It made data, functions, web applications, and REST API finally click for me.
I took two stats courses-- a simple one at a community college where we dabbled with a stats analysis app. And a more complex one, where we wrote scripts in the language "R" and uses rStudio.
I began to realize things I should have realized long before that:
- Functions typically intake data, and output data. What made it click was inputs into a statistical model, such as multivariate linear regression.
- A program runs on data-- data is basically the "currency" (i.e. monetary currency) of an application.
- Data comes in various shapes and sizes, and collections. Programs have to be compatible with those shapes, sizes, and depths within collections.
Once I realized this, I began reflecting more on the typical 3-tier web application model, and HTTP, and REST API, including looking at diagrams on google images. It became so much clearer once I had a solid understanding of data & functions.
It made data, functions, web applications, and REST API finally click for me.
I took two stats courses-- a simple one at a community college where we dabbled with a stats analysis app. And a more complex one, where we wrote scripts in the language "R" and uses rStudio.
I began to realize things I should have realized long before that:
- Functions typically intake data, and output data. What made it click was inputs into a statistical model, such as multivariate linear regression.
- A program runs on data-- data is basically the "currency" (i.e. monetary currency) of an application.
- Data comes in various shapes and sizes, and collections. Programs have to be compatible with those shapes, sizes, and depths within collections.
Once I realized this, I began reflecting more on the typical 3-tier web application model, and HTTP, and REST API, including looking at diagrams on google images. It became so much clearer once I had a solid understanding of data & functions.