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.
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Problem: I’m a nurse, and part of my job is to pull up a list of “unsigned services”. Then of course, take these charts, and send them to the right person.
The person before me did not do this, leaving me THOUSANDS of charts to pull up by patient name and DOB, select the right document, and send to the right person.
I have figured out how to use selenium with python to automate logging in, using input to send keys to search the correct patient, and even to pull up the correct document that needs signed.
How do I have the program do this, for every chart? How do I have python work down the list of names and DOB’s without my having to manually put them in?
Anything I look for on my own is just examples of applying a basic function to a list of numbers and that isn’t my goal.
Thanks for your help!
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 am making a chatbot in RASA which helps High school graduates find university according to their desired location. I have all my data stored in a CSV file. So is there any way we can extract some specific data from that CSV.
Example: If a user asks to show universities available in a certain location, how to extract the specific data from CSV which is the name of the university according to the location given by the user.
Seems like you will need to train the model with location entity. Create a story that will link an intent with location entity to a custom action.
Sample story could like something like this:
story 1
* ask_university{"location":New York}
- action_get_universities
In the custom action action_get_universities, you will then need to handle the CSV query based on the location entity that the model detected. Pandas should work just fine.
Have fun exploring !
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!
My aim is to extract information from old scanned reports and store in the structured database. I have already extracted text from these reports using Solr.
All of these are scientific reports and have a different structure in terms of the content of the report, but all of these has similar information. I wanted to a create a structured database using these reports such as name of the company involved in the report, name of the software involved in the report, name of the location, date of the experiment etc. For each of these fields, I have some keywords which shall be used for extraction, For example for the Location information: Location, Place of experiment, Place, Facility etc. What will be the best way to proceed in the direction?
Also, in some of these files, there are no sentences to process. Information is given in Form like structure, for example:
Location: Canada
Date of the experiment: 1985-05-01.
Which techniques will be best to extract the information? also which software, libraries should I use?