Scientific Computing and Data Science is an interdisciplinary field that harnesses the power of computational methods and algorithms to solve complex scientific problems and analyze large datasets. It encompasses a variety of techniques in machine learning, deep learning, data visualization, and simulations, primarily implemented using languages such as Python and Julia. This area plays a pivotal role in advancing knowledge across many scientific domains including physics, astronomy, and neuroscience, utilizing tools like Jupyter for interactive programming and visualization.