atodev

## REACT
https://www.youtube.com/watch?v=xoh_L3KPpks

## 3d Graph
https://www.youtube.com/watch?v=uszt88Z-0Fc
paraview
https://www.youtube.com/watch?v=BsK_WwoSKDM&t=1s
good
https://www.idtools.com.au/3d-network-graphs-with-python-and-the-mplot3d-toolkit/
https://networkx.org/documentation/stable/auto_examples/3d_drawing/plot_basic.html
AR
https://openreview.net/pdf?id=VtYxuiX_UQ
https://www.nature.com/articles/s41467-021-22570-w
https://github.com/topics/graph-theory?l=html&o=desc&s=forks

## base file
<!DOCTYPE html>>
<html lang="eng">
    <head>
        <meta charset="UTF-8">
        <meta http-equiv="X-UA-Compatable" content="IE=edge">
        <meta name="'viewport" content = "width=device-width, initial-scale=1.0">
        <title>Document</title>
    </head>
    <body>
        Hi!

## venv
cd to your dir
virtualenv .venv
mac
source .venv/bin/activate
win
 .venv/Scripts/activate

 pip freeze > requirements.txt


## conda activate
# To activate this environment, use
#
#     $ conda activate py10
#
# To deactivate an active environment, use
#
#     $ conda deactivate


conda activate py3.9

## one liners
#convert class to int
df['class'] = (df['class']=='g').astype(int)

## image back
from rembg import remove
from PIL import Image
input_path = 'cl.jpg'
output_path = 'output.png'
input = Image.open(input_path)
output = remove(input)
output.save (output_path)

## load key
import os
from apikey import apikey
os.environ['OPEN_API_KEY'] = apikey

## lil
https://saleshub.app.bigtincan.com/story/1234158433

Click this activation link: https://lnkd.in/gMaQSM2K
https://www.linkedin.com/learning/machine-learning-with-python-foundations/using-the-exercise-files?autoSkip=true&autoplay=true&resume=false&u=111978458
msoft
https://www.linkedin.com/learning/paths/become-a-data-analyst?u=111978458

https://www.linkedin.com/learning/learning-python-14393370/learning-python?autoplay=true&contextUrn=urn%3Ali%3AlyndaLearningPath%3A5ebaefdc498e440b07b53ea1&u=111978458

aws

## envs
conda activate py3.9
if it doesn't start
conda init bash'
cloes and repopen the terminal
try activate again
	https://www.youtube.com/watch?v=uszt88Z-0Fc
	paraview
	https://www.youtube.com/watch?v=BsK_WwoSKDM&t=1s
	good
	https://www.idtools.com.au/3d-network-graphs-with-python-and-the-mplot3d-toolkit/
	https://networkx.org/documentation/stable/auto_examples/3d_drawing/plot_basic.html
	AR
	https://openreview.net/pdf?id=VtYxuiX_UQ
	https://www.nature.com/articles/s41467-021-22570-w
	https://github.com/topics/graph-theory?l=html&o=desc&s=forks
	<!DOCTYPE html>>
	<html lang="eng">
	<head>
	<meta charset="UTF-8">
	<meta http-equiv="X-UA-Compatable" content="IE=edge">
	<meta name="'viewport" content = "width=device-width, initial-scale=1.0">
	<title>Document</title>
	</head>
	<body>
	Hi!
	cd to your dir
	virtualenv .venv
	mac
	source .venv/bin/activate
	win
	.venv/Scripts/activate

	pip freeze > requirements.txt
	# To activate this environment, use
	#
	# $ conda activate py10
	#
	# To deactivate an active environment, use
	#
	# $ conda deactivate


	conda activate py3.9
	#convert class to int
	df['class'] = (df['class']=='g').astype(int)
	from rembg import remove
	from PIL import Image
	input_path = 'cl.jpg'
	output_path = 'output.png'
	input = Image.open(input_path)
	output = remove(input)
	output.save (output_path)
	import os
	from apikey import apikey
	os.environ['OPEN_API_KEY'] = apikey
	https://saleshub.app.bigtincan.com/story/1234158433

	Click this activation link: https://lnkd.in/gMaQSM2K
	https://www.linkedin.com/learning/machine-learning-with-python-foundations/using-the-exercise-files?autoSkip=true&autoplay=true&resume=false&u=111978458
	msoft
	https://www.linkedin.com/learning/paths/become-a-data-analyst?u=111978458

	https://www.linkedin.com/learning/learning-python-14393370/learning-python?autoplay=true&contextUrn=urn%3Ali%3AlyndaLearningPath%3A5ebaefdc498e440b07b53ea1&u=111978458

	aws
	conda activate py3.9
	if it doesn't start
	conda init bash'
	cloes and repopen the terminal
	try activate again