send email html content with inline image

• preferred way:
• script to generate html content with image encoded as base64 text
• <img src='data:imag/png;base64,....'/>
• base64.b64encode().decode("ascii") to get that ... string from image
• single html file to include all the html and images, etc. 😀
• cat that html and pipe to mutt -e "set content_type=text/html" to send the email

• however, outlook does not support inline base64 image 😞
• one way to workaround is to pipe the html to a python script that
• extract that base64 string (... above)
• replace html code with <img src='cid:123' />
• create image object with
• image = MIMEImage(base64.decodebytes(....encode("ascii")), _subtype=<png/jpg/etc>)
• reference this image by
• image.add_header('Content-ID', '<123>')
• send the emails as shown in this example
• https://docs.python.org/3/library/email.examples.html
• To send from windows outlook client rather than directly via smtp server:
• https://stackoverflow.com/questions/44544369/i-am-not-able-to-add-an-image-in-email-body-using-python-i-am-able-to-add-a-pi

Conditional Probability - a visualization

No need to remember the formula.  Instead, understand it and u can derive it.

Looking at the diagram above, 

• Omega is the entire probability space.  [rectangle]
• Event A is a subset of Omega with probability of happening P(A). [left circle]
• Event B is a subset of Omega with probability of happening P(B).  [right circle]
• A intersect B is when A and B both happening. [middle ellipsis]

P(B|A) is 

• conditional prob of B given A
• ie knowing that A has happened, it is the chance of B happening

What does it really mean?

1. knowing that A has happened -> the prob space has shrunk from Omega [rectangle] to P(A) [red circle]
2. the chance of B happening left is A intersect B [middle ellipsis]
3. note that we don't look at the rest of P(B) [outside of red circle] anymore, since it's outside of the realm of possibility knowing that A has happened.

Picturing the diagram in your mind, you will figure out that

• Given A has happened, chance of B happening is [middle ellipsis] divided by [red circle]
• ie P(B|A) = P(A intersect B) / P(A)

source:
https://courses.edx.org/courses/course-v1:MITx+6.008.1x+3T2016/courseware/1__Probability_and_Inference/conditioning_on_events/

Augment histogram with Time Maps: Visualizing Discrete Events Across Many Timescales

https://districtdatalabs.silvrback.com/time-maps-visualizing-discrete-events-across-many-timescales