rq | Record Query - A tool for doing record analysis

If you don’t have too many rows, you could generate all pairs of items and filter from there.

Let’s start with getting the last days in the month:

I switched to Kotlin along the way, so this may not be correct Java, but it shows the process

1. Set the user model as LiveData
2. update the user model using .postValue()
3. set up an observer for the user model in the viewmodel (not shown)

As I see your path is to Chrome (browser) exe file instead of chromedriver.exe used by Selenium

Update 2021-0602: After researching, experiencing, and googling more I found this article. It is detailed, opinionated in what I found a helpful way, and provided everything I was looking for and more. Highly recommend. Conda is quite different from venv.

Original Answer After researching and playing around, here's what I've found, particularly focused on the difference between conda environments and venv:

• High level, there's not that much of a difference between conda environments and venv. There are not large performance differences, time in setup differences, replication differences, etc.
• The decision to use one or the other should primarily by driven by personal preference, and the convention at work (e.g. if your work venv for everything, it probably makes sense to use venv and not conda environments.)

There are some differences worth calling out:

• Conda environments can set up environments for python and also R, so if you switch between the two conda is probably preferable so you only need to learn one set of tools/conventions.
• Conda environments all get stored in a single folder. This has pros and cons:
• Pro: you can easily look up all environments you've created.
• Pro: you can re-use one environment for multiple projects (e.g. I have a "finance" environment which works well for all my finance-related projects.)
• Con: you have to name all your environments differently, and remember the names (or look them up).
• Con: it is more of a pain to store that environment in the project folder you've created. This means you need to remember which environment goes with which project, and you can't simply cd into the project folder and then activate the generically named 'env' that is stored in that folder.

For the type of programming I'm doing, I find conda environments helpful. I could easily see use cases where venv is the better choice.

Lastly, Conda is both an environments manager as well as a package manager like PIP. Useful comparison table here.

In short, if you don't have a strong preference already, conda is more robust than venv or pip, can be combined with pip, and is probably the better default option. That said, if you already have a strong preference it means you likely already know how to do what you want, so it's unlikely to be worth it to change.

Just in case anyone is wondering what the answer is. The solution to the issue I was having was changing

The error occurs because the only way to throttle IO using cgroups version 1 is to use a device that is physical. The major and minor version numbers I used above are for a partition. You need to pick the major and minor numbers for the physical device that HOLDS the partition.

Add

You should add the login_required decorator to your queries and mutations resolvers. Like this:

Firstly, there was an error in how I structured the procfile. Each "worker" should be named differently. I thought the term "worker" held some special meaning for Heroku provisioning; it doesn't. So Procfile should look something like this: