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Working with CSV files in Python is a common task for data engineers, but when the data structure becomes complex, parsing can quickly turn into a headache. You might have to deal with nested ...

However, the internal export tools do not usually allow full access to unprocessed data, which challenges its use for research purposes. The Epycon package is a data parsing ... file format for ...

management and parsing. Python was used to implement the method, and the visibility and query performance of the method were tested. The results show that this method is helpful to the management of ...

pyfastg is a Python library designed to parse graphs that follow a subset of the FASTG spec. In particular, pyfastg is designed to work with files output by the SPAdes family of assemblers. pyfastg is ...

I like making random graphs about random stats (code in this case), but got tired of constantly writing new hyper-specific scripts for parsing and graphing that data. This project aims to solve that ...

If you have the python prettytable ... But when your CSV file has a complex structure, then it becomes tedious to parse using the above approach. There is a utility called CSVKIT, which is an ...

This can be achieved using python-magic, a wrapper around the libmagic C library, and creating a simple function. List comprehension can then be used to loop through our files and apply the ...