💻 Applied Computer Science

Bridges theory and practice in computing, focusing on how algorithms, data structures, and computational thinking solve real-world problems across industries.

Algorithms of the Intelligent Web

by Haralambos Marmanis • 2009

Search, recommend, cluster, classify: the algorithms that make web applications intelligent.

3.62

130

🤖 Machine Learning 🌐 Web Applications 🎯 Recommendation Systems

Algorithms of the Intelligent Web Summary

Algorithms of the Intelligent Web 91%

Search, recommend, cluster, classify: the algorithms that make web applications intelligent.

by Haralambos Marmanis 2009

3.62

130 ratings

🤖 Machine Learning 🌐 Web Applications 🎯 Recommendation Systems

Learning OpenCV

by Gary Bradski • 2008

From smoothing to machine learning: the complete OpenCV toolkit for building computer vision apps.

4.01

171

🖥️ Computer Vision 🌄 Image Processing 📚 Open Source Libraries

Learning OpenCV 91%

From smoothing to machine learning: the complete OpenCV toolkit for building computer vision apps.

by Gary Bradski 2008

4.01

171 ratings

🖥️ Computer Vision 🌄 Image Processing 📚 Open Source Libraries

Software Engineering

by Ian Sommerville • 1982

From requirements to deployment: the systematic approach to building software that lasts.

3.77

945

🖥️ Software Engineering 🔄 Software Processes 🏃 Agile Methods

Software Engineering 91%

From requirements to deployment: the systematic approach to building software that lasts.

by Ian Sommerville 1982

3.77

945 ratings

🖥️ Software Engineering 🔄 Software Processes 🏃 Agile Methods

Python Programming

by John Zelle • 2003

A Python-first CS textbook that teaches what computation can do, not just how to code.

4.02

483

📘 Introductory Programming 🐍 Python Programming 🧮 Algorithm Fundamentals

Python Programming 91%

A Python-first CS textbook that teaches what computation can do, not just how to code.

by John Zelle 2003

4.02

483 ratings

📘 Introductory Programming 🐍 Python Programming 🧮 Algorithm Fundamentals

AI for Data Science

by Zacharias Voulgaris • 2018

The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.

4.55

📊 Data Science 🧠 Deep Learning ⚙️ Optimization Algorithms

AI for Data Science 91%

The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.

by Zacharias Voulgaris 2018

4.55

20 ratings

📊 Data Science 🧠 Deep Learning ⚙️ Optimization Algorithms

AI and Machine Learning for On-Device Development

by Laurence Moroney • 2021

Privacy-respecting on-device AI: face detection, text analysis, custom models. No cloud, no PhD.

4.17

📱 Mobile Development 🧠 On-Device Ai 🤖 Applied Machine Learning

AI and Machine Learning for On-Device Development Summary

AI and Machine Learning for On-Device Development 91%

Privacy-respecting on-device AI: face detection, text analysis, custom models. No cloud, no PhD.

by Laurence Moroney 2021

4.17

6 ratings

📱 Mobile Development 🧠 On-Device Ai 🤖 Applied Machine Learning

Identity and Data Security for Web Development

by Jonathan LeBlanc • 2016

Assume the database will be breached: the encryption, authentication, and UX tradeoffs worth making.

3.33

🔒 Web Security 🔐 Applied Cryptography 🔑 Authentication Systems

Identity and Data Security for Web Development Summary

Identity and Data Security for Web Development 91%

Assume the database will be breached: the encryption, authentication, and UX tradeoffs worth making.

by Jonathan LeBlanc 2016

3.33

43 ratings

🔒 Web Security 🔐 Applied Cryptography 🔑 Authentication Systems

Structured Computer Organization

by Andrew S. Tanenbaum • 1976

From logic gates to assembly code: the layered architecture every computer hides in plain sight.

4.04

591

🏗️ Computer Architecture 🧅 Layered Abstraction 🔌 Digital Logic

Structured Computer Organization Summary

Structured Computer Organization 91%

From logic gates to assembly code: the layered architecture every computer hides in plain sight.

by Andrew S. Tanenbaum 1976

4.04

591 ratings

🏗️ Computer Architecture 🧅 Layered Abstraction 🔌 Digital Logic

Operating System Concepts

by Abraham Silberschatz • 1985

There is exactly one program that never stops on your computer; everything else negotiates with it.

3.90

2k+

🖥️ Operating Systems ⚙️ Kernel Design 💻 Virtualization

Operating System Concepts 91%

There is exactly one program that never stops on your computer; everything else negotiates with it.

by Abraham Silberschatz 1985

3.90

2k+ ratings

🖥️ Operating Systems ⚙️ Kernel Design 💻 Virtualization

Introduction to Computation and Programming Using Python

by John V. Guttag • 2013

A computer calculates and remembers; everything beyond that is what you build with code.

4.22

500

🧑‍💻 Introductory Programming 🧠 Computational Thinking 🐍 Python For Beginners

Introduction to Computation and Programming Using Python Summary

Introduction to Computation and Programming Using Python 91%

A computer calculates and remembers; everything beyond that is what you build with code.

by John V. Guttag 2013

4.22

500 ratings

🧑‍💻 Introductory Programming 🧠 Computational Thinking 🐍 Python For Beginners

Data Structures and Algorithms in Java

by Michael T. Goodrich • 1998

Data structures and their runtime analysis: how to write Java code that is efficient and dependable.

3.86

302

🧱 Data Structures ⚙️ Algorithms 🏗️ Algorithm Design

Data Structures and Algorithms in Java Summary

Data Structures and Algorithms in Java 91%

Data structures and their runtime analysis: how to write Java code that is efficient and dependable.

by Michael T. Goodrich 1998

3.86

302 ratings

🧱 Data Structures ⚙️ Algorithms 🏗️ Algorithm Design

Mastering Regular Expressions

by Jeffrey E.F. Friedl • 1997

Understand the engine behind your regex: why some patterns crawl, and how to make them run.

4.16

2k+

🧩 Regular Expressions 📝 Text Processing 🔍 Pattern Matching

Mastering Regular Expressions 91%

Understand the engine behind your regex: why some patterns crawl, and how to make them run.

by Jeffrey E.F. Friedl 1997

4.16

2k+ ratings

🧩 Regular Expressions 📝 Text Processing 🔍 Pattern Matching

Python for Data Analysis

by Oscar Scratch • 2019

Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.

3.50

🧮 Scientific Computing 🔄 Data Manipulation 📊 Data Visualization

Python for Data Analysis 91%

Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.

by Oscar Scratch 2019

3.50

2 ratings

🧮 Scientific Computing 🔄 Data Manipulation 📊 Data Visualization

How Computers Really Work

by Matthew Justice • 2020

From transistor to web: the computing stack explained layer by layer, no prerequisites required.

4.35

160

🏗️ Computer Architecture ⚡ Digital Electronics 🧱 Abstraction Layers

How Computers Really Work 91%

From transistor to web: the computing stack explained layer by layer, no prerequisites required.

by Matthew Justice 2020

4.35

160 ratings

🏗️ Computer Architecture ⚡ Digital Electronics 🧱 Abstraction Layers

Effective Programming

by Jeff Atwood • 2012

Syntax lands the job. Everything else—teams, users, security—is what actually keeps it.

3.91

931

🧱 Software Craftsmanship 🖥️ User Experience Design 🔒 Security-First Design

Effective Programming 91%

Syntax lands the job. Everything else—teams, users, security—is what actually keeps it.

by Jeff Atwood 2012

3.91

931 ratings

🧱 Software Craftsmanship 🖥️ User Experience Design 🔒 Security-First Design

Algorithms

by Panos Louridas • 2020

Twenty steps to find one item in a million, and the hidden logic that runs our world.

4.03

302

📐 Algorithm Design 💻 Computing Primers 🕸️ Graph Theory

Algorithms 91%

Twenty steps to find one item in a million, and the hidden logic that runs our world.

by Panos Louridas 2020

4.03

302 ratings

📐 Algorithm Design 💻 Computing Primers 🕸️ Graph Theory

How to Speak Tech

by Vinay Trivedi • 2013

No coding required: the Internet, cloud, databases, and software, translated into business sense.

3.93

204

📖 Tech Literacy 🌐 Web Development ☁️ Cloud Computing

How to Speak Tech 91%

No coding required: the Internet, cloud, databases, and software, translated into business sense.

by Vinay Trivedi 2013

3.93

204 ratings

📖 Tech Literacy 🌐 Web Development ☁️ Cloud Computing

Algorithms + Data Structures = Programs

by Niklaus Wirth • 1975

Programs are just data structures shaped by algorithms. Master both, and the rest follows.

