【2019新书】Python for Finance: Mastering Data-Driven Finance, 2nd Edition

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The Python User Spectrum
Python does not only appeal to professional software developers; it is also of use for the casual developer as well as for domain experts and scientific developers.


Professional software developers find in Python all they might require to efficiently build large applications. Almost all programming paradigms are supported; there are powerful development tools available; and any task can, in principle, be addressed with Python. These types of users typically build their own frameworks and classes, also work on the fundamental Python and scientific stack, and strive to make the most of the ecosystem.
Scientific developers or domain experts are generally heavy users of certain packages and frameworks, have built their own applications that they enhance and optimize over time, and tailor the ecosystem to their specific needs. These groups of users also generally engage in longer interactivesessions, rapidly prototyping new code as well as exploring and visualizing their research and/or domain data sets.

Casual programmers like to use Python generally for specific problems they know that Python has its strengths in. For example, visiting the gallery page of matplotlib, copying a certain piece of visualization code provided there, and adjusting the code to their specific needs might be a beneficial use case for members of this group.

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