📊 Algorithm Optimization

For readers fascinated by the art of making code faster, leaner, and more elegant — these books dive into the craft of squeezing maximum performance from computational processes.

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 🔍 Search Algorithms 📊 Data Sorting

Algorithms 92%

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 🔍 Search Algorithms 📊 Data Sorting

Algorithm Design

by Jon Kleinberg • 2005

Design algorithms that run fast; recognize the problems that never will; and learn the workarounds.

4.17

664

🧮 Algorithm Design ⏱️ Computational Complexity 🕸️ Graph Theory 🧩 Dynamic Programming 🚫 Np Completeness

Algorithm Design 92%

Design algorithms that run fast; recognize the problems that never will; and learn the workarounds.

by Jon Kleinberg 2005

4.17

664 ratings

🧮 Algorithm Design ⏱️ Computational Complexity 🕸️ Graph Theory 🧩 Dynamic Programming 🚫 Np Completeness

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 🔧 Practical Algorithms ⚡ Performance Optimization

A Common-Sense Guide to Data Structures and Algorithms Summary

A Common-Sense Guide to Data Structures and Algorithms 91%

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 🔧 Practical Algorithms ⚡ Performance Optimization

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 🕸️ Graph Algorithms ✏️ Illustrated Guides

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

Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People 90%

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 🕸️ Graph Algorithms ✏️ Illustrated Guides

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 📊 Complexity Theory 💼 Coding Interviews

Data Structures and Algorithms Made Easy Summary

Data Structures and Algorithms Made Easy 90%

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 📊 Complexity Theory 💼 Coding Interviews

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 🔢 Dynamic Programming 🛠️ Practical Algorithms

The Algorithm Design Manual 90%

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 🔢 Dynamic Programming 🛠️ Practical Algorithms

Cracking the Coding Interview

by Gayle Laakmann McDowell • 2020

189 interview problems that teach you to think out loud, because code follows from thinking.

4.33

476

🧑‍💻 Coding Interviews 🧠 Algorithm Problems 🗂️ Data Structures 🧑‍🏫 New Engineers ⏱️ Big O Notation

Cracking the Coding Interview 90%

189 interview problems that teach you to think out loud, because code follows from thinking.

by Gayle Laakmann McDowell 2020

4.33

476 ratings

🧑‍💻 Coding Interviews 🧠 Algorithm Problems 🗂️ Data Structures 🧑‍🏫 New Engineers ⏱️ Big O Notation

Introduction to Algorithms

by Thomas H. Cormen • 1989

Sorting a billion records can take days or seconds, depending on the algorithm, not the processor.

4.35

9k+

📘 Algorithms 🗂️ Data Structures 📊 Algorithm Analysis ✂️ Divide And Conquer 🎲 Randomized Algorithms

Introduction to Algorithms 90%

Sorting a billion records can take days or seconds, depending on the algorithm, not the processor.

by Thomas H. Cormen 1989

4.35

9k+ ratings

📘 Algorithms 🗂️ Data Structures 📊 Algorithm Analysis ✂️ Divide And Conquer 🎲 Randomized Algorithms

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 📐 Mathematical Analysis 🔧 Low-Level Computing

The Art of Computer Programming, Volume 1 Summary

The Art of Computer Programming, Volume 1 90%

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 📐 Mathematical Analysis 🔧 Low-Level Computing

Neural Networks, Fuzzy Logic And Genetic Algorithms

by S. Rajasekaran • 2004

Soft computing's three pillars each have blind spots. This is how they fill each other's gaps.

4.21

151

🖥️ Soft Computing 🧠 Neural Networks 🌫️ Fuzzy Logic 🧬 Genetic Algorithms 🤖 Machine Learning

Neural Networks, Fuzzy Logic And Genetic Algorithms Summary

Neural Networks, Fuzzy Logic And Genetic Algorithms 90%

Soft computing's three pillars each have blind spots. This is how they fill each other's gaps.

by S. Rajasekaran 2004

4.21

151 ratings

🖥️ Soft Computing 🧠 Neural Networks 🌫️ Fuzzy Logic 🧬 Genetic Algorithms 🤖 Machine Learning

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 💡 Language-Agnostic Programming 🔢 Sorting Algorithms

Data Structures and Algorithms 90%

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 💡 Language-Agnostic Programming 🔢 Sorting Algorithms

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 📊 Complexity Analysis 🎲 Probability Theory

Computer Science Distilled 90%

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 📊 Complexity Analysis 🎲 Probability Theory

Programming Interviews Exposed

by John Mongan • 2000

The data structures coding interviews reuse, and the method for talking through your work.

3.96

1k+

🖥️ Coding Interviews 💻 CS Fundamentals 📊 Data Structures 🔢 Algorithm Design ⏱️ Big-O Analysis

Programming Interviews Exposed 90%

The data structures coding interviews reuse, and the method for talking through your work.

by John Mongan 2000

3.96

1k+ ratings

🖥️ Coding Interviews 💻 CS Fundamentals 📊 Data Structures 🔢 Algorithm Design ⏱️ Big-O Analysis

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 📐 Algorithm Design 🗃️ Data Structures

Introduction to Computation and Programming Using Python Summary

Introduction to Computation and Programming Using Python 90%

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 📐 Algorithm Design 🗃️ Data Structures

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 🔓 Accessible Algorithms 🗄️ Data Structures

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 🔓 Accessible Algorithms 🗄️ Data Structures

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 📈 Algorithm Analysis 🧩 Software Design

Data Structures and Algorithms in Java Summary

Data Structures and Algorithms in Java 90%

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 📈 Algorithm Analysis 🧩 Software 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 ⚡ Code Optimization 🤖 Automata Theory

Mastering Regular Expressions 89%

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 ⚡ Code Optimization 🤖 Automata Theory

Algorithms to Live By

by Brian Christian • 2016

When to settle, when to quit, when to trust chance: computer science already found the answers.

4.12

35k+

🧠 Algorithmic Thinking 🔬 Decision Science 📊 Bayesian Reasoning 🧩 Heuristics 💭 Overthinking

Algorithms to Live By 89%

When to settle, when to quit, when to trust chance: computer science already found the answers.

by Brian Christian 2016

4.12

35k+ ratings

🧠 Algorithmic Thinking 🔬 Decision Science 📊 Bayesian Reasoning 🧩 Heuristics 💭 Overthinking

Weapons of Math Destruction

by Cathy O'Neil • 2016

How the algorithms that score your life lock in poverty, deepen racism, and erode democracy.

3.87

30k+

🧩 Algorithmic Bias 📊 Big Data Ethics 🔒 Data Privacy 👮 Predictive Policing ⚖️ Algorithmic Accountability

Weapons of Math Destruction 89%

How the algorithms that score your life lock in poverty, deepen racism, and erode democracy.

by Cathy O'Neil 2016

3.87

30k+ ratings

🧩 Algorithmic Bias 📊 Big Data Ethics 🔒 Data Privacy 👮 Predictive Policing ⚖️ Algorithmic Accountability

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 🤝 Ensemble Methods 📈 Big Data Analytics

AI for Data Science 89%

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 🤝 Ensemble Methods 📈 Big Data Analytics

Thinking Better

by Marcus du Sautoy • 2021

Mathematical shortcuts that save time, solve problems, and show you what everyone else overlooks.

3.59

618

🧮 Mathematical Thinking 🧠 Mental Shortcuts 🔍 Pattern Recognition ⚙️ Optimization 👁️ Visual Thinking

Thinking Better 89%

Mathematical shortcuts that save time, solve problems, and show you what everyone else overlooks.

by Marcus du Sautoy 2021

3.59

618 ratings

🧮 Mathematical Thinking 🧠 Mental Shortcuts 🔍 Pattern Recognition ⚙️ Optimization 👁️ Visual Thinking

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 ☕ Java Programming 📚 Cs Fundamentals

Data Structures and Algorithms Made Easy in Java Summary

Data Structures and Algorithms Made Easy in Java 89%

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 ☕ Java Programming 📚 Cs Fundamentals

The Ethical Algorithm

by Michael Kearns • 2019

Algorithms don't do ethics by default. Making them fair takes math, and the math demands trade-offs.

4.10

671

⚖️ Algorithmic Bias 🔒 Data Privacy 🤖 Ai Ethics 🎲 Game Theory 🔬 Reproducibility Crisis

The Ethical Algorithm 89%

Algorithms don't do ethics by default. Making them fair takes math, and the math demands trade-offs.

by Michael Kearns 2019

4.10

671 ratings

⚖️ Algorithmic Bias 🔒 Data Privacy 🤖 Ai Ethics 🎲 Game Theory 🔬 Reproducibility Crisis

Automate This

by Christopher Steiner • 2012

Algorithms took Wall Street. Now they compose music, allocate kidneys, and profile personalities.

3.82

4k+

📈 Algorithmic Trading 🤖 Automation And Society 💻 Computational Thinking 🏛️ Wall Street History 🔮 Future Of Work

Automate This 89%

Algorithms took Wall Street. Now they compose music, allocate kidneys, and profile personalities.

by Christopher Steiner 2012

3.82

4k+ ratings

📈 Algorithmic Trading 🤖 Automation And Society 💻 Computational Thinking 🏛️ Wall Street History 🔮 Future Of Work

Think Like a Programmer

by V. Anton Spraul • 2012

A method for the part of programming no one teaches: turning ideas into code.

3.87

591

🧠 Algorithmic Thinking 📚 Programming Pedagogy ➗ Divide And Conquer 🗺️ Self-Directed Learning 📐 Planning And Design

Think Like a Programmer 89%

A method for the part of programming no one teaches: turning ideas into code.

by V. Anton Spraul 2012

3.87

591 ratings

🧠 Algorithmic Thinking 📚 Programming Pedagogy ➗ Divide And Conquer 🗺️ Self-Directed Learning 📐 Planning And Design

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 🏗️ Object-Oriented Design 🔄 Software Development

Python Programming 89%

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 🏗️ Object-Oriented Design 🔄 Software Development

High Performance Web Sites

by Steve Souders • 2007

The browser, not the backend, eats your load time. The engineering rules that win it back.

4.15

688

🚀 Web Performance ⚙️ Performance Engineering 📡 HTTP Optimization 💾 Caching Strategies 🌐 Content Delivery Networks

High Performance Web Sites 89%

The browser, not the backend, eats your load time. The engineering rules that win it back.

by Steve Souders 2007

4.15

688 ratings

🚀 Web Performance ⚙️ Performance Engineering 📡 HTTP Optimization 💾 Caching Strategies 🌐 Content Delivery Networks

Rage Inside the Machine

by Robert Elliott Smith • 2019

Algorithms reduce reality to neat categories. Prejudice is not a bug but the predictable exhaust.

3.97

145

🧩 Algorithmic Bias 🤖 AI Ethics 💻 Tech Criticism 🎲 History Of Probability 🕸️ Complex Systems

Rage Inside the Machine 89%

Algorithms reduce reality to neat categories. Prejudice is not a bug but the predictable exhaust.

by Robert Elliott Smith 2019

3.97

145 ratings

🧩 Algorithmic Bias 🤖 AI Ethics 💻 Tech Criticism 🎲 History Of Probability 🕸️ Complex Systems

Robin Hood Math

by Noah Giansiracusa • 2025

Algorithms price your insurance, rank your resume, curate your reality. The math that fights back.

3.91

185

🧮 Algorithmic Literacy 🛡️ Digital Self-Defense 📐 Applied Mathematics 📊 Bayesian Reasoning 📉 Everyday Statistics

Robin Hood Math 89%

Algorithms price your insurance, rank your resume, curate your reality. The math that fights back.

by Noah Giansiracusa 2025

3.91

185 ratings

🧮 Algorithmic Literacy 🛡️ Digital Self-Defense 📐 Applied Mathematics 📊 Bayesian Reasoning 📉 Everyday Statistics

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 📄 Text Mining ⛏️ Data Mining

Algorithms of the Intelligent Web Summary

Algorithms of the Intelligent Web 89%

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 📄 Text Mining ⛏️ Data Mining

The Nature of Code

by Daniel Shiffman • 2012

Code that breathes: how to build simulations that move, think, and evolve on your screen.

4.57

502

🎨 Creative Coding 🖼️ Generative Art 🟩 Cellular Automata ❄️ Fractal Geometry 🧬 Genetic Algorithms

The Nature of Code 89%

Code that breathes: how to build simulations that move, think, and evolve on your screen.

by Daniel Shiffman 2012

4.57

502 ratings

🎨 Creative Coding 🖼️ Generative Art 🟩 Cellular Automata ❄️ Fractal Geometry 🧬 Genetic Algorithms

Writing High-Performance .NET Code

by Ben Watson • 2014

Stop guessing why .NET drags. Measure, master the GC, and fix the real bottlenecks.

4.30

291

💻 .Net Development ⚡ Performance Tuning 💾 Memory Management 🔄 Asynchronous Programming 📊 Code Profiling

Writing High-Performance .NET Code Summary

Writing High-Performance .NET Code 89%

Stop guessing why .NET drags. Measure, master the GC, and fix the real bottlenecks.

by Ben Watson 2014

4.30

291 ratings

💻 .Net Development ⚡ Performance Tuning 💾 Memory Management 🔄 Asynchronous Programming 📊 Code Profiling

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 💻 How Computers Work 🕰️ Computer Science History

Nine Algorithms That Changed the Future Summary

Nine Algorithms That Changed the Future 89%

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 💻 How Computers Work 🕰️ Computer Science History

The Art of SEO

by Eric Enge • 2009

Master the link graph: why relevance, trust, and timing matter more than the vote count alone.

4.10

923

🖥️ Search Engine Optimization 📈 Digital Marketing 🔗 Link Building 🔍 Search Algorithms 🤍 White Hat Seo

The Art of SEO 88%

Master the link graph: why relevance, trust, and timing matter more than the vote count alone.

by Eric Enge 2009

4.10

923 ratings

🖥️ Search Engine Optimization 📈 Digital Marketing 🔗 Link Building 🔍 Search Algorithms 🤍 White Hat Seo

Data Structures and Problem Solving Using Java

by Mark Allen Weiss • 2009

Coding tricks lose to growth rates. The data structures and guarantees that survive at scale.

3.58

🏗️ Data Structures 🧠 Algorithmic Thinking 🕸️ Graph Algorithms 🔄 Recursion 🧱 Object Oriented Design

Data Structures and Problem Solving Using Java Summary

Data Structures and Problem Solving Using Java 88%

Coding tricks lose to growth rates. The data structures and guarantees that survive at scale.

by Mark Allen Weiss 2009

3.58

36 ratings

🏗️ Data Structures 🧠 Algorithmic Thinking 🕸️ Graph Algorithms 🔄 Recursion 🧱 Object Oriented Design

Everyday Chaos

by David Weinberger • 2019

A medical AI diagnoses illness but can't explain how. The age of demanding explanations is over.

3.78

202

🔬 Complexity Science 🔄 Systems Thinking 🤖 Machine Learning 💻 Digital Strategy 🔓 Open Platforms

Everyday Chaos 88%

A medical AI diagnoses illness but can't explain how. The age of demanding explanations is over.

by David Weinberger 2019

3.78

202 ratings

🔬 Complexity Science 🔄 Systems Thinking 🤖 Machine Learning 💻 Digital Strategy 🔓 Open Platforms

Numsense! Data Science for the Layman

by Annalyn Ng • 2017

Data science without the math: twelve techniques, what they do, and why intuition alone falls short.

4.14

622

🧠 Data Literacy 🤖 Machine Learning Basics 📈 Predictive Analytics 📊 Data-Driven Decisions 📘 Technical Primers

Numsense! Data Science for the Layman Summary

Numsense! Data Science for the Layman 88%

Data science without the math: twelve techniques, what they do, and why intuition alone falls short.

by Annalyn Ng 2017

4.14

622 ratings

🧠 Data Literacy 🤖 Machine Learning Basics 📈 Predictive Analytics 📊 Data-Driven Decisions 📘 Technical Primers

Game Programming Patterns

by Robert Nystrom • 2011

The programming patterns that make game code resilient to change, and the ones that don't.

4.49

2k+

🎮 Game Programming 🧩 Design Patterns 🏗️ Software Architecture ⚡ Performance Optimization 🔗 Decoupling

Game Programming Patterns 88%

The programming patterns that make game code resilient to change, and the ones that don't.

by Robert Nystrom 2011

4.49

2k+ ratings

🎮 Game Programming 🧩 Design Patterns 🏗️ Software Architecture ⚡ Performance Optimization 🔗 Decoupling

Game Development Patterns and Best Practices

by John P. Doran • 2017

Design patterns that ship games: when to use each and how they prevent late-stage collapse.

3.90

🎮 Game Development 🧩 Design Patterns 🧹 Clean Code 🏗️ Software Architecture ⚡ Performance Optimization

Game Development Patterns and Best Practices Summary

Game Development Patterns and Best Practices 88%

Design patterns that ship games: when to use each and how they prevent late-stage collapse.

by John P. Doran 2017

3.90

20 ratings

🎮 Game Development 🧩 Design Patterns 🧹 Clean Code 🏗️ Software Architecture ⚡ Performance Optimization

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 🧩 Modular Design 🐛 Debugging Practices

Algorithms + Data Structures = Programs Summary

Algorithms + Data Structures = Programs 88%

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 🧩 Modular Design 🐛 Debugging Practices

The Art of SQL

by Stephane Faroult • 2006

SQL performance lives in the gap between relational theory and disk reality.

3.98

170

🗄️ Database Design 🚀 Query Optimization 🏭 Data Warehousing 📐 Relational Theory 🔍 Indexing Strategies

The Art of SQL 88%

SQL performance lives in the gap between relational theory and disk reality.

by Stephane Faroult 2006

3.98

170 ratings

🗄️ Database Design 🚀 Query Optimization 🏭 Data Warehousing 📐 Relational Theory 🔍 Indexing Strategies

Think Python

by Allen B. Downey • 2012

Python taught as problem decomposition: mastering variables, functions, and data structures.

4.13

2k+

🐍 Python Programming 🧱 Programming Fundamentals 🧠 Computational Thinking 🌱 Beginner Programmers 📐 Code Design

Think Python 88%

Python taught as problem decomposition: mastering variables, functions, and data structures.

by Allen B. Downey 2012

4.13

2k+ ratings

🐍 Python Programming 🧱 Programming Fundamentals 🧠 Computational Thinking 🌱 Beginner Programmers 📐 Code Design

Modern Software Engineering

by David Farley • 2021

Software is not a craft; it's a science. The discipline that turns teams into learning machines.

4.16

1k+

🔬 Scientific Engineering 🔄 Continuous Delivery 🔁 Feedback Loops 🧱 Modularity 🧪 Testability

Modern Software Engineering 88%

Software is not a craft; it's a science. The discipline that turns teams into learning machines.

by David Farley 2021

4.16

1k+ ratings

🔬 Scientific Engineering 🔄 Continuous Delivery 🔁 Feedback Loops 🧱 Modularity 🧪 Testability

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 ⚙️ Algorithm Guides 📖 Code Reference

Learning OpenCV 88%

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 ⚙️ Algorithm Guides 📖 Code Reference

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 ⚙️ Software Engineering 🧠 Algorithmic Thinking

Computational Thinking 88%

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 ⚙️ Software Engineering 🧠 Algorithmic Thinking

The Master Algorithm

by Pedro Domingos • 2015

Machine learning's rival schools share a hidden core. Finding it could unlock general intelligence.

3.73

6k+

🤖 Machine Learning 📚 Popular Science 🧠 Superintelligence 📊 Big Data ⚖️ Ai Ethics

The Master Algorithm 88%

Machine learning's rival schools share a hidden core. Finding it could unlock general intelligence.

by Pedro Domingos 2015

3.73

6k+ ratings

🤖 Machine Learning 📚 Popular Science 🧠 Superintelligence 📊 Big Data ⚖️ Ai Ethics

Designing Machine Learning Systems

by Chip Huyen • 2022

Accuracy is not enough. An iterative playbook for machine learning systems that survive production.

4.45

1k+

⚙️ Machine Learning Engineering 🔧 Mlops 🔄 Iterative Design 📋 Reproducible Ml 🤝 Ensemble Learning

Designing Machine Learning Systems Summary

Designing Machine Learning Systems 88%

Accuracy is not enough. An iterative playbook for machine learning systems that survive production.

by Chip Huyen 2022

4.45

1k+ ratings

⚙️ Machine Learning Engineering 🔧 Mlops 🔄 Iterative Design 📋 Reproducible Ml 🤝 Ensemble Learning

How to Speak Machine

by John Maeda • 2019

Loops, scale, and unfinished products: what computers know that designers must learn.

3.69

521

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Loops, scale, and unfinished products: what computers know that designers must learn.

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by Cindyanne Kershaw • 2006

Seen enough options? There is a mathematically optimal moment to stop looking and commit.

4.50

💻 Applied Computer Science 🔬 Science-Based Self-Help 🤔 Rational Decision Making 📊 Bayesian Reasoning 🎲 Game Theory Applications

My Good Grief 88%

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The perceptron flopped but the math stayed: the linear algebra and calculus that built the AI age.

by Anil Ananthaswamy 2024

4.38

1k+ ratings

📜 History Of Ai 🧬 Deep Learning 🧠 Neural Network Theory 📐 Linear Algebra 🔢 Mathematical Foundations

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