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Refs #25584 -- Corrected note about source of SyntaxErrors when installing Django 1.9.

This commit is contained in:
Tim Graham 2015-12-05 16:28:29 -05:00
parent d638cdc42a
commit f5af68ba68
2 changed files with 10 additions and 9 deletions
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13
docs/releases/1.9.txt
View File

@ -1012,12 +1012,12 @@ a Django application with this structure::
jquery.js
jquery.min.js
.. _syntax-error-old-pip-django-19:
.. _syntax-error-old-setuptools-django-19:
``SyntaxError`` when installing Django with pip ≤ 1.5.6
``SyntaxError`` when installing Django setuptools 5.5.x
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
When installing Django 1.9+ with pip ≤ 1.5.6, you'll see::
When installing Django 1.9+ with setuptools 5.5.x, you'll see::
Compiling django/conf/app_template/apps.py ...
File "django/conf/app_template/apps.py", line 4
@ -1031,9 +1031,10 @@ When installing Django 1.9+ with pip ≤ 1.5.6, you'll see::
^
SyntaxError: invalid syntax
It's safe to ignore these errors (Django will still install just fine), and you
can avoid them by upgrading pip to a more recent version using
``pip install -U pip``.
It's safe to ignore these errors (Django will still install just fine), but you
can avoid them by upgrading setuptools to a more recent version. If you're
using pip, you can upgrade pip using ``pip install -U pip`` which will also
upgrade setuptools.
Miscellaneous
~~~~~~~~~~~~~

6
docs/topics/install.txt
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@ -164,9 +164,9 @@ This is the recommended way to install Django.
1. Install pip_. The easiest is to use the `standalone pip installer`_. If your
distribution already has ``pip`` installed, you might need to update it if
it's outdated. (If it's outdated, you'll know because installation won't
work. You might see some :ref:`harmless SyntaxErrors
<syntax-error-old-pip-django-19>` also.)
it's outdated. If it's outdated, you'll know because installation won't
work. If you're using an old version of setuptools, you might see some
:ref:`harmless SyntaxErrors <syntax-error-old-setuptools-django-19>` also.
2. Take a look at virtualenv_ and virtualenvwrapper_. These tools provide
isolated Python environments, which are more practical than installing