Updating documentation

Author: datapythonista

doc/source/development/contributing.rst

@@ -236,7 +236,7 @@ Creating a Python environment (pip)
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 If you aren't using conda for your development environment, follow these instructions.
-You'll need to have at least python3.5 installed on your system.
+You'll need to have at least Python 3.6 installed on your system.
 
 .. code-block:: none
 
@@ -818,29 +818,6 @@ The limitation here is that while a human can reasonably understand that ``is_nu
 
 With custom types and inference this is not always possible so exceptions are made, but every effort should be exhausted to avoid ``cast`` before going down such paths.
 
-Syntax Requirements
-~~~~~~~~~~~~~~~~~~~
-
-Because *pandas* still supports Python 3.5, :pep:`526` does not apply and variables **must** be annotated with type comments. Specifically, this is a valid annotation within pandas:
-
-.. code-block:: python
-
-   primes = []  # type: List[int]
-
-Whereas this is **NOT** allowed:
-
-.. code-block:: python
-
-   primes: List[int] = []  # not supported in Python 3.5!
-
-Note that function signatures can always be annotated per :pep:`3107`:
-
-.. code-block:: python
-
-   def sum_of_primes(primes: List[int] = []) -> int:
-       ...
-
-
 Pandas-specific Types
 ~~~~~~~~~~~~~~~~~~~~~
 
@@ -1267,7 +1244,7 @@ environment by::
 
 or, to use a specific Python interpreter,::
 
-    asv run -e -E existing:python3.5
+    asv run -e -E existing:python3.6
 
 This will display stderr from the benchmarks, and use your local
 ``python`` that comes from your ``$PATH``.

doc/source/development/policies.rst

@@ -51,7 +51,7 @@ Pandas may change the behavior of experimental features at any time.
 Python Support
 ~~~~~~~~~~~~~~
 
-Pandas will only drop support for specific Python versions (e.g. 3.5.x, 3.6.x) in
+Pandas will only drop support for specific Python versions (e.g. 3.6.x, 3.7.x) in
 pandas **major** releases.
 
 .. _SemVer: https://semver.org

doc/source/getting_started/dsintro.rst

@@ -564,53 +564,6 @@ to a column created earlier in the same :meth:`~DataFrame.assign`.
 In the second expression, ``x['C']`` will refer to the newly created column,
 that's equal to ``dfa['A'] + dfa['B']``.
 
-To write code compatible with all versions of Python, split the assignment in two.
-
-.. ipython:: python
-
-   dependent = pd.DataFrame({"A": [1, 1, 1]})
-   (dependent.assign(A=lambda x: x['A'] + 1)
-             .assign(B=lambda x: x['A'] + 2))
-
-.. warning::
-
-   Dependent assignment may subtly change the behavior of your code between
-   Python 3.6 and older versions of Python.
-
-   If you wish to write code that supports versions of python before and after 3.6,
-   you'll need to take care when passing ``assign`` expressions that
-
-   * Update an existing column
-   * Refer to the newly updated column in the same ``assign``
-
-   For example, we'll update column "A" and then refer to it when creating "B".
-
-   .. code-block:: python
-
-      >>> dependent = pd.DataFrame({"A": [1, 1, 1]})
-      >>> dependent.assign(A=lambda x: x["A"] + 1, B=lambda x: x["A"] + 2)
-
-   For Python 3.5 and earlier the expression creating ``B`` refers to the
-   "old" value of ``A``, ``[1, 1, 1]``. The output is then
-
-   .. code-block:: console
-
-         A  B
-      0  2  3
-      1  2  3
-      2  2  3
-
-   For Python 3.6 and later, the expression creating ``A`` refers to the
-   "new" value of ``A``, ``[2, 2, 2]``, which results in
-
-   .. code-block:: console
-
-         A  B
-      0  2  4
-      1  2  4
-      2  2  4
-
-
 
 Indexing / selection
 ~~~~~~~~~~~~~~~~~~~~

doc/source/getting_started/install.rst

@@ -18,7 +18,7 @@ Instructions for installing from source,
 Python version support
 ----------------------
 
-Officially Python 3.5.3 and above, 3.6, 3.7, and 3.8.
+Officially Python 3.6 and above, 3.7, and 3.8.
 
 Installing pandas
 -----------------
@@ -140,7 +140,7 @@ Installing with ActivePython
 Installation instructions for
 `ActivePython <https://www.activestate.com/activepython>`__ can be found
 `here <https://www.activestate.com/activepython/downloads>`__. Versions
-2.7 and 3.5 include pandas.
+2.7, 3.5 and 3.6 include pandas.
 
 Installing using your Linux distribution's package manager.
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

doc/source/whatsnew/v1.0.0.rst

@@ -3,6 +3,10 @@
 What's new in 1.0.0 (??)
 ------------------------
 
+.. warning::
+
+   Starting with the 1.x series of releases, pandas only supports Python 3.6 and higher.
+
 New Deprecation Policy
 ~~~~~~~~~~~~~~~~~~~~~~