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🔢 Coding Theory

Delves into the mathematical and logical foundations underlying computation, exploring what can be computed, how efficiently, and why it matters.
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🔐 Cryptography📦 Data Compression
Information Theory, Coding and Crytography Summary
Information Theory, Coding and Crytography 93%
Entropy sets the limit. Coding reaches it. Cryptography locks it. One textbook covers all three.
by Ranjan Bose 2002
3.75
162 ratings
🧠 Information Theory🔐 Cryptography📦 Data Compression
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
The Nature of Code Summary
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
The Code Book
by Simon Singh • 1999
Wars, empires, and the internet all turn on one ancient problem: how to keep a secret.
4.30
29k+
🔐 History Of Cryptography🔓 Codebreaking🕵️ Wwii Intelligence
The Code Book Summary
The Code Book 89%
Wars, empires, and the internet all turn on one ancient problem: how to keep a secret.
by Simon Singh 1999
4.30
29k+ ratings
🔐 History Of Cryptography🔓 Codebreaking🕵️ Wwii Intelligence
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 89%
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
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 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
🧠 Computational Thinking🧮 Algorithm Design🗂️ Data Structures
Cryptography
by Keith M. Martin • 2020
Your digital life depends on secret math. Who should be able to break it?
3.96
174
🔒 Digital Security🔐 Encryption👁️ Digital Privacy
Cryptography Summary
Cryptography 88%
Your digital life depends on secret math. Who should be able to break it?
by Keith M. Martin 2020
3.96
174 ratings
🔒 Digital Security🔐 Encryption👁️ Digital Privacy
Cryptography
by Fred C. Piper • 2002
A concise guide to the ciphers, keys, and math problems that secure every digital transaction.
3.56
506
🔐 Cryptography Fundamentals🔑 Public Key Cryptography⚙️ Cipher Design
Cryptography Summary
Cryptography 88%
A concise guide to the ciphers, keys, and math problems that secure every digital transaction.
by Fred C. Piper 2002
3.56
506 ratings
🔐 Cryptography Fundamentals🔑 Public Key Cryptography⚙️ Cipher Design
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 88%
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
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
Cracking the Coding Interview Summary
Cracking the Coding Interview 88%
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
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
🧮 Scientific Computing🔄 Data Manipulation📊 Data Visualization
Python for Data Analysis Summary
Python for Data Analysis 88%
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
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 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
📘 Introductory Programming🐍 Python Programming🧮 Algorithm Fundamentals
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 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
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 Summary
Algorithms 88%
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
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 Summary
Understanding Software 88%
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
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 88%
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
Geek Sublime
by Vikram Chandra • 2013
Why great code feels elegant: the answer may lie in ancient Indian aesthetics, not algorithms.
3.28
1k+
💻 Code Aesthetics🌐 Computing Culture🪷 Indian Aesthetics
Geek Sublime Summary
Geek Sublime 88%
Why great code feels elegant: the answer may lie in ancient Indian aesthetics, not algorithms.
by Vikram Chandra 2013
3.28
1k+ ratings
💻 Code Aesthetics🌐 Computing Culture🪷 Indian Aesthetics
The Theory That Would Not Die
by Sharon Bertsch McGrayne • 2011
Statisticians said it was dead. Turing used it to crack Enigma. Computers made it unstoppable.
3.77
3k+
🧮 Bayesian Statistics📜 History Of Mathematics🎲 Probability Theory
The Theory That Would Not Die Summary
The Theory That Would Not Die 88%
Statisticians said it was dead. Turing used it to crack Enigma. Computers made it unstoppable.
by Sharon Bertsch McGrayne 2011
3.77
3k+ ratings
🧮 Bayesian Statistics📜 History Of Mathematics🎲 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
Programming Interviews Exposed Summary
Programming Interviews Exposed 88%
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
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 Summary
Tribe of Hackers 88%
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 88%
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
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 88%
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
Software Engineering for Data Scientists
by Catherine Nelson • 2024
Write code that survives production: the software engineering skills notebooks never taught you.
