emoji | unicode | emoji | unicode |
---|---|---|---|
✒️ :black_nib: |
\U00002712 | ✔️ :heavy_check_mark: |
\U00002714 |
✖️ :heavy_multiplication_x: |
\U00002716 | :bangbang: |
\U0000203C |
✳️ :eight_spoked_asterisk: |
\U00002733 | ✨ :sparkles: |
\U00002728 |
❕ :grey_exclamation: |
\U00002755 | ✴️ :eight_pointed_black_star: |
\U00002734 |
❄️ :snowflake: |
\U00002744 | ❇️ :sparkle: |
\U00002747 |
❌ :x: |
\U0000274c | ❎ :negative_squared_cross_mark: |
\U0000274e |
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ZIP,LAT,LNG | |
00601,18.180555, -66.749961 | |
00602,18.361945, -67.175597 | |
00603,18.455183, -67.119887 | |
00606,18.158345, -66.932911 | |
00610,18.295366, -67.125135 | |
00612,18.402253, -66.711397 | |
00616,18.420412, -66.671979 | |
00617,18.445147, -66.559696 | |
00622,17.991245, -67.153993 |
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# Install XQuartz | |
brew cask install xquartz | |
# Restart MacOS | |
# Open XQuartz | |
open -a XQuartz | |
# Ensure the "Allow connections from network clients" option in Preferences >> Security is turned on |
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// ==UserScript== | |
// @name Bypass Detect-Devtool | |
// @namespace http://tampermonkey.net/ | |
// @version 0.1 | |
// @description bypass https://github.com/theajack/disable-devtool | |
// @author Wagyourtail | |
// @match {site} | |
// @icon https://www.google.com/s2/favicons?sz=64&domain=github.io | |
// @grant none | |
// ==/UserScript== |
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#!/usr/bin/env python3 | |
""" | |
License: MIT License | |
Copyright (c) 2023 Miel Donkers | |
Very simple HTTP server in python for logging requests | |
Usage:: | |
./server.py [<port>] | |
""" | |
from http.server import BaseHTTPRequestHandler, HTTPServer |
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# config.yml in traefik directory | |
# Dynamic Configuration for Dashboard | |
http: | |
routers: | |
dashboard: | |
# Your domain here | |
rule: Host(`traefik-dashboard.example.com`) | |
service: api@internal | |
middlewares: | |
- auth |
Some notes, tools, and techniques for reverse engineering macOS binaries.
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import arcpy | |
import pandas as pd | |
def arcgis_table_to_df(in_fc, input_fields=None, query=""): | |
"""Function will convert an arcgis table into a pandas dataframe with an object ID index, and the selected | |
input fields using an arcpy.da.SearchCursor. | |
:param - in_fc - input feature class or table to convert | |
:param - input_fields - fields to input to a da search cursor for retrieval | |
:param - query - sql query to grab appropriate values | |
:returns - pandas.DataFrame""" |
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import csv | |
from enum import Enum | |
import decimal | |
# dump data for one year from https://www.binance.com/my/orders/futures/transactionhistory Big Data Dump | |
data = [] | |
with open(r'/your/dump/data/path/0.csv', newline='') as csvfile: | |
spamreader = csv.reader(csvfile) |
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