PyHQC | Python code that I write the HQC lab
kandi X-RAY | PyHQC Summary
kandi X-RAY | PyHQC Summary
PyHQC is a Python library. PyHQC has no bugs, it has no vulnerabilities and it has low support. However PyHQC build file is not available. You can download it from GitHub.
Python code that I write for the HQC lab (ENS-Paris).
Python code that I write for the HQC lab (ENS-Paris).
Support
Quality
Security
License
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Support
PyHQC has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of PyHQC is current.
Quality
PyHQC has 0 bugs and 0 code smells.
Security
PyHQC has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
PyHQC code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
PyHQC does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
PyHQC releases are not available. You will need to build from source code and install.
PyHQC has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed PyHQC and discovered the below as its top functions. This is intended to give you an instant insight into PyHQC implemented functionality, and help decide if they suit your requirements.
- Plot a series of data .
- Initialize the plotter .
- Event handler for data update
- Compute the fired fields
- Update map .
- Create a contour plot
- Update traits from the preference tree .
- Calculate and update plot data .
- Get an update for a given field .
- Read data from a file .
Get all kandi verified functions for this library.
PyHQC Key Features
No Key Features are available at this moment for PyHQC.
PyHQC Examples and Code Snippets
No Code Snippets are available at this moment for PyHQC.
Community Discussions
No Community Discussions are available at this moment for PyHQC.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install PyHQC
Assuming Anaconda 3.6 is already installed, one has to create first an environment with Python 2.7. Open a Conda bash shell and type $ conda create -n py2 python=2. Activate the environment: $ activate py2. After the installation, remember to check to be in the right environment, or activate it, every time you want to open the Viewer. Go to https://github.com/MatthieuDartiailh/PyHQC , click on the green button Clone or download and download the .zip folder containing the Viewer. Move the .zip to a directory you like (here we call it ViewerDir) and extract it. To configure the needed packages, run the following lines. At this point the Viewer can be opened: go to ViewerDir and run $ python viewer_python.py.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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