wcbeard

class CustomFlask(Flask):
    "https://gist.github.com/lost-theory/3925738"
    jinja_options = Flask.jinja_options.copy()
    jinja_options.update(dict(
        block_start_string='%%',
        block_end_string='%%',
        variable_start_string='<%',
        variable_end_string='%>',
        comment_start_string='<#',
        comment_end_string='#>',

wcbeard

# Pandas Quickstart #
## First off ##
Pandas has Series (list of values with index) and DataFrames (collection of Series).

- Each Series in a DataFrame is associated with a column name
- Each Series within a DataFrame must have the same length

## View ##
See first *n* rows: `.head(n)` (`n=5` by default):

wcbeard

"""
Benchmark script to bench scikit-learn's RandomForestClassifier
vs. R's randomForest.

It uses rpy2 to call R from python. Timings for randomForest are
pessimistic due to a constant overhead by wrapping numpy matrices
in R data_frames. The effect of the overhead can be reduced
by increasing the number of trees.

Note: make sure the LD_LIBRARY_PATH is set for rpy2::