Информатика

Цифровой мир алгоритмов, сетей и элегантного кода оживает благодаря экспертным руководствам, охватывающим как фундаментальные концепции, так и передовые инновации. Будь то исследование философских аспектов теории сложности или освоение практических навыков веб-разработки и программной инженерии, эти книги раскрывают невидимую архитектуру, на которой держится наш современный мир.

Информатика Саммари книг

AI-Assisted Programming

— 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

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

— Tom Taulli 2024 222 стр.

3.21

57 оценок

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

Kubernetes in Action

— Marko Luksa • 2017

Why restart containers manually? One declarative system handles deployment, scaling, and recovery.

4.59

500+

🐳 Container Orchestration ☁️ Cloud Native ⚙️ Infrastructure As Code 🚀 Software Deployment 🔗 Distributed Systems

Kubernetes in Action

Why restart containers manually? One declarative system handles deployment, scaling, and recovery.

— Marko Luksa 2017 624 стр.

4.59

500+ оценок

🐳 Container Orchestration ☁️ Cloud Native ⚙️ Infrastructure As Code 🚀 Software Deployment 🔗 Distributed Systems

Possible Minds

— John Brockman • 2019

Twenty-five thinkers on AI's biggest risks and the one design question that matters most.

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500+

🤖 Ai Ethics ⚙️ Ai Alignment 🔄 Cybernetics 🤝 Human-Ai Interaction ⚖️ Algorithmic Bias

Possible Minds

Twenty-five thinkers on AI's biggest risks and the one design question that matters most.

— John Brockman 2019 320 стр.

3.77

500+ оценок

🤖 Ai Ethics ⚙️ Ai Alignment 🔄 Cybernetics 🤝 Human-Ai Interaction ⚖️ Algorithmic Bias

The Internet of Money, Volume Two

— Andreas M. Antonopoulos • 2017

Money can now be code: borderless, programmable, and controlled by math instead of institutions.

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💰 Cryptocurrency ⛓️ Blockchain Technology 🔗 Decentralization 📜 Monetary History 🔐 Financial Sovereignty

The Internet of Money, Volume Two

Money can now be code: borderless, programmable, and controlled by math instead of institutions.

— Andreas M. Antonopoulos 2017 134 стр.

4.27

1 000+ оценок

💰 Cryptocurrency ⛓️ Blockchain Technology 🔗 Decentralization 📜 Monetary History 🔐 Financial Sovereignty

The Age of A.I. and Our Human Future

— Henry Kissinger • 2021

Old rules of knowledge, power, and war were built for humans. AI is rewriting them.

3.43

5 000+

🤖 Machine Learning 🌐 Tech Geopolitics ⚖️ Ai Ethics 🚀 Autonomous Weapons 🐽 Ai Governance

The Age of A.I. and Our Human Future

Old rules of knowledge, power, and war were built for humans. AI is rewriting them.

— Henry Kissinger 2021 205 стр.

3.43

5 000+ оценок

🤖 Machine Learning 🌐 Tech Geopolitics ⚖️ Ai Ethics 🚀 Autonomous Weapons 🐽 Ai Governance

JavaScript

— Douglas Crockford • 2008

JavaScript's worst features are well known. The map to its elegant, reliable core.

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📜 Javascript ✅ Coding Best Practices 🧠 Functional Programming 🎨 Javascript Patterns ⚠️ Language Pitfalls

JavaScript

JavaScript's worst features are well known. The map to its elegant, reliable core.

— Douglas Crockford 2008 153 стр.

4.23

8 000+ оценок

📜 Javascript ✅ Coding Best Practices 🧠 Functional Programming 🎨 Javascript Patterns ⚠️ Language Pitfalls

Artificial Intelligence

— Harvard Business Review • 2019

Thirteen trillion dollars in AI-driven growth by 2030. The strategy for capturing it.

