Fundamentals of Neural Networks

	Author(s):	Laurene V. Fausett
	Collection:
	Publisher:	Prentice Hall
	Year:	1993
	Language:	English
	Pages:	469 pages
	Size:	3.14 MB
	Extension:	DJVU

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[content title="Description"]Providing detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptive-resonance theory; and more. For professionals working with neural networks.
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[content title="Content"] [/content]

[content title="About the author"]Laurene V. Fausett is an informatician. [/content]

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SAS : Genetics(TM) 9.1.3 User's Guide

	Author(s):	SAS Publishing
	Collection:
	Publisher:	SAS Publishing
	Year:	2005
	Language:	English
	Pages:	185 pages
	Size:	2.19 MB
	Extension:	PDF

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[content title="Description"]Describes the basics of using PROC SQL, including retrieving data from single and multiple tables; selecting specific data from tables; subsetting, ordering, and summarizing data; updating tables; combining tables to create new tables and useful reports; performing queries on database management system (DBMS) tables; using PROC SQL with the SAS macro facility; and debugging and optimizing PROC SQL code.
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[content title="Content"] [/content]

[content title="About the author"]SAS Institute Inc, whose name was formed from "Statistical Analysis System", is a software publisher specializing in business intelligence. The company was founded in 1976 by Anthony James Barr, James Goodnight, John Sall and Jane Helwig. [/content]

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Introduction to neural networks

	Author(s):	Kroese B., van der Smagt P.
	Collection:
	Publisher:	Springer
	Year:	1996
	Language:	English
	Pages:	135 pages
	Size:	1 MB
	Extension:	PDF

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[content title="Description"]This book deals with the most popular artificial neural network algorithm in the unsupervised-learning category, viz. the self-organizing map (SOM). As this book is the main monograph on the subject, it discusses all the relevant aspects ranging from the history, motivation, fundamentals, theory, variants, advances, and applications, to the hardware of the SOMs. An extensive literature survey of over 2000 contemporary studies is also included. Thus, answers to the most frequently asked questions relating to this topic can be found in this volume.
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[content title="Content"] [/content]

[content title="About the author"]Robert Kroese's sense of irony was honed growing up in Grand Rapids, Michigan - home of the Amway Corporation and the Gerald R. Ford Museum, and the first city in the United States to fluoridate its water supply. In second grade, he wrote his first novel, the saga of Captain Bill and his spaceship Thee Eagle [/content]

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Metaheuristics for Hard Optimization

	Author(s):	Johann Dréo, Alain Pétrowski, Patrick Siarry, Eric Taillard, A. Chatterjee
	Collection:
	Publisher:	Springer
	Year:	2005
	Language:	English
	Pages:	372 pages
	Size:	4.46 MB
	Extension:	PDF

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[content title="Description"]Metaheuristics for Hard Optimization comprises of three parts. The first part is devoted to the detailed presentation of the four most widely known metaheuristics: • the simulated annealing method, • tabu search, • the evolutionary algorithms, • ant colony algorithms. Each one of these metaheuristics is actually a family of methods, of which the essential elements are discussed. In the second part, the book presents some other less widespread metaheuristics, then, extensions of metaheuristics and some ways of research are described . The problem of the choice of a metaheuristic is posed and solution methods are discussed. The last part concentrates on three case studies from telecommunications, air traffic control, and vehicle routing. [/content]

[content title="Content"] [/content]

[content title="About the author"]Johann Dréo Ph.D. in Biomedical Engineering
Université Paris Val-de-Marne (Intelligent Systems lab.)
Bio-inspired Artificial Intelligence
[/content]

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Artificial neural networks technology. DACS report

	Author(s):	DARPA Neural Network Study (U.S.)
	Collection:
	Publisher:	Afcea Intl Pr
	Year:	1988
	Language:	English
	Pages:	87 pages
	Size:	367 KB
	Extension:	PDF

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[content title="Description"]This report is intended to help the reader understand what Artificial Neural Networks are, how to use them, and where they are currently being used. Artificial Neural Networks are being touted as the wave of the future in computing. They are indeed self learning mechanisms which don't require the traditional skills of a programmer. But unfortunately, misconceptions have arisen. Writers have hyped that these neuron-inspired processors can do almost anything. These exaggerations have created disappointments for some potential users who have tried, and failed, to solve their problems with neural networks. These application builders have often come to the conclusion that neural nets are complicated and confusing. [/content]

[content title="Content"] [/content]

[content title="About the author"]DARPA (1987-1988) Neural Network Study (U.S.). Published by AFCEA International Press, a Division of the Armed Forces Communications and Electronics Association 4406 Fair Lakes Court Fairfax Virginia 22033-3899 USA.

[/content]

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Linear Genetic Programming

	Author(s):	Brameier M., Banzhaf W.
	Collection:
	Publisher:	Springer
	Year:	2006
	Language:	English
	Pages:	322 pages
	Size:	2.39 MB
	Extension:	PDF

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[content title="Description"]Linear Genetic Programming examines the evolution of imperative computer programs written as linear sequences of instructions. In contrast to functional expressions or syntax trees used in traditional Genetic Programming (GP), Linear Genetic Programming (LGP) employs a linear program structure as genetic material whose primary characteristics are exploited to achieve acceleration of both execution time and evolutionary progress. Online analysis and optimization of program code lead to more efficient techniques and contribute to a better understanding of the method and its parameters. In particular, the reduction of structural variation step size and non-effective variations play a key role in finding higher quality and less complex solutions. This volume investigates typical GP phenomena such as non-effective code, neutral variations and code growth from the perspective of LGP.The text is divided into three parts, each of which details methodologies and illustrates applications. Part I introduces basic concepts of LGP and presents efficient algorithms for analyzing and optimizing linear genetic programs during runtime. Part II explores the design of efficient LGP methods and genetic operators inspired by the results achieved in Part I. Part III investigates more advanced techniques and phenomena, including effective step size control, diversity control, code growth, and neutral variations. The book provides a solid introduction to the field of LGP, as well as a more detailed, comprehensive examination of its principles and techniques. Researchers and students alike are certain to regard this text as an indispensable resource.
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[content title="Content"] [/content]

[content title="About the author"]Wolfgang Banzhaf is Honorary Research Professor (ret.) in the Department of Computer Science of Memorial University of Newfoundland. Previously he was a professor there and served as head of department there from 2003 to 2009 and again from 2012 to 2016. In 2016 he was appointed the John R. Koza Endowed Chair in Genetic Programming at Michigan State University, East Lansing, MI, USA, and holds this position since then.

Prof. Banzhaf received a "Diplom in Physik" degree in Physics (equivalent to a M.Sc.) from the Ludwig-Maximilians-University in Munich. He received his Dr.rer.nat (PhD) from the Department of Physics of the Technische Hochschule Karlsruhe, now Karlsruhe Institute of Technology (KIT). Prof. Banzhaf was postdoctoral research associate at the 1. Institute of Theoretical Physics of the University of Stuttgart, Visiting and Senior Researcher at the Central Research Lab, now the Advanced Technology R&D Center of Mitsubishi Electric Corporation in Japan and at Mitsubishi Electric Research Labs (MERL) in Cambridge, MA, USA. From 1993 to 2003 he was Associate Professor for Applied Computer Science in the Department of Computer Science of the Technical University of Dortmund.
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New directions in statistical signal processing : From systems to brains

	Author(s):	Simon Haykin, Josà C. PrÃ_ncipe, Terrence J. Sejnowski, John McWhirter
	Collection:	Neural Information Processing
	Publisher:	The MIT Press
	Year:	2006
	Language:	English
	Pages:	525 pages
	Size:	4.08 MB
	Extension:	PDF

