SKU: 75371685461
succulent plant night

succulent plant night Echeveria 'Night' (4 inch)

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Description

succulent plant night Echeveria 'Night' (4 inch)About Echeveria 'Night' (4 inch) A dramatic hybrid (Echeveria affinis E. shaviana), 'Night' captivates with its velvety, near black rosettes. Under moderate light, leaves unfold deep burgundy with plum undertones; intense sun exposure transforms them to obsidian blacka rare chromatic feat in succulents. Forms sculptural, compact rosettes (45" wide) with subtle wavy margins, reminiscent of folded silk. Unlike powdery varieties, its smooth surface

About Echeveria 'Night' (4 inch)

A dramatic hybrid (Echeveria affinis × E. shaviana), 'Night' captivates with its velvety, near-black rosettes. Under moderate light, leaves unfold deep burgundy with plum undertones; intense sun exposure transforms them to obsidian-black—a rare chromatic feat in succulents. Forms sculptural, compact rosettes (4–5" wide) with subtle wavy margins, reminiscent of folded silk. Unlike powdery varieties, its smooth surface absorbs light, creating a lustrous depth. In late spring, fiery contrast emerges: coral-pink bell flowers bloom atop burgundy stems, igniting against the dark foliage like embers in twilight.

How to Care for Echeveria 'Night'

Sunlight: Demands 5–6 hours of direct sun daily for intense coloration. Insufficient light reverts leaves to green. Caution: In temperatures >90°F (32°C), provide afternoon shade—dark foliage absorbs excess heat. South-facing windows/outdoor sun traps ideal.

Water: Water only when soil is bone-dry (test to pot bottom). *Reduce to 6-week intervals* during winter dormancy (<50°F/10°C). Never splash leaves—smooth surface promotes fungal issues.

Temperature: Optimal: 65–80°F (18–27°C). Cold Limit: Zones 10a–11 (min. 30°F/-1°C if absolutely dry). Heat Stress: Above 85°F (30°C) risks leaf scorch; enhance airflow. Cool nights deepen black hues.

Pot & Soil: Mandatory: Dark-colored terracotta pot (absorbs heat) + volcanic mix (40% lava grit, 40% pumice, 20% soil). Repot biennially in spring to prevent compaction.

Fertilizer: Feed twice yearly (early spring/late summer) with low-nitrogen formula (e.g., 3-8-8 at 25% strength). Excess nitrogen fades darkness.

Pests & Diseases: Vulnerable to aphids (attracted to new growth). Treat with neem oil. Prevent crown rot via strict "soak-dry" watering and sterile soil.

Propagation: Primary: Leaf propagation (95% success rate). Offsets rare—twist healthy leaves, callus 7 days, place on dry pumice.

More information

Primary color: Burgundy-black (sun-stressed)
Secondary color: Plum undertones (moderate light), Glossy surface
Flower color: Coral-pink bells
Product format: Rooted in 4" nursery pot
Cold hardiness zone: Zones 10a–11 (sheltered tolerance to 30°F / –1°C)
Suitability:
Full-sun desert gardens
South-facing "hot spot" windowsills
Heat-absorbing rockeries
Gothic-themed succulent arrangements
Unsuitable for:
Humid coastal climates
Shaded/indoor low-light settings
Frequent misting or rain exposure
Propagation: Leaf propagation (high yield), Rare offsets
Special characteristics:
Solar-adaptive chromatism – Intensifies to near-black under UV exposure.
Thermal efficiency – Dark foliage accelerates spring growth.
Velvet mystique – Glossy, texture-rich leaves defy typical echeveria forms.
Hybrid precision – Superior drought tolerance over both parent species.

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SKU: 75371685461

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Filipe Fernandes
Alexandria, 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
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Eddwin Paz
Phoenix, US
★★★★★ 5
proper documentation from langchain
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Liked the book. But Still missing Human in the loop.
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Reviewed in the United States on April 19, 2025
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B. Black
Omaha, 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
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Joe Faith
Port Orchard, 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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Tom C Taulli
Pawtucket, US
★★★★★ 5
Excellent Handbook
Format: Paperback
What got my interest in this book is the author. He's well-known as a leader in the LangChain world. And his book did not disappoint. It goes through the whole life cycle of development and there is a lot useful insights. If you are looking to build real-world genAI/agentic apps, then this book is certainly a great choice.
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Reviewed in the United States on April 11, 2025

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