For this study, we'll choose the world of web scraping. Python is universally known for this use, because if you're a python programmer, you're one of the following:
A full-stack Python programmer, developing client and server applications
A data scientist, using NumPy, scikit-learn, and so on
A systems programmer, as Python comes standard with most, if not all, Linux distributions
A big-data programmer, utilizing Hadoop and Python-Hadoop streaming or Python for building map-reduce jobs
A successful web scraping infrastructure for a successful product generates a lot of data (a big data programmer) that we can learn from (a data scientist); it is rather taxying to properly build at scale (a systems programmer), and somehow, you'd want to turn all this into a product (a full stack Python programmer).
As you see, once you cover web scraping, you can build a lot of products; you can also get into a lot of technological domains in the same programming language and platform. And if this...