke liye dictionary use karein. Kai frequency problems ki foundation.
LIFO action mein. List par stack ke roop mein push, pop, aur peek animate hote dekhein.
FIFO action mein. Enqueue aur dequeue animate hote dekhein aur samjhein ki deque list se better kyun hai.
Kya do strings ek dusre ki rearrangements hain? O(n) mein character counting se solve karte dekhein.
Size k ki har window mein maximum sum dhundhein. Window ko array par slide karte dekhein.
Do sorted arrays ko ek mein combine karein. Merge sort ke peeche ka core operation.