Learn Dynamic Programming with Animations – Full Course for Beginners

Learn Dynamic Programming with Animations – Full Course for Beginners

🎙 Sheldon (Algo Monster) 👥 11.8M 📅 January 21, 2026 ⏱ 101 min 👁 190K 📄 tutorial 🧭 2026-08-03
Available in: English (current) Français

Keywords

Dynamic ProgrammingMemoizationTabulationRecursionOptimization

Summary

This comprehensive tutorial on dynamic programming (DP) is designed for beginners and uses animations to illustrate key concepts. The course begins with the fundamentals, explaining the staircase problem to introduce the idea of breaking problems into subproblems. It then covers two main DP approaches: memoization (top-down) and tabulation (bottom-up), comparing their trade-offs. The instructor, Sheldon, presents seven common DP patterns: constant transition, grid problems, two sequences, interval DP, non-constant transition, and knapsack-like problems. Each pattern is accompanied by practice problems such as N-th Tribonacci Number, Min Cost Climbing Stairs, House Robber, Unique Paths, Longest Common Subsequence, Edit Distance, Longest Palindromic Subsequence, Palindromic Substrings, Longest Increasing Subsequence, Partition Array for Maximum Sum, and Partition Equal Subset Sum. The course emphasizes recognizing patterns to solve a wide range of DP problems efficiently. Animations help visualize how data flows through tables and recursion trees, making abstract logic more tangible. The video concludes with a summary of the patterns and encourages further practice on the Algo Monster platform.

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Critical Evaluation

The video provides a solid introduction to dynamic programming, effectively using animations to demystify complex concepts. The pedagogical approach is strong: starting with a simple staircase problem, the instructor builds intuition before introducing formal techniques. The explanation of memoization and tabulation is clear, with visual aids that illustrate the reduction in computational complexity. The coverage of seven DP patterns is comprehensive, and each pattern is reinforced with a practice problem, which helps solidify understanding. However, the depth of explanation varies; some sections, such as Edit Distance, are rushed and may leave beginners struggling to follow. The reliance on animations is generally beneficial, but at times the visual noise can be distracting. The course does not delve into the mathematical proofs or theoretical underpinnings of DP, but that is acceptable for a beginner-focused tutorial. The instructor’s experience is evident, and the content is accurate. The sources cited are limited to the Algo Monster platform and freeCodeCamp, which are reputable but not academic. The title accurately reflects the content, and the course meets its stated goal of building visual intuition. Overall, this is a high-quality educational resource for those starting with DP, though it may not suffice for advanced learners seeking deeper theoretical insights.

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Title / Content Match

The title accurately reflects the content: a comprehensive beginner course on dynamic programming with animations.

Quality & Reliability

8/10

The course is well-structured, covers fundamental DP patterns with clear animations, and provides practical examples. The instructor has relevant industry experience. However, the content is primarily tutorial-based without deep theoretical rigor or external citations, and some sections (e.g., Edit Distance) are rushed.

Key Moments

Cited Sources

  • Algo Monster DP Course — The instructor's platform for further practice and resources on dynamic programming.
  • freeCodeCamp News — freeCodeCamp's publication platform, likely hosting related articles and tutorials.
  • Scrimba — Mentioned as a sponsor; interactive coding platform.
  • freeCodeCamp — The main freeCodeCamp website, offering free coding courses and resources.

Concurring Sources

Contribution & Novelties

This course provides a unique visual approach to teaching dynamic programming, using animations to illustrate how data flows through recursion trees and DP tables. It systematically organizes problems into seven patterns, which is a valuable framework for tackling interview questions. The emphasis on pattern recognition over memorization is a practical contribution to the learning community.

Pour aller plus loin :

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Radar Profile

The radar profile shows high scores in quantity of information and technical level, indicating a dense and technically rich tutorial. The quality of information and reliability are also strong, though slightly lower, reflecting the lack of external citations and occasional rushed explanations. Overall, the course is well-balanced for a beginner audience.

Reliability 8/10

💬 Très positif. Sur les 30 commentaires analysés, la grande majorité exprime de l'enthousiasme et de la gratitude, avec des remarques sur la clarté des explications et l'utilité des animations. Quelques critiques mineures concernent la rapidité de certaines sections, mais l'ensemble est très favorable.