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Konfigurasi Sublime Text 3 Favorit

Dikumpulkan dengan penuh ❤︎︎ oleh Ian Mustafa.

Konfigurasi

Bisa diakses melalui Ctrl+Shift+P (atau ⌘+Shift+P di Mac).

{

rescenic

exphs Creates a Express Http Server exphms Creates a Express Http Module Style Server expcrudr Express CRUD Routes Structure expmhs Express Mongooose Http Server expmhms Express Mongoose Http modeule Style Server mmmts Mongoose Model for NodeJs module type style

Snippet Renders requ create require statement exstatic Express set the static folder

rescenic

SQL Queries :

SELECT ( get data from table )
---------------------------------
  SELECT <field_list>
  FROM <schema>.<table_name> AS <alias>
  <LEFT|RIGHT|FULL|INNER|OUTTER> JOIN <table_join_name> AS <table_join_alias>
  WHERE <where clause>
  GROUP BY <group by clause>
  ORDER BY <order by clause>

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# Download the source
git clone https://github.com/instructure/canvas-lms.git canvas
cd canvas
git checkout --track -b stable origin/stable
rbenv install –keep 1.9.3-p545
rbenv local 1.9.3-p545
brew install xmlsec1 postgresql
bundle install

# If you get this error: No source for ruby-1.9.3-p545 provided with debugger-ruby_core_source gem.

rescenic

StarUML 6 on Window/MacOS/Linux

• Step 1: Download and install StarUML Ver6 from main website https://staruml.io
• Step 2: Download app.asar file from https://drive.google.com/file/d/1_sKvHVL6SebnYF73iZxSWD9l48Pddzvj/view?usp=sharing
• Step 3: Copy app.asar file download in step 2 (Override app.asar file)
  • Window: C:\Program Files\StarUML\resources
  • MacOS: /Applications/StarUML.app/Contents/Resources/
  • Linux: /opt/StartUML/resources
• Step 4: Open StarUML app to use

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1. Burp Suite - https://portswigger.net/burp/communitydownload
2. OWASP ZAP - https://www.zaproxy.org/download/
3. sqlmap http://sqlmap.org/
4. Metasploit Framework - https://www.metasploit.com/download
5. Nmap https://nmap.org/download.html
6. Nikto https://github.com/sullo/nikto
7. Dirb - https://sourceforge.net/projects/dirb/
8. Wfuzz - https://github.com/xmendez/wfuzz
9. Gobuster- https://github.com/OJ/gobuster
10. Sublist3r https://github.com/aboul3la/Sublist3r

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import face_recognition
import cv2
import numpy as np
import argparse
import os

def apply_blur(image, region, light_blur=False):
    """Menerapkan efek blur dengan intensitas berbeda"""
    try:
        top, right, bottom, left = region