me recomendarías blog activos?
sigo a súper poquitos blog pero estos serían los que están activos
@mandarinas-y-besitos @nosigoestructuras @exiliados @vctoria-c @morritotriste @giras0les @hallopaz @michh-l @c-cherrycokee @veryhigh-dbr @besoaversos @chicasuperpoderosa @girl-strong
son pocos,, lo siento :')
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#startrek #starfleet #best #advice #example #what #did #you #see #something #millions #or #billions #of #people #watched #for #daces @us_stratcom .@usnavy @iaeaorg (((@startrek))) @delta @energy .@doescience @pacificcommand other example declination deduction combination if #startrek #starfleet wouldbereal itwouldbe a segmented res source squid with ruthlessefficiency and veryhigh personnel fluctuaition rate expending personnel whichis quickly efifciently ruth lessly templated in team arrangements which expends themfurther
#startrek #starfleet #best #advice #example #what #did #you #see #something #millions #or #billions #of #people #watched #for #daces @us_stratcom .@usnavy @iaeaorg (((@startrek))) @delta @energy .@doescience @pacificcommand other example declination deduction combination if #startrek #starfleet wouldbereal itwouldbe a segmented res source squid with ruthlessefficiency and veryhigh personnel fluctuaition rate expending personnel whichis quickly efifciently ruth lessly templated in team arrangements which expends themfurther
#startrek #starfleet #best #advice #example #what #did #you #see #something #millions #or #billions #of #people #watched #for #daces @us_stratcom .@usnavy @iaeaorg (((@startrek))) @delta @energy .@doescience @pacificcommand
other example declination deduction combination
if #startrek #starfleet wouldbereal itwouldbe a segmented ressource squid with ruthlessefficiency and veryhigh personnel…
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[Slovibe Live] CHS - HIGHWAY live https://youtu.be/wdtBea8o7mU ▶Artist / Album & Song CHS / HIGHWAY ▶Artist Instagram @chsveryhigh ▶Label VERYHIGH COMPANY ▶Production www.slovibe.co.kr ▶Instagram @slo.vibe ▶Editor Kim Yoon Ha ▶Location Sponsor KINTEX 킨텍스는 세계 20위권 규모의 전시면적을 자랑하는 우리나라 최대규모 전시장이다. 2025년을 목표로 제3전시장 건립을 준비 중에 있으며, 인도 뉴델리 전시장(IICC) 위탁운영(2023년), 잠실 마이스 복합개발사업 위탁운영(2029년) 등 국내외로 마이스 사업자로서의 역할을 확대하고 있다. 킨텍스는 복합문화공간으로서 전시회 뿐 아니라 연간 30여 건의 이벤트 및 콘서트를 개최하고 있다. KINTEX is the most spacious exhibition and convention center in Korea, one of the 20 largest centers in the world. KINTEX is in preparation for the construction of 3rd exhibition center and expanding its role as a global MICE venue operator along with operation of India International Convention & Expo Centre(IICC, from 2023) and Seoul Jamsil MICE multi-complex development(from 2029). Not only KINTEX focuses on exhibitions, as a multi-cultural complex, it also holds more than 30 cultural events and concerts annually. Homepage : www.kintex.com Instagram : www.instagram.com/kintex_korea/ Youtube : www.youtube.com/c/킨텍스TV Contact :
[email protected] #CHS #chsveryhigh #HIGHWAY SLOVIBE 슬로바이브
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Coursera - Gapminder
# coding: utf-8
# coding utf-8
# created by Nick Apr 2016
# magic to show charts in notebook
get_ipython().magic('matplotlib inline')
# imports
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import statsmodels.formula.api as smf
import statsmodels.stats.multicomp as multi
# get data
from google.colab import drive
drive.mount('/content/mydrive')
data = pd.read_csv('/content/mydrive/MyDrive/Coursera/gapminder.csv', low_memory = False)
print(data.head(5))
# create subset of data containing only columns of interest
sub1 = data[['country','femaleemployrate','suicideper100th','employrate']].dropna()
print(sub1.head(30))
# Change str columns to numeric and blanks etc to NaN
colsToConvert = ['femaleemployrate','suicideper100th','employrate']
for col in colsToConvert:
sub1[col] = pd.to_numeric(sub1[col],errors = 'coerce')
