50 Books like Python Data Science

Clean Code in Python

by Mariano Anaya • 2018

Python decorators, descriptors, generators: most teams misuse them. Here is the clean way.

4.09

130

🐍 Python Programming 🔨 Software Craftsmanship ✅ Code Quality 🪶 Pythonic Idioms 🧱 Solid Principles

Clean Code in Python 94%

Python decorators, descriptors, generators: most teams misuse them. Here is the clean way.

by Mariano Anaya 2018

4.09

130 ratings

🐍 Python Programming 🔨 Software Craftsmanship ✅ Code Quality 🪶 Pythonic Idioms 🧱 Solid Principles

Confident Data Skills

by Kirill Eremenko • 2018

From messy data to clean insights to persuasive presentations: the process that lands the promotion.

4.12

211

📊 Data Science 📖 Data Literacy 🤖 Machine Learning Basics 📈 Data Visualization 🧹 Data Preparation

Confident Data Skills 93%

From messy data to clean insights to persuasive presentations: the process that lands the promotion.

by Kirill Eremenko 2018

4.12

211 ratings

📊 Data Science 📖 Data Literacy 🤖 Machine Learning Basics 📈 Data Visualization 🧹 Data Preparation

Predictive Analytics For Dummies

by Anasse Bari • 2013

A guide to building models that forecast, classify, and find hidden patterns, without a math degree.

3.74

111

📊 Data Science 🔮 Predictive Modeling 🐥 Beginner Guides 🧹 Data Preparation 🧩 Clustering

Predictive Analytics For Dummies Summary

Predictive Analytics For Dummies 93%

A guide to building models that forecast, classify, and find hidden patterns, without a math degree.

by Anasse Bari 2013

3.74

111 ratings

📊 Data Science 🔮 Predictive Modeling 🐥 Beginner Guides 🧹 Data Preparation 🧩 Clustering

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 93%

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

Two Scoops of Django

by Daniel Roy Greenfeld • 2013

Django gets messy fast. The project structure, query rules, and Unix principle that keep it clean.

4.22

260

💻 Python Web Development 🧩 Django Framework ⚙️ Backend Development ✨ Clean Code 📁 Project Structure

Two Scoops of Django 93%

Django gets messy fast. The project structure, query rules, and Unix principle that keep it clean.

by Daniel Roy Greenfeld 2013

4.22

260 ratings

💻 Python Web Development 🧩 Django Framework ⚙️ Backend Development ✨ Clean Code 📁 Project Structure

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 93%

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

The Complete Software Developer's Career Guide

by John Sonmez • 2017

One language, one portfolio, one interview strategy: the sequence that turns learners into hires.

4.02

1k+

💼 Software Careers 🚪 Breaking Into Tech 🎯 Technical Interviews ⌨️ Learning To Code 🧪 Software Testing

The Complete Software Developer's Career Guide Summary

The Complete Software Developer's Career Guide 92%

One language, one portfolio, one interview strategy: the sequence that turns learners into hires.

by John Sonmez 2017

4.02

1k+ ratings

💼 Software Careers 🚪 Breaking Into Tech 🎯 Technical Interviews ⌨️ Learning To Code 🧪 Software Testing

Data Science

by John D. Kelleher • 2018

Turning raw data into decisions requires a defined process, not just algorithms and statistics.

3.90

876

🔎 Data Mining 🧭 Data Science Methodology 📈 Predictive Modeling 🧩 Unsupervised Learning ⚖️ Data Ethics

Data Science 92%

Turning raw data into decisions requires a defined process, not just algorithms and statistics.

by John D. Kelleher 2018

3.90

876 ratings

🔎 Data Mining 🧭 Data Science Methodology 📈 Predictive Modeling 🧩 Unsupervised Learning ⚖️ Data Ethics

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 92%

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

AI and Machine Learning for Coders

by Laurence Moroney • 2021

Turn your code into AI that runs everywhere: train, optimize, deploy with a single toolkit.

4.09

108

🤖 Machine Learning 🧠 Deep Learning 🔵 Tensorflow 👁️ Computer Vision 💬 Nlp

AI and Machine Learning for Coders Summary

AI and Machine Learning for Coders 92%

Turn your code into AI that runs everywhere: train, optimize, deploy with a single toolkit.

by Laurence Moroney 2021

4.09

108 ratings

🤖 Machine Learning 🧠 Deep Learning 🔵 Tensorflow 👁️ Computer Vision 💬 Nlp

Clean Code

by Robert C. Martin • 2007

Reading code dominates a developer's day; these rules keep your colleagues from cursing your name.

4.35

24k+

🛠️ Software Craftsmanship 📖 Code Readability 🔄 Refactoring ✅ Test-Driven Development ✨ Code Quality

Clean Code 91%

Reading code dominates a developer's day; these rules keep your colleagues from cursing your name.

by Robert C. Martin 2007

4.35

24k+ ratings

🛠️ Software Craftsmanship 📖 Code Readability 🔄 Refactoring ✅ Test-Driven Development ✨ Code Quality

Machine Learning For Absolute Beginners

by Oliver Theobald • 2017

How machine learning algorithms think, from regression to neural networks, no math required.

4.12

474

🧠 Machine Learning 🧹 Data Preparation ⚖️ Model Evaluation 🏷️ Supervised Learning 🌳 Decision Trees

Machine Learning For Absolute Beginners Summary

Machine Learning For Absolute Beginners 91%

How machine learning algorithms think, from regression to neural networks, no math required.

by Oliver Theobald 2017

4.12

474 ratings

🧠 Machine Learning 🧹 Data Preparation ⚖️ Model Evaluation 🏷️ Supervised Learning 🌳 Decision Trees

14 Habits of Highly Productive Developers

by Zeno Rocha • 2020

Fourteen habits for developers who want to stop sprinting and start compounding.

4.00

723

🖥️ Software Engineering 💼 Software Careers 🧱 Code Craftsmanship 📚 Continuous Learning 📣 Learning In Public

14 Habits of Highly Productive Developers Summary

14 Habits of Highly Productive Developers 91%

Fourteen habits for developers who want to stop sprinting and start compounding.

by Zeno Rocha 2020

4.00

723 ratings

🖥️ Software Engineering 💼 Software Careers 🧱 Code Craftsmanship 📚 Continuous Learning 📣 Learning In Public

Coders at Work

by Peter Seibel • 2009

Fifteen master programmers on how they think, debug, and design: the craft in their own words.

3.95

5k+

🧑‍💻 Software Engineering 🎙️ Developer Interviews 🔨 Craft Of Programming 🗣️ Polyglot Programming 🕵️ Hacker Culture

Coders at Work 91%

Fifteen master programmers on how they think, debug, and design: the craft in their own words.

by Peter Seibel 2009

3.95

5k+ ratings

🧑‍💻 Software Engineering 🎙️ Developer Interviews 🔨 Craft Of Programming 🗣️ Polyglot Programming 🕵️ Hacker Culture

Violent Python

by T.J. O'Connor • 2012

Python for security: build your own port scanners, wireless sniffers, and social engineering bots.

4.04

553

🕵️ Penetration Testing 🔍 Digital Forensics 🐍 Python For Security 📶 Wireless Security 🌐 Network Analysis

Violent Python 91%

Python for security: build your own port scanners, wireless sniffers, and social engineering bots.

by T.J. O'Connor 2012

4.04

553 ratings

🕵️ Penetration Testing 🔍 Digital Forensics 🐍 Python For Security 📶 Wireless Security 🌐 Network Analysis

How to Speak Tech

by Vinay Trivedi • 2013

No coding required: the Internet, cloud, databases, and software, translated into business sense.

3.93

204

📖 Tech Literacy 🌐 Web Development ☁️ Cloud Computing 🗄️ Database Management 🔄 Agile Methodology

How to Speak Tech 91%

No coding required: the Internet, cloud, databases, and software, translated into business sense.

by Vinay Trivedi 2013

3.93

204 ratings

📖 Tech Literacy 🌐 Web Development ☁️ Cloud Computing 🗄️ Database Management 🔄 Agile Methodology

The Pragmatic Programmer

by Andy Hunt • 1999

The habits and instincts that turn junior coders into trusted pros: a programmer's survival guide.

