CST383 - Module 2
What did I learn in the second week of CST383? This week introduced Pandas, which is a Python library built on top of NumPy that was designed for data science. Basically, Pandas can bundle data within an index, providing a way to allow multiple elements to be accessed by an assigned label rather than just by a position. Furthermore, through Series and DataFrames, Pandas is capable of handling data either through a 1D array (Series) or a 2D array (DataFrames). The concepts that took me some time to understand were aggregation and grouping. Basically, with functions going from .aggregate() to .value_counts() and .groupby(), required me to understand how to combine prior knowledge from week 1 to fully implement everything through boolean masks, fancy indexing, etc. while attempting to make it within a single line, as I'm used to using loops to resolve many problems instead of one liners. Outside of the course, the thing that was the most impactful was the Google Colab, as I didn't...