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  • Wissenschaftspark Albert Einstein  (10)
  • Bibliothek im Kontor
  • Kreisbibliothek des Landkreises Spree-Neiße
  • GB Sperenberg
  • Computer Science  (10)
Type of Medium
Language
Region
  • 1
    UID:
    almafu_BV010983272
    Format: XIV, 468 S. : graph. Darst. , 1 Diskette (9 cm)
    ISBN: 0-387-94518-0
    Note: Bd. 1 u.d.T.: Economic and financial modeling with Mathematica. - Systemvoraussetzungen: files can be read on DOS/Windows, Macintosh, NeXT, and UNIX computers; Mathematica 2.2 or later is recommended for maximum use of the diskette files
    Language: English
    Subjects: Computer Science , Economics
    RVK:
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    Keywords: Ökonometrisches Modell ; Mathematica ; Finanzplanungsmodell ; Mathematica ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung ; Lehrbuch
    Author information: Varian, Hal R. 1947-
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  • 2
    UID:
    b3kat_BV044954729
    Format: x, 418 Seiten , Illustrationen
    Edition: First edition
    ISBN: 9780465097609 , 046509760X
    Content: "Everyone has heard the claim, "Correlation does not imply causation." What might sound like a reasonable dictum metastasized in the twentieth century into one of science's biggest obstacles, as a legion of researchers became unwilling to make the claim that one thing could cause another. Even two decades ago, asking a statistician a question like "Was it the aspirin that stopped my headache?" would have been like asking if he believed in voodoo, or at best a topic for conversation at a cocktail party rather than a legitimate target of scientific inquiry. Scientists were allowed to posit only that the probability that one thing was associated with another. This all changed with Judea Pearl, whose work on causality was not just a victory for common sense, but a revolution in the study of the world"...
    Note: Includes bibliographical references and index, Hier auch später erschienene, unveränderte Nachdrucke
    Additional Edition: Äquivalent
    Additional Edition: Erscheint auch als Online-Ausgabe, ebook ISBN 978-0-465-09761-6
    Language: English
    Subjects: Computer Science , Political Science , Mathematics
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    Keywords: Kausalität ; Korrelation ; Schlussfolgern ; Logik ; Kausalität
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  • 3
    Book
    Book
    Sebastopol, Calif. ; Köln [u.a.] : O'Reilly
    UID:
    b3kat_BV021638532
    Format: XVI, 600 S. , graph. Darst.
    Edition: 1. ed.
    ISBN: 0596006977
    Content: "C in a Nutshell is the book every C programmer will want nearby when writing code. C experts Peter Prinz and Tony Crawford have jammed in a wealth of ready-reference material that is clear and to the point. No wasted words here!" "Also included are chapters to cement your understanding of key concepts such as type conversion, dynamic memory management, working with pionters, and more. Need to look up a detail on GNU make or the GNU debugger? Those are covered too. Having information ready at your fingertips means fewer interruptions and improved flow. Peter and Tony have made this book a productivity tool for C programmers."--BOOK JACKET.
    Language: English
    Subjects: Computer Science
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    Keywords: C ; Verzeichnis
    Author information: Prinz, Peter
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  • 4
    Book
    Book
    Beijing [u.a.] :O'Reilly,
    UID:
    almafu_BV035501278
    Format: 491 S.
    ISBN: 978-0-596-52068-7
    Content: If you're a programmer, you've undoubtedly needed to search or manipulate text at some point. Regular expressions provide a flexible and concise means to complete most such tasks, but their power does not come without its problems. Addressing hundreds of tasks, this title covers many of the main programming languages.
    Language: German
    Subjects: Computer Science
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    Keywords: Regulärer Ausdruck ; Programmiersprache ; Regulärer Ausdruck
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  • 5
    Book
    Book
    Cambridge : Cambridge Univ. Press
    UID:
    b3kat_BV042395302
    Format: XI, 344 S. , graph. Darst. , 25 cm
    ISBN: 9781107087200 , 9781107452640
    Content: "Richard Bird is famed for the clarity and rigour of his writing. His new textbook, which introduces functional programming to students, emphasises fundamental techniques for reasoning mathematically about functional programs. By studying the underlying equational laws, the book enables students to apply calculational reasoning to their programs, both to understand their properties and to make them more efficient. The book has been designed to fit a first- or second-year undergraduate course and is a thorough overhaul and replacement of his earlier textbooks. It features case studies in Sudoku and pretty-printing, and over 100 carefully selected exercises with solutions. This engaging text will be welcomed by students and teachers alike"--
    Note: Hier auch später erschienene, unveränderte Nachdrucke
    Language: English
    Subjects: Computer Science
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    Keywords: Funktionale Programmierung ; HASKELL
    Author information: Bird, Richard 1943-
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  • 6
    UID:
    almafu_BV000968742
    Format: X, 281 S. : , graph. Darst.
