| Dimensions | 11 × 18 × 1.5 cm |
|---|---|
| Language |
Paperback. Blue cover with black title.
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Surveys the pre-Christian beliefs of the Scandinavian and Germanic peoples. Provides an introduction to this subject, giving basic outlines to the sagas and stories, and helps identify the character traits of not only the well known but also the lesser gods of the age.
Review: Brilliant book, highly readable, well researched academic study, setting norse mythology in a wide context easy to grasp. Critical and objective, rich with interesting facts. Really helps with the development of a meaningful grasp of norse gods in daily living rather than listing their qualities as so many books do. Draws on the full range of available sources whilst acknowledging the gaps in knowledge. Unpicks bias & influence of traditional worldviews (eg.christianity) but also looks at themes shared across peoples and ages. The author’s passion and expertise shines. Would highly recommend this as a ‘staple’ if you are seeking to develop your understanding of norse mythology.
NOTE: This is an original book from the library gathered by the famous Cambridge Don, computer scientist, food and wine connoisseur, Jack Arnold LANG. Note: Jack founded the Michelin Guide ‘Midsummer House’- Cambridge’s paramount restaurant. This dining experience is hidden amongst the grassy pastures and grazing cattle of Midsummer Common and perched on the banks of the River Cam.
In 2008, Jack was one of the co-founders of the Raspberry Pi Foundation, alongside other members of the Department, and acted as the Foundation’s Chair. The project’s original goals were modest: to build and distribute low-cost computers for prospective applicants to our Computer Science degree. Initially the project was a “success disaster”, as Jack would say, as demand far outstripped the low-scale manufacturing plans. Ultimately the Raspberry Pi became the UK’s most successful computer with more than 60 million sold to date. Jack was drawn to the educational possibilities of the Raspberry Pi, its potential uses in emerging economies and the way it could support self-directed learning.

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