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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

Reading and writing Microsoft Excel files


Microsoft Excel is a popular spreadsheet application. In this recipe, you will discover how to create files within Julia using the openpyxl Python library, as well as how to read Excel files. Specifically, we will look at how to handle Excel files in two different ways: firstly, by using Python's openpyxl library via PyCall.jl, and secondly, by using the XLSX.jl package.

Getting ready

For this recipe, you need the following packages: PyCall.jl, Conda.jl, DataFrames.jl, and XLSX.jl. Install them with the Julia package manager by going to the Julia command line (REPL), pressing the ] key, and running the following commands:

(v1.0) pkg> add PyCall
(v1.0) pkg> add Conda
(v1.0) pkg> add DataFrames 
(v1.0) pkg> add XLSX

This will install the required packages and their dependencies.

 

The openpyxl Python library can be installed with the following commands:

julia> using Conda
julia> Conda.add("openpyxl")

Note

In the GitHub repository for this...

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