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

The Staff Engineer's Path

— Tanya Reilly • 2022

Staff engineers lead without authority. Here is the map for navigating that ambiguous role.

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🧭 Tech Leadership 💼 Software Careers 🧩 Systems Thinking 🤝 Influence Without Authority 📈 Career Advancement

The Staff Engineer's Path

Staff engineers lead without authority. Here is the map for navigating that ambiguous role.

— Tanya Reilly 2022 335 стр.

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🧭 Tech Leadership 💼 Software Careers 🧩 Systems Thinking 🤝 Influence Without Authority 📈 Career Advancement

Алгоритмы + структуры данных = программы

— Никлаус Вирт • 1975

Programs are just data structures shaped by algorithms. Master both, and the rest follows.

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🔧 Software Engineering 🧮 Data Structures And Algorithms 📐 Structured Programming 🧩 Modular Design 🐛 Debugging Practices

Алгоритмы + структуры данных = программы

Programs are just data structures shaped by algorithms. Master both, and the rest follows.

— Никлаус Вирт 1975 366 стр.

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🔧 Software Engineering 🧮 Data Structures And Algorithms 📐 Structured Programming 🧩 Modular Design 🐛 Debugging Practices

Building Secure and Reliable Systems

— Heather Adkins • 2020

Build systems that survive attacks and accidents. Google's framework for reliable, secure software.

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🛡️ Software Security 🔧 Site Reliability 🔄 Devops Practices 🔒 Secure Coding 🧪 Testing Strategies

Building Secure and Reliable Systems

Build systems that survive attacks and accidents. Google's framework for reliable, secure software.

— Heather Adkins 2020 541 стр.

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🛡️ Software Security 🔧 Site Reliability 🔄 Devops Practices 🔒 Secure Coding 🧪 Testing Strategies

Docker Deep Dive

— Nigel Poulton • 2017

From zero to production: master Docker's engine, images, swarm, and security, all in one book

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📦 Containerization 🔧 Devops Tools 🗂️ Container Orchestration 🔒 Container Security 🏗️ Infrastructure As Code

Docker Deep Dive

From zero to production: master Docker's engine, images, swarm, and security, all in one book

— Nigel Poulton 2017 418 стр.

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📦 Containerization 🔧 Devops Tools 🗂️ Container Orchestration 🔒 Container Security 🏗️ Infrastructure As Code

The Phoenix Project

— Gene Kim • 2013

An IT manager inherits a hopeless project and a department chained to one indispensable engineer.

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📈 Business Novel ⚙️ Bridging Dev And Ops 👔 Reluctant Leader 🦸 Indispensable Expert 🏢 Corporate America

The Phoenix Project

An IT manager inherits a hopeless project and a department chained to one indispensable engineer.

— Gene Kim 2013 345 стр.

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📈 Business Novel ⚙️ Bridging Dev And Ops 👔 Reluctant Leader 🦸 Indispensable Expert 🏢 Corporate America

The Linux Programming Interface

— Michael Kerrisk • 2010

File descriptors, processes, signals, sockets: the definitive guide to Linux system call interface.

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⚙️ Operating Systems 🐧 Linux Api 🔧 System Programming 🌐 Unix Environment 🔤 C Language

The Linux Programming Interface

File descriptors, processes, signals, sockets: the definitive guide to Linux system call interface.

— Michael Kerrisk 2010 1552 стр.

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⚙️ Operating Systems 🐧 Linux Api 🔧 System Programming 🌐 Unix Environment 🔤 C Language

Python Data Science Handbook

— Jake VanderPlas • 2016

Four libraries, one workflow: the Python path from raw data to validated predictions.

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📊 Data Science 🤖 Machine Learning 🐍 Scientific Python 🧹 Data Preprocessing ⚙️ Feature Engineering

Python Data Science Handbook

Four libraries, one workflow: the Python path from raw data to validated predictions.

— Jake VanderPlas 2016 548 стр.

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📊 Data Science 🤖 Machine Learning 🐍 Scientific Python 🧹 Data Preprocessing ⚙️ Feature Engineering

You Look Like a Thing and I Love You

— Janelle Shane • 2019

AI isn't outsmarting us; it's misnaming a kitten. A tour of machine learning's weirdest failures.

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🤖 Ai Explainers ⚠️ Ai Limitations ⚖️ Algorithmic Bias 🎨 Ai Creativity 😂 Technology Humor

You Look Like a Thing and I Love You

AI isn't outsmarting us; it's misnaming a kitten. A tour of machine learning's weirdest failures.

— Janelle Shane 2019 272 стр.

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🤖 Ai Explainers ⚠️ Ai Limitations ⚖️ Algorithmic Bias 🎨 Ai Creativity 😂 Technology Humor

Python Tricks

— Dan Bader • 2017

Go from writing Python to thinking in Python: the intermediate patterns your tutorials skipped.

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🐍 Python Programming 💡 Pythonic Thinking 🧠 Functional Programming 🏗️ Object Oriented Design 🧩 Metaprogramming

Python Tricks

Go from writing Python to thinking in Python: the intermediate patterns your tutorials skipped.

— Dan Bader 2017 301 стр.

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🐍 Python Programming 💡 Pythonic Thinking 🧠 Functional Programming 🏗️ Object Oriented Design 🧩 Metaprogramming

Site Reliability Engineering

— Betsy Beyer • 2016

Google's operations playbook: why perfect uptime is the wrong target, and what to build instead.

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🧰 Site Reliability 🔄 Devops Culture 🌐 Distributed Systems 📊 Monitoring Systems 🧠 Systems Thinking

Site Reliability Engineering

Google's operations playbook: why perfect uptime is the wrong target, and what to build instead.

— Betsy Beyer 2016 550 стр.

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🧰 Site Reliability 🔄 Devops Culture 🌐 Distributed Systems 📊 Monitoring Systems 🧠 Systems Thinking

Kubernetes Patterns

— Bilgin Ibryam • 2019

Stop wiring containers by hand. 30+ patterns for cloud-native apps on Kubernetes.

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☁️ Cloud Native 🔷 Kubernetes 📦 Container Orchestration 🧩 Design Patterns 🏗️ Software Architecture

Kubernetes Patterns

Stop wiring containers by hand. 30+ patterns for cloud-native apps on Kubernetes.

— Bilgin Ibryam 2019 266 стр.

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☁️ Cloud Native 🔷 Kubernetes 📦 Container Orchestration 🧩 Design Patterns 🏗️ Software Architecture

Automating Salesforce Marketing Cloud

— Greg Gifford • 2022

Automate campaigns, build custom apps, and integrate systems: the guide to SFMC's advanced toolset.

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☁️ Salesforce Marketing Cloud 🤖 Marketing Automation 🔄 Data Pipelines 🔌 Api Integrations ⏱️ Real-Time Marketing

Automating Salesforce Marketing Cloud

Automate campaigns, build custom apps, and integrate systems: the guide to SFMC's advanced toolset.

— Greg Gifford 2022 456 стр.

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☁️ Salesforce Marketing Cloud 🤖 Marketing Automation 🔄 Data Pipelines 🔌 Api Integrations ⏱️ Real-Time Marketing

The Hacker Playbook

— Питер Ким • 2014

Standard lab, silent recon, clean exploits, lateral pivots: the pentester's repeatable playbook.

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🛡️ Penetration Testing 🏴‍☠️ Ethical Hacking 🔒 Network Security 🔴 Red Team Operations 📧 Social Engineering

The Hacker Playbook

Standard lab, silent recon, clean exploits, lateral pivots: the pentester's repeatable playbook.

— Питер Ким 2014 294 стр.

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476 оценок

🛡️ Penetration Testing 🏴‍☠️ Ethical Hacking 🔒 Network Security 🔴 Red Team Operations 📧 Social Engineering

Keycloak - Identity and Access Management for Modern Applications

— Stian Thorgersen • 2021

Production Keycloak from its lead developer: secure APIs, federate users, build custom auth flows.

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📋 Identity Management 🔒 Application Security 🔑 Authentication Protocols 🔐 Single Sign On 🛡️ Api Security

Keycloak - Identity and Access Management for Modern Applications

Production Keycloak from its lead developer: secure APIs, federate users, build custom auth flows.

— Stian Thorgersen 2021 362 стр.

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22 оценок

📋 Identity Management 🔒 Application Security 🔑 Authentication Protocols 🔐 Single Sign On 🛡️ Api Security

Коллекция «Чистый код» Роберта Мартина

— Роберт С. Мартин • 2011

Write code your team can read, your tests protect, and your future self won't curse.

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🧹 Code Quality 🛠️ Software Craftsmanship 🧪 Unit Testing 🔄 Refactoring Techniques 🧱 Separation Of Concerns

Коллекция «Чистый код» Роберта Мартина

Write code your team can read, your tests protect, and your future self won't curse.

— Роберт С. Мартин 2011 699 стр.

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🧹 Code Quality 🛠️ Software Craftsmanship 🧪 Unit Testing 🔄 Refactoring Techniques 🧱 Separation Of Concerns

Think Like a Programmer

— V. Anton Spraul • 2012

A method for the part of programming no one teaches: turning ideas into code.

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🧠 Algorithmic Thinking 📚 Programming Pedagogy ➗ Divide And Conquer 🗺️ Self-Directed Learning 📐 Planning And Design

Think Like a Programmer

A method for the part of programming no one teaches: turning ideas into code.

— V. Anton Spraul 2012 233 стр.

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🧠 Algorithmic Thinking 📚 Programming Pedagogy ➗ Divide And Conquer 🗺️ Self-Directed Learning 📐 Planning And Design

Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People

— Aditya Y. Bhargava • 2015

Algorithms stripped of dense math: a hand-drawn guide to thinking in runtimes and data structures.

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🔢 Algorithm Fundamentals 🧱 Data Structures 🔍 Sorting And Searching 🕸️ Graph Algorithms ✏️ Illustrated Guides

Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People

Algorithms stripped of dense math: a hand-drawn guide to thinking in runtimes and data structures.

— Aditya Y. Bhargava 2015 256 стр.

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🔢 Algorithm Fundamentals 🧱 Data Structures 🔍 Sorting And Searching 🕸️ Graph Algorithms ✏️ Illustrated Guides

Real-World Bug Hunting

— Peter Yaworski • 2019

Twenty classes of web vulnerabilities, how to spot them, and how to write bounty-winning reports.

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🛡️ Web Security 🔓 Ethical Hacking 🧪 Penetration Testing 💰 Bug Bounty Hunting 🔒 Application Security

Real-World Bug Hunting

Twenty classes of web vulnerabilities, how to spot them, and how to write bounty-winning reports.

— Peter Yaworski 2019 264 стр.

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🛡️ Web Security 🔓 Ethical Hacking 🧪 Penetration Testing 💰 Bug Bounty Hunting 🔒 Application Security

Designing Machine Learning Systems

— Chip Huyen • 2022

Accuracy is not enough. An iterative playbook for machine learning systems that survive production.

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⚙️ Machine Learning Engineering 🔧 Mlops 🔄 Iterative Design 📋 Reproducible Ml 🤝 Ensemble Learning

Designing Machine Learning Systems

Accuracy is not enough. An iterative playbook for machine learning systems that survive production.

— Chip Huyen 2022 368 стр.

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⚙️ Machine Learning Engineering 🔧 Mlops 🔄 Iterative Design 📋 Reproducible Ml 🤝 Ensemble Learning

Program or Be Programmed

— Douglas Rushkoff • 2010

Digital tools have biases. If you can't read their code, someone else writes your behavior.

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🌐 Media Ecology ⚖️ Technological Bias 🎮 Digital Agency ⏰ Attention Economy 💻 Code Literacy

Program or Be Programmed

Digital tools have biases. If you can't read their code, someone else writes your behavior.

— Douglas Rushkoff 2010 152 стр.

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🌐 Media Ecology ⚖️ Technological Bias 🎮 Digital Agency ⏰ Attention Economy 💻 Code Literacy

Творческий отбор

— Кен Кочиенда • 2018

How Apple's engineers really worked: no sudden genius, just relentless demos and decisive taste.

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🎨 Product Design 🖥️ User Experience 🔄 Iterative Prototyping ✨ Intuitive Design 👥 Small Team Dynamics

Творческий отбор

How Apple's engineers really worked: no sudden genius, just relentless demos and decisive taste.

— Кен Кочиенда 2018 264 стр.

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🎨 Product Design 🖥️ User Experience 🔄 Iterative Prototyping ✨ Intuitive Design 👥 Small Team Dynamics

The Site Reliability Workbook

— Betsy Beyer • 2018

Reliability as math: SLOs, error budgets, canarying, and the team practices that make it stick.

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🛠️ Site Reliability Engineering 🚀 Devops Practices 🔥 Incident Management 🏆 Operational Excellence 📈 Scalability

The Site Reliability Workbook

Reliability as math: SLOs, error budgets, canarying, and the team practices that make it stick.

— Betsy Beyer 2018 512 стр.

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🛠️ Site Reliability Engineering 🚀 Devops Practices 🔥 Incident Management 🏆 Operational Excellence 📈 Scalability

Zero Trust Networks

— Evan Gilman • 2017

Treat every network as hostile and every packet suspect: an architecture for authenticating it all.

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🛡️ Network Security 🏗️ Security Architecture 🆔 Identity Management 🚪 Access Control 💻 Endpoint Security

Zero Trust Networks

Treat every network as hostile and every packet suspect: an architecture for authenticating it all.

— Evan Gilman 2017 238 стр.

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🛡️ Network Security 🏗️ Security Architecture 🆔 Identity Management 🚪 Access Control 💻 Endpoint Security

Implementing Domain-Driven Design

— Vaughn Vernon • 2013

Software that understands your business: the implementation patterns for domain-driven design.

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🧱 Domain-Driven Design 🏗️ Software Architecture 🏢 Enterprise Applications 📦 Object-Oriented Design 📡 Event-Driven Architecture

Implementing Domain-Driven Design

Software that understands your business: the implementation patterns for domain-driven design.

— Vaughn Vernon 2013 656 стр.

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🧱 Domain-Driven Design 🏗️ Software Architecture 🏢 Enterprise Applications 📦 Object-Oriented Design 📡 Event-Driven Architecture

Managing Humans

— Michael Lopp • 2007

Your best engineer just became your problem. The people skills computer science never taught you.

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🛠️ Engineering Management 🧩 Software Team Dynamics 💬 Team Communication 🔍 Personality Types At Work 🧭 Pragmatic Management

Managing Humans

Your best engineer just became your problem. The people skills computer science never taught you.

— Michael Lopp 2007 380 стр.

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🛠️ Engineering Management 🧩 Software Team Dynamics 💬 Team Communication 🔍 Personality Types At Work 🧭 Pragmatic Management

The Elements of Statistical Learning

— Trevor Hastie • 2001

The unified mathematical engine under linear regression, trees, and neural nets.

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📊 Statistical Learning 🎯 Supervised Learning ✅ Model Evaluation 🤝 Ensemble Learning ⚖️ Regularization Methods

The Elements of Statistical Learning

The unified mathematical engine under linear regression, trees, and neural nets.

— Trevor Hastie 2001 552 стр.

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📊 Statistical Learning 🎯 Supervised Learning ✅ Model Evaluation 🤝 Ensemble Learning ⚖️ Regularization Methods

Java Concurrency in Practice

— Brian Goetz • 2005

Concurrency bugs come from shared mutable state. The Java tools and patterns that eliminate them.

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🧵 Concurrent Programming 🔒 Thread Safety 🧶 Multi-Threading 🖥️ Jvm Internals ☕ Java Development

Java Concurrency in Practice

Concurrency bugs come from shared mutable state. The Java tools and patterns that eliminate them.

— Brian Goetz 2005 432 стр.

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🧵 Concurrent Programming 🔒 Thread Safety 🧶 Multi-Threading 🖥️ Jvm Internals ☕ Java Development

Fluent Python

— Luciano Ramalho • 2015

Why decorators, closures, and type hints are the keys to fluent, idiomatic Python.

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🐍 Advanced Python ⚙️ Metaprogramming λ Functional Programming 🧱 Design Patterns 🏷️ Type Hints

Fluent Python

Why decorators, closures, and type hints are the keys to fluent, idiomatic Python.

— Luciano Ramalho 2015 850 стр.

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🐍 Advanced Python ⚙️ Metaprogramming λ Functional Programming 🧱 Design Patterns 🏷️ Type Hints

Python for Data Analysis

— Wes McKinney • 2011

The pandas creator teaches the full Python data pipeline: messy files in, statistical models out.

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🧹 Data Wrangling 🔬 Scientific Computing 📊 Data Visualization ⏳ Time Series Analysis 📈 Statistical Modeling

Python for Data Analysis

The pandas creator teaches the full Python data pipeline: messy files in, statistical models out.

— Wes McKinney 2011 579 стр.

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🧹 Data Wrangling 🔬 Scientific Computing 📊 Data Visualization ⏳ Time Series Analysis 📈 Statistical Modeling

Laravel

— Matt Stauffer • 2016

Build instead of boilerplate: the PHP framework that ships with ORM, authentication, and a CLI tool.

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🐘 Php Frameworks 🌐 Web Development 🔧 Laravel 🗃️ Object-Relational Mapping 🔗 Api Development

Laravel

Build instead of boilerplate: the PHP framework that ships with ORM, authentication, and a CLI tool.

— Matt Stauffer 2016 454 стр.

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🐘 Php Frameworks 🌐 Web Development 🔧 Laravel 🗃️ Object-Relational Mapping 🔗 Api Development

Bug Bounty Bootcamp

— Вики Ли • 2021

How to turn web hacking into income: recon, exploitation, and the reports that earn bounties.

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🕸️ Web Application Hacking 🪲 Bug Bounty Hunting 🛡️ Ethical Hacking 🔍 Vulnerability Discovery 🔌 Api Security

Bug Bounty Bootcamp

How to turn web hacking into income: recon, exploitation, and the reports that earn bounties.

— Вики Ли 2021 416 стр.

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🕸️ Web Application Hacking 🪲 Bug Bounty Hunting 🛡️ Ethical Hacking 🔍 Vulnerability Discovery 🔌 Api Security

Code Complete

— Steve McConnell • 1993

Software construction eats 80 percent of project time and hides most defects. A disciplined craft.

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📐 Software Engineering 🔍 Code Quality 🛡️ Defensive Programming ⚒️ Software Craftsmanship 🧩 Complexity Management

Code Complete

Software construction eats 80 percent of project time and hides most defects. A disciplined craft.

— Steve McConnell 1993 914 стр.

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📐 Software Engineering 🔍 Code Quality 🛡️ Defensive Programming ⚒️ Software Craftsmanship 🧩 Complexity Management

Production-Ready Microservices

— Susan J. Fowler • 2016

Your microservice isn't production-ready by default. Here's the org-wide framework to change that.

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🧱 Microservices 🏗️ Software Architecture 🌐 Distributed Systems ✅ Production Readiness 🔧 Reliability Engineering

Production-Ready Microservices

Your microservice isn't production-ready by default. Here's the org-wide framework to change that.

— Susan J. Fowler 2016 172 стр.

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🧱 Microservices 🏗️ Software Architecture 🌐 Distributed Systems ✅ Production Readiness 🔧 Reliability Engineering

The Humane Interface

— Jef Raskin • 2000

Modes cause most software errors. Remove modes, and error messages and filenames become unnecessary.

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🖥️ Human-Computer Interaction 🖌️ User Interface Design ✅ Usability 🧠 Cognitive Science 🔁 Habit Design

The Humane Interface

Modes cause most software errors. Remove modes, and error messages and filenames become unnecessary.

— Jef Raskin 2000 233 стр.

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🖥️ Human-Computer Interaction 🖌️ User Interface Design ✅ Usability 🧠 Cognitive Science 🔁 Habit Design

Digital Design

— M. Morris Mano • 1984

The canonical toolkit for turning binary logic into processors, from gates to state machines.

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📐 Logic Design 🔢 Boolean Algebra ✂️ Logic Minimization 📝 Hardware Description Languages 🏗️ Register Transfer Level

Digital Design

The canonical toolkit for turning binary logic into processors, from gates to state machines.

— M. Morris Mano 1984 516 стр.

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📐 Logic Design 🔢 Boolean Algebra ✂️ Logic Minimization 📝 Hardware Description Languages 🏗️ Register Transfer Level

Что делает ChatGPT... и почему это работает?

— Стивен Вольфрам • 2023

ChatGPT is just next-word prediction. The breakthrough is what that reveals about language itself.

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🤖 Large Language Models 🧠 Neural Networks 💬 Ai And Language ⚙️ How Ai Works 💻 Computational Thinking

Что делает ChatGPT... и почему это работает?

ChatGPT is just next-word prediction. The breakthrough is what that reveals about language itself.

— Стивен Вольфрам 2023 143 стр.

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🤖 Large Language Models 🧠 Neural Networks 💬 Ai And Language ⚙️ How Ai Works 💻 Computational Thinking

Working Effectively with Legacy Code

— Michael C. Feathers • 2004

Every change is surgery in the dark. The proven, repeatable path to taming an untested codebase.

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🧓 Legacy Code 🔧 Software Maintenance 🧪 Unit Testing 🔄 Code Refactoring 🎛️ Testability

Working Effectively with Legacy Code

Every change is surgery in the dark. The proven, repeatable path to taming an untested codebase.

— Michael C. Feathers 2004 464 стр.

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🧓 Legacy Code 🔧 Software Maintenance 🧪 Unit Testing 🔄 Code Refactoring 🎛️ Testability

Practical Statistics for Data Scientists

— Peter Bruce • 2017

The statistical methods data scientists use daily, from boxplots to bootstrap, minus the proofs.

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🛠️ Practical Data Science 📈 Applied Statistics 🔍 Exploratory Data Analysis 🎓 Statistical Inference 🔄 Resampling Methods

Practical Statistics for Data Scientists

The statistical methods data scientists use daily, from boxplots to bootstrap, minus the proofs.

— Peter Bruce 2017 315 стр.

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🛠️ Practical Data Science 📈 Applied Statistics 🔍 Exploratory Data Analysis 🎓 Statistical Inference 🔄 Resampling Methods

The Software Engineer's Guidebook

— Gergely Orosz • 2023

The career path beyond senior engineer: what promotion panels evaluate, from startups to Big Tech.

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💻 Software Engineering 🧭 Tech Careers 🏗️ Engineering Leadership ✍️ Code Craft 🤝 Stakeholder Management

The Software Engineer's Guidebook

The career path beyond senior engineer: what promotion panels evaluate, from startups to Big Tech.

— Gergely Orosz 2023 413 стр.

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💻 Software Engineering 🧭 Tech Careers 🏗️ Engineering Leadership ✍️ Code Craft 🤝 Stakeholder Management

Атомарный дизайн

— Брэд Фрост • 2016

Chemistry meets web design: a method for building reusable component systems from the ground up.

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🎨 Interface Design 🧩 Design Systems 🧱 Modular Design 📚 Pattern Libraries 🏛️ Design Governance

Атомарный дизайн

Chemistry meets web design: a method for building reusable component systems from the ground up.

— Брэд Фрост 2016 189 стр.

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🎨 Interface Design 🧩 Design Systems 🧱 Modular Design 📚 Pattern Libraries 🏛️ Design Governance

Art of Intrusion

— Kevin D. Mitnick • 2005

A defender must win every time; an attacker needs just one opening. Ten hacks prove it.

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🛡️ Cybersecurity 🎭 Social Engineering 🔍 Penetration Testing 💻 Hacker Culture 🕵️ Computer Crime

Art of Intrusion

A defender must win every time; an attacker needs just one opening. Ten hacks prove it.

— Kevin D. Mitnick 2005

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🛡️ Cybersecurity 🎭 Social Engineering 🔍 Penetration Testing 💻 Hacker Culture 🕵️ Computer Crime

Game Programming Patterns

— Robert Nystrom • 2011

The programming patterns that make game code resilient to change, and the ones that don't.

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🎮 Game Programming 🧩 Design Patterns 🏗️ Software Architecture ⚡ Performance Optimization 🔗 Decoupling

Game Programming Patterns

The programming patterns that make game code resilient to change, and the ones that don't.

— Robert Nystrom 2011 354 стр.

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🎮 Game Programming 🧩 Design Patterns 🏗️ Software Architecture ⚡ Performance Optimization 🔗 Decoupling

Computer Science Distilled

— Wladston Ferreira Filho • 2017

The missing CS toolkit for self-taught coders: how to think in algorithms, not just syntax.

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🧠 Computational Thinking 🧮 Algorithm Design 🗂️ Data Structures 📊 Complexity Analysis 🎲 Probability Theory

Computer Science Distilled

The missing CS toolkit for self-taught coders: how to think in algorithms, not just syntax.

— Wladston Ferreira Filho 2017

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🧠 Computational Thinking 🧮 Algorithm Design 🗂️ Data Structures 📊 Complexity Analysis 🎲 Probability Theory

Data Structures and Algorithms Made Easy in Java

— Narasimha Karumanchi • 2011

Data structures and algorithms, taught problem by problem in Java. Built for the interview.

