3 Golden Nuggets a Day on Teaching Composition and Programming

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Today I have introduced a new section to each of the past ones: My Impressions inspired by Jim Kwik: Speed Reading, Memory, & Superlearning https://youtu.be/t9setjA0AT8?t=13m17s

Capture Notes | Creating Notes Creating Notes => Questions that you would have, how would you be able to use it, how it relates to things you already know. Dare to DayDream!


  • Classic Read

Resource: https://youtu.be/qGl2XsuZHWY

My one golden nugget: teaching can unlock the passion within instead of trying to rewrite everything from scratch while allowing for politics.

My one impression: In my programming career and professional life I am known for my desire to always adhere to coding standards while trying to use the latest tools available, should I have a think on changing my approach to pushing good code forward and turn it into educational content for my colleagues ? - This one comes with some downsides for me and the likes of people whom have no exercise in one to one education, tools that I decided to explore as a result: packt publishing for tech course publishing, youtube or other media streams.


  • How To’s:

Resource: The Power of Composition - Scott Wlaschin https://youtu.be/vDe-4o8Uwl8

My one golden nugget: > functions need to be standalone. Consider types of nouns and verbs. Noun = Data Structure, Verb = Behaviour. > Functional programming problem solution steps: 1. identify unique functions 2. define functions 3. pipeline your functions accordingly

My one impression: * Currying is the process that allows chaining by transforming a multi-input function into one-input function.

Put I/O operations at the start or end of your pipeline, while in the middle only keep pure functions

https://youtu.be/vDe-4o8Uwl8?t=53m56s

Map : apply single input function to a list Bind: transform a one input 2 output function into a 2 input 2 output function (adds an input) getting composition to work

Kleisli Composition: combine functions of the same kind to get


  • Biography:

Resource: TRAIN AI 2018 - Building the Software 2.0 Stack https://vimeo.com/272696002

My one golden nugget: > new paradigm: instead of engineered code, make use of AI to find code that does what you need

My one impression: How can I get involved into creating new stacks using AI while adding on my skills instead of ditching them and start from scratch ?


I am building a list of books on airtable.

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