3.93

449

♟️ Ai Strategy 🤖 Machine Learning 🤝 Human-Ai Collaboration 🚀 Ai Adoption 👥 Workforce Transformation

Artificial Intelligence

Thirteen trillion dollars in AI-driven growth by 2030. The strategy for capturing it.

— Harvard Business Review 2019 182 стр.

3.93

449 оценок

♟️ Ai Strategy 🤖 Machine Learning 🤝 Human-Ai Collaboration 🚀 Ai Adoption 👥 Workforce Transformation

Tools and Weapons

— Brad Smith • 2019

Tech weaponized your data, your vote, your face. An insider's plan to take them back.

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🏛️ Tech Policy 🔒 Privacy Rights 🛡️ Cybersecurity 🤖 Ai Ethics 🌐 Digital Divide

Tools and Weapons

Tech weaponized your data, your vote, your face. An insider's plan to take them back.

— Brad Smith 2019 368 стр.

3.85

1 000+ оценок

🏛️ Tech Policy 🔒 Privacy Rights 🛡️ Cybersecurity 🤖 Ai Ethics 🌐 Digital Divide

Computer Systems

— Randal E. Bryant • 2002

Hardware and OS abstractions beneath your code: caching, concurrency, and the full systems stack.

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🏛️ Computer Architecture ⚙️ Systems Programming 🖥️ Operating Systems 🔢 Data Representation 🏎️ Performance Tuning

Computer Systems

Hardware and OS abstractions beneath your code: caching, concurrency, and the full systems stack.

— Randal E. Bryant 2002 978 стр.

4.46

1 000+ оценок

🏛️ Computer Architecture ⚙️ Systems Programming 🖥️ Operating Systems 🔢 Data Representation 🏎️ Performance Tuning

Data Analytics Made Accessible

— Anil Maheshwari • 2014

Every analytics technique a manager needs, from decision trees to big data, mapped and demystified.

3.76

323

🧱 Data Analytics 📊 Business Intelligence ⛏️ Data Mining 📈 Data Visualization 🔮 Predictive Analytics

Data Analytics Made Accessible

Every analytics technique a manager needs, from decision trees to big data, mapped and demystified.

— Anil Maheshwari 2014 454 стр.

3.76

323 оценок

🧱 Data Analytics 📊 Business Intelligence ⛏️ Data Mining 📈 Data Visualization 🔮 Predictive Analytics

Penetration Testing

— Georgia Weidman • 2014

Adopt an attacker's mindset and execute a full penetration test from recon to reporting, hands-on.

4.18

398

🔐 Penetration Testing 🌐 Network Security 🐧 Kali Linux 💣 Exploit Development 🎭 Social Engineering

Penetration Testing

Adopt an attacker's mindset and execute a full penetration test from recon to reporting, hands-on.

— Georgia Weidman 2014 528 стр.

4.18

398 оценок

🔐 Penetration Testing 🌐 Network Security 🐧 Kali Linux 💣 Exploit Development 🎭 Social Engineering

Практический анализ временных рядов

— Эйлин Нильсен • 2019

When ARIMA beats deep learning, and when it doesn't: the pipeline from cleaning to prediction.

3.77

📈 Time Series Analysis 🔧 Feature Engineering 🧹 Data Preparation ⚙️ Machine Learning Pipelines 📊 Statistical Learning

Практический анализ временных рядов

When ARIMA beats deep learning, and when it doesn't: the pipeline from cleaning to prediction.

— Эйлин Нильсен 2019 497 стр.

3.77

64 оценок

📈 Time Series Analysis 🔧 Feature Engineering 🧹 Data Preparation ⚙️ Machine Learning Pipelines 📊 Statistical Learning

Functional JavaScript

— Michael Fogus • 2013

Replace loops, mutable state, and nested callbacks with a functional style that composes cleanly.

