This will link the files into your environment instead of copying them. If you are on windows you can use [SourceTree](https://www.sourcetreeapp.com/) which is a nice GUI for git.
This will download the source code (i.e. clone the git repository) into a subdirectory of the `./src` argument and link the files into your environment instead of copying them. If you are on windows you can use [SourceTree](https://www.sourcetreeapp.com/) which is a nice GUI for git.
You can specify the source code directory with the `--src` argument (which needs to be BEFORE `-e`):
If you have already downloaded/cloned the package yourself you can use `python setup.py develop`.
## qutil.plotting
`cycle_plots` helps you cycling through many plots with the arrow keys (there are probably much better functions for this out there)
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@@ -22,7 +25,7 @@ In this module there are functions that are helpful for reading `.mat` files, es
This module defines all the constants you could wish for as well as functions to convert temperatures (`convert_temperature`) or between wavelengths and frequencies (`lambda2nu`, `nu2lambda`). For an overview, see the module docstring.
## qutil.linalg
This module provides several handy linear algebra functions. While some are implemented elsewhere, the implementation here is typically speedier for large arrays. For example, `pauli_expm` exploits the fact that a matrix exponential of Pauli matrices can be written as a cosine times the identity matrix plus a sine times the Paulis to speed up the calculation.
This module provides several handy linear algebra functions. While some are implemented elsewhere, the implementation here is typically speedier for large arrays. For example, `pauli_expm` exploits the fact that a matrix exponential of Pauli matrices can be written as a cosine times the identity matrix plus a sine times the Paulis to speed up the calculation.
For an overview of the included functions, see the module docstring.
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@@ -42,3 +45,5 @@ This module contains a everything from `itertools`, `more_itertools` and custom
## qutil.caching
Here you find decorators, functions and classes that help you implement caching like `file_cache` and `lru_cache`. This is helpful if you need to call computationally expensive functions with the same arguments repeatedly.