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    Julia Cookbook. Click here to enter text

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Julia Cookbook. Click here to enter text Jalem Raj Rohit - okładka ebooka

    Julia Cookbook. Click here to enter text Jalem Raj Rohit - okładka ebooka

    Julia Cookbook. Click here to enter text Jalem Raj Rohit - okładka audiobooka MP3

    Julia Cookbook. Click here to enter text Jalem Raj Rohit - okładka audiobooks CD

    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    172
    Dostępne formaty:
    PDF
    ePub
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    Ebook

    119,00 zł

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    Want to handle everything that Julia can throw at you and get the most of it every day? This practical guide to programming with Julia for performing numerical computation will make you more productive and able work with data more efficiently. The book starts with the main features of Julia to help you quickly refresh your knowledge of functions, modules, and arrays. We’ll also show you how to utilize the Julia language to identify, retrieve, and transform data sets so you can perform data analysis and data manipulation.
    Later on, you’ll see how to optimize data science programs with parallel computing and memory allocation. You’ll get familiar with the concepts of package development and networking to solve numerical problems using the Julia platform.
    This book includes recipes on identifying and classifying data science problems, data modelling, data analysis, data manipulation, meta-programming, multidimensional arrays, and parallel computing. By the end of the book, you will acquire the skills to work more effectively with your data.

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    O autorze ebooka

    Jalem Raj Rohit is an IIT Jodhpur graduate with a keen interest in recommender systems, machine learning, and serverless and distributed systems. Raj currently works as a senior consultantdata scienceand NLP at Episource, before which he worked at Zomato and Kayako. He contributes to open source projects in Python, Go, and Julia. He also speaks at tech conferences about serverless engineering and machine learning.

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