This lines up with how it took 300 years for the giant tortoise to receive a scientific name. The process to get this required delivering a specimen back to England, and they were just too delicious.
Is it true? There are museum record of skeletons from the early 19th century, which is around the right time, and there are Latin names from around then too.
Maybe and yes. It violates the Geneva Convention. But I’m sure there would be ways to ‘justify it’ if a country wanted to do so.
I had expected that it was not economically viable for agriculture, but the article has one source claiming it is actually quite affordable, given current water prices in the west.
A large portion of the article tries to give both sides a voice.
What about higher level manipulation. Are these made by hand? What does the tooling look like? Can you modify the "maps" using editors, or code? I remember even early on there were Python libraries for manipulating Minecraft chunks.
You usually have items in an inventory. If you have what's needed, you can craft plenty of things by hand (but not complicated things like engines or anything to do with oil or uranium). Otherwise, you build belts to assembly machines, they take things from the belt, and make whatever you tell them.
Mid to late game you also get construction and logistics bots. The former allows you to copy/paste groups of machines (bots will make them), and the latter of which just makes sure you have things that you need in your inventory. Bots speed the game up quite a bit.
The article doesn't go into much detail, but since they wanted to 'help non-profit workers and the poor' my guess is that they wanted to offer loans to high risk people and the regulators said "NOPE!"
Same here. The first three were a good start. It was a little annoying that there is zero feedback on the peer assessments other than the grade. The third class starts off slow but by he last week is at about the same level as the R Programming course. My biggest complaint ( which applies to all of these courses) is that the lectures are just narrated PowerPoint presentations. Are all moocs like that? I'm not expecting polished videos at the same level as Kahn Academy but these lectures are just a small step up from fading the slides myself.
Now I'm taking the next three. They are a good continuation that picks up where the first three left off. I was looking forward to the Statstical Inference class. It has been almost 10 years since I took intro to stats in college. For someone without any stats background this course will really step up the difficulty. I was even more disappointed with the lectures on the stats cours. The yellow highlighting as he reads each line on the slide is extremely distracting. But the content is exactly what I was hoping for.
I've done a little hacking with R for data heavy analysis at work when excel couldn't handle the data. I'm really glad to be taking advantage of this opportunity to get more experience with it in these course. My day job is implementing the 'production' side of this kind of data processing with java and hadoop in the healthcare space. Hopefully this specialization will help me better communicate with our clinical/science teams.
Auto wiring is great for test code. Most of you need to know about the test is contained in the testing class.
But I don't like using auto wired in the main code because it means I am required to use that wiring for every use. I find that we want to use classes in a few different ways, and keeping the dependency definitions and configuration values in the XML decouples it from the code and increases both reusability as well as exposing the XML configurations after deployment so that a recompile isn't required in the field.
Different DB drivers and connection pool setups for example.
Taken to extremes I've also used Spring to configure a rudimentary ETL framework for example, where the entire pipeline could be (re-)configured post release.
