work | Process background jobs in Go | Job Scheduling library

1. Use MailItem.Recipients collection.
2. See #1 and check for each recipient's Recipient.Type property equal olCC ( =2)
3. Of course - set the MailItem.Categpries property. Don't forget to call MailItem.Save
4. Use the MailItem.SenderEmailAddress. For the sent on behalf of address, read the PR_SENT_REPRESENTING_EMAIL_ADDRESS MAPI property. Access it using MailItem.PropertyAccessor.GetProperty("http://schemas.microsoft.com/mapi/proptag/0x0065001F")

In general, take a look at various Outlook object using OutlookSpy to familiarize yourself with the Outlook Object Model.

Also keep in mind that to access a subfolder of the Inbox folder, it is better to use something like

The likely problem is that the space character before && becomes part of the environment-variable values, so that the values are staging and production - note the trailing space - rather than staging and production.

The simplest way to avoid this is to remove the space before && (it looks awkward, but it works):

On line 23

Make the following change

The n2 - n1 in the case of a negative number as a result when converted to bool will yield true. So n1 turns out to be less than n2. That's why it is a bad practice to use ints in such Boolean context.

Yes, as stated in the documentation:

...comparison function object which returns ​true if the first argument is less than the second

But the implementation of the comparison here leads to failure. Try this and see for yourself:

Based on the comments.

The issue was that t2.micro instance was used. The instance has only 1 vCPu and 1GB of ram. This was not enough to run 5 docker containers. Changing instance type to t2.large with 8GB ram and 2 vCPUs solved the problem.

docker-compose allows to specify cpu and memory limits. Maybe you can set them up to keep your containers resource requirements in check.

We can calculate the labels that we want to display and use it in geom_label.

• In your script, the values are put to the Spreadsheet using appendRow in the loops. In this case, the process cost will be high. Ref And also, in this case, after the values were put to the Spreadsheet, it is required to sort the sheet.
• So, in this answer, I would like to propose the following flow.
  1. Retrieve the file list and put to an array.
  2. Sort the array by the file size.
  3. Put the array to the Spreadsheet.

When above points are reflected to your script, it becomes as follows.

Run ‘python manage.py collectstatic’ and try again.

The way you handle static wrong, remove the static dirs in your INSTALLED_APPS out of STATIC_DIRS and set a STATIC_ROOT then collectstatic again.

Add the following as django documentation to your urls.py

Convert your dates with to_datetime then subtract from today's normalized date (so that we remove the time part) and get the number of days. Then use pd.cut to group them appropriately.

Anything in the future gets labeled with NaN.