Aug 25, 2022 · Aug 16, 2022 · Aug 24, 2022 · Aug 25, 2022
diff --git a/doc/devel/contributing.rst b/doc/devel/contributing.rst
 The project is hosted on
 https://github.com/matplotlib/matplotlib

 Contributor incubator
 =====================
 Get Connected
 =============

 Do I really have something to contribute to Matplotlib?
 -------------------------------------------------------

 If you are interested in becoming a regular contributor to Matplotlib, but
 don't know where to start or feel insecure about it, you can join our non-public
 communication channel for new contributors. To do so, please go to `gitter
 <https://gitter.im/matplotlib/matplotlib>`_ and ask to be added to '#incubator'.
 This is a private gitter room moderated by core Matplotlib developers where you can
 get guidance and support for your first few PRs.  This is a place you can ask questions
 about anything: how to use git, github, how our PR review process works, technical questions
 about the code, what makes for good documentation or a blog post, how to get involved involved
 in community work, or get "pre-review" on your PR.
 100% yes. There are so many ways to contribute to our community.

 When in doubt, we recommend going together! Get connected with our community of
 active contributors, many of whom felt just like you when they started out and
 are happy to welcome you and support you as you get to know how we work, and
 where things are. Take a look at the next sections to learn more.

 Contributor incubator
 ---------------------

 The incubator is our non-public communication channel for new contributors. It
 is a private gitter room moderated by core Matplotlib developers where you can
 get guidance and support for your first few PRs. It's a place you can ask
 questions about anything: how to use git, github, how our PR review process
 works, technical questions about the code, what makes for good documentation
 or a blog post, how to get involved in community work, or get
 "pre-review" on your PR.

 To join, please go to our public `gitter
 <https://gitter.im/matplotlib/matplotlib>`_ community channel, and ask to be
 added to '#incubator'. One of our core developers will see your message and will
 add you.

 New Contributors meeting
 ------------------------

 Once a month, we host a meeting to discuss topics that interest new
 contributors. Anyone can attend, present, or sit in and listen to the call.
 Among our attendees are fellow new contributors, as well as maintainers, and
 veteran contributors, who are keen to support onboarding of new folks and
 share their experience. You can find our community calendar link at the
 `Scientific Python website <https://scientific-python.org/calendars/>`_, and
 you can browse previous meeting notes on `github
 <https://github.com/matplotlib/ProjectManagement/tree/master/
 new_contributor_meeting>`_.
 We recommend joining the meeting to clarify any doubts, or lingering
 questions you might have, and to get to know a few of the people behind the
 GitHub handles 😉. You can reach out to @noatamir on `gitter
 <https://gitter.im/matplotlib/matplotlib>`_ for any clarifications or
 suggestions. We <3 feedback!

 .. _new_contributors:

 Issues for new contributors
 ---------------------------

 While any contributions are welcome, we have marked some issues as
 particularly suited for new contributors by the label
 `good first issue<https://github.com/matplotlib/matplotlib/labels/good%20first%20issue>`_
 Theseare well documented issues, that do not require a deep understanding of
 theinternals of Matplotlib. The issues may additionally be tagged with a
 difficulty. ``Difficulty: Easy`` is suited for people with little Python experience.
 ``Difficulty: Medium`` and ``Difficulty: Hard`` require more programming experience.
 This could be for a variety of reasons, among them, though not necessarily all at
 the same time:
 particularly suited for new contributors by the label `good first issue
 <https://github.com/matplotlib/matplotlib/labels/good%20first%20issue>`_. These
 are well documented issues, that do not require a deep understanding of the
 internals of Matplotlib. The issues may additionally be tagged with a
 difficulty. ``Difficulty: Easy`` is suited for people with little Python
 experience.``Difficulty: Medium`` and ``Difficulty: Hard`` require more
 programming experience.This could be for a variety of reasons, among them,
 though not necessarily all atthe same time:

 - The issue is in areas of the code base which have more interdependencies,
  or legacy code.
 - It has less clearly defined tasks, which require some independent
  exploration, making suggestions, or follow-up discussions to clarify a good path
  to resolve the issue.
  exploration, making suggestions, or follow-up discussions to clarify a good
 pathto resolve the issue.
 - It involves Python features such as decorators and context managers, which
  have subtleties due to our implementation decisions.
Original file line number	Diff line number	Diff line change
Expand Up		@@ -12,40 +12,73 @@ is expected to abide by our
		The project is hosted on
		https://github.com/matplotlib/matplotlib