    ISBN: 0-444-42098-3
    Series Statement: Developments in petrology 8
    Content: Developments in Petrology, Volume 8: Numerical Petrology: Statistical Interpretation of Geochemical Data presents the methods that are likely to be useful to the average petrologist. This book deals with the problems of closed data and singular matrices in multiple discriminant analysis and classification procedure. Organized into 12 chapters, this volume begins with an overview of the petrological data that can be quantified, including both discrete and continuous variables. This text then examines the methods of testing for differences between the means of two populations. Other chapters consider the three methods of evaluating linear trends within such bivatiate plots, namely, the use of the correlation coefficient, linear regression analysis, and either structural or functional relationships. This book discusses as well the propagation of errors in mineral and normative recalculations. The final chapter deals with the use of computers to manage the tremendous amount of information that is available. This book is a valuable resource for petrologists, geochemists, and geologists.
    Language: English
    Subjects: Computer Science
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    Keywords: Geochemie ; Statistik ; Gesteinskunde ; Statistik ; Mathematische Methode
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  • 7
    Book
    Book
    Boston : Addison-Wesley
    UID:
    gbv_376461713
    Format: XXVII, 1090 Seiten , Ill., graph. Darst. , 1 CD-ROM (12 cm) , 24 cm.
    Edition: 2. ed., 2. print. (with corr.)
    ISBN: 0201362996 , 9780201362992
    Series Statement: Addison-Wesley series on tools and techniques for computer typesetting
    Note: CD-ROM-Beil. u.d.T.: TLC2 Tex CD , Frühere Aufl. ersch. u.d.T.: Goossens, Michel: The LATEX companion. - Hier auch später erschienene, unveränderte Nachdrucke , Systemvoraussetzungen der CD-ROM-Beil.: Win32, Linux, or MacOSX. , Win32, Linux, or MacOSX.
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: LATEX ; LATEX
    Author information: Goossens, Michel 1951-
    Author information: Mittelbach, Frank
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  • 8
    UID:
    kobvindex_GFZ598351329
    Format: XXIV, 750 Seiten , Illustrationen
    Edition: third edition, corrected 2nd printing 2009
    ISBN: 3540739157 , 9783540739159 , 9783540739166 (electronic)
    Series Statement: Texts in computational science and engineering 3
    Note: Table of Contents 1 Introduction 1.1 Scripting versus Traditional Programming 1.1.1 Why Scripting is Useful in Computational Science 1.1.2 Classification of Programming Languages 1.1.3 Productive Pairs of Programming Languages 1.1.4 Gluing Existing Applications 1.1.5 Scripting Yields Shorter Code 1.1.6 Efficiency 1.1.7 Type-Specification (Declaration) of Variables 1.1.8 Flexible Function Interfaces 1.1.9 Interactive Computing 1.1.10 Creating Code at Run Time 1.1.11 Nested Heterogeneous Data Structures 1.1.12 GUI Programming 1.1.13 Mixed Language Programming 1.1.14 When to Choose a Dynamically Typed Language 1.1.15 Why Python? 1.1.16 Script or Program? 1.2 Preparations for Working with This Book 2 Getting Started with Python Scripting 2.1 A Scientific Hello World Script 2.1.1 Executing Python Scripts 2.1.2 Dissection of the Scientific Hello World Script 2.2 Working with Files and Data 2.2.1 Problem Specification 2.2.2 The Complete Code 2.2.3 Dissection 2.2.4 Working with Files in Memory 2.2.5 Array Computing 2.2.6 Interactive Computing and Debugging 2. 