atodev

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)

atodev

import os
from apikey import apikey
os.environ['OPEN_API_KEY'] = apikey

atodev

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

atodev

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

atodev

https://medium.com/analytics-vidhya/how-to-create-a-python-library-7d5aea80cc3f
https://towardsdatascience.com/deep-dive-create-and-publish-your-first-python-library-f7f618719e14
https://packaging.python.org/en/latest/tutorials/packaging-projects/
https://code.tutsplus.com/tutorials/how-to-write-package-and-distribute-a-library-in-python--cms-28693

atodev

https://vercel.com/

atodev

import matplotlib.pyplot as plt
# Define the color scheme based on the values
colors = ['red' if x < 15 else 'Yellow' if x >= 15 and x < 25 else 'green' for x in df1['TrustScore']]

# Create the bar chart with the defined colors
plt.bar(range(len(df1)), df1['TrustScore'], color=colors)

# Add labels and titles to the chart
plt.xticks(range(len(df1)), df1.index)
plt.xlabel('Index')

atodev

vite
https://www.youtube.com/watch?v=89NJdbYTgJ8

atodev

https://www.youtube.com/watch?v=ss5_6e9emZY

atodev

-- first get all rows with multiple recipients and convert them to one per line:
----------------------------------------------
[email protected]	[email protected],[email protected],[email protected],[email protected],[email protected],[email protected]	 inbound	1670537679
create a python script to replace that line with

[email protected]  [email protected]	inbound	1670537679
[email protected]  [email protected]	inbound	1670537679
[email protected]  [email protected]	inbound	1670537679
[email protected]  [email protected]	inbound	1670537679
[email protected]  [email protected]	inbound	1670537679