kosu/__init__.py,sha256=OLTtTScOxGNsZbuGDK-fRI1zwglRa5snqcoE4J7o-fs,512
kosu/__main__.py,sha256=AmAu0Mpd-Y3v5BUQhWiYJrjWXILCJl11gFDcRACzdrI,56
kosu/_version.py,sha256=g-sfwnqPH5ZoF52e756_44WOXnbc3Lz27WsLdunhQzU,142
kosu/customize.py,sha256=fT-xYK4CIBOxxf-daSYEjWvQ9hZHy4h_H1g-auCNNtE,4986
kosu/kosu.py,sha256=ERt72YoGtm80EVDQ-rnlue_06gRglN_7Cx4tF86KzYg,17634
kosu/include/.kosu.yaml,sha256=ksLYJSJy5SNLUhdm4jHo38pSb_8zICsquhmeL50SMYg,363
kosu/include/Interesting_notebook.ipynb,sha256=LogGYwM3PKNwS1lHR1CZ3pfthLfLRQm33NWvSVvXgoc,996
kosu/include/Intro_to_Matplotlib.ipynb,sha256=LogGYwM3PKNwS1lHR1CZ3pfthLfLRQm33NWvSVvXgoc,996
kosu/include/Intro_to_NumPy.ipynb,sha256=LogGYwM3PKNwS1lHR1CZ3pfthLfLRQm33NWvSVvXgoc,996
kosu/include/Intro_to_Python.ipynb,sha256=5-Za8vXFDyr8fypNf-tYFRLRPag58f7gUXxO57jQ8-o,2929
kosu/include/README.md,sha256=FssAK7-2HlNTHSVte11Gc20YP4_N3Sr9cKqjPBgufGg,1102
kosu/include/environment.yaml,sha256=3KsnBl8X_9M84ZeWrvJ203Y2d7ac-eJ_YBSX1OaA1fc,256
kosu/include/example.png,sha256=ipOtptDnwhrmWwrr_xJKZO-CrBWHns2MN75CExMaENw,14499
kosu/include/example.py,sha256=AL1AWa0pXcFHI4JUtnG76_CGbn0vJLqKRRlk2KYvAf0,25
kosu/include/example_course.yaml,sha256=A8ShXgKsIaGWu9ZXnqLX1Vk8b4Gf6rIHqr6eyiCG_gU,851
kosu/include/tops.txt,sha256=Ne1WL-XNn7fErkam6TSJl9Y6Ktpp_ONKQHCZhUlGHK0,35
kosu/include/useful.pdf,sha256=nRK2x6HpBa8s8Gf263d5eVHWJ8AXyeGDUUXzGNNspYQ,9707
kosu-0.1.4.dist-info/AUTHORS.md,sha256=71MHMDQhh2Q3b-azwqHYcihPVthJBNfHbJxzZ9fnkdg,522
kosu-0.1.4.dist-info/LICENSE,sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ,11357
kosu-0.1.4.dist-info/METADATA,sha256=EA6pdxHvHuCgba0ZcCHZFv_MndcUrO3E7SuJ_sXnATc,3378
kosu-0.1.4.dist-info/WHEEL,sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA,92
kosu-0.1.4.dist-info/entry_points.txt,sha256=_QfaLusQt20vHPJnuV2RUO4EQ4vBvO2ssg9ASchLZyw,34
kosu-0.1.4.dist-info/top_level.txt,sha256=a5Qxpq0_BKKW8Hp2ORfra-InbkmwFgwkrFINoURIHqw,5
kosu-0.1.4.dist-info/RECORD,,
