Re: [Discuss] a great overview of Python for data science

Thanks Greg. Jake is amazing as always. Anybody know why he did not bring up Altair? Is that project still active? A On Sat, Jul 8, 2017 at 4:45 PM Marianne Corvellec < marianne.corvel...@gmail.com> wrote: > Thanks for sharing, Greg! > > On Sat, Jul 8, 2017 at 7:26 AM, Greg Wilson

[Discuss] Computational Thinking

Hi All, For those of you who don't know her, Prof. Lorena Barba is one of the leaders in thinking and designing better courses to teach computational science, particularly at the undergraduate engineering level. I enjoyed this last piece she wrote on Medium, and I think you will too, particularly

Re: [Discuss] Julia lesson/tutorial?

I talked with Alan Edelman about this while visiting MIT to teach a Software Carpentry course a couple of years ago and there's definitely interest within the Julia Community to see Software Carpentry lessons developed and taught using Julia. Cheers, Aron On Wed, Mar 2, 2016 at 3:14 PM Timothée

Re: [Discuss] SWC connections in Kenya

I have some connections to iHub in Nairobi: https://www.ihub.co.ke/research Let me know if you need an email introduction to one of their program officers. A On Tue, Feb 2, 2016 at 3:22 PM Collins, Matthew wrote: > I'll also link up the blog

Re: [Discuss] Reference for statement in R lesson material.

It's a function of statistics, assuming each of the lines of code is an independent distribution that is either correct or wrong. Given the input assumption (95% of all source code lines are correct as written the first time), then the code is correct if the individual lines are all correct,

Re: [Discuss] Reference for statement in R lesson material.

at 5:38 PM, Aron Ahmadia a...@ahmadia.net wrote: It's a function of statistics, assuming each of the lines of code is an independent distribution that is either correct or wrong. Given the input assumption (95% of all source code lines are correct as written the first time), then the code