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There are 16 fundamental data types, or classes, in MATLAB. Each of these classes is in the form of a matrix or array. With the exception of function handles, this matrix or array is a minimum of 0-by-0 in size and can grow to an n-dimensional array of any size. A function handle is always scalar (1...

A factory decreases coupling between code that needs to create objects from object creation code. Object creation is not made explicitly by calling a class constructor but by calling some function that creates the object on behalf the caller. A simple Java example is the following one: interface Ca...

Imports System.IO Dim filename As String = "c:\path\to\file.txt" File.WriteAllText(filename, "Text to write" & vbCrLf)

Dim filename As String = "c:\path\to\file.txt" If System.IO.File.Exists(filename) Then Dim writer As New System.IO.StreamWriter(filename) writer.Write("Text to write" & vbCrLf) 'Add a newline writer.close() End If

using System.Text; using System.IO; string filename = "c:\path\to\file.txt"; //'using' structure allows for proper disposal of stream. using (StreamWriter writer = new StreamWriter(filename")) { writer.WriteLine("Text to Write\n"); }

using System.IO; using System.Text; string filename = "c:\path\to\file.txt"; File.writeAllText(filename, "Text to write\n");

A basic plot is created by calling plot(). Here we use the built-in cars data frame that contains the speed of cars and the distances taken to stop in the 1920s. (To find out more about the dataset, use help(cars)). plot(x = cars$speed, y = cars$dist, pch = 1, col = 1, main = "Distance ...

matplot is useful for quickly plotting multiple sets of observations from the same object, particularly from a matrix, on the same graph. Here is an example of a matrix containing four sets of random draws, each with a different mean. xmat <- cbind(rnorm(100, -3), rnorm(100, -1), rnorm(100, 1),...

Histograms allow for a pseudo-plot of the underlying distribution of the data. hist(ldeaths) hist(ldeaths, breaks = 20, freq = F, col = 3)

The following program says hello to the user. It takes one positional argument, the name of the user, and can also be told the greeting. import argparse parser = argparse.ArgumentParser() parser.add_argument('name', help='name of user' ) parser.add_argument('-g', '--greeting', ...

To join two or more path components together, firstly import os module of python and then use following: import os os.path.join('a', 'b', 'c') The advantage of using os.path is that it allows code to remain compatible over all operating systems, as this uses the separator appropriate for the pl...

Use os.path.abspath: >>> os.getcwd() '/Users/csaftoiu/tmp' >>> os.path.abspath('foo') '/Users/csaftoiu/tmp/foo' >>> os.path.abspath('../foo') '/Users/csaftoiu/foo' >>> os.path.abspath('/foo') '/foo'

To split one component off of the path: >>> p = os.path.join(os.getcwd(), 'foo.txt') >>> p '/Users/csaftoiu/tmp/foo.txt' >>> os.path.dirname(p) '/Users/csaftoiu/tmp' >>> os.path.basename(p) 'foo.txt' >>> os.path.split(os.getcwd()) ('/Users/csafto...

docopt turns command-line argument parsing on its head. Instead of parsing the arguments, you just write the usage string for your program, and docopt parses the usage string and uses it to extract the command line arguments. """ Usage: script_name.py [-a] [-b] <path> ...

Comparing sets In R, a vector may contain duplicated elements: v = "A" w = c("A", "A") However, a set contains only one copy of each element. R treats a vector like a set by taking only its distinct elements, so the two vectors above are regarded as the same: set...

To find every vector of the form (x, y) where x is drawn from vector X and y from Y, we use expand.grid: X = c(1, 1, 2) Y = c(4, 5) expand.grid(X, Y) # Var1 Var2 # 1 1 4 # 2 1 4 # 3 2 4 # 4 1 5 # 5 1 5 # 6 2 5 The result is a data.frame with one...

unique drops duplicates so that each element in the result is unique (only appears once): x = c(2, 1, 1, 2, 1) unique(x) # 2 1 Values are returned in the order they first appeared. duplicated tags each duplicated element: duplicated(x) # FALSE FALSE TRUE TRUE TRUE anyDuplicated(x) >...

To count how many elements of two sets overlap, one could write a custom function: xtab_set <- function(A, B){ both <- union(A, B) inA <- both %in% A inB <- both %in% B return(table(inA, inB)) } A = 1:20 B = 10:30 xtab_set(A, B) # inB ...

Imagine you have the following HTML: <div> <label>Name:</label> John Smith </div> And you need to locate the text "John Smith" after the label element. In this case, you can locate the label element by text and then use .next_sibling property: from ...

BeautifulSoup has a limited support for CSS selectors, but covers most commonly used ones. Use select() method to find multiple elements and select_one() to find a single element. Basic example: from bs4 import BeautifulSoup data = """ <ul> <li class="item&quo...