プログラミング

エレガントなコードの作成、直感的なインターフェースの構築、堅牢なシステムの設計に関する専門的なガイダンスを通じて、デジタルの世界が生き生きと動き出します。これらの実践的な書籍は、スタートアップ戦略からクリーンコーディングの実践、ゲームデザインの原則からWebユーザビリティの知恵まで、ソフトウェア開発の技術と科学を照らし出します。

プログラミング本の要約

Rise of Generative AI and ChatGPT

著： Utpal Chakraborty • 2023

Generative AI's business playbook: what ChatGPT delivers, where it stumbles, and what comes next.

1.33

🧠 Generative Ai 💼 Ai In Business ⚖️ Ai Ethics

Rise of Generative AI and ChatGPT

Generative AI's business playbook: what ChatGPT delivers, where it stumbles, and what comes next.

著： Utpal Chakraborty 2023 250 ページ

1.33

12 件の評価

🧠 Generative Ai 💼 Ai In Business ⚖️ Ai Ethics

Hadoop

著： 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

Hadoop

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

著： Tom White 2009 528 ページ

3.93

1,000+ 件の評価

📊 Big Data 🖧 Distributed Systems 🐘 Hadoop Ecosystem

The Journey to Enterprise Agility

著： Daryl Kulak • 2017

Copycat agile fails without the worldview: your company is a living system, not a machine.

4.36

🧠 Systems Thinking 🏢 Enterprise Agility 🛠️ Software Craftsmanship

The Journey to Enterprise Agility

Copycat agile fails without the worldview: your company is a living system, not a machine.

著： Daryl Kulak 2017 305 ページ

4.36

39 件の評価

🧠 Systems Thinking 🏢 Enterprise Agility 🛠️ Software Craftsmanship

What Are ChatGPT and Its Friends?

著： 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

What Are ChatGPT and Its Friends?

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

著： Mike Loukides 2023

4.00

7 件の評価

🧬 Generative Ai 🤖 Large Language Models ⚖️ Ai Ethics

Neural Network for Beginners

著： セバスティアン・クラース • 2021

Stop treating neural networks as magic. Build them from scratch in Python, line by line.

5.00

🧠 Machine Learning 🧬 Deep Learning 🔗 Neural Networks

Neural Network for Beginners

Stop treating neural networks as magic. Build them from scratch in Python, line by line.

著： セバスティアン・クラース 2021 256 ページ

5.00

1 件の評価

🧠 Machine Learning 🧬 Deep Learning 🔗 Neural Networks

Scrum Insights for Practitioners

著： Hiren Doshi • 2016

Correcting the myths, clarifying the roles, and revealing what Done actually demands.

4.19

186

🏃 Agile Methodologies 📚 Scrum Framework 💻 Software Development

Scrum Insights for Practitioners

Correcting the myths, clarifying the roles, and revealing what Done actually demands.

著： Hiren Doshi 2016 106 ページ

4.19

186 件の評価

🏃 Agile Methodologies 📚 Scrum Framework 💻 Software Development

Five Lines of Code

著： Christian Clausen • 2021

Trust rules, not taste. Inflexible constraints that hold every method to a five-line standard.

3.99

🛠️ Code Refactoring 🔷 Object-Oriented Design ✅ Code Quality

Five Lines of Code

Trust rules, not taste. Inflexible constraints that hold every method to a five-line standard.

著： Christian Clausen 2021 336 ページ

3.99

84 件の評価

🛠️ Code Refactoring 🔷 Object-Oriented Design ✅ Code Quality

Unlocking Agility

著： Jorgen Hesselberg • 2018

Enterprise agility: transforming leadership and culture, not just adopting a software framework.

4.38

🔄 Agile Transformation 🏢 Organizational Change 📐 Lean Methodology

Unlocking Agility

Enterprise agility: transforming leadership and culture, not just adopting a software framework.

著： Jorgen Hesselberg 2018 368 ページ

4.38

80 件の評価

🔄 Agile Transformation 🏢 Organizational Change 📐 Lean Methodology

AI for Data Science

著： Zacharias Voulgaris • 2018

The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.

4.55

📊 Data Science 🧠 Deep Learning ⚙️ Optimization Algorithms

AI for Data Science

The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.

著： Zacharias Voulgaris 2018 289 ページ

4.55

20 件の評価

📊 Data Science 🧠 Deep Learning ⚙️ Optimization Algorithms

Cracking the Tech Career

著： Gayle Laakmann McDowell • 2014

Recruiters give your resume six seconds. Here is the full system for making them count.

