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.
Community Picks·2yMy favorite coding question to give candidates (and why)
The article discusses the author's favorite coding question to ask candidates during interviews. It emphasizes the importance of clarifying questions, understanding code complexity, and optimizing solutions. The question involves generating a list of loyal customers based on log files. The article highlights different approaches taken by candidates and provides insights for interviewers.
freeCodeCamp·3yData Structures Handbook – The Key to Scalable Software
Data structures such as linked lists, stacks, and trees are essential tools in software development, allowing for efficient data management and processing. Linked lists provide flexibility in memory allocation, while stacks follow the LIFO principle for orderly data processing. Trees organize data hierarchically, mirroring real-world structures. Understanding the advantages and limitations of each data structure is crucial for optimal use.
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.
ByteByteGo·3yEP55: Top 7 ChatGPT Developer Hacks
A good engineer needs to recognize how data structures are used in our daily lives. Engineers should be aware of these data structures and their use cases to create effective and efficient solutions. Message brokers play a crucial role when building distributed systems or microservices to improve their performance, scalability and maintainability.
Community Picks·3yBest coding interview question of all time.
This post discusses the best coding interview question of all time, which is about finding a duplicate number in an array. It covers various aspects of the problem, including clarification questions, optimal solutions using HashMap and array index, and additional constraints like immutable arrays. The post also highlights the importance of competence, creativity, and attitude in solving algorithmic problems during interviews.
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.
JavaScript in Plain English·3yQuick Tips for Learning Javascript
JavaScript is a powerful programming language with flexibility and ease of use. It's important to avoid code with different types of values and focus on fundamental programming skills. JavaScript can be used in various contexts and there are multiple tools available to achieve the same thing.
Kirupa·3yArrays: A Data Structure Deep Dive
Arrays, as we will find out soon enough, are one of the most popular data structures that many other data structures will use as part of their functioning. In the following sections, we’ll look at what arrays are, why they are so popular, how to use them, and more.
asayer·3yOptimizing React's Performance
Maintaining a local component state can optimize the performance of a React application by keeping the Component self-contained and reducing the number of props and states that need to be passed down the component tree. This article will cover the techniques and explain why these optimization processes are essential and when to utilize them.
Community Picks·3yLearn Essential JavaScript Methods and Objects
Explore JavaScript's core data structures - arrays and objects. Learn how to create, manipulate, and perform advanced operations on arrays, as well as how to create, access, and manipulate objects. Gain a deeper understanding of these fundamental data structures to handle data proficiently in your JavaScript applications.
Kirupa·3yHashtables: A Deep Dive into Efficient Data Storage and Retrieval
Hashtables: A Deep Dive into Efficient Data Storage and Retrieval Tutorials Coding Exercises Videos Books FORUMS. In this tutorial, we’ll go deep into what makes hashtables (often also referred to as hashmaps or dictionaries) really awesome.
ByteByteGo·3yEP58: 10 Key Data Structures We Use Every Day
18 most-used Linux commands are instructions for interacting with the operating system. You need to become familiar with these commands in order to navigate and maintain Linux-based systems efficiently and effectively. Full stack development involves developing and managing all layers of a software application, from user interfaces to storage.
InfoWorld·3y12 programming mistakes to avoid
This post discusses common programming mistakes to avoid, such as playing it fast and loose, obsessing over details, and having too much or too little theoretical complexity. It also touches on the dangers of having too much faith in artificial intelligence, not enough training data, not trusting your security to magic boxes, and not trusting the client enough. The post highlights the importance of striking a balance and avoiding grow-your-own cryptography. Lastly, it talks about the challenges and advantages of openness in software development.