4.24

207

🔧 Software Engineering 🧮 Data Structures And Algorithms 📐 Structured Programming

Algorithms + Data Structures = Programs Summary

Algorithms + Data Structures = Programs 91%

Programs are just data structures shaped by algorithms. Master both, and the rest follows.

by Niklaus Wirth 1975

4.24

207 ratings

🔧 Software Engineering 🧮 Data Structures And Algorithms 📐 Structured Programming

Computer Science Distilled

by Wladston Ferreira Filho • 2017

The missing CS toolkit for self-taught coders: how to think in algorithms, not just syntax.

4.07

1k+

🧠 Computational Thinking 🧮 Algorithm Design 🗂️ Data Structures

Computer Science Distilled 91%

The missing CS toolkit for self-taught coders: how to think in algorithms, not just syntax.

by Wladston Ferreira Filho 2017

4.07

1k+ ratings

🧠 Computational Thinking 🧮 Algorithm Design 🗂️ Data Structures

Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People

by Aditya Y. Bhargava • 2015

Algorithms stripped of dense math: a hand-drawn guide to thinking in runtimes and data structures.

4.41

5k+

🔢 Algorithm Fundamentals 🧱 Data Structures 🔍 Sorting And Searching

Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People Summary

Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People 91%

Algorithms stripped of dense math: a hand-drawn guide to thinking in runtimes and data structures.

by Aditya Y. Bhargava 2015

4.41

5k+ ratings

🔢 Algorithm Fundamentals 🧱 Data Structures 🔍 Sorting And Searching

Computational Thinking

by Peter J. Denning • 2019

It is a 4,500-year-old practice that built modern science, yet most confuse it with just coding.

3.63

304

💭 Computational Thinking 🕰️ History Of Computing 🎨 Design Thinking

Computational Thinking 91%

It is a 4,500-year-old practice that built modern science, yet most confuse it with just coding.

by Peter J. Denning 2019

3.63

304 ratings

💭 Computational Thinking 🕰️ History Of Computing 🎨 Design Thinking

The Art of Computer Programming, Volume 1

by Donald Ervin Knuth • 1973

Algorithms are not just code: they are mathematical objects. To understand one, you must prove it.

4.38

2k+

🧮 Algorithm Design 🗂️ Data Structures 📈 Algorithm Analysis

The Art of Computer Programming, Volume 1 Summary

The Art of Computer Programming, Volume 1 91%

Algorithms are not just code: they are mathematical objects. To understand one, you must prove it.

by Donald Ervin Knuth 1973

4.38

2k+ ratings

🧮 Algorithm Design 🗂️ Data Structures 📈 Algorithm Analysis

The Algorithm Design Manual

by Steven S. Skiena • 1997

The first step is modeling, not coding. A practical manual and its 75-problem catalog show how.

4.34

3k+

🧩 Algorithm Design 🗃️ Data Structures 🕸️ Graph Algorithms

The Algorithm Design Manual 91%

The first step is modeling, not coding. A practical manual and its 75-problem catalog show how.

by Steven S. Skiena 1997

4.34

3k+ ratings

🧩 Algorithm Design 🗃️ Data Structures 🕸️ Graph Algorithms

Data Structures and Algorithms

by Alfred V. Aho • 1983

Write code that scales: the classic mathematical toolkit for reasoning about speed before you run.

3.93

245

🧱 Data Structures ⏱️ Algorithm Analysis 🔨 Algorithm Design

Data Structures and Algorithms 91%

Write code that scales: the classic mathematical toolkit for reasoning about speed before you run.

by Alfred V. Aho 1983

3.93

245 ratings

🧱 Data Structures ⏱️ Algorithm Analysis 🔨 Algorithm Design

Data Structures and Algorithms Made Easy

by Narasimha Karumanchi • 2011

Every algorithm problem has multiple solutions. Find the fastest one, step by step.

4.10

1k+

⏱️ Algorithm Analysis 🗃️ Data Structures ✍️ Algorithm Design

Data Structures and Algorithms Made Easy Summary

Data Structures and Algorithms Made Easy 91%

Every algorithm problem has multiple solutions. Find the fastest one, step by step.

by Narasimha Karumanchi 2011

4.10

1k+ ratings

⏱️ Algorithm Analysis 🗃️ Data Structures ✍️ Algorithm Design

Python for Informatics

by Charles Severance • 2002

Learn Python by probing data: scrape the web, query databases, and make the file system obey.