4.02

436

💻 Tech Careers 📝 Interview Preparation 🧑‍💻 Coding Interviews

Cracking the Tech Career

Recruiters give your resume six seconds. Here is the full system for making them count.

著： Gayle Laakmann McDowell 2014 275 ページ

4.02

436 件の評価

💻 Tech Careers 📝 Interview Preparation 🧑‍💻 Coding Interviews

Invent To Learn

著： Sylvia Libow Martinez • 2013

How to trade direct instruction for iterative design, physical making, and real student ownership.

4.17

500+

🛠️ Maker Education 📁 Project-Based Learning 📐 Constructionism

Invent To Learn

How to trade direct instruction for iterative design, physical making, and real student ownership.

著： Sylvia Libow Martinez 2013 252 ページ

4.17

500+ 件の評価

🛠️ Maker Education 📁 Project-Based Learning 📐 Constructionism

The 8088 and 8086 Microprocessors

著： Walter A. Triebel • 1991

Master the 8088 and 8086 from the metal up: assembly, debugging, and interfacing.

4.17

195

🧱 Microprocessor Architecture 🔢 Assembly Language 💻 Intel X86

The 8088 and 8086 Microprocessors

Master the 8088 and 8086 from the metal up: assembly, debugging, and interfacing.

著： Walter A. Triebel 1991 1040 ページ

4.17

195 件の評価

🧱 Microprocessor Architecture 🔢 Assembly Language 💻 Intel X86

Understanding Large Language Models

著： Thimira Amaratunga • 2023

The 2017 architecture that made LLMs huge and fluent but unable to think, and how it works.

5.00

🗣️ Natural Language Processing 🤖 Generative Ai 📖 Ai Literacy

Understanding Large Language Models

The 2017 architecture that made LLMs huge and fluent but unable to think, and how it works.

著： Thimira Amaratunga 2023 169 ページ

5.00

1 件の評価

🗣️ Natural Language Processing 🤖 Generative Ai 📖 Ai Literacy

Soft Skills to Advance Your Developer Career

著： Zsolt Nagy • 2019

Code earned you the interview. The soft skills that win the offer and the promotion are learnable.

3.67

💻 Developer Soft Skills 🗣️ Communication Skills 🏷️ Personal Branding

Soft Skills to Advance Your Developer Career

Code earned you the interview. The soft skills that win the offer and the promotion are learnable.

著： Zsolt Nagy 2019 314 ページ

3.67

9 件の評価

💻 Developer Soft Skills 🗣️ Communication Skills 🏷️ Personal Branding

Data Structures and Algorithms in Java

著： 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

Data structures and their runtime analysis: how to write Java code that is efficient and dependable.

著： Michael T. Goodrich 1998 720 ページ

3.86

302 件の評価

🧱 Data Structures ⚙️ Algorithms 🏗️ Algorithm Design

Think Stats

著： 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

Think Stats

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

著： Allen B. Downey 2011 138 ページ

3.64

469 件の評価

💻 Computational Statistics 🔍 Exploratory Data Analysis 🐍 Python Data Analysis

How to AI

著： Christopher Mims • 2026

How to delegate the boring parts to AI without ever trusting the output.

3.77

111

📖 Ai Literacy 🤝 Ai Augmentation 🤖 Generative Ai

How to AI

How to delegate the boring parts to AI without ever trusting the output.

著： Christopher Mims 2026 256 ページ

3.77

111 件の評価

📖 Ai Literacy 🤝 Ai Augmentation 🤖 Generative Ai

Python Scripting for ArcGIS Pro

著： Paul Zandbergen • 2020

Automate ArcGIS Pro: convert a thousand files, rebuild maps, crunch rasters with Python you write.

4.13

🗺️ Geoinformatics 🤖 Geospatial Automation ⚙️ Geoprocessing

Python Scripting for ArcGIS Pro

Automate ArcGIS Pro: convert a thousand files, rebuild maps, crunch rasters with Python you write.

著： Paul Zandbergen 2020 412 ページ

4.13

23 件の評価

🗺️ Geoinformatics 🤖 Geospatial Automation ⚙️ Geoprocessing

The IoT Product Manager

著： Padmaraj Nidagundi • 2022

From prototype to regulation: the handbook that turns engineers and analysts into IoT leaders.

5.00

🧠 Iot Product Management 🔌 Connected Devices 🔄 Product Lifecycle

The IoT Product Manager

From prototype to regulation: the handbook that turns engineers and analysts into IoT leaders.

著： Padmaraj Nidagundi 2022 216 ページ

5.00

1 件の評価

🧠 Iot Product Management 🔌 Connected Devices 🔄 Product Lifecycle

Low-Code AI

著： Gwendolyn Stripling • 2023

Skip Python. Train regression models, engineer features, and explain predictions, all in SQL.

4.33

🛠️ Practical Ml 📊 Data Exploration 🔧 Feature Engineering

Low-Code AI

Skip Python. Train regression models, engineer features, and explain predictions, all in SQL.

著： Gwendolyn Stripling 2023 325 ページ

4.33

6 件の評価

🛠️ Practical Ml 📊 Data Exploration 🔧 Feature Engineering

Python Data Science

著： Christopher Wilkinson • 2019

Python taught for data science: syntax, data structures, and the libraries that unlock the field.

2.50

🐍 Python Programming 📊 Data Science 📐 Programming Fundamentals

Python Data Science

Python taught for data science: syntax, data structures, and the libraries that unlock the field.

著： Christopher Wilkinson 2019 201 ページ

2.50

2 件の評価

🐍 Python Programming 📊 Data Science 📐 Programming Fundamentals

Dive Into Design Patterns

著： 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

Dive Into Design Patterns

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

著： Alexander Shvets 2018 406 ページ

4.66

500+ 件の評価

🧱 Object-Oriented Design 🏗️ Software Architecture 🔁 Design Patterns

AI and Machine Learning for Coders

著： 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

AI and Machine Learning for Coders

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

著： Laurence Moroney 2021 390 ページ

4.09

108 件の評価

🤖 Machine Learning 🧠 Deep Learning 🔵 Tensorflow

Machine Learning For Absolute Beginners

著： Oliver Theobald • 2018

A plain English path from zero to a working model: the algorithms, data prep, and code.

3.96

500+

🤖 Machine Learning Basics 🐍 Python For Data Science 🧹 Data Preparation

Machine Learning For Absolute Beginners

A plain English path from zero to a working model: the algorithms, data prep, and code.

著： Oliver Theobald 2018 166 ページ

3.96

500+ 件の評価

🤖 Machine Learning Basics 🐍 Python For Data Science 🧹 Data Preparation

Learning Python Data Visualization

著： Chad Adams • 2014

Turn spreadsheets and web data into SVG charts with Python, no design background required.

3.00

📊 Data Visualization 🐍 Python Programming 📈 Chart Creation

Learning Python Data Visualization

Turn spreadsheets and web data into SVG charts with Python, no design background required.

著： Chad Adams 2014 212 ページ

3.00

5 件の評価

📊 Data Visualization 🐍 Python Programming 📈 Chart Creation

ChatGPT for Beginners

著： Felix Venture • 2024

ChatGPT's real power lies in how you ask. A four-part prompt framework makes it work.

4.08

🔧 Prompt Engineering 💬 Conversational AI 📚 AI Literacy

ChatGPT for Beginners

ChatGPT's real power lies in how you ask. A four-part prompt framework makes it work.

著： Felix Venture 2024 232 ページ

4.08

12 件の評価

🔧 Prompt Engineering 💬 Conversational AI 📚 AI Literacy

ChatGPT for Beginners

著： Eric Sarrion • 2023

A beginner's guide to making ChatGPT handle email, research, and sales while you focus elsewhere.

2.2

🤖 Chatbot Development ✨ Generative Ai 📝 Prompt Engineering

ChatGPT for Beginners

A beginner's guide to making ChatGPT handle email, research, and sales while you focus elsewhere.

著： Eric Sarrion 2023 524 ページ

2.2

5 件の評価

🤖 Chatbot Development ✨ Generative Ai 📝 Prompt Engineering

Paper Prototyping

著： Carolyn Snyder • 2003

Paper screens, a colleague at the controls: find the fatal flaws while fixing them is free.

3.78

207

🎨 User Experience Design 🧪 Usability Testing ✂️ Rapid Prototyping

Paper Prototyping

Paper screens, a colleague at the controls: find the fatal flaws while fixing them is free.

著： Carolyn Snyder 2003 408 ページ

3.78

207 件の評価

🎨 User Experience Design 🧪 Usability Testing ✂️ Rapid Prototyping

The Mind's Mirror

著： Daniela Rus • 2024

AI extends every human capability, including the worst of us. A framework for the double edge.

3.59

110

📊 Ai Strategy ⚖️ Ai Ethics 💼 Future Of Work

The Mind's Mirror

AI extends every human capability, including the worst of us. A framework for the double edge.

著： Daniela Rus 2024 288 ページ

3.59

110 件の評価

📊 Ai Strategy ⚖️ Ai Ethics 💼 Future Of Work

LLM Adoption in the Enterprise (for True Epub)

著： Isabelle Nguyen

AI demos that never ship: a product-first playbook for turning LLMs into real business value.

