plotly · alexcjohnson · Nov 17, 2021 · Nov 16, 2021 · Nov 16, 2021 · Nov 16, 2021
@@ -4,7 +4,7 @@ This project adheres to [Semantic Versioning](https://semver.org/).
 
 ## [Unreleased]
 
-- [#1822](https://github.com/plotly/dash/pull/1822) Remove Radium from renderer dependencies, as part of investigating React 17 support.
+### Changed
 
 - [#1745](https://github.com/plotly/dash/pull/1745):
     Improve our `extras_require`: there are now five options here, each with a well-defined role:
@@ -14,9 +14,7 @@ This project adheres to [Semantic Versioning](https://semver.org/).
     - `dash[celery]`: required if you use `CeleryLongCallbackManager`
     - `dash[ci]`: mainly for internal use, these are additional requirements for the Dash CI tests, exposed for other component libraries to use a matching configuration.
 
-- [#1779](https://github.com/plotly/dash/pull/1779):
-    - Clean up our handling of serialization problems, including fixing `orjson` for Python 3.6
-    - Added the ability for `dash.testing` `percy_snapshot` methods to choose widths to generate.
+### Added
 
 - [#1763](https://github.com/plotly/dash/pull/1763):
     ## Dash and Dash Renderer
@@ -30,21 +28,21 @@ This project adheres to [Semantic Versioning](https://semver.org/).
 
     @dash.callback(Output(my_output, 'children'), Input(my_input, 'value'))
     def update(value):
-      return f'You have entered {value}'
+        return f'You have entered {value}'
     ```
 
     Or, if using Python >=3.8 you can use the `:=` walrus operator:
     ```python
     app.layout = html.Div([
-      my_input := dcc.Input(),
-      my_output := html.Div()
+        my_input := dcc.Input(),
+        my_output := html.Div()
     ])
 
     @dash.callback(Output(my_output, 'children'), Input(my_input, 'value'))
     def update(value):
-      return f'You have entered {value}'
-
+        return f'You have entered {value}'
     ```
+
     ## Dash Core Components
 
     ### Rearranged Keyword Arguments & Flexible Types
@@ -58,22 +56,23 @@ This project adheres to [Semantic Versioning](https://semver.org/).
 
     ```python
     dcc.Dropdown(
-      options=[
-        {'label': 'New York', 'value': 'New York'},
-        {'label': 'Montreal', 'value': 'Montreal'},
-      ],
-      value='New York'
+        options=[
+            {'label': 'New York', 'value': 'New York'},
+            {'label': 'Montreal', 'value': 'Montreal'},
+        ],
+        value='New York'
     )
-      ```
+    ```
+
     or
 
     ```python
     dcc.Dropdown(
-      options=[
-        {'label': 'New York', 'value': 'NYC'},
-        {'label': 'Montreal', 'value': 'MTL'},
-      ],
-      value='New York'
+        options=[
+            {'label': 'New York', 'value': 'NYC'},
+            {'label': 'Montreal', 'value': 'MTL'},
+        ],
+        value='New York'
     )
     ```
 
@@ -82,6 +81,7 @@ This project adheres to [Semantic Versioning](https://semver.org/).
     ```python
     dcc.Dropdown(['New York', 'Montreal'], 'New York')
     ```
+
     Or
 
     ```python
@@ -102,14 +102,19 @@ This project adheres to [Semantic Versioning](https://semver.org/).
     ```
 
     After:
+
     ```python
     dcc.Slider(min=1, max=3, step=1)
     ```
+
     Or equivalently:
+
     ```python
     dcc.Slider(1, 3, 1)
     ```
+
     Step can also be omitted and the `Slider` will attempt to create a nice, human readable  step with SI units and around 5 marks:
+
     ```python
     dcc.Slider(0, 100)
     ```
@@ -137,6 +142,7 @@ This project adheres to [Semantic Versioning](https://semver.org/).
     ```python
     dash_table.DataTable(data=df.to_dict('records'), columns=[{'name': i, 'id': i} for i in df.columns])
     ```
+
     After:
 
     ```python
@@ -153,6 +159,16 @@ This project adheres to [Semantic Versioning](https://semver.org/).
     dcc.Checklist(inline=True)
     ```
 
+### Fixed
+
+- [#1836](https://github.com/plotly/dash/pull/1836) Fix `__all__` in dcc and table for extras: dcc download helpers and table format helpers. This also restores this functionality to the obsolete top-level packages `dash_core_components` and `dash_table`.
+
+- [#1822](https://github.com/plotly/dash/pull/1822) Remove Radium from renderer dependencies, as part of investigating React 17 support.
+
+- [#1779](https://github.com/plotly/dash/pull/1779):
+    - Clean up our handling of serialization problems, including fixing `orjson` for Python 3.6
+    - Added the ability for `dash.testing` `percy_snapshot` methods to choose widths to generate.
+
 ## [2.0.0] - 2021-08-03
 
 ## Dash and Dash Renderer

@@ -6,24 +6,19 @@ This package provides the core React component suite for [Dash][].
 
 ## Development
 
-The `dash` package contains some tools to build components and drive the bundles build process.
-To avoid the circular dependency situation, we don't add `dash` as a required install in the `dash-core-components` setup.
-But, in order to do development locally, you need to install `dash` before everything.
-
-1. Install the dependencies with:
+This package is part of `dash`, and if you install `dash` in development mode with extras as below, you can develop in this portion as well.
+From the root of the `dash` repo:
 
