SKU: 98511464738

Round Bottom Two Neck Boiling Flasks

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Description

Round Bottom Two Neck Boiling FlasksRound Bottom Two Neck Boiling Flasks are crafted to resist extreme temperatures and simplify complex chemical reactions & distillation processes. With two necks, these flasks allow for the precise implementation of reagents, thermometers, or other glassware, permitting precise reactions & distillation control monitoring. They provide stability during heating and ensure uniform heat distribution and are a reliable choice for many lab tasks due to their

Round Bottom Two Neck Boiling Flasks are crafted to resist extreme temperatures and simplify complex chemical reactions & distillation processes. With two necks, these flasks allow for the precise implementation of reagents, thermometers, or other glassware, permitting precise reactions & distillation control/monitoring.

They provide stability during heating and ensure uniform heat distribution and are a reliable choice for many lab tasks due to their exceptional durability and thermal shock resistance.

Round Bottom Boiling Two Neck Flasks are manufactured from Borosilicate Glass which offers excellent resistance to chemical corrosion and thermal shock.  These flasks are essential in any lab and are great for heating or boiling liquid, distillation, Oil Extraction, containing chemical reactions, mixing solutions, and cultivating media.

Brand: Science Equip

Packing: 1Pc/Pk

 Note: End User Declaration required for 500ml and above size flask purchase.

Image for illustrative purposes only. 

Item Code Nominal Capacity (ml) Centre Socket Side Socket Approx. overall height (mm)
RB15.00.101041 100 24/29 24/29 100
RB15.00.101042 250 24/29 24/29 140
RB15.00.101043 500 24/29 24/29 163
RB15.00.101044 1000 24/29 24/29 200
RB15.00.101045 1000 34/35 24/29 200
RB15.00.101046 2000 24/29 24/29 240
RB15.00.101047 5000 24/29 24/29 260
RB15.00.101048 10000 24/29 24/29
RB15.00.101049 20000 34/35 34/35
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SKU: 98511464738

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4.7 ★★★★★
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D
Verified Purchase
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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 16, 2019
F
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Filipe Fernandes
Port Orchard, 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
Chelsea, 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
Battle Creek, 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
Whiting, 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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