AutoCAD 2006 VBA / Sutphin, Joe (2005)

Public ISBD Titre : AutoCAD 2006 VBA : a programmer’s reference Type de document : document électronique Auteurs : Sutphin, Joe, Auteur Editeur : New York : Apress Année de publication : 2005 ISBN/ISSN/EAN : 978-1-4302-0069-7 Note générale : Configuration requise : Adobe acrobat Langues : Anglais (eng) Mots-clés : Computer science Software Engineering/Programming and Operating Systems Programming Techniques and Programming Languages Résumé : This book is for any programmer who wants to take full advantage of the VBA (Visual Basic for Applications) programming environment within AutoCAD 2006.Whether you want to automate routine tasks, create sophisticated applications — or design that are generated programmatically — this book will give you all of the information necessary to start making AutoCAD work for you. AutoCAD is one of the best selling CAD software applications in the world, and includes Microsoft's VBA language, which allows you to control your programming environment. This book will teach you to run Autodesk design tasks in the embedded VBA environment. This book is also for power users who want to take advantage of the advanced features of AutoCAD 2006 VBA and who need a fast reference to the full AutoCAD object model. Loaded with source code examples, this book gives experienced and beginning developers the necessary tools to accomplish their AutoCAD 2006 automation tasks. AutoCAD 2006 VBA : a programmer’s reference [document électronique] / Sutphin, Joe, Auteur . - New York : Apress, 2005. ISBN : 978-1-4302-0069-7 Configuration requise : Adobe acrobat Langues : Anglais (eng) Mots-clés : Computer science Software Engineering/Programming and Operating Systems Programming Techniques and Programming Languages Résumé : This book is for any programmer who wants to take full advantage of the VBA (Visual Basic for Applications) programming environment within AutoCAD 2006.Whether you want to automate routine tasks, create sophisticated applications — or design that are generated programmatically — this book will give you all of the information necessary to start making AutoCAD work for you. AutoCAD is one of the best selling CAD software applications in the world, and includes Microsoft's VBA language, which allows you to control your programming environment. This book will teach you to run Autodesk design tasks in the embedded VBA environment. This book is also for power users who want to take advantage of the advanced features of AutoCAD 2006 VBA and who need a fast reference to the full AutoCAD object model. Loaded with source code examples, this book gives experienced and beginning developers the necessary tools to accomplish their AutoCAD 2006 automation tasks.

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E00195	681.3 SUT	Ressources électroniques	Bibliothèque Centrale	Informatique	Disponible

Cryptography in C and C++ / Welschenbach , Michael ; Kramer , David (2001)

Public ISBD Titre : Cryptography in C and C++ Type de document : texte imprimé Auteurs : Welschenbach , Michael, Auteur ; Kramer , David, Traducteur Editeur : New York : Apress Année de publication : 2001 Collection : Books for professionals by professionals. Importance : VIII-432 P. Présentation : ill Format : 24 cm ISBN/ISSN/EAN : 978-1-893115-95-8 Note générale : Bibliogr. p. 421-425. Index Langues : Français (fre) Mots-clés : C (langage de programmation) -- Sécurité C plus-plus (langage de programmation) -- Sécurité Cryptographie Index. décimale : 681.3.053 Problèmes de la conversion,du codage et du décodage. Résumé : This detailed treatment of public key cryptography explains the theory of cryptography methods, and features a step-by-step development of a program package for arithmetic and cryptography. The CD-ROM contains programs presented in the book plus x86 assembler programs for key pieces, implementations of the new Rijndael Advanced Encryption Standard algorithm in both C and C++, and more Note de contenu : I Arithmetic and Number Theory in C. - Number Formats: The Representation of Large Numbers in C. - Interface Semantics. - The Fundamental Operations. - Modular Arithmetic: Calculating with Residue Classes. - Where All Roads Meet: Modular Exponentiation. - Bitwise and Logical Functions. - Input, Output, Assignment, Conversion. - Dynamic Registers. - Basic Number-Theoretic Functions. - Large Random Numbers. - Strategies for Testing LINT II. Arithmetic in C++ with the Class LINT. - Let C++ Simplify Your Life. - The LINT Public Interface: Members and Friends. - Error Handling. - An Application Example: The RSA Cryptosystem. - Do It Yourself: Test LINT. - Approaches for Further Extensions - Rijndael: A Successor to the Data Encryption Standard -- Cryptography in C and C++ [texte imprimé] / Welschenbach , Michael, Auteur ; Kramer , David, Traducteur . - New York : Apress, 2001 . - VIII-432 P. : ill ; 24 cm. - (Books for professionals by professionals.) . ISBN : 978-1-893115-95-8 Bibliogr. p. 421-425. Index Langues : Français (fre) Mots-clés : C (langage de programmation) -- Sécurité C plus-plus (langage de programmation) -- Sécurité Cryptographie Index. décimale : 681.3.053 Problèmes de la conversion,du codage et du décodage. Résumé : This detailed treatment of public key cryptography explains the theory of cryptography methods, and features a step-by-step development of a program package for arithmetic and cryptography. The CD-ROM contains programs presented in the book plus x86 assembler programs for key pieces, implementations of the new Rijndael Advanced Encryption Standard algorithm in both C and C++, and more Note de contenu : I Arithmetic and Number Theory in C. - Number Formats: The Representation of Large Numbers in C. - Interface Semantics. - The Fundamental Operations. - Modular Arithmetic: Calculating with Residue Classes. - Where All Roads Meet: Modular Exponentiation. - Bitwise and Logical Functions. - Input, Output, Assignment, Conversion. - Dynamic Registers. - Basic Number-Theoretic Functions. - Large Random Numbers. - Strategies for Testing LINT II. Arithmetic in C++ with the Class LINT. - Let C++ Simplify Your Life. - The LINT Public Interface: Members and Friends. - Error Handling. - An Application Example: The RSA Cryptosystem. - Do It Yourself: Test LINT. - Approaches for Further Extensions - Rijndael: A Successor to the Data Encryption Standard --

