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Codes for chapters 1, 2, and 3

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# JuliaForDataAnalysis
Codes for the book "Julia for Data Analysis"
This repository contains source codes for the "Julia for Data Analysis" book
that is written by Bogumił Kamiński and is planned to be published in 2022 by
[Manning Publications Co.](https://www.manning.com/).
In order to prepare the Julia environment before working with the materials
presented in the book please perform the following setup steps:
* [download](https://julialang.org/downloads/) and
[install](https://julialang.org/downloads/platform/)
[Julia](https://julialang.org/);
all the codes were tested under Julia 1.7;
* make sure you can start Julia by running `julia` command in your system shell
(alternative ways to use Julia are described in Appendix A to the book)
* download [this repository](https://github.com/bkamins/JuliaForDataAnalysis)
to a local folder on your computer;
* start Julia in a folder containing the downloaded material using the command
`julia --project`; the folder must
contain the Project.toml and Manifest.toml files prepared for this book
(an explanation what these files do and why they are required is given in
Appendix A to the book);
* press *]*, write `instantiate` and press *Enter* (this process will ensure
that Julia properly configures the working environment for working with
the codes from the book);
* press *Backspace*, write `exit()` and press *Enter*; now you should exit Julia
and everything is set up to work with the materials presented in the book.
The codes for each chapter are stored in files named *chXX.jl*, where *XX* is
chapter number.
To work with codes from some given chapter:
* start a fresh Julia session using the `julia --project` command in a folder
containing the downloaded material;
* execute the commands sequentially as they appear in the file;
the codes were prepared in a way that you do not need to restart Julia
when working with material from a single chapter, unless it is explicitly
written in the instructions to restart Julia (some of the codes require this).