59 lines
3.2 KiB
Markdown
59 lines
3.2 KiB
Markdown
This repository contains source codes for the "Julia for Data Analysis" book
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that is written by Bogumił Kamiński and is planned to be published in 2022 by
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[Manning Publications Co.](https://www.manning.com/).
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In order to prepare the Julia environment before working with the materials
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presented in the book please perform the following setup steps:
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* [download](https://julialang.org/downloads/) and
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[install](https://julialang.org/downloads/platform/)
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[Julia](https://julialang.org/);
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all the codes were tested under Julia 1.7;
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* make sure you can start Julia by running `julia` command in your system shell
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(alternative ways to use Julia are described in Appendix A to the book)
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* download [this repository](https://github.com/bkamins/JuliaForDataAnalysis)
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to a local folder on your computer;
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* start Julia in a folder containing the downloaded material using the command
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`julia --project`; the folder must
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contain the Project.toml and Manifest.toml files prepared for this book
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(an explanation what these files do and why they are required is given in
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Appendix A to the book);
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* press *]*, write `instantiate` and press *Enter* (this process will ensure
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that Julia properly configures the working environment for working with
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the codes from the book);
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* press *Backspace*, write `exit()` and press *Enter*; now you should exit Julia
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and everything is set up to work with the materials presented in the book.
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The codes for each chapter are stored in files named *chXX.jl*, where *XX* is
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chapter number.
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Solutions to the exercises that are presented in appendix B in
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the book are stored in *appB.jl* file. These solutions assume that they are
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executed in the same Julia session as the codes from the chapter where the
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question was posted (so that appropriate variables and functions are defined
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and appropriate packages are loaded).
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To work with codes from some given chapter:
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* start a fresh Julia session using the `julia --project` command in a folder
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containing the downloaded material;
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* execute the commands sequentially as they appear in the file;
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the codes were prepared in a way that you do not need to restart Julia
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when working with material from a single chapter, unless it is explicitly
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written in the instructions to restart Julia (some of the codes require this);
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* before each code there is a comment allowing you to locate the relevant part
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of the book where it is used; if in the code there is a blank line between
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consecutive code sections this means that in the book these codes are
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separated by the text of the book explaining what the code does
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For your convenience I additionally stored data files that we use in this book.
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They are respectively:
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* movies.dat (for chapter 6, shared on GitHub repository
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https://github.com/sidooms/MovieTweetings under MIT license)
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* puzzles.csv.bz2 (for chapter 8, available puzzles at
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https://database.lichess.org/. The data is distributed under
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Creative Commons CC0 license)
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* git_web_ml.zip (for chapter 12, available on
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Stanford Large Network Dataset Collection website
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https://snap.stanford.edu/data/github-social.html under GPL-3.0 License)
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* owensboro.zip (for chapter 13, available at The Stanford Open Policing Project
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under the Open Data Commons Attribution License)
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