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The Dangerous Summer: Golden Record - VINYL LPTitle: Golden Record Artist: The Dangerous Summer Label: Hopeless Records Product Type: VINYL LP UPC: 790692077311 Genre: Alternative Rock Release Date: 2013 08 13 Number of Discs: 1 Vinyl LP pressing. 2013 release, the third album from the Maryland Alt Rockers. The Dangerous Summer is composed of AJ Perdomo (vocals, bass), Cody Payne (guitar), Matt Kennedy (guitar, keys), Ben Cato (drums). Golden Record is about looking at where you've been at how it
Title: Golden RecordArtist: The Dangerous Summer
Label: Hopeless Records
Product Type: VINYL LP
UPC: 790692077311
Genre: Alternative Rock
Release Date: 2013-08-13
Number of Discs: 1
Vinyl LP pressing. 2013 release, the third album from the Maryland Alt-Rockers. The Dangerous Summer is composed of AJ Perdomo (vocals, bass), Cody Payne (guitar), Matt Kennedy (guitar, keys), Ben Cato (drums). Golden Record is about looking at where you've been at how it impacted you and creating something that can last forever because of everything and despite everything. The Dangerous Summer pulled inspiration from the bands that shaped and amazed them as musicians and what transpired is a record that is sure to resonate with both long time fans and new adopters.
Tracks:
1.1 Catholic Girls
1.2 Sins
1.3 Drowning
1.4 Knives
1.5 Honesty
1.6 We Will Wait in the Fog
1.7 Miles Apart
1.8 Into the Comfort
1.9 I M So Pathetic
1.10 Anchor
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4.2 ★★★★★
Based on 29 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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Already outdated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
★★★★★ 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
★★★★★ 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