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, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control this data avalanche for;
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with an analysis of unstructured data with different text mining techniques and leveraging the power of Python in big data analytics. Style;
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Frank Kane's hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available;
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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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This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale;
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, data analysis, statistical modeling and machine learning. What You'll Learn Work with vectors and matrices using NumPy Plot and;
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operation and manipulation of Python for data analysis Implement real-world datasets to perform predictive analytics with Python Access modern data;
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of eight highly reviewed books Who This Book Is For This book teaches Python data analysis at an intermediate level with the goal;
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Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data;
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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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Master big data with Python and become a data scientist How to use data science in a big data world Gain hands on experience;
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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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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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effective big data analytics solutions on-premise and on cloud Integrate Hadoop with other big data tools such as R, Python, Apache Spark, and;
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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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sensing analysis using the latest features in Python. This book will take you through GIS techniques, geodatabases, geospatial raster data, and;
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provide you with a thorough discussion on the analysis and design of fundamental Python data structures. * Get a better understanding of advanced;
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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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, especially for data analysis applications. Certain low-level language features are discussed in detail, especially Python memory management and data;
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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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building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and;
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of datasets, starting with basic classification and affinity analysis. This book covers a large number of libraries available in Python, including the;
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Explore GIS processing and learn to work with various tools and libraries in Python. Key Features Analyze and process geospatial data using;
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