Short clips from Leanpub's videos.
These are short clips from our Leanpub videos — our Launch videos, Podcast videos, and more from our YouTube channel.
Discrete Mathematics by Alexander S. Kulikov
This textbook accompanies a year-long Discrete Mathematics course for Computer Science and AI students, covering classical topics such as combinatorics, graph theory, probability, logic, and set theory. It emphasizes applications across computer science and complements the standard curriculum with advanced topics in each chapter.
Discrete Mathematics by Alexander S. Kulikov
This textbook accompanies a year-long Discrete Mathematics course for Computer Science and AI students, covering classical topics such as combinatorics, graph theory, probability, logic, and set theory. It emphasizes applications across computer science and complements the standard curriculum with advanced topics in each chapter.
Discrete Mathematics by Alexander S. Kulikov
This textbook accompanies a year-long Discrete Mathematics course for Computer Science and AI students, covering classical topics such as combinatorics, graph theory, probability, logic, and set theory. It emphasizes applications across computer science and complements the standard curriculum with advanced topics in each chapter.
Discrete Mathematics by Alexander S. Kulikov
This textbook accompanies a year-long Discrete Mathematics course for Computer Science and AI students, covering classical topics such as combinatorics, graph theory, probability, logic, and set theory. It emphasizes applications across computer science and complements the standard curriculum with advanced topics in each chapter.
Discrete Mathematics by Alexander S. Kulikov
This textbook accompanies a year-long Discrete Mathematics course for Computer Science and AI students, covering classical topics such as combinatorics, graph theory, probability, logic, and set theory. It emphasizes applications across computer science and complements the standard curriculum with advanced topics in each chapter.
FAT12 by Björn Götz
Stop guessing what the bytes on disk mean and build the filesystem yourself. Over twelve chapters you implement FAT12 from scratch in C, from the first sector read to formatting a fresh volume, and check every step against a hexdump. Then you boot the exact same code inside your own kernel and watch it write and read files on bare metal.
FAT12 by Björn Götz
Stop guessing what the bytes on disk mean and build the filesystem yourself. Over twelve chapters you implement FAT12 from scratch in C, from the first sector read to formatting a fresh volume, and check every step against a hexdump. Then you boot the exact same code inside your own kernel and watch it write and read files on bare metal.
FAT12 by Björn Götz
Stop guessing what the bytes on disk mean and build the filesystem yourself. Over twelve chapters you implement FAT12 from scratch in C, from the first sector read to formatting a fresh volume, and check every step against a hexdump. Then you boot the exact same code inside your own kernel and watch it write and read files on bare metal.
FAT12 by Björn Götz
Stop guessing what the bytes on disk mean and build the filesystem yourself. Over twelve chapters you implement FAT12 from scratch in C, from the first sector read to formatting a fresh volume, and check every step against a hexdump. Then you boot the exact same code inside your own kernel and watch it write and read files on bare metal.
FAT12 by Björn Götz
Stop guessing what the bytes on disk mean and build the filesystem yourself. Over twelve chapters you implement FAT12 from scratch in C, from the first sector read to formatting a fresh volume, and check every step against a hexdump. Then you boot the exact same code inside your own kernel and watch it write and read files on bare metal.
Dear Software & AI Architect by Shweta Vohra
AI is changing not only what architects build, but what it means to be an architect.Dear Software and AI Architect is a practical guide for software architects and emerging AI architects who want to navigate ambiguity, make better trade offs, design intelligent systems people can trust, and connect architecture decisions to real business impact.Inside, you’ll find 50+ practical caselets, expert perspectives, field tested lessons, and the Architect’s V Impact Canvas to help you build with context and lead with clarity as software and AI engineering converge.The book draws on my more than two decades of experience working with complex software, cloud, platform, and AI systems, translating lessons from the field into ideas you can apply in your own architecture journey.And decorating this journey is a foreword by my mentor, Grady Booch, UML co creator and one of the most influential voices in software architecture.This is not a book about chasing AI hype. It is about becoming the architect this new era demands.
Dear Software & AI Architect by Shweta Vohra
AI is changing not only what architects build, but what it means to be an architect.Dear Software and AI Architect is a practical guide for software architects and emerging AI architects who want to navigate ambiguity, make better trade offs, design intelligent systems people can trust, and connect architecture decisions to real business impact.Inside, you’ll find 50+ practical caselets, expert perspectives, field tested lessons, and the Architect’s V Impact Canvas to help you build with context and lead with clarity as software and AI engineering converge.The book draws on my more than two decades of experience working with complex software, cloud, platform, and AI systems, translating lessons from the field into ideas you can apply in your own architecture journey.And decorating this journey is a foreword by my mentor, Grady Booch, UML co creator and one of the most influential voices in software architecture.This is not a book about chasing AI hype. It is about becoming the architect this new era demands.
Dear Software & AI Architect by Shweta Vohra
AI is changing not only what architects build, but what it means to be an architect.Dear Software and AI Architect is a practical guide for software architects and emerging AI architects who want to navigate ambiguity, make better trade offs, design intelligent systems people can trust, and connect architecture decisions to real business impact.Inside, you’ll find 50+ practical caselets, expert perspectives, field tested lessons, and the Architect’s V Impact Canvas to help you build with context and lead with clarity as software and AI engineering converge.The book draws on my more than two decades of experience working with complex software, cloud, platform, and AI systems, translating lessons from the field into ideas you can apply in your own architecture journey.And decorating this journey is a foreword by my mentor, Grady Booch, UML co creator and one of the most influential voices in software architecture.This is not a book about chasing AI hype. It is about becoming the architect this new era demands.
Dear Software & AI Architect by Shweta Vohra
AI is changing not only what architects build, but what it means to be an architect.Dear Software and AI Architect is a practical guide for software architects and emerging AI architects who want to navigate ambiguity, make better trade offs, design intelligent systems people can trust, and connect architecture decisions to real business impact.Inside, you’ll find 50+ practical caselets, expert perspectives, field tested lessons, and the Architect’s V Impact Canvas to help you build with context and lead with clarity as software and AI engineering converge.The book draws on my more than two decades of experience working with complex software, cloud, platform, and AI systems, translating lessons from the field into ideas you can apply in your own architecture journey.And decorating this journey is a foreword by my mentor, Grady Booch, UML co creator and one of the most influential voices in software architecture.This is not a book about chasing AI hype. It is about becoming the architect this new era demands.
Dear Software & AI Architect by Shweta Vohra
AI is changing not only what architects build, but what it means to be an architect.Dear Software and AI Architect is a practical guide for software architects and emerging AI architects who want to navigate ambiguity, make better trade offs, design intelligent systems people can trust, and connect architecture decisions to real business impact.Inside, you’ll find 50+ practical caselets, expert perspectives, field tested lessons, and the Architect’s V Impact Canvas to help you build with context and lead with clarity as software and AI engineering converge.The book draws on my more than two decades of experience working with complex software, cloud, platform, and AI systems, translating lessons from the field into ideas you can apply in your own architecture journey.And decorating this journey is a foreword by my mentor, Grady Booch, UML co creator and one of the most influential voices in software architecture.This is not a book about chasing AI hype. It is about becoming the architect this new era demands.
Your agent writes the migration faster than you would, so most of the code you answer for this year is code you read. What piles up is comprehension debt: code you are accountable for and cannot explain. Twenty-five chapters, one exercise each, teach what transfers to the next model, the next codebase and the next job: what you are the last check on.
Your agent writes the migration faster than you would, so most of the code you answer for this year is code you read. What piles up is comprehension debt: code you are accountable for and cannot explain. Twenty-five chapters, one exercise each, teach what transfers to the next model, the next codebase and the next job: what you are the last check on.
Your agent writes the migration faster than you would, so most of the code you answer for this year is code you read. What piles up is comprehension debt: code you are accountable for and cannot explain. Twenty-five chapters, one exercise each, teach what transfers to the next model, the next codebase and the next job: what you are the last check on.
Your agent writes the migration faster than you would, so most of the code you answer for this year is code you read. What piles up is comprehension debt: code you are accountable for and cannot explain. Twenty-five chapters, one exercise each, teach what transfers to the next model, the next codebase and the next job: what you are the last check on.
Your agent writes the migration faster than you would, so most of the code you answer for this year is code you read. What piles up is comprehension debt: code you are accountable for and cannot explain. Twenty-five chapters, one exercise each, teach what transfers to the next model, the next codebase and the next job: what you are the last check on.
Writing Use Cases for AI by Simon Martinelli
Your use cases have a new reader: an AI agent that turns them directly into code and tests. Implementation is now cheap but expressing intent precisely is the bottleneck. This guide teaches you to write use cases that work for stakeholders, engineers, and the AI agents that implement from them.
Writing Use Cases for AI by Simon Martinelli
Your use cases have a new reader: an AI agent that turns them directly into code and tests. Implementation is now cheap but expressing intent precisely is the bottleneck. This guide teaches you to write use cases that work for stakeholders, engineers, and the AI agents that implement from them.
Writing Use Cases for AI by Simon Martinelli
Your use cases have a new reader: an AI agent that turns them directly into code and tests. Implementation is now cheap but expressing intent precisely is the bottleneck. This guide teaches you to write use cases that work for stakeholders, engineers, and the AI agents that implement from them.
Writing Use Cases for AI by Simon Martinelli
Your use cases have a new reader: an AI agent that turns them directly into code and tests. Implementation is now cheap but expressing intent precisely is the bottleneck. This guide teaches you to write use cases that work for stakeholders, engineers, and the AI agents that implement from them.
Writing Use Cases for AI by Simon Martinelli
Your use cases have a new reader: an AI agent that turns them directly into code and tests. Implementation is now cheap but expressing intent precisely is the bottleneck. This guide teaches you to write use cases that work for stakeholders, engineers, and the AI agents that implement from them.
