Master problem solving for Coding Interviews, ace Data Structures and Algorithms with over 150 challenges!
Lessons emphasize specific code implementations for algorithms like Merge Sort and tree traversals, supported by a dedicated LRU Cache project.
Instruction focuses on teaching a systematic approach to finding solutions rather than just writing code, which helps develop algorithmic thinking.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This slide introduces the Sudoku Solver algorithmic challenge, detailing the input of a partially filled 2D matrix and the goal of solving it using standard rules.
This educational slide introduces the 'Count Triangles' algorithmic challenge, asking viewers to find the number of right-angled triangles with sides parallel to axes given N Cartesian points.
A close-up shot captures hands actively typing C++ code on a laptop, displaying syntax-highlighted programming text relevant to data structures and algorithms.
This visual overview highlights key algorithmic concepts including binary search, sorting, recursion, dynamic programming, tries, sliding window, brute force, backtracking, and strings.
One signal suggests the use of older C++ practices, such as raw pointers and NULL instead of modern standards like nullptr.
The curriculum skips basic syntax and focuses directly on problems, which may be difficult for those without a solid programming foundation.
The course is highly specialized for those with a programming background, but the lack of introductory syntax makes it unsuitable for absolute beginners.
Free
Free
