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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 92%
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
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 92%
What Hansel and Gretel, Sherlock Holmes, and Groundhog Day can teach you about algorithms.
by Martin Erwig 2017
3.63
265 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 92%
A computer calculates and remembers; everything beyond that is what you build with code.
by John V. Guttag 2013
4.22
500 ratings
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 Summary
Computational Thinking 92%
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
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 92%
A method for the part of programming no one teaches: turning ideas into code.
by V. Anton Spraul 2012
3.87
591 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 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
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 92%
Python taught as problem decomposition: mastering variables, functions, and data structures.
by Allen B. Downey 2012
4.13
2k+ 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 92%
A Python-first CS textbook that teaches what computation can do, not just how to code.
by John Zelle 2003
4.02
483 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 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
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 91%
The hidden algorithms behind search and security, and the one problem no machine can solve.
by John MacCormick 2012
3.89
2k+ 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 91%
Loops, scale, and unfinished products: what computers know that designers must learn.
by John Maeda 2019
3.69
521 ratings
The Art of Doing Science and Engineering
by Richard W. Hamming • 1996
What separates great scientists from good ones: they pick better problems.
4.18
2k+
The Art of Doing Science and Engineering Summary
The Art of Doing Science and Engineering 91%
What separates great scientists from good ones: they pick better problems.
by Richard W. Hamming 1996
4.18
2k+ ratings
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
Debugging
by David J. Agans • 2002
Learn to debug like a detective: reproduce the crime, divide the scene, and never guess.
4.26
509
Debugging Summary
Debugging 90%
Learn to debug like a detective: reproduce the crime, divide the scene, and never guess.
by David J. Agans 2002
4.26
509 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 90%
The algorithm knowledge that turns working code into fast code, explained without the math degree.
by Jay Wengrow 2017
4.39
603 ratings
Learn Python 3 the Hard Way
by Zed A. Shaw • 2017
Python without the hand-holding: type every line, debug every error, and build from the terminal up.
3.92
597
Learn Python 3 the Hard Way Summary
Learn Python 3 the Hard Way 90%
Python without the hand-holding: type every line, debug every error, and build from the terminal up.
by Zed A. Shaw 2017
3.92
597 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 90%
Code that breathes: how to build simulations that move, think, and evolve on your screen.
by Daniel Shiffman 2012
4.57
502 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 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
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 90%
Programs are just data structures shaped by algorithms. Master both, and the rest follows.
by Niklaus Wirth 1975
4.24
207 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 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
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 90%
Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.
by Oscar Scratch 2019
3.50
2 ratings
Program or Be Programmed
by Douglas Rushkoff • 2010
Digital tools have biases. If you can't read their code, someone else writes your behavior.
3.72
2k+
Program or Be Programmed Summary
Program or Be Programmed 90%
Digital tools have biases. If you can't read their code, someone else writes your behavior.
by Douglas Rushkoff 2010
3.72
2k+ 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 90%
Coding tricks lose to growth rates. The data structures and guarantees that survive at scale.
by Mark Allen Weiss 2009
3.58
36 ratings
Automate This
by Christopher Steiner • 2012
Algorithms took Wall Street. Now they compose music, allocate kidneys, and profile personalities.
3.82
4k+
Automate This Summary
Automate This 90%
Algorithms took Wall Street. Now they compose music, allocate kidneys, and profile personalities.
by Christopher Steiner 2012
3.82
4k+ ratings
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
How Computers Really Work Summary
How Computers Really Work 90%
From transistor to web: the computing stack explained layer by layer, no prerequisites required.
by Matthew Justice 2020
4.35
160 ratings
Python for Kids
by Jason R. Briggs • 2012
Start with a turtle that draws, end with a game you built yourself. Python for kids.
4.15
582
Python for Kids Summary
Python for Kids 90%
Start with a turtle that draws, end with a game you built yourself. Python for kids.
by Jason R. Briggs 2012
4.15
582 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 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
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
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 89%
Data structures and algorithms, taught problem by problem in Java. Built for the interview.
by Narasimha Karumanchi 2011
4.17
471 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
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
Python Programming for Beginners
by MARK CODING • 2020
Python for absolute beginners: automate spreadsheets, scrape websites, analyze data step by step.
