podcast | web crawler to grab itunes podcast info | Audio Utils library

There are a few problems :

• Currently, you're sending requests to the address of React app (http://localhost:3000). You need to send the request to the NodeJS application instead.

You can multiply your NPV formula with the highest power or (1+r) and then find the roots of the polynomial with polyroots (just take the only real root and disregard the complex ones):

You can use findall with the class of the link.

I used inspect element to determine which class to select, in this case, tracks__track__link--block

Then you can iterate through the links.

I submitted a support ticket and the issue was resolved.

One way to do it is using a so-called X-Sendfile. In simple words:

1. User requests URL to get a protected file (so you need to keep your public and protected files separately, and then either proxy a request to Django for protected files, or serve files directly from the apache/nginx if they are public)
2. Django view decides which file to return based on URL, and checks user permission, etc.
3. Django returns an HTTP Response with the 'X-Sendfile' header set to the server's file path
4. The web server finds the file and returns it to the requester

The setup will be different for nginx and apache, according to my findings you need to install mod_xsendfile for apache, nginx supports it out of the box. Hopefully, that helps, ask any additional questions if needed.

If you can ensure your string is in UTF-8 (using utf8_encode() or iconv() for example), you can use a character category black-/whitelist in an expression.

To start with, I'd remove all characters in the \p{C} ("other") and \p{S} ("symbol") categories. That should grab most of the crud.

Problem is here

Long format is almost definitely better. If you fit the model in long format R will convert the factor variable into a set of binary (dummy) variables using a contrast matrix; this is a little bit confusing but will allow you to make various comparisons among groups.

Using equatiomatic::extract_eq(), we get

You may also want to try the interaction model Total_Orders ~ Spend*Source_Group, which will allow you to compare the differences in the effect of spending on total orders across source groups, i.e. how does the expected change in total orders per unit of increase in spending (the beta_1 parameter above) differ between source groups?

I pasted the extract_eq() results into https://quicklatex.com/ to get the LaTeX renderings

I cannot really understand how this is good code, as it looks to me that when the Future is called with the then(), I know that the code execution doesn't stop for the then() (but it does for await) , but isn't there a remote case where it might get to the await part, but the future is NOT inside the Map anymore, as it has been already removed?

Future.then() does not execute the Future's computation. Future.then() only registers a callback.

The cited code usually shouldn't be racy. Futures are normally asynchronous; even if the Future's computation is already complete, the .then() callback will not execute until the Dart runtime returns to the event loop, which in this case would happen at the await line. You can observe this: