Using Python I was able to construct a simple Monte Carlos analysis tool for use in Project Management scheduling. It takes in the PERT outputs (a weighted average estimate and standard deviation) and runs simulations across a list of tasks, providing outcomes in percentage format (i.e. the percentage of times each estimate occurs relative to the number of iterations). As it just now exists, it will be an important task to assess the accuracy of the output over time. However, it was a useful exercise and cost-saving for the company if it turns out to be an accurate tool. Project Management software capable of running this type of analysis tend to be expensive, which is fair, but with my newly minted Python skills it was a chance to combine career and new skill to generate business value with a much lower total cost. Again, another item I intend to revisit on the blog as results come in, but also an example of how I sometimes stop sniffing the literal flowers in my planters and tr...