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Hans Alemão's Projects

cygsubprocess icon cygsubprocess

Executes Cygwin bash scripts/commands in Python, captures and prints the output

cythonanyarray icon cythonanyarray

Pass arrays of any dimension to Cython as memory views (no Global Interpreter Lock (GIL))

cythonautoinstall icon cythonautoinstall

Generates and installs simple Cython modules with specified settings. If you are overwhelmed by the compiler directives and the creation of the setup.py file, this is right for you.

cythoncartesian icon cythoncartesian

Cartesian Product - 6x faster than itertools.product - 10x less memory

cythoncartesian2 icon cythoncartesian2

Cartesian Product for NumPy - 40x faster than NumPy + itertools.product

cythonfastsort icon cythonfastsort

C++ parallel sorting algorithms through Cython - up to 8 times faster than NumPy

cythonimagetools icon cythonimagetools

Provides functions (Cython - C) for color analysis in images, including finding unique colors, counting occurrences, and comparing images

cythonnestednumpy icon cythonnestednumpy

performs sorting and grouping operations on multidimensional NumPy arrays using Cython and hash-based algorithms.

cythonunique icon cythonunique

Fast implementation of unique elements in an array - up to 30x faster than NumPy

cythonuniquedim icon cythonuniquedim

Finds unique dimensions in multi-dimensional arrays, compresses and decompresses arrays ...

deepcopyall icon deepcopyall

deepcopys almost everything (functions, lambda ... )

deklinator icon deklinator

Study German declensions (dER nettE Mann, ein nettER Mann, mit dEM nettEN Mann, ohne dEN nettEN Mann ...) Generate as many exercises as you want using the incredible power of SPACY!

derdiedas icon derdiedas

Little script to practice the gender(s) of 170,000 German nouns

detachedproc icon detachedproc

Similar to subprocess, but with 100% detached processes

dfcsv2parquet icon dfcsv2parquet

converts large CSV files into smaller, Pandas-compatible Parquet files

dict_merger_keep_all icon dict_merger_keep_all

Merges multiple nested dicts without deleting any values (values with same keys are stored in lists)

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