joboa snake plant Sansevieria 'Jaboa' 10" at SPROUT HOME
SKU: 5991869331
joboa snake plant

joboa snake plant Sansevieria 'Jaboa' 10" at SPROUT HOME

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joboa snake plant Sansevieria 'Jaboa' 10" at SPROUT HOMEThe Sansevieria is a beloved plant for so many reasons, the top being that it is so easy to care for. It is known by a host of many common names which include "Mother In Law Tongue", "Snake Plant", "Devils Tongue" just to name few. They were recently moved to the genus Dracaena due to further research in to their genetics. 'Jaboa' has wider strappy green leaves with a silver grey mottled pattern. It can tolerate pretty much anything except for over

The Sansevieria is a beloved plant for so many reasons, the top being that it is so easy to care for.  It is known by a host of many common names which include "Mother In Law Tongue", "Snake Plant", "Devils Tongue" just to name few.  They were recently moved to the genus Dracaena due to further research in to their genetics. 'Jaboa' has wider strappy green leaves with a silver grey mottled pattern.  It can tolerate pretty much anything except for over loving them.  

  • Light: part sun to part shade
  • Soil: succulent mix
  • Watering: let dry between watering

Images are used for general reference only. The size and shape of each plant will vary. 

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SKU: 5991869331

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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
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Eddwin Paz
Carnegie, 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
Lexington, 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Already outdated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
Waukegan, 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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Tom C Taulli
Phoenix, 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

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