shaunmolloy

#!/usr/bin/env python
# secret-key
# Generate an app secret key

from base64 import b64encode
from os import urandom

random_bytes = urandom(64)
token = b64encode(random_bytes).decode()

vsay01

# Clone github repository setup
# import join used to join ROOT path and MY_GOOGLE_DRIVE_PATH
from os.path import join  

# path to your project on Google Drive
MY_GOOGLE_DRIVE_PATH = 'My Drive/MyDrive/Udacity/deep-learning-v2-pytorch' 
# replace with your Github username 
GIT_USERNAME = "vsay01" 
# definitely replace with your
GIT_TOKEN = "{YOUR_GITHUB_TOKEN}"  

perrygeo

#!/usr/bin/env python

from fiona.transform import transform_geom
from rasterstats import point_query
import mercantile


def make_dem_url(lon: float, lat: float, z: int = 14) -> str:
    """Returns a URL referencing the GeoTiff Digitial Elevation Model (DEM)
    for the given point at a zoom level (default, max is 14).

scionoftech

# pip install --user numba

from numba import jit, cuda 
import numpy as np 
# to measure exec time 
from timeit import default_timer as timer    
  
# normal function to run on cpu 
def func(a):                                 
    for i in range(10000000): 

soiqualang

-- Get Max ID from table
SELECT MAX(id) FROM table;

-- Get Next ID from table
SELECT nextval('table_id_seq');

-- Set Next ID Value to MAX ID
SELECT setval('table_id_seq', (SELECT MAX(id) FROM table));

arno01

WORK IN PROGRESS

Docker on Android

Setup:

Samsung Galaxy Tab S5e SM-T720
Android Pie on Linux 4.9.112 (not rooted)
Termux

profiprog

Story

In needed include base64 encoded simple image into HTML page in two formats:

1st as PNG format has length 196 characters and looks like this:

iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAWElEQVR42mNkwA/qgbgRnwJGAgb8BwI7RkbGw5QYUAs0oGXUAPwGgKKqgYF0ANLTyAi1xhZI2WOYzsjYDJTbC2QewGHIwcERBsPcgHqgAX8pMQAcxfhyIwATTkxL+hgX2QAAAABJRU5ErkJggg==

2nd as CUR format has length 1536 characters and looks like this:

`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

korakot

# install chromium, its driver, and selenium
!apt update
!apt install libu2f-udev libvulkan1
!wget https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb
!dpkg -i google-chrome-stable_current_amd64.deb
!wget https://edgedl.me.gvt1.com/edgedl/chrome/chrome-for-testing/118.0.5993.70/linux64/chromedriver-linux64.zip
!unzip -j chromedriver-linux64.zip chromedriver-linux64/chromedriver -d /usr/local/bin/
!pip install selenium chromedriver_autoinstaller

# set options to be headless, ..

FMCorz

Adminer setup

Enables plugins, and SQLite no-login.

Instructions

1. Copy index.php to a new directory
2. Download Adminer to adminer.php

shaystrong

1. Image download from ftp --> upload to AWS s3 bucket

2. Pull to AWS EC2 machine. Save off SWIR band ratios as tif with appropriate contrast. The SWIR data is an 8-band image. You need to first grab onnly the bands you need for visualization (8-3-1 or 6-3-1 make good combos)

import rasterio
import numpy as np

raster='18NOV09185526-A2AS-058669488010_01_P001.TIF'. #your file