4.27
48
🏗️ Software Craftsmanship👁️ Code Readability🧩 Modular Design
Software Engineering for Data Scientists Summary
Software Engineering for Data Scientists 88%
Write code that survives production: the software engineering skills notebooks never taught you.
by Catherine Nelson 2024
4.27
48 ratings
🏗️ Software Craftsmanship👁️ Code Readability🧩 Modular Design
The Programmer's Brain
by Felienne Hermans • 2021
Syntax slips overnight; complex code confuses you. The cognitive fix no programming class taught.
3.85
416
📖 Code Comprehension🧠 Cognitive Load🧩 Mental Models
The Programmer's Brain Summary
The Programmer's Brain 88%
Syntax slips overnight; complex code confuses you. The cognitive fix no programming class taught.
by Felienne Hermans 2021
3.85
416 ratings
📖 Code Comprehension🧠 Cognitive Load🧩 Mental Models
Shape
by Jordan Ellenberg • 2021
Geometry is not about triangles. It is the hidden structure of pandemics, search, and democracy.
3.73
2k+
🧮 Popular Mathematics🔗 Network Theory🎲 Randomness And Probability
Shape Summary
Shape 87%
Geometry is not about triangles. It is the hidden structure of pandemics, search, and democracy.
by Jordan Ellenberg 2021
3.73
2k+ ratings
🧮 Popular Mathematics🔗 Network Theory🎲 Randomness And Probability
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
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
🧠 Algorithmic Thinking📚 Programming Pedagogy➗ Divide And Conquer
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 87%
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
The GCHQ Puzzle Book
by GCHQ • 2019
A spy agency's Christmas card puzzle drew half a million solvers. Their full vault is open.
4.02
402
🔐 Cryptography🔓 Codebreaking🧩 Logic Puzzles
The GCHQ Puzzle Book Summary
The GCHQ Puzzle Book 87%
A spy agency's Christmas card puzzle drew half a million solvers. Their full vault is open.
by GCHQ 2019
4.02
402 ratings
🔐 Cryptography🔓 Codebreaking🧩 Logic Puzzles
The Codebreakers
by David Kahn • 1967
The hidden art that read the minds of kings, generals, and spies across four millennia.
4.18
2k+
🔐 History Of Cryptology🔍 Codebreaking📡 Signals Intelligence
The Codebreakers Summary
The Codebreakers 87%
The hidden art that read the minds of kings, generals, and spies across four millennia.
by David Kahn 1967
4.18
2k+ ratings
🔐 History Of Cryptology🔍 Codebreaking📡 Signals Intelligence
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
🐍 Python Programming💻 Learn To Code⌨️ Command Line
Learn Python 3 the Hard Way Summary
Learn Python 3 the Hard Way 87%
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
🐍 Python Programming💻 Learn To Code⌨️ Command Line
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
Think Python Summary
Think Python 87%
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
The Fabric of Reality
by David Deutsch • 1996
Quantum interference reveals other universes touching ours; the multiverse is not optional.
4.14
6k+
⚛️ Quantum Mechanics🌌 Many Worlds💻 Quantum Computation
The Fabric of Reality Summary
The Fabric of Reality 87%
Quantum interference reveals other universes touching ours; the multiverse is not optional.
by David Deutsch 1996
4.14
6k+ ratings
⚛️ Quantum Mechanics🌌 Many Worlds💻 Quantum Computation
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 Summary
Data Structures and Algorithms 87%
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
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
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
🔬 Scientific Engineering🔄 Continuous Delivery🔁 Feedback Loops
Code Complete
by Steve McConnell • 1993
Software construction eats 80 percent of project time and hides most defects. A disciplined craft.
4.30
9k+
📐 Software Engineering🔍 Code Quality🛡️ Defensive Programming
Code Complete Summary
Code Complete 87%
Software construction eats 80 percent of project time and hides most defects. A disciplined craft.
by Steve McConnell 1993
4.30
9k+ ratings
📐 Software Engineering🔍 Code Quality🛡️ Defensive Programming
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 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
🧩 Regular Expressions📝 Text Processing🔍 Pattern Matching
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 Summary
Once Upon an Algorithm 87%
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
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 Summary
Python for Everybody 87%
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
The Psychology of Computer Programming
by Gerald M. Weinberg • 1971
Bugs aren't technical failures but the fingerprints of ego, poor teams, and languages that mislead.
