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Author: Stephen Walsh
Publisher: Random House
ISBN: 1473586623
Category : Fiction
Languages : en
Pages : 240
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Book Description
"Great, beautiful little studies of unspoken fear and longing and love, told with a sure-footed delicacy rare in a debut" Sarah Moss, Irish Times "An exciting, original, and very welcome new voice" Donal Ryan "These are startling, adventurous and often wonderful stories. I loved this collection" Roddy Doyle A sharp and insightful debut short story collection about the pitfalls of ordinary life A wife yearns to escape the tight-fisted confines of a package holiday. A boy dreams of footballing greatness as his mother mourns a loss. A man tries to assemble an absent child's playhouse, with impossible instructions and too much beer. A woman seeks clarity from automated voices. A father is distracted from Christmas tree shopping with his son by the looming pressure of quarterly sales targets. Shine/Variance captures the tiny crises and wonders of daily life with warmth, wit and decisive clarity. Ordinary people - commuters, call centre workers, children and parents - struggle for stability while craving more, and the schism between expectation and reality is only rarely bridged. Yet, amidst the faltering, recognition and bright moments of hope still illuminate their days. Fresh, tender and darkly funny, these stories are a window into the longings, frustrations and painfully human connections of ordinary life from a remarkable new voice in fiction. "The most powerful new collection I've read in some years" John Boyne "Brilliantly bats, staggeringly compelling, and ferociously funny. Stephen Walsh rips the concreteness of reality straight from us and reflects back a more wobbly version of our turbulent lives... Completely unique" June Caldwell "Full of assured originality and freshness - a new writer much to be welcomed" Bernard MacLaverty
Author: Stephen Walsh
Publisher: Random House
ISBN: 1473586623
Category : Fiction
Languages : en
Pages : 240
Get Book Here
Book Description
"Great, beautiful little studies of unspoken fear and longing and love, told with a sure-footed delicacy rare in a debut" Sarah Moss, Irish Times "An exciting, original, and very welcome new voice" Donal Ryan "These are startling, adventurous and often wonderful stories. I loved this collection" Roddy Doyle A sharp and insightful debut short story collection about the pitfalls of ordinary life A wife yearns to escape the tight-fisted confines of a package holiday. A boy dreams of footballing greatness as his mother mourns a loss. A man tries to assemble an absent child's playhouse, with impossible instructions and too much beer. A woman seeks clarity from automated voices. A father is distracted from Christmas tree shopping with his son by the looming pressure of quarterly sales targets. Shine/Variance captures the tiny crises and wonders of daily life with warmth, wit and decisive clarity. Ordinary people - commuters, call centre workers, children and parents - struggle for stability while craving more, and the schism between expectation and reality is only rarely bridged. Yet, amidst the faltering, recognition and bright moments of hope still illuminate their days. Fresh, tender and darkly funny, these stories are a window into the longings, frustrations and painfully human connections of ordinary life from a remarkable new voice in fiction. "The most powerful new collection I've read in some years" John Boyne "Brilliantly bats, staggeringly compelling, and ferociously funny. Stephen Walsh rips the concreteness of reality straight from us and reflects back a more wobbly version of our turbulent lives... Completely unique" June Caldwell "Full of assured originality and freshness - a new writer much to be welcomed" Bernard MacLaverty
Author: Daniel J. Denis
Publisher: John Wiley & Sons
ISBN: 1119578183
Category : Mathematics
Languages : en
Pages : 304
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Book Description
Applied Univariate, Bivariate, and Multivariate Statistics Using Python A practical, “how-to” reference for anyone performing essential statistical analyses and data management tasks in Python Applied Univariate, Bivariate, and Multivariate Statistics Using Python delivers a comprehensive introduction to a wide range of statistical methods performed using Python in a single, one-stop reference. The book contains user-friendly guidance and instructions on using Python to run a variety of statistical procedures without getting bogged down in unnecessary theory. Throughout, the author emphasizes a set of computational tools used in the discovery of empirical patterns, as well as several popular statistical analyses and data management tasks that can be immediately applied. Most of the datasets used in the book are small enough to be easily entered into Python manually, though they can also be downloaded for free from www.datapsyc.com. Only minimal knowledge of statistics is assumed, making the book perfect for those seeking an easily accessible toolkit for statistical analysis with Python. Applied Univariate, Bivariate, and Multivariate Statistics Using Python represents the fastest way to learn how to analyze data with Python. Readers will also benefit from the inclusion of: A review of essential statistical principles, including types of data, measurement, significance tests, significance levels, and type I and type II errors An introduction to Python, exploring how to communicate with Python A treatment of exploratory data analysis, basic statistics and visual displays, including frequencies and descriptives, q-q plots, box-and-whisker plots, and data management An introduction to topics such as ANOVA, MANOVA and discriminant analysis, regression, principal components analysis, factor analysis, cluster analysis, among others, exploring the nature of what these techniques can vs. cannot do on a methodological level Perfect for undergraduate and graduate students in the social, behavioral, and natural sciences, Applied Univariate, Bivariate, and Multivariate Statistics Using Python will also earn a place in the libraries of researchers and data analysts seeking a quick go-to resource for univariate, bivariate, and multivariate analysis in Python.
Author:
Publisher:
ISBN:
Category : Administrative law
Languages : en
Pages : 1702
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Book Description
Author:
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ISBN:
Category : Law reports, digests, etc
Languages : en
Pages : 1258
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Book Description
Includes the decisions of the Supreme Courts of Missouri, Arkansas, Tennessee, and Texas, and Court of Appeals of Kentucky; Aug./Dec. 1886-May/Aug. 1892, Court of Appeals of Texas; Aug. 1892/Feb. 1893-Jan./Feb. 1928, Courts of Civil and Criminal Appeals of Texas; Apr./June 1896-Aug./Nov. 1907, Court of Appeals of Indian Territory; May/June 1927-Jan./Feb. 1928, Courts of Appeals of Missouri and Commission of Appeals of Texas.
Author: Srinika Jayaratne
Publisher: Columbia University Press
ISBN: 9780231514316
Category : Social Science
Languages : en
Pages : 362
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Book Description
Empirical Clinical Practice
Author:
Publisher:
ISBN:
Category : Law
Languages : en
Pages : 470
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Book Description
Each issue includes section: Notes on recent Missouri cases.
Author: Samuel Johnson
Publisher:
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Category :
Languages : en
Pages : 1440
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 792
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Book Description
Author: George R. Zug
Publisher: Academic Press
ISBN: 012782622X
Category : Business & Economics
Languages : en
Pages : 646
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Book Description
This book is a review of all the myriad aspects of the biology, ecology, evolution, physiology, and behavior of amphibians and reptiles. (Midwest).
Author: Andreas Holzinger
Publisher: Springer Nature
ISBN: 3031408373
Category : Computers
Languages : en
Pages : 335
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Book Description
This volume LNCS-IFIP constitutes the refereed proceedings of the 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023 in Benevento, Italy, during August 28 – September 1, 2023. The 18 full papers presented together were carefully reviewed and selected from 30 submissions. The conference focuses on integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.
