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Include What You Use--Jonathan Boccara

Did you know that tool?

Include What You Use

by Jonathan Boccara

From the article:

I’ve used the clang based include-what-you-use tool on a fairly large chunk of code — a couple of hundreds of files, containing dozens of includes each.

That was an interesting experiment.

Here are my takeaways on this powerful tool, what it can bring to your code, and a few things I wish I had known when I started using it...

C++ at the end of 2020--Bartlomiej Filipek

A summary of the year and the future.

C++ at the end of 2020

by Bartlomiej Filipek

From the article:

While 2020 was a crazy and hard year we were fortunate - C++20 was accepted and published, and the work on new features continues.

As usually every year, here’s my overview of the year: the standardization process, features, implementation, compilers, tools, books and more...

Firsts in 2020 (or, A little dose of good news)--Herb Sutter

A year full of accomplishments.

Firsts in 2020 (or, A little dose of good news)

by Herb Sutter

From the article:

2020 has been mostly terrible. That includes for the C++ committee and many of our communities, where just this month we lost Beman Dawes. Beman was one of the most important and influential C++ experts in the world, and made his many contributions mostly behind the scenes. I and everyone else who has ever benefited from any of the standardized STL, Boost, C++Now, std::filesystem, C++98/11/14/17, and more — so, really, most people who have ever used C++ — all owe Beman a debt of gratitude. We miss him greatly.

To end the year with a little dose of good news, I thought I’d mention a just few positive C++ accomplishments that did happen for 2020, and were happier “first-ever” achievements.

First, the big one…

Interactive C++ for Data Science--Vassil Vassilev, David Lange, Simeon Ehrig, Sylvain Corlay

Helping research.

Interactive C++ for Data Science

by Vassil Vassilev, David Lange, Simeon Ehrig, Sylvain Corlay

From the article:

In our previous blog post “Interactive C++ with Cling” we mentioned that exploratory programming is an effective way to reduce the complexity of the problem. This post will discuss some applications of Cling developed to support data science researchers. In particular, interactively probing data and interfaces makes complex libraries and complex data more accessible users. We aim to demonstrate some of Cling’s features at scale; Cling’s eval-style programming support; projects related to Cling; and show interactive C++/CUDA...