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1. |
Record Nr. |
UNINA9910286406603321 |
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Autore |
Adhémar Jean |
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Titolo |
Le Paysage normand dans la littérature et dans l’art / / Centre d'art esthétique et littérature (Université de Rouen) |
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Pubbl/distr/stampa |
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Mont-Saint-Aignan, : Presses universitaires de Rouen et du Havre, 2018 |
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ISBN |
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Descrizione fisica |
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1 online resource (310 p.) |
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Altri autori (Persone) |
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BailbéJacques |
BailbeJoseph-Marc |
BaritaudBernard |
BenrekassaGeneviève |
BerthierPhilippe |
BessièreJean |
BrasseurPatrice |
ClaudonFrancis |
CognyPierre |
ColliotRégine |
DeslogesDenis |
DonnellMary Mc |
GotOlivier |
HenryAnne |
JoukovskyFrançoise |
LacosteClaudine |
NiderstAlain |
Noisette De CrauzatClaude |
SeebacherJacques |
Centre d'art esthétique et littérature (Université de Rouen) |
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Soggetti |
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Literature (General) |
Normandie |
paysage |
littérature |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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L’ouvrage Le Paysage normand dans la littérature et dans l’art contient les textes des communications qui ont été présentées sur ce thème au Colloque d’Evreux, en mars 1978. Une exposition organisée par Geneviève Viallefond se tenait en même temps au Musée d’Evreux. Ce recueil reflète les orientations suivantes : Demeures et sites inspirés, Le Pays des noms, Espace et lumière du paysage, A la recherche d’un mythe. Le paysage normand n’a jamais cessé de solliciter artistes et écrivains, toujours attentifs à sa verdure, ses nuages, ses chaumières à colombage, ses cours de ferme et ses pommiers, la moiteur scintillante de ses bords de mer, ses ruines et ses monuments prestigieux. Ils ont aimé à s’attarder sur une nature familière, apaisante, proche de l’homme et à célébrer les travaux et les jours du Pays de Caux ou du Pays d’Ouche, associés à certains traits caractéristiques de la psychologie normande. Les études que nous publions donnent une idée de ces jeux de l’imaginaire et du réel, de ces rencontres inattendues, de ces réactions passionnées où l’écrivain se fait peintre, et le peintre va vers la littérature pour dire la beauté de la province normande. |
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2. |
Record Nr. |
UNINA9910797481403321 |
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Autore |
Sherrington Malcolm |
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Titolo |
Mastering Julia : develop your analytical and programming skills further in Julia to solve complex data processing problems / / Malcolm Sherrington |
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Pubbl/distr/stampa |
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Birmingham, England : , : Packt Publishing, , 2015 |
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©2015 |
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ISBN |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (410 p.) |
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Collana |
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Community Experience Distilled |
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Disciplina |
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Soggetti |
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Programming languages (Electronic computers) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: The Julia Environment; Introduction; Philosophy; Role in data science and big |
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data; Comparison with other languages; Features; Getting started; Julia sources; Building from source; Installing on CentOS; Mac OS X and Windows; Exploring the source stack; Juno; IJulia; A quick look at some Julia; Julia via the console; Installing some packages; A bit of graphics creating more realistic graphics with Winston; My benchmarks; Package management; Listing, adding, and removing |
Choosing and exploring packagesStatistics and mathematics; Graphics; Web and networking; Database and specialist packages; How to uninstall Julia; Adding an unregistered package; What makes Julia special; Parallel processing; Multiple dispatch; Homoiconic macros; Interlanguage cooperation; Summary; Chapter 2: Developing in Julia; Integers, bits, bytes, and bools; Integers; Logical and arithmetic operators; Booleans; Arrays; Operations on matrices; Elemental operations; A simple Markov chain - cat and mouse; Char and strings; Characters; Strings; Unicode support; Regular expressions |
Byte array literalsVersion literals; An example; Real, complex, and rational numbers; Reals; Operators and built-in functions; Special values; BigFloats; Rationals; Complex numbers; Juliasets; Composite types; More about matrices; Vectorized and devectorized code; Multidimensional arrays; Broadcasting; Sparse matrices; Data arrays and data frames; Dictionaries, sets, and others; Dictionaries; Sets; Other data structures; Summary; Chapter 3: Types and Dispatch; Functions; First-class objects; Passing arguments; Default and optional arguments; Variable argument list; Named parameters; Scope |
The Queen's problemJulia's type system; A look at the rational type; A vehicle datatype; Typealias and unions; Enumerations (revisited); Multiple dispatch; Parametric types; Conversion and promotion; Conversion; Promotion; A fixed vector module; Summary; Chapter 4: Interoperability; Interfacing with other programming environments; Calling C and Fortran; Mapping C types; Calling a Fortran routine; Calling curl to retrieve a web page; Python; Some others to watch; The Julia API; Calling API from C; Metaprogramming; Symbols; Macros; Testing; Error handling; The enum macro; Tasks |
Parallel operationsDistributed arrays; A simple MapReduce; Executing commands; Running commands; Working with the filesystem; Redirection and pipes; Perl one-liners; Summary; Chapter 5: Working with Data; Basic I/O; Terminal I/O; Disk files; Text processing; Binary files; Structured datasets; CSV and DLM files; HDF5; XML files; DataFrames and RDatasets; The DataFrames package; DataFrames; RDatasets; Subsetting, sorting, and joining data; Statistics; Simple statistics; Samples and estimations; Pandas; Selected topics; Time series; Distributions; Kernel density; Hypothesis testing; GLM; Summary |
Chapter 6: Scientific Programming |
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Sommario/riassunto |
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This hands-on guide is aimed at practitioners of data science. The book assumes some previous skills with Julia and skills in coding in a scripting language such as Python or R, or a compiled language such as C or Java. |
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