कीजिये तैयारी Programming & Coding Interviews की

Course details

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
• Graphs