Python for Decision Makers and Business Leaders Transcripts
Chapter: Data science in Python
Lecture: Python and data science
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0:00
You should be aware by now that Python and data science go together so well and it's one of the fastest growing parts of Python.
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In fact, in that survey I showed you in the web development side the Python software Foundation survey along with JetBrains
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they also ask, Are you a web developer a data scientist, or other? Web developer and data scientist, those were about equal
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so this is a huge part of Python and I think this is one of the areas as I mentioned in the full spectrum section that is really unique for Python.
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People can come from other disciplines from say science, or engineering, or economics and they can come into Python and they can do this type of work
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that we're about to talk about because Python is so easy to get started. But they can do real honest to goodness work that has incredible implications
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as far out to the boundaries of science as you want to think. How far out? Well, what if we're using telescopes? Yes, astronomers all over the world
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use Python to study all sorts of things. To study stars, to look for exoplanets there's a whole bunch of libraries.
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One of them, the most popular one, is called Astropy. So this is a whole project for just doing astronomy with Python.
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What was the biggest discovery in astronomy recently? Well, as a non-astronomer, just looking in from the outside it was probably the fact
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that the very first picture of a black hole was taken. This is not as easy as it sounds. This doesn't just mean better cameras that can focus more.
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There's all sorts of reasons that it's very hard to actually get a clear, true picture of what a black hole looks like.
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So the people worked on this project they actually used machine learning to try to figure out what the real image looked like
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and tried to piece it back together from a bunch of parts with many interpretations but they taught the machine learning model
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what the most likely outcome was, and they recreated it. They use a whole host of libraries that are from the data science side of Python
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NumPy, SciPy, pandas, Jupyter, Matplotlib and Astropy, of course. This is just one discipline, and one huge discovery.
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It would not surprise me if a Nobel Prize came out of this work done with Python. But speaking of Nobel Prizes people did win the Nobel Prize
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for finding the Higgs boson at the Large Hadron Collider. Yeah, Python was also involved in that as well.
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Data science and Python, they go really well together and it's partly because of this full spectrum language.
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It's so easy to come in as a non-developer pick up the little bits you need and just keep going, and going, and going until you've all of a sudden
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used machine learning and artificial intelligence to recreate the picture of a black hole. Wow.