Техническая

Цифровой мир оживает благодаря экспертному руководству по языкам программирования, архитектуре программного обеспечения и основам веб-разработки. Эти практические ресурсы помогают читателям освоить современные технологии, создавать надёжные приложения и писать элегантный код, выдерживающий испытание временем.

Техническая Саммари книг

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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9 000+ оценок

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

The Clean Coder

— Robert C. Martin • 2011

A pro programmer's real job: saying no, keeping promises, staying calm when the build breaks.

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💼 Developer Conduct 🔨 Software Craftsmanship 💎 Code Quality 🧪 Automated Testing ⏰ Time Management

The Clean Coder

A pro programmer's real job: saying no, keeping promises, staying calm when the build breaks.

— Robert C. Martin 2011 210 стр.

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9 000+ оценок

💼 Developer Conduct 🔨 Software Craftsmanship 💎 Code Quality 🧪 Automated Testing ⏰ Time 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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460 оценок

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

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

Option Volatility & Pricing

— Sheldon Natenberg • 1988

Options are insurance: the art is pricing volatility, using the Greeks, and questioning the models.

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📊 Options Trading 🧮 Quantitative Finance 📉 Volatility Modeling 📜 Financial Derivatives 💰 Arbitrage

Option Volatility & Pricing

Options are insurance: the art is pricing volatility, using the Greeks, and questioning the models.

— Sheldon Natenberg 1988 469 стр.

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📊 Options Trading 🧮 Quantitative Finance 📉 Volatility Modeling 📜 Financial Derivatives 💰 Arbitrage

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

Clean Code in Python

— Mariano Anaya • 2018

Python decorators, descriptors, generators: most teams misuse them. Here is the clean way.

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🐍 Python Programming 🔨 Software Craftsmanship ✅ Code Quality 🪶 Pythonic Idioms 🧱 Solid Principles

Clean Code in Python

Python decorators, descriptors, generators: most teams misuse them. Here is the clean way.

— Mariano Anaya 2018 332 стр.

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130 оценок

🐍 Python Programming 🔨 Software Craftsmanship ✅ Code Quality 🪶 Pythonic Idioms 🧱 Solid Principles

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

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

Тайны мышления шахматиста

— Александр Котов • 1970

How grandmasters actually think: a systematic method for analyzing every possibility once only.

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♟️ Chess Training 🔍 Systematic Analysis 🧩 Positional Understanding 🗺️ Strategic Planning 📚 Soviet Chess School

Тайны мышления шахматиста

How grandmasters actually think: a systematic method for analyzing every possibility once only.

— Александр Котов 1970 187 стр.

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380 оценок

♟️ Chess Training 🔍 Systematic Analysis 🧩 Positional Understanding 🗺️ Strategic Planning 📚 Soviet Chess School

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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1 000+ оценок

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

Storytelling with Data

— Cole Nussbaumer Knaflic • 2019

Turn chart clutter into clear stories. Practice exercises that make your data impossible to ignore.

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📊 Data Visualization 💼 Business Presentations 📖 Visual Storytelling 📈 Chart Design 🗣️ Data Communication

Storytelling with Data

Turn chart clutter into clear stories. Practice exercises that make your data impossible to ignore.

— Cole Nussbaumer Knaflic 2019 448 стр.

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179 оценок

📊 Data Visualization 💼 Business Presentations 📖 Visual Storytelling 📈 Chart Design 🗣️ Data Communication

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.

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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.

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471 оценок

🧱 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.

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🏗️ 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.

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

Topology

— James R. Munkres • 1974

A donut and a coffee cup are the same shape. The rigorous text that proves it.

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🔢 Topological Spaces 📏 Metric Spaces 🔗 Compactness 🧩 Connectedness 📊 Separation Axioms

Topology

A donut and a coffee cup are the same shape. The rigorous text that proves it.

— James R. Munkres 1974 537 стр.

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🔢 Topological Spaces 📏 Metric Spaces 🔗 Compactness 🧩 Connectedness 📊 Separation Axioms

Charting and Technical Analysis

— Fred McAllen • 2010

Price and volume tell a story. Learn to read it and time your trades with precision.

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📊 Chart Reading 📈 Technical Analysis 🕯️ Candlestick Patterns 📉 Trend Analysis 🛡️ Risk Management

Charting and Technical Analysis

Price and volume tell a story. Learn to read it and time your trades with precision.

— Fred McAllen 2010 277 стр.

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1 000+ оценок

📊 Chart Reading 📈 Technical Analysis 🕯️ Candlestick Patterns 📉 Trend Analysis 🛡️ Risk Management

Software Architecture in Practice

— Len Bass • 2021

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

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🏗️ 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.

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

Веб-аналитика 2.0

— Авинаш Каушик • 2009

Your web data is lying to you. The framework that turns page views into decisions.

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🖥️ Digital Analytics 🎯 Performance Indicators 🧪 Online Experimentation 👥 Customer Intelligence 📈 Conversion Optimization

Веб-аналитика 2.0

Your web data is lying to you. The framework that turns page views into decisions.

— Авинаш Каушик 2009 475 стр.

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1 000+ оценок

🖥️ Digital Analytics 🎯 Performance Indicators 🧪 Online Experimentation 👥 Customer Intelligence 📈 Conversion Optimization

Kali Linux Revealed

— Raphaël Hertzog • 2017

Deploy Kali Linux like a pro: from verified download to custom, attack-ready distro.

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🎯 Penetration Testing ⚖️ Ethical Hacking 🐧 Linux Administration 📋 Security Assessments 💻 Command Line Basics

Kali Linux Revealed

Deploy Kali Linux like a pro: from verified download to custom, attack-ready distro.

— Raphaël Hertzog 2017 342 стр.

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155 оценок

🎯 Penetration Testing ⚖️ Ethical Hacking 🐧 Linux Administration 📋 Security Assessments 💻 Command Line Basics

Site Reliability Engineering

— Betsy Beyer • 2016

Google stopped chasing perfect uptime. Its teams got failure budgets, and innovation surged.

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🏗️ Site Reliability 🔄 Devops Practices 📜 Infrastructure As Code 📋 Blameless Postmortems 👀 Observability

Site Reliability Engineering

Google stopped chasing perfect uptime. Its teams got failure budgets, and innovation surged.

— Betsy Beyer 2016 550 стр.

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🏗️ Site Reliability 🔄 Devops Practices 📜 Infrastructure As Code 📋 Blameless Postmortems 👀 Observability

High Performance Browser Networking

— Ilya Grigorik • 2013

The network is your slowest component. Master the protocols and browser APIs that make it fast.

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🚀 Web Performance 🌐 Network Protocols 📱 Mobile Performance 🔄 Real-Time Web 📡 Http Optimization

High Performance Browser Networking

The network is your slowest component. Master the protocols and browser APIs that make it fast.

— Ilya Grigorik 2013 398 стр.

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🚀 Web Performance 🌐 Network Protocols 📱 Mobile Performance 🔄 Real-Time Web 📡 Http Optimization

Modern Software Engineering

— David Farley • 2021

Software is not a craft; it's a science. The discipline that turns teams into learning machines.

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🔬 Scientific Engineering 🔄 Continuous Delivery 🔁 Feedback Loops 🧱 Modularity 🧪 Testability

Modern Software Engineering

Software is not a craft; it's a science. The discipline that turns teams into learning machines.

— David Farley 2021 256 стр.

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🔬 Scientific Engineering 🔄 Continuous Delivery 🔁 Feedback Loops 🧱 Modularity 🧪 Testability

Tidy First?

— Kent Beck • 2023

Software cost is coupling, and tidying is an investment: when to do it, when to ship.

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🛠️ Software Design 🔧 Refactoring Techniques ✨ Code Quality 🔗 Coupling And Cohesion 📐 Incremental Design

Tidy First?

Software cost is coupling, and tidying is an investment: when to do it, when to ship.

— Kent Beck 2023 122 стр.

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🛠️ Software Design 🔧 Refactoring Techniques ✨ Code Quality 🔗 Coupling And Cohesion 📐 Incremental Design

Linear Algebra Done Right

— Sheldon Axler • 1995

Where operators rule and determinants wait: a rigorous second course in linear algebra.

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📐 Linear Algebra 🔍 Math Proofs ⚙️ Operator Theory 🎓 Math Majors 📏 Rigorous Math

Linear Algebra Done Right

Where operators rule and determinants wait: a rigorous second course in linear algebra.

— Sheldon Axler 1995 251 стр.

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📐 Linear Algebra 🔍 Math Proofs ⚙️ Operator Theory 🎓 Math Majors 📏 Rigorous Math

The Hundred-Page Machine Learning Book

— Andriy Burkov • 2019

The one-sitting machine learning education: a hundred pages, no code, every algorithm that matters.

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🤖 Machine Learning 📊 Data Science 📚 Classical Machine Learning 📈 Statistical Learning 🏫 Supervised Learning

The Hundred-Page Machine Learning Book

The one-sitting machine learning education: a hundred pages, no code, every algorithm that matters.

— Andriy Burkov 2019 159 стр.

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🤖 Machine Learning 📊 Data Science 📚 Classical Machine Learning 📈 Statistical Learning 🏫 Supervised Learning

Impact Mapping

— Gojko Adzic • 2012

Software ships, but results don't. Tie every feature to a business goal with visual planning.

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🧱 Software Project Management 🗺️ Product Roadmapping 📊 Visual Planning 🎯 Goal Alignment 🔄 Iterative Delivery

Impact Mapping

Software ships, but results don't. Tie every feature to a business goal with visual planning.

— Gojko Adzic 2012 93 стр.

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🧱 Software Project Management 🗺️ Product Roadmapping 📊 Visual Planning 🎯 Goal Alignment 🔄 Iterative Delivery

Think Python

— Allen B. Downey • 2012

Python taught as problem decomposition: mastering variables, functions, and data structures.

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🐍 Python Programming 🧱 Programming Fundamentals 🧠 Computational Thinking 🌱 Beginner Programmers 📐 Code Design

Think Python

Python taught as problem decomposition: mastering variables, functions, and data structures.

— Allen B. Downey 2012 296 стр.

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1 000+ оценок

🐍 Python Programming 🧱 Programming Fundamentals 🧠 Computational Thinking 🌱 Beginner Programmers 📐 Code Design

Observability Engineering

— Charity Majors • 2022

Your dashboards only know yesterday's failures. Here's how to debug the ones nobody predicted.

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🔍 Observability 🏗️ Site Reliability Engineering 🌐 Distributed Systems 🔄 Devops Culture 🚨 Incident Response

Observability Engineering

Your dashboards only know yesterday's failures. Here's how to debug the ones nobody predicted.

— Charity Majors 2022 318 стр.

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319 оценок

🔍 Observability 🏗️ Site Reliability Engineering 🌐 Distributed Systems 🔄 Devops Culture 🚨 Incident Response

Cracking the Coding Interview

— Gayle Laakmann McDowell • 2020

189 interview problems that teach you to think out loud, because code follows from thinking.

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🧑‍💻 Coding Interviews 🧠 Algorithm Problems 🗂️ Data Structures 🧑‍🏫 New Engineers ⏱️ Big O Notation

Cracking the Coding Interview

189 interview problems that teach you to think out loud, because code follows from thinking.

— Gayle Laakmann McDowell 2020 712 стр.

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476 оценок

🧑‍💻 Coding Interviews 🧠 Algorithm Problems 🗂️ Data Structures 🧑‍🏫 New Engineers ⏱️ Big O Notation

Seeking SRE

— Дэвид Н. Бланк-Эдельман • 2018

The SRE playbook for organizations without a Google-sized reliability team.

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🌐 Site Reliability 🔄 Devops Practices ⚙️ Production Engineering 👁️ Observability 🚀 Continuous Delivery

Seeking SRE

The SRE playbook for organizations without a Google-sized reliability team.

— Дэвид Н. Бланк-Эдельман 2018 587 стр.

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116 оценок

🌐 Site Reliability 🔄 Devops Practices ⚙️ Production Engineering 👁️ Observability 🚀 Continuous Delivery

Operating System Concepts

— Abraham Silberschatz • 1985

There is exactly one program that never stops on your computer; everything else negotiates with it.