4.07

429

🧑‍💻 Functional Programming 📜 Javascript 🔒 Immutability 🔗 Function Composition 🔁 Recursion

Functional JavaScript

Replace loops, mutable state, and nested callbacks with a functional style that composes cleanly.

— Michael Fogus 2013 258 стр.

4.07

429 оценок

🧑‍💻 Functional Programming 📜 Javascript 🔒 Immutability 🔗 Function Composition 🔁 Recursion

The Little Book of Deep Learning

— François Fleuret • 2023

The machinery of deep learning, compressed: gradient descent, backprop, and attention.

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151

🧠 Deep Learning 🔧 Model Architectures ⚡ Hardware Acceleration 📚 Supervised Learning 🎨 Generative Models

The Little Book of Deep Learning

The machinery of deep learning, compressed: gradient descent, backprop, and attention.

— François Fleuret 2023 168 стр.

4.32

151 оценок

🧠 Deep Learning 🔧 Model Architectures ⚡ Hardware Acceleration 📚 Supervised Learning 🎨 Generative Models

SPSS Survival Manual

— Julie Pallant • 2001

Your SPSS survival guide: plain-English steps from data entry to ANOVA, no stats panic required.

4.11

372

💻 Statistical Software 📋 Research Methods 📏 Scale Development 📈 Regression Analysis 🧩 Factor Analysis

SPSS Survival Manual

Your SPSS survival guide: plain-English steps from data entry to ANOVA, no stats panic required.

— Julie Pallant 2001 352 стр.

4.11

372 оценок

💻 Statistical Software 📋 Research Methods 📏 Scale Development 📈 Regression Analysis 🧩 Factor Analysis

Kingpin

— Kevin Poulsen • 2011

Max Butler was the FBI's secret weapon. Then he conquered the credit card underground.

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8 000+

🖥️ Cybercrime 💻 Computer Hacking 🕵️ Hacker Biography 🌐 Dark Web 🕵️‍♂️ Undercover Operations

Kingpin

Max Butler was the FBI's secret weapon. Then he conquered the credit card underground.

— Kevin Poulsen 2011 288 стр.

3.97

8 000+ оценок

🖥️ Cybercrime 💻 Computer Hacking 🕵️ Hacker Biography 🌐 Dark Web 🕵️‍♂️ Undercover Operations

A Composer's Guide to Game Music

— Winifred Phillips • 2014

Game music bends to the player. The craft, technology, and business behind interactive scores.

4.21

175

🎮 Game Music Composition 🎧 Interactive Audio 🔄 Adaptive Music 💻 Music Technology 💼 Music Business

A Composer's Guide to Game Music

Game music bends to the player. The craft, technology, and business behind interactive scores.

— Winifred Phillips 2014 275 стр.

4.21

175 оценок

🎮 Game Music Composition 🎧 Interactive Audio 🔄 Adaptive Music 💻 Music Technology 💼 Music Business

Build a Large Language Model

— Sebastian Raschka • 2025

Skip expensive pretraining. Build a working LLM from GPT-2 and teach it to follow instructions.

4.60

356

🧠 Large Language Models 🗣️ Natural Language Processing 🏗️ Transformer Architectures 🔄 Self-Supervised Learning 🎯 Model Fine-Tuning

Build a Large Language Model

Skip expensive pretraining. Build a working LLM from GPT-2 and teach it to follow instructions.

— Sebastian Raschka 2025 400 стр.

4.60

356 оценок

🧠 Large Language Models 🗣️ Natural Language Processing 🏗️ Transformer Architectures 🔄 Self-Supervised Learning 🎯 Model Fine-Tuning

Fermat's Enigma

— Simon Singh • 1998

150 years, countless geniuses, one unproven hunch about primes, and a million dollars waiting.

4.3

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🔢 Prime Numbers 📜 History Of Mathematics ❓ Unsolved Problems 🏔️ Mathematical Quests 🔐 Cryptography

Fermat's Enigma

150 years, countless geniuses, one unproven hunch about primes, and a million dollars waiting.