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[content title="Description"]Signal processing and neural computation have separately and significantly influenced many disciplines, but the cross-fertilization of the two fields has begun only recently. Research now shows that each has much to teach the other, as we see highly sophisticated kinds of signal processing and elaborate hierachical levels of neural computation performed side by side in the brain. In New Directions in Statistical Signal Processing , leading researchers from both signal processing and neural computation present new work that aims to promote interaction between the two disciplines. The book's 14 chapters, almost evenly divided between signal processing and neural computation, begin with the brain and move on to communication, signal processing, and learning systems. They examine such topics as how computational models help us understand the brain's information processing, how an intelligent machine could solve the "cocktail party problem" with "active audition" in a noisy environment, graphical and network structure modeling approaches, uncertainty in network communications, the geometric approach to blind signal processing, game-theoretic learning algorithms, and observable operator models (OOMs) as an alternative to hidden Markov models (HMMs). [/content]

[content title="Content"] [/content]

[content title="About the author"]Simon Haykin is Professor of Electrical Engineering; noted for his pioneering work in Adaptive Signal Processing with emphasis on applications to Radar Engineering and Telecom Technology. He is currently Distinguished University Professor at McMaster University in Hamilton, Ontario, Canada.Terrence Joseph Sejnowski (born 13 August 1947) is the Francis Crick Professor at the Salk Institute for Biological Studies where he directs the Computational Neurobiology Laboratory and is the director of the Crick-Jacobs center for theoretical and computational biology. He has performed pioneering research in neural networks and computational neuroscience. [/content]

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Artificial Neural Networks : An Introduction to ANN Theory and Practice

	Author(s):	P. J. Braspenning, F. Thuijsman, A. J. M. M. Weijters
	Collection:	Lecture Notes in Computer Science 931
	Publisher:	Springer-Verlag Berlin Heidelberg
	Year:	1995
	Language:	English
	Pages:	299 pages
	Size:	2.28 MB
	Extension:	DJVU

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[content title="Description"]This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the University of Limburg in Maastricht, Belgium.
The major ANN architectures are discussed to show their powerful possibilities for empirical data analysis, particularly in situations where other methods seem to fail. Theoretical insight is offered by examining the underlying mathematical principles in a detailed, yet clear and illuminating way. Practical experience is provided by discussing several real-world applications in such areas as control, optimization, pattern recognition, software engineering, robotics, operations research, and CAM. [/content]

[content title="Content"] [/content]

[content title="About the author"]F. Thuijsman
Full Professor Strategic Optimization and Data Science
Member Management Team of the Department of Advanced Computing Sciences (formerly known as Data Science and Knowledge Engineering, DKE)
Member Management Team of Regitel
Initiator and coordinator of KnowledgeEngineering@Work: Started 2014, this is a unique honors programme in which the very best BSc students in Knowledge.. [/content]

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Advances in Cryptology : EUROCRYPT ’95 International Conference on the

	Author(s):	C. P. Schnorr, H. H. Hörner , Louis C. Guillou, Jean-Jacques Quisquater
	Collection:	Lecture Notes in Computer Science 921
	Publisher:	Springer-Verlag Berlin Heidelberg
	Year:	1995
	Language:	English
	Pages:	427 pages
	Size:	4.06 MB
	Extension:	DJVU

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[content title="Description"]This volume constitutes the proceedings of EUROCRYPT '95, the 1995 International Workshop on the Theory and Application of Cryptographic Techniques, held in Saint-Malo, France in May 1995 under the sponsorship of the International Association for Cryptologic Research (IACR). The volume contains revised versions of the 33 papers selected from a total of 113 submissions which address aspects of cryptologic research and advanced applications. Sections discussed include: cryptanalysis; signatures; computational number theory; cryptographic protocols; secret sharing; electronic cash; shift registers and Boolean functions; authentication codes; new schemes; complexity aspects; and implementation aspects.
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[content title="Content"] [/content]

[content title="About the author"]He received his Ph.D. from the University of Saarbrücken in 1966, and his habilitation in 1970. Schnorr's contributions to cryptography include his study of Schnorr groups, which are used in the digital signature algorithm bearing his name. Besides this, Schnorr is known for his contributions to algorithmic information theory and for creating an approach to the definition of an algorithmically random sequence which is alternative to the concept of Martin-Löf randomness.

