Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Update the nbr of strategies in first page of docs #1321

Merged
merged 2 commits into from
Apr 8, 2020
Merged

Update the nbr of strategies in first page of docs #1321

Changes from 1 commit
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
ad9fb81
Update the nbr of strategies in first page of docs
drvinceknight Apr 8, 2020
66043d9
Reword.
drvinceknight Apr 8, 2020
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion docs/index.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@ Welcome to the documentation for the Axelrod Python library

Here is quick overview of the current capabilities of the library:

* Over 100 strategies from the literature and some exciting original
* Over 230 strategies including from the literature and some exciting original
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

including many?

I had a thought that we could add a classifier, something like "from a publication" (not necessary for this PR, of course).

Copy link
Member Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

including many?

Thank you! Much better.

I had a thought that we could add a classifier, something like "from a publication" (not necessary for this PR, of course).

Not a bad idea and relatively straightforward with @gaffney2010 recent classifier work 👍

contributions

* Classic strategies like TiT-For-Tat, WSLS, and variants
Expand Down