In an IEEE Software “Adventures in Code” column titled Modular Data Analytics I describe the benefits and use of simple-rolap, a tool suite for relational online analytical processing. I have built simple-rolap based on the Unix make tool and a few shell scripts. With make approaching its 50th birthday, before writing the column I looked for possible modern and better alternatives I might be ignoring.
Continue reading "Unix make vs Apache Airflow"A key part in scientific writing is a description of related work. This section establishes what is known in the given area and the new publication’s contribution. It also provides a signal to reviewers and readers regarding the study’s innovativeness, credibility, and thoroughness. A paper with a shallow related work section may well have overlooked important relevant work that would have supported its theory building, methods, or conclusions. A mistake often made in related work sections is to present them as a laundry list (A did X, B did Y), often in chronological order.
Continue reading "How (and how not) to present related work"I’ve been working with exceptions offered by languages, such as Java and Python, for more than 20 years, invariably as their consumer: catching them when raised by an API and then doing my thing. For the systems I worked on, exception handling mostly involved either quitting the program with an error or re-prompting the user to fix some input. Consequently, my view of them was as a fancy error handling mechanism: syntactic sugar and static enforcement for checking a function’s successful completion. Recently, I refactored the error handling in Alexandria3k, a library and a command-line tool providing efficient relational query access to diverse publication open data sets. Through this the full power of exceptions clicked for me. I suspect that others may share my previously limited appreciation of exception handling, so here is a brief description of the refactoring.
Continue reading "An exception handling revelation"
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