volk adrian (37 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Softcover. 27 x 17 cm. 12 Originalbroschuren, etwas randbestoßen, ein Vorderdeckel mit altem Stempel und Signatur des Dillenburger Gymnasiums. Je Band etwa 145 - 180 Seiten, reich einfarbig bebildert mit Fotografien und Illustrationen. Nur vereinzelt schwach randfleckig, insgesamt innen sauber und gut erhalten. Hügel/ Dietzel 893 - Reich illustrierte Rundschau-Zeitschrift mit photographischen Aufnahmen der bekanntesten deutschen Photographen der Zeit, wie z.B. Perckhammer, Wolff, Retzlaff, Renger-Patzsch, Hoffmann, Seidenstücker, Hielscher, Lendvai-Dircksen u.a. -- Bitte Portokosten außerhalb EU erfragen! / Please ask for postage costs outside EU! / S ' il vous plait demander des frais de port en dehors de l ' UE! // Bitte beachten Sie auch unsere Fotos! / Please also note our photos! / Veuillez noter nos photos -- Genießen Sie den Jahresanfang mit unterhaltender Lektüre! - Bei uns finden Sie das richtige Geschenk! -- Wir kaufen Ihre werthaltigen Bücher! Kue03098.

Paperback. Zustand: new. Paperback. What if the expansion of the universe began not at a telescope-but at a desk where a woman was paid to measure light she was forbidden to observe?In 1923, Edwin Hubble identified a Cepheid variable in Andromeda and altered cosmology. Yet the law that made that revelation possible had been written in 1912 by Henrietta Swan Leavitt at the Harvard College Observatory. Her period-luminosity relation turned stellar rhythm into measurable distance-and distance into cosmic scale.The Distance Measurer reframes one of the most celebrated episodes in modern science. It restores methodological clarity to a story often simplified into heroic mythology. Before expansion, there was calibration. Before galaxies, there were glass plates. Before cosmology, there was measurement.Inside this book, you will encounter: The intellectual strategy behind the 1912 period-luminosity relationThe calibration disputes that shaped the 1920 Great DebateThe hidden labor structure of Harvard's women "computers"The fragile zero point beneath Hubble's famous 1929 lawThe overlooked role of Slipher and Lemaitre in the expansion narrativeThe theological and cultural tensions surrounding cosmic vastnessThis is not a sentimental retelling. It is a reconstruction of how scientific authority is built-who receives credit, who provides structure, and how scale itself becomes credible.If the universe expanded in 1923, it did so along a scaffold erected in 1912.Read this book to understand not just how the cosmos grew-but how knowledge itself acquires magnitude. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Zustand: new. Paperback. What if the platform you're racing to build is the very mechanism that will slow your startup down when speed matters most?Platform engineering has become a cargo cult. Startups implement internal developer platforms, golden paths, and "enterprise-grade" tooling before they've outgrown their sneakers-only to find themselves bogged down by the coordination costs they sought to eliminate. This book argues that platforms are not growth accelerators but stabilizers: governance mechanisms that trade flexibility for predictability, best deployed only when uncertainty ceases to be productive.Drawing on how platforms historically emerge-not as strategic investments but as defensive reactions to coordination collapse-this text dismantles the mythology that treats DevOps, IDPs, and developer experience as universally applicable virtues. It examines why early abstraction often suppresses learning more than it enables scale, why mandates create compliance without legitimacy, and why the most dangerous platforms are those that function perfectly too early in an organization's life. Written for technical leaders who feel the first friction of growth, this book treats platform engineering as institutional decision-making: a way to settle debates, allocate authority, and encode memory. It argues for radical restraint in what is centralized, standardized, enforced, and measured-not because platforms lack power, but because power applied without clarity rarely produces intended outcomes.- Why the platforms that succeed long-term are built with deliberate restraint rather than ambitious "future-proofing"- How importing enterprise solutions without importing the conditions that necessitated them creates category errors, not technical debt- The counterintuitive case for preserving local autonomy until repeated choices become costly enough to justify standardization- Why metrics mislead when they replace judgment, and how to recognize when your team is ready to stop having certain technical argumentsIf your infrastructure feels like it is preparing you for a company you might become rather than serving who you actually are, this book provides the critical framework for deciding which coordination problems deserve permanent solutions-and which should remain unresolved a little longer. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. 267 S. Sehr guter Zustand. Die Leseseiten sind sauber und ohne Markierungen. Mit SU. Leichte Lager- und Gebrauchsspuren. Ansonsten sehr gutes Exemplar. 9783800161584 Sprache: Deutsch Gewicht in Gramm: 1800.

