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