Update docs to reflect we no longer support 3.5

Also removed code that skipped black test for 3.5.

README.md

@@ -69,7 +69,7 @@ sqlite-utils: a Python library and CLI tool for building SQLite databases](https
 
     pip3 install datasette
 
-Datasette requires Python 3.5 or higher. We also have [detailed installation instructions](https://datasette.readthedocs.io/en/stable/installation.html) covering other options such as Docker.
+Datasette requires Python 3.6 or higher. We also have [detailed installation instructions](https://datasette.readthedocs.io/en/stable/installation.html) covering other options such as Docker.
 
 ## Basic usage
 

docs/contributing.rst

@@ -18,7 +18,7 @@ General guidelines
 Setting up a development environment
 ------------------------------------
 
-If you have Python 3.5 or higher installed on your computer (on OS X the easiest way to do this `is using homebrew <https://docs.python-guide.org/starting/install3/osx/>`__) you can install an editable copy of Datasette using the following steps.
+If you have Python 3.6 or higher installed on your computer (on OS X the easiest way to do this `is using homebrew <https://docs.python-guide.org/starting/install3/osx/>`__) you can install an editable copy of Datasette using the following steps.
 
 If you want to use GitHub to publish your changes, first `create a fork of datasette <https://github.com/simonw/datasette/fork>`__ under your own GitHub account.
 

docs/installation.rst

@@ -69,16 +69,19 @@ You can now run the new custom image like so::
 You can confirm that the plugins are installed by visiting
 http://127.0.0.1:8001/-/plugins
 
-
 Install using pip
 -----------------
 
-To run Datasette without Docker you will need Python 3.5 or higher.
+To run Datasette without Docker you will need Python 3.6 or higher.
 
 You can install Datasette and its dependencies using ``pip``::
 
     pip install datasette
 
+The last version to support Python 3.5 was 0.30.2 - you can install that version like so::
+
+    pip install datasette==0.30.2
+
 If you want to install Datasette in its own virtual environment, use this::
 
     python -mvenv datasette-venv

tests/test_black.py

@@ -1,3 +1,4 @@
+import black
 from click.testing import CliRunner
 from pathlib import Path
 import pytest
@@ -6,13 +7,7 @@ import sys
 code_root = Path(__file__).parent.parent
 
 
-@pytest.mark.skipif(
-    sys.version_info[:2] < (3, 6), reason="Black requires Python 3.6 or later"
-)
 def test_black():
-    # Do not import at top of module because Python 3.5 will not have it installed
-    import black
-
     runner = CliRunner()
     result = runner.invoke(
         black.main, [str(code_root / "tests"), str(code_root / "datasette"), "--check"]