mikhailov-work

# 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

dufferzafar

Taken from: https://www.nature.com/naturejobs/science/articles/10.1038/nj7322-467a

A couple of months ago, I received a letter informing me that my fellowship application had failed. On the same day, Brazil's World Cup squad announced that football phenomenon Ronaldinho had not been selected. “Cool,” I thought. “I am like Ronaldinho.” But that thought offered only little consolation. No scientist enjoys such failures, but too often we hide them.

In a way, a fellowship rejection is to be expected. Most of these fellowships have success rates of about 15%, meaning that an applicant might be successful in only one out of every seven tries. For every hour I've spent working on a successful proposal, I've spent six hours working on ones that will be rejected. I don't mind the extra work — after all, if I abhorred tedious tasks with low chances of success, I would not be in research.

Even so, this means that for every endorsement, there are about six challenges to my ability, my determination and my visi

howardhamilton

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as pch
import matplotlib.image as img

def create_normalized_pitch(size=(12.5, 8.0), pcolor='none', ecolor='black'):
    """
    Create figure that has football pitch lines drawn on it.  Figure coordinates are normalized to a 100x100 grid.

    If aspect ratio of figure is not equal to 1.5625 (12.5 in / 8.0 in), the figure width is

agentcooper

How to use

1. Login to https://web.telegram.org
2. Copy-paste contents of telegram-scripts.js into JS console
3. Run showContacts() to get the list of contacts with ids
4. Run saveChat(userId) where userId is the id from step 3

Process can take a while, check console for progress. Occasionall FLOOD_WAIT errors are expected. Once done, browser will download the JSON file.

Motivation

ayman

alias happendToFile='hdfs dfs -appendToFile'
alias hcat='hdfs dfs -cat'
alias hchecksum='hdfs dfs -checksum'
alias hchgrp='hdfs dfs -chgrp'
alias hchmod='hdfs dfs -chmod'
alias hchown='hdfs dfs -chown'
alias hcopyFromLocal='hdfs dfs -copyFromLocal'
alias hcopyToLocal='hdfs dfs -copyToLocal'
alias hcount='hdfs dfs -count'
alias hcp='hdfs dfs -cp'

aparrish

iCHAIT

1. 52°North Initiative for Geospatial Open Source Software GmbH (Applying)

• No. of proj accepted - 6

• difficulty level/Desc - Difficult (GeoInformation stuff)

• tags - geo , geospatial , java , gis , spatiotemporal , geoprocessing , traffic , environment , R , R-project , earth observation , geoprocessing , spatial data , geostatistics , sensor web , search , mobile , eventing , database

• ideas - SPARQL endpoint and InterOperability for EnviroCar data Social Driving Stats

mbejda

tkrotoff

# See Remove default Apps from Windows 10 https://thomas.vanhoutte.be/miniblog/delete-windows-10-apps/
# See Debloat Windows 10 https://github.com/W4RH4WK/Debloat-Windows-10
# Command line to list all packages: Get-AppxPackage -AllUsers | Select Name, PackageFullName

Get-AppxPackage Microsoft.Windows.ParentalControls | Remove-AppxPackage
Get-AppxPackage Windows.ContactSupport | Remove-AppxPackage
Get-AppxPackage Microsoft.Xbox* | Remove-AppxPackage
Get-AppxPackage microsoft.windowscommunicationsapps | Remove-AppxPackage # Mail and Calendar
#Get-AppxPackage Microsoft.Windows.Photos | Remove-AppxPackage
Get-AppxPackage Microsoft.WindowsCamera | Remove-AppxPackage

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)