======Modulliste====== In unserem Projekt haben wir drei Module benutzt: Das interne Time-Modul, Numpy (Version 1.13.3) zur Vektorenrechnung und Matplotlib (Version 2.1.0) für die grafische Darstellung. Im folgenden nochmal die gesamte Modulliste: alabaster==0.7.10 anaconda-client==1.6.5 anaconda-navigator==1.6.9 anaconda-project==0.8.0 asn1crypto==0.22.0 astroid==1.5.3 astropy==2.0.2 babel==2.5.0 backports-abc==0.5 backports.functools-lru-cache==1.4 backports.shutil-get-terminal-size==1.0.0 backports.ssl-match-hostname==3.5.0.1 beautifulsoup4==4.6.0 bitarray==0.8.1 bkcharts==0.2 blaze==0.11.3 bleach==2.0.0 bokeh==0.12.10 boto==2.48.0 Bottleneck==1.2.1 CacheControl==0.12.3 cdecimal==2.3 certifi==2017.7.27.1 cffi==1.10.0 chardet==3.0.4 click==6.7 cloudpickle==0.4.0 clyent==1.2.2 colorama==0.3.9 comtypes==1.1.2 conda==4.3.30 conda-build==3.0.27 conda-verify==2.0.0 configparser==3.5.0 contextlib2==0.5.5 cryptography==2.0.3 cycler==0.10.0 Cython==0.26.1 cytoolz==0.8.2 dask==0.15.3 datashape==0.5.4 decorator==4.1.2 distlib==0.2.5 distributed==1.19.1 docutils==0.14 entrypoints==0.2.3 enum34==1.1.6 et-xmlfile==1.0.1 fastcache==1.0.2 filelock==2.0.12 Flask==0.12.2 Flask-Cors==3.0.3 funcsigs==1.0.2 functools32==3.2.3.post2 futures==3.1.1 gevent==1.2.2 glob2==0.5 greenlet==0.4.12 grin==1.2.1 h5py==2.7.0 heapdict==1.0.0 html5lib==0.999999999 idna==2.6 imageio==2.2.0 imagesize==0.7.1 ipaddress==1.0.18 ipykernel==4.6.1 ipython==5.4.1 ipython-genutils==0.2.0 ipywidgets==7.0.0 isort==4.2.15 itsdangerous==0.24 jdcal==1.3 jedi==0.10.2 Jinja2==2.9.6 jsonschema==2.6.0 jupyter-client==5.1.0 jupyter-console==5.2.0 jupyter-core==4.3.0 jupyterlab==0.27.0 jupyterlab-launcher==0.4.0 lazy-object-proxy==1.3.1 llvmlite==0.20.0 locket==0.2.0 lockfile==0.12.2 lxml==4.1.0 MarkupSafe==1.0 matplotlib==2.1.0 mccabe==0.6.1 menuinst==1.4.10 mistune==0.7.4 mpmath==0.19 msgpack-python==0.4.8 multipledispatch==0.4.9 navigator-updater==0.1.0 nbconvert==5.3.1 nbformat==4.4.0 networkx==2.0 nltk==3.2.4 nose==1.3.7 notebook==5.0.0 numba==0.35.0+10.g143f70e.dirty numexpr==2.6.2 numpy==1.13.3 numpydoc==0.7.0 odo==0.5.1 olefile==0.44 openpyxl==2.4.8 packaging==16.8 pandas==0.20.3 pandocfilters==1.4.2 partd==0.3.8 path.py==10.3.1 pathlib2==2.3.0 patsy==0.4.1 pep8==1.7.0 pickleshare==0.7.4 Pillow==4.2.1 pkginfo==1.4.1 ply==3.10 progress==1.3 prompt-toolkit==1.0.15 psutil==5.4.0 py==1.4.34 pycodestyle==2.3.1 pycosat==0.6.2 pycparser==2.18 pycrypto==2.6.1 pycurl==7.43.0 pyflakes==1.6.0 Pygments==2.2.0 pylint==1.7.4 pyodbc==4.0.17 pyOpenSSL==17.2.0 pyparsing==2.2.0 PySocks==1.6.7 pytest==3.2.1 python-dateutil==2.6.1 pytz==2017.2 PyWavelets==0.5.2 pywin32==221 PyYAML==3.12 pyzmq==16.0.2 QtAwesome==0.4.4 qtconsole==4.3.1 QtPy==1.3.1 requests==2.18.4 rope==0.10.5 ruamel-yaml==0.11.14 scandir==1.6 scikit-image==0.13.0 scikit-learn==0.19.1 scipy==0.19.1 seaborn==0.8 simplegeneric==0.8.1 singledispatch==3.4.0.3 six==1.11.0 snowballstemmer==1.2.1 sortedcollections==0.5.3 sortedcontainers==1.5.7 Sphinx==1.6.3 sphinxcontrib-websupport==1.0.1 spyder==3.2.4 SQLAlchemy==1.1.13 statsmodels==0.8.0 subprocess32==3.2.7 sympy==1.1.1 tables==3.4.2 tblib==1.3.2 testpath==0.3.1 toolz==0.8.2 tornado==4.5.2 traitlets==4.3.2 typing==3.6.2 unicodecsv==0.14.1 urllib3==1.22 wcwidth==0.1.7 webencodings==0.5.1 Werkzeug==0.12.2 widgetsnbextension==3.0.2 win-inet-pton==1.0.1 win-unicode-console==0.5 wincertstore==0.2 wrapt==1.10.11 xlrd==1.1.0 XlsxWriter==1.0.2 xlwings==0.11.4 xlwt==1.3.0 zict==0.1.3