 ```bash
-# it's recommended to install your python packages in a virtualenv
-# python 2
-$ pip install virtualenv --user && virtualenv venv && . venv/bin/activate
-# python 3
+# It's recommended to install your python packages in a virtualenv
+# As of dash 2.0, python 3 is required
 $ python -m venv venv && . venv/bin/activate
 
 # make sure dash is installed with dev and testing dependencies
-$ pip install dash[dev,testing]  # in some shells you need \ to escape []
+$ pip install -e .[dev,testing]  # in some shells you need \ to escape []
 
-# run the build process
-$ npm i --ignore-scripts && npm run build
+# run the build process - this will build all of dash, including dcc
+$ npm i && npm run build
 
 # install dcc in editable mode
 $ pip install -e .
@@ -46,22 +41,6 @@ npm test
         # Import dash_core_components to your layout, then run it:
         $ python my_dash_layout.py
 
-## Uninstalling python package locally
-
-```sh
-$ npm run uninstall-local
-```
-
-## Publishing
-
-There's an npm script that will handle publish, provided you have the right credentials. You can run it by running
-
-```sh
-$ npm run publish-all
-```
-
-See the [Publishing New Components/Features](CONTRIBUTING.md#publishing-new-componentsfeatures) section of the Contributing guide for step-by-step instructions on publishing new components.
-
 ## Dash Component Boilerplate
 
 See the [dash-component-boilerplate](https://github.com/plotly/dash-component-boilerplate) repo for more information.

@@ -4,14 +4,21 @@
 import dash as _dash
 
 from ._imports_ import *  # noqa: F401, F403, E402
-from ._imports_ import __all__  # noqa: E402
+from ._imports_ import __all__ as _components
 from .express import (  # noqa: F401, E402
     send_bytes,
     send_data_frame,
     send_file,
     send_string,
 )
 
+__all__ = _components + [
+    "send_bytes",
+    "send_data_frame",
+    "send_file",
+    "send_string",
+]
+
 _basepath = _os.path.dirname(__file__)
 _filepath = _os.path.abspath(_os.path.join(_basepath, "package-info.json"))
 with open(_filepath) as f:

@@ -23,7 +23,6 @@
     "test": "run-s -c lint test:intg test:pyimport",
     "test:intg": "pytest --nopercyfinalize --headless tests/integration",
     "test:pyimport": "python -m unittest tests/test_dash_import.py",
-    "uninstall-local": "pip uninstall dash-core-components -y",
     "prebuild:js": "cp node_modules/plotly.js/dist/plotly.min.js dash_core_components_base/plotly.min.js",
     "build:js": "webpack --mode production",
     "build:backends": "dash-generate-components ./src/components dash_core_components -p package-info.json && cp dash_core_components_base/** dash_core_components/ && dash-generate-components ./src/components dash_core_components -p package-info.json --r-prefix 'dcc' --r-suggests 'dash,dashHtmlComponents,jsonlite,plotly' --jl-prefix 'dcc' && black dash_core_components",

@@ -7,17 +7,16 @@ An interactive `DataTable` for [Dash](https://dash.plotly.com/).
 ## Quickstart
 
 ```
-pip install dash-table
+pip install dash
 ```
 
 ```python
-import dash
-import dash_table
+from dash import Dash, dash_table
 import pandas as pd
 
 df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/solar.csv')
 
-app = dash.Dash(__name__)
+app = Dash(__name__)
 
 app.layout = dash_table.DataTable(
     id='table',
@@ -41,7 +40,7 @@ This component was written from scratch in React.js and Typescript specifically
 
 DataTable was designed with a featureset that allows that Dash users to create complex, spreadsheet driven applications with no compromises. We're excited to continue to work with users and companies that [invest in DataTable's future](https://plotly.com/products/consulting-and-oem/).
 
-Please subscribe to [dash-table#207](https://github.com/plotly/dash-table/issues/207) and the [CHANGELOG.md](https://github.com/plotly/dash-table/blob/master/CHANGELOG.md) to stay up-to-date with any breaking changes. Note: DataTable is currently supported in Chrome, Firefox, Safari, Edge (version 15+), and Internet Explorer 11. 
+Note: DataTable is currently supported in Chrome, Firefox, Safari, Edge (version 15+), and Internet Explorer 11.
 
 Share your DataTable Dash apps on the [community forum](https://community.plotly.com/t/show-and-tell-community-thread/7554)!
 

@@ -14,10 +14,12 @@
     _sys.exit(1)
 
 from ._imports_ import *  # noqa: E402, F401, F403
-from ._imports_ import __all__  # noqa: E402
+from ._imports_ import __all__ as _components
 from . import Format  # noqa: F401, E402
 from . import FormatTemplate  # noqa: F401, E402
 
+__all__ = _components + ["Format", "FormatTemplate"]
+
 _basepath = _os.path.dirname(__file__)
 _filepath = _os.path.abspath(_os.path.join(_basepath, "package-info.json"))
 with open(_filepath) as f: