Where: Building 4, 5220
Credit: 12
Description
A whirlwind tutorial of the basics of the Python programming language. This course also covers a bit of IPython and Jupyter but just enough to make learners comfortable with these programming environments prior to tackling the more advanced materials.
PGDip students must successfully complete the Micro-Credential in Python, offered as part of WEP, to receive a Satisfactory (S) grade.
David Pugh
I am an Instructional Assistant Professor in CEMSE at KAUST, and an experienced research software engineer and data scientist. I am also currently directing the SDAIA-KAUST Center of Excellence in Data Science and Artificial Intelligence (SDAIA-KAUST AI) where I work to match applied AI problems of interest to SDAIA with AI solutions developed at KAUST. I have a deep knowledge of the core data science Python stack: NumPy, SciPy, Pandas, Matplotlib, NetworkX, Jupyter, Scikit-Learn, PyTorch
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