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🖥️ Operating Systems ⚙️ Kernel Design 💻 Virtualization 🔧 Systems Programming 📚 Cs Fundamentals

Operating System Concepts

There is exactly one program that never stops on your computer; everything else negotiates with it.

— Abraham Silberschatz 1985 921 стр.

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🖥️ Operating Systems ⚙️ Kernel Design 💻 Virtualization 🔧 Systems Programming 📚 Cs Fundamentals

Data Science from Scratch

— Joel Grus • 2015

Real understanding comes from building algorithms yourself, not calling libraries others wrote.

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🐍 Python For Data Science ⚙️ Algorithm Implementation 📊 Statistical Thinking 📐 Applied Linear Algebra 🤖 Machine Learning Basics

Data Science from Scratch

Real understanding comes from building algorithms yourself, not calling libraries others wrote.

— Joel Grus 2015 403 стр.

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🐍 Python For Data Science ⚙️ Algorithm Implementation 📊 Statistical Thinking 📐 Applied Linear Algebra 🤖 Machine Learning Basics

Learning SQL

— Alan Beaulieu • 2005

The SQL guide from beginner to analytics, with exercises for lasting fluency.

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🗄️ Sql Databases ✍️ Query Writing 📝 Data Manipulation 🔗 Relational Databases 🏗️ Database Design

Learning SQL

The SQL guide from beginner to analytics, with exercises for lasting fluency.

— Alan Beaulieu 2005 377 стр.

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🗄️ Sql Databases ✍️ Query Writing 📝 Data Manipulation 🔗 Relational Databases 🏗️ Database Design

Head First Java

— Kathy Sierra • 2006

A Java guide that fits how your brain learns: puzzles, doodles, and stories that actually stick.

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🍵 Java Language 🏗️ Object-Oriented Design 👁️ Visual Learning 🏋️ Active Learning 🧱 Software Fundamentals

Head First Java

A Java guide that fits how your brain learns: puzzles, doodles, and stories that actually stick.

— Kathy Sierra 2006 720 стр.

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4 000+ оценок

🍵 Java Language 🏗️ Object-Oriented Design 👁️ Visual Learning 🏋️ Active Learning 🧱 Software Fundamentals

Learn C# in One Day and Learn It Well

— Jamie Chan • 2015

C# from zero to a working payroll app in one sitting: learn by building, not reading.

4.04

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🖥️ C# Programming 🧱 Object-Oriented Programming 🌱 Beginner Programming 🔨 Hands-On Projects ⚡ Crash Courses

Learn C# in One Day and Learn It Well

C# from zero to a working payroll app in one sitting: learn by building, not reading.

— Jamie Chan 2015 160 стр.

4.04

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🖥️ C# Programming 🧱 Object-Oriented Programming 🌱 Beginner Programming 🔨 Hands-On Projects ⚡ Crash Courses

Чистый Agile. Основы гибкости

— Роберт С. Мартин • 2019

Agile's real secret isn't standups: it's testing first, pairing, and merciless simplification.

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🏃 Agile Methodology 💻 Software Development 🔧 Software Craftsmanship 🧪 Test-Driven Development ⚡ Extreme Programming

Чистый Agile. Основы гибкости

Agile's real secret isn't standups: it's testing first, pairing, and merciless simplification.

— Роберт С. Мартин 2019

4.24

1 000+ оценок

🏃 Agile Methodology 💻 Software Development 🔧 Software Craftsmanship 🧪 Test-Driven Development ⚡ Extreme Programming

Eloquent JavaScript

— Marijn Haverbeke • 2010

Build an interpreter while learning JavaScript: the fundamentals-first approach that lasts.

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🟨 Javascript Programming 🔷 Functional Programming 📘 Language Fundamentals 🔮 Metaprogramming 🧑‍💻 Learning To Code

Eloquent JavaScript

Build an interpreter while learning JavaScript: the fundamentals-first approach that lasts.

— Marijn Haverbeke 2010 224 стр.

