CS Online Learning Journal

This was our first week in CST 383 - Data Science. This class discusses machine learning, how to analyze data, and how to use Python for data analysis. Python Array Operations In this week's video lecture we discussed various operations one can perform on python arrays. Slicing:   Python arrays can be accessed using [start:stop:step]. Start defaults to 0, stop defaults to the end of the array, and step defaults to 1. For example, to access the last three elements in an array we would use array[len(array) - 3:], to access the first half of the array we would use array[:(len(array) / 2], and to access every other element we would use array[::2]. Fancy Indexing:  We can use an array as a list of indices we want to get from a different array. For example, array[[0, 2, 4]] would return the first, third, and fifth elements of the array. Broadcasting:  We can perform operations on arrays to quickly perform operations on each element in said array. If we have the array [1, 2...

Service Learning Project Throughout CST 462S I performed QA for LibreOffice . This involved reviewing user reported bugs, attempting to reproduce the bugs in LibreOffice, asking for additional information if needed, and updating the status of the bug when applicable.  The project was a good experience overall. Before starting the project I was unfamiliar with QA. Both the site itself and my supervisor provided plenty of resources that helped prepare me for performing QA. After having finished the project I feel much more comfortable performing QA for LibreOffice, and I am confident that I could perform similar tasks for other sites or services. The service project was not without its own troubles. One thing that I consistently found difficult was the complexity of many of the bug reports. Many bug reports referenced advanced aspects of LibreOffice or had bugs that were complicated and obtuse. Some days it was easy to find reports that I felt comfortable tackling, while other days i...