Add trouble-shooting guide for installing requirements

[munichpavel]

Maybe would help with some install challenges, like numpy wheel issue involving python 3.10.

[munichpavel]

E.g. add frozen requirements??

aiohttp==3.8.1
aiohttp-retry==2.4.6
aiosignal==1.2.0
appdirs==1.4.4
appnope==0.1.2
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
asttokens==2.0.5
async-timeout==4.0.2
asyncssh==2.10.0
atpublic==3.0.1
attrs==21.4.0
backcall==0.2.0
beautifulsoup4==4.10.0
bleach==4.1.0
brent==0.2.4
bump2version==1.0.1
causalgraphicalmodels==0.0.4
certifi==2021.10.8
cffi==1.15.0
charset-normalizer==2.0.12
colorama==0.4.4
commonmark==0.9.1
configobj==5.0.6
cryptography==36.0.2
cvxopt==1.3.0
cycler==0.11.0
debugpy==1.6.0
decorator==5.1.1
defusedxml==0.7.1
dictdiffer==0.9.0
diskcache==5.4.0
distlib==0.3.4
distro==1.7.0
dpath==2.0.6
dulwich==0.20.35
dvc==2.10.0
dvc-render==0.0.4
entrypoints==0.4
executing==0.8.3
fake-data-for-learning==0.4.0
Faker==13.3.4
filelock==3.6.0
flake8==4.0.1
flatten-dict==0.4.2
flufl.lock==7.0
fonttools==4.31.2
frozenlist==1.3.0
fsspec==2022.3.0
ftfy==6.1.1
funcy==1.17
future==0.18.2
gitdb==4.0.9
GitPython==3.1.27
grandalf==0.6
graphviz==0.19.1
idna==3.3
iniconfig==1.1.1
ipykernel==6.11.0
ipython==8.2.0
ipython-genutils==0.2.0
ipywidgets==7.7.0
jedi==0.18.1
Jinja2==3.1.1
joblib==1.1.0
jsonschema==4.4.0
jupyter==1.0.0
jupyter-client==7.2.1
jupyter-console==6.4.3
jupyter-core==4.9.2
jupyterlab-pygments==0.1.2
jupyterlab-widgets==1.1.0
kiwisolver==1.4.2
mailchecker==4.1.14
MarkupSafe==2.1.1
matplotlib==3.5.1
matplotlib-inline==0.1.3
mccabe==0.6.1
mistune==0.8.4
multidict==6.0.2
nanotime==0.5.2
nbclient==0.5.13
nbconvert==6.4.5
nbformat==5.2.0
nest-asyncio==1.5.4
networkx==2.7.1
notebook==6.4.10
numpy==1.22.3
opt-einsum==3.3.0
packaging==21.3
pandas==1.4.1
pandocfilters==1.5.0
parso==0.8.3
pathspec==0.9.0
pexpect==4.8.0
phonenumbers==8.12.46
pickleshare==0.7.5
Pillow==9.1.0
platformdirs==2.5.1
pluggy==1.0.0
ply==3.11
prometheus-client==0.13.1
prompt-toolkit==3.0.28
psutil==5.9.0
ptyprocess==0.7.0
pure-eval==0.2.2
py==1.11.0
pyasn1==0.4.8
pycddlib==2.1.4
pycodestyle==2.8.0
pycparser==2.21
pydot==1.4.2
pyflakes==2.4.0
pygit2==1.9.1
Pygments==2.11.2
pygtrie==2.4.2
pyparsing==3.0.7
pypoman==0.5.4
pyro-api==0.1.2
pyro-ppl==1.8.1
pyrsistent==0.18.1
pytest==7.1.1
python-benedict==0.25.0
python-dateutil==2.8.2
python-dotenv==0.20.0
python-fsutil==0.6.0
python-slugify==6.1.1
pytz==2022.1
PyYAML==6.0
pyzmq==22.3.0
qtconsole==5.3.0
QtPy==2.0.1
requests==2.27.1
rich==12.0.1
-e git+https://github.com/munichpavel/risk-ai-workshop.git@ed1e6e6bd26bcf6725c4e3290dd067c52fc272df#egg=risk_learning
ruamel.yaml==0.17.21
ruamel.yaml.clib==0.2.6
scikit-learn==1.0.2
scipy==1.8.0
scmrepo==0.0.16
Send2Trash==1.8.0
shortuuid==1.0.8
shtab==1.5.3
six==1.16.0
sklearn-pandas==2.2.0
smmap==5.0.0
soupsieve==2.3.1
stack-data==0.2.0
tabulate==0.8.9
terminado==0.13.3
testpath==0.6.0
text-unidecode==1.3
threadpoolctl==3.1.0
toml==0.10.2
tomli==2.0.1
torch==1.11.0
tornado==6.1
tox==3.24.5
tqdm==4.63.1
traitlets==5.1.1
typing_extensions==4.1.1
urllib3==1.26.9
virtualenv==20.14.0
voluptuous==0.13.0
wcwidth==0.2.5
webencodings==0.5.1
widgetsnbextension==3.6.0
xarray==2022.3.0
xmltodict==0.12.0
yarl==1.7.2
zc.lockfile==2.0

[munichpavel]

Conda

Using Conda (miniconda would also be fine) has a 100% success rate among students this year whose initial attempt to install dependencies without conda failed (on both mac and windows laptops).

Dependency

1. Install conda (or miniconda) according to install instructions
2. in powershell or console, run conda create -n risk-ai-workshop python=3.9, and follow instructions
3. run conda activate risk-ai-workshop
4. From the workshop repository directory, run python -m pip install requirement.txt

Using jupyter notebooks

From the same console, with your conda environment activated, run jupyter notebook, will open in a browser.