SKU: 41495908228

Fool for Love & the Sad Lament of Pecos Bill

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Fool for Love & the Sad Lament of Pecos BillIn Fool For Love, situated at a seedy motel on the edge of the Mojave Desert, transient lovers May and Eddie spin around in a room in a relentless struggle for power and truth. Through recollections and dreams, multiple versions of a fierce and fatal love story are told. The Sad Lament of Pecos Bill on the Eve of Killing His Wife, another kind of love story in the form of a comic operetta, takes a distaff view of the Southwest's legendary cowpuncher

In Fool For Love, situated at a seedy motel on the edge of the Mojave Desert, transient lovers May and Eddie spin around in a room in a relentless struggle for power and truth. Through recollections and dreams, multiple versions of a fierce and fatal love story are told.

The Sad Lament of Pecos Bill on the Eve of Killing His Wife, another kind of love story in the form of a comic operetta, takes a distaff view of the Southwest's legendary cowpuncher and his mate Slue-foot Sue, with irreverent commentary on American heroes and heroics.

"No one knows better than Sam Shepard that the true American West is gone forever, but there may be no writer alive more gifted at reinventing it out of pure literary air." -Frank Rich, The New York Times

"Mr. Shepard is the most deeply serious humorist of the American theater, and a poet with no use whatever for the 'poetic.' He brings fresh news of love, here and now, in all its potency and deviousness and foolishness, and of many other matters as well." -Edith Oliver, The New Yorker

Sam Shepard (1943) is a playwright, actor, author, screen writer, and director whose work is performed on and off Broadway and in other theaters across the country. In 1979, he received the Pulitzer Prize for Drama for his play Buried Child. In 1983, he was nominated for an Academy Award for Best Supporting Actor in The Right Stuff. His other famous works include True West, A Lie of the Mind, and Curse of the Starving Class.




Binding Type: Paperback
Publisher: City Lights Books
Published: 01/01/2001
ISBN: 9780872861503
Pages: 150
Weight: 0.35lbs
Size: 7.90h x 5.40w x 0.30d
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SKU: 41495908228

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Zay
Battle Creek, US
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
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Reviewed in the United States on October 23, 2024
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Rory Derrick
Belleville, US
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
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Reviewed in the United States on December 2, 2021
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Cory P.
Lexington, US
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
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Reviewed in the United States on August 3, 2021
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Frank Gonzalez
Cuba, US
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
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Reviewed in the United States on April 7, 2024
I
Ira Laefsky
Lowell, US
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning. The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
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Reviewed in the United States on February 7, 2021

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