MCNPydE Files

MCNP data extraction and display software library

Status: Beta

Brought to you by: megatharun

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size
Manual.ipynb	2020-01-27	511.0 kB
TAN44o.txt	2020-01-27	8.8 MB
NUR13o.txt	2020-01-27	3.0 MB
SimpleManual.pdf	2020-01-27	680.6 kB
MCNPydE.pyc	2020-01-27	6.3 kB
License.txt	2020-01-27	1.5 kB
MCNPydE.py	2020-01-27	8.6 kB
Totals: 7 Items		13.0 MB

Other Useful Business Software

Veeam Data Platform v13.1

Move workloads across hypervisors and clouds with no vendor lock-in. Try VDP free today.

Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.

Try Now

Save Up to 91% on Cloud Compute With Spot VMs

Automatic sustained-use discounts. One free VM per month. No negotiation needed.

Run batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.

Start Free

$300 Free Credits to Build on Google Cloud

New customers can spin up VMs, build with AI, and query data at no cost.

Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.

Start Free

Recommended Projects

pygolem
Python API for the GOLEM Tokamak discharge database
matplotlib
Matplotlib is a python library for making publication quality plots using a syntax familiar to MATLAB users. Matplotlib uses numpy for numerics. Output formats include PDF, Postscript, SVG, and PNG, as well as screen display. As of matplotlib version 1.5, we are no longer making file releases available on SourceForge. Please visit http://matplotlib.org/users/installing.html for help obtaining matplotlib.
Larch: Data Analysis for X-ray Spectra
Data Processing and Analysis for X-ray Spectroscopy and More
Spectral Python
A python module for hyperspectral image processing
SciDAVis
SciDAVis is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data. It strives to combine an intuitive, easy-to-use graphical user interface with powerful features such as Python scriptability.