/
sitemaps.py
321 lines (318 loc) · 9.2 KB
/
sitemaps.py
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import os
from django.conf import settings
def items():
items = [
dict(
location='/ipython-notebooks/socrata',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'socrata',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/pytables',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'pytables',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/excel-python-and-plotly',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'excel_python_and_plotly',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/mne-tutorial',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'mne-tutorial',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/bicycle-control-design',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'bicycle_control',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/computational-bayesian-analysis',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'montecarlo',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/bioinformatics',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'bioinformatics',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/baltimore-vital-signs',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'baltimore',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/aircraft-pitch-analysis-matlab-plotly',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'aircraft_pitch',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/cufflinks',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'cufflinks',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/survival-analysis-r-vs-python',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'survival_analysis',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/amazon-redshift',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'redshift',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/apache-spark',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'apachespark',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/principal-component-analysis',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'principal_component_analysis',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/big-data-analytics-with-pandas-and-sqlite',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'sqlite',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/ukelectionbbg',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'ukelectionbbg',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/salesforce',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'salesforce',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/graph-gmail-inbox-data',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'gmail',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/markowitz-portfolio-optimization',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'markowitz',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/cartodb',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'cartodb',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/network-graphs',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'networkx',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/subplots',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'make_subplots',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/basemap-maps',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'basemap',
'body.html'),
priority=0.5
),
dict(
location='/ipython-notebooks/collaboration',
lmfile=os.path.join(
settings.TOP_DIR,
'shelly',
'templates',
'api_docs',
'includes',
'ipython_notebooks',
'collaborate',
'body.html'),
priority=0.5
)
]
return items