To the Stars
My simple Python Tagging Engine has now been updated to incorporate learnings about tuples, and incorporates simplified ways of sorting and returning counted values from a dictionary. Code and simple documentation available on GitHub: https://github.com/debkr/blog_tagger.
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And now for something completely different:
All these things were familiar to me from programming in school and as a maths undergrad (albeit a little rusty!). But now we come on to something completely different, something I hadn’t heard of before: tuples. I’ll call tuples the big brother of lists as they’re very similar to lists: they’re basically another type of collection of things. [Read more…] about Coding 101 (part 8)
My newly-established EdTech Personalised Training Plan includes the following streams:
1. Information Theory Stream
2. Learning/Development Stream: how humans learn vs. how machines learn + developing machines to augment human learning
3. Collaborative Learning Stream
4. Innovation Stream
5. Agile Methodologies Stream
6. Educational Technology Stream: to review the technological and presentational innovations shaping education and L&D
Refer my earlier post “Learning About Learning” for some background on this new/additional PTP.
Below is a list of resources for the Learning/Development Stream of my newly-established EdTech Personalised Training Plan (this list is a work-in-progress).
Courses:
Learning to Learn module on Coursera, Univ. of California, San Diego
As I’ve been going along in this mission of discovery that is my mid-life career-change search, I’ve come to realise just how important Learning & Development really is to me. It’s become a key area for me to look further into – especially in response to my wholly-positive experiences of MOOC’s so far and in relation to my budding interest in all things programming- and technology-led.
I’ve been thinking more and more about the ideas Accelerated Learning and Augmented Learning (specifically in relation to an ongoing developmental Programming Project). In brief, this is about how machine learning and artificial intelligence can be used to help and empower humans, rather than just be there to make rich people more money and put more people out of jobs and into long-term unemployment or underemployment. [Read more…] about Learning About Learning
I started playing around building a Tagging Engine in Python using Lists but now I’ve studied a bit more – particularly Dictionaries – I want to see how I can perfect what I was working on. Here are a couple of key things I added/changed in this program over the version I was working on earlier.
1. Using a dictionary instead of lists for faster counting and simpler recall. This is straight forward, using the get method as taught by Dr. Chuck (see Coding 101 part 7 for more details).
words = dict()
for word in wordlist :
____if word in excluded : continue
____words[word] = words.get(word,0) + 1
[Read more…] about Building a Tagging Engine in Python using Dictionaries