theandycamps

OpenStore | Fullstack, Front-end, Data Science, Data Engineering, Devops, Marketing, Finance, BizDev | Miami | Full Time | https://open.store

OpenStore is reimagining the future of e-commerce. Today, we're building the technology and team to systematically identify, value, acquire and scale long-tail e-commerce brands. We envision a future where emerging e-commerce brands have access to instant liquidity for their businesses and where consumers have ready access to the best, small-brand products.

Behind the scenes, we’re a team of experienced founders, operators, data scientists and engineers who saw a chance to change the e-commerce landscape.

We're growing fast and hiring for a variety of roles in Miami.

Please apply through our careers page (https://jobs.lever.co/OpenStore/) or email me directly at andrew [at] open.store.

I've been using R professionally for 4 years. I've been a Python programmer for 6 years. I've shipped large scale applications built on both languages to production.

Findings:

I honestly don't get the hype around R's plotting capabilities. ggplot2 is nice, but far too magical to be easily understood by beginners.

Python offers more intuitive memory management than R (which is really more a statement on how bad R is at memory efficiency).

R blows Python out of the water when it comes to expressing concise and readable linear algebra/stats computation. Done right, base R looks like mathematical pseudo-code.

R's non-standard evaluation is an under-appreciated killer feature. I've seen complex and powerful DSLs implemented implemented in base R. Python has some support for this kind of thing, but nowhere near the level of R.

I tried the Tidyverse and found it to be too magical and unstable. In general, the R package ecosystem is weird. Look at Stack Overflow and you'll find people touting all sorts of different packages to do simple operations. Needing to download a million random packages from grad students of the internet is a recipe for disaster.