Normalize heading levels to match documentation guidelines

This commit is contained in:
yuvipanda
2018-07-10 11:35:18 -07:00
parent 13dcd2f871
commit 35517aab5c
11 changed files with 47 additions and 36 deletions

View File

@@ -1,5 +1,6 @@
.. _user_environment:
============================
Customizing user environment
============================
@@ -11,7 +12,7 @@ easily.
.. _user_environment_pip:
Installing pip packages
-----------------------
=======================
`pip <https://pypi.org/project/pip/>`_ is the recomended tool for installing packages
in Python from the `Python Packaging Index (PyPI) <https://pypi.org/>`_. PyPI has
@@ -41,7 +42,7 @@ almost 145,000 packages in it right now, so a lot of what you need is going to b
.. _user_environment_conda:
Installing conda packages
-------------------------
=========================
Conda lets you install new languages (such as new versions of python, node, R, etc)
as well as packages in those languages. For lots of scientific software, installing
@@ -75,7 +76,7 @@ a community maintained repository of conda packages.
.. _user_environment_apt:
Installing apt packages
-----------------------
=======================
`apt <https://help.ubuntu.com/lts/serverguide/apt.html.en>`_ is the official package
manager for the `Ubuntu Linux distribution <https://www.ubuntu.com/>`_. You can install
@@ -112,7 +113,7 @@ make sure to look in the version of Ubuntu you are using!
User environment location
-------------------------
=========================
The user environment is a conda enviornment set up in ``/opt/tljh/user``, with
a Python3 kernel as the default. It is readable by all users, but writeable only
@@ -120,7 +121,7 @@ by users who have root access. This makes it possible for JupyterHub admins (who
root access with ``sudo``) to install software in the user environment easily.
Accessing user environment outside JupyterHub
---------------------------------------------
=============================================
We add ``/opt/tljh/user/bin`` to the ``$PATH`` environment variable for all JupyterHub
users, so everything installed in the user environment is available to them automatically.