Majid alDosari @msdtechcode

interested in scientific computing and data science. May also be somewhat of a python zealot. about.me/majidaldosari Washington DC area Joined April 2014

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Majid alDosari @msdtechcode

8 months ago

with module change autorun, the ability to use your own editor, and exporting to scripts, @marimo_io has merged data science tooling with software engineering tooling!

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The feedback loop you get when using @marimo_io is insane! I recently had the deepest feeling of being in the zone when trying to solve a data analysis problem. Thank you @akshaykagrawal. I consider this to be a *MAJOR* development in the @PyData stack. (@DVCorg last mjr dev)

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Majid alDosari @msdtechcode

a year ago

I'm seeing a maturation of the @PyData stack. env mgt, project mgt, notebooks, data pipelining, distributed compute, viz, dataframes, tensor computation, are the "baseline" problems that seem to be essentially solved to me. what else is there??

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Majid alDosari @msdtechcode

a year ago

best @PyData tooling progress i've seen in ~24 months, @marimo_io , @quarto_pub , @mitsuhiko (rye), @astral_sh (ruff), @prefix_dev (pixi).

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Majid alDosari @msdtechcode

a year ago

Why do so many mathematicians insist on pdf renders of latex some 30+ years after the www?

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Majid alDosari @msdtechcode

2 years ago

wow so #nix is 20 years old and it went under the radar of VM *and* containerization and devops eras! seriously, #nix had the right fundamentals from the start!

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Majid alDosari @msdtechcode

3 years ago

are we witnessing the "great rewrite of the scientific programming stack" in #rustlang ? #pydata

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Majid alDosari @msdtechcode

3 years ago

is it time to merge the concepts of containers and virtual environments?

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Majid alDosari @msdtechcode

3 years ago

What's the difference between virtual environments and containers these days? Containers have become so thin. An isolated file system?

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Majid alDosari @msdtechcode

3 years ago

Theory: scientific computing benefits more from software engineering advances than purpose-built tools. Purpose built: #Rlang, #Fortranlang, #JuliaLang . General but used in scientific computing: C, #pythonlang, ... And now it looks like #rustlang will take more from Julia.

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Majid alDosari @msdtechcode

3 years ago

i don't think Jinja (arbitrary templating) and YAML (structured data), together, in the same file, make sense.

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Majid alDosari @msdtechcode

3 years ago

'mutable data' is an oxymoron: data are immutable by definition, but data /structures/ can mutate.

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Majid alDosari @msdtechcode

3 years ago

don't use #python #objectoriented inheritance mechanisms to create a taxonomy; use it to *compose*.

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Majid alDosari @msdtechcode

3 years ago

why, when subclassing (general>specific...supposedly), do you have to (explicitly) write `super().method()` and trigger the general in your specific method? i think the default should be that your general code applies. #Python #objectoriented

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Majid alDosari @msdtechcode

3 years ago

solution to "a monad is a monoid in the category of endofunctors" euclideanspace.com/maths/discrete…

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Majid alDosari @msdtechcode

4 years ago

lambda

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Majid alDosari @msdtechcode

4 years ago

category theory: (unified) mathematics API

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Majid alDosari @msdtechcode

4 years ago

from dataclasses import dataclass as _ dataclass = lambda *p,**k: _(*p, frozen=True, **k) dataobject = lambda *p,**k: _(*p, frozen=False, **k) datastruct = attrib2val = dataobject # ? @PyData

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Majid alDosari @msdtechcode

4 years ago

it looks like python metaprogramming facilities (whether built-in or hacked on) are the connection to a more formal way of programming (choose your formalism). can't decide if having a 'tacked on' 'formal layer' is a good or bad thing. might lead to decorator overload. @PyData

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Majid alDosari @msdtechcode

4 years ago

with today's adv. linters and IDEs, why wouldn't the following scenario be possible? novice: wow python is easy! > pylist=[i for i in range(♾)] > nplist=np.array(pylist) numpy: ugggh mutable, list of (untyped) objects clippy: looks like you should just use np.range @PyData