Leonardo de Moura’s Post

Complete beginners with no background in programming can start with Algorithms in the Essential Knowledge Series, more advanced coders can learn a lot from Real-World Algorithms. Read more 👉 https://lttr.ai/AN1d4 #algorithms #books #computerscience

How the Lean language brings math to coding and coding to math https://lnkd.in/gNgdg6i5

When Jensen Huang (NVidia Founder and CEO) spoke about how AI will be programming for us and we (as in anyone) can program without coding, it sparked a lot of discussions about the interpretation of his statement. From sensational headlines stating that Jensen thinks kids should not learn how to code or attention grabbing headlines that coding is dead. This created a lot of uncertainty as some equate it to ... there isn't a need to study computer science! I am not sure how that was part of some discussions, possibly that some infer that computer science is programming? I think we should look at programming as being a way for us to illustrate how computers work, and hence it is introduced in the computer science curriculum (I am sure I will also get some debate for the last statement). I wrote my thoughts on this and it is available at the following site https://lnkd.in/dqZC5TrT.

How the Lean language brings math to coding and coding to math https://lnkd.in/gNgdg6i5

Looking to level up your coding skills? Here are 3 must-read books every Computer Science Masters student should add to their list: 1. “Introduction to Algorithms” by Thomas H. Cormen: A timeless classic that covers fundamental algorithms and data structures essential for any aspiring programmer. 2. “Clean Code: A Handbook of Agile Software Craftsmanship” by Robert C. Martin: Learn the art of writing clean, maintainable code that stands the test of time. 3. “Artificial Intelligence: A Modern Approach” by Stuart Russell and Peter Norvig: Dive into the world of AI with this comprehensive guide covering everything from search algorithms to machine learning techniques. #ComputerScience #CodingSkills #BookRecommendations

"The fundamentals and skills themselves are evolving. Most introductory computer science courses focus on code syntax and getting programs to run, and while knowing how to read and write code is still essential, testing and debugging—which aren’t commonly part of the syllabus—now need to be taught more explicitly." #software #computerscience https://lnkd.in/etP-mPtk

Refining My Problem-Solving Skills Through Mathematics Over the past few months, I’ve been reflecting on my problem-solving approach in programming, particularly in the backend. I realized that my progress has been slower than expected, and I felt the need to refine how I break down complex problems. Recently, I decided to revisit my old mathematics textbooks to explore problem-solving from a different angle. It turned out to be a great experience! I came across topics like search algorithms, logical operations, quadratic equations, and even the subject of the formula. Surprisingly, I found many of these concepts applicable to programming and computer science. What stood out the most was how much these mathematical problems helped me practice breaking down larger, complex tasks into manageable pieces—exactly what’s needed in software development. Going forward, I plan to set aside time every day—about 1-2 hours—to work on mathematical problems and keep building this skill. It’s been a rewarding journey, and I’m excited to see how it will continue to sharpen my problem-solving abilities in coding. #ProblemSolving #Mathematics #Programming #ContinuousLearning #BackendDevelopment #CodingJourney

🌟 𝐃𝐚𝐲 𝟓 of #100DaysOfCode🌟 Today I was deep into sorting techniques (Greedy Methods) when I stumbled upon a link that opened up a whole new world: Harvard University CS50. 🤯 "This course teaches you how to solve problems, both with and without code, with an emphasis on correctness, design, and style. Topics include computational thinking, abstraction, algorithms, data structures, and computer science more generally. Problem sets inspired by the arts, humanities, social sciences, and sciences. More than teach you how to program in one language, this course teaches you how to program fundamentally and how to teach yourself new languages ultimately." - David J. Malan Just the first hour of the course brought coding into a whole new limelight for me. I felt like a student seeing coding from a fresh, exciting perspective, and it was a thrill like never before! 💻💡 I’m diving into this journey with renewed enthusiasm and curiosity. If anyone’s interested, you can access the course from here—it’s pure gold and absolutely free for everyone! 🏆✨ https://cs50.harvard.edu

Unlock your coding potential with our curated collection of free online resources on algorithms, data structures, and numerical computing. From mastering C++ algorithms to diving into software design and analysis, this guide has something for every programmer. Elevate your skills and ace those coding interviews. #Programming #Algorithm #GetVM #Tutorials

Here are some other tips to improve your rating: Solve problems quickly Solve problems in topics where you've failed Learn algorithms and data structures Practice on other judges Read articles about implementation, algorithms, and math Learn mathematics, especially forming equations, number theories, and combinatorics Solve problems on topics you are weak on Randomly solve problems a little bit higher than your rating Follow some good instructors like Vivek Gupta , Abhishek Saini CodeForces LeetCode #Coding #dailycoding #codeforces #leetcode