Full documentation is available at serapieum-of-alex.github.io/hpc
Current release info
- conda-forge feedstock: hpc
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hpc - Remote Sensing package
hpc is a numpy utility package
Main Features
- indixing numpy arrays in fast manner without using loops
Installing hpc
Installing hpc from the conda-forge channel can be achieved by:
conda install -c conda-forge hpc
It is possible to list all of the versions of hpc available on your platform with:
conda search hpc --channel conda-forge
Install from Github
to install the last development to time you can install the library from github
pip install git+https://github.com/MAfarrag/hpc
pip
to install the last release you can easly use pip
pip install hpc-utils==0.1.5
Quick start
>>> import hpc
1 maintainer
Metadata
1 maintainer
Release files for hpc-utils 0.1.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hpc_utils-0.1.5.tar.gz | 26.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hpc_utils-0.1.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 45.5 kB
Release files / hpc_utils-0.1.5.tar.gz
| Download URL | hpc_utils-0.1.5.tar.gz |
|---|---|
| Size | 26.4 kB |
| Tags | Source |
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Release files / hpc_utils-0.1.5-py3-none-any.whl
| Download URL | hpc_utils-0.1.5-py3-none-any.whl |
|---|---|
| Size | 19.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.5
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