3 eBooks tagged "Data and Using"

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iNetHouse

Data Structures And Algorithms Using Visual Basic .NET
Posted: September 17th, 2007, 2:48pm CEST

Tags:  Data Structures and Algorithms Using   [edit]



Author(s) : Michael McMillan
Publisher : Cambridge
Year : Mar 2005
ISBN 10 : 0521547652
ISBN 13 : 9780521547659
Language : English
Pages : 412
File type : PDF
Size : 1.2 MB

This is the first Visual Basic.NET (VB.NET) book to provide a comprehensive discussion of the major data structures and algorithms. Here, instead of having to translate material on C++ or Java, the professional or student VB.NET programmer will and a tutorial on how to use data structures and algorithms and a reference for implementation using VB.NET for data structures and algorithms from the .NET Framework Class Library as well as those that must be developed by the programmer.



This book is written primarily as a practical overview of the data structures and algorithms all serious computer programmers need to know and understand. Given this, there is no formal analysis of the data structures and algorithms covered in the book. Hence, there is not a single mathematical formula and not one mention of Big O analysis (for the latter the reader is referred to any of the books listed in the bibliography). Instead, the various data structures and algorithms are presented as problem-solving tools. We use simple timing tests to compare the performance of the data structures and algorithms discussed in the book.

This book can be used in both beginning and advanced computer programming courses that use the VB.NET language and, most importantly, by the professional Visual Basic programmer.


TABLE OF CONTENT:
Chapter 01 - Collections
Chapter 02 - Arrays and ArrayLists
Chapter 03 - Basic Sorting Algorithms
Chapter 04 - Basic Searching Algorithms
Chapter 05 - Stacks and Queues
Chapter 06 - The BitArray Class
Chapter 07 - Strings, the String Class, and the StringBuilder Class
Chapter 08 - Pattern Matching and Text Processing
Chapter 09 - Building Dictionaries
Chapter 10 - Hashing and the HashTable Class
Chapter 11 - Linked Lists
Chapter 12 - Binary Trees and Binary Search Trees
Chapter 13 - Sets
Chapter 14 - Advanced Sorting Algorithms
Chapter 15 - Advanced Data Structures and Algorithms for Searching
Chapter 16 - Graphs and Graph Algorithms
Chapter 17 - Advanced Algorithms


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password:
ganelon

Noeman GSM - E-Books

Automated Data Analysis Using Excel
Posted: September 7th, 2007, 1:30pm CEST by Spiral

Tags:  Automated Data Analysis Using Excel   [edit]

LANGUAGE : English
FORMAT : PDF
SIZE : 05 x 2.88 MB


Quote:[ R e l e a s e N o t e s ]

Because the analysis of copious amounts of data and the preparation of
custom reports often take away time from true research, the automation
of these processes is paramount to ensure productivity. Exploring the
core areas of automation, report generation, data acquisition, and data
analysis, Automated Data Analysis Using Excel illustrates how to
minimize user intervention, automate parameter setup, obtain consistency
in both analysis and reporting, and save time through automation.
Focusing on the built-in Visual Basic(r) for Applications (VBA) scripting
language of Excel(r), the book shows step-by-step how to construct useful
automated data analysis applications for both industrial and academic
settings. It begins by discussing fundamental elements, the methods for
importing and accessing data, and the creation of reports. The author
then describes how to use Excel to obtain data from non-native sources,
such as databases and third-party calculation tools. After providing the
means to access any required information, the book explains how to
automate manipulations and calculations on the acquired data sources.
Collecting all of the concepts previously discussed in the book, the
final chapter demonstrates from beginning to end how to create a
cohesive, robust application. With an understanding of this book,
readers should be able to construct applications that can import data
from a variety of sources, apply algorithms to data that has been
imported, and create meaningful reports based on the results.
U
Download (13.79 Mb):
Code:http://rapidshare.com/files/47629974...Jun. 2007.rar
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English E-Books

Data Structures And Algorithms Using Visual Basic .NET
Posted: September 29th, 2007, 7:47pm CEST by E-Books

Tags:  Data Structures and Algorithms Using   [edit]



Author(s) : Michael McMillan
Publisher : Cambridge
Year : Mar 2005
ISBN 10 : 0521547652
ISBN 13 : 9780521547659
Language : English
Pages : 412
File type : PDF
Size : 1.2 MB

This is the first Visual Basic.NET (VB.NET) book to provide a comprehensive discussion of the major data structures and algorithms. Here, instead of having to translate material on C++ or Java, the professional or student VB.NET programmer will and a tutorial on how to use data structures and algorithms and a reference for implementation using VB.NET for data structures and algorithms from the .NET Framework Class Library as well as those that must be developed by the programmer.

This book is written primarily as a practical overview of the data structures and algorithms all serious computer programmers need to know and understand. Given this, there is no formal analysis of the data structures and algorithms covered in the book. Hence, there is not a single mathematical formula and not one mention of Big O analysis (for the latter the reader is referred to any of the books listed in the bibliography). Instead, the various data structures and algorithms are presented as problem-solving tools. We use simple timing tests to compare the performance of the data structures and algorithms discussed in the book.

This book can be used in both beginning and advanced computer programming courses that use the VB.NET language and, most importantly, by the professional Visual Basic programmer.


TABLE OF CONTENT:
Chapter 01 - Collections
Chapter 02 - Arrays and ArrayLists
Chapter 03 - Basic Sorting Algorithms
Chapter 04 - Basic Searching Algorithms
Chapter 05 - Stacks and Queues
Chapter 06 - The BitArray Class
Chapter 07 - Strings, the String Class, and the StringBuilder Class
Chapter 08 - Pattern Matching and Text Processing
Chapter 09 - Building Dictionaries
Chapter 10 - Hashing and the HashTable Class
Chapter 11 - Linked Lists
Chapter 12 - Binary Trees and Binary Search Trees
Chapter 13 - Sets
Chapter 14 - Advanced Sorting Algorithms
Chapter 15 - Advanced Data Structures and Algorithms for Searching
Chapter 16 - Graphs and Graph Algorithms
Chapter 17 - Advanced Algorithms

[rapidshare.com]

password:
ganelon