5.00
1
Python Programming for Beginners Summary
Python Programming for Beginners 89%
Python for absolute beginners: automate spreadsheets, scrape websites, analyze data step by step.
by MARK CODING 2020
5.00
1 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
Software Engineering
by Ian Sommerville • 1982
From requirements to deployment: the systematic approach to building software that lasts.
3.77
945
Software Engineering Summary
Software Engineering 89%
From requirements to deployment: the systematic approach to building software that lasts.
by Ian Sommerville 1982
3.77
945 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 89%
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
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 for Informatics Summary
Python for Informatics 89%
Learn Python by probing data: scrape the web, query databases, and make the file system obey.
by Charles Severance 2002
3.99
619 ratings
Computer Power and Human Reason
by Joseph Weizenbaum • 1976
The computer's greatest danger isn't outthinking us; it's that we'll remake ourselves in its image.
4.31
294
Computer Power and Human Reason Summary
Computer Power and Human Reason 89%
The computer's greatest danger isn't outthinking us; it's that we'll remake ourselves in its image.
by Joseph Weizenbaum 1976
4.31
294 ratings
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 for Everybody Summary
Python for Everybody 89%
Python from motherboard to internet: no prerequisites, no hand-waving, no jargon left unexplained.
by Charles Severance 2016
4.27
934 ratings
Code
by Charles Petzold • 1999
How a simple switch, a telegraph relay, and Boolean logic became the modern computer.
4.40
11k+
Code Summary
Code 89%
How a simple switch, a telegraph relay, and Boolean logic became the modern computer.
by Charles Petzold 1999
4.40
11k+ ratings
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
Structured Computer Organization Summary
Structured Computer Organization 89%
From logic gates to assembly code: the layered architecture every computer hides in plain sight.
by Andrew S. Tanenbaum 1976
4.04
591 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 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
A People’s History of Computing in the United States
by Joy Lisi Rankin • 2018
The PC erased a decade of shared computing where users were creators, not customers.
3.49
193
A People’s History of Computing in the United States Summary
A People’s History of Computing in the United States 89%
The PC erased a decade of shared computing where users were creators, not customers.
by Joy Lisi Rankin 2018
3.49
193 ratings
Invent To Learn
by Sylvia Libow Martinez • 2013
How to trade direct instruction for iterative design, physical making, and real student ownership.
4.17
803
Invent To Learn Summary
Invent To Learn 89%
How to trade direct instruction for iterative design, physical making, and real student ownership.
by Sylvia Libow Martinez 2013
4.17
803 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
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
Understanding Software Summary
Understanding Software 89%
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
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 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
An Introduction to General Systems Thinking
by Gerald M. Weinberg • 1975
Stability is not a property of a system but a contract it negotiates with its environment.
3.94
671
An Introduction to General Systems Thinking Summary
An Introduction to General Systems Thinking 89%
Stability is not a property of a system but a contract it negotiates with its environment.
by Gerald M. Weinberg 1975
3.94
671 ratings
Geek Sublime
by Vikram Chandra • 2013
Why great code feels elegant: the answer may lie in ancient Indian aesthetics, not algorithms.
3.28
1k+
Geek Sublime Summary
Geek Sublime 89%
Why great code feels elegant: the answer may lie in ancient Indian aesthetics, not algorithms.
by Vikram Chandra 2013
3.28
1k+ ratings
Head First Python
by Paul Barry • 2010
A brain-friendly Python guide that also dismantles the machinery of mass manipulation.
3.91
559
Head First Python Summary
Head First Python 89%
A brain-friendly Python guide that also dismantles the machinery of mass manipulation.
by Paul Barry 2010
3.91
559 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 89%
Mathematical shortcuts that save time, solve problems, and show you what everyone else overlooks.
by Marcus du Sautoy 2021
3.59
618 ratings
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