rates | microservice implemented per spec as a test project | REST library

I wrote a function to query currency exchanges rate from an API. It works fine, but the code is way too long and unreadable. I thought someone would be able to help me simplify this, especially because there are many repeated patterns and operators like the repeated use of

EDIT: I didn't realize that binding anything to pure is absolutely useless!

I'm interested in adding grouping labels above my ggplot bar charts. This feature exists for data visualizations such as phylogenetic trees (in ggtree), but I haven't found a way to do it in ggplot.

I've tried toying around with geom_text, and geom_label, but I haven't had success yet. Perhaps there's another package that enables this functionality? I've attached some example code that should be fully reproducible. I'd like the rating variable to go over the bars of the continents listed (spanning multiple continents).

Any help is greatly appreciated! Thank you!

P.S. pardon all the comments - I was writing a teaching tutorial.

I want to calculate the cumulative product across rows in Snowflake.

Basically I have monthly rates that multiplied accumulate across time.

(Some databases have the product() SQL function for that).

I am making a finance management application. I have a database containing all the places the user has his money which includes banks. Here is how the table is structured..

I am currently having issue with the implementation of the Metropolis-Hastings algorithm.

I am trying to use the algorithm to calculate integrals of the form

In using this algorithm, we can obtain a long chain of configurations ( in this case, each configuration is just a single numbers) such that in the tail-end of the chain the probability of having a particular configuration follows (or rather tends to) a gaussian distribution.

My code seems to be messing up with obtaining the said gaussian distributions. There is a strange dependence on the transition probablity (the probablity of picking a new candidate configuration depending on the previous configuration in the chain). However, if this transition probability is symmetric, there should be no dependence on this function at all (it only affects speed at which phase space [space of potential configurations] is explored and how quickly the chain converges to the desired distribution)!

In my case I am using a normal distribution transition function (which satisfies the need to be symmetric), with width d. For each d I use I do indeed get a gaussian distribution however the standard deviation, sigma, depends on my choice of d. The resulting gaussian should have a sigma of roughly 0.701 but I find that the value I actually get depends on the parameter d, when it shouldn't.

I am not sure where the error in this code is, any help would be greatly appreciated!

I have a documents in MongoDB Atlas with this structure:

In my ASP.NET Core MVC project there is a table with two columns containing dropdownlists where the user is supposed to pick rates values and click save to update them for each row in the table. There are dozens of dynamically generated rows in total, which results in twice as many dropdownlists with values to track.

Again, the goal is to update each row with the values selected in the two dropdownlists in that row.

I was able to create the table and display the values. There is a loop that generates each row in the table. The issue I am having is not knowing how to pass all of the values from all of the dropdownlists back to the controller along with rownumbers so I can write the logic to update the values in the database. I can pass a single dropdown combination from the first row and I don't know how to do the same for all of them or indicate which row they are from. The fact that dropdownlists are in a loop makes this difficult.

This is the part of the view where I display the table:

I have a made up dataframe to replicate the real problem I am trying to work through in python in reconciling account rates held on mainframe system to what they should be set to from rates tables.

I have 3 tables but they have been merged into one dataframe for this example.

1. Account Information with Interest Rate Conditions (first 5 columns of df). These rates are the actual rates applied to the accounts and need to be matched off to ensure they were set up correctly
2. Non Std Rates - Certain accounts will apply these non-std rates once certain conditions are met
3. Std Rates- Same as above these will apply once certain conditions are met

I'm building a mortgage calculator as an exercise to learn Combine. Everything has been going swimmingly until I encountered a situation where I'm not getting deterministic published output from one of my Publishers when I unit test it. I'm not making any asynchronous calls. This is the problematic AnyPublisher: