I need to create emails with rich text format. Inside the email, it has a table, and under one column of the table, for each row, i need to attach different emails
Would above be achievable using python
Any help will be appreciated!
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I am trying to send a formatted table via SES in an email to Outlook and I am unable to format the table. I send the data from AWS Lambda using:
df.style.set_properties(**{'background-color': 'black',
'border-color': 'white'})
As soon as I add this function (regardless of its arguments) I lose the design of the table completely - I receive a table in the email with no borders at all.
When I use the applymap() and apply() functions, I get the design of the table, but as far as I understand, only specific cells in the table can be processed like this, not the entire table.
How can I design the entire table (i.e. borders, align, etc.) and not specific cells?
I'm hoping someone can help (I'm new to python). I have created a text file with customer information.
The details that are being stored in the text file are "First Name, Last name, Telephone Number, and email address".
I wish to create a python program to read the file. However, before adding information from the file, I want to do validation checks.
How do I get Python to do a validation check on the data e.g. data entered is the correct data type?
There are many ways to check data in Python. What are you trying to validate?
I want to write a small script in which I use data from an excel document and mix it with a text I have that I send to leads.
Example:
Hello (Data-Name), I can see that your business (Data-business) need
some service on (Data-website name). Best regards Jim
So if I have 100 leads, then, it must create a document for the data to be inserted into the text and create a new document with the generated text.
I have been trying this but I was not able to make it work.
I am using Win32com.client to read email content from Outlook, but one of the emails contains a table. When I read the table using msg.body() The table is stored in a string format and does not look like a table. The whole email body is stored like a string including the table. Is there a way that I can recognize this table while parsing through the email body using Win32com and what good way can be used to read this table and store it in a variable to look like an actual table.
Note: I am using python to do so
Thank you in advance
Read the HTMLBody property instead and parse out the <table> elements.
I would like to extract email signatures from a single-column Pandas data frame where each row contains a discrete email message as a string. Some emails are HTML encoded and some are not. They can be of any email provider (e.g.: Gmail, Microsoft, Yahoo, etc.).
I know that Gmail signatures are contained in a div where class="email_signature" which simplifies parsing those. My dilemma is: what is the best way to extract non-gmail email signatures? Is there a regex that captures the content of an email? How can I apply this regex over the Pandas data frame in Python?
I'd provide an example but the data is private and frankly I don't think it's necessary for this question.
Checkout SigParser.com. It is an API for doing this pretty much. It uses email signatures to extract contact data. Is this what you're looking for?