4.33

24k+

🧱 Software Craftsmanship 🧹 Code Quality 📚 Continuous Learning 🧪 Test Driven Development 📐 Software Design

The Pragmatic Programmer 91%

The habits and instincts that turn junior coders into trusted pros: a programmer's survival guide.

by Andy Hunt 1999

4.33

24k+ ratings

🧱 Software Craftsmanship 🧹 Code Quality 📚 Continuous Learning 🧪 Test Driven Development 📐 Software Design

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

🏗️ Computer Architecture ⚡ Digital Electronics 🧱 Abstraction Layers 💻 Computing Fundamentals 🔧 How Things Work

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

🏗️ Computer Architecture ⚡ Digital Electronics 🧱 Abstraction Layers 💻 Computing Fundamentals 🔧 How Things Work

Deep Learning

by John D. Kelleher • 2019

Deep learning isn't clever math. It's simple neurons, wired at scale, learning from their mistakes.

3.89

473

🔬 Deep Learning 🧠 Neural Networks 🤖 Machine Learning 📘 Ai Fundamentals 🔗 Connectionism

Deep Learning 91%

Deep learning isn't clever math. It's simple neurons, wired at scale, learning from their mistakes.

by John D. Kelleher 2019

3.89

473 ratings

🔬 Deep Learning 🧠 Neural Networks 🤖 Machine Learning 📘 Ai Fundamentals 🔗 Connectionism

Practices of an Agile Developer

by Venkat Subramaniam • 2006

Clever code breaks teams; clear code lasts. Daily disciplines that turn a coder into a pro.

3.88

1k+

🔄 Agile Software Development 🛠️ Software Craftsmanship 📝 Clean Code 🧪 Test-Driven Development 🔁 Continuous Integration

Practices of an Agile Developer 90%

Clever code breaks teams; clear code lasts. Daily disciplines that turn a coder into a pro.

by Venkat Subramaniam 2006

3.88

1k+ ratings

🔄 Agile Software Development 🛠️ Software Craftsmanship 📝 Clean Code 🧪 Test-Driven Development 🔁 Continuous Integration

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 90%

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

Machine Learning

by Ethem Alpaydin • 2016

From spam filters to self-driving cars: the algorithms that learn from data, and what comes next.

3.62

1k+

🧠 Machine Learning 🕸️ Neural Networks 🔬 Deep Learning 🎮 Reinforcement Learning 📈 Statistical Learning

Machine Learning 90%

From spam filters to self-driving cars: the algorithms that learn from data, and what comes next.

by Ethem Alpaydin 2016

3.62

1k+ ratings

🧠 Machine Learning 🕸️ Neural Networks 🔬 Deep Learning 🎮 Reinforcement Learning 📈 Statistical Learning

ChatGPT for Beginners

by Eric Sarrion • 2023

How to use ChatGPT for emails, translations, and creative work, no AI experience needed.

2.20

🤖 AI Assistants ✍️ Prompt Design ⚡ AI Productivity 📚 AI Literacy 🟢 Beginners

ChatGPT for Beginners 90%

How to use ChatGPT for emails, translations, and creative work, no AI experience needed.

by Eric Sarrion 2023

2.20

5 ratings

🤖 AI Assistants ✍️ Prompt Design ⚡ AI Productivity 📚 AI Literacy 🟢 Beginners

Understanding and Using C Pointers

by Richard Reese • 2013

Pointers are C's sharpest tool. This is how to stop cutting yourself.

4.15

183

🖥️ C Programming 👉 Pointers In C 🧠 Memory Management ⚙️ System Programming 🗄️ Data Structures In C

Understanding and Using C Pointers Summary

Understanding and Using C Pointers 90%

Pointers are C's sharpest tool. This is how to stop cutting yourself.

by Richard Reese 2013

4.15

183 ratings

🖥️ C Programming 👉 Pointers In C 🧠 Memory Management ⚙️ System Programming 🗄️ Data Structures In C

The Road to React

by Robin Wieruch • 2017

Learn React the way it's actually written: hooks-first, project-driven, and tested from day one.

