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,Date,Country/Region,Confirmed,Deaths,Recovered,Active,New cases,New deaths,New recovered | |
0,2020-01-22,Afghanistan,0,0,0,0,0,0,0 | |
1,2020-01-22,Albania,0,0,0,0,0,0,0 | |
2,2020-01-22,Algeria,0,0,0,0,0,0,0 | |
3,2020-01-22,Andorra,0,0,0,0,0,0,0 | |
4,2020-01-22,Angola,0,0,0,0,0,0,0 | |
5,2020-01-22,Antigua and Barbuda,0,0,0,0,0,0,0 | |
6,2020-01-22,Argentina,0,0,0,0,0,0,0 | |
7,2020-01-22,Armenia,0,0,0,0,0,0,0 | |
8,2020-01-22,Australia,0,0,0,0,0,0,0 |
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import pandas as pd | |
import altair as alt | |
# Load data | |
full_clean_data = pd.read_csv('covid_19_clean_complete.csv', parse_dates=['Date']) | |
# Select a list of countries | |
countries = ['US', 'Italy', 'China', 'Spain', 'France', 'Iran', 'United Kingdom', 'Switzerland'] | |
selected_data = full_clean_data[full_clean_data['Country/Region'].isin(countries)] |
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⇒ cd /Users/admin/Library/Jupyter/kernels/nlp | |
admin@MAC:~/Library/Jupyter/kernels/nlp| | |
⇒ ls | |
kernel.json logo-32x32.png logo-64x64.png | |
admin@MAC:~/Library/Jupyter/kernels/nlp| | |
⇒ cat kernel.json | |
{ | |
"argv": [ | |
"/Users/admin/Code/WorkSpace/python-venv/npl/bin/python", | |
"-m", |
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import altair as alt | |
from vega_datasets import data | |
cars = data.cars() | |
brush = alt.selection_interval() | |
points = alt.Chart(cars).mark_point().encode( | |
x='Horsepower:Q', | |
y='Miles_per_Gallon:Q', |
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import face_recognition | |
# Number of known persons | |
n = 2 | |
# Create a list of all known face encodings | |
known_face_encodings = [] | |
for num in range(1, n + 1): | |
image_file = f"known_person_{num}.jpg" | |
# Load each known image |
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⇒ npm start | |
> [email protected] start /Users/admin/Code/WorkSpace/react-app-es6-jest | |
> concurrently "npm run start:server" "npm run start:client" | |
[0] | |
[0] > [email protected] start:server /Users/admin/Code/WorkSpace/react-app-es6-jest | |
[0] > nodemon src/server/index.js --watch src/server -e js --exec babel-node | |
[0] | |
[0] [nodemon] 2.0.1 | |
[0] [nodemon] to restart at any time, enter `rs` |
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⇒ cd /Users/admin/Library/Jupyter/kernels/d2l | |
admin@MAC-156893:~/Library/Jupyter/kernels/d2l| | |
⇒ ls | |
kernel.json logo-32x32.png logo-64x64.png | |
admin@MAC-156893:~/Library/Jupyter/kernels/d2l| | |
⇒ cat kernel.json | |
{ | |
"argv": [ | |
"/Users/admin/anaconda3/envs/d2l/bin/python", | |
"-m", |
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
<title>Pure CSS Styled Select</title> | |
<style> | |
body { | |
background-color: #e74c3c; | |
font-family: 'Source Sans Pro', sans-serif; |
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
<title>How does CSS triangle work?</title> | |
<style> | |
.box_1 { | |
width: 50px; |
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