I have over 20 years experience in the financial services and it industries working in trading, financial market analysis, risk and it. In the past I have given training courses on financial market analysis and derivatives.
I have a proposal for a training course and I want to see if there is much interest. Below is a brief description of the proposed course. If you are interested in discussing further or would be interested in attending I can be contacted at [email protected]. Course Summary Describe a methodology, with applications, to analyse popularity in open source. Definition of Popularity This will look at how to define popularity. The data used will be a time series of the number of starts and forks for github projects and usage counts of stackexchange tags. Description of Methodologies In this section appropriate methodologies to analyse popularity will be discussed. As a lot of these methods will be taken from financial market analysis there will be an emphasis on: -Introducing various approaches to analysing financial time series data -Comparing and contrasting financial and open source time series data. Application of Methodology The methodologies presented will be used to answer questions including: -Is there any difference between projects that have a steady growth in popularity and projects that have periodic bursts in popularity. -Is there a critical popularity level that if reached means that a project becomes established and sustainable. -For competing projects what relative popularity patterns tend to indicate what project will become most popular. -For complementary projects what can we deduce from relative popularity movements. -What can we tell about projects that have a high degree of correlations in their popularity. Specific Detailed Analysis The final section will examine in detail: - A number of current github projects that appear from their popularity trends to becoming very popular. - The relative popularity of organisations that have significant open source projects. All participants in the course will get extensive source code used in the analysis along with the time series data. -- You received this message because you are subscribed to the Google Groups "Python Ireland" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
