Books

Configure Artemis shared memory, documents and local work continuity for an OpenAI Agents SDK agent on Windows.

We'll start with nodes, relationships and Cypher, as it'll make everything else easier later on. Then, we design a schema, chunk documents, extract entities and add embeddings. Then, we'll mix vectors with structure, run graph algorithms, think about rules and ontologies, and connect AI agents through safe, traceable tools. We'll also keep the graph fresh, measured and recoverable, because if it's stale, users won't trust it.

Install the Artemis HDSM/HDSD gateway on Windows and connect ChatGPT to external memory records and documents.

Stacks, Queues, Hash Tables & Heaps - Python Edition teaches 50 algorithms built on stacks, queues, hash tables, and heaps through plain-language explanations, Python implementations, and step-by-step visual... Printed in full color.

Graphs & Greedy - Python Edition teaches 49 graph and greedy algorithms through plain-language explanations, Python implementations, and step-by-step visual walkthroughs that trace every visited node, relaxed edge,... Printed in full color.

Linked Lists - Python Edition teaches 56 linked-list algorithms through plain-language explanations, Python implementations, and step-by-step visual walkthroughs that trace the structure through every pointer update, all in full color.

Recursion, Backtracking & Dynamic Programming - Python Edition teaches 50 recursion, backtracking, and dynamic programming algorithms through plain-language explanations, Python implementations, and step-by-step... Printed in full color.

Strings - Beginner → Intermediate → Advanced - Python Edition brings both volumes together: 102 string algorithms taught through plain-language explanations, Python implementations, and step-by-step visual walkthroughs that trace... Printed in full color.

Trees - Beginner → Intermediate → Advanced - Python Edition brings both volumes together: 103 tree algorithms taught through plain-language explanations, Python implementations, and step-by-step visual walkthroughs, all in full color.

Arrays - Beginner → Intermediate → Advanced - Python Edition brings all three volumes together: 166 array algorithms taught through plain-language explanations, Python implementations, and step-by-step visual walkthroughs, all in full color.

Learn to think in facts, rules and queries, using pyDatalog inside ordinary Python. A gentle, illustrated first course in logic programming, with every example run and recorded.

Learn Python Data Structures & Algorithms Visually - Volume 4 brings together 107 algorithms covering trees, linked lists, strings, and arrays, each part opened by short foundation sections on the core tree... Printed in full color.

Learn Python Data Structures & Algorithms Visually - Volume 2 brings together 108 algorithms covering trees, linked lists, strings, and arrays, each part opened by short foundation sections on the core tree... Printed in full color.

Learn Python Data Structures & Algorithms Visually - Volume 3 brings together 107 algorithms covering trees, linked lists, strings, and arrays, each part opened by short foundation sections on the core tree... Printed in full color.