| 127.0.0.1 media-match.com | |
| 127.0.0.1 adclick.g.doublecklick.net | |
| 127.0.0.1 www.googleadservices.com | |
| 127.0.0.1 open.spotify.com | |
| 127.0.0.1 pagead2.googlesyndication.com | |
| 127.0.0.1 desktop.spotify.com | |
| 127.0.0.1 googleads.g.doubleclick.net | |
| 127.0.0.1 pubads.g.doubleclick.net | |
| 127.0.0.1 audio2.spotify.com | |
| 127.0.0.1 www.omaze.com |
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title></title> | |
| </head> | |
| <body> | |
| <video></video> | |
| <br/> | |
| <input type="file" name="file" id="fileItem" onchange="onChange()" > |
| #!/bin/sh | |
| versionMaj="1" | |
| versionMin="0" | |
| versionRev="1" | |
| version="$versionMaj.$versionMin-$versionRev" | |
| echo "Removing old Postman tarballs" | |
| rm -f $(ls Postman*.tar.gz) |
| import javafx.collections.ObservableList; | |
| import javafx.geometry.Bounds; | |
| import javafx.scene.Node; | |
| import javafx.scene.chart.PieChart; | |
| import javafx.scene.layout.Pane; | |
| import javafx.scene.paint.Color; | |
| import javafx.scene.shape.Circle; | |
| public class DoughnutChart extends PieChart { | |
| private final Circle innerCircle; |
| // ==UserScript== | |
| // @name adf.ly Auto Skip Ad | |
| // @namespace http://github.com/janglapuk | |
| // @version 0.5 | |
| // @description Let you ignore the bunch of ads :] (simple and optimized rev) | |
| // @author janglapuk | |
| // @match http://adf.ly/* | |
| // @require http://code.jquery.com/jquery-3.2.1.slim.min.js | |
| // @require https://gist.githubusercontent.com/raw/2625891/waitForKeyElements.js | |
| // @updateURL https://gist.github.com/janglapuk/790470741a39a0f2301b27d234e6a9cc/raw/adfly-skipper.user.js |
In addition to the charts that follow, you might want to consider the Frequently Asked Questions section for a selection of common questions about MongoDB.
The following table presents the MySQL/Oracle executables and the corresponding MongoDB executables.
| # List unique values in a DataFrame column | |
| pd.unique(df.column_name.ravel()) | |
| # Convert Series datatype to numeric, getting rid of any non-numeric values | |
| df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True) | |
| # Grab DataFrame rows where column has certain values | |
| valuelist = ['value1', 'value2', 'value3'] | |
| df = df[df.column.isin(valuelist)] |
| Class Main { | |
| public void bfs() | |
| { | |
| // BFS uses Queue data structure | |
| Queue queue = new LinkedList(); | |
| queue.add(this.rootNode); | |
| printNode(this.rootNode); | |
| rootNode.visited = true; | |
| while(!queue.isEmpty()) { | |
| Node node = (Node)queue.remove(); |
| # =============== # | |
| # Unity generated # | |
| # =============== # | |
| [Tt]emp/ | |
| [Oo]bj/ | |
| [Bb]uild | |
| /[Bb]uilds/ | |
| /[Ll]ibrary/ | |
| sysinfo.txt | |
| *.stackdump |
| #!/bin/bash | |
| # | |
| # Credits to fuckbecauseican5 from https://www.reddit.com/r/hackintosh/comments/4s561a/macos_sierra_16a238m_install_success_and_guide/ | |
| # Adapted to work with the official image available into Mac App Store | |
| # | |
| # Enjoy! | |
| hdiutil attach /Applications/Install\ macOS\ Sierra.app/Contents/SharedSupport/InstallESD.dmg -noverify -nobrowse -mountpoint /Volumes/install_app | |
| hdiutil create -o /tmp/Sierra.cdr -size 7316m -layout SPUD -fs HFS+J | |
| hdiutil attach /tmp/Sierra.cdr.dmg -noverify -nobrowse -mountpoint /Volumes/install_build |
