Sep 19
ErinHumor home, humor, tools
Our kitchen clock stopped working and the wife fetched from storage the clock I purchased from Ikea almost a decade ago when I was assigned temporarily in Finland. It was a pine-wood clock under the Doldis model name. It was smaller than the clock it replaced but thankfully it was still working and usable after all these years of storage.
The clock only has the hour and minute hands. The lack of the minute hands makes it not as useful when cooking. There was something else though that made me a butt of some jokes from my wife as I didn’t catch it when I bought the clock. Can you see it? 😉
We will keep using the clock. I paid good money for it and we can live with its “uniqueness”. 😀
[UPDATE] I am aware that using more than 3 Roman numerals is acceptable albeit non-standard. The clock doesn’t use that form for number 9 though. 🙂
ciao!
Sep 19
ErinFLOSS, Technology codeskulptor, coursera, floss, python, Tech, ubuntu
For the impatient, jump to the end of this post for the summary of the commands to be invoked. 😉
I have signed up again for a Coursera course for Interactive Python programming to improve my Python programming skills. I am going to sidestep the question if I am going to finish this course for the moment. 😉
The course professors have developed and are using CodeSkulptor to make it easier to create, submit, and grade the course. CodeSkulptor is basically a browser-based Python interpreter that implements a subset of Python 2.x. It absolves the students enrolled in the course from the requirement to install Python in their local machines plus it also allows them to continue working on their code while on different machines (provided they know their work’s randomly generated URL).
The abstraction provided by CodeSkulptor however renders some incompatibilities in running the code locally. This could be a disadvantage for people who wants to work offline, either by choice or by location. Coursera member Jimmy Delgado has provided good quick tutorial on how to run CodeSkulptor code locally. The post is in the Coursera forums but I am replicating it here and then augment it with the steps I have added to make it run on my Ubuntu 14.04 installation.
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