This chapter discusses several case studies of scientific computing applications, APIs/libraries, and tools designed and developed in Python.
In this chapter, we will be discussing some case studies of applying Python in the following areas of science:
Specialized hardware/software
Applications for meteorologists
Designing and modeling
Applications for High-energy Physics
Computational chemistry
Biological science
Embedded systems
These applications, tools, and libraries cover various social, scientific, and commercial areas, including applications for NGOs, software or hardware for scientific education, and applications for meteorologists. They also cover tools and APIs for conceptual designs of aircraft, applications for earthquake risk assessment, and applications designed for energy efficiency of manufacturing processes. Apart from these, analysis code generators for High-energy Physics, applications for computation chemistry, a blind audio tactile...