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In our final video of the series, we are now going to run through the optimization process again but this time we will use SciPy. With SciPy, we can run our optimization process a lot faster by leveraging built-in functions to arrive at our results. Keep in mind that the values may vary compared to our Monte Carlo Simulation. Video Resources: -------------------------------------------------- https://github.com/areed1192/portfoli... Resources: -------------------------------------------------- Facebook Page: / codingsigma Facebook Group: / sigmacoding GitHub Sigma Coding: https://github.com/areed1192/sigma_co... Support Sigma Coding: -------------------------------------------------- Patreon: / sigmacoding Amazon Associates: https://amzn.to/3bsTI5P ** Related Topics: -------------------------------------------------- Title: Portfolio Optimization in Python | Introduction Link: • Portfolio Optimization in Python | In... Title: Portfolio Optimization in Python | Grabbing the Data Link: • Portfolio Optimization in Python | Gr... Title: Portfolio Optimization in Python | Running a Monte Carlo Simulation Link: • Portfolio Optimization in Python | Ru... Title: Portfolio Optimization in Python | Plotting Link: • Portfolio Optimization in Python | Pl... **Amazon Associates Disclosure: -------------------------------------------------- I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com. One of the ways I support the channel is by using Amazon Associates to earn fees on purchases you make. That means when you use the link above, it will track any purchases made from that link and give a small portion of it to the Sigma Coding. I love this approach because it allows you to do what you're already doing (shopping) but also helps support the channels you care about. Also, it makes it where I can invest that revenue to help improve and grow the channel. Tags: -------------------------------------------------- #Python #Finance #PortfolioOptimization