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System information

• TensorFlow version (you are using): 2.1
• Are you willing to contribute it (Yes/No): No

(e.g. for links and images), because some of these examples are now being rendered in the docs.

Added by @fchollet in requests for contributions.

During debugging I've seen many constructs like list(map(lambda i: torch.device('cuda:' + str(i)), gpus))

I'd propose to replace those by "regular" list comprehensions. So the above is equivalent to [torch.device('cuda:' + str(i)) for i in gpus]

This replacement can be automated via regexp replacement for (likely) almost all cases.

Reasoning: The nesting of parentheses and the inline

Describe the issue linked to the documentation

In the section "Pull Request Checklist", this is how the text appears

A moderate use of type annotations is encouraged but is not mandatory. See [mypy quickstart](https://mypy.readthedocs.io/en/latest/getting_started.html) for an introduction, as well as [pandas contributing documentation]( https://pandas.pydata.org/pandas-docs/stabl

Recent discussions on Discourse suggest that not all users know about apropos (or equivalently, using ?"..." for text search). The startup message currently mentions

Type "?" for help, "]?" for Pkg help.

I suggest that text search is added to this, but I am still looking for a compact way of phrasing it.

Currently, the C++ compiler generates lots of warnings: https://xgboost-ci.net/blue/organizations/jenkins/xgboost/detail/master/516/pipeline/61. It would be great to reduce the number of warnings.

Note to new contributors: Post a comment here if you'd like to work on this issue. Feel free to ping me for help.