This week we learned how to implement a different type of database using MongoDB. For our group project this week we changes the SQL code to MongoDB code. Both of these database applications do a fine job of working with data and saving it to a database. I did find that MongoDB seemed more streamlined than working with SQL. With SQL there seemed to be more setup as in creating prepared statements, and then executing queries. With MongoDB it seemed like a good chunk of the code was abstracted away and this made for cleaner looking code at the call site. If I had to choose I would likely go with MongoDB as it seemed more approachable.
For the Markov code review I worked with my teammate Brandon Hoppens. My strategy for the Markov assignment was to first read through the entire prompt and ensure that I had a general idea of what the program was supposed to do. I then worked through the prompt building each method before moving on to the next. I built all of the methods and then ran the test after my initial build. I was able to pass a few of the test and failed others. I then went back to the individual tests I failed and manually debugged them. This was in contrast to how Brandon tackled the prompt as he was implementing the methods as they were needed. He worked to ensure each piece that he added worked with the existing code base. I think I would change my strategy to adopt some of his methods and use an incremental approach. I relied on building the entire program before running the first test, and I can see how on bigger projects this could lead to some frustration. The feedback I received from Brandon was ...
Comments
Post a Comment