SKU: 42862437669

The OG Referee Pant with Side Pockets

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Description

The OG Referee Pant with Side Pockets6905 "THE OG Referee" Inline Pant The Black Biscuit OR Referee Inline Hockey Pant is a new improved addition to Black Biscuit. This model is less roomy at the top and is tapered at the bottom which creates a slimmer fit. Features on this pant include: Vented pique stretch fabric on the top front and back of pants Stretch Lyrca in the crotch from front to back for the utmost in flexibility Mesh panels surrounding the bottom for maximum breathability

6905 "THE OG Referee" Inline Pant

The Black Biscuit OR Referee Inline Hockey Pant is a new improved addition to Black Biscuit. This model is less roomy at the top and is tapered at the bottom which creates a slimmer fit.

 Features on this pant include:
» Vented pique stretch fabric on the top front and back of pants
» Stretch Lyrca in the crotch from front to back for the utmost in flexibility
» Mesh panels surrounding the bottom for maximum breathability
» Double layered knee panels with a Cordura outer liner for extra durability.
» Features side pockets for all the essentials
» Elastic Waistband with Drawstring Closure
» Black Biscuit Sublimated Print on the Front
» Slimmer Waist and a more Tapered Bottom than our PLAYA pant but not they are not an entirely tapered/skin-tight pant 

These pants have a more tapered/fitted fit than our playa pants be sure to measure the  A and the C in the sizing chart which is the Length (A) and the Inseam (C)

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SKU: 42862437669

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B. Black
Lake Worth, US
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2025
J
Joe Faith
Natrona Heights, US
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
Format: Paperback
If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents. What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 17, 2025
T
Tom C Taulli
Natrona Heights, US
★★★★★ 5
Excellent Handbook
Format: Paperback
What got my interest in this book is the author. He's well-known as a leader in the LangChain world. And his book did not disappoint. It goes through the whole life cycle of development and there is a lot useful insights. If you are looking to build real-world genAI/agentic apps, then this book is certainly a great choice.
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Reviewed in the United States on April 11, 2025
L
Lydia O
Fort Morgan, US
★★★★★ 5
Useful resource!
Format: Paperback
I found this book well written and extremely useful for getting comfortable with LLMs for building AI apps in production and other agent driven applications.
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Reviewed in the United States on April 10, 2025
J
Jacob Lee
Whiting, US
★★★★★ 5
Fantastic!
Format: Paperback
A great primer on getting started with LangChain concepts!
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Reviewed in the United States on April 10, 2025

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