3.99

619

🐍 Python Programming 📘 Introductory Programming ℹ️ Informatics

Python for Informatics 91%

Learn Python by probing data: scrape the web, query databases, and make the file system obey.

by Charles Severance 2002

3.99

619 ratings

🐍 Python Programming 📘 Introductory Programming ℹ️ Informatics

Nine Algorithms That Changed the Future

by John MacCormick • 2012

The hidden algorithms behind search and security, and the one problem no machine can solve.

3.89

2k+

📘 Algorithms Explained 🧠 Computational Thinking 🌐 Digital Infrastructure

Nine Algorithms That Changed the Future Summary

Nine Algorithms That Changed the Future 90%

The hidden algorithms behind search and security, and the one problem no machine can solve.

by John MacCormick 2012

3.89

2k+ ratings

📘 Algorithms Explained 🧠 Computational Thinking 🌐 Digital Infrastructure

Learn CSS in One Day and Learn It Well (Includes HTML5)

by Jamie Chan • 2015

Zero CSS to real web pages in one day: hands-on project that teaches layout and style.

4.06

142

🌐 Web Development 🖥️ Frontend Engineering 🛠️ Learn By Doing

Learn CSS in One Day and Learn It Well (Includes HTML5) Summary

Learn CSS in One Day and Learn It Well (Includes HTML5) 90%

Zero CSS to real web pages in one day: hands-on project that teaches layout and style.

by Jamie Chan 2015

4.06

142 ratings

🌐 Web Development 🖥️ Frontend Engineering 🛠️ Learn By Doing

Threat Modeling

by Adam Shostack • 2014

Draw your software. Mark the trust boundaries. Ask six questions to find flaws before attackers do.

4.07

286

🧩 Threat Modeling 🔒 Software Security ⚠️ Risk Management

Threat Modeling 90%

Draw your software. Mark the trust boundaries. Ask six questions to find flaws before attackers do.

by Adam Shostack 2014

4.07

286 ratings

🧩 Threat Modeling 🔒 Software Security ⚠️ Risk Management

Modern Operating Systems

by Andrew S. Tanenbaum • 1992

From process scheduling to virtual memory, the abstractions that keep your computer from crashing.

4.14

2k+

🖥️ Operating Systems ⚙️ Systems Programming 🧠 Kernel Design

Modern Operating Systems 90%

From process scheduling to virtual memory, the abstractions that keep your computer from crashing.

by Andrew S. Tanenbaum 1992

4.14

2k+ ratings

🖥️ Operating Systems ⚙️ Systems Programming 🧠 Kernel Design

Python for Everybody

by Charles Severance • 2016

Python from motherboard to internet: no prerequisites, no hand-waving, no jargon left unexplained.

4.27

934

🐍 Python Programming 💻 Computer Science Basics 🧱 Coding Fundamentals

Python for Everybody 90%

Python from motherboard to internet: no prerequisites, no hand-waving, no jargon left unexplained.

by Charles Severance 2016

4.27

934 ratings

🐍 Python Programming 💻 Computer Science Basics 🧱 Coding Fundamentals

Introduction to Machine Learning with Python

by Andreas C. Müller • 2015

Build models that generalize, not just memorize: a Python data scientist's guide.

4.33

600

🤖 Applied Machine Learning 📊 Data Science 🏷️ Supervised Learning

Introduction to Machine Learning with Python Summary

Introduction to Machine Learning with Python 90%

Build models that generalize, not just memorize: a Python data scientist's guide.

by Andreas C. Müller 2015

4.33

600 ratings

🤖 Applied Machine Learning 📊 Data Science 🏷️ Supervised Learning

The Design of the UNIX Operating System

by Maurice J. Bach • 1986

What actually happens between the shell prompt and the hardware: the Unix kernel explained.

4.25

605

🖥️ Operating Systems ⚙️ Kernel Design 🔧 Systems Programming

The Design of the UNIX Operating System Summary

The Design of the UNIX Operating System 90%

What actually happens between the shell prompt and the hardware: the Unix kernel explained.

by Maurice J. Bach 1986

4.25

605 ratings

🖥️ Operating Systems ⚙️ Kernel Design 🔧 Systems Programming

Tribe of Hackers

by Marcus J. Carey • 2019

The cybersecurity insight too many ignore: secure your people, not just your network.

