One Day We'll All Be Dead and None of This Will Matter: Essays
SKU: 62234621090

One Day We'll All Be Dead and None of This Will Matter: Essays

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One Day We'll All Be Dead and None of This Will Matter: EssaysOne of NPR's Best Books of the Year A DEBUT COLLECTION OF FIERCE, FUNNY ESSAYS ABOUT GROWING UP THE DAUGHTER OF INDIAN IMMIGRANTS IN WESTERN CULTURE, ADDRESSING SEXISM, STEREOTYPES, AND THE UNIVERSAL MISERIES OF LIFE In One Day We'll All Be Dead and None of This Will Matter, Scaachi Koul deploys her razor sharp humor to share all the fears, outrages, and mortifying moments of her life. She learned from an early age what made her miserable, and for

One of NPR's Best Books of the Year

A DEBUT COLLECTION OF FIERCE, FUNNY ESSAYS ABOUT GROWING UP THE DAUGHTER OF INDIAN IMMIGRANTS IN WESTERN CULTURE, ADDRESSING SEXISM, STEREOTYPES, AND THE UNIVERSAL MISERIES OF LIFE

In One Day We'll All Be Dead and None of This Will Matter, Scaachi Koul deploys her razor-sharp humor to share all the fears, outrages, and mortifying moments of her life. She learned from an early age what made her miserable, and for Scaachi anything can be cause for despair. Whether it's a shopping trip gone awry; enduring awkward conversations with her bikini waxer; overcoming her fear of flying while vacationing halfway around the world; dealing with Internet trolls, or navigating the fears and anxieties of her parents. Alongside these personal stories are pointed observations about life as a woman of color: where every aspect of her appearance is open for critique, derision, or outright scorn; where strict gender rules bind in both Western and Indian cultures, leaving little room for a woman not solely focused on marriage and children to have a career (and a life) for herself.

With a sharp eye and biting wit, incomparable rising star and cultural observer Scaachi Koul offers a hilarious, scathing, and honest look at modern life.



Binding Type: Paperback
Publisher: Picador USA
Published: 05/02/2017
ISBN: 9781250121028
Pages: 256
Weight: 0.45lbs
Size: 8.20h x 5.40w x 0.80d

Review Citations: Kirkus Reviews 03/01/2017
Publishers Weekly 03/13/2017
Booklist 04/01/2017 pg. 13
Shelf Awareness 05/30/2017
School Library Journal 01/01/2018
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SKU: 62234621090

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David Escobar
Birmingham, US
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
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Reviewed in the United States on November 16, 2019
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Filipe Fernandes
Houston, 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
Carnegie, 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
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B. Black
Lowell, 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
Louisville, 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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