@sha_coding

Neuigkeiten über meine Projekte, Blogeinträge. Aktuelles Projekt: Barrierefreie Inhalte coden. Austausch jederzeit willkommen.

Joined December 2020
  • Tweets415
  • Following73
  • Followers33
32Media
First time installing #ArchLinux
1
1
1
121
I use Arch, btw.
1
14
Replying to @david_nix
Live coding is such a bad idea. Nobody, and I mean nobody, thinks straight when someone else is watching them work. I type 100wpm and if you walk up behind me, it's like all my fingers switched places with each other.
27
41
3
2,042
121,822
Finally got the time and motivation to work om my Dancer2 app and made some progress. Managed to build the database request for checking the login credentials from the web form.
3
24
Huh, MetaCPAN has an online Pod previewer for any Pod you care to put in the form: metacpan.org/pod2html
1
2
13
851
Did you know that #LibreOffice has a built-in QR and barcode generator? Now you do 😉 help.libreoffice.org/latest/…
25
187
4
965
38,142
In my oppinion, this is surely one of the rare cases nowadays where Machine Learning has been applied to a problem where it actually fits to.
Formula Data Analysis
@FDataAnalysis14 Apr 2024
Remember the Machine Learning model that tried to predict undercut attempts?🤖 Fantastic news: all the scripts and the 114-page report have been uploaded to GitHub!😁 You will find it here👇 github.com/laurence9899/F1_P… Kudos to @HearneLaurence for creating it!

GitHub - laurence9899/F1_Pitstop_Predict_ML: A TensorFlow Model which produces a probabilistic...

A TensorFlow Model which produces a probabilistic output of a Driver pitting on the current lap. - laurence9899/F1_Pitstop_Predict_ML

github.com
2
22
Remember the Machine Learning model that tried to predict undercut attempts?🤖 Fantastic news: all the scripts and the 114-page report have been uploaded to GitHub!😁 You will find it here👇 github.com/laurence9899/F1_P… Kudos to @HearneLaurence for creating it!

GitHub - laurence9899/F1_Pitstop_Predict_ML: A TensorFlow Model which produces a probabilistic...

A TensorFlow Model which produces a probabilistic output of a Driver pitting on the current lap. - laurence9899/F1_Pitstop_Predict_ML

github.com
Formula Data Analysis
@FDataAnalysis11 Apr 2024
Can Machine Learning help F1 engineers predict an undercut attempt?🤔 @HearneLaurence contacted me about it, and later produced a model doing that!🤖 Solid lines: driver's pitting probability🔮 Dashed lines: the real pit The model predicted HAM pitting, and LEC covering it!💡
2
18
3
229
67,207
Taking my first steps in #Perl #Mojolicious - looking good so far.
1
16
Automate all the things!
21
381
67
2,437
110,710
Exciting news, OTOBO 11 Beta is out, otobo.de/de/otobo-11-beta/ . The release party wasn't bad either. #OTOBO
1
1
57
Did you know: The form attribute on an input element can be used to emulate nested forms, or to place it outside a form but still be posted with it.
40
136
30
1,212
115,504
every html element with an id tag like <div id="thing"> automatically defines a js variable with the same name in the global scope, referencing that element this feels like forbidden knowledge I wasn't supposed to find
69
147
39
2,685
168,350
Neovim is officially old! 10 years ago, Thiago de Arruda pushed the first commit to neovim/neovim. The work continues...
15
157
24
1,356
89,060
Stefan retweeted
Grauhut@grauhut9 Jan 2024
IT Chef: "Was machen wir mit KI? Und wo können wir sie einsetzen?" "Wir könnten sie nutzen um aktuelle IT Trends im Auge zu behalten, damit wir nicht auf Hypes reinfallen, die uns nur sinnlos Geld kosten." IT Chef: "Guter Vorschlag!"
6
16
146
5,109
It's exciting to use the telegram bot api. I wrote a bot backend in Perl, which has a simple plugin mechanism for separating code of various purposes. The mechanism can surely be improved very much, but the bot can already ask bible questions 😊
1
2
48
Vim turns 32 today! 🎂 🐧 Share your experience with Vim 🙂 #opensource
84
383
72
1,900
173,490
When you're a developer and refuse to compromise on keyboard comfort and productivity 👨🏽‍💻 Proper key feedback and a second screen are essentials, right?
2
6
1,136
When I started using Linux, I wondered why anyone would ever want to build a program themselves on their machine. When I started using neovim, I understood. Latest stable release: 0.9.x Flatpak version: 0.7.x Apt repo: 0.5.x
1
1
2
115
So, if I want to use some basic plugins, I'd either build or have to deal with flatpak. If I don't want to deal with flatpak or want to use some more modern plugins, there is no other choice than to build it myself. (Also, building is way easier than I thought.)
1
18
Load more