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Automating deployments on Proxmox with OpenTofu and cloud-init
04.12.2024
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Rubén Llorente ... " { 11 endpoint = "https://192.168.3.15:8006/" 12 username = "root@pam" 13 password = "proxmox" 14 insecure = true 15 tmp_dir = "/var/tmp" 16 17 ssh { 18 agent = true 19 } 20
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Go testing frameworks
05.08.2024
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= [size][size]int {{0},{0},} 08 09 for i := 0; i < size; i++ { 10 for j := 0; j < size; j++ { 11 array[i][j]++ 12 } 13 } 14 15
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Podman for Non-Root Docker
05.08.2024
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relative to the base container, ubuntu , changed significantly just by adding in the GCC compiler. Listing 5: Build Process $ podman build -t ubuntu-dev -f Dockerfile . STEP 1/2: FROM ubuntu STEP 2/2: RUN
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Code IaC for provisioning of preconfigured virtual environments
26.01.2025
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.DevCenter/devcenters/attachednetworks@2024-02-01' = { 18 name: networkConnection.name 19 parent: devcenter 20 ... } 21 22 resource devcenterGalleryImage 'Microsoft.DevCenter/devcenters/galleries/images@2024-02-01' existing = { 23
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Introducing the NoSQL MongoDB database
04.12.2024
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Photo by Wesley Tingey on Unsplash
"], 08 "serviceHistory": [ 09 { 10 "date": "2023-01-15", 11 "serviceType": "Oil change", 12 "dealer": "BMW Service Center" 13 }, 14 { 15 "date": "2023-06-20", 16
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Web applications with Julia
26.01.2025
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.0.0.1", PORT) do ws 08 for msg in ws 09 d = Meta.parse(JSON.parse(msg)["s"]) 10 @info d 11 @info typeof(d) 12 WebSockets.send(ws, """

You picked $d

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Getting started with AI
26.01.2025
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version isn't even 3.x. I haven't tested the code with Keras 3.x yet, so your mileage may vary if you go that route. CIFAR-10 The model and dataset I use is CIFAR-10 [6]. It is a very common dataset
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Keras: Getting Started with AI
03.12.2024
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, MaxPooling 2D : model.add(layers.BatchNormalization()) model.add(layers.MaxPooling2D(pool_size=(2,2))) A max pooling layer has a pool size, 2x2 in this case, that is used to scan the entire input image (left
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Flexible backup for large-scale environments
05.08.2024
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-consuming task, which is why license models by volume or processor performance are not a good fit for university operations. The current hardware comprises two x86 servers running Solaris 11.4, which have access