— Simon Singh 1998 315 стр.

4.3

33 000+ оценок

🔢 Prime Numbers 📜 History Of Mathematics ❓ Unsolved Problems 🏔️ Mathematical Quests 🔐 Cryptography

Computer Networking

— James F. Kurose • 2000

From the web page down to the wire: how the internet's five protocol layers actually work.

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🌐 Computer Networking 🏗️ Internet Architecture 📚 Protocol Layers ⏱️ Network Performance 📡 Data Communications

Computer Networking

From the web page down to the wire: how the internet's five protocol layers actually work.

— James F. Kurose 2000 880 стр.

4.08

2 000+ оценок

🌐 Computer Networking 🏗️ Internet Architecture 📚 Protocol Layers ⏱️ Network Performance 📡 Data Communications

Debugging

— David J. Agans • 2002

Learn to debug like a detective: reproduce the crime, divide the scene, and never guess.

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500+

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

Debugging

Learn to debug like a detective: reproduce the crime, divide the scene, and never guess.

— David J. Agans 2002 192 стр.

4.26

500+ оценок

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

Practical Packet Analysis

— Chris Sanders • 2007

Slow network, DNS failures, intruders: Wireshark finds the cause when dashboards cannot.

4.10

431

📦 Packet Analysis 🔧 Network Troubleshooting 🦈 Wireshark 🔎 Network Forensics 🌐 TCP/IP

Practical Packet Analysis

Slow network, DNS failures, intruders: Wireshark finds the cause when dashboards cannot.

— Chris Sanders 2007 192 стр.

4.10

431 оценок

📦 Packet Analysis 🔧 Network Troubleshooting 🦈 Wireshark 🔎 Network Forensics 🌐 TCP/IP

Salesforce Data Architecture and Management

— Ahsan Zafar • 2021

A million records in Salesforce will break your org. The architecture rules that stop it.

3.33

🏢 Salesforce Platform 🏗️ Data Architecture 📊 Data Management ⚡ Query Optimization 🛡️ Data Governance

Salesforce Data Architecture and Management

A million records in Salesforce will break your org. The architecture rules that stop it.

— Ahsan Zafar 2021 376 стр.

3.33

3 оценок

🏢 Salesforce Platform 🏗️ Data Architecture 📊 Data Management ⚡ Query Optimization 🛡️ Data Governance

Beyond the Basic Stuff with Python

— Al Sweigart • 2020

Stop guessing at style: the tools and idioms that turn working Python into professional code.

4.27

239

🐍 Python Programming 🧼 Clean Code ⚡ Performance Tuning 🐛 Debugging 🧩 Pythonic Idioms

Beyond the Basic Stuff with Python

Stop guessing at style: the tools and idioms that turn working Python into professional code.

— Al Sweigart 2020 384 стр.

4.27

239 оценок

🐍 Python Programming 🧼 Clean Code ⚡ Performance Tuning 🐛 Debugging 🧩 Pythonic Idioms

The Mind’s I

— Douglas R. Hofstadter • 1981

Borges, Turing, a headless mystic: the anthology where the self dissolves one essay at a time.

4.15

5 000+

🧠 Philosophy Of Mind 👁️ Consciousness Studies 🤖 Artificial Intelligence 🔬 Cognitive Science 💭 Thought Experiments

The Mind’s I

Borges, Turing, a headless mystic: the anthology where the self dissolves one essay at a time.

— Douglas R. Hofstadter 1981 512 стр.

4.15

5 000+ оценок

🧠 Philosophy Of Mind 👁️ Consciousness Studies 🤖 Artificial Intelligence 🔬 Cognitive Science 💭 Thought Experiments

Beautiful Architecture

— Diomidis Spinellis • 2008

Software guards its internals. Emacs shipped a Lisp interpreter and let users rewrite everything.

