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Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.

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Removing numpy deprecation warning mentioned here #114 Changed "asmatrix" to "asarray" Changed * operator to @ operator for the inverse functions (as shown in diff file below). Passed unit tests...

This uses a Cholesky decomposition instead of diagonalization in `correlated_values` and `correlated_values_norm`. The idea is the same as presented in #99. However, dealing with degenerate covariance matrices proved to be...

The function error_contribution_from allows developers to discover the complete contribution from a set of tags specified by a predicate function. This is part way to address #70. Since Python is...

More recent versions of Sphinx duplicate the section name on top: It would be best to remove it, as it is quite distracting (duplication of the title) and useless.

The Python 2.7 code is mostly based on the last Python 2.6 and even Python 2.5 version. Some details of the code could be updated so as to take advantage...

Internals

Could the install procedure from source (with `pip install ` instead of `python setup.py install`) be used for this project (the Python 2 compatibility may be an obstacle)? If yes,...

Perhaps this is a very obscure bug but it does exist. When running the following block of code: ```python n, s = 1.1E-323, 0 v = uncertainties.core.Variable(n, s) print(v) ```...

I was working with the blackbody function ``` f(E) = (A*pow(E, 3))/(exp(E/kT) - 1) ``` Where `E` is the energy range over which I need this function to be evaluated,...

Behavior
NumPy+uncertainties

I recently upgraded pandas to 1.1.0, and found that it is no longer possible to assign a `ufloat` to a cell in a `pandas.DataFrame`. ## Minimal Working Example ```python import...

It makes sense, now, to have all the examples be valid Python 3 code. Print statements are the main change that should be applied.

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