4.17

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🧱 Data Structures 🔧 Algorithm Design 💼 Coding Interviews ☕ Java Programming 📚 Cs Fundamentals

Data Structures and Algorithms Made Easy in Java

Data structures and algorithms, taught problem by problem in Java. Built for the interview.

— Narasimha Karumanchi 2011 391 стр.

4.17

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🧱 Data Structures 🔧 Algorithm Design 💼 Coding Interviews ☕ Java Programming 📚 Cs Fundamentals

Hands-On Machine Learning with Scikit-Learn and TensorFlow

— Aurélien Géron • 2017

How neural networks remember: training RNNs, LSTMs, and GRUs for tasks where order matters.

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🧠 Deep Learning 🔗 Neural Networks 🛠️ Practical Ml 📈 Time Series Forecasting 💬 Natural Language Processing

Hands-On Machine Learning with Scikit-Learn and TensorFlow

How neural networks remember: training RNNs, LSTMs, and GRUs for tasks where order matters.

— Aurélien Géron 2017 566 стр.

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🧠 Deep Learning 🔗 Neural Networks 🛠️ Practical Ml 📈 Time Series Forecasting 💬 Natural Language Processing

Design Patterns

— Erich Gamma • 1994

Twenty-three reusable design solutions that became the shared grammar of object-oriented software.

4.20

11 000+

🏗️ Object-Oriented Design 🏛️ Software Architecture 🧩 Design Patterns 📐 Pattern Languages ✏️ Code Design

Design Patterns

Twenty-three reusable design solutions that became the shared grammar of object-oriented software.

— Erich Gamma 1994 416 стр.

4.20

11 000+ оценок

🏗️ Object-Oriented Design 🏛️ Software Architecture 🧩 Design Patterns 📐 Pattern Languages ✏️ Code Design

Software Architecture Patterns for Serverless Systems

— John Gilbert • 2021

Coupling kills innovation. Event-driven patterns for autonomous services that ship change safely.

4.29

⚡ Serverless Architecture 📨 Event-Driven Architecture 🧩 Microservices 🌐 Distributed Systems ☁️ Cloud Native

Software Architecture Patterns for Serverless Systems

Coupling kills innovation. Event-driven patterns for autonomous services that ship change safely.

— John Gilbert 2021 432 стр.

4.29

24 оценок

⚡ Serverless Architecture 📨 Event-Driven Architecture 🧩 Microservices 🌐 Distributed Systems ☁️ Cloud Native

Peopleware

— Tom DeMarco • 1987

Technology isn't what sinks software projects. Meetings, floor plans, and lonely teams sink them.

4.14

9 000+

📊 Software Management 🔧 Engineering Culture 🤝 Team Dynamics 🏢 Workplace Design 👥 Hiring And Retention

Peopleware

Technology isn't what sinks software projects. Meetings, floor plans, and lonely teams sink them.

— Tom DeMarco 1987 272 стр.

4.14

9 000+ оценок

📊 Software Management 🔧 Engineering Culture 🤝 Team Dynamics 🏢 Workplace Design 👥 Hiring And Retention

An Elegant Puzzle

— Will Larson • 2019

Engineering management is a systems problem. Design your org as carefully as your code.

4.07

3 000+

🛠️ Engineering Management 🏗️ Organizational Design 🧠 Systems Thinking 👥 Talent Management 📊 Engineering Metrics

An Elegant Puzzle

Engineering management is a systems problem. Design your org as carefully as your code.

— Will Larson 2019 288 стр.

4.07

3 000+ оценок

🛠️ Engineering Management 🏗️ Organizational Design 🧠 Systems Thinking 👥 Talent Management 📊 Engineering Metrics

Software Architecture in Practice

— Len Bass • 2021

The first design choices are the hardest to undo. A playbook for getting them right.

3.85

500+

🏗️ Software Design ⚖️ Quality Attributes 🌐 Distributed Systems 💸 Technical Debt 👷 Software Architects

Software Architecture in Practice

The first design choices are the hardest to undo. A playbook for getting them right.

— Len Bass 2021 464 стр.

3.85

500+ оценок

🏗️ Software Design ⚖️ Quality Attributes 🌐 Distributed Systems 💸 Technical Debt 👷 Software Architects

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