barnes | Multi-threaded Barnes-Hut implementation in Rust | Learning library

I have a data frame that looks similar to this:

I created a function where i add persons and their availability to a list called gamers. I want the function to have two exceptions. If the person forgets to add their name or their availability i will print: "Gamer missing critical information"

I also want to have an error if the name is already in the list and print: "This name already exists"

However i cant seem to find a way to get the value dictionary["name"] within the list.

I also tried gamers[0]["name"] but that didnt work.

I have this text that I want to read the first column from in my project named Data.txt.

I have already searched the Internet for my problem but nothing quite the same. I am quite new in Pandas.

I have a huge dataframe, around 800K of rows. Out of 800K of rows, 200K of them are duplicates that indicate an owner who owns multiple cars under the same SSN (may have a different name due to spelling and such). For example, below is my dataframe.

SSN is the key in determining they are the same person albeit the name might be different (or slightly different) :

I have a MYSQL database with three tables: MEETS, SWIMMERS, SWIMS, which I use to store a swim team's results.

What I am trying to do is write a select query which, for a given swimmer and event, generates a column which has one entry for each meet in the database - if the swimmer actually swam the event at the meet, select the time, if not, select a placeholder. Basically, I'm trying to de-raggedize my data:

I'm able to join the tables successfully, but what's below only returns the Meets where the swimmer HAS swum the event, not all meets. (I realize this is kind of a silly thing to need, but the graphing control I'm trying to feed it into is really finicky about what it will accept)

edit: Attempting to do better with providing a miniminal example. Here are the CREATE and INSERT queries for the three tables:

I would like to create an simple table in html doc. The table exists but I cant order and operate with the table. I'm a noob in html and js. My result:

My SQL query returns employee information which I map with dapper. The SQL returns the PK from the Employee table, along with various other columns, then the PK of each child object with their columns. But the first object, an EmployeeModel, receives the PK of the first child object. I've tried reordering the SQL query without success. Perhaps I'm misunderstanding the Dapper syntax?

I am newbie to both Entity Framework and Moq testing.

Below is my EF code:

I need to extract the journal titles from a bibliography list. The titles are all within quotation marks. So is there a way to ask R to extract all text that is within parenthesis?

I have read the list into R as a text file:

"data <- readLines("Publications _ CCDM.txt")"

here are a few lines from the list:

Andronis, C.E., Hane, J., Bringans, S., Hardy, G., Jacques, S., Lipscombe, R., Tan, K-C. (2020). “Gene validation and remodelling using proteogenomics of Phytophthora cinnamomi, the causal agent of Dieback.” bioRxiv. DOI: https://doi.org/10.1101/2020.10.25.354530 Beccari, G., Prodi, A., Senatore, M.T., Balmas, V,. Tini, F., Onofri, A., Pedini, L., Sulyok, M,. Brocca, L., Covarelli, L. (2020). “Cultivation Area Affects the Presence of Fungal Communities and Secondary Metabolites in Italian Durum Wheat Grains.” Toxins https://www.mdpi.com/2072-6651/12/2/97 Corsi, B., Percvial-Alwyn, L., Downie, R.C., Venturini, L., Iagallo, E.M., Campos Mantello, C., McCormick-Barnes, C., See, P.T., Oliver, R.P., Moffat, C.S., Cockram, J. “Genetic analysis of wheat sensitivity to the ToxB fungal effector from Pyrenophora tritici-repentis, the causal agent of tan spot” Theoretical and Applied Genetics. https://doi.org/10.1007/s00122-019-03517-8 Derbyshire, M.C., (2020) Bioinformatic Detection of Positive Selection Pressure in Plant Pathogens: The Neutral Theory of Molecular Sequence Evolution in Action. (2020) Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2020.00644 Dodhia, K.N., Cox, B.A., Oliver, R.P., Lopez-Ruiz, F.J. (2020). “When time really is money: in situ quantification of the strobilurin resistance mutation G143A in the wheat pathogen Blumeria graminis f. sp. tritici.” bioRxiv, doi: https://doi.org/10.1101/2020.08.20.258921 Graham-Taylor, C., Kamphuis, L.G., Derbyshire, M.C. (2020). “A detailed in silico analysis of secondary metabolite biosynthesis clusters in the genome of the broad host range plant pathogenic fungus Sclerotinia sclerotiorum.” BMC Genomics https://doi.org/10.1186/s12864-019-6424-4