3.42

171

🏗️ Software Architecture 🖥️ Emacs 📐 Software Design 📜 Lisp 🔧 Unix Philosophy

Beautiful Architecture

Software guards its internals. Emacs shipped a Lisp interpreter and let users rewrite everything.

— Diomidis Spinellis 2008 426 стр.

3.42

171 оценок

🏗️ Software Architecture 🖥️ Emacs 📐 Software Design 📜 Lisp 🔧 Unix Philosophy

An Introduction to General Systems Thinking

— Gerald M. Weinberg • 1975

Stability is not a property of a system but a contract it negotiates with its environment.

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500+

🧩 Systems Theory 🔬 Philosophy Of Science 🤖 Cybernetics 💻 Computational Thinking 👁️ Observer Bias

An Introduction to General Systems Thinking

Stability is not a property of a system but a contract it negotiates with its environment.

— Gerald M. Weinberg 1975 320 стр.

3.94

500+ оценок

🧩 Systems Theory 🔬 Philosophy Of Science 🤖 Cybernetics 💻 Computational Thinking 👁️ Observer Bias

Code Dependent

— Madhumita Murgia • 2024

Behind every AI is an exploited, invisible workforce. A reporter traces the human supply chain.

4.03

3 000+

⚖️ Algorithmic Bias 🤖 Ai Ethics 👷 Digital Labor 👁️ Surveillance Capitalism 🛡️ Content Moderation

Code Dependent

Behind every AI is an exploited, invisible workforce. A reporter traces the human supply chain.

— Madhumita Murgia 2024 309 стр.

4.03

3 000+ оценок

⚖️ Algorithmic Bias 🤖 Ai Ethics 👷 Digital Labor 👁️ Surveillance Capitalism 🛡️ Content Moderation

Matter and Consciousness

— Paul M. Churchland • 1984

Folk psychology is a 2,000-year-old theory that hasn't improved. Neuroscience says it never will.

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🧠 Philosophy Of Mind 🔬 Cognitive Science ⚛️ Physicalism 🕸️ Neural Networks 🤖 Artificial Intelligence

Matter and Consciousness

Folk psychology is a 2,000-year-old theory that hasn't improved. Neuroscience says it never will.

— Paul M. Churchland 1984 196 стр.

3.89

1 000+ оценок

🧠 Philosophy Of Mind 🔬 Cognitive Science ⚛️ Physicalism 🕸️ Neural Networks 🤖 Artificial Intelligence

Lean Software Development

— Mary Poppendieck • 2003

The lean manufacturing toolkit, adapted for software teams: cut waste, ship faster, decide later.

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🏭 Lean Methodology 🔄 Agile Methods 🚀 Continuous Delivery 🤝 Team Autonomy 🧩 Systems Thinking

Lean Software Development

The lean manufacturing toolkit, adapted for software teams: cut waste, ship faster, decide later.

— Mary Poppendieck 2003 240 стр.

4.19

1 000+ оценок

🏭 Lean Methodology 🔄 Agile Methods 🚀 Continuous Delivery 🤝 Team Autonomy 🧩 Systems Thinking

Machines of Loving Grace

— John Markoff • 2015

Silicon Valley split between replacing humans and upgrading them. The fight isn't over.

3.67

500+

🖥️ History Of Computing 🤖 Artificial Intelligence 🖱️ Human-Computer Interaction 🏭 Automation And Labor ⚖️ Ai Ethics

Machines of Loving Grace

Silicon Valley split between replacing humans and upgrading them. The fight isn't over.

— John Markoff 2015 400 стр.

3.67

500+ оценок

🖥️ History Of Computing 🤖 Artificial Intelligence 🖱️ Human-Computer Interaction 🏭 Automation And Labor ⚖️ Ai Ethics

Working in Public

— Nadia Eghbal • 2020

Open source runs on solo maintainers, not communities. The scarcest resource: attention, not code.

