SKU: 36524401046
black with gold sequin dress

black with gold sequin dress Black Gold Modest Maxi Fitted Gala Formal Evening Dress EN5010

Sale price$22.62 Regular price$25.13
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Ships within 48 hours · Estimated delivery Aug 21 - Aug 26

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Description

black with gold sequin dress Black Gold Modest Maxi Fitted Gala Formal Evening Dress EN5010This dress is made to order and turn around time is around 4 8 weeks. If you need rush service, please contact us prior to placing your order. Sequin Lace Zipper closure Standard size orders, please refer to our size chart below. Custom size dress will be made based on measurements provided. Measurement form will be emailed. Standard Size for Evening and Wedding Gowns Size 2 4 6 8 10 12 14 16 inch cm inch cm inch cm inch cm inch cm inch cm inch cm

This dress is made to order and turn around time is around 4-8 weeks. If you need rush service, please contact us prior to placing your order.

  • Sequin Lace 
  • Zipper closure

Standard size orders, please refer to our size chart below. 

Custom size dress will be made based on measurements provided. Measurement form will be emailed.

  

Standard Size for Evening and Wedding Gowns

Size 2 4 6 8 10 12 14 16
inch cm inch cm inch cm inch cm inch cm inch cm inch cm inch cm
Bust 32½ 83 33½ 87 34½ 88 35½ 90 36½ 93 38 97 39½ 101 41 104
Waist 25½ 65 26½ 68 27½ 70 28½ 73 29½ 75 31 79 32½ 83 34 86
Hip 36 92 37 94 38 97 39 99 40 102 42 107 43 110 45 114
Hollow to Hem 58 147 58 147 59 150 59 150 60 152 60 152 61 155 61 155

 

Size 16W 18W 20W 22W 24W 26W
inch cm inch cm inch cm inch cm inc cm inch cm
Bust 43 109 45 114 47 119 49 124 51 130 53 135
Waist 36 92 38½ 98 41 105 43 109 45 115 47½ 121
Hip 45½ 116 47½ 121 49½ 126 51½ 131 53½ 136 55½ 141
Hollow to Hem 61 155 61 155 61 155 61 155 61 155 61 155

 

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SKU: 36524401046

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Verified Purchase
David Escobar
Dallas, US
★★★★★ 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
F
Verified Purchase
Filipe Fernandes
Los Angeles, 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
Verified Purchase
Eddwin Paz
Charlottesville, 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
B
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B. Black
Grantham, 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
J
Joe Faith
Phoenix, 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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