Ciro Santilli @cirosantilli 37

Integrations React integration:

Recommended by Ron Maimon at physics.stackexchange.com/questions/18632/good-book-on-the-history-of-quantum-mechanics/18643#18643.

Julian Schwinger's selection of academic papers by himself and others.

so the solution is:We notice that the solution has continuous spectrum, since any value of $E$ can provide a solution.

Their txt formats are so crap!

E.g. for;a good one is:

The ( +)? is for the endlessly many quoted letters they have, which use four leading spaces per line as a quote marker.

God, I love this company so much.

Talk title shown on intro: "Today's Answers to Newton's Queries about Light".

6 hour lecture, where he tries to explain it to an audience that does not know any modern physics. This is a noble effort.

Part of The Douglas Robb Memorial Lectures lecture series.

Feynman apparently also made a book adaptation: QED: The Strange Theory of Light and Matter. That book is basically word by word the same as the presentation, including the diagrams.

According to www.feynman.com/science/qed-lectures-in-new-zealand/ the official upload is at www.vega.org.uk/video/subseries/8 and Vega does show up as a watermark on the video (though it is too pixilated to guess without knowing it), a project that has been discontinued and has has a non-permissive license. Newbs.

4 parts:This talk has the merit of being very experiment oriented on part 2, big kudos: how to teach and learn physics

A generalization of the Pythagorean triple infinity question.

This is the hardest one to do iteratively.

Bibliography:

www.physics.udel.edu/~jim/PHYS424_17F/Class%20Notes/Class_5.pdf by James MacDonald shows it well.

The operators are a natural guess on the lines of "if p and x were integers".

And then we can prove the ladder properties easily.

The commutator appear in the middle of this analysis.

10 2-hour lessons.

Lecturer: Leonard Susskind.

What it adds on top of reverse debugging: not only can you go back in time, but you can do it instantaneously.

Or in other words, you can access variables from any point in execution.

TODO implementation? Apparently Pernosco is an attempt at it, though proprietary.

Conda is like pip, except that it also manages shared library dependencies, including providing prebuilts.

This has made Conda very popular in the deep learning community around 2020, where using Python frontends like PyTorch to configure faster precompiled backends was extremely common.

It also means that it is a full package manager and extremely overbloated and blows up all the time. People should just use Docker instead for that kind of stuff: www.reddit.com/r/learnmachinelearning/comments/kd88p8/comment/keco07k/

You also have to buy a license to use their repos if you are part of a large-enough organization: stackoverflow.com/questions/74762863/are-conda-miniconda-and-anaconda-free-to-use-and-open-source