3.90

262

👤 Human Element 🔐 Security Fundamentals 🌐 Community Building

Tribe of Hackers 90%

The cybersecurity insight too many ignore: secure your people, not just your network.

by Marcus J. Carey 2019

3.90

262 ratings

👤 Human Element 🔐 Security Fundamentals 🌐 Community Building

Data Structures and Algorithms Made Easy in Java

by Narasimha Karumanchi • 2011

Data structures and algorithms, taught problem by problem in Java. Built for the interview.

4.17

471

🧱 Data Structures 🔧 Algorithm Design 💼 Coding Interviews

Data Structures and Algorithms Made Easy in Java Summary

Data Structures and Algorithms Made Easy in Java 90%

Data structures and algorithms, taught problem by problem in Java. Built for the interview.

by Narasimha Karumanchi 2011

4.17

471 ratings

🧱 Data Structures 🔧 Algorithm Design 💼 Coding Interviews

Operating Systems

by William Stallings • 1991

How UNIX, Linux, and Solaris kernels work inside: from fork() to page faults.

3.72

421

🖥️ Operating Systems 🐧 Unix Internals ⚙️ Kernel Design

Operating Systems 90%

How UNIX, Linux, and Solaris kernels work inside: from fork() to page faults.

by William Stallings 1991

3.72

421 ratings

🖥️ Operating Systems 🐧 Unix Internals ⚙️ Kernel Design

Ansible

by Lorin Hochstein • 2014

No agents required. Automate configuration and deployment with playbooks you can actually read.

3.88

270

🔧 Configuration Management 📋 Infrastructure As Code 🛠️ Devops Tooling

Ansible 90%

No agents required. Automate configuration and deployment with playbooks you can actually read.

by Lorin Hochstein 2014

3.88

270 ratings

🔧 Configuration Management 📋 Infrastructure As Code 🛠️ Devops Tooling

A Common-Sense Guide to Data Structures and Algorithms

by Jay Wengrow • 2017

The algorithm knowledge that turns working code into fast code, explained without the math degree.

4.39

603

🧱 Data Structures ⏱️ Algorithm Analysis 🧠 Algorithmic Thinking

A Common-Sense Guide to Data Structures and Algorithms Summary

A Common-Sense Guide to Data Structures and Algorithms 90%

The algorithm knowledge that turns working code into fast code, explained without the math degree.

by Jay Wengrow 2017

4.39

603 ratings

🧱 Data Structures ⏱️ Algorithm Analysis 🧠 Algorithmic Thinking

Python for Geeks

by Muhammad Asif • 2021

Machine learning from notebook to production: Python libraries, data prep, and deployment paths.

4.50

🐍 Python Programming ⚙️ Machine Learning Engineering 📊 Data Science

Python for Geeks 90%

Machine learning from notebook to production: Python libraries, data prep, and deployment paths.

by Muhammad Asif 2021

4.50

8 ratings

🐍 Python Programming ⚙️ Machine Learning Engineering 📊 Data Science

Exploring Arduino

by Jeremy Blum • 2013

From a blinking LED to a web-connected robot: master Arduino's full range through hands-on projects.

4.28

281

💻 Embedded Programming 🔌 Physical Computing ⚡ Electronics Projects

Exploring Arduino 90%

From a blinking LED to a web-connected robot: master Arduino's full range through hands-on projects.

by Jeremy Blum 2013

4.28

281 ratings

💻 Embedded Programming 🔌 Physical Computing ⚡ Electronics Projects

Practical Statistics for Data Scientists

by Peter Bruce • 2017

The statistical methods data scientists use daily, from boxplots to bootstrap, minus the proofs.

4.02

545

🛠️ Practical Data Science 📈 Applied Statistics 🔍 Exploratory Data Analysis

Practical Statistics for Data Scientists Summary

Practical Statistics for Data Scientists 90%

The statistical methods data scientists use daily, from boxplots to bootstrap, minus the proofs.

by Peter Bruce 2017

4.02

545 ratings

🛠️ Practical Data Science 📈 Applied Statistics 🔍 Exploratory Data Analysis

HTML5

by Mark Pilgrim • 2010

Plugins are dying: video, graphics, and storage now live in the browser itself. Here is how.