Schnorr was a professor of mathematics and computer science at the Johann Wolfgang Goethe University at Frankfurt. He retired in 2011 after working there for 40 years. He is also a Distinguished Associate of RSA Laboratories, and a joint recipient of the Gottfried Wilhelm Leibniz Prize together with Johannes Buchmann in 1993. He received, with Jean-Jacques Quisquater, the RSA Award for Excellence in Mathematics in 2013.

Schnorr held a patent on Schnorr signatures until 2008. [/content]

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Principles of Artificial Neural Networks : WS

	Author(s):	Daniel Graupe
	Collection:	Advanced Series in Circuits and Systems, Vol 3
	Publisher:	World Scientific Publishing Company
	Year:	1997
	Language:	English
	Pages:	252 pages
	Size:	1.83 MB
	Extension:	DJVU

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[content title="Description"]This textbook is intended for a first-year graduate course on Artificial Neural Networks. It assumes no prior background in the subject and is directed to MS students in electrical engineering, computer science and related fields, with background in at least one programming language or in a programming tool such as Matlab, and who have taken the basic undergraduate classes in systems or in signal processing. The uniqueness of the book is in the breadth of its coverage over the range of all major artificial neural network approaches and in extensive hands-on case-studies on each and every neural network considered. These detailed case studies include complete program print-outs and results and deal with a range of problems, to illustrate the reader's ability to solve problems ranging from speech recognition, character recognition to control and signal processing problems, all on the basis of following the present text. [/content]

[content title="Content"] [/content]

[content title="About the author"]Daniel Graupe (M'71–SM'83–F'85) received the B.S.M.E., B.S.E.E., and Dipl. Eng. in electrical engineering degrees from the Technion, Israel Institute of Technology, and the Ph.D. degree in electrical engineering from the University of Liverpool, Liverpool. U.K.,He is currently a Professor of electrical engineering and computer science, Professor of bioengineering, and Adjunct Professor of physical medical and rehabilitation at the University of Illinois at Chicago. [/content]

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Principles of artificial neural networks

	Author(s):	Daniel Graupe
	Collection:	Advanced series on circuits and systems 6
	Publisher:	World Scientific
	Year:	2007
	Language:	English
	Pages:	320 pages
	Size:	3.47 MB
	Extension:	PDF

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[content title="Description"]The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural network approaches and architectures with the theories, this text presents detailed case studies for each of the approaches, accompanied with complete computer codes and the corresponding computed results. The case studies are designed to allow easy comparison of network performance to illustrate strengths and weaknesses of the different networks. [/content]

[content title="Content"] [/content]

[content title="About the author"]Daniel Graupe (M'71–SM'83–F'85) received the B.S.M.E., B.S.E.E., and Dipl. Eng. in electrical engineering degrees from the Technion, Israel Institute of Technology, and the Ph.D. degree in electrical engineering from the University of Liverpool, Liverpool. U.K.,He is currently a Professor of electrical engineering and computer science, Professor of bioengineering, and Adjunct Professor of physical medical and rehabilitation at the University of Illinois at Chicago. [/content]

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Elements of artificial neural networks

	Author(s):	Kishan Mehrotra, Chilukuri K. Mohan, Sanjay Ranka
	Collection:	Complex adaptive systems
	Publisher:	MIT Press
	Year:	1997
	Language:	English
	Pages:	345 pages
	Size:	1.40 MB
	Extension:	PDF

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[content title="Description"]This most readable book gives a clear, up-to-date and concise introduction to artificial neural networks. It covers all the major network models and provides insightful information on their applications. I thoroughly recommend it to senior undergraduates, first-year graduate students and practising engineers seeking an accessible lead-in to this fast expanding field.
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[content title="Content"] [/content]

[content title="About the author"]Kishan Lal Mehrotra is on the board of Facor Alloys Ltd.

