Removed obsolete versions in documentation

README.rst

@@ -2,7 +2,7 @@ OAuthLib - Python Framework for OAuth1 & OAuth2
 ===============================================
 
 *A generic, spec-compliant, thorough implementation of the OAuth request-signing
-logic for Python 3.6+.*
+logic for Python 3.8+*
 
 .. image:: https://github.com/oauthlib/oauthlib/actions/workflows/python-build.yml/badge.svg
   :target: https://github.com/oauthlib/oauthlib/actions

docs/contributing.rst

@@ -152,8 +152,8 @@ request that fails this test suite will be **rejected**.
 Testing multiple versions of Python
 -----------------------------------
 
-OAuthLib supports Python 3.5, 3.6, 3.7 and PyPy 2.7 & PyPy 3. Testing
-all versions conveniently can be done using `Tox`_.
+OAuthLib supports Python 3.8+ & PyPy 3. Testing
+all versions conveniently at once can be done using `Tox`_.
 
 .. sourcecode:: bash
 
@@ -167,11 +167,10 @@ The versions beloew may not be up to date.
 
 .. sourcecode:: bash
 
-   $ pyenv install 3.5.7
-   $ pyenv install 3.6.9
-   $ pyenv install 3.7.4
-   $ pyenv install pypy2.7-7.1.1
-   $ pyenv install pypy3.6-7.1.1
+   $ pyenv install -l # check which versions you want to use
+   $ pyenv install 3.8.18
+   $ pyenv install 3.11.7
+   $ pyenv install pypy3.10-7.3.13
 
 .. _`Tox`: https://tox.readthedocs.io/en/latest/install.html
 .. _`virtualenv`: https://virtualenv.pypa.io/en/latest/installation/

docs/oauth1/security.rst

@@ -17,7 +17,7 @@ A few important facts regarding OAuth security
     * **Tokens must be random**, OAuthLib provides a method for generating
         secure tokens and it's packed into ``oauthlib.common.generate_token``,
         use it. If you decide to roll your own, use ``secrets.SystemRandom``
-        for Python 3.6 and later. The ``secrets`` module is designed for
+        for Python 3.8 and later. The ``secrets`` module is designed for
         generating cryptographically strong random numbers. For earlier versions
         of Python, use ``random.SystemRandom`` which is based on ``os.urandom``
         rather than the default ``random`` based on the efficient but not truly