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Yes, indeed, when so many projects get started and stopped, this continuity is notable, and we need more of this.

And then, this puts me in absolute awe: https://en.wikipedia.org/wiki/Nalanda_mahavihara

A residential university that ran for ~750 years. What a marvelous achievement of human culture and spirit!

It survived multiple royal dynasties.


Indeed! I remember first seeing it in late 2000 or early 2001, and it wasn't brand new at that time.

I used it as a companion to Richard Stevens' classics on TCP/IP.


From his bio:

> I'd started off with Beej's Guide to Network Programming back in 1995 or so


I don't remember if I said, but I got started learning this stuff from a networking program someone had written to allow you to play DOOM over the modem, IIRC. So thank you to whomever that was!


And thank you for writing the networking guide. I found it in my early teens when I was interested in learning programming and wanted to go beyond the basics to do some more interesting stuff.

It helped me write some chatroom bots for things like IRC and battle.net in the early 2000s, which fueled the hobby even more and eventually turned it into a very good career. :)


I used to use opensuse around 2010, and had very pleasant experience with it. Things just worked, and their Yast tool was very handy. I used to joke that opensuse is the Mercedes of linux distro :).

I am wondering why it isn't more popular. Is there any sentiment/experience people would like to share about this distro?


It's the second biggest Linux company behind Redhat, so I think it's reasonably popular. It's also been a while since I used it, but I'll also point out that it's developed primarily in Germany, so it's entirely possible it's just not as popular in the English speaking community.

However, the licensing agreement with Microsoft put many people in the open source community off, so I think that's contributed to its decline among hobby users.


Ubuntu does a pretty good job marketing-wise, many people start they journey with Ubuntu and never look for other distros. Or on the other hand, they end up on advanced/continuous-maintenance distros like Arch Linux.


Do you really think 'continuous maintenance' is an appropriate category for Arch? That hasn't been my experience.


If you go to an Arch community and you say you haven’t updated your system in a month, they will be mad.


I am not sure how I would react and what I would think, if I have to face such a situation. Perhaps, under that level of sadness and stress, an aspiration that things will continue in an afterlife is one (only?) thought that would instill hope about future.

This is an unusual situation, I think we should expect unusual coping mechanisms.


In IntelliJ, it is possible to open the current buffer/editor in emacs using emacsclient. You can configure Tools > External Tools in the preferences. With this, you can have the same line number centered in emacs.

There could be something similar for vi too, though I have not explored this route.

Could this be a good compromise?


Thanks for this insight. Can you kindly also suggest a good book for someone to start with Bayesian Statistics? I could really use a suggestion about first and second book on this.

About Probabilistic Graphical Models, is there book other than Daphne Koller's book that you would suggest?


I think PGM's are covered by a lot of "standard" ML texts -- someone else mentioned Murphy's book which is great and is humongous but is a good reference for pretty much every method under the sun.

Bishop's Pattern Recognition and Machine Learning has a chapter thats free online: https://www.microsoft.com/en-us/research/wp-content/uploads/...


I'd just like to add that the entire PRML book is now free online, not just the sample: https://www.microsoft.com/en-us/research/uploads/prod/2006/0...


Introduction to Statistical Learning

https://faculty.marshall.usc.edu/gareth-james/ISL/

Elements of Statistical Learning

https://web.stanford.edu/~hastie/ElemStatLearn/

Machine Learning: A Probabilistic Perspective

https://mitpress.mit.edu/books/machine-learning-1


"Machine Learning: a Probabilistic Perspective" is more an encyclopedia of algorithms I would say, and it has lots of typos. I personally would not recommend it (except for the amount of algorithms that it covers, many of which are usually not found in other books).


Thanks for early warning. Will have to keep that in mind.


Are those really the best starts for "Bayesian statistics"?

Especially the first 2 are rather the standard "intro to ML textbooks", with a frequentist focus (ISL may even have zero Bayesian stuff - Naive Bayes is not "Bayesian" – while ESL still has maybe 10% bayesian content if that).

Instead, I would suggest the following for learning Bayesian methods, especially given the HN crowd: https://github.com/CamDavidsonPilon/Probabilistic-Programmin...


You make a good point. It's been a while since I flipped through them, they just come up in lots of discussions on this topic. I agree that the series you link to is really great for PPL and Bayesian methods. You may find that the library upon which it's based (PyMC3) is built on top of Theano, which has been abandoned and deprecated. PyMC4 is around the corner and uses TensorFlow Probability. Early, informal reports say it's 10x faster.


Thanks a ton for these. Added this to things I know that I don't know list. ;)


I took a course on Applied Bayesian Statistics taught by David Draper in grad school and we covered Bayesian Data Analysis (Gelman et Al.) http://www.stat.columbia.edu/~gelman/book/ and Probability Theory and tbe Logic of Science by Ed Jaynes: https://www.amazon.com/dp/0521592712/ref=cm_sw_r_em_apa_i_v3...

The former is a much recommended book since it's very comprehensive and builds everything from the ground up and was the basis for the entire course. The latter is a beast of it's own and we simply covered what was effectively the first chapter as part of the course.


For Bayesian stats, "Statistical Rethinking" by McElreath is a masterpiece.


This should be the top comment, I'm reading his newly released 2nd edition and it is outstanding. Other mentions are -

  - Doing Bayesian Data Analysis (dog book)
  - Student's Guide to Bayesian Statistics
Slightly more advanced

  - Bayesian Data Analysis 3 (currently free! http://www.stat.columbia.edu/~gelman/book/)


Thanks, everyone, for your kind suggestions. Much appreciated.


+1


While at that price point, many other, more feature complete devices become available, the ePaper devices do have their own niche.

I tried to use iPad Pro as a full-time note-taking device and found that after writing on it for up 3-4 hours during the day, my eyes get very tired by the evening. I tried various things to mitigate it, such as using dark background, changing brightness etc, and nothing seems to help enough to make iPad a notebook replacement.

I absolutely love the functionality offered by iPad-like device such as reading Kindle, browse web, notes taking, PDF annotation, scanner apps etc. I absolutely want to be able to use it as single device to hold all my hand-notes and downloaded or scanned documents. But can't avoid the eye strain.

Devices like reMarkable etc can be used at length if your ask is just to carry around all your notes. I have misplaced all my notes from grad school days. I would love an easy way to be able to write and archive for posterity all my notes.

I personally settled for Onyx Boox Max 3. It is at way higher price point, but is more functional - has Kindle, OReilly apps etc and quite functional note taking app.

I tried the earlier version of reMarkable ran into a limitation that limited its usability for me. It did not allow copying a section of text and pasting it into a new document. I might be mis-remembering, but I think it did not even allow pasting a copied section of a note into a new page in the same notebook. All this severely limited what I could use it for. It was just a paper replacement, and not much more.

Boox Max 3 did not have these limitations. Whats great about iPad-like devices is that you don't even expect that you will run into these corner cases.

I hope this update to reMarkable add such small features that increase the usability. I absolutely hope that these kind of devices succeed. They are a solution to the problem of keeping and carrying with you a separate set of notes on varied topics where no single paper notebook would do justice, and they are usable for very long stretches of time with no more eye strain than with using paper.


> Onyx Boox Max 3.

Can you tell me if the Onyx Boox Max 3 works with USB-C to USB-C cables? I had a Onyx Boox Nova and it was noncompliant somehow, I had to only use the USB-C to A cable that came with it. I ended up selling it for that reason -- I didn't want to carry around a single cable just for this device when all my other devices are USB-C.


This is a 15-min portion from the complete hour and a half version, if that helps

https://www.youtube.com/watch?v=cZFhjMQrVts

Not here to state an opinion about Joe Rogan one way or the other, but listening to an expert who has thought about crises like these and dealt with other epidemics can be helpful.


It is not Joe Rogan, but the person he is talking to - Michael Osterholm (https://en.wikipedia.org/wiki/Michael_Osterholm), that is of interest in that podcast.


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