An In tr o du ctio n to Hy p e r S py - Joshua Taillon
An Introduction to HyperSpy:
The multi-dimensional data analysis toolbox
Josh Taillon and Andy Herzing
April 5, 2018
A quick note rst:
This isn't your parents' Powerpoint...
...because everything is interactive!
In [3]:
import datetime import time datestring = datetime.datetime.now().strftime('%B %d, %Y') for c in 'Today is {}!'.format(datestring):
print(c, end='') time.sleep(.1)
Today is April 05, 2018!
Made possible with:
Jupyter notebook -- RISE (Reveal.js IPython/Jupyter Slideshow Extension) --
2.4
Introduction
3.1
What is HyperSpy?
Open-source Python library for interactive data analysis of multi-dimensional datasets Makes it easy to operate on multi-dimensional arrays as you would a single spectrum (or image) Easy access to cutting-edge signal processing tools Modular structure makes it easy to add custom features
4.1
Why
?
4.2
................
................
In order to avoid copyright disputes, this page is only a partial summary.
To fulfill the demand for quickly locating and searching documents.
It is intelligent file search solution for home and business.
Related download
- pystata intro — introduction to using python and stata
- mgm s jawaharlal nehru engineering college aurangabad
- matplotlib tutorialspoint
- versions of python compatible with matlab products by release
- white paper matlab to python
- pycharm ipynb to py
- connecting to datasets through python and sas
- medical image processing using 3d slicer
- title pystata module — python package pystata to
- use the following guidelines to install python and run
Related searches
- how to calculate p value in statistics
- how to calculate p value in excel
- r s d syndrome
- p c y r s i unscramble
- s p 500 vs s p midcap 400
- how to find p value in excel
- form tr 30 15 3 certificate to terminate existence
- how to calculate p value in r
- historical p e ratio
- how to find p value in statistics
- army p and r forms
- dow jones p e ratio