A course that teaches pointers, linked lists, general programming, algorithms and recursion like no one else

Programming interviews are like standard plays in professional sport - prepare accordingly. Don't let Programming Interview gotchas get you down!

The course instruction is in Hindi
Programming interviews differ from real programming jobs in several important aspects, so they merit being treated differently, just like set pieces in sport.
Just like teams prepare for their opponent's playbooks in professional sport, it makes sense for you to approach programming interviews anticipating the interviewer's playbook
This course has been drawn by a team that has conducted hundreds of technical interviews at Google and Flipkart
What's Covered:

Pointers: Memory layout of pointers and variables, pointer arithmetic, arrays, pointers to pointers, pointers to structures, argument passing to functions, pointer reassignment and modification - complete with visuals to help you conceptualize how things work.
Strings: Strings, Character pointers, character arrays, null termination of strings, string.h function implementations with detailed explanations.
Linked lists: Visualization, traversal, creating or deleting nodes, sorted merge, reversing a linked list and many many problems and solutions, doubly linked lists.
Sorting and searching algorithms: Visualize how common sorting and searching algorithms work and the speed and efficiency of those algorithms
Recursion: Master recursion with lots of practice! 8 common and uncommon recursive problems explained. Binary search, finding all subsets of a subset, finding all anagrams of a word, the infamous 8 Queens problem, executing dependent tasks, finding a path through a maze, implementing PaintFill, comparing two binary trees
Step-by-step solutions to dozens of common programming problems: Palindromes, Game of Life, Sudoku Validator, Breaking a Document into Chunks, Run Length Encoding, Points within a distance are some of the problems solved and explained.
Trees and Binary Search Trees
Heaps and Binary Heaps