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#!/usr/bin/env bash | |
GATEWAY=gateway.company.com | |
DOMAIN=company.local | |
RESOLUTION=1920x1080 | |
if [ -z "$1" ]; then | |
read -p "Computer name (e.g. CP1234): " COMPUTERNAME | |
else | |
COMPUTERNAME=$1 |
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#!/usr/bin/bash | |
# ---------------------- | |
# 00-common-vars.sh | |
# ---------------------- | |
# =========== CONFIG ============= | |
# Assuming we'll set the Dropbox folder to ~/Dropbox | |
DROPBOX_FOLDER=$HOME/Dropbox | |
# ================================ |
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# Predict the survival of RMS Titanic passengers using logistic regression. | |
# Based on Kaggle Titanic dataset: https://www.kaggle.com/c/titanic/data | |
# | |
# You might need to install Amelia and ROCR packages. | |
cleanData <- function(rawData) { | |
# Uncomment these two lines to visualize the missing data. | |
# library(Amelia) | |
# missmap(trainingData, main="Missing vs. observed values") |
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#!/usr/bin/env bash | |
fetch() { | |
echo "Removing brew cache" | |
local cache=$(brew --cache) | |
rm -rf "$(brew --cache)" | |
mkdir "$cache" | |
mkdir "$cache/Casks" | |
echo "Running brew update" | |
brew update |
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#!/usr/bin/env bash | |
# Install or upgrade any JetBrains product on Linux, assuming it is distributed as a tarball | |
# and has the entry point at $INSTALL_DIR/bin/$PRODUCT.sh | |
# Tested on IDEA, PyCharm, CLion, DataGrip 2016-2018.* | |
# Usage: | |
# install-jetbrains-product.sh [ProductName] [DownloadURL] | |
# | |
# Example: |
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#!/usr/bin/env python3 | |
""" | |
Save or restore X11 desktop window arrangement. | |
Requires the `wmctrl` package to work. | |
Examples: | |
window_arrange.py save | |
window_arrange.py restore | |
window_arrange.py --profile ~/.winlayout-home save |
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// This is an example of a C# application that uploads a CSV dataset to DataRobot, | |
// runs a classification project in autopilot mode and prints the leaderboard | |
// using the V2 REST API. Here you can also see an example of interacting with the | |
// asynchronous API routes (upload project, set target). | |
// Since the WebClient class has limited HTTP functionality, we use the newer | |
// Microsoft.Net.Http.HttpClient class. Its methods are async; as a result, | |
// the C# code uses asynchronous operations too. | |
// You may need to install the following packages for this code to work: |
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@echo off | |
rem ===== Run this first: ===== | |
rem @powershell -NoProfile -ExecutionPolicy Bypass -Command "iex ((new-object net.webclient).DownloadString('https://chocolatey.org/install.ps1'))" && SET PATH=%PATH%;%ALLUSERSPROFILE%\chocolatey\bin | |
rem choco feature enable -n=allowGlobalConfirmation | |
rem mkdir C:\Tools | |
rem choco install -y toolsroot | |
rem =========================== | |
rem ----- Essentials ----- |
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#!/usr/bin/env python3 | |
# -*- coding: utf-8 -*- | |
import pandas as pd | |
input_filename = 'https://raw.githubusercontent.com/devua/csv/master/salaries/2018_june_final.csv' | |
output_filename = '2018_june_final_eng.csv' | |
df = pd.read_csv(input_filename) |
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""" | |
Converts subtitles in a video from any format to plain text using ffmpeg. | |
Reads all files that match a glob pattern. | |
Writes output to current directory unless specified otherwise. | |
Usage: convert-subtitles.py <input_pattern> [output_folder] | |
Example: convert-subtitles.py ~/Videos/*.mkv | |
""" | |
import glob |