On this episode, we are going to weave a thread through three different areas of Python programming that at first seem unlikely to have much in common. Yet, the core will be the same throughout. I think this is a cool lesson to learn as you get deeper into programming and a great story to highlight it. <br/> <br/> We are going to meet Ravin Kumar who wrote Python code and data science tooling for oil rig tool manufacturer, a rocket company, and a hip multilocation restaurant chain.<br/> <br/> <strong>Links from the show</strong><br/> <br/> <div><b>Ravin on Twitter</b>: <a href="https://twitter.com/canyon289" target="_blank" rel="noopener">@canyon289</a><br/> <b>PyMC3</b>: <a href="https://docs.pymc.io/" target="_blank" rel="noopener">pymc.io</a><br/> <b>Arviz project</b>: <a href="https://ift.tt/2E6O89I" target="_blank" rel="noopener">arviz-devs.github.io/arviz</a><br/> <b>pystan project</b>: <a href="https://ift.tt/2oZ5S1Z" target="_blank" rel="noopener">pystan.readthedocs.io</a><br/> <b>NumFocus</b>: <a href="https://numfocus.org/" target="_blank" rel="noopener">numfocus.org</a><br/> <b>Bayesian Decision Making</b>: <a href="https://ift.tt/3i1HoNj" target="_blank" rel="noopener">canyon289.github.io</a><br/> <b>open-aerospace project</b>: <a href="https://ift.tt/3dEAjyF" target="_blank" rel="noopener">open-aerospace.github.io</a><br/> <b>SweetGreen</b>: <a href="https://ift.tt/2yCQmck" target="_blank" rel="noopener">sweetgreen.com</a><br/> <b>Get notified when Bayesian Computation In Python is out</b>: <a href="https://ift.tt/38496V8" target="_blank" rel="noopener">docs.google.com/forms</a><br/> <b>Bayesian Analysis with Python Book</b>: <a href="https://ift.tt/31kIGNE" target="_blank" rel="noopener">packtpub.com</a><br/></div><br/> <strong>Sponsors</strong><br/> <br/> <a href='https://ift.tt/2AndcLj Error Monitoring, Code TALKPYTHON</a><br> <a href='https://ift.tt/3aBjB2k> <a href='https://ift.tt/2PVc9qH Python Training</a>
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