Data-Analysis | Data Analysis Utilities | Machine Learning library

I am running the following slurm script on a cluster computing system.

So I am trying to play a bit with Covid-data analysis. I am trying to reproduce things I read here.
But I have trouble from the beginning :

To download the data it uses

After data-analysis i have a table like mentioned below. But for databases purposes i would like to have per year a row. So in other words the values in column J represent the nr op copies per row. Example, for row 3 i would like to have three rows where columns A-G are the same but column J represent year 2012 (row1) 2013 (row2) etc.

I can't show DataEntryForm class in App class, ie inside QMainWindow. thank you so much.

#QWidget, The widget containing the QTableWidget I want to show

I'm in the process of implementing a csv parser using Dask and pandas dataframes. I'd like to make it load only the columns it needs, so it works well with and doesn't need to load large amounts of data.

Currently the only method I've found of writing a column to a parquet/Dask dataframe is by loading all the data as a pandas dataframe, modifying the column and converting from pandas.

I am trying to read a data set obtained from GitHub and I am encountering column issues. There is unnecessary information in the data set, so I cut it out. When I create a new DataFrame with the information I need, the system does not identify all of the columns. Instead, it views everything as just one column. Would anyone know how to fix this so that I can make the DataFrame output columns, 'r', 'G(r)', 'd_r', 'd_Gr'? Below is my code and outputs.

In line with the Open-Closed Principle, I typically design my Java packages and libraries in such a way that there is a generic "interface" or "API" package/library and one or more implementations (quite similar to many common APIs like JDBC or JAXP/SAX). To locate an implementation (or sometimes multiple implementations) in the base API library without violating OCP, I commonly use Java's ServiceLoader mechanism, or occasionally classpath scanning via third-party libraries like ClassGraph or Reflections. From a Maven perspective, the implementations are brought in as runtime dependencies (as they're only needed at execution time, but not at compile time). Pretty standard stuff.

So, now, I want to make some of these packages available as OSGi bundles (with API and implementation in separate bundles), but since in OSGi each bundle has its own class loader, neither classpath scanning nor the ServiceLoader API will work for this purpose. At first glance, OSGi's "fragment" mechanism seems to be the closest equivalent to the plain-Java setup described above. In that scenario, the API bundle would be the "fragment host", and concrete implementations would attach as fragments to that host bundle. As the fragment host and all its attached fragments use the same class loader, the standard plain-Java mechanisms like ServiceLoader or ClassGraph would conceivably still work. This would also have the advantage that there would be no need to detect whether a library/bundle is running in an OSGi context or not, and no OSGi framework dependencies are needed.

So, in a nutshell, my question is: are fragments the correct way to implement runtime-only dependencies in OSGi or is there a better (or more standard) way? Preferably, I'm looking for a solution that works in an OSGi container but does not require a dependency on OSGi itself.

I am studying some pandas from the "Python-for-Data-Analysis" book, and I have stumbled upon a piece of code I can't understand: