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Removed words that minimize involved difficulty, closes #1089
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10 changed files with 19 additions and 19 deletions
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@ -19,7 +19,7 @@ General guidelines
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Setting up a development environment
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------------------------------------
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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.
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If you have Python 3.6 or higher installed on your computer (on OS X the quickest 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.
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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.
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@ -27,7 +27,7 @@ Now clone that repository somewhere on your computer::
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git clone git@github.com:YOURNAME/datasette
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If you just want to get started without creating your own fork, you can do this instead::
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If you want to get started without creating your own fork, you can do this instead::
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git clone git@github.com:simonw/datasette
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@ -47,9 +47,9 @@ Once you have done this, you can run the Datasette unit tests from inside your `
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pytest
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To run Datasette itself, just type ``datasette``.
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To run Datasette itself, type ``datasette``.
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You're going to need at least one SQLite database. An easy way to get started is to use the fixtures database that Datasette uses for its own tests.
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You're going to need at least one SQLite database. A quick way to get started is to use the fixtures database that Datasette uses for its own tests.
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You can create a copy of that database by running this command::
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