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Fit models to your data in Python with Sherpa.

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Wide ranging typo fix the covers user-facing and non-user-facing typos. Found via `codespell -q 3 -S "./extern,*.fits,*.rmf" -L aas,accrate,acn,alo,ans,crate,flor,fo,folde,hight,ist,livetime,nd,nin,ofset,parm,te,tennant,thi,ue,usig`

[Arviz](https://python.arviz.org/en/latest/index.html) is a Python package for "Exploratory analysis of Bayesian models". It provides a lot of plotting and quicklook capability and seems to be a becoming a kind of standard...

type:enhancement
general:visualization

Historically it may have been helpful to do processing in the IO backends, but nowadays we should just be able to grab the data and send it to the io...

type:enhancement
priority:medium
area:code

It only really helps for grouped data; if the data is not grouped then resetting the quality array does not reset things **because** in this case we just piggy-back onto...

After doing a `python setup.py install` I see the following: ``` $ ls /Users/aldcroft/anaconda/envs/sherpa/lib/python2.7/site-packages/*.so /Users/aldcroft/anaconda/envs/sherpa/lib/python2.7/site-packages/group.so* /Users/aldcroft/anaconda/envs/sherpa/lib/python2.7/site-packages/stk.so* ``` Installing modules outside of the package namespace is not a typical behavior.

type:enhancement
priority:low
area:build
area:code

I have a number of planned changes to the I/O code and wanted to provide something to tie things together. We have - new code added in 4.16 (e.g. `save_arf`...

type:enhancement
area:code

This is with the 4.16.0 release, where `plot_source` and `plot_source_component` created a y-axis label (for X-ray data) labelled as f(E) Photons/sec/cm$^2$/keV That is, it contains the latex/matplotlib code for creating...

type:bug
general:visualization

Model evaluation - Model caching, not to recompute models with frozen parameters - Paralellization with intelligent parsing of the model expression Slowness in fitting X-ray spectra - issues in simultaneous...

type:question
type:enhancement
area:docs
area:code

For XSAdditive models, we can cache the data with norm = 1, and then just multiply the cache value by norm. This would technically be faster (since there are times...

type:question
area:code

This is probably just #1169 but it may be subtly different (and the surrounding code behaviour has changed since this time so I want to just note what I found...

type:bug