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  3. Parallel Programming & Code Development
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Parallel Scripting in Python with Parsl (Jan 2025)
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Porting Singularity Containers across HPCMP Systems (Sep 2025)
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Julia and Machine Learning (ML) (Nov 2024)
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Ray: A Framework for Scalable Python and AI/ML Applications (Aug 2024)
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Introduction to R Programming for HPC (May 2024)
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Fortran for MATLAB Users (May 2024)
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Building Parallel Applications in Modern Fortran (Apr 2024)
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GNU Parallel: a Command-line tool for Embarrassingly Parallel Jobs (Nov 2025)
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Julia Programming + CUDA (Nov 2023)
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Introduction to CuPy (Aug 2022)
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Julia Programming + MPI (Dec 2021)
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Scalable Machine Learning in Python with Dask (Oct 2021)
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F2Py - An interface between Fortran and Python (Sep 2021)
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Intermediate Pandas Data Analysis Library for Python (Jan 2021)
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MPI4Py: Parallel Programming in Python (Jan 2021)
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Run Python at the Speed of C: Introduction to Cython (Dec 2020)
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PyPy - An Alternative High-Performance Python Interpreter (Dec 2020)
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Introduction to Dask: Scalable Analytics in Python (Nov 2020)
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Introduction to Numba: A Just-in-Time Compiler for Python (Nov 2020)
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Intrinsic Parallel Capabilities in Modern Fortran (Apr 2023)
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