SKU: 72937772748

Coming to Terms with Timelessness

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Description

Coming to Terms with TimelessnessTime, and in particular timelessness, plays a key role in Daoism, both in its more speculative and practical dimensions. This book explores different aspects of its vision in close comparison with other thinkers, religions, and cultures. It alternates presentations of a more theoretical, speculative nature with those that focus on concrete life situations, discussing in turn issues of personal perception, philosophical speculation, visual

Time, and in particular timelessness, plays a key role in Daoism, both in its more speculative and practical dimensions. This book explores different aspects of its vision in close comparison with other thinkers, religions, and cultures. It alternates presentations of a more theoretical, speculative nature with those that focus on concrete life situations, discussing in turn issues of personal perception, philosophical speculation, visual representation, self-cultivation, and meaning in life. Contributors explore the psychological potentials of time perception, examine what exactly constitutes a situation, outline DaoismÕs holistic worldview, compare Laozi and Plotinus, and examine Daoist versus Greek geometric models of the cosmos. They further study the role of Daoist notions in New Wave Taiwanese cinema, relate Daoist ideas to modern thinkers and its cultivation techniques to Zen Buddhism, trace the relevance of the Yijing to the Jungian concept of synchronicity, and explore the problem of boredom and predictability in prolongevity and immortality. The book as a whole offers a wide range of topics and perspectives, engaging with new materials while stimulating innovative insights and opening new avenues of exploration. A must for all interested in the nature of Daoism, issues of time, and comparative philosophy.

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SKU: 72937772748

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4.7 ★★★★★
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Verified Purchase
Kindle Customer
Alexandria, US
★★★★★ 5
A data engineering journey from basic to advance topics
Format: Kindle
Is the third time that I read this book. One of the most valuable aspects is the fact that depending of your data engineering mature, you'll always find a new aspect or ideas to put in practice. Hope the second version come soon!
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Reviewed in the United States on June 26, 2022
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Wilian Henrique Cavassin
Waukegan, US
★★★★★ 1
Lottery Book
Format: Paperback
This book contains a lot of opinions without facts. Some are true, some are not. But its a lottery, you cold pick a gold text or a text that is full of buzzwords, without any meaning, fact and useless in real life.
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Reviewed in the United States on March 25, 2026
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NotJeffBezos
Draper, US
★★★★★ 2
Glad I bought this used
Format: Paperback
It’s packed with buzzwords and adjectives, offering plenty of in-vacuum advice and self-promotional ‘hire-me’ vibes. There’s some real insight here, but it’s buried under a lot of noise.
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Reviewed in the United States on February 11, 2026
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Jenny Holden
Whiting, US
★★★★★ 1
Not useful
Format: Paperback
This book has a few pieces of good advice, but its buried under mountains of weird and amateur level musings. Example: Paul Singman advocates for eliminating ETL entirely. How? Just reprogram the applications to which you may or may not have the source code to handle your data processing. He calls Intention Data Transfer 🥴 Thanks for the advice Paul, I'll get right on that.
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Reviewed in the United States on February 17, 2026
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David Escobar
Pawtucket, US
★★★★★ 5
Good starting point. But can't find the code.
Format: Kindle
Reading chapter 3. It was so far so good, but can't find the code in the repo. "All the related code can be found in the repository under project/hooks-notification." And in the repo I see no project folder. Please help!
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Reviewed in the United States on April 3, 2026

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