Python Programming Language
By G. Rossum. USENIX Annual Technical Conference, 2007
1,406 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/7a8986432b6359f6834dc561dfea42d023c0b806
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Citations in the corpus
- Helios: Web-based Open-Audit Voting (2008, methodology): “The Helios back-end is a Web application written in the Python programming language [17], running inside the CherryPy 3.”
- QuTiP: An open-source Python framework for the dynamics of open quantum systems (2011, unknown): “∗Corresponding authors Email addresses: robert@riken.jp (J. R. Johansson), pnation@riken.jp (P. D. Nation) 1These authors contributed equally to this work.”
- Flexible Self-Organizing Maps in kohonen 3.0 (2018, methodology): “Finally, a very recent publication introduced the somoclu package (Wittek, Gao, Lim, and Zhao 2017), providing a general toolbox for training SOMs with support for cluster and GPU computations, and interfaces to Python (Van Rossum et al. 2011), MATLAB (The MathWorks Inc. 2017) and R .”
- Ten quick tips for machine learning in computational biology (2017, methodology): “For these and other reasons, we advice you to work only with free open source machine learning software packages and platforms, such as R [46], Python [47], Torch [48], and Weka [49].”
- SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python (2019, background): “…of the SciPy library narrowed, while the breadth of the eco-system grew through a new type of auxiliary package: the scikit (https://www.scipy.org/scikits.html), a complementary library developed outside SciPy, allowing for more rapid exploration of experimental ideas while maintaining familiar…”
- PyCUDA and PyOpenCL: A scripting-based approach to GPU run-time code generation (2009, methodology): “As already suggested by their naming, PyCUDA connects the high-level Python programming language [49] with the Nvidia CUDA compute abstraction [33], and PyOpenCL connects Python with the OpenCL [14] industry standard compute abstraction.”
- PaCAL: A Python Package for Arithmetic Computations with Random Variables (2014, methodology): “Afterward, the standard command for installation of Python packages needs to be executed in the package directory: python setup.py install”