![]() Data Structures and Algorithms Made Easyġ0. Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People Problem-Solving with Algorithms and Data Structures Using Python ![]() Introduction to Algorithms: A Creative Approach Python Algorithms: Mastering Basic Algorithms in the Python Language Today, I have curated 10 best books for Algorithms and Data structures. You don’t even have to go to the top web companies, even midrange companies and startups rely heavily on algorithms, and if you want to get ahead, you should add this skill to your programming arsenal.Ī good thing about algorithms is that it is language-agnostic which means that a skilled enough programmer can convert a specific algorithm to their language of choice from another. Companies like Google, Facebook, Twitter, Microsoft, and Intel thrive on algorithms and data structures, and they are picky about their job applicants. I think any aspiring programmer should know how to implement and write algorithms. It knows precisely what you’d like, and when you don’t, it learns from your experience and modifies itself, i.e., machine learning algorithms. ![]() ![]() These intelligent lines of code are responsible for keeping you hooked to a website by suggesting content that it deems worthy of your interest. Ever wonder what makes video, friends, movie, and book recommendations seamless and intuitive on websites like YouTube, Facebook, and Netflix? That’s right, Algorithms.Īlgorithms are basically what drives the modern internet if you think about it. ![]()
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