Программирование

Цифровой мир оживает благодаря экспертному руководству по созданию элегантного кода, построению интуитивных интерфейсов и проектированию надёжных систем. Эти практические издания освещают искусство и науку разработки программного обеспечения — от стратегий стартапов до практик чистого кода, от принципов геймдизайна до мудрости веб-юзабилити.

Программирование Саммари книг

Big Breaches

— Neil Daswani • 2021

The handful of missteps behind every mega-breach, and the fixes any organization can put in place.

4.27

💥 Data Breach Prevention 🛡️ Cybersecurity Management 🎭 Social Engineering 🔑 Encryption Practices 🦠 Malware Defense

Big Breaches

The handful of missteps behind every mega-breach, and the fixes any organization can put in place.

— Neil Daswani 2021 495 стр.

4.27

41 оценок

💥 Data Breach Prevention 🛡️ Cybersecurity Management 🎭 Social Engineering 🔑 Encryption Practices 🦠 Malware Defense

Python Programming

— John Zelle • 2003

A Python-first CS textbook that teaches what computation can do, not just how to code.

4.02

483

📘 Introductory Programming 🐍 Python Programming 🧮 Algorithm Fundamentals 🏗️ Object-Oriented Design 🔄 Software Development

Python Programming

A Python-first CS textbook that teaches what computation can do, not just how to code.

— John Zelle 2003 528 стр.

4.02

483 оценок

📘 Introductory Programming 🐍 Python Programming 🧮 Algorithm Fundamentals 🏗️ Object-Oriented Design 🔄 Software Development

Domain-Driven Design

— Eric Evans • 2003

Software's hardest problem isn't code; it's the shared vocabulary between experts and developers.

4.15

5 000+

🧱 Domain Modeling 📐 Software Architecture 📦 Object-Oriented Design 🏢 Enterprise Software 🧩 Modular Design

Domain-Driven Design

Software's hardest problem isn't code; it's the shared vocabulary between experts and developers.

— Eric Evans 2003 560 стр.

4.15

5 000+ оценок

🧱 Domain Modeling 📐 Software Architecture 📦 Object-Oriented Design 🏢 Enterprise Software 🧩 Modular Design

Data Structures and Algorithms

— Alfred V. Aho • 1983

Write code that scales: the classic mathematical toolkit for reasoning about speed before you run.

3.93

245

🧱 Data Structures ⏱️ Algorithm Analysis 🔨 Algorithm Design 💡 Language-Agnostic Programming 🔢 Sorting Algorithms

Data Structures and Algorithms

Write code that scales: the classic mathematical toolkit for reasoning about speed before you run.

— Alfred V. Aho 1983 448 стр.

3.93

245 оценок

🧱 Data Structures ⏱️ Algorithm Analysis 🔨 Algorithm Design 💡 Language-Agnostic Programming 🔢 Sorting Algorithms

Learning Agile

— Andrew Stellman • 2013

Four methodologies, one mindset: going beyond the rituals of Scrum, XP, Lean, and Kanban.

4.09

500+

🔄 Agile Frameworks 📦 Lean Thinking 🧪 Extreme Programming 🚀 Continuous Delivery ⏳ Iterative Delivery

Learning Agile

Four methodologies, one mindset: going beyond the rituals of Scrum, XP, Lean, and Kanban.

— Andrew Stellman 2013 417 стр.

4.09

500+ оценок

🔄 Agile Frameworks 📦 Lean Thinking 🧪 Extreme Programming 🚀 Continuous Delivery ⏳ Iterative Delivery

The Art of Agile Development

— James Shore • 2007

Weekly deployments and single-digit bug counts: the whole XP practice set that gets you there.

3.98

500+

⚙️ Extreme Programming 🔄 Agile Development 🏭 Lean Software ✨ Software Craftsmanship 🤝 Team Practices

The Art of Agile Development

Weekly deployments and single-digit bug counts: the whole XP practice set that gets you there.

— James Shore 2007 438 стр.

3.98

500+ оценок

⚙️ Extreme Programming 🔄 Agile Development 🏭 Lean Software ✨ Software Craftsmanship 🤝 Team Practices

Doing Data Science

— Cathy O'Neil • 2013

Your model is lying to you. The ninety percent of data science that algorithms won't fix.

3.73

500+

📊 Data Science 📈 Statistical Thinking 🧹 Data Wrangling 🔧 Feature Engineering 🔗 Causal Inference

Doing Data Science

Your model is lying to you. The ninety percent of data science that algorithms won't fix.

