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    Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python Theodore Petrou - okładka ebooka

    Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python Theodore Petrou - okładka ebooka

    Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python Theodore Petrou - okładka audiobooka MP3

    Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python Theodore Petrou - okładka audiobooks CD

    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    532
    Dostępne formaty:
    PDF
    ePub
    Mobi

    Ebook

    159,00 zł

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    Do przechowalni

    This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas 0.20. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way.

    The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter.

    Many advanced recipes combine several different features across the pandas 0.20 library to generate results.

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    O autorze ebooka

    Theodore Petrou is the founder of Dunder Data, a training company dedicated to helping teach the Python data science ecosystem effectively to individuals and corporations. Read his tutorials and attempt his data science challenges at the Dunder Data website.

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