📝 Switch from pipenv to uv

Author: veit

docs/bokeh/directory-format-apps.ipynb

@@ -53,9 +53,9 @@
     "You can find a complete example at: https://github.com/bokeh/bokeh/tree/branch-3.3/examples/server/app/dash. After you have downloaded the `dash` folder, you can start the Bokeh server with\n",
     "\n",
     "``` bash\n",
-    "$ pipenv run python -m bokeh serve --show dash/\n",
+    "$ uv run python -m bokeh serve --show dash/\n",
     "\n",
-    "$ pipenv run python -m bokeh serve --show examples/app/dash/\n",
+    "$ uv run python -m bokeh serve --show examples/app/dash/\n",
     "2019-02-08 19:02:42,829 Starting Bokeh server version 1.0.4 (running on Tornado 5.1.1)\n",
     "2019-02-08 19:02:42,835 Bokeh app running at: http://localhost:5006/dash\n",
     "```\n",

docs/bokeh/embedding-export/flask.rst

@@ -10,7 +10,7 @@ As an example, we embed bokeh plots in the `Flask
 
     $ mkdir embed
     $ cd !$
-    $ pipenv install flask bokeh pandas
+    $ uv add flask bokeh pandas
 
 #. Embedding bokeh plots in Flask:
 
@@ -61,7 +61,7 @@ As an example, we embed bokeh plots in the `Flask
 
        .. code-block:: sh
 
-          $ pipenv run bokeh sampledata
+          $ uv run bokeh sampledata
 
    #. We then create the following :file:`theme.yaml` file for the design of the
       ``Figure`` and ``Grid``:
@@ -87,7 +87,6 @@ As an example, we embed bokeh plots in the `Flask
          from bokeh.embed import server_document
          from flask import render_template
 
-
          ...
 
 
@@ -128,7 +127,6 @@ As an example, we embed bokeh plots in the `Flask
          from flask import Flask
          from tornado.ioloop import IOLoop
 
-
          ...
 
 
@@ -171,14 +169,14 @@ As an example, we embed bokeh plots in the `Flask
    .. code-block:: sh
 
     $ export FLASK_APP=flask_embed.py
-    $ pipenv run flask run
+    $ uv run flask run
 
    or, if several bokeh workers are to be started:
 
    .. code-block:: sh
 
     $ export FLASK_APP=flask_gunicorn_embed.py
-    $ pipenv run flask run
+    $ uv run flask run
 
 .. seealso::
 

docs/bokeh/index.rst

@@ -45,7 +45,7 @@ example
 
 .. code-block:: console
 
-    $ pipenv install bokeh
+    $ uv add bokeh
 
 Optional extensions
 ~~~~~~~~~~~~~~~~~~~
@@ -77,7 +77,7 @@ clone the Git repository and look at the examples/ directory to see the
 Most of these examples use sample data, which must also be provided separately.
 To download these files, simply enter the following:
 
-    $ pipenv run bokeh sampledata
+    $ uv run bokeh sampledata
 
 .. toctree::
     :titlesonly:

docs/bokeh/integration/datashader.ipynb

@@ -11,7 +11,7 @@
     "The [datashader](https://datashader.org/) library is intended to extend Bokeh to allow visualisation of very large data sets by ensuring a faithful representation of the overall distribution rather than individual data points. datashader is installed with\n",
     "\n",
     "``` bash\n",
-    "$ pipenv install datashader\n",
+    "$ uv add datashader\n",
     "```"
    ]
   },

docs/bokeh/integration/holoviews/geoviews.ipynb

@@ -15,10 +15,10 @@
    "source": [
     "## Installation\n",
     "\n",
-    "If [Cartopy](../../../matplotlib/cartopy/install.rst) is already installed, GeoViews can be installed with pipenv:\n",
+    "If [Cartopy](../../../matplotlib/cartopy/install.rst) is already installed, GeoViews can be installed with uv:\n",
     "\n",
     "``` bash\n",
-    "$ pipenv install geoviews\n",
+    "$ uv add geoviews\n",
     "```"
    ]
   },

docs/bokeh/integration/holoviews/hvplot/examples.ipynb

@@ -43,7 +43,7 @@
     "Afterwards, additional packages should be installed for your kernel, for example with:\n",
     "\n",
     "  ``` sh\n",
-    "  $ pipenv install intake intake-parquet s3fs python-snappy pyviz-comms\n",
+    "  $ uv add intake intake-parquet s3fs python-snappy pyviz-comms\n",
     "  …\n",
     "  ```"
    ]

docs/bokeh/integration/holoviews/hvplot/install.rst

@@ -5,7 +5,7 @@ hvPlot can be installed with
 
 .. code-block:: console
 
-    $ pipenv install hvplot
+    $ uv add hvplot
     Installing hvplot…
     Adding hvplot to Pipfile's [packages]…
     ✔ Installation Succeeded

docs/conf.py

@@ -138,8 +138,9 @@
 
 intersphinx_mapping = {
     "jupyter-tutorial": ("https://jupyter-tutorial.readthedocs.io/en/latest/", None),
+    "python-basics": ("https://python-basics-tutorial.readthedocs.io/en/latest/", None),
     "python4datascience": ("https://python4data.science/en/latest/", None),
-    "cusy-design": ("https://www.cusy.design/de/latest/", None),
+    "cusy-design": ("https://www.cusy.design/", None),
     "bokeh": ("https://docs.bokeh.org/en/latest", None),
     "pandas": ("https://pandas.pydata.org/pandas-docs/stable/", None),
 }

docs/js/xarray-leaflet.ipynb

@@ -18,7 +18,7 @@
     "You can install `xarray-leaflet` in your Jupyter kernel with:\n",
     "\n",
     "``` bash\n",
-    "$ pipenv install xarray-leaflet\n",
+    "$ uv add xarray-leaflet\n",
     "Installing xarray-leaflet…\n",
     "…\n",
     "``` \n",

docs/matplotlib/cartopy/install.rst

@@ -51,14 +51,14 @@ Cartopy can then be installed for your kernel, for example with:
 .. code-block:: console
 
     $ export PIP_NO_BINARY=:shapely:
-    $ pipenv install cython numpy cartopy
+    $ uv add cython numpy cartopy
 
 For the Cartopy :doc:`examples`, you will also need the following two Python
 packages:
 
 .. code-block:: console
 
-    $ pipenv install matplotlib scipy
+    $ uv add matplotlib scipy
 
 Optional requirements
 ---------------------