Course materials and notes for the course Data Science for Everyone.
This textbook is based on the Berkeley Foundations of Data Science course. The most recent version of the course is at Computational and Inferential Thinking. The repository for the textbook is on Github.
Versions of the Berkeley course come from the last commit in that repository that is licensed with a Creative Commons CC-BY-NC license
64b20f0
. The following commit (710ed4e
) relicensed the work with a CC-BY-NC-ND license, forbidding derivative works.
The template for this website comes from https://github.com/choldgraf/textbooks-with-jupyter - many thanks to Chris Holdgraf for putting that together.
Say your Github username is my-gh-user
.
Go to the repository page https://github.com/matthew-brett/dsfe.
Click on "Fork" button near top right, to make your own fork of the
repository, that will now be at https://github.com/my-gh-user/dsfe
.
Before you clone the repository, make sure you are working in a case-sensitive filesystem. The default macOS filesystem is not case-sensitive, see the section "Case-sensitive files on the Mac" near the end, before you continue, and clone into this new filesystem.
Clone the main repo:
git clone https://github.com/matthew-brett/dsfe
Add a remote for your fork:
cd dsfe
git remote add my-gh-user https://github.com/my-gh-user/dsfe.git
git fetch my-gh-user
Get the submodules for the repository (you'll need these for the build):
git submodule update --init
Start by making some branch to work on, linked to your fork. Use
a name to match the kind of changes you are about to make, like
rewrite-intro-pages
:
git branch rewrite-intro-pages
git checkout rewrite-intro-pages
Associate this branch with your fork:
git push my-gh-user rewrite-intro-pages -u
The -u
flag above stores the association of this branch with your
fork, referenced by my-gh-user
.
If you use Conda then you might make a Conda environment for working on the repo. I don't, I use pip, and I make a virtual environment. You can do that like this:
python3 -m venv my-venv
source my-virtualenv/bin/activate
Or, if you have virtualenvwrapper (I do) then, you might prefer:
python3 -m venv $WORKON_HOME/my-venv
workon my-venv
Install the Python packages you need for building the site:
pip install -r build-requirements.txt
Install the site build / serve engine, Jekyll, by following the Jekyll install instructions.
Finish up with a final:
bundle install
Finally, check that you can run the local website server with:
make serve
Copy the URL that comes up, and paste into your browser's URL bar, to check you get can load the local website copy.
I'm using the excellent Jupytext to make it easier to edit Jupyter Notebooks. Jupytext automates saving Notebook files as Markdown (and other formats), and loading them from edited Markdown (and other formats).
You need to configure Jupyter to use it. If you don't have a Jupyter configuration, do:
jupyter notebook --generate-config
You should now have a file ~/.jupyter/jupyter_notebook_config.py
.
Append these lines:
c.NotebookApp.contents_manager_class = "jupytext.TextFileContentsManager"
c.ContentsManager.default_jupytext_formats = "ipynb,Rmd"
I also turned off autosave globally, by following the instructions in this stackoverflow answer. This stops autosave saving over any edits that I am making in the Markdown source.
Be careful - if you are used to autosave in Jupyter, you can easily lose work when you disable autosave.
mkdir -p ~/.jupyter/custom
Add the following line to ~/.jupyter/custom/custom.js
:
Jupyter.notebook.set_autosave_interval(0); // disable autosave
Finally, you may want to clone the original Berkeley textbook:
# Get out of dsfe tree
cd ..
git clone https://github.com/data-8/textbook
Make sure you are using the last commit we can legally use, from the Berkeley repository:
cd textbook
# Checkout the last CC-BY-NC commit
git checkout 64b20f0
Consider installing hub to make interactions with Github easier, from the command line.
You might want to check the instructions for configuring the build at https://github.com/choldgraf/textbooks-with-jupyter.
make serve
to run the local server serving_site
directory.- Attach browser to http://localhost:4000/dsfe/ as suggested in
output of
make serve
. - Edit
.Rmd
and / or.ipynb
files make rebuild-notebooks
to rebuild.ipynb
from more recent.Rmd
files, and rebuild.md
files from more recent.ipynb
files.- Review in browser
- Final check
- Ship with
make github
The default file-systems for current Macs are Journalled HFS+, or APFS, neither of which are case-sensitive by default. This causes problems with file-names for the built files - see https://github.com/choldgraf/jupyter-book/pull/27.
You can check if you are on a case-sensitive file-system with:
mkdir tmp
touch tmp/abcd.txt
touch tmp/abcD.txt
ls tmp/ab*.txt
If you see only one file listed, you're on a case-insensitive file-system, and this will cause problems for editing and uploading the files in this repo.
The easiest way to solve this, on a modern Mac, is to make a new
case-sensitive APFS volume. Go to Disk Utility, click on a hard
drive, click on the +
icon at the top left, under "Volume", and you
should get a GUI for "Add APFS volume to a container?". Choose "APFS
(Case-sensitive)". With all done, you should have a new volume, into which you can clone the repository.
If you do not have the option above, you can also make a new disk image file, and mount that. In my hands, this started to get very slow, as the disk image got close to full. Here are the instructions in case you want to give it a go:
- Make a disk image with a case-sensitive file-system on it.
- Mount the disk image
- Work inside the mounted disk image.
Clone this Gist:
git clone https://gist.github.com/faa9ccc0d7cb2936263f16192106a98a
Have a look at the .plist
file inside, and follow the instructions
in the comments, to set this up. When you have followed the
instructions, you should find that the system mounts the image
automatically when you log in.