| library(sf) | |
| library(tidycensus) | |
| library(dplyr) | |
| library(ggplot2) | |
| options(tigris_use_cache = TRUE) | |
| acs_pop <- do.call( | |
| rbind, | |
| lapply( | |
| setdiff(state.abb, c("AK", "HI")), |
| func main() { | |
| s := time.Now() | |
| args := os.Args[1:] | |
| if len(args) != 6 { // for format LogExtractor.exe -f "From Time" -t "To Time" -i "Log file directory location" | |
| fmt.Println("Please give proper command line arguments") | |
| return | |
| } | |
| startTimeArg := args[1] | |
| finishTimeArg := args[3] |
Install Synthwave ’84/Synthwave + Fluoromachine theme on VS Code (I used the Fluoromachine one)
Install Custom CSS and JS Loader
Command + Shift + P to open command palette > "Preferences: Open settings (JSON)"
| // Copyright 2019 Google LLC. | |
| // SPDX-License-Identifier: Apache-2.0 | |
| // Author: Anton Mikhailov | |
| // The look-up tables contains 256 entries. Each entry is a an sRGB triplet. | |
| float turbo_srgb_floats[256][3] = {{0.18995,0.07176,0.23217},{0.19483,0.08339,0.26149},{0.19956,0.09498,0.29024},{0.20415,0.10652,0.31844},{0.20860,0.11802,0.34607},{0.21291,0.12947,0.37314},{0.21708,0.14087,0.39964},{0.22111,0.15223,0.42558},{0.22500,0.16354,0.45096},{0.22875,0.17481,0.47578},{0.23236,0.18603,0.50004},{0.23582,0.19720,0.52373},{0.23915,0.20833,0.54686},{0.24234,0.21941,0.56942},{0.24539,0.23044,0.59142},{0.24830,0.24143,0.61286},{0.25107,0.25237,0.63374},{0.25369,0.26327,0.65406},{0.25618,0.27412,0.67381},{0.25853,0.28492,0.69300},{0.26074,0.29568,0.71162},{0.26280,0.30639,0.72968},{0.26473,0.31706,0.74718},{0.26652,0.32768,0.76412},{0.26816,0.33825,0.78050},{0.26967,0.34878,0.79631},{0.27103,0.35926,0.81156},{0.27226,0.36970,0.82624},{0.27334,0.38008,0.84037},{0.27429,0.39043,0.85393},{0.27509,0.40072,0.86692},{0.2757 |
| # Copyright 2019 Google LLC. | |
| # SPDX-License-Identifier: Apache-2.0 | |
| # Author: Anton Mikhailov | |
| turbo_colormap_data = [[0.18995,0.07176,0.23217],[0.19483,0.08339,0.26149],[0.19956,0.09498,0.29024],[0.20415,0.10652,0.31844],[0.20860,0.11802,0.34607],[0.21291,0.12947,0.37314],[0.21708,0.14087,0.39964],[0.22111,0.15223,0.42558],[0.22500,0.16354,0.45096],[0.22875,0.17481,0.47578],[0.23236,0.18603,0.50004],[0.23582,0.19720,0.52373],[0.23915,0.20833,0.54686],[0.24234,0.21941,0.56942],[0.24539,0.23044,0.59142],[0.24830,0.24143,0.61286],[0.25107,0.25237,0.63374],[0.25369,0.26327,0.65406],[0.25618,0.27412,0.67381],[0.25853,0.28492,0.69300],[0.26074,0.29568,0.71162],[0.26280,0.30639,0.72968],[0.26473,0.31706,0.74718],[0.26652,0.32768,0.76412],[0.26816,0.33825,0.78050],[0.26967,0.34878,0.79631],[0.27103,0.35926,0.81156],[0.27226,0.36970,0.82624],[0.27334,0.38008,0.84037],[0.27429,0.39043,0.85393],[0.27509,0.40072,0.86692],[0.27576,0.41097,0.87936],[0.27628,0.42118,0.89123],[0.27667,0.43134,0.90254],[0.27691,0.44145,0.913 |
Let's see how much it will cost to translate all the Sentinel-2 JPEG2000 to COGs using AWS Lambda https://github.com/developmentseed/sentinel-2-cog (Note at this scale AWS Lambda might not be the cheapest option).
How many S2 scenes do we have on AWS?
$ curl https://sat-api.developmentseed.org/collections/sentinel-2-l1c/items | jq -r '.meta.found'
5 633 438Lambda config
| """ | |
| Python code for fractional differencing of pandas time series | |
| illustrating the concepts of the article "Preserving Memory in Stationary Time Series" | |
| by Simon Kuttruf | |
| While this code is dedicated to the public domain for use without permission, the author disclaims any liability in connection with the use of this code. | |
| """ | |
| import numpy as np | |
| import pandas as pd |
| ;; -*- mode: emacs-lisp -*- | |
| ;; This file is loaded by Spacemacs at startup. | |
| ;; It must be stored in your home directory. | |
| (defun dotspacemacs/layers () | |
| "Configuration Layers declaration. | |
| You should not put any user code in this function besides modifying the variable | |
| values." | |
| (setq-default | |
| ;; Base distribution to use. This is a layer contained in the directory |