Journal 39
April 29 - May 5 FINALLY the long awaited data science class has begun! I am sure my peers in my cohort are tired of hearing me talk about it by now, but I have been anxiously awaiting for this course to begin, as I hope to go into the field of data science after graduation. This first week was my official, formal introduction to data science, though I have researched various parts of it previously. Before this class began, I had limited experience with coding in Python, I had only worked a bit in it before, and I had no prior experience with Spyder, Jupyter, or Google Colab. This was my first introduction to NumPy, which deals more with arrays and operations on large datasets. As discussed in the lecture slides, NumPy is ideal for storage and operations in numeric data. I learned about concepts such as slicing, boolean masks, and vectorized operations, as well as why they are powerful tools when working with large amounts of data and processing them efficiently. After comp...