Learn the basics of computer science from Harvard University. This is CS50, an introduction to the intellectual enterprises of computer science and the art of...

This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in...

This course will help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful...

This course is the first of a series that aims to prepare you for a role as an entry-level IT Support Specialist. You’ll learn about the different facets of Information Technology, like computer...

By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient...

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of...

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to...

This course explores the various tools and techniques commonly used by Linux system administrators and end users to achieve their day-to-day work in a Linux environment. It is designed for...

After this course, you’ll know everything you need to be able to separate fact from fiction when reading claims about Bitcoin and other cryptocurrencies. You’ll have the conceptual foundations...

Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of...

In this online course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming...

In this course you will learn the inner workings of cryptographic systems and how to correctly use them in real-world applications. The course begins with a detailed discussion of how two parties who...

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with...

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in...

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a...

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of...

What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common? They are all complex real world problems being solved with...

The basis for education in the last millennium was “reading, writing, and arithmetic;” now it is reading, writing, and computing. Learning to program is an essential part of the education of...

The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the...

This first course of the Blockchain specialization provides a broad overview of the essential concepts of blockchain technology – by initially exploring the Bitcoin protocol followed by the...

The primary topics in this part of the specialization are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest...

In this course, you will learn to design the computer architecture of complex modern microprocessors. All the features of this course are available for free. It does not offer a certificate upon...

This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing;...

Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix,...

While HTML and CSS control the content and styling of a page, JavaScript is used to make it interactive. In the JavaScript Algorithm and Data Structures Certification, you'll learn the...

In the Scientific Computing with Python Certification, you'll learn Python fundamentals like variables, loops, conditionals, and functions. Then you'll quickly ramp up to complex data...

In the Machine Learning with Python Certification, you'll use the TensorFlow framework to build several neural networks and explore more advanced techniques like natural language processing and...

This book shows you the tried-and-true, road-tested patterns used by developers to create functional, elegant, reusable, and flexible software. By the time you finish this book, you’ll be able to...

Clean Architecture is essential reading for every software architect, systems analyst, system designer, and software manager -- and for any programmer who aspires to these roles or is impacted by...

This new edition examines the core of modern software development—understanding what is wanted and producing working, maintainable code that delights its users. It covers topics ranging from...

As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host...

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this...

The Art of Randomness is a hands-on guide to mastering the many ways you can use randomized algorithms to solve real programming and scientific problems. You’ll learn how to use randomness to run...

Are you hitting a wall with data structures and algorithms? Whether you’re a student prepping for coding interviews or an independent learner, this book is your essential guide to efficient...

For Arduino programmers who’ve mastered the basics, this book is the next step toward becoming an expert Arduinian. You’ll build 70 complex and practical projects with this versatile...

Computer Architecture is an in-depth exploration of the principles and designs that have shaped computer hardware through the ages, from counting devices like the abacus, to Babbage’s Difference...

A complete beginner’s book on 64-bit ARM assembly language, written specifically for macOS, Linux, Raspberry PiOS (64-bit), and other 64-bit ARM-based systems. Add valuable skills to your...

For new software engineers, knowing how to program is only half the battle. You'll quickly find that many of the skills and processes key to your success are not taught in any school or bootcamp....

Data Structures and Information Retrieval in Python, is an introduction to data structures organized around a motivating example: building a search engine. The elements of the search engine are the...

If you understand basic mathematics and know how to program with Python, you’re ready to dive into signal processing. While most resources start with theory to teach this complex subject, this...

Complexity science uses computation to explore the physical and social sciences. In Think Complexity, you’ll use graphs, cellular automata, and agent-based models to study topics in physics,...

The goal of this concise book is not just to teach you Java, but to help you think like a computer scientist. You’ll learn how to program—a useful skill by itself—but you’ll also discover how...

If you’re a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in...

Modeling and Simulation in Python is a thorough but easy-to-follow introduction to physical modeling—that is, the art of describing and simulating real-world systems. Clear and concise, with a...

Modeling and simulation are powerful tools for explaining the world, making predictions, designing things that work, and making them work better. Learning to use these tools can be difficult; this...

Think OS is an introduction to Operating Systems for programmers. In many computer science programs, Operating Systems is an advanced topic. By the time students take it, they usually know how to...

The Little Book of Semaphores is a free textbook that introduces the principles of synchronization for concurrent programming. n most computer science curricula, synchronization is a module in an...

