Notes on codes, projects and everything
Often times, I am dealing with JSONL files, though panda’s DataFrame is great (and blaze to certain extend), however it is offering too much for the job. Most of the received data is in the form of structured text and I do all sorts of work with them. For example checking for consistency, doing replace based on values of other columns, stripping whitespace etc.
While JSON is a fine data-interchange format, however it does have some limitations. It is well-known for its simplicity, that even a non-programmer can easily compose a JSON file
(but humanity will surprise you IRL). Therefore, it is found almost everywhere, from numerous web APIs, to geospatial data (GeoJSON), and even semantic web (RDF/JSON).
I have recently made my Adium useless by moving all my IM accounts to my beloved Nokia N9. While moving my buddy lists of all major instant messaging services, I did a quick check on each of the contact to see past interaction. It is sort of surprising to see I don’t actually chat with them as frequent as I thought, so why do I “need” my Adium opened all the time?