108 karma · joined September 19, 2011
I built an entire app around the idea that every note participate sin the spaced repetition queue. For me it has made a lot of difference, as I have managed to internalize (as in put into a practice) a lot of the stuff that I put into my "second brain", for example insights from books I have read, videos I watched or blog posts, etc:
The only thing that comes to mind is embedding that preserves distance, such as MDS (https://en.wikipedia.org/wiki/Multidimensional_scaling#Metri...)
Mine is called MindPalace and its special feature is that it is focused on spaced repetition and remembering the notes after they were written.
For me, whenever I would take notes, they would become stale and forgotten. Despite Emerson's quote “I cannot remember the books I've read any more than the meals I have eaten; even so, they have made me.”, I felt that there is a lot more to be gained from remembering them.
For instance, I can remember meetings past and insights gained by following up on meeting notes, or insights I got from reading books. I have almost a 1000 notes in my personal notebook.
BTW, the app is self-hosted and avilable here if anyone is interested: https://github.com/msipos/mind-palace
I'd be curious if anyone else does "spaced repetition note taking" and if anyone can share cool tools for that (my tool is not particularly good)
for x in ...:
and then use x outside of the loop. if par is None: ...
As for accessing dicts with a struct syntax, I prefer keeping dicts and objects different things (unlike Javascript).And for JIT, there's numba!
Agreed on the switch statement...
It's a note app where every note has a repetition schedule. The schedule can be dynamic (growing-shrinking) or fixed.
For example, my diary entries repeat every 365 days so I enjoy reading what my diary entries/thoughts were a year (or 2, or 3) years ago.
If you loved Permutation City you may also love Diaspora. The first chapter of Diaspora is brilliant, if you try reading it, and find that you enjoy it, you will then like the whole book.
I am finding the API a lot cleaner than Matplotlib, and it is very nice to have the ability to do integrated interactive plots in Jupyter.
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We are K-Partite ( https://kpartite.com ), a software development company. With extensive experience in web and mobile development, desktop applications and data science, we provide battle-tested solutions to help you successfully complete your projects.
Our developers are in the United States and South Eastern Europe. Together, we form a cohesive team that is both easy to communicate with and can give reliably good results. In the past, we've developed SaaS, E-commerce and finance systems. We've done backend work (Node, .NET, Python/Django), services (Java with Spring, Redis, Mongo, RabbitMQ, MySQL, PostgreSQL, MSSQL), front-end and mobile (Bootstrap, JQuery, Angular, React, Backbone), desktop (QT, .NET) and data science (R, Numpy, Scipy, Sklearn). Get in touch with us at info@kpartite.com for a tour of what we can do for you.
We are K-Partite ( https://kpartite.com ), a software development company. With extensive experience in web and mobile development, desktop applications and data science, we provide battle-tested solutions to help you successfully complete your projects.
Our developers are in the United States and South Eastern Europe. Together, we form a cohesive team that is both easy to communicate with and can give reliably good results.
In the past, we've developed SaaS, E-commerce and finance systems. We've done backend work (Node, .NET, Python/Django), services (Java with Spring, Redis, Mongo, RabbitMQ, MySQL, PostgreSQL, MSSQL), front-end and mobile (Bootstrap, JQuery, Angular, React, Backbone), desktop (QT, .NET) and data science (R, Numpy, Scipy, Sklearn). Get in touch with us at info@kpartite.com for a tour of what we can do for you.
Location: Hungary
Remote: Yes
Willing to relocate: Yes
Technologies: C++/C, Java, Python, Node, Data Science, Machine learning
Résumé/CV: https://kpartite.com
Email: max@kpartite.comI am a full-stack software developer and a data scientist.
I have a background in applied statistics, mathematics, physics and quantitative finance. I have a Ph.D. in statistical physics, but I am also good at writing code. I have written production systems dealing with big data, analytics, prediction and interactive visualization. I have extensive experience with C++, Java, Python (Twisted, Cython, Numpy, Scipy, Sklearn), Javascript (including Node, Backbone, React), databases (Postgres, Mongo, SQLite). I can develop high-performance back-end as well as dynamic front-end services.
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My LinkedIn: https://www.linkedin.com/in/maksimsipos
Here are the results from the latest SO developer survey. The data may be biased, but it looks like vim outnumbers emacs by 5:1: http://stackoverflow.com/research/developer-survey-2015#tech...