Personal collective of ideas, thoughts and notes
Links which I have found interesting or contain some snippet of knowledge or wisdom which I have drawn some inspiration or learnings from.
https://www.neilwithdata.com/mathematics-self-learner
Mathematics for the adventurous self-learner For over six years now, I’ve been studying mathematics on my own in my spare time – working my way through books, exercises, and online courses. In this post I’ll share what books and resources I’ve worked through and recommend and also tips for anyone who wants to go on a similar adventure.
Great resource for adding design flair and style to your apps or products: https://github.com/swyxio/spark-joy
This is a really awesome curated/categorized list of open source and self hosted software packages. Forget SaaS … “On-premise” is the new cool.
https://selfhostedsource.tech/self-hosted
No longer a valid source, but this is a good alternative: https://github.com/awesome-selfhosted/awesome-selfhosted
This is a great personal site from Ben Eater showing how some fundamental computer components are built: https://eater.net
STEM Related – https://tksstgiftguide.tumblr.com
free-for.dev Developers and Open Source authors now have a massive amount of services offering free tiers, but it can be hard to find them all in order to make informed decisions. This is a list of software (SaaS, PaaS, IaaS, etc.) and other offerings that have free tiers for developers. The scope of this particular list is limited to things infrastructure developers (System Administrator, DevOps Practitioners, etc.) are likely to find useful.
Very few think the world is making progress. In this article we look at the history of global living conditions and show that the world has made immense progress in important aspects.
https://ourworldindata.org/a-history-of-global-living-conditions-in-5-charts
API based trading …
https://github.com/sanko/Robinhood/blob/master/Markets.md
Realtime Stock Prices
Quant Apps:
https://github.com/maihde/quant – Python – 6 years old 🙁
https://github.com/femtotrader/pythalesians – Python
http://gbeced.github.io/pyalgotrade/
https://github.com/DMTSource/daily-stock-forecast – looks cool, requires google app engine?
https://github.com/Divya5595/Stock-Forecast – Stock forecast
https://github.com/Nazanin1369/stockPredictor – long term stock forecasting using LSTM
https://github.com/adeshpande3/Quandl-Machine-Learning/blob/master/QuandlTest.ipynb – Quandl data download review in iPython
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