— Cathy O'Neil 2013 405 стр.

3.73

500+ оценок

📊 Data Science 📈 Statistical Thinking 🧹 Data Wrangling 🔧 Feature Engineering 🔗 Causal Inference

HTML5

— Mark Pilgrim • 2010

Plugins are dying: video, graphics, and storage now live in the browser itself. Here is how.

3.97

500+

🌐 Web Development 💻 Frontend Development 🏷️ Semantic Markup 📐 Web Standards 🔌 Browser Apis

HTML5

Plugins are dying: video, graphics, and storage now live in the browser itself. Here is how.

— Mark Pilgrim 2010 207 стр.

3.97

500+ оценок

🌐 Web Development 💻 Frontend Development 🏷️ Semantic Markup 📐 Web Standards 🔌 Browser Apis

Seven Concurrency Models in Seven Weeks

— Paul Butcher • 2014

Threads unravel programs. Seven concurrency models that don't, from actors and CSP to GPU parallel.

3.82

349

🧩 Concurrency Patterns ⚡ Parallel Programming 🎭 Actor Model λ Functional Concurrency 🎮 GPGPU Computing

Seven Concurrency Models in Seven Weeks

Threads unravel programs. Seven concurrency models that don't, from actors and CSP to GPU parallel.

— Paul Butcher 2014 267 стр.

3.82

349 оценок

🧩 Concurrency Patterns ⚡ Parallel Programming 🎭 Actor Model λ Functional Concurrency 🎮 GPGPU Computing

Smart and Gets Things Done

— Spolsky • 2007

Why great engineers are worth ten times the average, and the interview tactics that reveal them.

4.00

1 000+

🖥️ Tech Hiring 🛠️ Engineering Management 🎙️ Interviewing Techniques 🎯 Recruiting Strategies 🧱 Team Building

Smart and Gets Things Done

Why great engineers are worth ten times the average, and the interview tactics that reveal them.

— Spolsky 2007 200 стр.

4.00

1 000+ оценок

🖥️ Tech Hiring 🛠️ Engineering Management 🎙️ Interviewing Techniques 🎯 Recruiting Strategies 🧱 Team Building

Head First Design Patterns

— Eric Freeman • 2004

Twelve patterns that keep software flexible: the visual guide that makes them stick.

4.30

9 000+

🧩 Design Patterns 📐 Object-Oriented Design 🏗️ Software Architecture 🛠️ Maintainable Code 🔗 Loose Coupling

Head First Design Patterns

Twelve patterns that keep software flexible: the visual guide that makes them stick.

— Eric Freeman 2004 638 стр.

4.30

9 000+ оценок

🧩 Design Patterns 📐 Object-Oriented Design 🏗️ Software Architecture 🛠️ Maintainable Code 🔗 Loose Coupling

Machine Learning Simplified

— Andrew Wolf • 2022

Supervised learning, gently: pipeline, optimization, and the real reasons your model overfits.

4.87

193

🎯 Supervised Learning 📚 Machine Learning Fundamentals 📊 Statistical Learning ✅ Model Evaluation 🧹 Data Preprocessing

Machine Learning Simplified

Supervised learning, gently: pipeline, optimization, and the real reasons your model overfits.

— Andrew Wolf 2022 109 стр.

4.87

193 оценок

🎯 Supervised Learning 📚 Machine Learning Fundamentals 📊 Statistical Learning ✅ Model Evaluation 🧹 Data Preprocessing

Fixing your Scrum

— Ryan Ripley • 2020

When sprints ship nothing and standups ring hollow, the framework isn't your problem.

4.32

125

🔄 Scrum 🏃 Agile Methodology 🤝 Servant Leadership 🎯 Agile Coaching 📋 Product Ownership

Fixing your Scrum

When sprints ship nothing and standups ring hollow, the framework isn't your problem.

— Ryan Ripley 2020 200 стр.

4.32

125 оценок

🔄 Scrum 🏃 Agile Methodology 🤝 Servant Leadership 🎯 Agile Coaching 📋 Product Ownership

Python for Informatics

— Charles Severance • 2002

Learn Python by probing data: scrape the web, query databases, and make the file system obey.

3.99

500+

🐍 Python Programming 📘 Introductory Programming ℹ️ Informatics 🔄 Data Manipulation 🕸️ Web Scraping

Python for Informatics

Learn Python by probing data: scrape the web, query databases, and make the file system obey.

— Charles Severance 2002 244 стр.

3.99

500+ оценок

🐍 Python Programming 📘 Introductory Programming ℹ️ Informatics 🔄 Data Manipulation 🕸️ Web Scraping

Agile Testing

— Lisa Crispin • 2008

Shift quality left: a practical guide to weaving testing into every day of agile development.

3.82

1 000+

🔄 Agile Development 🧪 Software Testing 🤖 Test Automation 🔗 Continuous Integration 🔍 Exploratory Testing

Agile Testing

Shift quality left: a practical guide to weaving testing into every day of agile development.

— Lisa Crispin 2008 533 стр.

3.82

1 000+ оценок

🔄 Agile Development 🧪 Software Testing 🤖 Test Automation 🔗 Continuous Integration 🔍 Exploratory Testing

Confident Data Skills

— Kirill Eremenko • 2018

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

4.12

211

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

Confident Data Skills

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

— Kirill Eremenko 2018 272 стр.

4.12

211 оценок

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

Learn Windows PowerShell in a Month of Lunches

— Don Jones • 2011

Stop navigating wizards. Fluency in the shell, fitted into the gaps in your calendar.

4.30

500+

🖥️ Windows Administration ⚡ Powershell Scripting 💻 System Administration 📚 Hands-On Tutorials 🤖 Sysadmin Automation

Learn Windows PowerShell in a Month of Lunches

Stop navigating wizards. Fluency in the shell, fitted into the gaps in your calendar.

— Don Jones 2011 343 стр.

4.30

500+ оценок

🖥️ Windows Administration ⚡ Powershell Scripting 💻 System Administration 📚 Hands-On Tutorials 🤖 Sysadmin Automation

A People’s History of Computing in the United States

— Joy Lisi Rankin • 2018

The PC erased a decade of shared computing where users were creators, not customers.

3.49

193

🏛️ People's History 💻 Computing Before PCs 🎓 Educational Computing 🌐 Early Computing Networks ⌨️ Programming Culture

A People’s History of Computing in the United States

The PC erased a decade of shared computing where users were creators, not customers.

— Joy Lisi Rankin 2018 336 стр.

3.49

193 оценок

🏛️ People's History 💻 Computing Before PCs 🎓 Educational Computing 🌐 Early Computing Networks ⌨️ Programming Culture

97 Things Every Project Manager Should Know

— Barbee Davis • 2009

97 short, practical lessons on shipping software, leading teams, and keeping your stakeholders sane.

3.21

140

📋 Project Management 💻 Software Development 🔄 Agile Practices 🧭 Team Leadership 🔧 Continuous Improvement

97 Things Every Project Manager Should Know

97 short, practical lessons on shipping software, leading teams, and keeping your stakeholders sane.

— Barbee Davis 2009 250 стр.

3.21

140 оценок

📋 Project Management 💻 Software Development 🔄 Agile Practices 🧭 Team Leadership 🔧 Continuous Improvement

Algorithm Design

— Jon Kleinberg • 2005

Design algorithms that run fast; recognize the problems that never will; and learn the workarounds.

4.17

500+

🧮 Algorithm Design ⏱️ Computational Complexity 🕸️ Graph Theory 🧩 Dynamic Programming 🚫 Np Completeness

Algorithm Design

Design algorithms that run fast; recognize the problems that never will; and learn the workarounds.

— Jon Kleinberg 2005 864 стр.

4.17

500+ оценок

🧮 Algorithm Design ⏱️ Computational Complexity 🕸️ Graph Theory 🧩 Dynamic Programming 🚫 Np Completeness

Computer Networks and Internets

— Douglas E. Comer • 1996

Networking as a system, not a spec sheet: the lasting foundation under every protocol war.

3.74

131

💻 Computer Networking 📋 Network Protocols 📡 Data Communications 🌐 Tcp/Ip 🔗 Internetworking

Computer Networks and Internets

Networking as a system, not a spec sheet: the lasting foundation under every protocol war.

— Douglas E. Comer 1996 768 стр.

3.74

131 оценок

💻 Computer Networking 📋 Network Protocols 📡 Data Communications 🌐 Tcp/Ip 🔗 Internetworking

Agile Software Development

— Alistair Cockburn • 2006

Your process is never the bottleneck. Software projects move at the speed of a single conversation.

3.99

404

🤝 Software Teams 🔄 Agile Methodology 💬 Team Communication 🧠 Tacit Knowledge 📐 Lean Thinking

Agile Software Development

Your process is never the bottleneck. Software projects move at the speed of a single conversation.

— Alistair Cockburn 2006 504 стр.

3.99

404 оценок

🤝 Software Teams 🔄 Agile Methodology 💬 Team Communication 🧠 Tacit Knowledge 📐 Lean Thinking

Scrum Shortcuts Without Cutting Corners

— Ilan Goldstein • 2013

How to ship working software every sprint without cutting the corners that hold Scrum together.

4.06

211

🧱 Agile Frameworks 🏉 Scrum Methodology 💻 Software Development ⚖️ Relative Estimation 🔄 Continuous Improvement

Scrum Shortcuts Without Cutting Corners

How to ship working software every sprint without cutting the corners that hold Scrum together.

— Ilan Goldstein 2013 208 стр.

4.06

211 оценок

🧱 Agile Frameworks 🏉 Scrum Methodology 💻 Software Development ⚖️ Relative Estimation 🔄 Continuous Improvement

PHP Solutions

— David Powers • 2006

Dynamic sites from scratch: plain PHP for form handling, sessions, databases, and server-side logic.

3.91

148

🐘 Php And Mysql 🌐 Web Development 🖥️ Server-Side Scripting 🐣 Beginner Friendly ⚡ Dynamic Websites

PHP Solutions

Dynamic sites from scratch: plain PHP for form handling, sessions, databases, and server-side logic.

— David Powers 2006 512 стр.

3.91

148 оценок

🐘 Php And Mysql 🌐 Web Development 🖥️ Server-Side Scripting 🐣 Beginner Friendly ⚡ Dynamic Websites

Practices of an Agile Developer

— Venkat Subramaniam • 2006

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

3.88

1 000+

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

Practices of an Agile Developer

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

— Venkat Subramaniam 2006 204 стр.

3.88

1 000+ оценок

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

Microsoft Excel for Stock and Option Traders

— Jeff Augen • 2011

Build a trading lab in Excel: volatility models, backtests, and the edge most traders miss.

3.17

🧮 Quantitative Trading 📊 Excel For Finance 📈 Options Trading 🔄 Backtesting Strategies 📉 Volatility Analysis

Microsoft Excel for Stock and Option Traders

Build a trading lab in Excel: volatility models, backtests, and the edge most traders miss.

— Jeff Augen 2011 195 стр.

3.17

12 оценок

🧮 Quantitative Trading 📊 Excel For Finance 📈 Options Trading 🔄 Backtesting Strategies 📉 Volatility Analysis

Programming the Raspberry Pi

— Simon Monk • 2012

From blinking LED to autonomous rover: a hands-on guide to the Raspberry Pi and Python.

3.82

420

🖥️ Single-Board Computers 🐍 Python For Hardware 🐧 Linux Basics 🛠️ Project-Based Learning 🤖 Robotics Fundamentals

Programming the Raspberry Pi

From blinking LED to autonomous rover: a hands-on guide to the Raspberry Pi and Python.

— Simon Monk 2012 170 стр.

3.82

420 оценок

🖥️ Single-Board Computers 🐍 Python For Hardware 🐧 Linux Basics 🛠️ Project-Based Learning 🤖 Robotics Fundamentals

Object-oriented Programming with C++

— E. Balagurusamy • 1994

Classes, inheritance, templates: C++ tools for building software that scales without falling apart.

3.98

278

🧱 Object Orientation 💻 C++📐 Oop Principles 🧩 Generic Programming 💾 Memory Management

Object-oriented Programming with C++

Classes, inheritance, templates: C++ tools for building software that scales without falling apart.

— E. Balagurusamy 1994 336 стр.

3.98

278 оценок

🧱 Object Orientation 💻 C++📐 Oop Principles 🧩 Generic Programming 💾 Memory Management

Algorithms of the Intelligent Web

— Haralambos Marmanis • 2009

Search, recommend, cluster, classify: the algorithms that make web applications intelligent.

3.62

130

🤖 Machine Learning 🌐 Web Applications 🎯 Recommendation Systems 📄 Text Mining ⛏️ Data Mining

Algorithms of the Intelligent Web

Search, recommend, cluster, classify: the algorithms that make web applications intelligent.

— Haralambos Marmanis 2009 3445 стр.

3.62

130 оценок

🤖 Machine Learning 🌐 Web Applications 🎯 Recommendation Systems 📄 Text Mining ⛏️ Data Mining

Learning OpenCV

— Gary Bradski • 2008

From smoothing to machine learning: the complete OpenCV toolkit for building computer vision apps.

