Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Pivarski Jim"'
Autor:
Gál Tamás, Gras Philippe, Hegner Benedikt, Hernandez Acosta Uwe, Kluth Stefan, Ling Jerry, Mato Pere, Moreno Alexander, Pivarski Jim, Schulz Oliver, Stewart Graeme, Strube Jan, Vasilev Vasil
Publikováno v:
EPJ Web of Conferences, Vol 295, p 05008 (2024)
The Julia programming language was created 10 years ago and is now a mature and stable language with a large ecosystem including more than 8,000 third-party packages. It was designed for scientific programming to be a high-level and dynamic language
Externí odkaz:
https://doaj.org/article/faf466e2eb4b40a3ae34ca1fe6f7bb58
Publikováno v:
EPJ Web of Conferences, Vol 295, p 06003 (2024)
Awkward Array is a library for performing NumPy-like computations on nested, variable-sized data, enabling array-oriented programming on arbitrary data structures in Python. However, imperative (procedural) solutions can sometimes be easier to write
Externí odkaz:
https://doaj.org/article/7319cd27afaf4a83b84860371d5f065b
Autor:
Alshehri, Azzah, Bürger, Jan, Chopra, Saransh, Eich, Niclas, Eppelt, Jonas, Erdmann, Martin, Eschle, Jonas, Fackeldey, Peter, Farkas, Maté, Feickert, Matthew, Fillinger, Tristan, Fischer, Benjamin, Gerlach, Lino Oscar, Hartmann, Nikolai, Heidelbach, Alexander, Held, Alexander, Ivanov, Marian I, Molina, Josué, Nikitenko, Yaroslav, Osborne, Ianna, Padulano, Vincenzo Eduardo, Pivarski, Jim, Praz, Cyrille, Rieger, Marcel, Rodrigues, Eduardo, Shadura, Oksana, Smieško, Juraj, Stark, Giordon Holtsberg, Steinfeld, Judith, Warkentin, Angela
The second PyHEP.dev workshop, part of the "Python in HEP Developers" series organized by the HEP Software Foundation (HSF), took place in Aachen, Germany, from August 26 to 30, 2024. This gathering brought together nearly 30 Python package developer
Externí odkaz:
http://arxiv.org/abs/2410.02112
In some fields, scientific data formats differ across experiments due to specialized hardware and data acquisition systems. Researchers need to develop, document, and maintain experiment-specific analysis software to interact with these data formats.
Externí odkaz:
http://arxiv.org/abs/2407.14461
In the realm of scientific computing, both Julia and Python have established themselves as powerful tools. Within the context of High Energy Physics (HEP) data analysis, Python has been traditionally favored, yet there exists a compelling case for mi
Externí odkaz:
http://arxiv.org/abs/2404.18170
Awkward Array is a library for performing NumPy-like computations on nested, variable-sized data, enabling array-oriented programming on arbitrary data structures in Python. However, imperative (procedural) solutions can sometimes be easier to write
Externí odkaz:
http://arxiv.org/abs/2310.01461
Publikováno v:
EPJ Web of Conferences, Vol 251, p 03002 (2021)
File formats for generic data structures, such as ROOT, Avro, and Parquet, pose a problem for deserialization: it must be fast, but its code depends on the type of the data structure, not known at compile-time. Just-in-time compilation can satisfy bo
Externí odkaz:
https://doaj.org/article/f6557b42090f449084eae9cef42177af
Autor:
Rodrigues Eduardo, Krikler Benjamin, Burr Chris, Smirnov Dmitri, Dembinski Hans, Schreiner Henry, Nandi Jaydeep, Pivarski Jim, Feickert Matthew, Marinangeli Matthieu, Smith Nick, Das Pratyush
Publikováno v:
EPJ Web of Conferences, Vol 245, p 06028 (2020)
Scikit-HEP is a community-driven and community-oriented project with the goal of providing an ecosystem for particle physics data analysis in Python. Scikit-HEP is a toolset of approximately twenty packages and a few “affiliated” packages. It exp
Externí odkaz:
https://doaj.org/article/82a015d79b554243ad2ec893c4887d66
Publikováno v:
EPJ Web of Conferences, Vol 245, p 05014 (2020)
Boost.Histogram, a header-only C++14 library that provides multidimensional histograms and profiles, became available in Boost 1.70. It is extensible, fast, and uses modern C++ features. Using template metaprogramming, the most efficient code path fo
Externí odkaz:
https://doaj.org/article/46240ad978d44639b4a6b5d9d0c58f8c
Publikováno v:
EPJ Web of Conferences, Vol 245, p 05023 (2020)
The Awkward Array library has been an important tool for physics analysis in Python since September 2018. However, some interface and implementation issues have been raised in Awkward Array’s first year that argue for a reimplementation in C++ and
Externí odkaz:
https://doaj.org/article/56cb9d3c61b04b13b23187512537b47c