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Julia 1.0 Programming Cookbook

You're reading from  Julia 1.0 Programming Cookbook

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781788998369
Pages 460 pages
Edition 1st Edition
Languages
Authors (2):
Bogumił Kamiński Bogumił Kamiński
Profile icon Bogumił Kamiński
Przemysław Szufel Przemysław Szufel
Profile icon Przemysław Szufel
View More author details
Toc

Table of Contents (18) Chapters close

Title Page
Copyright and Credits
Dedication
About Packt
Contributors
Preface
1. Installing and Setting Up Julia 2. Data Structures and Algorithms 3. Data Engineering in Julia 4. Numerical Computing with Julia 5. Variables, Types, and Functions 6. Metaprogramming and Advanced Typing 7. Handling Analytical Data 8. Julia Workflow 9. Data Science 10. Distributed Computing 1. Other Books You May Enjoy Index

Handling Feather data


Feather is a file format that provides binary columnar serialization of data. Feather files use the Apache Arrow data format for data frame storage. This format is supported for data exchange across many platforms, including Python and GNU R.

 

Getting ready

In this recipe, you will learn how to useFeather.jlto store and retrieve aDataFrame object. The Feather.jlandDataFrames.jlpackages can be installed with the Julia package manager. Additionally, the packages RCall.jl and PyCall .jl will be used to illustrate our examples in R and Python (see the Calling R from Julia and Calling Python from Julia recipes for more details on how those packages work). In the Julia command line, press]and run the following commands:

(v1.0) pkg> add DataFrames
(v1.0) pkg> add Feather
(v1.0) pkg> add RCall
(v1.0) pkg> add PyCall
(v1.0) pkg> add Conda

This will install the requiredpackages and all their dependencies.

Note

In the GitHub repository for this recipe, you will find the...

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