4.21

564

🖥️ Frontend Development 📦 Javascript Ecosystem 🧱 Component-Based Architecture 🔄 State Management 🧪 Software Testing

The Road to React 90%

Learn React the way it's actually written: hooks-first, project-driven, and tested from day one.

by Robin Wieruch 2017

4.21

564 ratings

🖥️ Frontend Development 📦 Javascript Ecosystem 🧱 Component-Based Architecture 🔄 State Management 🧪 Software Testing

The Clean Coder

by Robert C. Martin • 2011

A pro programmer's real job: saying no, keeping promises, staying calm when the build breaks.

4.26

9k+

💼 Developer Conduct 🔨 Software Craftsmanship 💎 Code Quality 🧪 Automated Testing ⏰ Time Management

The Clean Coder 90%

A pro programmer's real job: saying no, keeping promises, staying calm when the build breaks.

by Robert C. Martin 2011

4.26

9k+ ratings

💼 Developer Conduct 🔨 Software Craftsmanship 💎 Code Quality 🧪 Automated Testing ⏰ Time Management

Apprenticeship Patterns

by Dave Hoover • 2009

Promotion pulls coders away from code. The patterns for staying in the craft while still advancing.

4.10

963

🛠️ Software Craftsmanship 🧑‍🏭 Apprenticeship Model 🏋️ Deliberate Practice 🗺️ Pattern Languages 🔄 Feedback Loops

Apprenticeship Patterns 90%

Promotion pulls coders away from code. The patterns for staying in the craft while still advancing.

by Dave Hoover 2009

4.10

963 ratings

🛠️ Software Craftsmanship 🧑‍🏭 Apprenticeship Model 🏋️ Deliberate Practice 🗺️ Pattern Languages 🔄 Feedback Loops

Data Smart

by John W. Foreman • 2013

Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.

4.12

1k+

📊 Spreadsheet Modeling 📈 Business Analytics 🤖 Machine Learning For Managers 🧮 Quantitative Decision Making 🔮 Forecasting Methods

Data Smart 90%

Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.

by John W. Foreman 2013

4.12

1k+ ratings

📊 Spreadsheet Modeling 📈 Business Analytics 🤖 Machine Learning For Managers 🧮 Quantitative Decision Making 🔮 Forecasting Methods

What Are ChatGPT and Its Friends?

by Mike Loukides • 2023

A field guide to large language models: surprising strengths, dangerous blind spots, and real costs.

4.00

🧬 Generative Ai 🤖 Large Language Models ⚖️ Ai Ethics 📡 Tech Explainers 🛠️ Applied Ai

What Are ChatGPT and Its Friends? Summary

What Are ChatGPT and Its Friends? 90%

A field guide to large language models: surprising strengths, dangerous blind spots, and real costs.

by Mike Loukides 2023

4.00

7 ratings

🧬 Generative Ai 🤖 Large Language Models ⚖️ Ai Ethics 📡 Tech Explainers 🛠️ Applied Ai

Becoming a Data Head

by Alex J. Gutman • 2021

The critical thinking toolkit for anyone who works with data but never plans to code.

4.18

480

📊 Data Literacy 📈 Business Analytics 🧠 Statistical Thinking 🔍 Data Skepticism 🤖 Machine Learning Basics

Becoming a Data Head 90%

The critical thinking toolkit for anyone who works with data but never plans to code.

by Alex J. Gutman 2021

4.18

480 ratings

📊 Data Literacy 📈 Business Analytics 🧠 Statistical Thinking 🔍 Data Skepticism 🤖 Machine Learning Basics

Artificial Intelligence For Dummies (For Dummies

by John Paul Mueller • 2018

AI is math, not magic. A plain-English guide to what machine learning can and cannot do.

