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I just found the PyData talk from 2016 on youtube (https://youtu.be/7fsreJMy_pI) and wanted to follow the tutorial and setup my environment according to your readme.
When doing that, conda says SpecNotFound: /private/tmp/connected-nx-tutorial/environment.yml is not a valid yaml file.
What worked for me right now is extracting the pip packages and install them via pipenv into my venv (without conda) doing:
pipenv install mkl numpy scipy setuptools appnope cycler decorator entrypoints funcsigs ipykernel ipython ipython-genutils ipywidgets jinja2 jsonschema jupyter jupyter-client jupyter-console jupyter-core markupsafe matplotlib mistune mock nbconvert nbformat networkx nose notebook pandas pbr pexpect pickleshare prompt-toolkit ptyprocess pygments pyparsing python-dateutil pytz pyzmq qtconsole seaborn simplegeneric six terminado tornado traitlets watermark wcwidthThe resulting Pipfile looks like this:
[[source]]
name = "pypi"
url = "https://pypi.org/simple"
verify_ssl = true
[dev-packages]
[packages]
mkl = "*"
numpy = "*"
scipy = "*"
setuptools = "*"
appnope = "*"
cycler = "*"
decorator = "*"
entrypoints = "*"
funcsigs = "*"
ipykernel = "*"
ipython = "*"
ipython-genutils = "*"
ipywidgets = "*"
jinja2 = "*"
jsonschema = "*"
jupyter = "*"
jupyter-client = "*"
jupyter-console = "*"
jupyter-core = "*"
markupsafe = "*"
matplotlib = "*"
mistune = "*"
mock = "*"
nbconvert = "*"
nbformat = "*"
networkx = "*"
nose = "*"
notebook = "*"
pandas = "*"
pbr = "*"
pexpect = "*"
pickleshare = "*"
prompt-toolkit = "*"
ptyprocess = "*"
pygments = "*"
pyparsing = "*"
python-dateutil = "*"
pytz = "*"
pyzmq = "*"
qtconsole = "*"
seaborn = "*"
simplegeneric = "*"
six = "*"
terminado = "*"
tornado = "*"
traitlets = "*"
watermark = "*"
wcwidth = "*"
[requires]
python_version = "3.7"
I'm not that firm with conda itself but it seems like the environment.yml should somehow be updated so that new users can easily create their environment.
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