🤖 Ai Product Management 🧠 Llm Applications 🏢 Enterprise Ai

LLM Adoption in the Enterprise (for True Epub)

AI demos that never ship: a product-first playbook for turning LLMs into real business value.

著： Isabelle Nguyen

🤖 Ai Product Management 🧠 Llm Applications 🏢 Enterprise Ai

Computer Networking Beginners Guide

著： Axel Ross • 2019

A beginner's CCNA guide where subnetting, wireless, and security are the core, not an afterthought.

4.00

🌐 Computer Networking 🖧 Cisco Certification 🔒 Network Security

Computer Networking Beginners Guide

A beginner's CCNA guide where subnetting, wireless, and security are the core, not an afterthought.

著： Axel Ross 2019 142 ページ

4.00

1 件の評価

🌐 Computer Networking 🖧 Cisco Certification 🔒 Network Security

Testing in Scrum

著： Tilo Linz • 2014

Shift from a last-minute quality gate to testing woven into every sprint and commit.

3.72

🧪 Agile Testing 🔄 Scrum Methodology 🔴 Test Driven Development

Testing in Scrum

Shift from a last-minute quality gate to testing woven into every sprint and commit.

著： Tilo Linz 2014 240 ページ

3.72

25 件の評価

🧪 Agile Testing 🔄 Scrum Methodology 🔴 Test Driven Development

Why Data Science Projects Fail

著： 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

Why Data Science Projects Fail

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

著： Douglas Gray 2024

5.00

19 件の評価

📊 Data Science Management 🤖 Ai Implementation ⚙️ Mlops

Designing Interface Animation

著： Val Head • 2016

Make your UI feel fast, smart, and alive. The motion rules for cognitive ease and 60fps performance.

4.16

🧩 Interface Animation 🎬 Motion Design 🎞️ Classical Animation

Designing Interface Animation

Make your UI feel fast, smart, and alive. The motion rules for cognitive ease and 60fps performance.

著： Val Head 2016 240 ページ

4.16

82 件の評価

🧩 Interface Animation 🎬 Motion Design 🎞️ Classical Animation

The Psychology of Computer Programming

著： Gerald M. Weinberg • 1971

Bugs aren't technical failures but the fingerprints of ego, poor teams, and languages that mislead.

4.06

500+

🧠 Software Psychology 👥 Programming Teams ⚙️ Engineering Management

The Psychology of Computer Programming

Bugs aren't technical failures but the fingerprints of ego, poor teams, and languages that mislead.

著： Gerald M. Weinberg 1971 292 ページ

4.06

500+ 件の評価

🧠 Software Psychology 👥 Programming Teams ⚙️ Engineering Management

Data Structures and Problem Solving Using Java

著： Mark Allen Weiss • 2009

Coding tricks lose to growth rates. The data structures and guarantees that survive at scale.

3.58

🏗️ Data Structures 🧠 Algorithmic Thinking 🕸️ Graph Algorithms

Data Structures and Problem Solving Using Java

Coding tricks lose to growth rates. The data structures and guarantees that survive at scale.

著： Mark Allen Weiss 2009 1032 ページ

3.58

36 件の評価

🏗️ Data Structures 🧠 Algorithmic Thinking 🕸️ Graph Algorithms

Designing the User Experience of Game Development Tools

著： David Lightbown • 2015

Game tools are an unmeasured productivity drain. A UX method for fixing what studios overlook.

4.13

🛠️ Game Development Tools 🖼️ User Interface Design 👥 User-Centered Design

Designing the User Experience of Game Development Tools

Game tools are an unmeasured productivity drain. A UX method for fixing what studios overlook.

著： David Lightbown 2015 188 ページ

4.13

16 件の評価

🛠️ Game Development Tools 🖼️ User Interface Design 👥 User-Centered Design

Rust In Practice

著： Rustacean Team • 2023

No crashes, no data races: Rust's ownership model for reliable systems code.

📀 Systems Programming 🦀 Rust Language 🔒 Memory Safety

Rust In Practice

No crashes, no data races: Rust's ownership model for reliable systems code.

著： Rustacean Team 2023 174 ページ

📀 Systems Programming 🦀 Rust Language 🔒 Memory Safety

Monolith to Microservices

著： 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

Monolith to Microservices

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

著： Sam Newman 2019 255 ページ

4.29

1,000+ 件の評価

🧩 Microservices 🏗️ Software Architecture 🔄 Legacy Modernization

Python for Data Analysis

著： Oscar Scratch • 2019

Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.