4.06
607
🧠 Software Psychology👥 Programming Teams⚙️ Engineering Management
The Psychology of Computer Programming Summary
The Psychology of Computer Programming 87%
Bugs aren't technical failures but the fingerprints of ego, poor teams, and languages that mislead.
by Gerald M. Weinberg 1971
4.06
607 ratings
🧠 Software Psychology👥 Programming Teams⚙️ Engineering Management
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🎯 Root Cause Analysis⚙️ Engineering Mindset
Debugging Summary
Debugging 87%
Learn to debug like a detective: reproduce the crime, divide the scene, and never guess.
by David J. Agans 2002
4.26
509 ratings
🐛 Debugging🎯 Root Cause Analysis⚙️ Engineering Mindset
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
Rage Inside the Machine Summary
Rage Inside the Machine 87%
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
Learning Go
by Jon Bodner • 2021
Go's power is what it omits. Learn the idioms that keep code readable for decades.
4.42
493
📐 Idiomatic Coding🔀 Concurrency Patterns🏷️ Static Typing
Learning Go Summary
Learning Go 87%
Go's power is what it omits. Learn the idioms that keep code readable for decades.
by Jon Bodner 2021
4.42
493 ratings
📐 Idiomatic Coding🔀 Concurrency Patterns🏷️ Static Typing
Beginning Programming with Python For Dummies
by John Paul Mueller • 2014
Your first Python program: handling data, errors, and control flow without the jargon.
3.61
143
🐍 Python🧑‍💻 Programming Basics📚 Learning To Code
Beginning Programming with Python For Dummies Summary
Beginning Programming with Python For Dummies 87%
Your first Python program: handling data, errors, and control flow without the jargon.
by John Paul Mueller 2014
3.61
143 ratings
🐍 Python🧑‍💻 Programming Basics📚 Learning To Code
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 87%
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
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 87%
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
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
🧩 Systems Theory🔬 Philosophy Of Science🤖 Cybernetics
An Introduction to General Systems Thinking Summary
An Introduction to General Systems Thinking 87%
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
🧩 Systems Theory🔬 Philosophy Of Science🤖 Cybernetics
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+
🧠 Scientific Thinking⚙️ Engineering Practice💻 Computational Thinking
The Art of Doing Science and Engineering Summary
The Art of Doing Science and Engineering 87%
What separates great scientists from good ones: they pick better problems.
by Richard W. Hamming 1996
4.18
2k+ ratings
🧠 Scientific Thinking⚙️ Engineering Practice💻 Computational Thinking
The Cathedral & the Bazaar
by Eric S. Raymond • 1999
Software theory said complexity needs one architect. Linux proved an open bazaar could do it better.
3.83
4k+
🐧 Open Source Movement🏗️ Software Methodology💻 Hacker Culture
The Cathedral & the Bazaar Summary
The Cathedral & the Bazaar 87%
Software theory said complexity needs one architect. Linux proved an open bazaar could do it better.
by Eric S. Raymond 1999
3.83
4k+ ratings
🐧 Open Source Movement🏗️ Software Methodology💻 Hacker Culture
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
Introduction to Algorithms Summary
Introduction to Algorithms 87%
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
Hands-On Quantum Information Processing with Python
by Dr. Makhamisa Senekane • 2021
Python for quantum computing: from qubits to algorithms, cryptography, and machine learning.
4.00
1
⚛️ Quantum Computing💻 Quantum Programming🧮 Quantum Algorithms
Hands-On Quantum Information Processing with Python Summary
Hands-On Quantum Information Processing with Python 87%
Python for quantum computing: from qubits to algorithms, cryptography, and machine learning.
by Dr. Makhamisa Senekane 2021
4.00
1 ratings
⚛️ Quantum Computing💻 Quantum Programming🧮 Quantum Algorithms
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 Summary
Effective Programming 87%
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
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⭐
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We have a special gift for you
Open
38% OFF
DISCOUNT FOR YOU
⭐
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$79.99
$49.99/year
only $4.16 per month
Continue
2 taps to start, super easy to cancel