3.92

500+

💻 Open Source Software 💰 Creator Economy 👁️ Attention Economics 🔧 Digital Labor 🌐 Community Management

Working in Public

Open source runs on solo maintainers, not communities. The scarcest resource: attention, not code.

— Nadia Eghbal 2020 252 стр.

3.92

500+ оценок

💻 Open Source Software 💰 Creator Economy 👁️ Attention Economics 🔧 Digital Labor 🌐 Community Management

Software Engineering at Google

— Titus Winters • 2020

Google's testing playbook: 80/20, test behaviors not methods, write tests that never rot.

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1 000+

🧪 Software Testing 🏗️ Engineering Culture 🤖 Automated Testing 🎯 Behavior-Driven Testing 📋 Code Quality

Software Engineering at Google

Google's testing playbook: 80/20, test behaviors not methods, write tests that never rot.

— Titus Winters 2020 602 стр.

4.20

1 000+ оценок

🧪 Software Testing 🏗️ Engineering Culture 🤖 Automated Testing 🎯 Behavior-Driven Testing 📋 Code Quality

The Art of Project Management

— Scott Berkun • 2005

Earn trust, clarify roles, and make tough calls: the human skills that plan-obsessed managers miss.

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👷 Project Management 💻 Software Development Management 🤝 Trust Building 🧩 Decision Frameworks 📋 Role Clarity

The Art of Project Management

Earn trust, clarify roles, and make tough calls: the human skills that plan-obsessed managers miss.

— Scott Berkun 2005 448 стр.

3.96

500+ оценок

👷 Project Management 💻 Software Development Management 🤝 Trust Building 🧩 Decision Frameworks 📋 Role Clarity

Future Crimes

— Marc Goodman • 2015

Crime went corporate. The dark web runs like Amazon, and your digital exhaust is its inventory.

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4 000+

🛡️ Cybersecurity 🕶️ Dark Web 💻 Digital Crime 🔍 Data Privacy 📡 Digital Surveillance

Future Crimes

Crime went corporate. The dark web runs like Amazon, and your digital exhaust is its inventory.

— Marc Goodman 2015 393 стр.

3.92

4 000+ оценок

🛡️ Cybersecurity 🕶️ Dark Web 💻 Digital Crime 🔍 Data Privacy 📡 Digital Surveillance

Who Owns the Future?

— Jaron Lanier • 2013

Free services enter the internet. Middle-class jobs leave. A plan to reverse the pump.

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3 000+

💻 Digital Economy 🔍 Big Tech Critique 🔐 Data Ownership 🤖 Technological Unemployment 🌐 Decentralization

Who Owns the Future?

Free services enter the internet. Middle-class jobs leave. A plan to reverse the pump.

— Jaron Lanier 2013 416 стр.

3.77

3 000+ оценок

💻 Digital Economy 🔍 Big Tech Critique 🔐 Data Ownership 🤖 Technological Unemployment 🌐 Decentralization

Java 8 in Action

— Raoul-Gabriel Urma • 2014

Replace anonymous inner classes with lambdas, iterate with streams, and fix broken dates.

4.35

500+

☕ Java Programming 🧠 Functional Programming 📈 Language Evolution 🔌 Api Design ⚡ Parallelism

Java 8 in Action

Replace anonymous inner classes with lambdas, iterate with streams, and fix broken dates.

— Raoul-Gabriel Urma 2014 394 стр.

4.35

500+ оценок

☕ Java Programming 🧠 Functional Programming 📈 Language Evolution 🔌 Api Design ⚡ Parallelism

High Performance JavaScript

— Nicholas C. Zakas • 2010

Fewer DOM touches, shorter scope chains, smarter loading: JS performance without the rewrite.

4.10

500+

🧭 Web Performance 📄 Dom Scripting 🔍 Performance Profiling 🏗️ Frontend Engineering 📜 Advanced Javascript

High Performance JavaScript

Fewer DOM touches, shorter scope chains, smarter loading: JS performance without the rewrite.

