Sam Mao.
Building beautiful applications that just work.
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I am a research assistant professor at Florida A&M University-Florida State University and National High Magnetic Field Laboratory. I am a data scientist developing LLM and virtual assistant, data visualization and deep learning tools for characterization at multi-length/time scales. My projects are majorly funded by the Department of Energy (DOE) and National Science Foundation (NSF) including access to DOE user facilities such as ORNL Leadership Class Computing Facility (OLCF), Nanoscale Science Research Centers (NSRCs), High Flux Isotope Reactor (HFIR), Spallation Neutron Source (SNS), The Advanced Photon Source (APS) and Nuclear Science User Facility (NSUF).
Python, CSS3, Git, Bootstrap, JavaScript, HTML5, SQL
Robin’s web app is looking good and functioning well, but she wanted to add more polish to it. She had been admiring images of Mars’ hemispheres and realized that the site is scraping-friendly. She would like to adjust the current web app to include all four of the hemispheres images. This requires additional scraping code to pull the high-resolution images, updating Mongo to include the new data, and altering the design of her web app to accommodate these images.
Code Live Demo
General function to load all three data files: Wikipedia data Kaggle metadata MovieLens rating data (from Kaggle). Multiple functions perform all of the transformation steps. Remove the existing data from SQL, but keep the empty tables and then load dataframe into PostgreSQL. try-except blocks were used account for unforeseen problems that may arise with new data.
Code Live Demo
