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Description
Woutay Shower Curtain Mould Proof Resistant Autumn Trees and Leaves in Sun Light,Water Repellant Fabric,Polyester,Size 180x180CMFeatures Fully printed, shower curtain size 180 x 180 cm 71 x 71 inches. This shower curtain is made of waterproof 100% polyester and comes with 12 plastic hooks for easy installation. Waterproof: Ball type waterproof, effectively mold resistant, efficient and quick drying; High temperature resistant, hot water bath heater does not deform at high temperatures, and has a good hand feel; Opaque protection of privacy, tangible thickening of invisible
Features
- Fully printed, shower curtain size 180 x 180 cm/71 x 71 inches.
- This shower curtain is made of waterproof 100% polyester and comes with 12 plastic hooks for easy installation.
- Waterproof: Ball type waterproof, effectively mold resistant, efficient and quick drying; High temperature resistant, hot water bath heater does not deform at high temperatures, and has a good hand feel; Opaque protection of privacy, tangible thickening of invisible privacy
- Fashionable designs can match and blend with your existing decorations. You can give this as a gift to others at family gatherings, holidays, and birthdays. It can be used as an independent curtain or as a lining in combination with other curtains.
- Machine washable, easy to maintain and maintain. Please wash separately in cold water with a gentle cycle and do not use bleach
Product Description
Product description Our product designs are very diverse and can be paired with different bathroom decoration styles. Shower curtains are mold resistant, and their waterproof properties allow them to dry quickly. At the same time, the large size provides comprehensive coverage for your shower or bathtub, which can maintain your privacy. This shower curtain is perfect for family gatherings, holidays, or birthday gifts. It can also be used as an independent curtain. Safety Warning Do not dry clean or iron. Avoid using harsh cleaning products.Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
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4.6 ★★★★★
Based on 793 reviews
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Product Reviews
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 16, 2019
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript.
Great book.
WAS THIS REVIEW HELPFUL?YesReportShare
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
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