skrb

import java.io.IOException;
import javafx.application.Application;
import javafx.scene.Scene;
import javafx.scene.layout.StackPane;
import javafx.scene.web.WebEngine;
import javafx.scene.web.WebView;
import javafx.stage.Stage;

public class Test extends Application {

colanconnon

FROM continuumio/miniconda3


ENV APACHE_SPARK_VERSION 2.3.1
ENV HADOOP_VERSION 2.7

RUN apt-get -y update && \
    apt-get install --no-install-recommends -y openjdk-8-jre-headless ca-certificates-java && \
    apt-get clean && \
    rm -rf /var/lib/apt/lists/*

salilsaxena

We will not be using anacond, just classic old pip3
Works on python <= 3.8
Recomended OS: Fedora29(Have reached End of Life), Ubuntu 18.04(End of life: 2023). You can also use Later versions of same OS.
Step 1:
 Install Nvidia Propiatary Drivers:
  For ubuntu: link[https://medium.com/@redowan/no-bullshit-guide-on-installing-tensorflow-gpu-ubuntu-18-04-18-10-238924cc4a6a]. //Just follow the part where he shows how to install drivers.
  For Fedora using optimus: link[https://www.reddit.com/r/Fedora/comments/ga1ek6/optimus_setting_the_nvidia_gpu_as_primary/]. I personally stopped before Step 8(in tutorial).
 I know they are Lenghty process(may require several Reboots, but stay with me.
Step 2:
 Install Cuda10.1 for tf2.2 and tf1.15{only for python<3.8}, using this link1[https://developer.nvidia.com/cuda-10.1-download-archive-base?target_os=Linux]. A local .deb/.rpm method is recomended.

htcai

Acknowledgement

This blog benefits a lot from the helpful guidance from mdda and wangruohui.

Notice

Desktop environment sensitivity

The strategy presented below applies to the default desktop environment GNOME3 of Fedora 27, but may not work for others such as KDE Plasma. For instance, KDE tends to crash after installation of NVIDIA drivers. Actually, this is also confirmed by my own recent experience with Fedora KDE Plasma.

syaffers

import os
from sklearn.preprocessing import LabelEncoder
from torch.utils.data import Dataset
import torch

class TESNamesDataset(Dataset):
    def __init__(self, data_root, charset):
        self.data_root = data_root
        self.charset = charset
        self.samples = []

NikkiSmit

Date	 Quantity
2009-01	 168,00 
2009-02	 177,00 
2009-03	 198,00 
2009-04	 193,50 
2009-05	 181,50 
2009-06	 202,50 
2009-07	 222,00 
2009-08	 222,00 
2009-09	 204,00 

yzhong52

• Client (Customer)
• Load Balancer (Greeter)
• Data Center (Coffee Shop)
• Distributed Message Queue (Bulletin Board w/ Sticky Notes)
  • Producer (Cashier)
  • Consumer (Barista)
• Database (Ledger Book)

hslatman

Fluent-bit rocks

A short survey of log collection options and why you picked the wrong one. 😜

Who am I? Where am I from?

I'm Steve Coffman and I work at Ithaka. We do JStor (academic journals) and other stuff. How big is it?

Number	what it means
101,332,633	unique visitors in 2017

marco79cgn

let country = "de"; // replace with 'at' for shops in Austria
let storeId = 251;
let param = args.widgetParameter;
if (param != null && param.length > 0) {
  if (param.indexOf(";") > 0) {
    const paramSplit = param.split(";");
    storeId = paramSplit[0];
    country = paramSplit[1].toLowerCase();
  } else {
    storeId = param;

rgkobashi

Foundations of the SOLID principles (Episode 8)

• Design smells:
  • Immobility
  • Viscosity: how easy is to add design-preserving code to a system
  • Needles complexity
• Dependency management principles:
  • SOLID
  • Component cohesion principles
  • Component coupling principles