In this episode, we cover how Python is being used to understand the electrical markets and grid in Australia. Our guest, Jack Simpson, has used Python to uncover a bunch of interesting developments as the country has adopted more and more solar energy. We round out the episode looking at some best practices for high-performance, large-data processing in Pandas and beyond. <br/> <br/> In addition to that, we also spend some time on how Jack used Python and Open CV (computer vision) to automate the study of massive bee colonies and behaviors. Spoiler alert: That involved gluing Wing Ding fonts to the backs of bees!<br/> <br/> <strong>Links from the show</strong><br/> <br/> <div><b>Jack Simpson</b>: <a href="https://jacksimpson.co" target="_blank" rel="noopener">jacksimpson.co</a><br/> <b>Bees, lasers, and machine learning</b>: <a href="https://ift.tt/3zoiBvp" target="_blank" rel="noopener">jacksimpson.co</a><br/> <b>South Australian Gas Generator Interventions</b>: <a href="https://ift.tt/3wjbiDF" target="_blank" rel="noopener">jacksimpson.co</a><br/> <b>PySAM System Advisor Model</b>: <a href="https://ift.tt/2Ql08P2" target="_blank" rel="noopener">sam.nrel.gov</a><br/> <b>Visualizing the impact of Melbourne’s COVID-19 lockdown on Solar Panel Installations</b>: <a href="https://ift.tt/3iFRENY" target="_blank" rel="noopener">jacksimpson.co</a><br/> <br/> <b>Stack Overflow Python graph</b>: <a href="https://ift.tt/3jLBosn" target="_blank" rel="noopener">insights.stackoverflow.com</a><br/></div><br/> <strong>Sponsors</strong><br/> <br/> <a href='https://ift.tt/3ovvope> <a href='https://ift.tt/3aBjB2k> <a href='https://ift.tt/3vjihuL> <a href='https://ift.tt/2PVc9qH Python Training</a>
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