How to use CARTOframes to connect to an AWS Redshift DB and geocode that data in CARTO

Redshift_Example_clean.ipynb

requirements.txt

-i https://pypi.org/simple
appdirs==1.4.3
appnope==0.1.0 ; sys_platform == 'darwin'
backcall==0.1.0
bleach==3.1.0
carto==1.4.0
cartoframes==0.9.0
certifi==2018.11.29
chardet==3.0.4
cycler==0.10.0
decorator==4.3.0
defusedxml==0.5.0
entrypoints==0.3
future==0.17.1
idna==2.8
ipykernel==5.1.0
ipython-genutils==0.2.0
ipython==7.2.0 ; python_version >= '3.4'
jedi==0.13.2
jinja2==2.10
jsonschema==2.6.0
jupyter-client==5.2.4
jupyter-core==4.4.0
jupyterlab-server==0.2.0
jupyterlab==0.35.4
kiwisolver==1.0.1
markupsafe==1.1.0
matplotlib==3.0.2
mistune==0.8.4
nbconvert==5.4.0
nbformat==4.4.0
notebook==5.7.4
numpy==1.15.4
pandas==0.23.4
pandocfilters==1.4.2
parso==0.3.1
pexpect==4.6.0 ; sys_platform != 'win32'
pickleshare==0.7.5
prometheus-client==0.5.0
prompt-toolkit==2.0.7
psycopg2==2.7.6.1
ptyprocess==0.6.0 ; os_name != 'nt'
pygments==2.3.1
pyparsing==2.3.0
pyrestcli==0.6.7
python-dateutil==2.7.5
pytz==2018.9
pyzmq==17.1.2
requests==2.21.0
scipy==1.2.0
seaborn==0.9.0
send2trash==1.5.0
six==1.12.0
sqlalchemy-redshift==0.7.2
sqlalchemy==1.2.15
terminado==0.8.1
testpath==0.4.2
tornado==5.1.1
tqdm==4.29.0
traitlets==4.3.2
urllib3==1.24.1
wcwidth==0.1.7
webcolors==1.8.1
webencodings==0.5.1