Thursday, 24th May 2018
Beginner’s Guide to Jupyter Notebooks for Data Science (with Tips, Tricks!) (via) If you haven’t yet got on the Jupyter notebooks bandwagon this should help. It’s the single biggest productivity improvement I’ve made to my workflow in a very long time.
The test for extracting common code should not be "Are they the same right now?" but "Do they have the same reasons to change?"
A traditional centralized database only needs to be written to once. A blockchain needs to be written to thousands of times. A traditional centralized database needs to only checks the data once. A blockchain needs to check the data thousands of times. A traditional centralized database needs to transmit the data for storage only once. A blockchain needs to transmit the data thousands of times. The costs of maintaining a blockchain are orders of magnitude higher and the cost needs to be justified by utility. Most applications looking for some of the properties stated earlier like consistency and reliability can get such things for a whole lot cheaper utilizing integrity checks, receipts and backups.