Baby Steps in Data Journalism
Continuing the PPT series that reviews the lessons learned in Learn Python the Hard Way.
See the first week’s PPT > Exercises 1 - 12
See the second week’s PPT > Exercises 13 - 19
Learning Python - Week 2 from Mindy McAdams
Continuing the PPT series that reviews the lessons learned in Learn Python the Hard Way. See the first PPT > Exercises 1 - 12.
Ideas about devices, data, democratization of computing, and danger.
(via lifeandcode)
The “Visualize Execution” button below the code window lets you see a step-by-step graphical representation of what the code does. Wow!
This slideshow is a review of the first 12 exercises in Zed Shaw’s Learn Python the Hard Way, a free online book. Which is … awesome.
Learning Python - Week 1 from Mindy McAdams
You can download this PPT from the Slideshare site. There are comments and some links in the PPT.
Good code is readable code.
This is new for Overview:
This allows use of Overview without uploading the documents to DocumentCloud, and makes it much easier to import data from sources such as Twitter.
Yay!
You have to register to take this course (learn Python!) — but it’s free, and it’s from MIT. The course starts Feb. 4, 2013, and requires about 12 hours of work per week — until the end of May 2013.
I just found this TNW article from October 2012:
So you want to be a programmer, huh? Here are 27 ways to learn online
While you might have heard of most of the resources in this list, I think it’s likely that you’ll see some new stuff too. Some are free, and some require payment.
You know I’m a huge fan of Learn Python the Hard Way …
Another resource linked here that I have used a lot, and love:
It’s really great as an introduction, if you are serious about learning JavaScript.
From MIT Open Courseware:
This course will provide a gentle, yet intense, introduction to programming using Python for highly motivated students with little or no prior experience in programming. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language.
Lectures: 4 sessions/week for 3 weeks, 1 hour/session
Labs: 3 sessions/week for 3 weeks, 2 hours/session
This site provides sample course content and tutorials for Computer Science (CS) students and educators on current computing technologies and paradigms.
(via macloo)