4.01

171

🖥️ Computer Vision 🌄 Image Processing 📚 Open Source Libraries ⚙️ Algorithm Guides 📖 Code Reference

Learning OpenCV

From smoothing to machine learning: the complete OpenCV toolkit for building computer vision apps.

— Gary Bradski 2008 575 стр.

4.01

171 оценок

🖥️ Computer Vision 🌄 Image Processing 📚 Open Source Libraries ⚙️ Algorithm Guides 📖 Code Reference

Understanding Software

— Max Kanat-Alexander • 2017

Code that's easy to write is hard to maintain. Here's how to flip that equation.

3.58

179

🛠️ Software Craftsmanship 🧹 Code Quality 🔍 Debugging Methods 🏚️ Technical Debt ⏱️ Developer Productivity

Understanding Software

Code that's easy to write is hard to maintain. Here's how to flip that equation.

— Max Kanat-Alexander 2017 280 стр.

3.58

179 оценок

🛠️ Software Craftsmanship 🧹 Code Quality 🔍 Debugging Methods 🏚️ Technical Debt ⏱️ Developer Productivity

Data Structures and Algorithms Made Easy

— 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.

— Narasimha Karumanchi 2011

4.10

1 000+ оценок

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

Platform Engineering

— 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.

— Camille Fournier 2024 322 стр.

4.03

119 оценок

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

Fundamentals of Data Engineering

— 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.

— Joe Reis 2022 426 стр.

4.16

500+ оценок

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

Java Cookbook

— Ian F. Darwin • 2001

Everyday Java challenges and the clean, working code that defeats them, from I/O to lambdas.

3.69

162

☕ Java Programming 👨‍🍳 Recipe Cookbook 🧩 Design Patterns 🏗️ Object-Oriented Programming λ Functional Java

Java Cookbook

Everyday Java challenges and the clean, working code that defeats them, from I/O to lambdas.

— Ian F. Darwin 2001 638 стр.

3.69

162 оценок

☕ Java Programming 👨‍🍳 Recipe Cookbook 🧩 Design Patterns 🏗️ Object-Oriented Programming λ Functional Java

Functional Programming for Java Developers

— Dean Wampler • 2011

Immutability kills whole categories of concurrency bugs. The functional tools Java developers need.

3.27

126

🧑‍💻 Functional Programming ⚡ Concurrent Programming ☕ Java Development 🔒 Immutable Data 🏷️ Type Systems

Functional Programming for Java Developers

Immutability kills whole categories of concurrency bugs. The functional tools Java developers need.

— Dean Wampler 2011 90 стр.

3.27

126 оценок

🧑‍💻 Functional Programming ⚡ Concurrent Programming ☕ Java Development 🔒 Immutable Data 🏷️ Type Systems

Nexus Framework for Scaling Scrum, The

— 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.

— Kurt Bittner 2017 176 стр.

4.13

122 оценок

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

AI and Machine Learning for On-Device Development

— Laurence Moroney • 2021

Privacy-respecting on-device AI: face detection, text analysis, custom models. No cloud, no PhD.

4.17

📱 Mobile Development 🧠 On-Device Ai 🤖 Applied Machine Learning 🚀 Model Deployment 👁️ Computer Vision

AI and Machine Learning for On-Device Development

Privacy-respecting on-device AI: face detection, text analysis, custom models. No cloud, no PhD.

— Laurence Moroney 2021 326 стр.

4.17

6 оценок

📱 Mobile Development 🧠 On-Device Ai 🤖 Applied Machine Learning 🚀 Model Deployment 👁️ Computer Vision

Python 3 Object-Oriented Programming

— Dusty Phillips • 2010

Python simplifies object-oriented design: patterns, inheritance, and iterators the Pythonic way.

4.02

247

🖥️ Object-Oriented Programming 🐍 Python Programming 🔧 Software Design 🎯 Design Patterns 📊 Data Structures

Python 3 Object-Oriented Programming

Python simplifies object-oriented design: patterns, inheritance, and iterators the Pythonic way.

— Dusty Phillips 2010 431 стр.

4.02

247 оценок

🖥️ Object-Oriented Programming 🐍 Python Programming 🔧 Software Design 🎯 Design Patterns 📊 Data Structures

Practicing Trustworthy Machine Learning

— Yada Pruksachatkun • 2023

Privacy, fairness, explainability, robustness: the engineering guide for ML models that earn trust.

