Maneesha Sane on Software and Data Carpentry

Visit our site to listen to past episodes, support the show, and sign up for our mailing list. Summary The Software and Data Carpentry organizations have a mission of making it easier for scientists and data analysts in academia to replicate and review each others work. In order to achieve this goal they conduct training and workshops that teach modern best practices in software and data engineering, including version control and proper data management. In this episode we had the opportunity to speak with Maneesha Sane, the program coordinator for both organizations, so that we could learn more about how these projects are related and how they approach their mission. Brief Introduction Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great. Subscribe on iTunes, Stitcher, TuneIn or RSS Follow us on Twitter or Google+ Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+ I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com This episode is sponsored by Zato – Microservices, ESB, SOA, REST, API, and Cloud Integrations in Python. Visit zato.io to learn more about how to integrate smarter in the modern world. I would also like to thank Hired, a job marketplace for developers, for sponsoring this episode of Podcast.__init__. Use the link hired.com/podcastinit to double your signing bonus. Linode is sponsoring us this week. Check them out at linode.com/podcastinit and get a $10 credit to try out their fast and reliable Linux virtual servers for your next project We are recording today on November 10th, 2015 and your hosts as usual are Tobias Macey and Chris Patti Today we are interviewing Maneesha Sane about Software Carpentry and Data Carpentry Interview with Maneesha Sane Introductions How did you get introduced to Python? Can you explain what the Software and Data Carpentry organizations are and what their respective goals are? What is the history of these organizations and how are they related? What does a typical Software Carpentry or Data Carpentry workshop look like? What is the background of your instructors? Can you explain why Python was chosen as the language for your workshops and why it is such a good language to use for teaching proper software engineering practices to scientists? In what ways do the lessons taught by both groups differ and what parts are common between the two organizations? What are some of the most important tools and lessons that you teach to scientists in academia? Do you tend to focus mostly on procedural development or do you also teach object oriented programming in Software Carpentry? What is the target audience for Data Carpentry and what are some of the most important lessons and tools taught to them? Do you teach any particular method of pre-coding design like flowcharting, pseudocode, or top down decomposition in software carpentry? What scientific domains are most commonly represented among your workshop participants for Software Carpentry? What are some specific things the Python community and the Python core team could do to make it easier to adopt for your students? What are the most common concepts students have trouble with in software & data carpentry? How can our audience help support the goals of these organizations? Picks Tobias Vivaldi Browser vyte.in Pocket Casts Chris Chiptunes = Win ESM – Electronic Study Music Supergalactic Expansive Maneesha QPython New Boston Lunar Baboon Keep In Touch Twitter @swcarpentry @datacarpentry @maneeshasane Blog Software Carpentry Data Carpentry Links NumFocus Software Carpentry GitHub – Training Courses Instructor Training Discussion Mailing List The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA