Shaggar posted:

the best way to learn maven is to work with someone who knows maven. the second best way is to just use it.

MononcQc posted:

I have a plugin thing that runs the Erlang compiler when I save a file.
then syntax highlighting, using a specific theme, tab/spaces, making trailing spaces, tabs, and nbsps show up as visible characters.
then setting so search is case insensitive by default, new tabs = new buffers, and finally, the necessary undo tree visualisation.

MALE SHOEGAZE posted:

How the gently caress do you guys using vim without plugins navigate your file structure without ctrl p, unite, or need tree

Symbolic Butt posted:

duTrieux. posted:

javascript. i have a stack of variables which are all almost, but not quite, the same. (e.g. whatever_1, whatever 2, etc.) i need to iterate through them. right now i'm just building the variable names as strings and then slapping them into an eval() because idgaf

is there a better/more elegant way to do this?

tef posted:

once i realised that the code that was the most aesthetically pleasing was also the most unfriendly to beginners or new people to a code base, often hard to find somewhere to start, or relying on a very very clever and well greased abstraction

i've become a lot more sloppy where i know there isn't really a corner to cut but just a bikeshed to paint

MononcQc posted:

Embedding web servers totally makes sense if your platform is able to do it in non-idiotic ways.

Notorious b.s.d. posted:

it just works, until you want your data back

Subjunctive posted:

sure, but my point is that mongo isn't irredeemable, as is the thesis in this thread. "mongo is good for X, watch out for Y" versus "it is the dev of null".

Subjunctive posted:

I'm sure nothing has changed in a couple of years.

I don't like mongo either, but the reasoning in the thread seems pretty shallow

Shaggar posted:

you company runs on its reporting and your reporting runs on your data. do not let your application decide how the data works. ever.

MononcQc posted:

bits of this keynote might be relevant to people calling themselves terrible in here and believing it 100%:

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

Papes posted:

I guess the moral of the story: getting a job is not so much of what you know, but who you know and how likeable you are.

coffeetable posted:

if you're comfortable with basic linear algebra and vector calculus, Machine Learning: A Probabilistic Perspective.

if you're not comfortable with linear algebra or vector calculus, start with Vector and Geometric Algebra, then Vector and Geometric Calculus, then possibly Linear Algebra Done Right just to get a different perspective, then Machine Learning: A Probabilistic Perspective.

quote:

The most popular algebraic structure today for Euclidean n-space is the inner product space Rn

coffeetable posted:

for some reason i thought testiclops had a numerate background already, looking back idk why I thought that

if you haven't done any maths since high school, the place to start is Stroud's Engineering Mathematics. it starts with basic arithmetic and works very slowly through to multi variable calculus.

even then, i forgot how intimidating maths writing can be. sorry! will look for a good 'bridge' book when i get home, have forgotten what i used originally

gonadic io posted:

I bet you say "on accident" and "could care less" too.

coffeetable posted:

MACHINE LEARNING AND MATHS

• next you need a book that transitions you from high-school applied maths to undergraduate proof-based maths. i have completely forgotten what i used to make the hop, and i don't want to recommend anything without checking it myself. will come back and edit something in later.
  

coffeetable posted:

i did; it turns out my first courses on maths at uni were supported just by notes. notes that are, in hindsight, not that great. instead im gonna say go with How to Prove It: A Structured Approach. it wasn't the first book on proof i read, but it's one of the best. the stuff it covers isn't directly relevant to linear alg or ML, but it turns up all over the place anyway and i think it works well as a friendly intro to mathematical thinking.

that said, the foundations of maths are pretty wide. you can get into logic, probability, set theory, graph theory, real analysis (think of 'analysis' as 'rigorous calculus' for now), discrete maths (combinatorics/counting) and a bunch of other stuff without needing much in the way of prerequisites, and they'll all serve well as intros to mathematical thinking. if any of those pique your interest, the easiest way to tell if you can handle a maths book is to read the preface (where the author will usually mention the audience it's intended for) then try to read the first chapter (usually titled 'preliminaries' or w/e) on Amazon or the author's website or LibGen. if it all seems very easy, you're probably ready for it. if there's stuff you're unfamiliar with in the first few pages, back off and find a more foundational book.

nb: books for fresh undergrads are commonly titled 'a first course in'/'introductory'/'foundations of', but so are books for fresh postgrads. read the first chapter before buying!

Luigi Thirty posted:

terrible wacky database janitor/developer job 90-day trip report: "so we just assign you the fix my database tickets nobody can figure out and you blow through them and never have a backlog, great job. you're the only one who like documents anything ever so keep doing that. oh also you're added to the list of people who handle our internal fix my database tickets too, the only other person on the list has been here for 3 years"

Janitor Prime posted:

Do you also work at Amazon?

Soricidus posted:

so instead of having an insecure unpatched libxml2 that you don't know about that some module built from source, you have an insecure unpatched libxml2 that you don't know about that some module bundled as a binary?

also we have to live in the real world, where a lot of python runs on linux and distributing binaries for linux is painful to say the least