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  • Mastering Python for Data Science

    Explore the world of data science through Python and learn how to make sense of data

    Explore the world of data science through Python and learn how to make sense of data Key FeaturesMaster data science methods using Python and its librariesCreate data visualizations and mine for patternsAdvanced techniques for the four fundamentals of Data Science with Python - data mining, data analysis, data visualization, and machine learningBook DescriptionData science is a relatively new ... Leer más

    $49.99 USD o gratis con Kobo Plus

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    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 ... Leer más

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  • matplotlib Plotting Cookbook

    This book follows a cookbook style approach that puts orthogonal and non-redundant recipes in your hands. Rather than rehashing the user manual, the explanations expose the underlying logic behind Matplotlib. If you are an engineer or scientist who wants to create great visualizations with Python, rather than yet another specialized language, this is the book for you. While there are several very ... Leer más

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  • IPython Interactive Computing and Visualization Cookbook

    Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods. ... Leer más

    $27.99 USD o gratis con Kobo Plus

  • Text Mining with R

    A Tidy Approach

    Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you’ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You’ll learn how tidytext and ... Leer más

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  • Effective Computation in Physics

    Field Guide to Research with Python

    More physicists today are taking on the role of software developer as part of their research, but software development isnâ??t always easy or obvious, even for physicists. This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of research in a physics-based field.Written by two PhDs in nuclear engineering, this book includes ... Leer más

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  • Learning Geospatial Analysis with Python

    If you know Python and would like to use it for Geospatial Analysis this book is exactly what you've been looking for. With an organized, user-friendly approach it covers all the bases to give you the necessary skills and know-how.

    de Joel Lawhead ...
    If you know Python and would like to use it for Geospatial Analysis this book is exactly what you ve been looking for. With an organized, user-friendly approach it covers all the bases to give you the necessary skills and know-how.Key FeaturesConstruct applications for GIS development by exploiting PythonFocuses on built-in Python modules and libraries compatible with the Python Packaging Index ... Leer más

    $31.99 USD o gratis con Kobo Plus

  • Data Wrangling with Python

    Tips and Tools to Make Your Life Easier

    How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started.Through various step-by-step exercises, you’ll learn how to ... Leer más

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  • Big Data Analytics with R

    Leverage R Programming to uncover hidden patterns in your Big Data

    Utilize R to uncover hidden patterns in your Big Data Key Features\[\* \] Perform computational analyses on Big Data to generate meaningful results\[\*\] Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases,\[\*\] Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the ... Leer más

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  • Mastering Python Data Visualization

    Generate effective results in a variety of visually appealing charts using the plotting packages in Python

    de Kirthi Raman ...
    Key FeaturesBook DescriptionPython has a handful of open source libraries for numerical computations involving optimization, linear algebra, integration, interpolation, and other special functions using array objects, machine learning, data mining, and plotting. Pandas have a productive environment for data analysis. These libraries have a specific purpose and play an important role in the ... Leer más

    $41.99 USD o gratis con Kobo Plus

  • Learning to Love Data Science

    Explorations of Emerging Technologies and Platforms for Predictive Analytics, Machine Learning, Digital Manufacturing and Supply Chain Optimization

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    Until recently, many people thought big data was a passing fad. "Data science" was an enigmatic term. Today, big data is taken seriously, and data science is considered downright sexy. With this anthology of reports from award-winning journalist Mike Barlow, you’ll appreciate how data science is fundamentally altering our world, for better and for worse.Barlow paints a picture of the emerging data ... Leer más

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  • Thoughtful Machine Learning with Python

    A Test-Driven Approach

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    Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext.Featuring graphs and highlighted code examples throughout, the book features tests with Python’s Numpy, Pandas, Scikit-Learn, and SciPy data science libraries. If you’re a ... Leer más

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