I have grown a lot in this quarter, especially when it comes to coding. As someone who was only slightly experienced in using Pycharm for previous courses, I am now learning to use Github with other teammates on (being aware of pushing and merging eachother’s changes in a timely manner, needing to be on the same page with everyone), using Visual Studio Code as an interpreter and writing in Typescript, as well as using Postman to test my code. I am also becoming familiar with R in my statistics course ST 314, which I will dive into a bit more later.
VS Code’s intuitive interface, coupled with its powerful features like IntelliSense, debugging support, and built-in Git (which is so helpful as I can pull my teammate’s changes quickly and on the fly, makes it an ideal environment for TypeScript development.
Postman has been a game-changer for testing APIs. It allows me to create, share, test, and document APIs easily. The user-friendly interface of Postman makes it simple to send requests to APIs and view responses, without the need to write extensive code. This has been particularly helpful in understanding how APIs work and in ensuring that my code interacts correctly with them especially as a beginner creating API endpoints for the first time ever.
In my statistics class, I use R, which is a language and environment for statistical computing and graphics. R’s ability to handle complex data and perform statistical analyses is unparalleled, as I can push very large CSV files through its system with ease. My favorite thing about using R is how easy it is to modify lines of code and run them INDIVIDUALLY. This makes error handling so much easier; it makes me wish a similar option was available on Python! The minimalistic design of R and the simplicity of the buttons also make it easy for a beginner to navigate. Out of all of the coding languages I am currently learning (Python, HTML, Typescript, and R), R is my absolute favorite for these reasons.
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