The ticket is already open and I guess on the queue, and I already have a couple of more important tickets at front (some databases I want to access directly from python, instead of having to use excel to generate the queries and the export from it).
In this new job I’m also looking up for the devops access (they even have github completely blocked on the corporate network) and I’m hoping I can connect it somehow with VS Code (in the pass one I couldn’t)
I’m my past job we had Azure-devOps, i tried to upload an jupyter notebook but it didn’t recognized it was a jupyter notebook and show the file as a JSON and it was not nice to work with, I had to export the notebooks as python scripts to get it working fine. In my new job, I’ll still waiting for the IT team to approve and set up something for me.
That has to be a joke, no?
Im an actuarie but everything I do is kn python jupyter notebooks,and I would like to do keep using them and use some git/version control with them. Is any good way to do that? Or are jupyter notebooks not git friendly?
Don’t remember what language uses === to check if two objects have the same memory id assigned. Like a = 1, b= 1 would give true to a == b but false to a === b; while a = 1, b = a, would give true to both.
Tomato keep being casted as fruit, even that for any practical purpose it should be as vegetable
I only remember two of my professors using it, and I has to ask the first one what that mean and explain to my classmates on the second one.
Some people in mathematics use := to assign functions, like f(x) := x^2; then when evaluating the function you use f(2) = 4, because it can be ser as a “true” comparison
Parts of old games.
In the same way that a developer should program things that are user proof, language developers should program languages that are dev proof.
Imo is more intuitive the need of () in print,like is a function like any other, why would not use ()?
But what about the pleasure of starting any project with “import pandas as pd”?
One of the things that frustrated me more with python, coming from R and Julia, was that the math and statistics functions weren’t default. But after learning more, and learning the math, numpy, scipy and others started yo like that, there’s different projects working on the same and you pick and choose what works better for you.
I was doing a job interview and the manager asked me why I choose python over other languages like R, like if I tough that python was the best language or what? I answered that python is not the best language for anything, for any job you want there’s a better language, but python is the second best one for everything, so it offers a flexibility that no other language can. Like in my actuarial sciences MBA, all the professors use R, for 99% of they do I have an equivalent library in python, for the 1% that don’t I can use rpy2 and run R code directly in python. Guess they liked my answer because I was approved and I’m about to start there in October.
I had the fortune of being hired to build up from zero my department, and one of the first “rules” I made was all dates are ISO-8601 and now every process runs with 8601, if you use anything different your code is going to fail eventually when it finds another column date in 8601.
Is based on the Java island coffee, the preferred variation of James Gosling. This is why the Java logo is a cup of coffee.
Edit: I made that up, but looks like it’s true?
My professor uses Openboard and it’s look really good
Yeah, there’s a bunch of humans called Julia.
VS code can export and import from a to jupyter notebooks, but there’s some kind of bug and the imported notebooks always keep a ## % on each cell (not a high deal, but is annoying because subsequent exports/imports think they are cells to be created)