2.7 Efficiency Measurements 2.2.8 Exercises 2.3 Gluing Stand-Alone Applications 2.3.1 The Simulation Code 2.3.2 Using Gnuplot to Visualize Curves 2.3.3 Functionality of the Script 2.3.4 The Complete Code 2.3.5 Dissection 2.3.6 Exercises 2.4 Conducting Numerical Experiments 2.4.1 Wrapping a Loop Around Another Script 2.4.2 Generating an HTML Report 2.4.3 Making Animations 2.4.4 Varying Any Parameter 2.5 File Format Conversion 2.5.1 A Simple Read/Write Script 2.5.2 Storing Data in Dictionaries and Lists 2.5.3 Making a Module with Functions 2.5.4 Exercises 3 Basic Python 3.1 Introductory Topics 3.1.1 Recommended Python Documentation 3.1.2 Control Statements 3.1.3 Running Applications 3.1.4 File Reading and Writing 3.1.5 Output Formatting 3.2 Variables of Different Types 3.2.1 Boolean Types 3.2.2 The None Variable 3.2.3 Numbers and Numerical Expressions 3.2.4 Lists and Tuples 3.2.5 Dictionaries 3.2.6 Splitting and Joining Text 3.2.7 String Operations 3.2.8 Text Processing 3.2.9 The Basics of a Python Class 3.2.10 Copy and Assignment 3.2.11 Determining a Variable's Type 3.2.12 Exercises 3.3 Functions 3.3.1 Keyword Arguments 3.3.2 Doc Strings 3.3.3 Variable Number of Arguments 3.3.4 Call by Reference 3.3.5 Treatment of Input and Output Arguments 3.3.6 Function Objects 3.4 Working with Files and Directories 3.4.1 Listing Files in a Directory 3.4.2 Testing File Types 3.4.3 Removing Files and Directories 3.4.4 Copying and Renaming Files 3.4.5 Splitting Pathnames 3.4.6 Creating and Moving to Directories 3.4.7 Traversing Directory Trees 3.4.8 Exercises 4 Numerical Computing in Python 4.1 A Quick NumPy Primer 4.1.1 Creating Arrays 4.1.2 Array Indexing 4.1.3 Loops over Arrays 4.1.4 Array Computations 4.1.5 More Array Functionality 4.1.6 Type Testing 4.1.7 Matrix Objects 4.1.8 Exercises 4.2 Vectorized Algorithms 4.2.1 From Scalar to Array in Function Arguments 4.2.2 Slicing 4.2.3 Exercises 4.3 More Advanced Array Computing 4.3.1 Random Numbers 4.3.2 Linear Algebra 4.3.3 Plotting 4.3.4 Example: Curve Fitting 4.3.5 Arrays on Structured Grids 4.3.6 File I/O with NumPy Arrays 4.3.7 Functionality in the Numpyutils Module 4.3.8 Exercises 4.4 Other Tools for Numerical Computations 4.4.1 The ScientificPython Package 4.4.2 The SciPy Package 4.4.3 The Python- Matlab Interface 3 4.4.4 Symbolic Computing in Python 4.4.5 Some Useful Python Modules 5 Combining Python with Fortran, C, and C++ 5.1 About Mixed Language Programming 5.1.1 Applications of Mixed Language Programming 5.1.2 Calling C from Python 5.1.3 Automatic Generation of Wrapper Code 5.2 Scientific Hello World Examples 5.2.1 Combining Python and Fortran 5.2.2 Combining Python and C 5.2.3 Combining Python and C++ Functions 5.2.4 Combining Python and C++ Classes 5.2.5 Exercises 5.3 A Simple Computational Steering Example 5.3.1 Modified Time Loop for Repeated Simulations 5.3.2 Creating a P ython Interface 5.3.3 The Steering Python Script 5.3.4 Equipping the Steering Script with a GUI 5.4 Scripting Interfaces to Large Libraries 6 Introduction to GUI Programming 6.1 Scientific Hello World GUI 6.1.1 Introductory Topics 6.1.2 The First Python/Tkinter Encounter 6.1.3 Binding Events 6.1.4 Changing the Layout 6.1.5 The Final Scientific Hello World GUI 6.1.6 An Alternative to Tkinter Variables 6.1.7 About the Pack Command 6.1.8 An Introduction to the Grid Geometry Manager 6.1.9 Implementing a GUI as a Class 6.1.10 A Simple Graphical Function Evaluator 6.1.11 Exercises 6.2 Adding GUis to Scripts 6.2.1 A Simulation and Visualization Script with a GUI 6.2.2 Improving the Layout 6.2.3 Exercises 6.3 A List of Common Widget Operations 6.3.1 Frame 6.3.2 Label 6.3.3 Button 6.3.4 Text Entry 6.3.5 Balloon Help 6.3.6 Option Menu 6.3.7 Slider 6.3.8 Check Button 6.3.9 Making a Simple Megawidget 6.3.10 Menu Bar 6.3.11 List Data 6.3.12 Listbox 6.3.13 Radio Button 6.3.14 Combo Box 6.3.15 Message Box 6.3.16 User-Defined Dialogs 6.3.17 Color-Picker Dialogs 6.3.18 File Selection Dialogs 6.3.19 Toplevel 6.3.20 Some Other Types of Widgets 6.3.21 Adapting Widgets to the User's Resize Actions 6.3.22 Customizing Fonts and Colors 6.3.23 Widget Overview 6.3.24 Exercises 7 Web Interfaces and CGI Programming 7.1 Introductory CGI Scripts 7.1.1 Web Forms and CGI Scripts 7.1.2 Generating Forms in CGI Scripts 7.1.3 Debugging CGI Scripts 7.1.4 A General Shell Script Wrapper for CGI Scripts 7.1.5 Security Issues 7.2 Adding Web Interfaces to Scripts 7.2.1 A Class for Form Parameters 7.2.2 Calling Other Programs 7.2.3 Running Simulations 7.2.4 Getting a CGI Script to Work 7.2.5 Using Web Applications from Scripts 7.2.6 Exercises 8 Advanced Python 8.1 Miscellaneous Topics 8.1.1 Parsing Command-Line Arguments 8.1.2 Platform-Dependent Operations 8.1.3 Run-Time Generation of Code 8.1.4 Exercises 8.2 Regular Expressions and Text Processing 8.2.1 Motivation 8.2.2 Special