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You first need to run a Stanford CoreNLP server: java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9000 -timeout 50000 Here is a code snippet showing how to pass data to the Stanford CoreNLP server, using the pycorenlp Python package. from pycorenlp import Stanf...

Simple Assignment = is a simple assignment. It creates a new local variable if the variable was not previously referenced. x = 3 y = 4 + 5 puts "x is #{x}, y is #{y}" This will output: x is 3, y is 9 Parallel Assignment Variables can also be assigned in parallel, e.g. x, y = 3,...

My first Wicket setup, app showing Hello World on home screen: import org.apache.wicket.protocol.http.WebApplication; public class HelloWorldApplication extends WebApplication { public HelloWorldApplication() { } @Override public Class getHomePage() { retur...

class MyDataObject extends DataObject { private static $singular_name = 'My Object'; private static $plural_name = 'My Objects'; ... }

class SortDataObject extends DataObject { private static $db = array( 'Name' => 'Varchar', 'SortOrder' => 'Int' ); private static $default_sort = 'SortOrder DESC'; }

class MyDataObject extends DataObject { private static $db = array( 'Name' => 'Varchar' ); private static $has_one = array( 'OtherDataObject' => 'OtherDataObject' ); private static $summary_fields = array( 'Name', 'OtherDat...

class MyDataObject extends DataObject { private static $db = array( 'Name' => 'Varchar' ); private static $has_one = array( 'OtherDataObject' => 'OtherDataObject' ); private static $summary_fields = array( 'Name', 'OtherDat...

class MyDataObject extends DataObject { ... private static $has_many = array( 'OtherDataObjects' => 'OtherDataObject' ); function getCMSFields() { $fields = parent::getCMSFields(); if ($gridField = $fields->dataFieldByName('OtherDataObject...

class MyAdmin extends ModelAdmin { ... function getEditForm($id = null, $fields = null) { $form = parent::getEditForm($id, $fields); if ($this->modelClass == 'MyDataObjectName') { $form->Fields() ->fieldByName($this->sanitis...

Objects that respond to to_proc can be converted to procs with the & operator (which will also allow them to be passed as blocks). The class Symbol defines #to_proc so it tries to call the corresponding method on the object it receives as parameter. p [ 'rabbit', 'grass' ].map( &:upcase ) ...

To check whether a value is a character use the is.character() function. To coerce a variable to a character use the as.character() function. x <- "The quick brown fox jumps over the lazy dog" class(x) [1] "character" is.character(x) [1] TRUE Note that numerics can be ...

There are two sorts of logical operators: those that accept and return vectors of any length (elementwise operators: !, |, &, xor()) and those that only evaluate the first element in each argument (&&, ||). The second sort is primarily used as the cond argument to the if function. Logic...

Sometimes we want to prepare a context for each test to be run under. The setUp method is run prior to each test in the class. tearDown is run at the end of every test. These methods are optional. Remember that TestCases are often used in cooperative multiple inheritance so you should be careful to...

str.contains() method can be used to check if a pattern occurs in each string of a Series. str.startswith() and str.endswith() methods can also be used as more specialized versions. In [1]: animals = pd.Series(['cat', 'dog', 'bear', 'cow', 'bird', 'owl', 'rabbit', 'snake']) Check if strings con...

In [1]: ser = pd.Series(['lORem ipSuM', 'Dolor sit amet', 'Consectetur Adipiscing Elit']) Convert all to uppercase: In [2]: ser.str.upper() Out[2]: 0 LOREM IPSUM 1 DOLOR SIT AMET 2 CONSECTETUR ADIPISCING ELIT dtype: object All lowercase: In [3]: ser...

Given the following DataFrame: In [11]: df = pd.DataFrame(np.random.randn(6, 3), columns=['A', 'B', 'C']) In [12]: df.set_index(['A', 'B'], inplace=True) In [13]: df Out[13]: C A B 0.902764 -0.259656 -1.864541 -0.695893 0.308893 0...

Given the following DataFrame: In [11]: df = pd.DataFrame({'a':[1,1,1,2,2,3],'b':[4,4,5,5,6,7,],'c':[10,11,12,13,14,15]}) In [12]: df.set_index(['a','b'], inplace=True) In [13]: df Out[13]: c a b 1 4 10 4 11 5 12 2 5 13 6 14 3 7 15 You can iterate by any lev...

This example shows how to use column data to set a MultiIndex in a pandas.DataFrame. In [1]: df = pd.DataFrame([['one', 'A', 100], ['two', 'A', 101], ['three', 'A', 102], ...: ['one', 'B', 103], ['two', 'B', 104], ['three', 'B', 105]], ...: columns=['c1'...

It's easier to implement some UDFs on the worksheet if full column references can be passed in as parameters. However, due to the explicit nature of coding, any loop involving these ranges may be processing hundreds of thousands of cells that are completely empty. This reduces your VBA project (and ...

Some things all beginners should know / do that will help them have a good start with VB .Net: Set the following Options: 'can be permanently set ' Tools / Options / Projects and Soluntions / VB Defaults Option Strict On Option Explicit On Option Infer Off Public Class Form1 End Class ...