Release 2.0.0 (#94)

* Refresh package-lock.json

* Update version to 2.0.0

* Update to bokeh 2.0

* Update dates in license

* Require minimum Python 3.6+

* Drop __future__ imports

* Add DEVGUIDE.md

Author: mattpap

DEVGUIDE.md

@@ -0,0 +1,10 @@
+# Release process
+
+## Update package version
+
+| File                        | Entry             | Content  |
+| --------------------------- | ----------------- | -------- |
+| `jupyter_bokeh/__init__.py` | `__version__`     | `2.0.0`  |
+| `jupyter_bokeh/widgets.py`  | `_module_version` | `^2.0.0` |
+| `package.json`              | `version`         | `2.0.0`  |
+| `setup.py`                  | `version`         | `2.0.0`  |

LICENSE.txt

@@ -1,4 +1,4 @@
-Copyright (c) 2012 - 2019, Anaconda, Inc., and Bokeh Contributors
+Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors
 All rights reserved.
 
 Redistribution and use in source and binary forms, with or without modification,

README.md

@@ -36,22 +36,23 @@ jupyter nbextension enable jupyter_bokeh --py --sys-prefix
 ## Compatibility
 
 The core [Bokeh](https://github.com/bokeh/bokeh) library is generally version independent of
-[JupyterLab](https://github.com/jupyterlab/jupyterlab) and this ``jupyter_bokeh`` extension for versions
-of ``bokeh>=0.12.0``.
+[JupyterLab](https://github.com/jupyterlab/jupyterlab) and this ``jupyter_bokeh`` extension
+for versions of ``bokeh>=2.0.0``.
 
 Our goal is that ``jupyter_bokeh`` minor releases (using the [SemVer](https://semver.org/) pattern) are
 made to follow JupyterLab minor release bumps and micro releases are for new ``jupyter_bokeh`` features
 or bug fix releases. We've been previously inconsistent with having the extension release minor version bumps
 track that of JupyterLab, so users seeking to find extension releases that are compatible with their JupyterLab
 installation may refer to the below table.
 
-###### Compatible JupyterLab and jupyter_bokeh versions
+###### Compatible JupyterLab and `jupyter_bokeh` versions
 
-| JupyterLab    | jupyter_bokeh |
+| JupyterLab    | `jupyter_bokeh`  |
 | ------------- | ---------------- |
 | 0.34.x        | 0.6.2            |
 | 0.35.x        | 0.6.3            |
 | 1.0.x         | 1.0.0            |
+| 2.0.x         | 1.0.0            |
 
 ## Development
 

conda.recipe/meta.yaml

@@ -21,10 +21,10 @@ requirements:
   build:
     - python
     - setuptools
-    - nodejs >=8.8
+    - nodejs >=10.13.0
   run:
     - python
-    - bokeh >=1.3.4
+    - bokeh >=2.0.0
     - ipywidgets >=7.0.0
 
 test:

jupyter_bokeh/__init__.py

@@ -2,4 +2,4 @@
 
 from .widgets import BokehModel
 
-__version__ = "1.2.0"
+__version__ = "2.0.0"

jupyter_bokeh/widgets.py

@@ -1,5 +1,5 @@
 #-----------------------------------------------------------------------------
-# Copyright (c) 2012 - 2019, Anaconda, Inc., and Bokeh Contributors.
+# Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors.
 # All rights reserved.
 #
 # The full license is in the file LICENSE.txt, distributed with this software.
@@ -13,7 +13,6 @@
 #-----------------------------------------------------------------------------
 # Boilerplate
 #-----------------------------------------------------------------------------
-from __future__ import absolute_import, division, print_function, unicode_literals
 
 # Standard library imports
 import json
@@ -40,7 +39,7 @@
 )
 
 _module_name = "@bokeh/jupyter_bokeh"
-_module_version = "^1.2.0"
+_module_version = "^2.0.0"
 
 #-----------------------------------------------------------------------------
 # General API
@@ -93,7 +92,7 @@ def update_from_model(self, model):
     def _document_patched(self, event):
         if event.setter is self:
             return
-        msg = Protocol("1.0").create("PATCH-DOC", [event])
+        msg = Protocol().create("PATCH-DOC", [event])
 
         self.send({"msg": "patch", "payload": msg.header_json})
         self.send({"msg": "patch", "payload": msg.metadata_json})

package-lock.json

@@ -1,6 +1,6 @@
 {
   "name": "@bokeh/jupyter_bokeh",
-  "version": "1.2.0",
+  "version": "2.0.0",
   "description": "A Jupyter extension for rendering Bokeh content.",
   "author": "Bokeh Team <[email protected]>",
   "keywords": [

package.json

@@ -20,14 +20,15 @@ def run(self):
         self.spawn([npm, "run", "prepack"])
 
 install_requires = [
-    "bokeh >=1.3.4",
+    "bokeh >=2.0.0",
     "ipywidgets >=7.0.0",
 ]
 
 setup_args = dict(
     name="jupyter_bokeh",
-    version="1.2.0",
+    version="2.0.0",
     install_requires=install_requires,
+    python_requires=">=3.6",
     description="A Jupyter extension for rendering Bokeh content.",
     long_description=open("README.md").read(),
     long_description_content_type="text/markdown",