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Machine learning on geographical data using Python / Joos Korstanje (2023)

Public ISBD Titre : Machine learning on geographical data using Python : introduction into geodata with applications and use cases Type de document : texte imprimé Auteurs : Joos Korstanje, Auteur Editeur : New York : Apress Année de publication : 2023 Importance : XV, 312 p. Présentation : ill. Format : 25 cm ISBN/ISSN/EAN : 978-1-4842-8286-1 Note générale : Index Langues : Anglais (eng) Mots-clés : Geodatabases Machine learning Python (Computer program language) Index. décimale : 004.89 Systèmes d'application d'intelligence artificielle. Systèmes basés sur la connaissance intelligente. Résumé : Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python. This book starts with an introduction to geodata and covers topics such as GIS and common tools, standard formats of geographical data, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from coordinate systems and map projections to different geodata formats and types such as points, lines, polygons, and rasters. Analytics operations typically applied to geodata are explained such as clipping, intersecting, buffering, merging, dissolving, and erasing, with implementations in Python. Use cases and examples are included. The book also focuses on applying more advanced machine learning approaches to geographical data and presents interpolation, classification, regression, and clustering via examples and use cases. This book is your go-to resource for machine learning on geodata. It presents the basics of working with spatial data and advanced applications. Examples are presented using code (accessible at github.com/Apress/machine-learning-geographic-data-python) and facilitate learning by application. Note de contenu : Summary : Part I: General introduction Chapter 1: Introduction to Geodata Chapter 2: Coordinate Systems and Projections Chapter 3: Geodata Data Types Chapter 4: Creating Maps Part II: GIS operations Chapter 5: Clipping and Intersecting Chapter 6: Buffering Chapter 7: Merge and Dissolve Chapter 8: Erase Part III: Machine Learning and mathematics Chapter 9: Interpolation Chapter 10: Classification Chapter 11: Regression Chapter 12: Clustering Chapter 13: Conclusion Machine learning on geographical data using Python : introduction into geodata with applications and use cases [texte imprimé] / Joos Korstanje, Auteur . - New York : Apress, 2023 . - XV, 312 p. : ill. ; 25 cm. ISBN : 978-1-4842-8286-1 Index Langues : Anglais (eng) Mots-clés : Geodatabases Machine learning Python (Computer program language) Index. décimale : 004.89 Systèmes d'application d'intelligence artificielle. Systèmes basés sur la connaissance intelligente. Résumé : Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python. This book starts with an introduction to geodata and covers topics such as GIS and common tools, standard formats of geographical data, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from coordinate systems and map projections to different geodata formats and types such as points, lines, polygons, and rasters. Analytics operations typically applied to geodata are explained such as clipping, intersecting, buffering, merging, dissolving, and erasing, with implementations in Python. Use cases and examples are included. The book also focuses on applying more advanced machine learning approaches to geographical data and presents interpolation, classification, regression, and clustering via examples and use cases. This book is your go-to resource for machine learning on geodata. It presents the basics of working with spatial data and advanced applications. Examples are presented using code (accessible at github.com/Apress/machine-learning-geographic-data-python) and facilitate learning by application. Note de contenu : Summary : Part I: General introduction Chapter 1: Introduction to Geodata Chapter 2: Coordinate Systems and Projections Chapter 3: Geodata Data Types Chapter 4: Creating Maps Part II: GIS operations Chapter 5: Clipping and Intersecting Chapter 6: Buffering Chapter 7: Merge and Dissolve Chapter 8: Erase Part III: Machine Learning and mathematics Chapter 9: Interpolation Chapter 10: Classification Chapter 11: Regression Chapter 12: Clustering Chapter 13: Conclusion

