기술

프로그래밍 언어, 소프트웨어 아키텍처, 웹 개발 기초에 대한 전문적인 안내를 통해 디지털 세계가 생생하게 펼쳐집니다. 이러한 실용적인 자료들은 독자들이 현대 기술을 마스터하고, 견고한 애플리케이션을 구축하며, 시간의 시험을 견디는 우아한 코드를 작성할 수 있도록 도와줍니다.

기술 도서 요약

Leading the Transformation

저자: Gary Gruver • 2015

HP halved development costs and tripled innovation. It was not the code. It was the leadership.

3.80

418

🖥️ Software Development 🏢 Enterprise Agile 🔄 Devops Practices 🔀 Agile Transformation 💻 Technology Leadership

Leading the Transformation

HP halved development costs and tripled innovation. It was not the code. It was the leadership.

저자: Gary Gruver 2015 113 페이지

3.80

418 개의 평점

🖥️ Software Development 🏢 Enterprise Agile 🔄 Devops Practices 🔀 Agile Transformation 💻 Technology Leadership

Google Analytics

저자: Justin Cutroni • 2007

Turn Google Analytics from a hit counter into a decision engine with the right setup.

3.72

129

📊 Web Analytics 📈 Marketing Analytics 🎯 Conversion Optimization 💡 Data-Driven Decisions 🛒 Ecommerce Optimization

Google Analytics

Turn Google Analytics from a hit counter into a decision engine with the right setup.

저자: Justin Cutroni 2007 216 페이지

3.72

129 개의 평점

📊 Web Analytics 📈 Marketing Analytics 🎯 Conversion Optimization 💡 Data-Driven Decisions 🛒 Ecommerce Optimization

Data Structures and Algorithms Made Easy

저자: Narasimha Karumanchi • 2011

Every algorithm problem has multiple solutions. Find the fastest one, step by step.

4.10

1,000+

⏱️ Algorithm Analysis 🗃️ Data Structures ✍️ Algorithm Design 📊 Complexity Theory 💼 Coding Interviews

Data Structures and Algorithms Made Easy

Every algorithm problem has multiple solutions. Find the fastest one, step by step.

저자: Narasimha Karumanchi 2011

4.10

1,000+ 개의 평점

⏱️ Algorithm Analysis 🗃️ Data Structures ✍️ Algorithm Design 📊 Complexity Theory 💼 Coding Interviews

Nexus Framework for Scaling Scrum, The

저자: Kurt Bittner • 2017

How 3 to 9 Scrum teams ship one integrated product every Sprint, no heavy framework required.

4.13

122

🏗️ Scaled Agile 📋 Scrum Framework 📈 Scrum Scaling 🔄 Continuous Integration 🧹 Technical Debt

Nexus Framework for Scaling Scrum, The

How 3 to 9 Scrum teams ship one integrated product every Sprint, no heavy framework required.

저자: Kurt Bittner 2017 176 페이지

4.13

122 개의 평점

🏗️ Scaled Agile 📋 Scrum Framework 📈 Scrum Scaling 🔄 Continuous Integration 🧹 Technical Debt

Platform Engineering

저자: Camille Fournier • 2024

Platform teams fail without product thinking. How to build internal tools developers actually love.

4.03

119

🏗️ Platform Engineering 👥 Engineering Management 💡 Product Thinking 🔄 Sociotechnical Systems ⚙️ DevOps

Platform Engineering

Platform teams fail without product thinking. How to build internal tools developers actually love.

저자: Camille Fournier 2024 322 페이지

4.03

119 개의 평점

🏗️ Platform Engineering 👥 Engineering Management 💡 Product Thinking 🔄 Sociotechnical Systems ⚙️ DevOps

Fundamentals of Data Engineering

저자: Joe Reis • 2022

Data scientists spend 80% of their time cleaning data. The systems blueprint that frees them.

4.16

500+

🛠️ Data Engineering 🏗️ Data Architecture 🔗 Data Pipelines 📊 Data Modeling ☁️ Cloud Data Systems

Fundamentals of Data Engineering

Data scientists spend 80% of their time cleaning data. The systems blueprint that frees them.

저자: Joe Reis 2022 426 페이지

4.16

500+ 개의 평점

🛠️ Data Engineering 🏗️ Data Architecture 🔗 Data Pipelines 📊 Data Modeling ☁️ Cloud Data Systems

The Quick Python Book

저자: Naomi R. Ceder • 2000

Indentation is syntax, functions are data, and the standard library does half the work already.