The book covers various aspects of Python programming, from basic syntax to more advanced topics. It provides practical examples and exercises to help readers grasp key concepts effectively....

Messy code is a nuisance. "Tidying" code, to make it more readable, requires breaking it up into manageable sections. In this practical guide, author Kent Beck, creator of Extreme Programming...

The Programmer’s Brain unlocks the way we think about code. It offers scientifically sound techniques that can radically improve the way you master new technology, comprehend code, and memorize...

Serious developers know that code can always be improved. With each iteration, you make optimizations—small and large—that can have a huge impact on your application’s speed, size, resilience,...

Good Code, Bad Code is a clear, practical introduction to writing code that’s a snap to read, apply, and remember. With dozens of instantly-useful techniques, you’ll find coding insights that...

Today, software engineers need to know not only how to program effectively but also how to develop proper engineering practices to make their codebase sustainable and healthy. This book emphasizes...

Going from engineer to manager doesn't have to be intimidating. Engineers can be managers, and fantastic ones at that. Cast aside the rhetoric and focus on practical, hands-on techniques and...

This is the book for Gophers who want to learn how to build distributed systems. You know the basics of Go and are eager to put your knowledge to work. Build distributed services that are highly...

Microservices Patterns teaches enterprise developers and architects how to build applications with the microservice architecture. Rather than simply advocating for the use the microservice...

The overwhelming majority of a software system's lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the...

As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are taking an interest in high-level software design patterns such as hexagonal/clean...

The "hows" and "whys" of How Linux Works: for administrators, programmers, and enthusiasts who want to understand the inner workings of the best operating...

You can do more with Git than just build software. This practical guide delivers a unique people-first approach to version control that also explains how using Git as a focal point can help your team...

Problem sets in computer science are designed to challenge individuals to apply their knowledge in various programming languages. These sets are assessed based on difficulty levels, with examples...

Coding challenges for beginners. These problems cover various topics such as sorting and searching, dynamic programming, graph algorithms, range queries, tree algorithms, mathematics, string...

Coding challenges on Searching and Sorting. Work on problems, such as: Distinct Numbers, Apartments, Ferris Wheel, Concert Tickets, an...

Coding challenges that focus on aspects of dynamic programming, that require careful consideration of previous calculations and optimal choices for achieving the desired results. Dice combinations,...

Solve problems by implementing algorithms like BFS, DFS, finding cycles, minimum spanning trees, and more. These solutions often require techniques, such as topological sorting, dynamic programming,...

Coding challenges on Range Sum Queries, Range Minimum Queries, Range Xor Queries. This problem set involves various types of queries and data structures to efficiently process them....

Solve Tree Algorithm problems, such as Subordinates, Tree Matching, Tree Diameter, and Tree Distances....

These problems are part of the CSES Mathematics section, which offers a range of problem-solving challenges related to mathematical concepts like recursion, exponentiation, and combinatorics. Solve...

Solve various problems like Word Combinations, String Matching, Required Substring, and more. These problems involve different techniques such as knapsack, hashing, KMP algorithm, Z-Algorithm,...

This problem set offers challenges involving shapes, angles, and spatial relationships. Some of the geometry problems include Point Location Test, Line Segment Intersection, Polygon Area, Point in...

This problem set includes a variety of challenging problems, such as Minimum spanning tree, Heavy-light decomposition, Maximum subarray sum, Palindrome reorder, Tower of Hanoi, Apple...

Cover various topics such as greedy algorithms, BFS, and more. These additional problems provide a deeper challenge beyond the standard problem set. The problems involve concepts like minimizing...

To describe the ACM-ICPC category on LightOJ, it is a section that likely contains problems related to the ACM International Collegiate Programming Contest (ICPC). This category may feature a variety...

The problem description for the LightOJ category "database" involves a dynamic programming task where the goal is to find the number of nodes to be lightened in the subtree of a specific node...

"Warm-Up" on LightOJ's problem-solving platform is a section where users can find introductory problems designed to help them kickstart their problem-solving journey. These warm-up...

This includes a variety of challenging problems that require advanced problem-solving techniques. These problems cover a range of topics such as Data Structures, Divide and Conquer, Dynamic...

The category "data structures" on LightOJ includes problems that involve various data structure concepts. These problems likely require understanding and implementing data structures like...