3.50

🧮 Scientific Computing 🔄 Data Manipulation 📊 Data Visualization

Python for Data Analysis

Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.

著： Oscar Scratch 2019 249 ページ

3.50

2 件の評価

🧮 Scientific Computing 🔄 Data Manipulation 📊 Data Visualization

Hands-On Quantum Information Processing with Python

著： Dr. Makhamisa Senekane • 2021

Python for quantum computing: from qubits to algorithms, cryptography, and machine learning.

4.00

⚛️ Quantum Computing 💻 Quantum Programming 🧮 Quantum Algorithms

Hands-On Quantum Information Processing with Python

Python for quantum computing: from qubits to algorithms, cryptography, and machine learning.

著： Dr. Makhamisa Senekane 2021 252 ページ

4.00

1 件の評価

⚛️ Quantum Computing 💻 Quantum Programming 🧮 Quantum Algorithms

Python Machine Learning Case Studies

著： Danish Haroon • 2017

Five Python case studies in machine learning: from data cleanup to a scored model, step by step.

2.60

📊 Data Science 🤖 Machine Learning 🔍 Exploratory Data Analysis

Python Machine Learning Case Studies

Five Python case studies in machine learning: from data cleanup to a scored model, step by step.

著： Danish Haroon 2017 221 ページ

2.60

5 件の評価

📊 Data Science 🤖 Machine Learning 🔍 Exploratory Data Analysis

WordPress Security Secrets Revealed

著： Sahil B. • 2023

43% of the web runs on WordPress. The security layers that make your site the hard target.

🔒 Wordpress Security 🛡️ Website Hardening 💾 Backup Strategies

WordPress Security Secrets Revealed

43% of the web runs on WordPress. The security layers that make your site the hard target.

著： Sahil B. 2023 97 ページ

🔒 Wordpress Security 🛡️ Website Hardening 💾 Backup Strategies

Machine Learning

著： Dr Ruchi Doshi • 2021

From training models with labeled data to finding hidden patterns: the algorithms behind modern AI.

5.00

🧠 Machine Learning 📊 Supervised Learning 🧬 Deep Learning

Machine Learning

From training models with labeled data to finding hidden patterns: the algorithms behind modern AI.

著： Dr Ruchi Doshi 2021 294 ページ

5.00

1 件の評価

🧠 Machine Learning 📊 Supervised Learning 🧬 Deep Learning

From CIA to APT

著： Amoroso and Amoroso • 2017

One crack for offense, everything sealed for defense: a map of cybersecurity's core principles.

3.70

🛡️ Cybersecurity Fundamentals 🌐 Network Security 🦠 Malware Analysis

From CIA to APT

One crack for offense, everything sealed for defense: a map of cybersecurity's core principles.

著： Amoroso and Amoroso 2017 179 ページ

3.70

88 件の評価

🛡️ Cybersecurity Fundamentals 🌐 Network Security 🦠 Malware Analysis

Java Deep Learning Essentials

著： Yusuke Sugomori • 2016

Python demos deep learning; Java deploys it. Architectures and libraries to close the gap.

3.20

🧠 Deep Learning ☕ Java Machine Learning 🔧 Practical Deep Learning

Java Deep Learning Essentials

Python demos deep learning; Java deploys it. Architectures and libraries to close the gap.

著： Yusuke Sugomori 2016 254 ページ

3.20

5 件の評価

🧠 Deep Learning ☕ Java Machine Learning 🔧 Practical Deep Learning

Intelligent IoT Projects in 7 Days

著： 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

Intelligent IoT Projects in 7 Days

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

著： Agus Kurniawan 2017 206 ページ

🖥️ Internet Of Things 🔌 Embedded Systems 📚 Project-Based Learning

AI in the Financial Markets

著： Federico Cecconi • 2023

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

📉 Financial Markets 💻 Fintech 🤖 Algorithmic Trading

AI in the Financial Markets

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

著： Federico Cecconi 2023 236 ページ

📉 Financial Markets 💻 Fintech 🤖 Algorithmic Trading

Release It!

著： 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

Release It!

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

著： Michael T. Nygard 2007 350 ページ

4.25

3,000+ 件の評価

🏗️ Software Architecture 🌐 Distributed Systems 🛡️ Fault Tolerance

Linux Kernel Development

著： 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

Linux Kernel Development

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

著： Robert Love 2003 480 ページ

4.34

500+ 件の評価

🖥️ Operating Systems ⚙️ Kernel Internals 💻 Systems Programming

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プログラミング

プログラミング 本の要約

プログラミング本の要約