3.87

277

🐍 Python Language 📚 Language Reference 📜 Scripting Languages 🗂️ Code Organization 🧹 Data Wrangling

The Quick Python Book

Indentation is syntax, functions are data, and the standard library does half the work already.

저자: Naomi R. Ceder 2000 367 페이지

3.87

277 개의 평점

🐍 Python Language 📚 Language Reference 📜 Scripting Languages 🗂️ Code Organization 🧹 Data Wrangling

Ansible

저자: Lorin Hochstein • 2014

No agents required. Automate configuration and deployment with playbooks you can actually read.

3.88

270

🔧 Configuration Management 📋 Infrastructure As Code 🛠️ Devops Tooling 🚀 Deployment Automation 💻 Sysadmins

Ansible

No agents required. Automate configuration and deployment with playbooks you can actually read.

저자: Lorin Hochstein 2014 334 페이지

3.88

270 개의 평점

🔧 Configuration Management 📋 Infrastructure As Code 🛠️ Devops Tooling 🚀 Deployment Automation 💻 Sysadmins

Real-World Functional Programming

저자: Tomas Petricek • 2009

Adopt functional programming on .NET, alongside C#: patterns for cleaner, lock-free concurrency.

3.92

180

🧑‍💻 Functional Programming 🖥️ .Net Development 📜 Declarative Programming 🧊 Immutability 🏷️ Type-Driven Development

Real-World Functional Programming

Adopt functional programming on .NET, alongside C#: patterns for cleaner, lock-free concurrency.

저자: Tomas Petricek 2009 560 페이지

3.92

180 개의 평점

🧑‍💻 Functional Programming 🖥️ .Net Development 📜 Declarative Programming 🧊 Immutability 🏷️ Type-Driven Development

The Professional Agile Leader

저자: Ron Eringa • 2022

Agile asks leaders to dismantle the very authority that made them successful.

4.41

🌊 Agile Transformation 🔄 Organizational Change 🤝 Self-Managing Teams 🎯 Outcome Over Output 🛡️ Psychological Safety

The Professional Agile Leader

Agile asks leaders to dismantle the very authority that made them successful.

저자: Ron Eringa 2022 208 페이지

4.41

44 개의 평점

🌊 Agile Transformation 🔄 Organizational Change 🤝 Self-Managing Teams 🎯 Outcome Over Output 🛡️ Psychological Safety

Fundamentals of Software Architecture

저자: Mark Richards • 2020

Every architecture choice is a wager on a shifting context. A framework for placing better bets.

4.24

2,000+

🧩 Trade-Off Analysis 🏛️ Architectural Styles 🧱 Modularity ⚠️ Risk Management 📝 Architecture Documentation

Fundamentals of Software Architecture

Every architecture choice is a wager on a shifting context. A framework for placing better bets.

저자: Mark Richards 2020 422 페이지

4.24

2,000+ 개의 평점

🧩 Trade-Off Analysis 🏛️ Architectural Styles 🧱 Modularity ⚠️ Risk Management 📝 Architecture Documentation

Learning Domain-Driven Design

저자: Vladik Khononov • 2021

Learn the business before you write the code. Domain-driven design for the systems you build.

4.43

500+

🧱 Domain-Driven Design 🏗️ Software Architecture 🏢 Enterprise Software 🔀 Microservices Patterns ⚡ Event-Driven Systems

Learning Domain-Driven Design

Learn the business before you write the code. Domain-driven design for the systems you build.

저자: Vladik Khononov 2021 340 페이지

4.43

500+ 개의 평점

🧱 Domain-Driven Design 🏗️ Software Architecture 🏢 Enterprise Software 🔀 Microservices Patterns ⚡ Event-Driven Systems

Hadoop

저자: Tom White • 2009

How to turn cheap servers into a petabyte-scale data platform, from HDFS to real-time streaming.

3.93

1,000+

📊 Big Data 🖧 Distributed Systems 🐘 Hadoop Ecosystem ⚙️ Data Engineering 🔗 Data Pipelines

Hadoop

How to turn cheap servers into a petabyte-scale data platform, from HDFS to real-time streaming.

저자: Tom White 2009 528 페이지

3.93

1,000+ 개의 평점

📊 Big Data 🖧 Distributed Systems 🐘 Hadoop Ecosystem ⚙️ Data Engineering 🔗 Data Pipelines

The Art of Computer Programming, Volume 1

저자: Donald Ervin Knuth • 1973

Algorithms are not just code: they are mathematical objects. To understand one, you must prove it.

4.38

1,000+

🧮 Algorithm Design 🗂️ Data Structures 📈 Algorithm Analysis 📐 Mathematical Analysis 🔧 Low-Level Computing

The Art of Computer Programming, Volume 1

Algorithms are not just code: they are mathematical objects. To understand one, you must prove it.

저자: Donald Ervin Knuth 1973 672 페이지

4.38

1,000+ 개의 평점

🧮 Algorithm Design 🗂️ Data Structures 📈 Algorithm Analysis 📐 Mathematical Analysis 🔧 Low-Level Computing

Trading

저자: Rolf Schlotmann • 2019

Forget memorizing chart patterns. Read the buyer-seller battle instead, and master any market.

4.19

1,000+

📈 Technical Trading 📊 Price Action Trading 🕯️ Candlestick Patterns 📉 Chart Patterns 🔍 Trend Analysis

Trading

Forget memorizing chart patterns. Read the buyer-seller battle instead, and master any market.

저자: Rolf Schlotmann 2019 183 페이지

4.19

1,000+ 개의 평점

📈 Technical Trading 📊 Price Action Trading 🕯️ Candlestick Patterns 📉 Chart Patterns 🔍 Trend Analysis

Think Stats

저자: Allen B. Downey • 2011

Statistics taught through code: why simulation and real data beat memorization every time.

3.64

469

💻 Computational Statistics 🔍 Exploratory Data Analysis 🐍 Python Data Analysis 📊 Statistical Modeling 🎲 Hypothesis Testing

Think Stats

Statistics taught through code: why simulation and real data beat memorization every time.

저자: Allen B. Downey 2011 138 페이지

3.64

469 개의 평점

💻 Computational Statistics 🔍 Exploratory Data Analysis 🐍 Python Data Analysis 📊 Statistical Modeling 🎲 Hypothesis Testing

Dive Into Design Patterns

저자: Alexander Shvets • 2018

The 22 blueprints that turn tangled object-oriented code into systems you can actually change.

4.66

500+

🧱 Object-Oriented Design 🏗️ Software Architecture 🔁 Design Patterns 👥 Gang Of Four 🧩 Solid Principles

Dive Into Design Patterns

The 22 blueprints that turn tangled object-oriented code into systems you can actually change.

저자: Alexander Shvets 2018 406 페이지

4.66

500+ 개의 평점

🧱 Object-Oriented Design 🏗️ Software Architecture 🔁 Design Patterns 👥 Gang Of Four 🧩 Solid Principles

AI and Machine Learning for Coders

저자: 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

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

저자: Laurence Moroney 2021 390 페이지

4.09

108 개의 평점

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

Basketball on Paper

저자: Dean Oliver • 2003

Basketball's scoreboard is a liar. Here is what actually decides who wins and who loses.

4.06

467

🏀 Basketball Analytics 📊 Sports Analytics 📈 Performance Metrics 🔢 Statistical Modeling 📋 Data-Driven Coaching

Basketball on Paper

Basketball's scoreboard is a liar. Here is what actually decides who wins and who loses.

저자: Dean Oliver 2003 392 페이지

4.06

467 개의 평점

🏀 Basketball Analytics 📊 Sports Analytics 📈 Performance Metrics 🔢 Statistical Modeling 📋 Data-Driven Coaching

An Essay on the Psychology of Invention in the Mathematical Field

저자: Jacques Hadamard • 1945

Mathematical discovery relies on the unconscious, not logic; beauty picks the winning ideas.

3.97

221

🔢 Mathematical Creativity 🧠 Cognitive Psychology 🌊 Unconscious Processing 👁️ Visual Thinking ✨ Beauty In Mathematics

An Essay on the Psychology of Invention in the Mathematical Field

Mathematical discovery relies on the unconscious, not logic; beauty picks the winning ideas.

저자: Jacques Hadamard 1945 162 페이지

3.97

221 개의 평점

🔢 Mathematical Creativity 🧠 Cognitive Psychology 🌊 Unconscious Processing 👁️ Visual Thinking ✨ Beauty In Mathematics

Monolith to Microservices

저자: Sam Newman • 2019

Breaking a monolith into microservices: the incremental patterns that avoid a big-bang disaster.

4.29

1,000+

🧩 Microservices 🏗️ Software Architecture 🔄 Legacy Modernization 🗄️ Data Architecture 🔌 Api Design

Monolith to Microservices

Breaking a monolith into microservices: the incremental patterns that avoid a big-bang disaster.

저자: Sam Newman 2019 255 페이지

4.29

1,000+ 개의 평점

🧩 Microservices 🏗️ Software Architecture 🔄 Legacy Modernization 🗄️ Data Architecture 🔌 Api Design

Release It!

저자: Michael T. Nygard • 2007

QA says your software is ready. Production disagrees. The patterns that close the gap.

4.25

3,000+

🏗️ Software Architecture 🌐 Distributed Systems 🛡️ Fault Tolerance ✅ Production Readiness 🔥 Chaos Engineering

Release It!

QA says your software is ready. Production disagrees. The patterns that close the gap.

저자: Michael T. Nygard 2007 350 페이지

4.25

3,000+ 개의 평점

🏗️ Software Architecture 🌐 Distributed Systems 🛡️ Fault Tolerance ✅ Production Readiness 🔥 Chaos Engineering

Forecasting

저자: Rob J. Hyndman • 2013

Build forecasts that work: test on unseen data, beat simple benchmarks, reconcile every level.

4.39

318

🧮 Time Series Analysis 📈 Business Forecasting 📊 Statistical Modeling 👁 Data Visualization 📦 Demand Planning

Forecasting

Build forecasts that work: test on unseen data, beat simple benchmarks, reconcile every level.

저자: Rob J. Hyndman 2013 292 페이지

4.39

318 개의 평점

🧮 Time Series Analysis 📈 Business Forecasting 📊 Statistical Modeling 👁 Data Visualization 📦 Demand Planning

Linux Kernel Development

저자: Robert Love • 2003

Linux has no threads, only tasks, and a red-black tree keeps the CPU fair.

4.34

500+

🖥️ Operating Systems ⚙️ Kernel Internals 💻 Systems Programming 🧠 Memory Management 🔌 Device Drivers

Linux Kernel Development

Linux has no threads, only tasks, and a red-black tree keeps the CPU fair.

저자: Robert Love 2003 480 페이지

4.34

500+ 개의 평점

🖥️ Operating Systems ⚙️ Kernel Internals 💻 Systems Programming 🧠 Memory Management 🔌 Device Drivers

Modern Operating Systems

저자: Andrew S. Tanenbaum • 1992

From process scheduling to virtual memory, the abstractions that keep your computer from crashing.

4.14

2,000+

🖥️ Operating Systems ⚙️ Systems Programming 🧠 Kernel Design 💾 Memory Management 🔀 Concurrency

Modern Operating Systems

From process scheduling to virtual memory, the abstractions that keep your computer from crashing.

저자: Andrew S. Tanenbaum 1992 960 페이지

4.14

2,000+ 개의 평점

🖥️ Operating Systems ⚙️ Systems Programming 🧠 Kernel Design 💾 Memory Management 🔀 Concurrency

AI Engineering

저자: Chip Huyen • 2025

Stop training models from scratch. The new discipline for building AI that ships.

4.37

1,000+

🏗️ Llm Application Development 📝 Prompt Engineering 🔍 Rag Systems 🎯 Model Finetuning 📊 Ai Evaluation

AI Engineering

Stop training models from scratch. The new discipline for building AI that ships.

저자: Chip Huyen 2025 532 페이지

4.37

1,000+ 개의 평점

🏗️ Llm Application Development 📝 Prompt Engineering 🔍 Rag Systems 🎯 Model Finetuning 📊 Ai Evaluation

Practical Malware Analysis

저자: Michael Sikorski • 2011

IT security to malware analyst: a hands-on lab manual bridging the gap with real tools and code.

4.47

500+

🦠 Malware Analysis ⚙️ Reverse Engineering 🪟 Windows Internals 📜 Assembly Language 🐛 Debugging

Practical Malware Analysis

IT security to malware analyst: a hands-on lab manual bridging the gap with real tools and code.

저자: Michael Sikorski 2011 800 페이지

4.47

500+ 개의 평점

🦠 Malware Analysis ⚙️ Reverse Engineering 🪟 Windows Internals 📜 Assembly Language 🐛 Debugging

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