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        "author": "Christian Muenker",
        "author_email": "mail07@chipmuenk.de",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3.8",
            "Programming Language :: Python :: 3.9",
            "Topic :: Education",
            "Topic :: Scientific/Engineering"
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        "description": "pyFDA\n======\n## Python Filter Design Analysis Tool\n\npyFDA is a GUI based tool in Python / Qt for analysing and designing discrete time filters. When the migen module ist installed, fixpoint implementations (for some filter types) can be simulated and exported as synthesizable Verilog netlists. \n\nFor more info see the [`Github Repo`](https://github.com/chipmuenk/pyFDA) and the documentation at [readthedocs.org](https://pyfda.readthedocs.io/en/latest/).\n\n![Screenshot](https://github.com/chipmuenk/pyFDA/raw/develop/img/pyFDA_screenshot_3.png)\n\n## Prerequisites\n\n* Python versions: **3.3 ... 3.7**\n* All operating systems - there should be no OS specific requirements.\n* Libraries:\n  * **(Py)Qt5**\n  * **numpy**\n  * **scipy**\n  * **matplotlib**: **2.0** or higher\n\n### Optional libraries:\n* **migen** for fixpoint simulation and Verilog export. When missing, the \"Fixpoint\" tab is hidden.\n* **docutils** for rich text in documentation\n* **xlwt** and / or **XlsxWriter** for exporting filter coefficients as *.xls(x) files\n\n## Installing and Starting pyFDA\nThere is only one version of pyfda for all supported operating systems, Python and Qt versions. As there are no binaries included, you can simply install from the source.\n\n### conda\nIf you use the Anaconda distribution, you can install / update pyfda from my Anaconda channel [`Chipmuenk`](https://anaconda.org/Chipmuenk/pyfda) using\n\n    > conda install -c Chipmuenk pyfda\n\nresp.\n\n    > conda update  -c Chipmuenk pyfda\n\n### pip\nOtherwise, you can install from PyPI using\n\n    > pip install pyfda\n\nor upgrade using\n\n    > pip install pyfda -U\n\t\nor install locally using\n\n    > pip install -e <YOUR_PATH_TO_PYFDA>\n\t\nwhere the specified path points to `pyfda.setup.py` but without including `setup.py`. In this case, you need to have a local copy of the pyfda project, preferrably using git.\n\n### setup.py   \nYou could also download the zip file from Github and extract it to a directory of your choice. Install it either to your `<python>/Lib/site-packages` subdirectory using\n\n    > python setup.py install\n\nor just create a link to where you have copied the python source files (for testing / development) using\n\n    > python setup.py develop\n\n### Starting pyFDA\nIn any case, the start script `pyfdax` has been created in `<python>/Scripts` which should be in your path. So, simply start pyfda using\n\n    > pyfdax\n\nFor development and debugging, you can also run pyFDA using\n\n    In [1]: %run -m pyfda.pyfdax # IPython or\n    > python -m pyfda.pyfdax    # plain python interpreter\n    \nAll individual files from pyFDA can be run using e.g.\n\n    In [2]: %run -m pyfda.input_widgets.input_pz    # IPython or \n    > python -m pyfda.input_widgets.input_pz       # plain python interpreter\n   \n### Customization\n\nThe location of the following two configuration files (copied to user space) can be checked via the tab `Files -> About`:\n\n- Logging verbosity can be controlled via the file `pyfda_log.conf` \n- Widgets and filters can be enabled / disabled via the file `pyfda.conf`. You can also define one or more user directories containing your own widgets and / or filters.\n\nLayout and some default paths can be customized using the file `pyfda/pyfda_rc.py`, right now you have to edit that file at its original location.\n\n\n\n",
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