Introduction à l'informatique - 1re année prépa scientifique PDF Download

Author: Bays Serge
Publisher: Editions Ellipses
ISBN: 2340049911
Category : Computers
Languages : fr
Pages : 288

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Book Description
Cet ouvrage est destiné principalement aux étudiants en première année de classes préparatoires aux Grandes Écoles. Son ambition est de les accompagner tout au long de l’année et de leur permettre un travail en autonomie. Il se veut le plus complet possible tout en restant dans les limites du programme d’informatique commun aux différentes voies de la filière scientifique. Il convient aussi aux étudiants en deuxième année qui souhaitent tester ou consolider leurs connaissances dans la perspective des concours ainsi qu’aux enseignants souhaitant se former. Le langage de programmation utilisé, Python version 3, est très riche mais il a été choisi de n’utiliser que le strict minimum permettant de répondre aux attentes du programme. Treize chapitres sont composés d’une partie cours suivie par de nombreux exercices variés et progressifs qui sont tous corrigés. Deux chapitres concluent ce livre avec les principaux outils des bibliothèques NumPy, Matplotlib, SciPy, utilisées dans le cadre de l’ingénierie numérique et de la simulation, et un résumé condensé du langage Python. Une grande partie de ce livre est accessible à toute personne souhaitant s’initier à la programmation en Python et peut convenir également aux élèves et aux enseignants dans le cadre de la spécialité ISN en terminale S.

Author: Serge Bays
Publisher:
ISBN: 9782340012172
Category :
Languages : fr
Pages : 281

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Book Description
Cet ouvrage est destiné principalement aux étudiants en première année de classes préparatoires aux Grandes Ecoles. Son ambition est de les accompagner tout au long de l'année et de leur permettre un travail en autonomie. Il se veut le plus complet possible tout en restant dans les limites du programme d'informatique commun aux différentes voies de la filière scientifique. Il convient aussi aux étudiants en deuxième année qui souhaitent tester ou consolider leurs connaissances dans la perspective des concours ainsi qu'aux enseignants souhaitant se former. Le langage de programmation utilisé, Python version 3, est très riche mais il a été choisi de n'utiliser que le strict minimum permettant de répondre aux attentes du programme. Treize chapitres sont composés d'une partie cours suivie par de nombreux exercices variés et progressifs qui sont tous corrigés. Deux chapitres concluent ce livre avec les principaux outils des bibliothèques NumPy, Matplotlib, SciPy, utilisées dans le cadre de l'ingénierie numérique et de la simulation, et un résumé condensé du langage Python. Une grande partie de ce livre est accessible à toute personne souhaitant s'initier à la programmation en Python et peut convenir également aux élèves et aux enseignants dans le cadre de la spécialité ISN en terminale S.

Author: Pierre Bourdieu
Publisher: Stanford University Press
ISBN: 9780804733465
Category : Social Science
Languages : en
Pages : 510

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Book Description
Examining in detail the work of consecration carried out by elite education systems, Bourdieu analyzes the distinctive forms of power—political, intellectual, bureaucratic, and economic—by means of which contemporary societies are governed.

Author: Vivant Denon
Publisher: New York Review of Books
ISBN: 1590173260
Category : Fiction
Languages : en
Pages : 99

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Book Description
A Bilingual New York Review Books Original Vivant Denon's No Tomorrow is one of the masterpieces of eighteenth-century French libertine literature, a book to set beside Choderlos de Laclos' Les Liaisons dangereuses, except that where Laclos' icy novel tells of hellish depravity, Denon's ravishing novella is a paradisal diversion. This tale of seduction is itself a seduction, with a plot that could be said to slowly unveil itself before arriving at last at an unexpected consummation. Summoned by Madame de T—— to her country house, the young hero of Denon's novella is taken on a tour of the grounds, only the beginning of a night that not only will be full of unanticipated delights but will give rise to unforeseen, perhaps unanswerable, questions. Lydia Davis's definitive translation of Denon's slim masterpiece is accompanied by the French text. Peter Brooks's illuminating introduction explores the mysteries of No Tomorrow's original publication and the subtleties of Denon's ethics of pleasure.

Author: G. Cohen
Publisher: Elsevier
ISBN: 0080530079
Category : Mathematics
Languages : en
Pages : 565

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Book Description
The problems of constructing covering codes and of estimating their parameters are the main concern of this book. It provides a unified account of the most recent theory of covering codes and shows how a number of mathematical and engineering issues are related to covering problems.Scientists involved in discrete mathematics, combinatorics, computer science, information theory, geometry, algebra or number theory will find the book of particular significance. It is designed both as an introductory textbook for the beginner and as a reference book for the expert mathematician and engineer.A number of unsolved problems suitable for research projects are also discussed.

Author: OECD
Publisher: OECD Publishing
ISBN: 9264104119
Category :
Languages : en
Pages : 275

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Book Description
This handbook aims to facilitate a greater understanding of the OECD statistics and indicators produced and so allow for their more effective use in policy analysis.

Author: Electre
Publisher:
ISBN: 9782765408468
Category :
Languages : fr
Pages : 1798

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Book Description

Author: Maurice Herlihy
Publisher: Newnes
ISBN: 0124047289
Category : Computers
Languages : en
Pages : 335

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Book Description
Distributed Computing Through Combinatorial Topology describes techniques for analyzing distributed algorithms based on award winning combinatorial topology research. The authors present a solid theoretical foundation relevant to many real systems reliant on parallelism with unpredictable delays, such as multicore microprocessors, wireless networks, distributed systems, and Internet protocols. Today, a new student or researcher must assemble a collection of scattered conference publications, which are typically terse and commonly use different notations and terminologies. This book provides a self-contained explanation of the mathematics to readers with computer science backgrounds, as well as explaining computer science concepts to readers with backgrounds in applied mathematics. The first section presents mathematical notions and models, including message passing and shared-memory systems, failures, and timing models. The next section presents core concepts in two chapters each: first, proving a simple result that lends itself to examples and pictures that will build up readers' intuition; then generalizing the concept to prove a more sophisticated result. The overall result weaves together and develops the basic concepts of the field, presenting them in a gradual and intuitively appealing way. The book's final section discusses advanced topics typically found in a graduate-level course for those who wish to explore further. - Named a 2013 Notable Computer Book for Computing Methodologies by Computing Reviews - Gathers knowledge otherwise spread across research and conference papers using consistent notations and a standard approach to facilitate understanding - Presents unique insights applicable to multiple computing fields, including multicore microprocessors, wireless networks, distributed systems, and Internet protocols - Synthesizes and distills material into a simple, unified presentation with examples, illustrations, and exercises

Author: Marten Sørensen
Publisher: Bioversity International
ISBN: 9290432829
Category : Legumes
Languages : en
Pages : 143

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Book Description

Author: Patrick Bangert
Publisher: Gulf Professional Publishing
ISBN: 0128209143
Category : Science
Languages : en
Pages : 290

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Book Description
Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure. Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value. - Chart an overview of the techniques and tools of machine learning including all the non-technological aspects necessary to be successful - Gain practical understanding of machine learning used in oil and gas operations through contributed case studies - Learn change management skills that will help gain confidence in pursuing the technology - Understand the workflow of a full-scale project and where machine learning benefits (and where it does not)