— Nicholas C. Zakas 2010 232 стр.

4.10

500+ оценок

🧭 Web Performance 📄 Dom Scripting 🔍 Performance Profiling 🏗️ Frontend Engineering 📜 Advanced Javascript

Java Performance

— Scott Oaks • 2014

Fast Java has no magic switch: profiler first, then GC, JIT, threads, and memory.

4.39

319

🖥️ Jvm Performance ⚙️ Java Internals 🗑️ Garbage Collection 🧠 Memory Management 🧵 Concurrency Optimization

Java Performance

Fast Java has no magic switch: profiler first, then GC, JIT, threads, and memory.

— Scott Oaks 2014 423 стр.

4.39

319 оценок

🖥️ Jvm Performance ⚙️ Java Internals 🗑️ Garbage Collection 🧠 Memory Management 🧵 Concurrency Optimization

Management Information Systems

— Kenneth C. Laudon • 1996

Building a digital firm: how strategy, data, and security turn IT into competitive advantage.

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500+

💻 Information Systems 🔄 Digital Transformation ♟️ It Strategy 🗄️ Data Management 🔒 Information Security

Management Information Systems

Building a digital firm: how strategy, data, and security turn IT into competitive advantage.

— Kenneth C. Laudon 1996 736 стр.

3.55

500+ оценок

💻 Information Systems 🔄 Digital Transformation ♟️ It Strategy 🗄️ Data Management 🔒 Information Security

The ChatGPT Revolution

— Donna Mcgeorge • 2023

The non-techie's guide to making ChatGPT handle your daily tasks, from emails to meal planning.

3.52

119

🛠️ Prompt Engineering 🤖 Ai For Beginners ⏰ Time Management 💼 Workplace Efficiency 🧹 Life Simplification

The ChatGPT Revolution

The non-techie's guide to making ChatGPT handle your daily tasks, from emails to meal planning.

— Donna Mcgeorge 2023 192 стр.

3.52

119 оценок

🛠️ Prompt Engineering 🤖 Ai For Beginners ⏰ Time Management 💼 Workplace Efficiency 🧹 Life Simplification

User Stories Applied

— Mike Cohn • 2004

Replace bloated specs with user stories, hours with story points, and hope with velocity.

3.89

2 000+

🧱 Agile Methodology 💻 Software Development 📝 Requirements Gathering 📏 Project Estimation ✅ Acceptance Testing

User Stories Applied

Replace bloated specs with user stories, hours with story points, and hope with velocity.

— Mike Cohn 2004 296 стр.

3.89

2 000+ оценок

🧱 Agile Methodology 💻 Software Development 📝 Requirements Gathering 📏 Project Estimation ✅ Acceptance Testing

Fundamentals of Database Systems

— Shamkant B. Navathe • 1989

Before the database, there was a file. The conceptual leap that organizes the world's information.

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🗄️ Database Systems 📊 Data Modeling 🗃️ Relational Databases ⌨️ Query Languages 🧱 Database Architecture

Fundamentals of Database Systems

Before the database, there was a file. The conceptual leap that organizes the world's information.

— Shamkant B. Navathe 1989 1139 стр.

3.81

500+ оценок

🗄️ Database Systems 📊 Data Modeling 🗃️ Relational Databases ⌨️ Query Languages 🧱 Database Architecture

Refactoring to Patterns

— Joshua Kerievsky • 2004

How to transform tangled code into textbook patterns one small, safe step at a time.

4.05

1 000+

🧱 Software Architecture ✨ Code Quality 🏗️ Object Oriented Design 🌱 Evolutionary Design 🧩 Design Patterns

Refactoring to Patterns

How to transform tangled code into textbook patterns one small, safe step at a time.

— Joshua Kerievsky 2004 367 стр.

4.05

1 000+ оценок

🧱 Software Architecture ✨ Code Quality 🏗️ Object Oriented Design 🌱 Evolutionary Design 🧩 Design Patterns

Руководство по подготовке к экзамену CISA

— ИСАКА • 2007

From audit planning to incident recovery: the CISA exam's full scope, organized for passing.

3.92

225

🔍 IT Auditing 📝 Certification Exam Prep 🔒 Information Security 🏛️ IT Governance ⚠️ Risk Management

Руководство по подготовке к экзамену CISA

From audit planning to incident recovery: the CISA exam's full scope, organized for passing.

— ИСАКА 2007 468 стр.

3.92

225 оценок

🔍 IT Auditing 📝 Certification Exam Prep 🔒 Information Security 🏛️ IT Governance ⚠️ Risk Management

Madly, Deeply

— Alan Rickman • 2022

Systems must evolve, not freeze: automated guardrails, small batches, and teams shaped for change.

3.58

16 000+

🛠️ Software Architecture 🚀 Continuous Delivery 🧩 Microservices 🔄 Agile Methodology 👥 Team Organization

Madly, Deeply

Systems must evolve, not freeze: automated guardrails, small batches, and teams shaped for change.

— Alan Rickman 2022 469 стр.

3.58

16 000+ оценок

🛠️ Software Architecture 🚀 Continuous Delivery 🧩 Microservices 🔄 Agile Methodology 👥 Team Organization

The Model Thinker

— Scott E. Page • 2018

Big data without many models is just noise. The case for thinking through multiple frameworks.

3.92

500+

🧠 Mental Models 🔄 Systems Thinking 🌀 Complexity Science 📊 Quantitative Reasoning 🕸️ Network Theory

The Model Thinker

Big data without many models is just noise. The case for thinking through multiple frameworks.

— Scott E. Page 2018 448 стр.

3.92

500+ оценок

🧠 Mental Models 🔄 Systems Thinking 🌀 Complexity Science 📊 Quantitative Reasoning 🕸️ Network Theory

Agentic Artificial Intelligence

— Pascal Bornet • 2025

Generative AI answers. Agentic AI acts. The gap between them is where business will be remade.

3.89

409

🏢 Enterprise Ai 🤖 Autonomous Systems ⚙️ Workforce Automation 🤝 Human-Ai Collaboration 🐝 Multi-Agent Systems

Agentic Artificial Intelligence

Generative AI answers. Agentic AI acts. The gap between them is where business will be remade.

— Pascal Bornet 2025 572 стр.

3.89

409 оценок

🏢 Enterprise Ai 🤖 Autonomous Systems ⚙️ Workforce Automation 🤝 Human-Ai Collaboration 🐝 Multi-Agent Systems

Ogilvy on Advertising in the Digital Age

— Miles Young • 2019

Digital is a channel, not a discipline. The advertising laws that built Ogilvy still apply.

3.59

268

📱 Digital Marketing 📊 Advertising Strategy 🏗️ Brand Building 💡 Meaning Creation 🧠 Consumer Psychology

Ogilvy on Advertising in the Digital Age

Digital is a channel, not a discipline. The advertising laws that built Ogilvy still apply.

— Miles Young 2019 288 стр.

3.59

268 оценок

📱 Digital Marketing 📊 Advertising Strategy 🏗️ Brand Building 💡 Meaning Creation 🧠 Consumer Psychology

Visions

— Michio Kaku • 2011

When quantum physics, computing, and genetics converge, the 21st century truly begins.

4.03

2 000+

🧬 Genetic Engineering 🤖 Artificial Intelligence 🔮 Futurism 🧠 Transhumanism ⚖️ Bioethics

Visions

When quantum physics, computing, and genetics converge, the 21st century truly begins.

— Michio Kaku 2011 418 стр.

4.03

2 000+ оценок

🧬 Genetic Engineering 🤖 Artificial Intelligence 🔮 Futurism 🧠 Transhumanism ⚖️ Bioethics

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