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Real-World Data Cleaning: The Essential First Step in Data Analysis
Deep Analysis with Pandas by Joram Mutenge
Learn pandas, the most widely used data analysis library.
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Pandas 3: The Upgrade Experienced Users Shouldn’t Miss
Deep Analysis with Pandas by Joram Mutenge
Learn pandas, the most widely used data analysis library.
Launch
Deep Analysis vs. Shallow Analysis: What Real Jobs Require
Deep Analysis with Pandas by Joram Mutenge
Learn pandas, the most widely used data analysis library.
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Data Analysis: Why Data Formatting Is the Real Challenge
Deep Analysis with Pandas by Joram Mutenge
Learn pandas, the most widely used data analysis library.
Launch
Pandas 3 Expressions: Chain Operations for Faster Data Workflows
Deep Analysis with Pandas by Joram Mutenge
Learn pandas, the most widely used data analysis library.
Launch
Why Mathematical Proofs Matter? Beyond Intuition
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.
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Why Algorithms Need Formal Proofs of Correctness
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.
Launch
The Joy of Math: How Proofs Changed Everything
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.
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Mathematical Proofs Made Enjoyable: Learn to Think Critically
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.
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How Naming Shapes Engagement and Textbook Success
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.
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How File Systems Really Work Beneath Your Devices
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.
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How Computers Work_ Why AI Is Sparking New Curiosity
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.
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How Computers Really Work_ The Magic Beneath the Surface
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.
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How Computers Really Work_ A Guide Anyone Can Enjoy
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.
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Build a FAT12 Filesystem From Scratch_ A Step-by-Step Guide
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.
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When AI Software Goes Offline_ The Risk of No Updates
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.
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Platform Engineering_ Why Software Architecture Is Always Moving
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.
Launch
AI Oversight_ Why Human-in-the-Loop Isn’t Enough
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.
Launch
AI Explainability vs. Efficiency_ The Industry’s Toughest Trade-Off
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.
Launch
AI Automation Is Moving Beyond the Human-in-the-Loop
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.
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Building Features with Claude AI_ How to Stop Scope Creep
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.
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AI Skills for Junior Engineers_ Build Your Career
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.
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AI Is Changing Junior Engineering—Here’s How to Stay Ahead
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.
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AI Coding Agents_ Stop Refactors From Becoming Scope Creep
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.
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AI Agent Planning_ Why Small Tasks Work Better
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.