Characters 8.2.3 Regular Expressions for Real Numbers 8.2.4 Using Groups to Extract Parts of a Text 8.2.5 Extracting Interval Limits 8.2.6 Extracting Multiple Matches 8.2.7 Splitting Text 8.2.8 Pattern-Matching Modifiers 8.2.9 Substitution and Backreferences 8.2.10 Example: Swapping Arguments in Function Calls 8.2.11 A General Substitution Script 8.2.12 Debugging Regular Expressions 8.2.13 Exercises 8.3 Tools for Handling Data in Files 8.3.1 Writing and Reading Python Data Structures 8.3.2 Pickling Objects 8.3.3 Shelving Objects 8.3.4 Writing and Reading Zip and Tar Archive Files 8.3.5 Downloading Internet Files 8.3.6 Binary Input/Output 8.3.7 Exercises 8.4 A Database for NumPy Arrays 8.4.1 The Structure of the Database 8.4.2 Pickling 8.4.3 Formatted ASCII Storage 8.4.4 Shelving 8.4.5 Comparing the Various Techniques 8.5 Scripts Involving Local and Remote Hosts 8.5.1 Secure Shell Commands 8.5.2 Distributed Simulation and Visualization 8.5.3 Client/Server Programming 8.5.4 Threads 8.6 Classes 8.6.1 Class Programming 8.6.2 Checking the Class Type 8.6.3 Private Data 8.6.4 Static Data 8.6.5 Special Attributes 8.6.6 Special Methods 8.6.7 Multiple Inheritance 8.6.8 Using a Class as a C-like Structure 8.6.9 Attribute Access via String Names 8.6.10 New-Style Classes 8.6.11 Implementing Get/Set Functions via Properties 8.6.12 Subclassing Built-in Types 8.6.13 Building Class Interfaces at Run Time 8.6.14 Building Flexible Class Interfaces 8.6.15 Exercises 8.7 Scope of Variables 8.7.1 Global, Local, and Class Variables 8.7.2 Nested Functions 8.7.3 Dictionaries of Variables in Namespaces 8.8 Exceptions 8.8.1 Handling Exceptions 8.8.2 Raising Exceptions 8.9 Iterators 8.9.1 Constructing an Iterator 8.9.2 A Pointwise Grid Iterator 8.9.3 A Vectorized Grid Iterator 8.9.4 Generators 8.
    In: Texts in computational science and engineering, 3
    Language: English
    Subjects: Computer Science
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    Keywords: Lehrbuch
    Author information: Langtangen, Hans Petter
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  • 9
    Online Resource
    Online Resource
    Princeton, N.J : Princeton University Press
    UID:
    kobvindex_GFZ686681231
    Format: XIX, 263 S. , Ill., graph. Darst. , 24 cm
    ISBN: 0691127026 (pbk.: acidfree paper) , 9780691127026 (pbk.: acidfree paper) , 0691130965 (acidfree paper) , 9780691130965 (acidfree paper)
    Series Statement: Princeton studies in complexity
    Content: This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a
    Note: Includes bibliographical references (p. [255]-260) and index
    Language: English
    Subjects: Computer Science , Psychology , Sociology
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  • 10
    Book
    Book
    Berkeley, CA : Apress
    UID:
    kobvindex_GFZ807012815
    Format: XXV, 426 Seiten , Illustrationen, Diagramme
    Edition: Second Edition
    ISBN: 9781484200766 , 9781484200773 (print)
    Content: Pro Git (Second Edition) is your fully-updated guide to Git and its usage in the modern world. Git has come a long way since it was first developed by Linus Torvalds for Linux kernel development. It has taken the open source world by storm since its inception in 2005, and this book teaches you how to use it like a pro. Effective and well-implemented version control is a necessity for successful web projects, whether large or small. With this book you’ll learn how to master the world of distributed version workflow, use the distributed features of Git to the full, and extend Git to meet your every need. Written by Git pros Scott Chacon and Ben Straub, Pro Git (Second Edition) builds on the hugely successful first edition, and is now fully updated for Git version 2.0, as well as including an indispensable chapter on GitHub. It’s the best book for all your Git needs
    Note: Contents: Getting Started ; Git Basics ; Git Branching ; Git on the Server ; Distributed Git ; Github ; Git Tools ; Customizing Git ; Git and Other Systems ; Git Internals ; Git in Other Environments ; Embedded Git in Your Applications ; Git Commands
    Language: English
    Subjects: Computer Science
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