Taking 'information heavy' to mean large data size/ volume. File system can be seen as a basic database. When data access paths are not pre-defined e.g. URL, slug, tag, etc., a systematic way to organize and query is required. Three examples: (a) not knowing what user may query, text indexing today almost index every words. (b) given predefined access path, NNTP have used mostly files. (c) mail servers have both. IMO, in general, addressing domain specific requirements, database systems (relational, logical, network...) are not slower, harder to update/ backup. As pointed out in another comment, disk IO is slow. Both file and database systems feature various ways to speed that. Understanding requirements, then architect, design, and choose a solution stack carefully.
Even having read a few popular science books a few years ago (50-year DNA anniversary), it's been too many years since AP Biology. Could you/ others please recommend a few titles (articles, books, titles), at the AP Biology level, on (a) proteins and RNA, (b) genes and DNA ? Thanks in advance!
Thank you for pointing that out. The choice of a single source file is a great C feature. The author appears to have started from a few hundred lines in 2006. Grew that 10x, to a few thousand. Curses/ ncurses bring back good memory of various mail and news readers. I bet a few of you tried curses/ ncurses. IMO, character user interface has its efficiency; prefers CUI to icon bars, ribbons, etc.
The National Parks: America's Best Idea: Great Nature (1933-1945). The years 1933-45 are recalled. Included: the Civilian Conservation Corps are created during the Depression to undertake renovation projects...
