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Description
Hi-Yield Weed Killer RTU Liquid 32 ozControls henbit, dollarweed, chickweed, clover, sandspur and others listed on label. Controls both emerged weeds and weeds from seed in St. Augustine and centipede grass. 4. 3 oz per gallon covers 500 square feet Controls listed tough weeds 5 teaspoons per quart covers 100 square feet Features Assembly Code N Country Of Origin US Delivery Offered Y Department Number 7 Display Only Item N Dollar Velocity Code A Feature 10 Text Feature 1 Text 4. 3 oz
Controls henbit, dollarweed, chickweed, clover, sandspur and others listed on label. Controls both emerged weeds and weeds from seed in St. Augustine and centipede grass.
- 4.3 oz per gallon covers 500 square feet
- Controls listed tough weeds
- 5 teaspoons per quart covers 100 square feet
Features
| Assembly Code | N |
| Country Of Origin | US |
| Delivery Offered | Y |
| Department Number | 7 |
| Display Only Item | N |
| Dollar Velocity Code | A |
| Feature 10 Text | |
| Feature 1 Text | 4.3 oz per gallon covers 500 square feet |
| Feature 2 Text | Controls listed tough weeds |
| Feature 3 Text | 5 teaspoons per quart covers 100 square feet |
| Feature 4 Text | |
| Feature 5 Text | |
| Feature 6 Text | |
| Feature 7 Text | |
| Feature 8 Text | |
| Feature 9 Text | |
| Item Restriction Flag | Y |
| Product Source Code | A |
| Product Type | Killer |
| Product Type Code | 009010901007 |
| Sub-category | Weed and Vegetation Killers |
| Proposition 65 Flag | Y |
| Retail Velocity Code | A |
| Shipping Code | Y |
| Store Availability Rank | 08 |
| Unit Velocity Code | A |
| Vendor Name | VOLUNTARY PURCHASING GROUPS IN |
| Vendor Number | 45642 |
| Web Order Multiple | 1 |
| Proposition 65 Warning | This product can expose you to chemicals including |
| ISPU Only Item Flag | N |
| Category | Lawn Care |
| Merchandise Class Description | WEED CONTROL PRODUCTS |
| Product Group Description | WEED CONTROL |
| Product Type Noun | Killer |
| Search Field | Hi-Yield Weed Killer RTU Liquid 32 oz Lawn Care We |
| Sales Rank | 015 |
| What's Included | |
| DIFM Service Code | N |
| Warranty Code | N |
| Old Default Base SKU | |
| Paint Code | N |
| Default Base SKU | |
| Accessory SKUs | |
| Replacement Part SKUs | |
| Brand Name | Hi-Yield |
| Reviews | 5 |
| Customer Rating | 4.5 |
| Local SKU Available Stores | ALL |
| Local SKU Store SKUs | 7298144 |
| Container Size | 32-ounce |
| Coverage Area | 3720-square-foot |
| Organic | no |
| Packaging Type | bottle |
| Product Form | rtu-liquid |
| Rain Proof | no |
| Pre/Post Emergent | both |
| Primary Active Ingredient | atrazine-and-related-compounds |
| Application Location | lawn |
| Type of Weed | broadleaf-weeds |
| Targeted Weed | weed |
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4.5 ★★★★★
Based on 26 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.
WAS THIS REVIEW HELPFUL?YesReportShare
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
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 17, 2025
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