SKU: 20514829344

June, Jason - Flopping in a Winter Wonderland

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June, Jason - Flopping in a Winter WonderlandTitle: Flopping in a Winter Wonderland Author: Jason June Genre: Young Adult, Romance, LGBTQ+ Pages: 368 Publisher: HarperCollins Release Date: November 12, 2024 Synopsis: A heartwarming and hilarious holiday romance about two gay teens who fall in love during a family trip to Winter Wonderland. All Aaron wants for Christmas is for his brother Casey to get over his ex, Raquel. Hed prefer not to be at Winter Wonderland, the island north of Alaska thats

Title: Flopping in a Winter Wonderland Author: Jason June Genre: Young Adult, Romance, LGBTQ+ Pages: 368 Publisher: HarperCollins Release Date: November 12, 2024

Synopsis:

A heartwarming and hilarious holiday romance about two gay teens who fall in love during a family trip to Winter Wonderland.

All Aaron wants for Christmas is for his brother Casey to get over his ex, Raquel. He’d prefer not to be at Winter Wonderland, the island north of Alaska that’s home to a year-round Christmas theme park. But Casey loves Christmas, and so, here they are.

All Kris wants for Christmas is for his uncle to move back to Winter Wonderland to be the first gay Santa. And so, he needs to win the Race, his grade’s annual competition to see who can get a guest to fall in love with them first. Winning means a trip to New York, where Kris would be able to plead his case for his uncle to the founder of Winter Wonderland himself.

Then Aaron and Kris flop into each other during a flash mob and Kris agrees to help Aaron with his plan to keep Casey single. Soon, both can’t stop thinking about kissing the other, and it’s not just because of the mistletoe around every corner. Too bad true love isn’t on either of their Christmas lists…

This adorable rom-com from bestselling author Jason June unwraps the healing power of love and the magic of the Christmas season.

LGBT Themes:

  • Gay romance
  • Queer representation in young adult fiction

Relevant Tags: LGBTQIA+, LGBT romance, gay romance, queer fiction, young adult, holiday romance, achillean

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SKU: 20514829344

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David Escobar
Belleville, US
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
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Reviewed in the United States on November 16, 2019
F
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Filipe Fernandes
Houston, US
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript. Great book.
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Reviewed in the United States on June 10, 2025
E
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Eddwin Paz
Boise, US
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
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Reviewed in the United States on April 19, 2025
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B. Black
Fort Morgan, US
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
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Reviewed in the United States on August 5, 2025
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Joe Faith
Dallas, 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.
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Reviewed in the United States on July 17, 2025

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