danieljfarrell

// http://apple.stackexchange.com/questions/6707/how-to-stop-os-x-from-writing-spotlight-and-trash-files-to-memory-cards-and-usb
mdutil -i off /Volumes/yourUSBstick
cd /Volumes/yourUSBstick
rm -rf .{,_.}{fseventsd,Spotlight-V*,Trashes}
mkdir .fseventsd
touch .fseventsd/no_log .metadata_never_index .Trashes
cd -

danieljfarrell

def non_linear_parameters_95_percent_confidence_interval(fvec, jac):
    """Returns the 95% confidence interval on parameters from
    non-linear fit results."""
    # residual sum of squares
    rss = np.sum(fvec**2)
    # number of data points and parameters
    n, p = jac.shape
    # the statistical degrees of freedom
    nmp = n - p
    # mean residual error

danieljfarrell

import pandas as pd
from sklearn.preprocessing import MultiLabelBinarizer

# Feature-list data frame
df = pd.DataFrame(columns = ["features"], index=['Item 1', 'Item 2'])
df['features'] = [["A", "B"], ["C", "D"]]

# Use scikits-learn to create feature matrix and feature names
mlb = MultiLabelBinarizer()
feature_column_name = 'features'

danieljfarrell

from tables import *

# Isolated the copying logic
def append_column(table, group, name, column):
    """Returns a copy of `table` with an empty `column` appended named `name`."""
    
    description = table.description._v_colObjects.copy()
    description[name] = column
    copy = Table(group, table.name+"_copy", description)
    

danieljfarrell

import numpy as np

def magnitude(vector):
   return np.sqrt(np.dot(np.array(vector),np.array(vector)))

def norm(vector):
   return np.array(vector)/magnitude(np.array(vector))

def lineRayIntersectionPoint(rayOrigin, rayDirection, point1, point2):
    """

danieljfarrell

extension Array {
    mutating func removeObject<U: Equatable>(object: U) {
        var index: Int?
        for (idx, objectToCompare) in enumerate(self) {
            if let to = objectToCompare as? U {
                if object == to {
                    index = idx
                }
            }
        }

danieljfarrell

daniel@DJF2:~/dev/git/odes*development$ rm -rf build/
daniel@DJF2:~/dev/git/odes*development$ python setup.py install
=============================================
parent package is scikits
top path is /Users/daniel/dev/git/odes
=============================================
lapack_opt_info:
  FOUND:
    extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
    define_macros = [('NO_ATLAS_INFO', 3)]

danieljfarrell

from fipy import *
import numpy as np

"""
This script illustrates a failure with the finite volume method for an elliptical problem on a non-uniform mesh.
For more information see the question and answer here,
http://scicomp.stackexchange.com/questions/8577/peculiar-error-when-solving-the-poisson-equation-on-a-non-uniform-mesh-1d-only
"""

def fipy_step_charge():

danieljfarrell

danieljfarrell