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Mastering Python Regular Expressions
Mastering Python Regular Expressions

For Python developers, this concise and down-to-earth guide to regular expressions is all you need to gain vital new knowledge. From a theoretical overview to Python specifics, it explains everything in crystal clear language.

Overview

  • Explore the workings of Regular Expressions in Python
  • ...
MongoDB and Python: Patterns and processes for the popular document-oriented database
MongoDB and Python: Patterns and processes for the popular document-oriented database

Learn how to leverage MongoDB with your Python applications, using the hands-on recipes in this book. You get complete code samples for tasks such as making fast geo queries for location-based apps, efficiently indexing your user documents for social-graph lookups, and many other scenarios.

This guide explains the basics...

CMake Cookbook: Building, testing, and packaging modular software with modern CMake
CMake Cookbook: Building, testing, and packaging modular software with modern CMake

Learn CMake through a series of task-based recipes that provide practical, simple, and ready-to-use CMake solutions for your code

Key Features

  • Configure, build, and package software written in C, C++, and Fortran
  • Progress from simple to advanced tasks with examples tested...
Functional Programming in C++: How to improve your C++ programs using functional techniques
Functional Programming in C++: How to improve your C++ programs using functional techniques
Summary

Functional Programming in C++ teaches developers the practical side of functional programming and the tools that C++ provides to develop software in the functional style. This in-depth guide is full of useful diagrams that help you understand FP concepts and begin to think functionally.

...
Pattern Recognition with Neural Networks in C++
Pattern Recognition with Neural Networks in C++

Why do we feel a need to write a book about pattern recognition when many excellent books are already available on this classical topic? The answer lies in the depth of our coverage of neural networks as natural pattern classifiers and clusterers. Artificial neural network computing has emerged as an extremely active research area with a central...

Common Warehouse Metamodel Developer's Guide
Common Warehouse Metamodel Developer's Guide
The official guide on how to develop interoperable data warehouse and business intelligence applications from the authors of the CWM specification

This authoritative guide will show you how to develop interoperable data warehouse and business intelligence applications using the Common Warehouse Metamodel (CWM) specification. It provides you...

Managing and Mining Graph Data (Advances in Database Systems)
Managing and Mining Graph Data (Advances in Database Systems)

Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific...

Learning PHP & MySQL: Step-by-Step Guide to Creating Database-Driven Web Sites
Learning PHP & MySQL: Step-by-Step Guide to Creating Database-Driven Web Sites
PHP and MySQL are quickly becoming the de facto standard for rapid development of dynamic, database-driven web sites. This book is perfect for newcomers to programming as well as hobbyists who are intimidated by harder-to-follow books. With concepts explained in plain English, the new edition starts with the basics of the PHP language, and explains...
JBoss Drools Business Rules
JBoss Drools Business Rules

In business, a lot of actions are trigged by rules: "Order more ice cream when the stock is below 100 units and temperature is above 25° C", "Approve credit card application when the credit background check is OK, past relationship with the customer is profitable, and identity is confirmed", and so on. Traditional...

An Introduction to Neural Networks
An Introduction to Neural Networks
Covers: artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps.

This book grew out of a set of course notes for a neural networks module given as part of a
...
Design Patterns in C#: A Hands-on Guide with Real-World Examples
Design Patterns in C#: A Hands-on Guide with Real-World Examples
Get hands-on experience with each Gang of Four design pattern using C#. For each of the patterns, you’ll see at least one real-world scenario, a coding example, and a complete implementation including output.

In the first part of Design Patterns in C#, you will cover the 23 Gang of Four (GoF) design...
Mining Sequential Patterns from Large Data Sets (Advances in Database Systems)
Mining Sequential Patterns from Large Data Sets (Advances in Database Systems)
The focus of Mining Sequential Patterns from Large Data Sets is on sequential pattern mining. In many applications, such as bioinformatics, web access traces, system utilization logs, etc., the data is naturally in the form of sequences. This information has been of great interest for analyzing the sequential data to find its...
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