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Image14_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.JPEG
Published 2022“…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
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Image11_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.PNG
Published 2022“…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
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Image8_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.PNG
Published 2022“…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
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Image2_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.PNG
Published 2022“…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
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Image3_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.PNG
Published 2022“…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
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Image13_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.JPEG
Published 2022“…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
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Image5_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.PNG
Published 2022“…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
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Image9_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.PNG
Published 2022“…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
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Image4_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.PNG
Published 2022“…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
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Image6_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.PNG
Published 2022“…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
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Image1_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.PNG
Published 2022“…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
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Image7_Wave-particle interactions toolset: A python-based toolset to model wave-particle interactions in the magnetosphere.PNG
Published 2022“…WPIT incorporates key routines related to wave-particle interactions in Python modules and also in Jupyter Notebook environment, enabling the traceability of all relevant equations in terms of their derivation and key assumptions, together with the programming environment and integrated graphics that enable users to conduct state-of-the-art wave-particle interaction simulations rapidly and efficiently. …”
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Assessing Students' Self-Perceived Growth in Python Skills, Data Science Skills, Data Science Communication Skills, Science Practices & Science Identity: An Examination of the Eart...
Published 2022“…EDSC engages participants with fundamental Python programming tools and packages (pandas, numpy, matplotlib), along with resources to work with time- series, and vector and raster spatial data (earthpy, geopandas, rioxarray) in the context of EDS. …”
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Not All local LLMs Are Equal: A Benchmark of Energy and Performance
Published 2025“…However, installing these specific versions is not mandatory:<br><br>```bash<br>bash scripts/install_prerequisites.sh<br>```<br><br>#### Dependencies<br><br>1. Install all Python libraries listed in `requirements.txt` using a virtual environment (e.g., named `env`):<br><br>```bash<br># Create a virtual environment named 'env'<br>python3 -m venv env<br><br># Activate the virtual environment<br>source env/bin/activate<br><br># Install the required Python libraries<br>pip3 install -r requirements.txt<br>```<br><br>For `llama-cpp-python` installation with CPU support (used in this paper), execute:<br><br>```bash<br>CMAKE_ARGS="-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS" pip3 install llama-cpp-python<br>```<br><br>For other hardware acceleration backends, refer to the [llama-cpp-python documentation](<u>https://github.com/abetlen/llama-cpp-python?…”
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The artifacts and data for the paper "DD4AV: Detecting Atomicity Violations in Interrupt-Driven Programs with Guided Concolic Execution and Filtering" (OOPSLA 2025)
Published 2025“…<p dir="ltr">DD4AV is a dynamically controlled scheduling testing tool that explores possible interleavings of interrupt-driven programs to detect atomicity violations. This repository provides the tool and evaluation subjects for the paper "DD4AV: Detecting Atomicity Violations in Interrupt-Driven Programs with Guided Concolic Execution and Filtering<br>."…”
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POLYFUZZ: Holistic Greybox Fuzzing of Multi-Language Systems
Published 2022“…</p> <p>An [example](https://github.com/Daybreak2019/xFuzz/tree/main/benchmarks/script/multi-benches/Pillow) for Python-C program</p> <p><br></p> <p>#### 3.3 Steps for fuzzing Java-C programs</p> <p>```</p> <p>java -cp .…”
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