In the past he held the position of Chairman & Managing Director at MOIL Ltd.

He received an undergraduate degree from Banaras Hindu University.Chilukuri K. Mohan (M’98–SM’09) received the B.Tech. degree in computer science from IIT Kanpur, Kanpur, in 1983, and the Ph.D. degree in computer science from the State University of New York, Stony Brook, in 1988. He served as the Department Chair from 2009 to 2014, and the Interim Dean in 2015 with Syracuse University, where he is currently a Professor with the Department of Electrical Engineering and Computer Science. Since 1988, he has been teaching with Syracuse University. He has co-authored the book Elements of Artificial Neural Networks (MIT Press, 1997), and authored the book Frontiers of Expert Systems: Reasoning With Limited Knowledge (Kluwer, 2000). [/content]

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Genetic Programming Theory and Practice VI.

	Author(s):	Terence Soule, Rick L. Riolo, Bill Worzel
	Collection:	Genetic and Evolutionary Computation
	Publisher:	Springer US
	Year:	2009
	Language:	English
	Pages:	281 pages
	Size:	4.46 MB
	Extension:	PDF

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[content title="Description"]Genetic Programming Theory and Practice VI was developed from the sixth workshop at the University of Michigan's Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP).

Contributions from the foremost international researchers and practitioners in the GP arena examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application.

These contributions address several significant inter-dependent themes which emerged from this year's workshop, including: [/content]

[content title="Content"] [/content]

[content title="About the author"]Terence Soule
Professor, Chair, Computer Science Department, University of Idaho. Rick Riolo, who for decades taught students the art and science of agent-based modeling, passed away on August 25 surrounded by his family after a long illness. Born on September 4, 1950, Rick served as a Research Scientist and Research Professor at the University of Michigan’s Center for the Study of Complex Systems. He was one of the most visible and influential researchers, mentors, and instructors in the interdisciplinary field of complex adaptive systems. [/content]

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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series

	Author(s):	Estela Bee Dagum, Pierre A. Cholette
	Collection:	Lecture Notes in Statistics 186
	Publisher:	Springer-Verlag New York
	Year:	2006
	Language:	English
	Pages:	417 pages
	Size:	2.97 MB
	Extension:	DJVU

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[content title="Description"]In modern economies, time series play a crucial role at all levels of activity. They are used by decision makers to plan for a better future, by governments to promote prosperity, by central banks to control inflation, by unions to bargain for higher wages, by hospital, school boards, manufacturers, builders, transportation companies, and by consumers in general.

A common misconception is that time series data originate from the direct and straightforward compilations of survey data, censuses, and administrative records. On the contrary, before publication time series are subject to statistical adjustments intended to facilitate analysis, increase efficiency, reduce bias, replace missing values, [/content]

[content title="Content"] [/content]

[content title="About the author"]Estela ( Estelle ) Bee Dagum is an Argentinian-Canadian economist and statistician who is a "chiara fama" professor of statistical sciences at the University of Bologna . She is known for her research in time series analysis , and in particular the development of the seasonal adjustment method X-11-ARIMA, which was widely used and predated the X-12-ARIMA and later. [/content]

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Data Mining In Time Series Databases

	Author(s):	Mark Last, Abraham Kandel, Horst Bunke
	Collection:	Series in machine perception and artificial intelligence v.57
	Publisher:	World Scientific
	Year:	2004
	Language:	English
	Pages:	205 pages
	Size:	3.06 MB
	Extension:	PDF

