Summary

Flask 3.0 is the best-fit version of Flask that can build scientific applications because of its asynchronous features and asyncio support. The asynchronous WebSocket, SSE, Celery background tasks, and services, together with the mathematical and computational modules, such as numpy, matplotlib, sympy, pandas, scipy, and seaborn, are the core ingredients in building applications that highlight visualizations, computations, and statistical analysis.

Proven by this chapter, Flask supports LaTeX document generation, updating, and rendition, including its PDF transformation. This feature is crucial in most scientific computing that requires archiving, reporting, and records management.

Flask support on visualization is also clear cut in this chapter, from the real-time data plotting down to the native plots of the matplotlib module. Flask can utilize JS-based libraries for data plotting of DataFrame object’s tabular values seamlessly and in a straightforward manner...