Paperback. Zustand: new. Paperback. Does your chart update automatically, or does it actually think?Most visualization libraries promise magic: bind the data, watch it flow, and insight appears. But reactivity without accountability produces charts that move beautifully while meaning nothing. This book rejects the trivial. It treats reactive visualization not as technical convenience, but as intellectual discipline-systems that justify their own existence under pressure from data, interaction, and time.You will not find recipes for decorative graphics here. Instead, you will learn to architect charts that remain stable as complexity grows, to force animation to serve argument rather than distraction, and to wield Svelte's declarative reactivity against D3's imperative precision until both yield something more rigorous than either could alone.Inside, you will learn how to: Build visualization systems that expose their own assumptions through reactive state management, ensuring charts never silently rewrite their meaning as data shiftsEngineer interactions that stabilize interpretive semantics-where hover states and transitions deepen understanding rather than substitute for itImplement performance optimizations that reveal their trade-offs openly, refusing the false choice between speed and clarityStructure data flows where geometry, scale choices, and accessibility constraints respond coherently to real-time updates without architectural decayYour dashboards deserve intellectual integrity. Stop automating charts. Start designing systems that reason. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Zustand: new. Paperback. What if your AI system never fails-yet is already compromised?Most AI security failures don't arrive as breaches, alerts, or outages. They arrive quietly. Models keep producing outputs. Pipelines keep running. Metrics remain within tolerance-while trust, integrity, and control erode beneath the surface.AI Supply Chain Security confronts this uncomfortable reality head-on. Rather than treating the trained model as the locus of risk, this book reframes security as a property of the entire machine-learning supply chain: data sourcing, preprocessing, training logic, dependency graphs, infrastructure, deployment, and feedback loops. It argues that the most dangerous vulnerabilities emerge not from spectacular attacks, but from structural conditions that reward silence, scale, and statistical continuity.Grounded in adversarial ML research, systems security, and socio-technical analysis, this book challenges the persistent myth of the "secure model" and replaces it with a pipeline-centric understanding of risk-one better suited to modern, adaptive AI systems.Inside, you'll encounter: Why poisoned data and backdoored representations rarely trigger alarmsHow distributional drift degrades trust unevenly across populationsThe limits of traditional MLOps controls in adversarial environmentsWhy reproducibility can coexist with systemic fragilityHow incentives, governance gaps, and platform economics shape security outcomesA framework for analyzing AI risk as cumulative rather than event-drivenThis is not a checklist or a vendor playbook. It is a conceptual and operational recalibration for practitioners, researchers, security teams, and technical leaders who suspect that current AI security conversations are asking the wrong questions.If you build, deploy, regulate, or depend on machine-learning systems, this book gives you the language-and the lens-to see what usually goes unnoticed. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Zustand: new. Paperback. Post-quantum cryptography is not a future upgrade. It is a structural migration of trust happening now, beneath the surface of enterprise systems that continue to operate on borrowed certainty.This book confronts a dissonance most organizations ignore: the mathematical threat is settled, yet institutional response remains provisional. While RSA and elliptic-curve cryptography still protect your transactions, quantum algorithms have already invalidated their foundational assumptions. The question is no longer if migration is necessary, but how to execute it when cryptographic transitions are irreversible, organizationally complex, and legally fraught.Drawing from real systems, legacy constraints, and governance failures, this text examines post-quantum preparation as institutional self-knowledge rather than mere technical substitution. It analyzes why standards bodies hesitate, why vendors oversell, and why rational action feels impossible when delay carries asymmetric, cumulative costs.You will encounter hybrid compromises, partial migrations, and the uncomfortable reality that cryptographic breakage never announces itself politely. Above all, you will learn to make defensible decisions under scrutiny-technical, legal, and historical-without the comfort of complete certainty.Key Insights- Why your current cryptographic inventory is likely invisible to executive leadership-and how to render it visible- The structural constraints that cause institutions to defer rational preparation until remediation becomes impossible- How quantum threats invalidate not just specific algorithms, but the entire threat model underlying modern public-key infrastructure- Why "crypto-agility" often masks organizational paralysis rather than enabling genuine responsiveness- The legal and supply-chain entanglements that make cryptographic migration a decades-long institutional memory problem- How to evaluate post-quantum candidates when historical precedent suggests today's confidence may precede tomorrow's cryptanalysis- What "preparation" actually means when the adversary capability is already present but the breach is not The data you protect today will outlive your current cryptographic standards. Read this book before your organization's cryptographic debt becomes a liability you cannot remediate. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Zustand: new. Paperback. What if the expansion of the universe began not at a telescope-but at a desk where a woman was paid to measure light she was forbidden to observe?In 1923, Edwin Hubble identified a Cepheid variable in Andromeda and altered cosmology. Yet the law that made that revelation possible had been written in 1912 by Henrietta Swan Leavitt at the Harvard College Observatory. Her period-luminosity relation turned stellar rhythm into measurable distance-and distance into cosmic scale.The Distance Measurer reframes one of the most celebrated episodes in modern science. It restores methodological clarity to a story often simplified into heroic mythology. Before expansion, there was calibration. Before galaxies, there were glass plates. Before cosmology, there was measurement.Inside this book, you will encounter: The intellectual strategy behind the 1912 period-luminosity relationThe calibration disputes that shaped the 1920 Great DebateThe hidden labor structure of Harvard's women "computers"The fragile zero point beneath Hubble's famous 1929 lawThe overlooked role of Slipher and Lemaitre in the expansion narrativeThe theological and cultural tensions surrounding cosmic vastnessThis is not a sentimental retelling. It is a reconstruction of how scientific authority is built-who receives credit, who provides structure, and how scale itself becomes credible.If the universe expanded in 1923, it did so along a scaffold erected in 1912.Read this book to understand not just how the cosmos grew-but how knowledge itself acquires magnitude. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Zustand: new. Paperback. What if the expansion of the universe began not at a telescope-but at a desk where a woman was paid to measure light she was forbidden to observe?In 1923, Edwin Hubble identified a Cepheid variable in Andromeda and altered cosmology. Yet the law that made that revelation possible had been written in 1912 by Henrietta Swan Leavitt at the Harvard College Observatory. Her period-luminosity relation turned stellar rhythm into measurable distance-and distance into cosmic scale.The Distance Measurer reframes one of the most celebrated episodes in modern science. It restores methodological clarity to a story often simplified into heroic mythology. Before expansion, there was calibration. Before galaxies, there were glass plates. Before cosmology, there was measurement.Inside this book, you will encounter: The intellectual strategy behind the 1912 period-luminosity relationThe calibration disputes that shaped the 1920 Great DebateThe hidden labor structure of Harvard's women "computers"The fragile zero point beneath Hubble's famous 1929 lawThe overlooked role of Slipher and Lemaitre in the expansion narrativeThe theological and cultural tensions surrounding cosmic vastnessThis is not a sentimental retelling. It is a reconstruction of how scientific authority is built-who receives credit, who provides structure, and how scale itself becomes credible.If the universe expanded in 1923, it did so along a scaffold erected in 1912.Read this book to understand not just how the cosmos grew-but how knowledge itself acquires magnitude. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. What if the platform you're racing to build is the very mechanism that will slow your startup down when speed matters most?Platform engineering has become a cargo cult. Startups implement internal developer platforms, golden paths, and "enterprise-grade" tooling before they've outgrown their sneakers-only to find themselves bogged down by the coordination costs they sought to eliminate. This book argues that platforms are not growth accelerators but stabilizers: governance mechanisms that trade flexibility for predictability, best deployed only when uncertainty ceases to be productive.Drawing on how platforms historically emerge-not as strategic investments but as defensive reactions to coordination collapse-this text dismantles the mythology that treats DevOps, IDPs, and developer experience as universally applicable virtues. It examines why early abstraction often suppresses learning more than it enables scale, why mandates create compliance without legitimacy, and why the most dangerous platforms are those that function perfectly too early in an organization's life. Written for technical leaders who feel the first friction of growth, this book treats platform engineering as institutional decision-making: a way to settle debates, allocate authority, and encode memory. It argues for radical restraint in what is centralized, standardized, enforced, and measured-not because platforms lack power, but because power applied without clarity rarely produces intended outcomes.- Why the platforms that succeed long-term are built with deliberate restraint rather than ambitious "future-proofing"- How importing enterprise solutions without importing the conditions that necessitated them creates category errors, not technical debt- The counterintuitive case for preserving local autonomy until repeated choices become costly enough to justify standardization- Why metrics mislead when they replace judgment, and how to recognize when your team is ready to stop having certain technical argumentsIf your infrastructure feels like it is preparing you for a company you might become rather than serving who you actually are, this book provides the critical framework for deciding which coordination problems deserve permanent solutions-and which should remain unresolved a little longer. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. What if the platform you're racing to build is the very mechanism that will slow your startup down when speed matters most?Platform engineering has become a cargo cult. Startups implement internal developer platforms, golden paths, and "enterprise-grade" tooling before they've outgrown their sneakers-only to find themselves bogged down by the coordination costs they sought to eliminate. This book argues that platforms are not growth accelerators but stabilizers: governance mechanisms that trade flexibility for predictability, best deployed only when uncertainty ceases to be productive.Drawing on how platforms historically emerge-not as strategic investments but as defensive reactions to coordination collapse-this text dismantles the mythology that treats DevOps, IDPs, and developer experience as universally applicable virtues. It examines why early abstraction often suppresses learning more than it enables scale, why mandates create compliance without legitimacy, and why the most dangerous platforms are those that function perfectly too early in an organization's life. Written for technical leaders who feel the first friction of growth, this book treats platform engineering as institutional decision-making: a way to settle debates, allocate authority, and encode memory. It argues for radical restraint in what is centralized, standardized, enforced, and measured-not because platforms lack power, but because power applied without clarity rarely produces intended outcomes.- Why the platforms that succeed long-term are built with deliberate restraint rather than ambitious "future-proofing"- How importing enterprise solutions without importing the conditions that necessitated them creates category errors, not technical debt- The counterintuitive case for preserving local autonomy until repeated choices become costly enough to justify standardization- Why metrics mislead when they replace judgment, and how to recognize when your team is ready to stop having certain technical argumentsIf your infrastructure feels like it is preparing you for a company you might become rather than serving who you actually are, this book provides the critical framework for deciding which coordination problems deserve permanent solutions-and which should remain unresolved a little longer. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Zustand: new. Paperback. What if your AI system never fails-yet is already compromised?Most AI security failures don't arrive as breaches, alerts, or outages. They arrive quietly. Models keep producing outputs. Pipelines keep running. Metrics remain within tolerance-while trust, integrity, and control erode beneath the surface.AI Supply Chain Security confronts this uncomfortable reality head-on. Rather than treating the trained model as the locus of risk, this book reframes security as a property of the entire machine-learning supply chain: data sourcing, preprocessing, training logic, dependency graphs, infrastructure, deployment, and feedback loops. It argues that the most dangerous vulnerabilities emerge not from spectacular attacks, but from structural conditions that reward silence, scale, and statistical continuity.Grounded in adversarial ML research, systems security, and socio-technical analysis, this book challenges the persistent myth of the "secure model" and replaces it with a pipeline-centric understanding of risk-one better suited to modern, adaptive AI systems.Inside, you'll encounter: Why poisoned data and backdoored representations rarely trigger alarmsHow distributional drift degrades trust unevenly across populationsThe limits of traditional MLOps controls in adversarial environmentsWhy reproducibility can coexist with systemic fragilityHow incentives, governance gaps, and platform economics shape security outcomesA framework for analyzing AI risk as cumulative rather than event-drivenThis is not a checklist or a vendor playbook. It is a conceptual and operational recalibration for practitioners, researchers, security teams, and technical leaders who suspect that current AI security conversations are asking the wrong questions.If you build, deploy, regulate, or depend on machine-learning systems, this book gives you the language-and the lens-to see what usually goes unnoticed. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. Post-quantum cryptography is not a future upgrade. It is a structural migration of trust happening now, beneath the surface of enterprise systems that continue to operate on borrowed certainty.This book confronts a dissonance most organizations ignore: the mathematical threat is settled, yet institutional response remains provisional. While RSA and elliptic-curve cryptography still protect your transactions, quantum algorithms have already invalidated their foundational assumptions. The question is no longer if migration is necessary, but how to execute it when cryptographic transitions are irreversible, organizationally complex, and legally fraught.Drawing from real systems, legacy constraints, and governance failures, this text examines post-quantum preparation as institutional self-knowledge rather than mere technical substitution. It analyzes why standards bodies hesitate, why vendors oversell, and why rational action feels impossible when delay carries asymmetric, cumulative costs.You will encounter hybrid compromises, partial migrations, and the uncomfortable reality that cryptographic breakage never announces itself politely. Above all, you will learn to make defensible decisions under scrutiny-technical, legal, and historical-without the comfort of complete certainty.Key Insights- Why your current cryptographic inventory is likely invisible to executive leadership-and how to render it visible- The structural constraints that cause institutions to defer rational preparation until remediation becomes impossible- How quantum threats invalidate not just specific algorithms, but the entire threat model underlying modern public-key infrastructure- Why "crypto-agility" often masks organizational paralysis rather than enabling genuine responsiveness- The legal and supply-chain entanglements that make cryptographic migration a decades-long institutional memory problem- How to evaluate post-quantum candidates when historical precedent suggests today's confidence may precede tomorrow's cryptanalysis- What "preparation" actually means when the adversary capability is already present but the breach is not The data you protect today will outlive your current cryptographic standards. Read this book before your organization's cryptographic debt becomes a liability you cannot remediate. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. Does your chart update automatically, or does it actually think?Most visualization libraries promise magic: bind the data, watch it flow, and insight appears. But reactivity without accountability produces charts that move beautifully while meaning nothing. This book rejects the trivial. It treats reactive visualization not as technical convenience, but as intellectual discipline-systems that justify their own existence under pressure from data, interaction, and time.You will not find recipes for decorative graphics here. Instead, you will learn to architect charts that remain stable as complexity grows, to force animation to serve argument rather than distraction, and to wield Svelte's declarative reactivity against D3's imperative precision until both yield something more rigorous than either could alone.Inside, you will learn how to: Build visualization systems that expose their own assumptions through reactive state management, ensuring charts never silently rewrite their meaning as data shiftsEngineer interactions that stabilize interpretive semantics-where hover states and transitions deepen understanding rather than substitute for itImplement performance optimizations that reveal their trade-offs openly, refusing the false choice between speed and clarityStructure data flows where geometry, scale choices, and accessibility constraints respond coherently to real-time updates without architectural decayYour dashboards deserve intellectual integrity. Stop automating charts. Start designing systems that reason. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. What if your AI system never fails-yet is already compromised?Most AI security failures don't arrive as breaches, alerts, or outages. They arrive quietly. Models keep producing outputs. Pipelines keep running. Metrics remain within tolerance-while trust, integrity, and control erode beneath the surface.AI Supply Chain Security confronts this uncomfortable reality head-on. Rather than treating the trained model as the locus of risk, this book reframes security as a property of the entire machine-learning supply chain: data sourcing, preprocessing, training logic, dependency graphs, infrastructure, deployment, and feedback loops. It argues that the most dangerous vulnerabilities emerge not from spectacular attacks, but from structural conditions that reward silence, scale, and statistical continuity.Grounded in adversarial ML research, systems security, and socio-technical analysis, this book challenges the persistent myth of the "secure model" and replaces it with a pipeline-centric understanding of risk-one better suited to modern, adaptive AI systems.Inside, you'll encounter: Why poisoned data and backdoored representations rarely trigger alarmsHow distributional drift degrades trust unevenly across populationsThe limits of traditional MLOps controls in adversarial environmentsWhy reproducibility can coexist with systemic fragilityHow incentives, governance gaps, and platform economics shape security outcomesA framework for analyzing AI risk as cumulative rather than event-drivenThis is not a checklist or a vendor playbook. It is a conceptual and operational recalibration for practitioners, researchers, security teams, and technical leaders who suspect that current AI security conversations are asking the wrong questions.If you build, deploy, regulate, or depend on machine-learning systems, this book gives you the language-and the lens-to see what usually goes unnoticed. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Zustand: new. Paperback. Post-quantum cryptography is not a future upgrade. It is a structural migration of trust happening now, beneath the surface of enterprise systems that continue to operate on borrowed certainty.This book confronts a dissonance most organizations ignore: the mathematical threat is settled, yet institutional response remains provisional. While RSA and elliptic-curve cryptography still protect your transactions, quantum algorithms have already invalidated their foundational assumptions. The question is no longer if migration is necessary, but how to execute it when cryptographic transitions are irreversible, organizationally complex, and legally fraught.Drawing from real systems, legacy constraints, and governance failures, this text examines post-quantum preparation as institutional self-knowledge rather than mere technical substitution. It analyzes why standards bodies hesitate, why vendors oversell, and why rational action feels impossible when delay carries asymmetric, cumulative costs.You will encounter hybrid compromises, partial migrations, and the uncomfortable reality that cryptographic breakage never announces itself politely. Above all, you will learn to make defensible decisions under scrutiny-technical, legal, and historical-without the comfort of complete certainty.Key Insights- Why your current cryptographic inventory is likely invisible to executive leadership-and how to render it visible- The structural constraints that cause institutions to defer rational preparation until remediation becomes impossible- How quantum threats invalidate not just specific algorithms, but the entire threat model underlying modern public-key infrastructure- Why "crypto-agility" often masks organizational paralysis rather than enabling genuine responsiveness- The legal and supply-chain entanglements that make cryptographic migration a decades-long institutional memory problem- How to evaluate post-quantum candidates when historical precedent suggests today's confidence may precede tomorrow's cryptanalysis- What "preparation" actually means when the adversary capability is already present but the breach is not The data you protect today will outlive your current cryptographic standards. Read this book before your organization's cryptographic debt becomes a liability you cannot remediate. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Zustand: new. Paperback. Does your chart update automatically, or does it actually think?Most visualization libraries promise magic: bind the data, watch it flow, and insight appears. But reactivity without accountability produces charts that move beautifully while meaning nothing. This book rejects the trivial. It treats reactive visualization not as technical convenience, but as intellectual discipline-systems that justify their own existence under pressure from data, interaction, and time.You will not find recipes for decorative graphics here. Instead, you will learn to architect charts that remain stable as complexity grows, to force animation to serve argument rather than distraction, and to wield Svelte's declarative reactivity against D3's imperative precision until both yield something more rigorous than either could alone.Inside, you will learn how to: Build visualization systems that expose their own assumptions through reactive state management, ensuring charts never silently rewrite their meaning as data shiftsEngineer interactions that stabilize interpretive semantics-where hover states and transitions deepen understanding rather than substitute for itImplement performance optimizations that reveal their trade-offs openly, refusing the false choice between speed and clarityStructure data flows where geometry, scale choices, and accessibility constraints respond coherently to real-time updates without architectural decayYour dashboards deserve intellectual integrity. Stop automating charts. Start designing systems that reason. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

Taschenbuch. Zustand: Neu. The Distance Measurer | Henrietta Swan Leavitt and the Scale of the Cosmos How One Woman's Discovery Enabled Hubble to Prove the Universe Was Expanding | Adrian Volk | Taschenbuch | Englisch | 2026 | Adrian Volk | EAN 9798233413322 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - What if the platform you're racing to build is the very mechanism that will slow your startup down when speed matters most Platform engineering has become a cargo cult. Startups implement internal developer platforms, golden paths, and 'enterprise-grade' tooling before they've outgrown their sneakers-only to find themselves bogged down by the coordination costs they sought to eliminate. This book argues that platforms are not growth accelerators but stabilizers: governance mechanisms that trade flexibility for predictability, best deployed only when uncertainty ceases to be productive.Drawing on how platforms historically emerge-not as strategic investments but as defensive reactions to coordination collapse-this text dismantles the mythology that treats DevOps, IDPs, and developer experience as universally applicable virtues. It examines why early abstraction often suppresses learning more than it enables scale, why mandates create compliance without legitimacy, and why the most dangerous platforms are those that function perfectly too early in an organization's life. Written for technical leaders who feel the first friction of growth, this book treats platform engineering as institutional decision-making: a way to settle debates, allocate authority, and encode memory. It argues for radical restraint in what is centralized, standardized, enforced, and measured-not because platforms lack power, but because power applied without clarity rarely produces intended outcomes.¿ Why the platforms that succeed long-term are built with deliberate restraint rather than ambitious 'future-proofing'¿ How importing enterprise solutions without importing the conditions that necessitated them creates category errors, not technical debt¿ The counterintuitive case for preserving local autonomy until repeated choices become costly enough to justify standardization¿ Why metrics mislead when they replace judgment, and how to recognize when your team is ready to stop having certain technical argumentsIf your infrastructure feels like it is preparing you for a company you might become rather than serving who you actually are, this book provides the critical framework for deciding which coordination problems deserve permanent solutions-and which should remain unresolved a little longer.