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practical book provides complete examples and exercises in R and Python to help you gain more insight from your data--immediately. Understand the;
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This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical;
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Learn how to apply powerful data analysis techniques with popular open source Python modules About This Book * Find, manipulate, and;
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about data manipulation into R and Python programming. This practical book guides you through: Foundations of analytics in Excel: Use;
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Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting;
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Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a;
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Who This Book Is For If you are a Python developer who wants to get started with data analysis and you need a quick introductory guide to;
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Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific;
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Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write;
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This is a tutorial-style book that helps you to perform Geospatial and GIS analysis with Python and its tools/libraries. This book will;
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comfortable in performing data exploration and analysis on Python using pandas Step-by-step demonstration of using Python and pandas with interactive;
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Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write;
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, especially for data analysis applications. Certain low-level language features are discussed in detail, especially Python memory management and data;
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