3.41

242

🤖 Ai For Beginners 📖 Ai Literacy 🎯 Narrow Ai 🧠 Deep Learning ⚖️ Ai Ethics

Artificial Intelligence For Dummies (For Dummies Summary

Artificial Intelligence For Dummies (For Dummies 90%

AI is math, not magic. A plain-English guide to what machine learning can and cannot do.

by John Paul Mueller 2018

3.41

242 ratings

🤖 Ai For Beginners 📖 Ai Literacy 🎯 Narrow Ai 🧠 Deep Learning ⚖️ Ai Ethics

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 90%

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

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 ⚒️ Software Craftsmanship 🧩 Complexity Management

Code Complete 90%

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 ⚒️ Software Craftsmanship 🧩 Complexity 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 🔧 Pragmatic Programming 🧪 Scientific Method

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

🐛 Debugging 🎯 Root Cause Analysis ⚙️ Engineering Mindset 🔧 Pragmatic Programming 🧪 Scientific Method

Artificial Intelligence and Machine Learning for Business

by Steven Finlay • 2018

ML projects fail for business reasons, not technical ones. The rules for getting it right.

4.14

207

🤖 Machine Learning Basics 📊 Predictive Analytics 👔 AI For Managers 📈 Data-Driven Strategy ⚖️ Ethical AI

Artificial Intelligence and Machine Learning for Business Summary

Artificial Intelligence and Machine Learning for Business 90%

ML projects fail for business reasons, not technical ones. The rules for getting it right.

by Steven Finlay 2018

4.14

207 ratings

🤖 Machine Learning Basics 📊 Predictive Analytics 👔 AI For Managers 📈 Data-Driven Strategy ⚖️ Ethical AI

Working Effectively with Legacy Code

by Michael C. Feathers • 2004

Every change is surgery in the dark. The proven, repeatable path to taming an untested codebase.

4.14

5k+

🧓 Legacy Code 🔧 Software Maintenance 🧪 Unit Testing 🔄 Code Refactoring 🎛️ Testability

Working Effectively with Legacy Code Summary

Working Effectively with Legacy Code 90%

Every change is surgery in the dark. The proven, repeatable path to taming an untested codebase.

by Michael C. Feathers 2004

4.14

5k+ ratings

🧓 Legacy Code 🔧 Software Maintenance 🧪 Unit Testing 🔄 Code Refactoring 🎛️ Testability

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 90%

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

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 90%

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 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 ⏳ Spaced Repetition 🐛 Debugging Strategies

The Programmer's Brain 90%

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 ⏳ Spaced Repetition 🐛 Debugging Strategies

ChatGPT Excel Mastery

by Mr Anand M • 2023

ChatGPT translates your questions into Excel formulas, dashboards, and macros you can actually use.

🧮 Excel Proficiency 🤖 Ai Assisted Learning 📊 Data Analysis 📈 Data Visualization ⚙️ Task Automation

ChatGPT Excel Mastery 90%

ChatGPT translates your questions into Excel formulas, dashboards, and macros you can actually use.

by Mr Anand M 2023

🧮 Excel Proficiency 🤖 Ai Assisted Learning 📊 Data Analysis 📈 Data Visualization ⚙️ Task Automation

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 90%

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

Why Data Science Projects Fail

by Douglas Gray • 2024

Eighty percent of AI projects fail. The models work fine; the people, data, and expectations don't.

5.00

📊 Data Science Management 🤖 Ai Implementation ⚙️ Mlops 🧹 Data Quality 🔧 Data Engineering

Why Data Science Projects Fail 90%

Eighty percent of AI projects fail. The models work fine; the people, data, and expectations don't.

by Douglas Gray 2024

5.00

19 ratings

📊 Data Science Management 🤖 Ai Implementation ⚙️ Mlops 🧹 Data Quality 🔧 Data Engineering

Functional Programming in Java

by Venkat Subramaniam • 2013

Cleaner code, less boilerplate, effortless parallelism: the Java 8 lambda and streams playbook.

