genetics | A python library for genetic algorithms | Machine Learning library

I'm trying to grep for missing values in an unzipped powerpoint doc. I'm using this line in my script:

I have a simple question, how does one always set the same path across a user base. For instance, I use getwd() to get my path: "C:/Users/Genetics/Documents". Can I set in my script, no matter who uses this to go to "C:/Users/Any User/Desktop"? I want to make this fluid, so I don't have correct this for each person.

Hi there I'm working on a site and I don't why one of my pages loads very slowly and with lag. Is that because of my on scroll listeners or so many references? Any Problem in my code? Or is it because my host is so slow I don't understand what's the problem.

My website: http://bakhshnameyab.ir/researchPrograms

I am privately working on a genetic algorithm that should approximate a picture using colored circles, similar to this example written in javascript.

The algorithm includes a function to create a picture from the internal representation of an individual, which is used to calculate its fitness, and therefore needs to be executed frequently.

Find below a minimal working code example that creates a picture looking exactly how I want it, but in too much time:

I have a list of articles obtained from an API, with my dataframe looking like this:

I am trying to make a flex+bison scanner and parser for Newick file format trees in order to do operations on them. The implemented grammar an explanation is based on a simplification of (labels and lengths are always of the same type, returned by flex) this example.

This is esentially a parser for a file format which represents a tree with a series of (recursive) subtrees and/or leaves. The main tree will always end on ; and said tree and all subtrees within will contain a series of nodes between ( and ), with a name and a length to the right of the rightmost parenthesis specified by name and :length, which are optional (you can avoid specifying them, put one of them (name or :length), or both with name:length).

If any node lacks either the name or a length, default values will be applied. (for example: 'missingName' and '1')

An example would be (child1:4, child2:6)root:6; , ((child1Of1:2, child2Of1:9)child1:5, child2:6)root:6;

The implementation of said grammar is the following one (NOTE: I translated my own code, as it was in my language, and lots of side stuff got removed for clarity):

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

I have a df like this:

I currently need to do the following:

Find the names of all course and the students enrolled on them which take place on a Friday afternoon and have at least 2 students enrolled on it.

I am thinking what I should do is Join the tables titled student, takes, course, section and time_slot together and from there do the SQL query, but this seems overkill to me.

First I would get a list of all the courses and all of the students names that take the courses by joining the takes and students tables.

Then, I would find all of the courses that take place on a Friday afternoon using the time_slot_id, which would have to be "D" OR "F" OR "G" and the day would be "F" to signify Friday. Then I would match the timeslot with the section.

After that I am stuck.

Here is what I have tried: