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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+
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
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
Cracking the Coding Interview Summary
Cracking the Coding Interview 89%
189 interview problems that teach you to think out loud, because code follows from thinking.
by Gayle Laakmann McDowell 2020
4.33
476 ratings
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
Algorithms Summary
Algorithms 89%
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
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+
The Art of Computer Programming, Volume 1 Summary
The Art of Computer Programming, Volume 1 89%
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
Programming Interviews Exposed
by John Mongan • 2000
The data structures coding interviews reuse, and the method for talking through your work.
3.96
1k+
Programming Interviews Exposed Summary
Programming Interviews Exposed 89%
The data structures coding interviews reuse, and the method for talking through your work.
by John Mongan 2000
3.96
1k+ ratings
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 Summary
Algorithm Design 89%
Design algorithms that run fast; recognize the problems that never will; and learn the workarounds.
by Jon Kleinberg 2005
4.17
664 ratings
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+
Computer Science Distilled Summary
Computer Science Distilled 89%
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
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 and Algorithms Summary
Data Structures and Algorithms 89%
Write code that scales: the classic mathematical toolkit for reasoning about speed before you run.
by Alfred V. Aho 1983
3.93
245 ratings
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+
Introduction to Algorithms Summary
Introduction to Algorithms 89%
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
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
A Common-Sense Guide to Data Structures and Algorithms Summary
A Common-Sense Guide to Data Structures and Algorithms 89%
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 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 and Algorithms in Java Summary
Data Structures and Algorithms in Java 88%
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 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 and Algorithms Made Easy in Java Summary
Data Structures and Algorithms Made Easy in Java 88%
Data structures and algorithms, taught problem by problem in Java. Built for the interview.
by Narasimha Karumanchi 2011
4.17
471 ratings
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
Introduction to Computation and Programming Using Python Summary
Introduction to Computation and Programming Using Python 88%
A computer calculates and remembers; everything beyond that is what you build with code.
by John V. Guttag 2013
4.22
500 ratings
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+
Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People Summary
Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People 88%
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
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
36
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
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
Python Programming Summary
Python Programming 88%
A Python-first CS textbook that teaches what computation can do, not just how to code.
by John Zelle 2003
4.02
483 ratings
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+
The Algorithm Design Manual Summary
The Algorithm Design Manual 88%
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
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
Once Upon an Algorithm Summary
Once Upon an Algorithm 88%
What Hansel and Gretel, Sherlock Holmes, and Groundhog Day can teach you about algorithms.
by Martin Erwig 2017
3.63
265 ratings
Object-oriented Programming with C++
by E. Balagurusamy • 1994
Classes, inheritance, templates: C++ tools for building software that scales without falling apart.
3.98
278
Object-oriented Programming with C++ Summary
Object-oriented Programming with C++ 87%
Classes, inheritance, templates: C++ tools for building software that scales without falling apart.
by E. Balagurusamy 1994
3.98
278 ratings
Hadoop
by Tom White • 2009
How to turn cheap servers into a petabyte-scale data platform, from HDFS to real-time streaming.
3.93
1k+
Hadoop Summary
Hadoop 87%
How to turn cheap servers into a petabyte-scale data platform, from HDFS to real-time streaming.
by Tom White 2009
3.93
1k+ ratings
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 Patterns Summary
Game Programming Patterns 87%
The programming patterns that make game code resilient to change, and the ones that don't.
by Robert Nystrom 2011
4.49
2k+ ratings
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+
Mastering Regular Expressions Summary
Mastering Regular Expressions 87%
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
Object-Oriented Software Construction
by Bertrand Meyer • 1988
Before running code, define the contract: how agreements between objects produce reliable software.
4.04
271
Object-Oriented Software Construction Summary
Object-Oriented Software Construction 87%
Before running code, define the contract: how agreements between objects produce reliable software.
by Bertrand Meyer 1988
4.04
271 ratings
Graph Databases
by Ian Robinson • 2013
Relational databases fail on connected data. Graph databases traverse deep links in milliseconds.
3.64
437
Graph Databases Summary
Graph Databases 87%
Relational databases fail on connected data. Graph databases traverse deep links in milliseconds.
by Ian Robinson 2013
3.64
437 ratings
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+
Weapons of Math Destruction Summary
Weapons of Math Destruction 87%
How the algorithms that score your life lock in poverty, deepen racism, and erode democracy.
by Cathy O'Neil 2016
3.87
30k+ ratings
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
Think Like a Programmer Summary
Think Like a Programmer 87%
A method for the part of programming no one teaches: turning ideas into code.
by V. Anton Spraul 2012
3.87
591 ratings
Python for Data Analysis
by Oscar Scratch • 2019
Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.
3.50
2
Python for Data Analysis Summary
Python for Data Analysis 87%
Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.
by Oscar Scratch 2019
3.50
2 ratings
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
Algorithms + Data Structures = Programs Summary
Algorithms + Data Structures = Programs 87%
Programs are just data structures shaped by algorithms. Master both, and the rest follows.
by Niklaus Wirth 1975
4.24
207 ratings
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
Writing High-Performance .NET Code Summary
Writing High-Performance .NET Code 87%
Stop guessing why .NET drags. Measure, master the GC, and fix the real bottlenecks.
by Ben Watson 2014
4.30
291 ratings
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
20
Game Development Patterns and Best Practices Summary
Game Development Patterns and Best Practices 87%
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
Information Theory, Coding and Crytography
by Ranjan Bose • 2002
Entropy sets the limit. Coding reaches it. Cryptography locks it. One textbook covers all three.
3.75
162
Information Theory, Coding and Crytography Summary
Information Theory, Coding and Crytography 87%
Entropy sets the limit. Coding reaches it. Cryptography locks it. One textbook covers all three.
by Ranjan Bose 2002
3.75
162 ratings
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
Everyday Chaos Summary
Everyday Chaos 87%
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
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+
Modern Software Engineering Summary
Modern Software Engineering 87%
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
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+
Algorithms to Live By Summary
Algorithms to Live By 87%
When to settle, when to quit, when to trust chance: computer science already found the answers.
by Brian Christian 2016
4.12
35k+ ratings
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
The Design of the UNIX Operating System Summary
The Design of the UNIX Operating System 87%
What actually happens between the shell prompt and the hardware: the Unix kernel explained.
by Maurice J. Bach 1986
4.25
605 ratings
Thinking Better
by Marcus du Sautoy • 2021
Mathematical shortcuts that save time, solve problems, and show you what everyone else overlooks.
3.59
618
Thinking Better Summary
Thinking Better 87%
Mathematical shortcuts that save time, solve problems, and show you what everyone else overlooks.
by Marcus du Sautoy 2021
3.59
618 ratings
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+
Nine Algorithms That Changed the Future Summary
Nine Algorithms That Changed the Future 87%
The hidden algorithms behind search and security, and the one problem no machine can solve.
by John MacCormick 2012
3.89
2k+ ratings
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
The Ethical Algorithm Summary
The Ethical Algorithm 87%
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
AI for Data Science
by Zacharias Voulgaris • 2018
The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.
4.55
20
AI for Data Science Summary
AI for Data Science 87%
The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.
by Zacharias Voulgaris 2018
4.55
20 ratings
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
The Nature of Code Summary
The Nature of Code 87%
Code that breathes: how to build simulations that move, think, and evolve on your screen.
by Daniel Shiffman 2012
4.57
502 ratings
Bursts
by Albert-László Barabási • 2010
Why your email bursts, your travels repeat, and history rhymes: one hidden law of priority.
3.30
1k+
Bursts Summary
Bursts 87%
Why your email bursts, your travels repeat, and history rhymes: one hidden law of priority.
by Albert-László Barabási 2010
3.30
1k+ ratings
The Mythical Man-Month
by Frederick P. Brooks Jr. • 1975
A late software project plus more programmers equals a later one. The essays that proved it.
4.01
15k+
The Mythical Man-Month Summary
The Mythical Man-Month 87%
A late software project plus more programmers equals a later one. The essays that proved it.
by Frederick P. Brooks Jr. 1975
4.01
15k+ ratings
Linux Kernel Development
by Robert Love • 2003
Linux has no threads, only tasks, and a red-black tree keeps the CPU fair.
4.34
877
Linux Kernel Development Summary
Linux Kernel Development 87%
Linux has no threads, only tasks, and a red-black tree keeps the CPU fair.
by Robert Love 2003
4.34
877 ratings
Functional JavaScript
by Michael Fogus • 2013
Replace loops, mutable state, and nested callbacks with a functional style that composes cleanly.
4.07
429
Functional JavaScript Summary
Functional JavaScript 87%
Replace loops, mutable state, and nested callbacks with a functional style that composes cleanly.
by Michael Fogus 2013
4.07
429 ratings
Shape
by Jordan Ellenberg • 2021
Geometry is not about triangles. It is the hidden structure of pandemics, search, and democracy.
3.73
2k+
Shape Summary
Shape 86%
Geometry is not about triangles. It is the hidden structure of pandemics, search, and democracy.
by Jordan Ellenberg 2021
3.73
2k+ ratings
Complexity
by Melanie Mitchell • 2009
Simple rules produce the complexity of ant colonies, brains, and economies. The science of how.
4.11
4k+
Complexity Summary
Complexity 86%
Simple rules produce the complexity of ant colonies, brains, and economies. The science of how.
by Melanie Mitchell 2009
4.11
4k+ ratings
Computer Systems
by Randal E. Bryant • 2002
Hardware and OS abstractions beneath your code: caching, concurrency, and the full systems stack.
4.46
1k+
Computer Systems Summary
Computer Systems 86%
Hardware and OS abstractions beneath your code: caching, concurrency, and the full systems stack.
by Randal E. Bryant 2002
4.46
1k+ ratings
How to Speak Machine
by John Maeda • 2019
Loops, scale, and unfinished products: what computers know that designers must learn.
3.69
521
How to Speak Machine Summary
How to Speak Machine 86%
Loops, scale, and unfinished products: what computers know that designers must learn.
by John Maeda 2019
3.69
521 ratings
Think Python
by Allen B. Downey • 2012
Python taught as problem decomposition: mastering variables, functions, and data structures.
4.13
2k+
Think Python Summary
Think Python 86%
Python taught as problem decomposition: mastering variables, functions, and data structures.
by Allen B. Downey 2012
4.13
2k+ ratings
The C++ Programming Language
by Bjarne Stroustrup • 1986
Low-level speed meets high-level design. The definitive manual from C++'s creator.
4.10
4k+
The C++ Programming Language Summary
The C++ Programming Language 86%
Low-level speed meets high-level design. The definitive manual from C++'s creator.
by Bjarne Stroustrup 1986
4.10
4k+ ratings
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