4.17

226

🧱 Java Development 🔧 Functional Programming ☕ Modern Java 📖 Code Readability 🎨 Design Patterns

Functional Programming in Java 90%

Cleaner code, less boilerplate, effortless parallelism: the Java 8 lambda and streams playbook.

by Venkat Subramaniam 2013

4.17

226 ratings

🧱 Java Development 🔧 Functional Programming ☕ Modern Java 📖 Code Readability 🎨 Design Patterns

AI in the Financial Markets

by Federico Cecconi • 2023

AI finds market patterns invisible to humans, trades on them instantly, and offers no explanation.

📉 Financial Markets 💻 Fintech 🤖 Algorithmic Trading 📊 Quantitative Finance 📡 Alternative Data

AI in the Financial Markets 90%

AI finds market patterns invisible to humans, trades on them instantly, and offers no explanation.

by Federico Cecconi 2023

📉 Financial Markets 💻 Fintech 🤖 Algorithmic Trading 📊 Quantitative Finance 📡 Alternative Data

Soft Skills

by John Sonmez • 2014

The developer's playbook for the non-coding half of the career: brand, negotiate, invest.

3.84

3k+

💻 Software Careers 📣 Personal Branding 📚 Self-Directed Learning ⏱️ Developer Productivity 💰 Financial Independence

Soft Skills 90%

The developer's playbook for the non-coding half of the career: brand, negotiate, invest.

by John Sonmez 2014

3.84

3k+ ratings

💻 Software Careers 📣 Personal Branding 📚 Self-Directed Learning ⏱️ Developer Productivity 💰 Financial Independence

The AI Workshop

by Milo Foster • 2025

AI without code: a plain-English guide to the tools and ideas that put it to work.

4.07

191

🛠️ No-Code Tools 📖 Ai Literacy 🤝 Human-Ai Collaboration 💼 Ai For Business ⚖️ Ai Ethics

The AI Workshop 90%

AI without code: a plain-English guide to the tools and ideas that put it to work.

by Milo Foster 2025

4.07

191 ratings

🛠️ No-Code Tools 📖 Ai Literacy 🤝 Human-Ai Collaboration 💼 Ai For Business ⚖️ Ai Ethics

The Missing README

by Chris Riccomini • 2021

Ship code safely, survive on-call, and manage your boss: the handbook no bootcamp assigns.

4.40

437

🛠️ Software Engineering 🧑‍💻 New Engineers 🧪 Code Quality 🔁 Devops Culture 🔄 Agile Methodologies

The Missing README 90%

Ship code safely, survive on-call, and manage your boss: the handbook no bootcamp assigns.

by Chris Riccomini 2021

4.40

437 ratings

🛠️ Software Engineering 🧑‍💻 New Engineers 🧪 Code Quality 🔁 Devops Culture 🔄 Agile Methodologies

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 90%

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

Intelligent IoT Projects in 7 Days

by Agus Kurniawan • 2017

Build a firefighting robot, a talking speaker, and five more connected devices in one week.

🖥️ Internet Of Things 🔌 Embedded Systems 📚 Project-Based Learning ⚡ Microcontrollers 📡 Sensor Networks

Intelligent IoT Projects in 7 Days Summary

Intelligent IoT Projects in 7 Days 90%

Build a firefighting robot, a talking speaker, and five more connected devices in one week.

by Agus Kurniawan 2017

🖥️ Internet Of Things 🔌 Embedded Systems 📚 Project-Based Learning ⚡ Microcontrollers 📡 Sensor Networks

AI-Assisted Programming

by Tom Taulli • 2024

Turn English into production code. The tools and prompts that ship features in half the time.

3.21

🖥️ Software Development 📝 Prompt Engineering 🤖 Ai-Assisted Coding 🧠 Large Language Models ✨ Generative Ai

AI-Assisted Programming 90%

Turn English into production code. The tools and prompts that ship features in half the time.

by Tom Taulli 2024

3.21

57 ratings

🖥️ Software Development 📝 Prompt Engineering 🤖 Ai-Assisted Coding 🧠 Large Language Models ✨ Generative Ai

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