How to Install and Uninstall python3-deepdish Package on Kali Linux
Last updated: December 25,2024
1. Install "python3-deepdish" package
Here is a brief guide to show you how to install python3-deepdish on Kali Linux
$
sudo apt update
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$
sudo apt install
python3-deepdish
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2. Uninstall "python3-deepdish" package
Please follow the guidance below to uninstall python3-deepdish on Kali Linux:
$
sudo apt remove
python3-deepdish
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-deepdish package on Kali Linux
Package: python3-deepdish
Source: deepdish
Version: 0.3.7-2
Installed-Size: 154
Maintainer: Debian Python Modules Team
Architecture: all
Depends: python3-numpy, python3-scipy, python3-tables, python3:any
Size: 31840
SHA256: 0d6159676558766c2eb4514401cc10449239f32708bf19f46ac98510955c84d3
SHA1: 6d0ef1a1f54afaf7a2ed9cfcc9f616960f294365
MD5sum: 3657d794f18493fdd07fd31cec9db7ca
Description: Flexible HDF5 saving/loading and other data science tools
The primary feature of deepdish is its ability to save and load all
kinds of data as HDF5. It can save any Python data structure,
offering the same ease of use as pickling or numpy.save. However, it
improves by also offering:
.
- Interoperability between languages (HDF5 is a popular standard)
- Easy to inspect the content from the command line (using h5ls or our
specialized tool ddls)
- Highly compressed storage (thanks to a PyTables backend)
- Native support for scipy sparse matrices and pandas DataFrame, Series
and Panel
- Ability to partially read files, even slices of arrays
Description-md5:
Homepage: https://github.com/uchicago-cs/deepdish
Section: python
Priority: optional
Filename: pool/main/d/deepdish/python3-deepdish_0.3.7-2_all.deb
Source: deepdish
Version: 0.3.7-2
Installed-Size: 154
Maintainer: Debian Python Modules Team
Architecture: all
Depends: python3-numpy, python3-scipy, python3-tables, python3:any
Size: 31840
SHA256: 0d6159676558766c2eb4514401cc10449239f32708bf19f46ac98510955c84d3
SHA1: 6d0ef1a1f54afaf7a2ed9cfcc9f616960f294365
MD5sum: 3657d794f18493fdd07fd31cec9db7ca
Description: Flexible HDF5 saving/loading and other data science tools
The primary feature of deepdish is its ability to save and load all
kinds of data as HDF5. It can save any Python data structure,
offering the same ease of use as pickling or numpy.save. However, it
improves by also offering:
.
- Interoperability between languages (HDF5 is a popular standard)
- Easy to inspect the content from the command line (using h5ls or our
specialized tool ddls)
- Highly compressed storage (thanks to a PyTables backend)
- Native support for scipy sparse matrices and pandas DataFrame, Series
and Panel
- Ability to partially read files, even slices of arrays
Description-md5:
Homepage: https://github.com/uchicago-cs/deepdish
Section: python
Priority: optional
Filename: pool/main/d/deepdish/python3-deepdish_0.3.7-2_all.deb