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[content title="Description"]Adding the time dimension to real-world databases produces TimeSeries Databases (TSDB) and introduces new aspects and difficultiesto data mining and knowledge discovery. This book covers thestate-of-the-art methodology for mining time series databases. Thenovel data mining methods presented in the book include techniquesfor efficient segmentation, indexing, and classification of noisy anddynamic time series. A graph-based method for anomaly detection intime series is described and the book also studies the implicationsof a novel and potentially useful representation of time series asstrings. The problem of detecting changes in data mining models thatare induced from temporal databases is additionally discussed.
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[content title="Content"] [/content]

[content title="About the author"]Abraham Kandel is a academic researcher from University of South Florida. The author has contributed to research in topic(s): Fuzzy logic & Fuzzy set operations. The author has an hindex of 48, co-authored 335 publication(s) receiving 10490 citation(s). Previous affiliations of Abraham Kandel include Tel Aviv University & Florida State University. [/content]

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All of Nonparametric Statistics

	Author(s):	Larry Wasserman
	Collection:	Springer texts in statistics
	Publisher:	Springer
	Year:	2006
	Language:	English
	Pages:	272 pages
	Size:	2.18 MB
	Extension:	PDF

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[content title="Description"]The goal of this text is to provide the reader with a single book where they can find a brief account of many, modern topics in nonparametric inference. The book is aimed at Master's level or Ph.D. level students in statistics, computer science, and engineering. It is also suitable for researchers who want to get up to speed quickly on modern nonparametric methods.

This text covers a wide range of topics including: the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. The book has a mixture of methods and theory. [/content]

[content title="Content"] [/content]

[content title="About the author"]Larry Wasserman is a statistician known for his work on high dimensional inference, nonparametric inference, machine learning, topological data analysis and astrostatistics. Much of his work has been devoted to providing statistical foundations for algorithms in machine learning. Wasserman was born in Windsor, Ontario.
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The boundary element method in acoustics

	Author(s):	Stephen Kirkup
	Collection:	Integral Equation Methods in Engineering
	Publisher:	Integrated Sound Software
	Year:	1998
	Language:	English
	Pages:	161 pages
	Size:	2.08 MB
	Extension:	PDF

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[content title="Description"]The boundary element method (BEM) in the context of acoustics or Helmholtz problems is reviewed in this paper. The basis of the BEM is initially developed for Laplace’s equation. The boundary integral equation formulations for the standard interior and exterior acoustic problems are stated and the boundary element methods are derived through collocation. It is shown how interior modal analysis can be carried out via the boundary element method. Further extensions in the BEM in acoustics are also reviewed, including half-space problems and modelling the acoustic field surrounding thin screens. Current research in linking the boundary element method to other methods in order to solve coupled vibro-acoustic and aero-acoustic problems and methods for solving inverse problems via the BEM are surveyed. Applications of the BEM in each area of acoustics are referenced. The computational complexity of the problem is considered and methods for improving its general efficiency are reviewed. The significant maintenance issues of the standard exterior acoustic solution are considered, in particular the weighting parameter in combined formulations such as Burton and Miller’s equation. The commonality of the integral operators across formulations and hence the potential for development of a software library approach is emphasised. [/content]

[content title="Content"] [/content]

[content title="About the author"]Stephen Kirkup is a programmer. [/content]

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Perception-based data processing in acoustics : applications to music information retrieval and psychophysiology of hearing

	Author(s):	Bozena Kostek
	Collection:	Studies in Computational Intelligence
	Publisher:	Springer
	Year:	2005
	Language:	English
	Pages:	432 pages
	Size:	4.24 MB
	Extension:	PDF

