JOHN THORNDYKE'S CASES de
Ficha técnica
- JOHN THORNDYKE'S CASES
- Idioma: INGLÉS
- Formatos: Pdf, ePub, MOBI, FB2
- ISBN: 9788726864830
- Editorial: SAGA EGMONT
Descarga de libros de pdf en pdf gratis. JOHN THORNDYKE'S CASES de 9788726864830 (Literatura española)
Overview
John Thorndyke is a Sherlock Holmes inspired forensic detective employed primarily as a visionary expert witness. He uses the available science and technology of his era to determine and demonstrate how and when certain crimes were perpetrated. Unlike Holmes, the Edwardian sleuth Thorndyke is roundly mocked for his deductive abilities. R. Austin Freeman presents eight cases for Dr. John Thorndyke, including a classic locked-room murder mystery and a dead woman discovered on a train. Dr. Thorndyke punctiliously gathers the evidence of stray footprints, dust, hairs, fibres and even a single blue sequin to resolve the mystery and see that justice is served. A compelling and fascinating detective set of classic detective stories. A decidedly steampunk atmosphere for the present-day reader. Highly recommended for enthusiasts of Conan Doyles Sherlock Holmes novels as well as the popular 2010 TV series Sherlock starring Benedict Cumberbatch and Martin Freeman. Fans of the CSI: Crime Scene Investigation series will also be intrigued by the life and ways of literatures first forensic detective. R Austin Freeman (1862-1943) was an English doctor. He created the first and best-known forensic scientist, Dr John Thorndyke. Freeman was born in London, the son of a tailor. He took a medical degree from Middlesex Hospital Medical College. He married Annie Elizabeth Edwards in 1887 and had two sons. He travelled to the Gold Coast of Africa for work, but after seven years was invalided out. He returned to England unable to work in medicine and began writing fiction in 1902. There followed a long series of Dr Thorndyke mysteries, including some of the first inverted mystery stories, where the identity of the criminal is revealed at the outset and the interest of the story lies in seeing how the detection is done.
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