That may be what I end up doing. It's definitely no fun debugging the build system for a 20-year-old compiler on 20-year-old hardware.
I've been thinking where this thread started. The original challenge stated that taking 13 seconds or less to compute the 4784969th Fibonacci number on an i7-class CPU was the minimum performance a programming language needed. Best efforts using parallel OpenMP C and C++ programs computed this million-digit number in a fraction of a second. A program written in traditional line-numbered Basic and compiled by the FreeBASIC compiler took less than two seconds and Visual Basic interpreted by the mono just-in-time compiler took less than four seconds. Although both Basic programs performed significantly slower than half the speed of the fastest programs, they easily meet the minimum requirements of the challenge.
The present focus has been on how efficiently a programming language can convey complicated algorithms to the CPU; however, it was also suggested early in this thread that another measure of a language is how many job listings mention proficiency in that language as a requirement. On one hand education is informed by what industry needs; on the other hand industry is guided by the engineering and fundamental research produced by universities.
Although Python was created for teaching, it has become a popular language for practical applications. Although R was developed for academic research, it is an important tool used by industry for processing big data and business analytics. Still, no matter what happens in education, it takes some effort to imagine Basic regaining its former dominance for solving problems in the domain now dominated by Python.
Those who remember punching the comments in column one, the continuation character in column 6 and the statement in column 7 might pause to wonder what kind of snake the serpent from the garden of Eden has become. Indeed, Python as prefigured by Fortran IV may not be as comforting as the memory of Basic recalled by modern structured versions of that language. Moreover, if the goal is digital liberation through a second age of personal computing, then getting a job writing programs for someone else matters not. At the same time, it does help pay the bills.