![]() ![]() This is an old article but I only read it last week. How to prepare for competitive programming? by I was a bit sad to not find any of my article there as some of them like 50+ Algorithms Problems and 20+ String Coding Problems are super useful for programmers preparing for their coding interview, but hey it's a still a very good collection. I really enjoyed this article.ġ42 Resources for Mastering Coding Interviews by Ī huge collection of resources for preparing for coding interviews, if you like to solve coding problems, you will find a lot of them here. If you are someone who feels Graph is not your cup of tea, this article will probably help you to change your perception. The graph is one of the most important data structure but often overlooked by beginners thinking that it's too complex to understand. ![]() Intro To Dynamic Programming - Coding Interview Preparationĭata Structures 101: Graphs - A Visual Introduction for Beginners by.If you want to learn more about Dynamic programming, here are a couple of more resources to learn Dynamic Programming better: This article provides an introduction of Dynamic programming with a different angle and using a different way, this might help you to learn it better. JavaScript Algorithms and Data Structures Masterclassby Colt Steele for JavaScript programmersĪ graphical introduction to dynamic programming by ĭynamic programming is an interesting concept and very useful too, particularly if you are preparing for coding interviews.Algorithms and Data Structures in Python for those who love Python.Data Structures and Algorithms: Deep Dive Using Java for Java developers.If you are new to the Data structure and Algorithms, here are few courses to refresh your knowledge depending upon which programming language suits you best, Like: If you love solving coding problems you will enjoy this article.ītw, you should have basic knowledge of Data Structure and Algorithms before you go for coding interviews. This will help you to not only learn syntax but also how to build logic using the language. I have been learning JavaScript and what is better to keep it improving than solving coding problems in the language. Solving the classic Two-Sum and Three-Sum Problem in JavaScript by If you like learning from free resources then you will enjoy these collections of courses. These courses will not only teach you basic data structure like an array, linked list, binary tree, and hashtable but also advanced data structure like TRIE, Self-balanced trees like AVL and Red-Black tree, Graph, etc. I have shared a bunch of helpful free courses to learn data structure and algorithms. I loved it and it's my favorite course for coding interviewsġ0 Free Data Structure and Algorithm Courses Junior Developers Should Explorer This article will teach you some of the common techniques to solve coding problems in interviews like the two-pointer approach, recursion, slow-fast pointer approach, sliding window, dynamic programming, and much more.Īctually, this article is just an introduction to their course - Grokking the Coding Interview: Patterns for Coding Questions, so if you feel to deep dive on these patterns you should definitely check out this course. This is my favorite article of this week, I am a big fan of Fahim ul Haq's writing and love his articles so you may consider bit partisan but you will agree with me once you read this article. So, without wasting any more of your time, here is my list of 10 Data Structure and Algorithms Articles Programmers can read this week: 14 Patterns to Ace Any Coding Interview Question by Fahim ul Haq Image credit - Grokking the Coding Interview: Patterns for Coding Questions Hello guys, How are you doing? It's been a long time since I wrote anything here, so here I am, sharing with you a couple of nice articles you can read this week on Data Structure and Algorithms.Īlong the way, I will also share some interesting books and courses for those who want to deep dive into this important topic. Disclosure: This post includes affiliate links I may receive compensation if you purchase products or services from the different links provided in this article. ![]()
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