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WindEnergyToolbox
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06572139
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06572139
authored
9 years ago
by
mads
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@@ -32,20 +32,46 @@ in Python 2.7 by default. You can also write code that is compatible with both
# Dependencies
[
numpy
](
http://www.numpy.org/
)
[
scipy
](
http://scipy.org/scipylib/
)
[
pandas
](
http://pandas.pydata.org/
)
[
matplotlib
](
http://matplotlib.org/
)
[
pytables
](
http://www.pytables.org/
)
[
pyscaffold
](
http://pyscaffold.readthedocs.org/en/
)
*
[
numpy
](
http://www.numpy.org/
)
*
[
scipy
](
http://scipy.org/scipylib/
)
*
[
pandas
](
http://pandas.pydata.org/
)
*
xlrd
*
h5py
*
[
matplotlib
](
http://matplotlib.org/
)
*
[
pytables
](
http://www.pytables.org/
)
*
[
pyscaffold
](
http://pyscaffold.readthedocs.org/en/
)
*
pytest
*
six
# Installation
Detailed installation instructions, including how to install Python from scratch,
are described in the
[
detailed installation manual
](
docs/install-manual-detailed.md
)
.
If you now what you are doing, you can install as follows:
```
python setup.py
```
Or create a binary wheel distribution package with:
```
python setup.py bdist_wheel -d dist
```
# Tests
Only a small part of the code is covered by unittests currently. More tests are
...
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# Contents of WindEnergyToolbox, [wetb](wetb)
### Overview
-
[
hawc2
](
#hawc2
)
-
[
gtsdf
](
#gtsdf
)
-
[
fatigue_tools
](
#fatigue_tools
)
...
...
@@ -63,7 +91,6 @@ forthcoming.
-
[
fast
](
#fast
)
-
[
utils
](
#utils
)
------------------------------------------------------------------------------------
### [hawc2](wetb/hawc2)
-
[
Hawc2io
](
wetb/hawc2/Hawc2io.py
)
: Read binary, ascii and flex result files
-
[
sel_file
](
wetb/hawc2/sel_file.py
)
: Read/write
*
.sel (sensor list) files
...
...
@@ -109,3 +136,9 @@ Other functions
-
[
timing
](
wetb/utils/timing.py
)
: Decorators for evaluating execution time of functions
-
[
caching
](
wetb/utils/caching.py
)
: Decorators to create cached (calculate once) functions and properties
# Note
This project has been set up using PyScaffold 2.5. For details and usage
information on PyScaffold see http://pyscaffold.readthedocs.org/.
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!! This guide is not finished yet, it is a WIP (Work In Progress) !!
# Detailed Installation Manual
Installing Python packages with compiled extensions can be a challenge especially
on Windows systems. However, when using Miniconda things can be simplified to a
great extent as this manual hopefully will show you.
The this approach will require you to use the command line, but it is as easy
as copy-pasting them from this page straight into your command prompt.
## Using Miniconda
*
Download the latest Python 3 (!!) Miniconda installer for your platform
[
here
](
http://conda.pydata.org/miniconda.html
)
*
No need to worry about Python 2 or 3 at this stage. You can still use the
Python 3 installer for creating Python 2 conda environments
*
Install the necessary Python dependencies using the conda package manager:
```
conda install scipy pandas matplotlib cython xlrd pytables sphinx mingw
```
*
Not all packages are available in the conda repositories, but they can be
easily installed with pip:
```
pip install pyscaffold pytest pytest-cov
```
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