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@ -9,6 +9,7 @@ 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/);
@ -32,6 +33,7 @@ presented in the book please perform the following setup steps:
Additional instructions how to manage your Julia installation are given in
Appendix A to the book. In particular I explain there how to perform a correct
configuration of your environment when doing:
* integration with Python using the PyCall.jl package;
* integration with R using the RCall.jl package;
* installation of Plots.jl (which by default uses the GR Framework that requires
@ -54,11 +56,12 @@ you extracted Julia in, for example, the `/opt` folder, the simplest way
to make sure that your system can find `julia` executable is to add it to
your system `PATH` environment variable. A standard way to do it is to
edit your `~/.bashrc` (or `~/.bash_profile`) file and add there the:
```
```text
export PATH="$PATH:/opt/julia-1.7.2/bin"
```
line (assuming you have downloaded Julia 1.7.2 and extracted it to `/opt` folder).
line (assuming you have downloaded Julia 1.7.2 and extracted it to `/opt` folder).
## Organization of the code
@ -77,6 +80,7 @@ and appropriate packages are loaded).
## Running the example codes
To work with codes from some given chapter:
* it is recommended to use a machine with at least 8GB of RAM when working
with the examples in this book;
* start a fresh Julia session using the `julia --project` command in a folder
@ -95,13 +99,14 @@ To work with codes from some given chapter:
For your convenience I additionally stored data files that we use in this book.
They are respectively:
* movies.dat (for chapter 6, shared on GitHub repository
https://github.com/sidooms/MovieTweetings under MIT license)
<https://github.com/sidooms/MovieTweetings> under MIT license)
* puzzles.csv.bz2 (for chapter 8, available puzzles at
https://database.lichess.org/. The data is distributed under
<https://database.lichess.org/>. The data is distributed under
Creative Commons CC0 license)
* git_web_ml.zip (for chapter 12, available on
Stanford Large Network Dataset Collection website
https://snap.stanford.edu/data/github-social.html under GPL-3.0 License)
<https://snap.stanford.edu/data/github-social.html> under GPL-3.0 License)
* owensboro.zip (for chapter 13, available at The Stanford Open Policing Project
under the Open Data Commons Attribution License)