freeCodeCamp·2yLearn JavaScript by Building 21 Projects – a Major freeCodeCamp Curriculum Update
freeCodeCamp has launched a major update to the JavaScript Algorithms and Data Structures Certification. Readers can now learn JavaScript by building 21 projects, including certification projects. The projects cover a wide range of topics and concepts, such as form validation, string and array methods, recursion, functional programming, regular expressions, object-oriented programming, and more.
DEV·2yPersonal Roadmap for becoming a better software developer in 2024
Suggestions to become a better software developer: focus on building a strong foundation, learn data structures and algorithms, improve communication and writing skills, solve problems on LeetCode and HackerRank, be active on LinkedIn, enhance frontend skills, create a new portfolio, invest in courses and books, prioritize consistency and discipline.
30 seconds of code·3yBig-O Cheat Sheet
Big-O Cheat Sheet represents an algorithm's worst-case complexity. It uses algebraic terms to describe the complexity of an algorithm, allowing you to measure its efficiency and performance. Below you can find the best, average and worst time complexities for the most common array sorting algorithms.
Quastor Daily·3yHow Booking.com Searches Through Millions of Locations in Milliseconds
The data structure powering this map is a Quadtree, a tree data structure that’s used extensively for spatial indexing, image processing and more. For Quadtrees storing more than 300,000 markers, Booking achieves a p99 lookup time of less than 5.5 milliseconds. Pinterest uses Apache Druid for storing ad reporting metrics.
gitconnected·3y10 Best Coding and Programming Interview Books in 2023
10 Best Coding and Programming Interview Books in 2023. In the past, I have hared some of the best online courses to prepare coding interviews. These books are enough to crack even the toughest of the job interviews at Amazon, or Microsoft. They provide excellent coverage of all essential topics for programming job interviews.
Medium·2yUnlocking the Power of PHP Generators
PHP generators provide a way to iterate over large datasets or arrays without loading everything into memory. They work by processing one piece of data at a time using the 'yield' keyword. Generators can also receive input and return values. They are useful for memory management and handling large files.
ByteByteGo·3yEP60: Netflix Tech Stack - Databases
This week’s system design refresher: SQL Query Execution Order (Youtube video) Netflix Tech Stack - Databases The 10 Algorithms That Dominate Our World ‘Pull’ and ‘Push’ Payments ByteByteGo Talent Collective Retool is the fast way to build internal tools.
freeCodeCamp·3yKey Computer Science Concepts Every Software Engineer Should Know – and How to Learn Them
The more fundamentals you know, the less you will struggle learning new things. There are 10 core subjects which, if you learn them, will give you a solid foundation. The book I recommend to learn programming is Structures and Interpretations of Computer Programs (SICP) The book is free and has a set of MIT lectures.
Community Picks·3yDynamic Programming Algorithms Every Programmer Should Know
Dynamic programming is a popular technique in computer science and software engineering that allows for solving complex problems by breaking them down into smaller subproblems. This post explores various dynamic programming algorithms every programmer should know, including Fibonacci numbers, longest common subsequence, knapsack problem, edit distance, maximum subarray, coin change, matrix chain multiplication, longest increasing subsequence, traveling salesman problem, 0-1 integer programming, egg dropping problem, counting bits, perfect squares, partition equal subset sum, unique paths, unique paths II, and more.
Code Like A Girl·3yTop 5 PHP Best Practices
The world craves PHP-based websites and applications, and why not since it has covered 80% of the web? Getting familiar with the PHP best practices below is the only way to succeed in the long haul. Maintaining proper documentation of your code documentation is the first and foremost practice to follow.
Community Picks·3yDynamic Programming Algorithms Every Programmer Should Know
Dynamic programming is a technique that allows us to break down complex problems into smaller, more manageable subproblems. It involves solving subproblems only once and storing the results in memory for future use, instead of solving them repeatedly. This article explores essential dynamic programming algorithms like the Fibonacci sequence, the knapsack problem, and the longest common subsequence problem.
freeCodeCamp·3yLearn Machine Leaning without Libraries or Frameworks
"No Black Box" Machine Learning Course in JavaScript offers a hands-on approach to understanding machine learning systems by coding from scratch. By delving into the inner workings of these algorithms, you'll gain valuable insights and experience that will help you become a more proficient developer.
Machine Learning News·3yTop Artificial Intelligence (AI) Books to Read in 2023
The ability of a machine to reason, learn, and solve problems in the same ways that people do constitutes artificial intelligence. We’re learning more and more about how computers can mimic human thought processes and even complete jobs that were once thought too complex for machines to complete.
habr·3yLeetCode 956 (Hard). Solution of the day. Tallest Billboard. Swift. DP. O(n)
The code uses dynamic programming to solve the problem. It maintains a dictionary dp, where the keys represent the possible height differences between the two billboards. The code iterates through each rod in the given input rods. For each rod i, it creates a new dictionary cur to store the updated values for dp.
Towards AI·3yA Cheat Sheet to Deep Learning Algorithms: Types, Applications, and Examples
Deep learning is a subset of machine learning that involves training artificial neural networks to perform tasks. There are three main types of deep learning algorithms: supervised, unsupervised, and semi-supervised. The right algorithm for a specific problem will depend on the characteristics of the data and the complexity of the task.
Community Picks·3yA Look At The Fibonacci Sequence: A Recursive and Iterative Solution
The Fibonacci sequence is a sequence of numbers where each number is the sum of the two previous numbers. It was introduced by the Italian mathematician Fibonacci. The article explores both iterative and recursive solutions for the Fibonacci sequence in JavaScript.
KDnuggets·3yChatGPT for Data Science Interview Cheat Sheet
ChatGPT can help candidates understand and clarify complex concepts, algorithms, and methodologies commonly encountered in data science interviews. To help out, KDnuggets has put together a cheat sheet on the topic, ChatGPT for Data Science Interview Cheat Sheet.
freeCodeCamp·3yThe Difference Between AI and Machine Learning
Artificial Intelligence is a field which contains a lot of sub-fields, including Machine Learning. Machine Learning is not the same thing as Artificial Intelligence, but rather a part of it – like a cog amongst many cogs that makes up the machine which is Artificial Intelligence. I'll explain how Machine Learning fits into AI as a field.
