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2016
EN
Learn to build expert NLP and machine learning projects using NLTK and other Python librariesAbout This BookBreak text down into its component parts for spelling correction, feature extraction, and phrase transformationWork through NLP concepts with simple and easy-to-follow programming recipesGain insights into the current and budding research topics of NLPWho This Book Is ForIf you are an NLP or machine...
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Introduction to Machine Learning with Python
A Guide for Data Scientists
2016
EN
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You’ll learn the steps necessary to create a successful machine-learning appl...
Data Analysis with Open Source Tools
A Hands-On Guide for Programmers and Data Scientists
2010
EN
Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through...
Learning SciPy for Numerical and Scientific Computing Second Edition
Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy
2015
EN
Key FeaturesBook DescriptionThis book targets programmers and scientists who have basic Python knowledge and who are keen to perform scientific and numerical computations with SciPy.What you will learnGet to know the benefits of using the combination of Python, NumPy, SciPy, and matplotlib as a programming environment for scientific purposesCreate and manipulate an object array used by SciPyUse SciPy with large matric...
Doing Math with Python
Use Programming to Explore Algebra, Statistics, Calculus, and More!
2015
EN
Accessible
Doing Math with Python shows you how to use Python to delve into high school–level math topics like statistics, geometry, probability, and calculus. You’ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you’ve gotten the hang of things.Along the way, you’ll discover new ways to explore math and gain valuable programming skills that you’ll use throughout your study of math and computer science...
QGIS Python Programming Cookbook
Over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework
2015
EN
Key FeaturesBook DescriptionIf you are a geospatial analyst who wants to learn more about automating everyday GIS tasks or a programmer who is responsible for building GIS applications,this book is for you. The short, reusable recipes make concepts easy to understand. You can build larger applications that are easy to maintain when they are put together.What you will learnBuild a library of reusable scripts with ScriptRunnerCr...
Mastering Python for Finance
Understand, design, and implement state-of-the-art mathematical and statistical applications used in finance with Python
2015
EN
Key FeaturesBook DescriptionIf you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you. It would be helpful to have a bit of familiarity with basic Python usage, but no prior experience is required.What you will learnPerform interactive computing with...
2014
EN
This book is intended for Python programmers interested in learning how to do natural language processing. Maybe you've learned the limits of regular expressions the hard way, or you've realized that human language cannot be deterministically parsed like a computer language. Perhaps you have more text than you know what to do with, and need automated ways to analyze and structure that text. This Cookbook will show you how to train and use statistical language models to process text in ways...
Python Geospatial Development Essentials
Utilize Python with open source libraries to build a lightweight, portable, and customizable GIS desktop application
2015
EN
Utilize Python with open source libraries to build a lightweight, portable, and customizable GIS desktop applicationKey FeaturesDevelop a GIS application that you can easily modify and customizeOptimize your GIS application for user productivity and efficiencyDiscover Python’s many geospatial libraries and learn how they can work togetherBook DescriptionThis book is ideal for Python programmers who are tasked with or wish to ...
Learning Cython Programming (Second Edition)
Expand your existing legacy applications in C using Python
2016
EN
Learn the fundamentals of Cython to extend the legacy of your applicationsKey Features\[\*\]Learn how to extend C applications with pure Python code\[\*\]Get more from Python – you’ll not only learn Cython, you’ll also unlock a greater understanding of how to harness Python\[\*\]Packed with tips and tricks that make Cython look easy, dive into this accessible programming guide and find out what happens when you bring C and Python together!...
Make Your Own Python Text Adventure
A Guide to Learning Programming
2017
EN
Learn programming with Python by creating a text adventure. This book will teach you the fundamentals of programming, how to organize code, and some coding best practices. By the end of the book, you will have a working game that you can play or show off to friends. You will also be able to change the game and make it your own by writing a different story line, including new items, creating new characters, and more.Make your own Python Text Adventure offers a structured ap...
Python Natural Language Processing
Advanced machine learning and deep learning techniques for natural language processing
2017
EN
Leverage the power of machine learning and deep learning to extract information from text dataKey Features\[\*\] Implement Machine Learning and Deep Learning techniques for efficient natural language processing\[\*\] Get started with NLTK and implement NLP in your applications with ease\[\*\] Understand and interpret human languages with the power of text analysis via PythonBook DescriptionThis book starts off by laying the f...











