| .. | ||
| lecture01.ipynb | ||
| lecture02.ipynb | ||
| lecture03.ipynb | ||
| lecture04.ipynb | ||
| lecture05.ipynb | ||
| lecture06.ipynb | ||
| lecture07.ipynb | ||
| lecture08.ipynb | ||
| lecture09.ipynb | ||
| lecture10.ipynb | ||
| lecture11.ipynb | ||
| lecture12.ipynb | ||
| lecture13.ipynb | ||
| lecture14.ipynb | ||
| logo.png | ||
| README.md | ||
Julia for Data Analysis
Contents
This folder contains Jupyter Notebooks with lecture templates to the book "Julia for Data Analysis" that is written by Bogumił Kamiński and is planned to be published in 2022 by Manning Publications Co..
The lecture tempates can be used as:
- starting point for preparation of teaching materials by instructors giving couses about data analysis using the Julia language.
- An alternative for the readers of the book to .jl files located in the root folder of this repository.
The notebooks were prepared by Bogumił Kamiński and Daniel Kaszyński.
The files containing lecture template have a naming convention
lectureDD.ipynb, where DD is book chapter number for which the were
prepared.
The differences from the codes presented in the book (the .jl files in the root folder) are:
- code layout was changed (so it is not identical to code presented in the book);
- some codes adjusted or omitted in comparison to the book version, to make the presentation suitable for Jupyter Notebook format.
Running instructions
The Jupyter Notebooks are stored in the lectures folder of the repository. Therefore they will automatically use the information from Project.toml and Manifest.toml files that are contained in the root folder of the repository to properly set up the working environment.
However, before running Jupyter Notebooks you need to make sure that your environment is properly configured to run Julia in Jupyter.
The notebooks were prepared under Julia 1.7, but they should work under newer Julia 1.x versions. In this case what you might need to do is change Jupyter Notebook kernel to the version of Julia that you have. In this case please make sure to run the following command in projects root folder before working with the notebooks:
julia --project -e "using Pkg; Pkg.instantiate()"
The simplest way to configure your environment is as follows:
- Start Julia in a terminal using
juliacommand in the folder containing the lecture materials. - press ] to switch to package manager mode.
- Make sure you are in a home project environment. Your prompt should look as
(@v1.8) pkg>. If it is not then run theactivatecommand. Then you will switch to the home project environment. The reason why we do it is to avoid adding IJulia.jl to the local project environment of the book (as it could update some of the packages used in the book). - Install the IJulia.jl package by
running command
add IJulia. - Rress Backspace to leave package manager mode.
- Run the command
using IJulia; notebook(dir=pwd())that will start Jupyter in the current Julia directory. This directory should be the folder containing the lecture materials as we have started Julia in this folder. If you are not in this folder then instead of passingpwd()write a path to the folder where the lecture materials are located.
Preparation of these exercises have been supported by the Polish National Agency for Academic Exchange under the Strategic Partnerships programme, grant number BPI/PST/2021/1/00069/U/00001.