4.95

111

🤖 Responsible Ai ⚙️ Ml Engineering ⚖️ Model Fairness 🔍 Explainable Ai 🔒 Privacy-Preserving Ml

Practicing Trustworthy Machine Learning

Privacy, fairness, explainability, robustness: the engineering guide for ML models that earn trust.

— Yada Pruksachatkun 2023 300 стр.

4.95

111 оценок

🤖 Responsible Ai ⚙️ Ml Engineering ⚖️ Model Fairness 🔍 Explainable Ai 🔒 Privacy-Preserving Ml

The Quick Python Book

— 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.

— Naomi R. Ceder 2000 367 стр.

3.87

277 оценок

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

The Game Maker's Apprentice

— Jacob Habgood • 2006

Build games without writing code: a visual logic system that teaches design as you go.

3.94

148

🎮 Game Development Basics 🕹️ 2D Game Creation 🧩 Drag And Drop Coding 🎨 Game Design For Beginners 🏗️ Level Design

The Game Maker's Apprentice

Build games without writing code: a visual logic system that teaches design as you go.

— Jacob Habgood 2006 336 стр.

3.94

148 оценок

🎮 Game Development Basics 🕹️ 2D Game Creation 🧩 Drag And Drop Coding 🎨 Game Design For Beginners 🏗️ Level Design

Ansible

— 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.

— Lorin Hochstein 2014 334 стр.

3.88

270 оценок

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

Getting Started With Raspberry Pi

— Matt Richardson • 2012

A credit-card-sized Linux board: learn to build gadgets that detect, respond, and serve web pages.

3.85

322

🖥️ Single Board Computers 🔌 Physical Computing 💻 Linux Command Line 🐍 Python For Hardware 🔗 Arduino Integration

Getting Started With Raspberry Pi

A credit-card-sized Linux board: learn to build gadgets that detect, respond, and serve web pages.

— Matt Richardson 2012 161 стр.

3.85

322 оценок

🖥️ Single Board Computers 🔌 Physical Computing 💻 Linux Command Line 🐍 Python For Hardware 🔗 Arduino Integration

Identity and Data Security for Web Development

— Jonathan LeBlanc • 2016

Assume the database will be breached: the encryption, authentication, and UX tradeoffs worth making.

3.33

🔒 Web Security 🔐 Applied Cryptography 🔑 Authentication Systems 🛡️ Secure Coding 🗄️ Data Protection

Identity and Data Security for Web Development

Assume the database will be breached: the encryption, authentication, and UX tradeoffs worth making.

— Jonathan LeBlanc 2016 204 стр.

3.33

43 оценок

🔒 Web Security 🔐 Applied Cryptography 🔑 Authentication Systems 🛡️ Secure Coding 🗄️ Data Protection

Raspberry Pi User Guide

— Eben Upton • 2012

Blank SD card to blinking LED: the official guide to the tiny computer built for hacking.

3.83

500+

🖥️ Single-Board Computers 🐧 Linux For Beginners 💻 Introductory Programming 🔧 Hardware Hacking ⚡ Diy Electronics

Raspberry Pi User Guide

Blank SD card to blinking LED: the official guide to the tiny computer built for hacking.

— Eben Upton 2012 264 стр.

3.83

500+ оценок

🖥️ Single-Board Computers 🐧 Linux For Beginners 💻 Introductory Programming 🔧 Hardware Hacking ⚡ Diy Electronics

Fundamentals of Software Architecture

— 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.

— Mark Richards 2020 422 стр.

4.24

2 000+ оценок

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

Deep Learning Design Patterns

— Andrew Ferlitsch • 2021

Data shift crushed your model? Simple design patterns push accuracy from 10% to 98%.

4.67

🧠 Deep Learning 👁️ Computer Vision 🔄 Data Augmentation 📊 Distribution Shifts 🏭 Production Ml

Deep Learning Design Patterns

Data shift crushed your model? Simple design patterns push accuracy from 10% to 98%.

— Andrew Ferlitsch 2021 400 стр.

4.67

3 оценок

🧠 Deep Learning 👁️ Computer Vision 🔄 Data Augmentation 📊 Distribution Shifts 🏭 Production Ml

Neural Network for Beginners

— Sebastian Klaas • 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.

— Sebastian Klaas 2021 256 стр.

5.00

1 оценок

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

Learning Domain-Driven Design

— 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.

— Vladik Khononov 2021 340 стр.

4.43

500+ оценок

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

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