프로그래밍

우아한 코드 작성, 직관적인 인터페이스 구축, 견고한 시스템 설계에 대한 전문적인 안내를 통해 디지털 세계가 생생하게 펼쳐집니다. 이 실용적인 도서들은 스타트업 전략에서 클린 코딩 실천, 게임 디자인 원칙에서 웹 사용성의 지혜에 이르기까지 소프트웨어 개발의 예술과 과학을 조명합니다.

프로그래밍 도서 요약

Rise of Generative AI and ChatGPT

저자: 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 💬 Natural Language Processing 📖 Ai Literacy

Rise of Generative AI and ChatGPT

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

저자: Utpal Chakraborty 2023 250 페이지

1.33

12 개의 평점

🧠 Generative Ai 💼 Ai In Business ⚖️ Ai Ethics 💬 Natural Language Processing 📖 Ai Literacy

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 Journey to Enterprise Agility

저자: 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 🤲 Servant Leadership 🔁 Continuous Improvement

The Journey to Enterprise Agility

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

저자: Daryl Kulak 2017 305 페이지

4.36

39 개의 평점

🧠 Systems Thinking 🏢 Enterprise Agility 🛠️ Software Craftsmanship 🤲 Servant Leadership 🔁 Continuous Improvement

What Are ChatGPT and Its Friends?

저자: 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?

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

저자: Mike Loukides 2023

4.00

7 개의 평점

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

Neural Network for Beginners

저자: 세바스티안 클라스 • 2021

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

5.00

🧠 Machine Learning 🧬 Deep Learning 🔗 Neural Networks 🔧 From Scratch Coding 👁️ Image Recognition

Neural Network for Beginners

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

저자: 세바스티안 클라스 2021 256 페이지

5.00

1 개의 평점

🧠 Machine Learning 🧬 Deep Learning 🔗 Neural Networks 🔧 From Scratch Coding 👁️ Image Recognition

Scrum Insights for Practitioners

저자: 히렌 도시 • 2016

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

4.19

186

🏃 Agile Methodologies 📚 Scrum Framework 💻 Software Development 📋 Project Management 🤝 Team Collaboration

Scrum Insights for Practitioners

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

저자: 히렌 도시 2016 106 페이지

4.19

186 개의 평점

🏃 Agile Methodologies 📚 Scrum Framework 💻 Software Development 📋 Project Management 🤝 Team Collaboration

Five Lines of Code

저자: 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 ⚠️ Technical Debt 🔨 Software Craftsmanship

Five Lines of Code

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

저자: Christian Clausen 2021 336 페이지

3.99

84 개의 평점

🛠️ Code Refactoring 🔷 Object-Oriented Design ✅ Code Quality ⚠️ Technical Debt 🔨 Software Craftsmanship

Unlocking Agility

저자: Jorgen Hesselberg • 2018

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

4.38

🔄 Agile Transformation 🏢 Organizational Change 📐 Lean Methodology 🌱 Culture Change 🤲 Servant Leadership

Unlocking Agility

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

저자: Jorgen Hesselberg 2018 368 페이지

4.38

80 개의 평점

🔄 Agile Transformation 🏢 Organizational Change 📐 Lean Methodology 🌱 Culture Change 🤲 Servant Leadership

AI for Data Science

저자: Zacharias Voulgaris • 2018

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

4.55

📊 Data Science 🧠 Deep Learning ⚙️ Optimization Algorithms 🤝 Ensemble Methods 📈 Big Data Analytics

AI for Data Science

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

저자: Zacharias Voulgaris 2018 289 페이지

4.55

20 개의 평점

📊 Data Science 🧠 Deep Learning ⚙️ Optimization Algorithms 🤝 Ensemble Methods 📈 Big Data Analytics

Cracking the Tech Career

저자: 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 📄 Resume Writing 🤝 Professional Networking

Cracking the Tech Career

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

저자: Gayle Laakmann McDowell 2014 275 페이지

4.02

436 개의 평점

💻 Tech Careers 📝 Interview Preparation 🧑‍💻 Coding Interviews 📄 Resume Writing 🤝 Professional Networking

Invent To Learn

저자: 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 🔄 Iterative Design 🧪 Tinkering

Invent To Learn

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

저자: Sylvia Libow Martinez 2013 252 페이지

4.17

500+ 개의 평점

🛠️ Maker Education 📁 Project-Based Learning 📐 Constructionism 🔄 Iterative Design 🧪 Tinkering

The 8088 and 8086 Microprocessors

저자: 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 🖥️ Computer Hardware 🧩 Embedded Systems

The 8088 and 8086 Microprocessors

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

저자: Walter A. Triebel 1991 1040 페이지

4.17

195 개의 평점

🧱 Microprocessor Architecture 🔢 Assembly Language 💻 Intel X86 🖥️ Computer Hardware 🧩 Embedded Systems

Understanding Large Language Models

저자: 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 ✍️ Prompt Engineering ⚖️ Ai Ethics

Understanding Large Language Models

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

저자: Thimira Amaratunga 2023 169 페이지

5.00

1 개의 평점

🗣️ Natural Language Processing 🤖 Generative Ai 📖 Ai Literacy ✍️ Prompt Engineering ⚖️ Ai Ethics

Soft Skills to Advance Your Developer Career

저자: 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 💰 Salary Negotiation 📋 Interview Preparation

Soft Skills to Advance Your Developer Career

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

저자: Zsolt Nagy 2019 314 페이지

3.67

9 개의 평점

💻 Developer Soft Skills 🗣️ Communication Skills 🏷️ Personal Branding 💰 Salary Negotiation 📋 Interview Preparation

Data Structures and Algorithms in Java

저자: 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 📈 Algorithm Analysis 🧩 Software Design

Data Structures and Algorithms in Java

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

저자: Michael T. Goodrich 1998 720 페이지

3.86

302 개의 평점

🧱 Data Structures ⚙️ Algorithms 🏗️ Algorithm Design 📈 Algorithm Analysis 🧩 Software Design

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

How to AI

저자: 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 🏭 Ai Adoption 🧠 Human Centered Ai

How to AI

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

저자: Christopher Mims 2026 256 페이지

3.77

111 개의 평점

📖 Ai Literacy 🤝 Ai Augmentation 🤖 Generative Ai 🏭 Ai Adoption 🧠 Human Centered Ai

Python Scripting for ArcGIS Pro

저자: Paul Zandbergen • 2020

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

4.13

🗺️ Geoinformatics 🤖 Geospatial Automation ⚙️ Geoprocessing 📊 Spatial Analysis 📜 Geodata Scripting

Python Scripting for ArcGIS Pro

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

저자: Paul Zandbergen 2020 412 페이지

4.13

23 개의 평점

🗺️ Geoinformatics 🤖 Geospatial Automation ⚙️ Geoprocessing 📊 Spatial Analysis 📜 Geodata Scripting

The IoT Product Manager

저자: 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 📈 Moving Into Management 🔒 Data Security And Privacy

The IoT Product Manager

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

저자: Padmaraj Nidagundi 2022 216 페이지

5.00

1 개의 평점

🧠 Iot Product Management 🔌 Connected Devices 🔄 Product Lifecycle 📈 Moving Into Management 🔒 Data Security And Privacy

Low-Code AI

저자: Gwendolyn Stripling • 2023

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

4.33

🛠️ Practical Ml 📊 Data Exploration 🔧 Feature Engineering 🔍 Model Interpretability 🧩 Low-Code Platforms

Low-Code AI

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

저자: Gwendolyn Stripling 2023 325 페이지

4.33

6 개의 평점

🛠️ Practical Ml 📊 Data Exploration 🔧 Feature Engineering 🔍 Model Interpretability 🧩 Low-Code Platforms

Python Data Science

저자: 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 🔧 Data Analysis Tools 🌐 Python Ecosystem

Python Data Science

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

저자: Christopher Wilkinson 2019 201 페이지

2.50

2 개의 평점

🐍 Python Programming 📊 Data Science 📐 Programming Fundamentals 🔧 Data Analysis Tools 🌐 Python Ecosystem

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

Machine Learning For Absolute Beginners

저자: 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 🎯 Supervised Learning 🧠 Neural Networks

Machine Learning For Absolute Beginners

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

저자: Oliver Theobald 2018 166 페이지

3.96

500+ 개의 평점

🤖 Machine Learning Basics 🐍 Python For Data Science 🧹 Data Preparation 🎯 Supervised Learning 🧠 Neural Networks

Learning Python Data Visualization

저자: 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 🎨 Svg Graphics 🕸️ Web Scraping

Learning Python Data Visualization

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

저자: Chad Adams 2014 212 페이지

3.00

5 개의 평점

📊 Data Visualization 🐍 Python Programming 📈 Chart Creation 🎨 Svg Graphics 🕸️ Web Scraping

ChatGPT for Beginners

저자: 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 🆕 Beginner Guides ⚖️ AI Ethics

ChatGPT for Beginners

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

저자: Felix Venture 2024 232 페이지

4.08

12 개의 평점

🔧 Prompt Engineering 💬 Conversational AI 📚 AI Literacy 🆕 Beginner Guides ⚖️ AI Ethics

ChatGPT for Beginners

저자: 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 ⚙️ Workflow Automation 👶 Ai For Beginners

ChatGPT for Beginners

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

저자: Eric Sarrion 2023 524 페이지

2.2

5 개의 평점

🤖 Chatbot Development ✨ Generative Ai 📝 Prompt Engineering ⚙️ Workflow Automation 👶 Ai For Beginners

Paper Prototyping

저자: 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 🔄 Iterative Design 🔍 User Research

Paper Prototyping

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

저자: Carolyn Snyder 2003 408 페이지

3.78

207 개의 평점

🎨 User Experience Design 🧪 Usability Testing ✂️ Rapid Prototyping 🔄 Iterative Design 🔍 User Research

The Mind's Mirror

저자: 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 🤖 Machine Learning 🏛️ Technology Governance

The Mind's Mirror

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

저자: Daniela Rus 2024 288 페이지

3.59

110 개의 평점

📊 Ai Strategy ⚖️ Ai Ethics 💼 Future Of Work 🤖 Machine Learning 🏛️ Technology Governance

LLM Adoption in the Enterprise (for True Epub)

저자: 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 ✍️ Prompt Engineering 🔄 Rapid Prototyping

LLM Adoption in the Enterprise (for True Epub)

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

저자: Isabelle Nguyen

🤖 Ai Product Management 🧠 Llm Applications 🏢 Enterprise Ai ✍️ Prompt Engineering 🔄 Rapid Prototyping

Computer Networking Beginners Guide

저자: 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 📡 Wireless Networking 🧮 Subnetting

Computer Networking Beginners Guide

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

저자: Axel Ross 2019 142 페이지

4.00

1 개의 평점

🌐 Computer Networking 🖧 Cisco Certification 🔒 Network Security 📡 Wireless Networking 🧮 Subnetting

Testing in Scrum

저자: 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 🔗 Continuous Integration ✅ Software Quality

Testing in Scrum

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

저자: Tilo Linz 2014 240 페이지

3.72

25 개의 평점

🧪 Agile Testing 🔄 Scrum Methodology 🔴 Test Driven Development 🔗 Continuous Integration ✅ Software Quality

Why Data Science Projects Fail

저자: 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

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

저자: Douglas Gray 2024

5.00

19 개의 평점

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

Designing Interface Animation

저자: 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 🧠 Cognitive Load ⚡ Performance Optimization

Designing Interface Animation

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

저자: Val Head 2016 240 페이지

4.16

82 개의 평점

🧩 Interface Animation 🎬 Motion Design 🎞️ Classical Animation 🧠 Cognitive Load ⚡ Performance Optimization

The Psychology of Computer Programming

저자: 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 🧩 Human Factors 📋 Code Quality

The Psychology of Computer Programming

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

저자: Gerald M. Weinberg 1971 292 페이지

4.06

500+ 개의 평점

🧠 Software Psychology 👥 Programming Teams ⚙️ Engineering Management 🧩 Human Factors 📋 Code Quality

Data Structures and Problem Solving Using Java

저자: 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 🔄 Recursion 🧱 Object Oriented Design

