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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
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
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
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
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
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 91%
Digital tools have biases. If you can't read their code, someone else writes your behavior.
by Douglas Rushkoff 2010
3.72
2k+ 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 91%
From transistor to web: the computing stack explained layer by layer, no prerequisites required.
by Matthew Justice 2020
4.35
160 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 91%
Python taught as problem decomposition: mastering variables, functions, and data structures.
by Allen B. Downey 2012
4.13
2k+ 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 91%
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 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
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 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
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 91%
Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.
by Oscar Scratch 2019
3.50
2 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
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 91%
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
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 91%
How a simple switch, a telegraph relay, and Boolean logic became the modern computer.
by Charles Petzold 1999
4.40
11k+ 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 91%
Python for absolute beginners: automate spreadsheets, scrape websites, analyze data step by step.
by MARK CODING 2020
5.00
1 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 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
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 91%
The PC erased a decade of shared computing where users were creators, not customers.
by Joy Lisi Rankin 2018
3.49
193 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 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 90%
Loops, scale, and unfinished products: what computers know that designers must learn.
by John Maeda 2019
3.69
521 ratings
PCs For Dummies
by Dan Gookin • 1992
From plugging it in to fixing it yourself: the manual your PC never came with.
3.57
111
PCs For Dummies Summary
PCs For Dummies 90%
From plugging it in to fixing it yourself: the manual your PC never came with.
by Dan Gookin 1992
3.57
111 ratings
Google Hacks
by Rael Dornfest • 2003
Hidden syntax, tools, and 800 million Usenet messages: how to find anything with Google.
3.68
301
Google Hacks Summary
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
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
A Smarter Way to Learn JavaScript. The new tech-assisted approach that requires half the effort
by Mark Myers • 2013
JavaScript learned through short chapters and immediate coding practice, designed to stick faster.
4.04
624
A Smarter Way to Learn JavaScript. The new tech-assisted approach that requires half the effort Summary
A Smarter Way to Learn JavaScript. The new tech-assisted approach that requires half the effort 90%
JavaScript learned through short chapters and immediate coding practice, designed to stick faster.
by Mark Myers 2013
4.04
624 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 90%
Why great code feels elegant: the answer may lie in ancient Indian aesthetics, not algorithms.
by Vikram Chandra 2013
3.28
1k+ 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
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
Numsense! Data Science for the Layman Summary
Numsense! Data Science for the Layman 90%
Data science without the math: twelve techniques, what they do, and why intuition alone falls short.
by Annalyn Ng 2017
4.14
622 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 90%
What separates great scientists from good ones: they pick better problems.
by Richard W. Hamming 1996
4.18
2k+ ratings
Python Crash Course
by Eric Matthes • 2015
Learn Python through data: plot random walks, map countries, and build interactive charts from zero.
4.35
3k+
Python Crash Course Summary
Python Crash Course 90%
Learn Python through data: plot random walks, map countries, and build interactive charts from zero.
by Eric Matthes 2015
4.35
3k+ ratings
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
Robin Hood Math Summary
Robin Hood Math 90%
Algorithms price your insurance, rank your resume, curate your reality. The math that fights back.
by Noah Giansiracusa 2025
3.91
185 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 90%
Python from motherboard to internet: no prerequisites, no hand-waving, no jargon left unexplained.
by Charles Severance 2016
4.27
934 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
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 90%
From logic gates to assembly code: the layered architecture every computer hides in plain sight.
by Andrew S. Tanenbaum 1976
4.04
591 ratings
How to Speak Tech
by Vinay Trivedi • 2013
No coding required: the Internet, cloud, databases, and software, translated into business sense.
3.93
204
How to Speak Tech Summary
How to Speak Tech 90%
No coding required: the Internet, cloud, databases, and software, translated into business sense.
by Vinay Trivedi 2013
3.93
204 ratings
Tribe of Hackers
by Marcus J. Carey • 2019
The cybersecurity insight too many ignore: secure your people, not just your network.
3.90
262
Tribe of Hackers Summary
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
Linux Basics for Hackers, 2nd Edition
by OccupyTheWeb • 2025
Kali Linux, hacker-style: command the terminal, spoof networks, write attack scripts, stay hidden.
4.50
24
Linux Basics for Hackers, 2nd Edition Summary
Linux Basics for Hackers, 2nd Edition 90%
Kali Linux, hacker-style: command the terminal, spoof networks, write attack scripts, stay hidden.
by OccupyTheWeb 2025
4.50
24 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 90%
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
Python Data Science
by Christopher Wilkinson • 2019
Python taught for data science: syntax, data structures, and the libraries that unlock the field.
2.50
2
Python Data Science Summary
Python Data Science 90%
Python taught for data science: syntax, data structures, and the libraries that unlock the field.
by Christopher Wilkinson 2019
2.50
2 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
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 90%
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
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 90%
Entropy sets the limit. Coding reaches it. Cryptography locks it. One textbook covers all three.
by Ranjan Bose 2002
3.75
162 ratings
Programming the Raspberry Pi
by Simon Monk • 2012
From blinking LED to autonomous rover: a hands-on guide to the Raspberry Pi and Python.
3.82
420
Programming the Raspberry Pi Summary
Programming the Raspberry Pi 90%
From blinking LED to autonomous rover: a hands-on guide to the Raspberry Pi and Python.
by Simon Monk 2012
3.82
420 ratings
Automate the Boring Stuff with Python
by Al Sweigart • 2014
Turn tedious computer work into scripts: spreadsheets, emails, and scraping, taught from zero.
4.28
3k+
Automate the Boring Stuff with Python Summary
Automate the Boring Stuff with Python 90%
Turn tedious computer work into scripts: spreadsheets, emails, and scraping, taught from zero.
by Al Sweigart 2014
4.28
3k+ 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 90%
From requirements to deployment: the systematic approach to building software that lasts.
by Ian Sommerville 1982
3.77
945 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
Learning Technologies
by Mesut Duran • 2022
The real hurdle in education technology isn't access; it's using tools to strengthen learning.
5.00
1
Learning Technologies Summary
Learning Technologies 90%
The real hurdle in education technology isn't access; it's using tools to strengthen learning.
by Mesut Duran 2022
5.00
1 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
PYTHON FOR DATA ANALYSIS
by Ryshith Doyle • 2019
The systematic NumPy and Pandas walkthrough: import, clean, combine, and analyze data in Python.
3.67
6
PYTHON FOR DATA ANALYSIS Summary
PYTHON FOR DATA ANALYSIS 90%
The systematic NumPy and Pandas walkthrough: import, clean, combine, and analyze data in Python.
by Ryshith Doyle 2019
3.67
6 ratings
Neural Network for Beginners
by Sebastian Klaas • 2021
Stop treating neural networks as magic. Build them from scratch in Python, line by line.
5.00
1
Neural Network for Beginners Summary
Neural Network for Beginners 90%
Stop treating neural networks as magic. Build them from scratch in Python, line by line.
by Sebastian Klaas 2021
5.00
1 ratings
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
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
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