elmer | A Fabric file called to control a RabbitMQ cluster | Continuous Deployment library

I'm trying to create a checklist program for my sports cards. I would like to design a function that looks up the cardnumber I entered and inserts an x into the have column before the number if there already isn't an x there. I've added the csv example and relevant code below

I have an array of objects such as:

I'd like to calculate % of stocks above rolling mean, therefore, I need to group the data by 'Date' and want to keep the 'Date' column. Percentages are calculated correctly, however, instead of actual dates I'm getting 'NaN' values. The 'Date' column is not the data frame index.

I have an Oracle 12c table that looks something like this:

I am trying to make it so the end user can select a row, column, or cell and make it any color they choose while on the front end of the website. Tabulator has a way to change colors for specific columns, but it's coded in the backend. I can do the same for rows, even cells, but this won't work for end users.

I have tried multiple JavaScript and jQuery snippets in an attempt to get this to work. I also installed the jsColor jQuery plugin, but can't seem to get it to work with Tabulator. Ideally, I would like for a double-click on a row to open the color picker.

I have spent several hours today poring over Tabulator documentation and jsColor, then writing different snippets of code, but with little luck.

I have two dataframes from different sources that refer to the same people, but due to errors from self-reported data, the dates may be slightly off.

Example data:

df1 <- data.frame(name= c("Ann", "Betsy", "Charlie", "Dave"), dob= c(as.Date("2000-01-01", "%Y-%m-%d"), as.Date("2001-01-01", "%Y-%m-%d"), as.Date("2002-01-01", "%Y-%m-%d"), as.Date("2003-01-01", "%Y-%m-%d")), stringsAsFactors=FALSE)

df2 <- data.frame(name= c("Ann", "Charlie", "Elmer", "Fred"), dob= c(as.Date("2000-01-11", "%Y-%m-%d"), as.Date("2004-01-01", "%Y-%m-%d"), as.Date("2001-01-01", "%Y-%m-%d"), as.Date("2006-01-01", "%Y-%m-%d")), stringsAsFactors=FALSE)

I want to match by exact name, with dplyr like:

library(dplyr)

inner_join(df1, df2, by = c("name"))

I am trying to write a SQL query that will distribute records from one table to another table that take equally number.

In this example I have two tables, Students and Teachers, and I want to assign Students to each Teacher.

Students: (Adam ,Bennet, Elmer ,Justin ,Louis ,Noah,Jack)

Teachers: (Leo,Kyle,Ethan)

Notice:

1. one student cannot have more than one teacher
2. each teacher should have same number of students as any other teacher ...
3. ... unless the number of students is not an exact multiple of the number of teachers in which case students must be as evenly divided between teachers as possible

For instance, if we have seven students and three teachers the first two teachers will take two students and the last one will take three students.

Result:

I'm trying to build a project that someone else has created but got the unmet dependency issue.

The NPM install command complains taht ngx-webstorage needs angular 5.0.0 and I indeed did not install 5.0.0 since the rest of the project cannot use that yet.

I globally installed node version 6.12 and have angular CLI version 3.10