
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Jul 6 - Jul 11
For Your Every Summer RSVP, with Code: SUMMER15
Description
Espoma Organic Pre Emergent Preventer & Fertilizer Lawn Fertilizer For All Grasses 1250 sq ftEspoma Organic Weed Preventer helps prevent unsightly weeds from popping up in your lawn while it nourishes the grass so that it becomes more resistant to heat, drought and other stress. And because the product is all natural, it is safe for your family, your pets and the environment. Prevents dandelions, crabgrass and other common weeds Provides long lasting greening that wont burn Made from 100% corn gluten meal Children and pets can play on lawn
Espoma Organic Weed Preventer helps prevent unsightly weeds from popping up in your lawn while it nourishes the grass so that it becomes more resistant to heat, drought and other stress. And because the product is all natural, it is safe for your family, your pets and the environment.
- Prevents dandelions, crabgrass and other common weeds
- Provides long lasting greening that won’t burn
- Made from 100% corn gluten meal
- Children and pets can play on lawn immediately after application
- Safe to use around children and pets
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 | Prevents dandelions, crabgrass and other common we |
| Feature 2 Text | Provides long lasting greening that won’t burn |
| Feature 3 Text | Made from 100% corn gluten meal |
| Feature 4 Text | Children and pets can play on lawn immediately aft |
| Feature 5 Text | Safe to use around children and pets |
| Feature 6 Text | |
| Feature 7 Text | |
| Feature 8 Text | |
| Feature 9 Text | |
| Item Restriction Flag | Y |
| Product Source Code | A |
| Product Type | Lawn Fertilizer |
| Product Type Code | 009010901003 |
| Sub-category | Lawn Fertilizers |
| Proposition 65 Flag | N |
| Retail Velocity Code | C |
| Shipping Code | Y |
| Store Availability Rank | 08 |
| Unit Velocity Code | B |
| Vendor Name | ESPOMA COMPANY THE |
| Vendor Number | 08351 |
| Web Order Multiple | 1 |
| Proposition 65 Warning | |
| ISPU Only Item Flag | N |
| Category | Lawn Care |
| Merchandise Class Description | FERTILIZERS |
| Product Group Description | PRE-EMERGENT GRANULES |
| Product Type Noun | Fertilizer |
| Search Field | Espoma Organic Pre Emergent Preventer & Fertilizer |
| Sales Rank | 002 |
| What's Included | |
| DIFM Service Code | N |
| Warranty Code | N |
| Old Default Base SKU | |
| Paint Code | N |
| Default Base SKU | |
| Customer Rating | 4 |
| Reviews | 9 |
| Accessory SKUs | |
| Replacement Part SKUs | |
| Weighted Rating | 3.5 |
| Sub Brand | Organic |
| Brand Name | Espoma |
| Local SKU Available Stores | ALL |
| Local SKU Store SKUs | 7209836 |
| Application Season | spring |
| Container Size | 25-pound |
| Coverage Area | 1250-square-foot |
| Grass Type | all-grasses |
| OMRI Certified | no |
| Organic | yes |
| Packaging Type | bagged |
| Product Form | granules |
| Suitable for Vegetables | yes |
| Water Soluble | yes |
| Fertilizer Analysis (N-P-K) | 9-0-0 |
| Phosphorus Free | yes |
| Application Conditions | established |
| Iron Included | no |
| Pre/Post Emergent | pre-emergent |
| Primary Usage | pre-emergent-preventer-&-fertilizer |
| Size of Lawn | small-(4000-sq-ft-or-less) |
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.
- To process your return/exchange, please contact us at [email protected]
- Please click here for more details>>> Return & Exchange Policy
4.7 ★★★★★
Based on 2197 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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