Week 2 CST383
This week in CST383 we covered the fundamentals of pandas in Python such as creating panda series and dataframes and understanding how both of their operations, indexing, aggregation, grouping, and other features like string methods work to create and manipulate data effectively. We also went over the types of variables used in data science and how to obtain data from different sources. We ended the week by covering how to understand descriptive statistics that give summary information about some form of data such as the mean, median, quantiles, variance, and standard deviation. Lastly, we overviewed the different demonstrations of functions that show the distribution of continuous variables through PDF or probability density functions and CDF or cumulative distribution function One of the significant moments this week was learning how to distinguish between implicit and explicit indexing. At first iloc, loc, and even normal bracket indexing appeared to be straightforward at first, but...