Data Structures and Problem Solving Using Java

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

저자: Mark Allen Weiss 2009 1032 페이지

3.58

36 개의 평점

🏗️ Data Structures 🧠 Algorithmic Thinking 🕸️ Graph Algorithms 🔄 Recursion 🧱 Object Oriented Design

Designing the User Experience of Game Development Tools

저자: 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 🔍 Usability Testing 🧠 Cognitive Design

Designing the User Experience of Game Development Tools

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

저자: David Lightbown 2015 188 페이지

4.13

16 개의 평점

🛠️ Game Development Tools 🖼️ User Interface Design 👥 User-Centered Design 🔍 Usability Testing 🧠 Cognitive Design

Rust In Practice

저자: Rustacean Team • 2023

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

📀 Systems Programming 🦀 Rust Language 🔒 Memory Safety ⚡ Concurrency 🛡️ Compile-Time Safety

Rust In Practice

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

저자: Rustacean Team 2023 174 페이지

📀 Systems Programming 🦀 Rust Language 🔒 Memory Safety ⚡ Concurrency 🛡️ Compile-Time Safety

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

Python for Data Analysis

저자: 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 🐍 Introductory Programming 📈 Beginner Data Science

Python for Data Analysis

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

저자: Oscar Scratch 2019 249 페이지

3.50

2 개의 평점

🧮 Scientific Computing 🔄 Data Manipulation 📊 Data Visualization 🐍 Introductory Programming 📈 Beginner Data Science

Hands-On Quantum Information Processing with Python

저자: Dr. Makhamisa Senekane • 2021

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

4.00

⚛️ Quantum Computing 💻 Quantum Programming 🧮 Quantum Algorithms 🔐 Quantum Cryptography 🤖 Quantum Machine Learning

Hands-On Quantum Information Processing with Python

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

저자: Dr. Makhamisa Senekane 2021 252 페이지

4.00

1 개의 평점

⚛️ Quantum Computing 💻 Quantum Programming 🧮 Quantum Algorithms 🔐 Quantum Cryptography 🤖 Quantum Machine Learning

Python Machine Learning Case Studies

저자: 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 ⚙️ Feature Engineering 📐 Model Evaluation

Python Machine Learning Case Studies

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

저자: Danish Haroon 2017 221 페이지

2.60

5 개의 평점

📊 Data Science 🤖 Machine Learning 🔍 Exploratory Data Analysis ⚙️ Feature Engineering 📐 Model Evaluation

WordPress Security Secrets Revealed

저자: 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 🌐 Web Application Security 🧱 Defense In Depth

WordPress Security Secrets Revealed

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

저자: Sahil B. 2023 97 페이지

🔒 Wordpress Security 🛡️ Website Hardening 💾 Backup Strategies 🌐 Web Application Security 🧱 Defense In Depth

Machine Learning

저자: 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 🕹️ Reinforcement Learning 🛠️ Feature Engineering

Machine Learning

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

저자: Dr Ruchi Doshi 2021 294 페이지

5.00

1 개의 평점

🧠 Machine Learning 📊 Supervised Learning 🧬 Deep Learning 🕹️ Reinforcement Learning 🛠️ Feature Engineering

From CIA to APT

저자: 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 🔐 Applied Cryptography 🧱 Layered Defense

From CIA to APT

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

저자: Amoroso and Amoroso 2017 179 페이지

3.70

88 개의 평점

🛡️ Cybersecurity Fundamentals 🌐 Network Security 🦠 Malware Analysis 🔐 Applied Cryptography 🧱 Layered Defense

Java Deep Learning Essentials

저자: 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 👁️ Computer Vision 🗣️ Natural Language Processing

Java Deep Learning Essentials

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

저자: Yusuke Sugomori 2016 254 페이지

3.20

5 개의 평점

🧠 Deep Learning ☕ Java Machine Learning 🔧 Practical Deep Learning 👁️ Computer Vision 🗣️ Natural Language Processing

Intelligent IoT Projects in 7 Days

저자: 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

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

저자: Agus Kurniawan 2017 206 페이지

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

AI in the Financial Markets

저자: 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

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

저자: Federico Cecconi 2023 236 페이지

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

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

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

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