The end is near – at least for the lear­ning of­fice! Soon we’ll be swap­ping PCs for lec­tu­re halls and start­ing our dual stu­dies. But be­fo­re that hap­pens, it’s worth loo­king back: What have we lear­ned, ex­pe­ri­en­ced, and ta­ken away?

The first steps: Py­thon basics

It all star­ted on Sep­tem­ber 10. Our first day in the lear­ning of­fice mark­ed the be­gin­ning of an ex­ci­ting time full of pro­gramming and chal­lenges. In the first few weeks, we lear­ned the fun­da­men­tals of Py­thon and ap­pli­ed them di­rect­ly in prac­ti­ce. From small pro­grams to games like Hang­man and a lot­tery game, ever­y­thing was in­cluded. My per­so­nal high­light was our own litt­le con­so­le-ba­sed RPG that we de­ve­lo­ped ourselves.

APIs & Da­ta­ba­ses: FastAPI

Af­ter we had mas­te­red the ba­sics, we mo­ved on to Fas­tA­PI. We de­ve­lo­ped our own web APIs for the first time and lear­ned how im­portant they are for ever­y­day ap­pli­ca­ti­ons like mo­bi­le apps or web ser­vices. The in­te­gra­ti­on of a da­ta­ba­se into our API was espe­ci­al­ly ex­ci­ting. We lear­ned how re­cords are stored and how pro­grams com­mu­ni­ca­te with a da­ta­ba­se via interfaces.

Data Ana­ly­sis & Ma­chi­ne Learning

Af­ter the APIs, things got ana­ly­ti­cal: wi­thin nine days, we work­ed in­ten­si­ve­ly with sta­tis­tics, ana­ly­zed data, vi­sua­li­zed it using Mat­plot­lib, and even took our first steps in ma­chi­ne lear­ning. From li­ne­ar re­gres­si­on to dif­fe­rent ML models.

Web De­ve­lo­p­ment & Agi­le Working

Fi­nal­ly, we dove into the world of web de­ve­lo­p­ment. Af­ter a brief in­tro­duc­tion to HTML and CSS, we took on a lar­ger pro­ject: an An­gu­lar ap­pli­ca­ti­on that we’ve been working on for al­most two weeks now. The fo­cus is not just on the pro­gram its­elf, but also on how we work: agi­le work­flows with Scrum, do­cu­men­ta­ti­on in Azu­re De­vOps, and col­la­bo­ra­ti­on in a team using a shared re­po­si­to­ry. Here we lear­ned how im­portant com­mu­ni­ca­ti­on and or­ga­niza­ti­on are when se­ve­ral peo­p­le are working on the same project.

Now we’re loo­king for­ward to the next chall­enge: our stu­dies. With the know­ledge and ex­pe­ri­ence we’ve gai­ned in the lear­ning of­fice, we feel well pre­pared for wha­te­ver co­mes next.