HN user
Not being a scientific programmer, I'm not exposed to the vibrancy of the community that you refer to. Would you recommend any websites where I could follow some discussions on the topic to get a better understand of the available community resources? I will look into Python and its libraries for the research I perform.
I also have some time to kill before finishing my degree. As an entrepreneur, I'm looking for supportive platforms that can incorporate empirical research in rapid development. For instance, I really treasure the rapid development capable in lisp (particularly PLT Scheme for home-brewed libraries). My market research methodology is focussed around measurables and "surveys". Do you know of any resources where one could learn about statistical data processing in a rapid development environment? Perhaps more specifically: smooth dataflow between processes? Best of luck on your PhD.
Do you think that Python libraries or a comprehensive development push will overcome barriers to entry for statistical process platforms? What if the greater adoption of these techniques is more limited by communities of users than the developers?
I have been reconsidering my workflow for a more data-centric approach. When I first looked around the search results for data-centric workflow, I was shocked that it was limited mostly to theoretical discussions and commentaries.
Why don't we have communities online focussed around using tools and platforms that allow informed discussion and decision making to solve entrepreneurial problems??
I'm just waiting for the day the App Museum opens. Of course, the App Museum will need an app to keep people up to date on the latest developments in the history of apps.
Entrepreneurial corollary - The Museum App: create your own geo-temporal-tagged expositions and share with your curator friends!