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🟨 Javascript Programming 🔷 Functional Programming 📘 Language Fundamentals 🔮 Metaprogramming 🧑‍💻 Learning To Code

Deep Learning with Python

— François Chollet • 2017

The Keras creator teaches you to build neural networks that see, read, and create in Python.

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🧠 Deep Learning 🐍 Python Programming 🏋️ Model Training 👁️ Computer Vision 💬 Natural Language Processing

Deep Learning with Python

The Keras creator teaches you to build neural networks that see, read, and create in Python.

— François Chollet 2017 350 стр.

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🧠 Deep Learning 🐍 Python Programming 🏋️ Model Training 👁️ Computer Vision 💬 Natural Language Processing

Practical SQL

— Anthony DeBarros • 2022

Write real SQL: load data, join tables, run statistics, map locations, and query JSON in PostgreSQL.

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💾 Sql 📊 Data Analysis 🗃️ Relational Databases 📖 Data Storytelling 🛠️ Learn By Doing

Practical SQL

Write real SQL: load data, join tables, run statistics, map locations, and query JSON in PostgreSQL.

— Anthony DeBarros 2022 427 стр.

4.26

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💾 Sql 📊 Data Analysis 🗃️ Relational Databases 📖 Data Storytelling 🛠️ Learn By Doing

How Linux Works

— Brian Ward • 2004

Linux hides nothing. Its internals are legible, learnable, and waiting for you to take control.

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🐧 Linux Internals 💻 Operating Systems 🖥️ Command Line 📜 Shell Scripting 🔧 System Administration

How Linux Works

Linux hides nothing. Its internals are legible, learnable, and waiting for you to take control.

— Brian Ward 2004 368 стр.

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1 000+ оценок

🐧 Linux Internals 💻 Operating Systems 🖥️ Command Line 📜 Shell Scripting 🔧 System Administration

Natural Language Processing with Transformers

— Lewis Tunstall • 2022

Build NLP applications with the open-source stack that turned transformer research practical.

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🗣️ Natural Language Processing 🧠 Deep Learning 🤖 Transformers 🔄 Transfer Learning 🔧 Open Source Tools

Natural Language Processing with Transformers

Build NLP applications with the open-source stack that turned transformer research practical.

— Lewis Tunstall 2022 406 стр.

4.39

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🗣️ Natural Language Processing 🧠 Deep Learning 🤖 Transformers 🔄 Transfer Learning 🔧 Open Source Tools

Artificial Intelligence For Dummies (For Dummies

— John Paul Mueller • 2018

AI is math, not magic. A plain-English guide to what machine learning can and cannot do.

3.41

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🤖 Ai For Beginners 📖 Ai Literacy 🎯 Narrow Ai 🧠 Deep Learning ⚖️ Ai Ethics

Artificial Intelligence For Dummies (For Dummies

AI is math, not magic. A plain-English guide to what machine learning can and cannot do.

— John Paul Mueller 2018 368 стр.

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🤖 Ai For Beginners 📖 Ai Literacy 🎯 Narrow Ai 🧠 Deep Learning ⚖️ Ai Ethics

Time Management for System Administrators

— Thomas A. Limoncelli • 2005

Your brain is not a ticketing system. Capture everything, script the rest, and leave at five.

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🖥️ It Operations 💼 Tech Careers 🛑 Interruption Management 📅 Daily Planning 🔁 Routine Design

Time Management for System Administrators

Your brain is not a ticketing system. Capture everything, script the rest, and leave at five.

— Thomas A. Limoncelli 2005 226 стр.

4.21

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🖥️ It Operations 💼 Tech Careers 🛑 Interruption Management 📅 Daily Planning 🔁 Routine Design

Learning JavaScript Design Patterns

— Addy Osmani • 2011

Design patterns translated for React: hooks, modules, and the rendering approach your app needs.

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🧱 Design Patterns 🏗️ Frontend Architecture 📁 Code Organization 🧩 Component Composition 🏛️ Software Architecture

Learning JavaScript Design Patterns

Design patterns translated for React: hooks, modules, and the rendering approach your app needs.

— Addy Osmani 2011 296 стр.

3.83

500+ оценок

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