- Joined
- Aug 23, 2019
They are just so easy to update and access from different devices because browser developers handle compatibility for them.Like it or not, making everything an embedded web app is the future
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They are just so easy to update and access from different devices because browser developers handle compatibility for them.Like it or not, making everything an embedded web app is the future
If only we lived in a perfect world where shit like GTK worked on phones too.They are just so easy to update and access from different devices because browser developers handle compatibility for them.
take breaks and break up things in manageable chunks.I've been trying constantly to learn vanilla javascript MVC but I just cant do it. I feel like im getting burned out. How do you guys avoid getting burn out when your learning something hard? Also what would you do if you were in my situation?
Bounce between multiple projects to keep freshI've been trying constantly to learn vanilla javascript MVC but I just cant do it. I feel like im getting burned out. How do you guys avoid getting burn out when your learning something hard? Also what would you do if you were in my situation?
Worked with HR people.Reading this is giving me war flashbacks. At least I was able to get my Grandma to install Teamviewer on her laptop back in the early 2010s. If this sort of thing doesn't stem from a person's laziness, it's usually a sort of learned helplessness that is extremely prevalent in society today. It's much easier to say "Durr... computers lol amirite?" instead of putting in effort and possibly failing at something when you have some (often unpaid) helper monkey to do it all for you. That recent South Park special where no one knows how to do shit anymore, despite the iffy content over the past few years, was spot on.
I work mainly with a WinForms/WPF thick client, so it's necessary, and since most of the thick client's libraries are targeted to the .NET standard, they are reusable for Xamarin apps. It makes it an easy choice for our thick client on our mobile apps.Any .NET frontend devs here?
I've been learning Xamarin / MAUI for the past few months and it's pretty painful coming from web development.
I'm also wondering if there's even a point in learning it anymore. MS seems to be pushing Blazor more and more. There now is also a Blazor-MAUI Hybrid project setup with lets you run Blazor as native desktop or mobile apps (kinda like Electron or React Native for web apps).
Corporate IT is also moving to web / cloud apps everywhere.
What do you guys think?
Is it still worth learning any XAML-based framework? Or am I just wasting my time?
If you copy some data from Excel, and you want to paste that data into Excel, as values, and some of the cells that you copied had formulas that usedEveryone was doing weird stuff. Eg people would not paste without formatting; instead they would paste to notepad then copy-paste to the actual document.
=""
to be blank, those blank cells are not actually empty cells as far as charts are concerned (for the purpose of treating empty cells as "gaps" or "connect data points with line"). The chart pretends that they contain zeros.=NA()
, and then turn on "Show #N/A as an empty cell", but then the data would need to have a bunch of #N/A errors in it, instead of empty cells, and that would be fucking retarded.No the specific case I'm reffering to was in Word-likes.If you copy some data from Excel, and you want to paste that data into Excel, as values, and some of the cells that you copied had formulas that used=""
to be blank, those blank cells are not actually empty cells as far as charts are concerned. The chart pretends that they contain zeros.
But, if you paste to Notepad then copy-paste to the actual document, it works perfectly.
I'm guilty of that, I like using notepad++ to sanitise and standardise things.Eg people would not paste without formatting; instead they would paste to notepad then copy-paste to the actual document.
What is "vanilla JavaScript MVC"I've been trying constantly to learn vanilla javascript MVC but I just cant do it. I feel like im getting burned out. How do you guys avoid getting burn out when your learning something hard? Also what would you do if you were in my situation?
The package situation may not be as bad as in Javascript, but by God they're doing their best to change that.Doing ML shit is making me really despise Python, I'm not going to lie.
The libraries are just incredibly overbearing. They do not expose enough of the codebase effectively, so it's just a black box. Additionally, getting this shit to actually utilize my GPU has been a task and a halfThe package situation may not be as bad as in Javascript, but by God they're doing their best to change that.
I remember pasting copied portions Wikipedia articles into the URL bar of the Internet Explorer to clear formatting back when I was a kid doing school projects in Word. They had me fixing the few old computers we had when I was in elementary school. I can't think of a single instance where I would genuinely be helped by the copied formatting from the browser.Worked with HR people.
Everyone was doing weird stuff. Eg people would not paste without formatting; instead they would paste to notepad then copy-paste to the actual document.
The reason? "It just doesn't work sometimes"? They never bothered to diagnose these things. It just doesn't work I guess, the computer must be stupid...
granted, google docs, libra and word all have different way to paste without formatting, and word online is completely different from word on your pc, but still
I have said it before, perhaps even in this thread, but I am convinced that ML researchers write the most painful to read Python in existence. I think it may be due to a lot of them being statsfags who write barely working shit in R. My former colleagues when I was still doing research wrote code that was so bad, I had to insist they stop asking me for advice on how to fix it.Doing ML shit is making me really despise Python, I'm not going to lie.
I have horror stories of working with OpenAI gym models that I have to convert to Gymnasium or Stable Baselines code into Stable Baselines 3 code that it makes me want to never touch the damn thing ever again.Doing ML shit is making me really despise Python, I'm not going to lie.
I have said it before, perhaps even in this thread, but I am convinced that ML researchers write the most painful to read Python in existence. I think it may be due to a lot of them being statsfags who write barely working shit in R. My former colleagues when I was still doing research wrote code that was so bad, I had to insist they stop asking me for advice on how to fix it.
I will never use a IDE written in Electron ever. VS Code is complete garbage and somehow has worse performance than Atom (RIP) despite being supported by Microsoft. Sublime Text will still remain objectively the best lightweight text editor and it's all you need for most projects.VS Code.
The problem with Python for machine learning is not Python itself but the dependency hell it creates. I remember one time having 10 different Tensorflow packages installed across virtualenvs because each ML project had different tensorflow package requirements.Doing ML shit is making me really despise Python, I'm not going to lie.
Heh that brings back memories from uni days. Half the struggle of learning basic neural net models was getting the damn code to use the GPU and not the CPU. Did admittedly get fun watching the Apple fags attempt to do that on uni computers other students had already screwed with.The libraries are just incredibly overbearing. They do not expose enough of the codebase effectively, so it's just a black box. Additionally, getting this shit to actually utilize my GPU has been a task and a half
Can relate to this as well. Part of it I think is people using it without a firm grasp of programming fundamentals. ML is the flavour of the day so a lot of tangential fields are throwing it into thesis proposals without appreciating the underlying work required; they might have a strong grasp of the theory going into ML, but they lack the skills to put it into practice effectively. The result is kiddies whose whole programming experience might be simple R or Matlab scripts trying to build a legitimate program.I have said it before, perhaps even in this thread, but I am convinced that ML researchers write the most painful to read Python in existence. I think it may be due to a lot of them being statsfags who write barely working shit in R. My former colleagues when I was still doing research wrote code that was so bad, I had to insist they stop asking me for advice on how to fix it.