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[content title="Description"]This monograph provides novel insights into cognitive mechanisms underlying the processing of sound and music in different environments. A solid understanding of these mechanisms is vital for numerous technological applications such as for example information retrieval from distributed musical databases or building expert systems. In order to investigate the cognitive mechanisms of music perception fundamentals of hearing psychophysiology and principles of music perception are presented. In addition, some computational intelligence methods are reviewed, such as rough sets, fuzzy logic, artificial neural networks, decision trees and genetic algorithms. The applications of hybrid decision systems to problem solving in music and acoustics are exemplified and discussed on the basis of obtained experimental results.
[/content]

[content title="Content"] [/content]

[content title="About the author"]Polish professor of technical sciences, specialist in sound engineering
In more languages
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Apprendre a programmer avec Python.. Avec plus de 40 pages de corriges d'exercices

	Auteur(s):	Swinnen G.
	Collection:
	Editeur:	Eyrolles
	Année:	2009
	Langue:	Français
	Pages:	361 pages
	Taille:	3.19 MB
	Extension:	PDF

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[content title="Description"]Un livre incontournable pour acquérir l'exigeante discipline qu'est l'art de la programmation !
Original et stimulant, cet ouvrage aborde au travers d'exemples attrayants et concrets tous les fondamentaux de la programmation. L'auteur a choisi Python, langage moderne et élégant, aussi performant pour le développement d'applications web complexes que pour la réalisation de scripts système ou l'analyse de fichiers XML.

Un support de cours réputé et adopté par de nombreux enseignants, avec 60 pages d'exercices corrigés [/content]

[content title="Sommaire"] [/content]

[content title="Auteur(s) de l'ouvrage"] De formation scientifique, Gérard Swinnen a enseigné la physique, la chimie et la biologie, et développé une série de logiciels pour la simulation expérimentale et l'évaluation scolaire. Sollicité pour mettre en oeuvre une filière d'enseignement secondaire centrée sur l'apprentissage de l'informatique, il a accepté de construire un cours de programmation spécifiquement adapté à ce public. "Ce que j'affirme, c'est que l'apprentissage de la programmation a sa place dans la formation générale des jeunes, car c'est une extraordinaire école de logique, de rigueur, et même de courage."[/content]

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Télécharger (pdf, 3.19 MB)

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Mots-Clés: Télécharger Apprendre a  programmer avec Python.. Avec plus de 40 pages de corriges d'exercices EBOOK PDF EPUB DJVU. Download Apprendre a  programmer avec Python.. Avec plus de 40 pages de corriges d'exercices EBOOK PDF EPUB DJVU.

Programmation Python

	Auteur(s):	Tarek Ziade
	Collection:
	Editeur:	Eyrolles
	Année:	2009
	Langue:	Français
	Pages:	594 pages
	Taille:	2.79 MB
	Extension:	PDF

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[content title="Description"]Choisi par Google comme l'un de ses langages piliers et utilisé dans des projets d'envergure tels que YouTube, Python est omniprésent dans les applications web modernes. Open Source et portable, sa modularité et son orientation objet permettent de créer des applications de toutes tailles, génériques et maintenables.

Python : de la syntaxe à l'optimisation
Python est tout indiqué pour le développement d'applications web : serveurs de contenu, moteurs de recherche, agents intelligents, objets distribués... Il est également performant pour réaliser des scripts d'administration système ou d'analyse de fichiers textuels, pour gérer l'accès à des bases de données, pour servir de langage glu entre plusieurs applications, réaliser des applications graphiques classiques, etc. [/content]

[content title="Sommaire"] [/content]

[content title="Auteur(s) de l'ouvrage"] Tarek Ziadé est directeur technique d'Ingeniweb (AlterWay), leader de la gestion de contenu Open Source. Il intervient dans des conférences nationales et internationales et a fondé l'association afpy.org. Il contribue non seulement au développement de Python mais également à d'autres projets communautaires.[/content]

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Télécharger (pdf, 2.79 MB)

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Mots-Clés: Télécharger Programmation Python EBOOK PDF EPUB DJVU. Download Programmation Python EBOOK PDF EPUB DJVU.