3.97

653

🌐 Web Development 💻 Frontend Development 🏷️ Semantic Markup

HTML5 90%

Plugins are dying: video, graphics, and storage now live in the browser itself. Here is how.

by Mark Pilgrim 2010

3.97

653 ratings

🌐 Web Development 💻 Frontend Development 🏷️ Semantic Markup

Google Hacks

by Rael Dornfest • 2003

Hidden syntax, tools, and 800 million Usenet messages: how to find anything with Google.

3.68

301

🔍 Internet Research 🔎 Search Techniques 💻 Hacker Culture

Google Hacks 90%

Hidden syntax, tools, and 800 million Usenet messages: how to find anything with Google.

by Rael Dornfest 2003

3.68

301 ratings

🔍 Internet Research 🔎 Search Techniques 💻 Hacker Culture

Real-World Bug Hunting

by Peter Yaworski • 2019

Twenty classes of web vulnerabilities, how to spot them, and how to write bounty-winning reports.

4.20

143

🛡️ Web Security 🔓 Ethical Hacking 🧪 Penetration Testing

Real-World Bug Hunting 90%

Twenty classes of web vulnerabilities, how to spot them, and how to write bounty-winning reports.

by Peter Yaworski 2019

4.20

143 ratings

🛡️ Web Security 🔓 Ethical Hacking 🧪 Penetration Testing

Understanding Software

by Max Kanat-Alexander • 2017

Code that's easy to write is hard to maintain. Here's how to flip that equation.

3.58

179

🛠️ Software Craftsmanship 🧹 Code Quality 🔍 Debugging Methods

Understanding Software 90%

Code that's easy to write is hard to maintain. Here's how to flip that equation.

by Max Kanat-Alexander 2017

3.58

179 ratings

🛠️ Software Craftsmanship 🧹 Code Quality 🔍 Debugging Methods

Building Secure and Reliable Systems

by Heather Adkins • 2020

Build systems that survive attacks and accidents. Google's framework for reliable, secure software.

3.89

199

🛡️ Software Security 🔧 Site Reliability 🔄 Devops Practices

Building Secure and Reliable Systems Summary

Building Secure and Reliable Systems 90%

Build systems that survive attacks and accidents. Google's framework for reliable, secure software.

by Heather Adkins 2020

3.89

199 ratings

🛡️ Software Security 🔧 Site Reliability 🔄 Devops Practices

Smashing WordPress

by Thord Daniel Hedengren • 2010

Take WordPress beyond blogging with themes, custom post types, and the loop for any site.

3.76

247

🛠️ Wordpress Development 🎨 Theme Building 🔌 Plugin Development

Smashing WordPress 90%

Take WordPress beyond blogging with themes, custom post types, and the loop for any site.

by Thord Daniel Hedengren 2010

3.76

247 ratings

🛠️ Wordpress Development 🎨 Theme Building 🔌 Plugin Development

Once Upon an Algorithm

by Martin Erwig • 2017

What Hansel and Gretel, Sherlock Holmes, and Groundhog Day can teach you about algorithms.

3.63

265

🧠 Computational Thinking 📐 Algorithm Design 📖 Story-Driven Education

Once Upon an Algorithm 90%

What Hansel and Gretel, Sherlock Holmes, and Groundhog Day can teach you about algorithms.

by Martin Erwig 2017

3.63

265 ratings

🧠 Computational Thinking 📐 Algorithm Design 📖 Story-Driven Education

HTML and CSS

by Jon Duckett • 2011

HTML and CSS are the web's building blocks. This visual guide shows you how to lay them.

4.30

5k+

🌐 Web Design 🖥️ Frontend Development ⚖️ Web Standards

HTML and CSS 90%

HTML and CSS are the web's building blocks. This visual guide shows you how to lay them.

by Jon Duckett 2011

4.30

5k+ ratings

🌐 Web Design 🖥️ Frontend Development ⚖️ Web Standards

Designing Data-Intensive Applications

by Martin Kleppmann • 2015

Networks fail, clocks drift, consensus is elusive. The big ideas behind systems that work anyway.

4.70

11k+

🖥️ Distributed Systems 🗄️ Database Design 🤝 Consensus Algorithms

Designing Data-Intensive Applications Summary

Designing Data-Intensive Applications 90%

Networks fail, clocks drift, consensus is elusive. The big ideas behind systems that work anyway.

by Martin Kleppmann 2015

4.70

11k+ ratings

🖥️ Distributed Systems 🗄️ Database Design 🤝 Consensus Algorithms

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