Cpp

C++26 is done (technically complete March 2026, publication expected later this year), so let’s explore the new features in C++, from a data science point of view. This is the biggest release since C++11; in fact, one feature might be the biggest single feature ever. Reflection means C++ now understands itself without macros or hacks; it’s also one of the first mainstream compiled languages to have full static reflection (Rust has syntactic macros, but not true reflection; D, zig, and C# have reflection). Contracts finally landed after 20+ years of attempts; the async model (std::execution) and data-parallel types (std::simd, std::linalg) are also big additions.

Standard stuff from previous releases is also continuing to improve. Much more constexpr, more ranges, mdspan grows sub-views, formatting keeps improving. Plus memory-safety improvements (erroneous behavior, hardened standard library).

C++23 is complete and pretty much finalized, so let’s explore the new features in C++, from a data science point of view. This is not as large of a release as C++20 or C++11, but it’s still a hefty release with lots of nice new features - larger than C++17.

Some of the major new features are building on themes from C++20, such as vastly expanded ranges and views, more constexpr/consteval, module support for the standard library, std::print to supplement std::format, and a std::generator to support coroutines. There are also several general features, lambdas and classes get along much better now, there are new preprocessor additions (!), a stacktrace library, flat maps/sets, and new std::optional monadics, deducing this, and many various additions.

CLI11, a powerful library for writing beautiful command line interfaces in C++11, has been updated to 2.0. A lot of deprecated things have been removed, and there was a lot of cleanup under-the-hood; making CLI11 simpler. A few defaults have changed slightly, like better TOML support by default.

CLI11 does a better job than ever understanding any sort of container you provide - complex numbers are natively supported, along with atomic types. A long requested feature, simple version flags, has been added. Subcommands are more customizable. And there have been quite a few bugfixes for rare issues.

The final meeting for new features in C++ is over, so let’s explore the new features in C++, from a data science point of view. This is the largest release of C++ since C++11, and when you consider C++14 and C++17 to be interim releases, the entire 9 year cycle is possibly the largest yet! It may not feel quite as massive as C++11, since we didn’t have interim releases for C++11 and because C++11 is a much more complete, useful language than C++03, but this is still a really impactful release! This is also the first version to include every major feature from Bjarne Stroustrup’s “The Design and Evolution of C++”, also known as D&E, from 1994!

Let’s look at the major new features, as well as collections of smaller ones.

Let’s try a non-trivial example of a binding: Minuit2 (6.14.0 standalone edition).

This was originally given as a PyHEP 2018 talk. It is designed to be interactive, and can be run in SWAN if you have a CERN account. If you want to run it manually, just download the repository: github.com/henryiii/pybindings_cc. It is easy to run in Anaconda.

CLI11, a powerful library for writing beautiful command line interfaces in C++11, has been updated to 1.6, the largest update ever. CLI11 output is more customizable than ever, and has a better functionality separation under the hood.

CLI11 has had the formatting system completely redesigned, with minor or complete customization of the output possible. Configuration file reading and writing also can be configured; a new example with json instead of ini formatting is included. Validators (finally) have custom help output, as well. Many odd corner cases have been made possible, such as interleaving options.

GooFit 2.1 introduces the full-featured Python bindings to GooFit. These bindings mimic the C++ usage of GooFit, including bindings for all PDFs, and also provide NumPy-centric conversions, live Jupyter notebook printing, pip install, and more. Most of the examples in C++ are provided in Python form, as well.

Several other API changes were made. Observables are now distinguished from Variables and provided as a separate class. Both these classes are now passed around by copy everywhere.¹ The three and four body amplitude classes have been refactored and simplified. OpenMP is now supported via homebrew on macOS; GooFit is one of the only packages that currently can build with OpenMP on the default macOS compiler. Eigen is now available, and CLI11 has been updated to version 1.3.

GooFit 2.1 will receive continuing support while development on GooFit 2.2 presses on with a new indexing scheme for PDFs.