# drop rows where 'suicide' and employment rates are missing
sub1 = sub1[pd.notnull(data['suicideper100th'])]
sub1 = sub1[pd.notnull(data['femaleemployrate'])]
sub1 = sub1[pd.notnull(data['employrate'])]
# I want to convert suicides per 100,00 to suicides per million
sub1['suicide'] = sub1['suicideper100th']*10
print(sub1.head(30))
# drop rows where 'suicide' and employment rates are missing
sub1 = sub1[pd.notnull(sub1['suicide'])]
sub1 = sub1[pd.notnull(sub1['femaleemployrate'])]
sub1 = sub1[pd.notnull(sub1['employrate'])]
# create a categorical variable for suicide rates
myBins = [0,29,59,89,119,149,179,209,239,269,299,329,360]
myLabs = ['0-29','30-59','60-89','90-119','120-149','150-179','180-209','210-239','240-269','270-299','300-329','330-360']
sub1['suicideCat']= pd.cut(sub1.suicide, bins = myBins, labels = myLabs)
# create a categorical variable for suicide rates
print(sub1['employrate'].describe())
myBins = [34,43,55,65,74,84]
myLabs = ['Very Low','Low','Mid Range','High','VeryHigh']
sub1['TotEmpRate']= pd.cut(sub1.employrate, bins = myBins, labels = myLabs)
# using ols function for calculating the F-statistic and associated p value
model1 = smf.ols(formula='suicide ~ C(TotEmpRate)', data=sub1)
results1 = model1.fit()
print (results1.summary())
#Lets work out some grouped means on a subset containing only these two columns
sub2 = sub1[['suicide','TotEmpRate']].dropna()
# sub2['suicide'] = pd.to_numeric(sub2['suicide'],errors = 'coerce')
print ('\n','means for suicide by employment rate')
m1= sub2.groupby('TotEmpRate').mean()
print (m1)
print ('\n\n','standard deviations for suicide by employment rate')
sd1 = sub2.groupby('TotEmpRate').std()
print (sd1)
print('Tukey multi comparison of suicides by employment rates','\n')
mc1 = multi.MultiComparison(sub2['suicide'], sub2['TotEmpRate'])
res1 = mc1.tukeyhsd()
print(res1.summary())
# Create a boxplot of the two features
sns.boxplot(y = 'suicide', x = 'TotEmpRate', data=sub2)
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the chances that i'm bipolar are veryhigh when i think about my family history. but i have no idea cause i'm broke and can't see someone....but like if i did and they told me i was bipolar it would not surprise me even one tiny bit
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Hi! Do you have any idea how to remove ts4s own DOF on post processing effects? I want to use that option but i dont like the dof :(
Hi there!
Yes, it’s very easy to do actually.
In your Bin folder (where the TS4 exe is) there’s a file called graphicsrules.sgr. Open that in a text editor (I use Notepad++, which is free and will set out the contents of the file so it’s easy to read).
Once you’ve opened it, press ctrl+f to bring up the search box, and type in ‘dof’ and click Find Next.
It will take you down to a section that begins ‘option LightingQuality’, which has 4 sections: Low, Medium, High, and VeryHigh. Go to the section that corresponds with what you have your lighting quality set to in the game’s graphic options. Look down and you’ll see a line that says
prop $ConfigGroup DofEnabled true
Change true to say false instead and hit save.
Back up the file first if you’re at all worried, but don’t be too worried because if you do mess up you can repair your game through Origin and it will download a new one for you. In fact, you’ll need to edit this file after every game update because it downloads a fresh one each time.
Fun fact: if you want to turn off the game’s own ambient occlusion (the thing that gives the weird thin dark shadows in the corners of walls and around some objects) you follow the same steps but for the line that says SsaoEnabled instead BUT this also turns off DoF alongside it. So if you also want to turn off the ambient occlusion you only ever need to edit the SsaoEnabled line, because it will turn off DoF as well. That’s what I do, because I hate them both!
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