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PHP solutions / Powers, David (2007)

Public ISBD Titre : PHP solutions : dynamic web design made easy Type de document : document électronique Auteurs : Powers, David, Auteur Editeur : New York : Apress Année de publication : 2007 ISBN/ISSN/EAN : 978-1-4302-0275-2 Note générale : Configuration requise : Adobe acrobat Langues : Anglais (eng) Mots-clés : Computer Science and Programming Techniques Index. décimale : 681.3.06 Logiciels. Software Résumé : Using a friendly, accessible and visual learning style, this book takes the reader through the details of setting up their development environment and PHP code basics as painlessly as possible, and shows how to wire together several real world PHP projects. The PHP code offered here generates semantically-sound markup, which is then attractively styled using CSS. The book is up-to-date with the latest versions of PHP (6) and MySQL (5) but is written to be compatible with older versions that readers might find on their hosting servers. Unlike other references, This book teaches security right from the start. PHP solutions : dynamic web design made easy [document électronique] / Powers, David, Auteur . - New York : Apress, 2007. ISBN : 978-1-4302-0275-2 Configuration requise : Adobe acrobat Langues : Anglais (eng) Mots-clés : Computer Science and Programming Techniques Index. décimale : 681.3.06 Logiciels. Software Résumé : Using a friendly, accessible and visual learning style, this book takes the reader through the details of setting up their development environment and PHP code basics as painlessly as possible, and shows how to wire together several real world PHP projects. The PHP code offered here generates semantically-sound markup, which is then attractively styled using CSS. The book is up-to-date with the latest versions of PHP (6) and MySQL (5) but is written to be compatible with older versions that readers might find on their hosting servers. Unlike other references, This book teaches security right from the start.

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E00197	681.3.06 POW	Ressources électroniques	Bibliothèque Centrale	Informatique	Disponible

R 4 data science quick reference / Thomas Mailund (2022)

Public ISBD Titre : R 4 data science quick reference : a pocket guide to APIs, libraries, and packages Type de document : texte imprimé Auteurs : Thomas Mailund, Auteur Mention d'édition : Second edition Editeur : New York : Apress Année de publication : 2022 Importance : IX, 232 p. Présentation : ill. Format : 25 cm ISBN/ISSN/EAN : 978-1-4842-8779-8 Note générale : Index Langues : Anglais (eng) Mots-clés : R (Computer program language) Statistics -- Data processing R (Langage de programmation) Statistique -- Informatique Index. décimale : 004.43 Langage de programmation Résumé : In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more. With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis. All source code used in the book is freely available on GitHub. Note de contenu : Summary : 1. Introduction 2. Importing Data: readr 3. Representing Tables: tibble 4. Tidy+select 5. Reformatting Tables: tidyr 6. Pipelines: magrittr 7. Functional Programming: purrr 8. Manipulating Data Frames: dplyr 9. Working with Strings: stringr 10. Working with Factors: forcats 11. Working with Dates: lubridate 12. Working with Models: broom and modelr 13. Plotting: ggplot2 14. Conclusions R 4 data science quick reference : a pocket guide to APIs, libraries, and packages [texte imprimé] / Thomas Mailund, Auteur  . -  Second edition . - New York : Apress, 2022 . - IX, 232 p. : ill. ; 25 cm. ISBN : 978-1-4842-8779-8 Index Langues : Anglais (eng) Mots-clés : R (Computer program language) Statistics -- Data processing R (Langage de programmation) Statistique -- Informatique Index. décimale : 004.43 Langage de programmation Résumé : In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more. With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis. All source code used in the book is freely available on GitHub. Note de contenu : Summary : 1. Introduction 2. Importing Data: readr 3. Representing Tables: tibble 4. Tidy+select 5. Reformatting Tables: tidyr 6. Pipelines: magrittr 7. Functional Programming: purrr 8. Manipulating Data Frames: dplyr 9. Working with Strings: stringr 10. Working with Factors: forcats 11. Working with Dates: lubridate 12. Working with Models: broom and modelr 13. Plotting: ggplot2 14. Conclusions

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