		Contributor incubator
		=====================
		Get Connected
		=============

		Do I really have something to contribute to Matplotlib?
		-------------------------------------------------------

		If you are interested in becoming a regular contributor to Matplotlib, but
		don't know where to start or feel insecure about it, you can join our non-public
		communication channel for new contributors. To do so, please go to `gitter
		<https://gitter.im/matplotlib/matplotlib>`_ and ask to be added to '#incubator'.
		This is a private gitter room moderated by core Matplotlib developers where you can
		get guidance and support for your first few PRs. This is a place you can ask questions
		about anything: how to use git, github, how our PR review process works, technical questions
		about the code, what makes for good documentation or a blog post, how to get involved involved
		in community work, or get "pre-review" on your PR.
		100% yes. There are so many ways to contribute to our community.

		When in doubt, we recommend going together! Get connected with our community of
		active contributors, many of whom felt just like you when they started out and
		are happy to welcome you and support you as you get to know how we work, and
		where things are. Take a look at the next sections to learn more.

		Contributor incubator
		---------------------

		The incubator is our non-public communication channel for new contributors. It
		is a private gitter room moderated by core Matplotlib developers where you can
		get guidance and support for your first few PRs. It's a place you can ask
		questions about anything: how to use git, github, how our PR review process
		works, technical questions about the code, what makes for good documentation
		or a blog post, how to get involved in community work, or get
		"pre-review" on your PR.

		To join, please go to our public `gitter
		<https://gitter.im/matplotlib/matplotlib>`_ community channel, and ask to be
		added to '#incubator'. One of our core developers will see your message and will
		add you.

		New Contributors meeting
		------------------------

		Once a month, we host a meeting to discuss topics that interest new
		contributors. Anyone can attend, present, or sit in and listen to the call.
		Among our attendees are fellow new contributors, as well as maintainers, and
		veteran contributors, who are keen to support onboarding of new folks and
		share their experience. You can find our community calendar link at the
		`Scientific Python website <https://scientific-python.org/calendars/>`_, and
		you can browse previous meeting notes on `github
		<https://github.com/matplotlib/ProjectManagement/tree/master/
		new_contributor_meeting>`_.
		We recommend joining the meeting to clarify any doubts, or lingering
		questions you might have, and to get to know a few of the people behind the
		GitHub handles 😉. You can reach out to @noatamir on `gitter
		<https://gitter.im/matplotlib/matplotlib>`_ for any clarifications or
		suggestions. We <3 feedback!

		.. _new_contributors:

		Issues for new contributors
		---------------------------

		While any contributions are welcome, we have marked some issues as
		particularly suited for new contributors by the label
		`good first issue<https://github.com/matplotlib/matplotlib/labels/good%20first%20issue>`_
		Theseare well documented issues, that do not require a deep understanding of
		theinternals of Matplotlib. The issues may additionally be tagged with a
		difficulty. ``Difficulty: Easy`` is suited for people with little Python experience.
		``Difficulty: Medium`` and ``Difficulty: Hard`` require more programming experience.
		This could be for a variety of reasons, among them, though not necessarily all at
		the same time:
		particularly suited for new contributors by the label `good first issue
		<https://github.com/matplotlib/matplotlib/labels/good%20first%20issue>`_. These
		are well documented issues, that do not require a deep understanding of the
		internals of Matplotlib. The issues may additionally be tagged with a
		difficulty. ``Difficulty: Easy`` is suited for people with little Python
		experience.``Difficulty: Medium`` and ``Difficulty: Hard`` require more
		programming experience.This could be for a variety of reasons, among them,
		though not necessarily all atthe same time:

		- The issue is in areas of the code base which have more interdependencies,
		or legacy code.
		- It has less clearly defined tasks, which require some independent
		exploration, making suggestions, or follow-up discussions to clarify a good path
		to resolve the issue.
		exploration, making suggestions, or follow-up discussions to clarify a good
		pathto resolve the issue.
		- It involves Python features such as decorators and context managers, which
		have subtleties due to our implementation decisions.

Expand Down