Plurrrr

Wed 27 May 2020

Feeding a Caribena versicolor sling and a tiny scorpion

Today I was finally able to feed the Caribena versicolor sling that has been in my care since the first of this month. I held a small mealworm, Tenebrio molitor, with tweezers close to it, and it "jumped" on the small prey item. In the past the small tarantula had refused food items of the same size, no idea why. Maybe still getting used to its enclosure.

Caribena versicolor with prey
Caribena versicolor with prey: a small Tenebrio molitor larva.

I was also finally able to feed a second instar Chaerilus sp. "Java"; a very small scorpion that I have been keeping since the 7th of April 2020. While it has small springtails in its enclosure, which maybe it eats, I prefer to actually see it eat. So in the late afternoon I managed, after a few attempts, to start it accepting and eating a very tiny mealworm larva.

Julia vs. Python: Which is best for data science?

Among the many use cases Python covers, data analytics has become perhaps the biggest and most significant. The Python ecosystem is loaded with libraries, tools, and applications that make the work of scientific computing and data analysis fast and convenient.

But for the developers behind the Julia language — aimed specifically at “scientific computing, machine learning, data mining, large-scale linear algebra, distributed and parallel computing”—Python isn’t fast or convenient enough. Python represents a trade-off, good for some parts of data analytics work but terrible for others.

Source: Julia vs. Python: Which is best for data science?, an article by Serdar Yegulalp.