A email verifier for csv files
A KISS(Keep It Stupid Simple) email validator for csv files
To install the script locally use:
To install the program run
$ pip install todx
If you are using Ubuntu run this instead:
$ pip3 install todx
If the installation of pandas fails due to user permissions, you can either use sudo or install using the
To validate and store the emails in a csv file run:
epurifier <input file> <output file>
And tackle with the invalid emails through keyboard.
Note that both input and Output files should be in csv format
If you clone the repo you can extend the code, to install the cloned repo as a package, run:
pip install -e .
Now, editing the files in the local folder will reflect systemwide installation of epurifier so you can use the epurifier with your modified parameters.
Also, to extend the valid emails you can either pass them when you create the EmailPurifier class as
import email_checker as ec emails_to_check = [ # Your emails ] additional_valid_emails = [ # add only domain names such as 'google.com' ] emil = ec.EmailPurifier(emails_to_check, additional_valid_emails)
By default it adds the passed additional emails to a list of top 10 valid emails present in
If for some reason you want to only use the additional emails and don't want emails from
valid_emails you can pass the argument
onlyAdditional=True to override the behavior.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size epurifier-0.1.1-py3-none-any.whl (15.2 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
|Filename, size epurifier-0.1.1.tar.gz (6.5 kB)||File type Source||Python version None||Upload date||Hashes View|
Hashes for epurifier-0.1.1-py3-none-any.whl