This tutorial showcases LinearLeastSquares.jl through a few involved examples of linearly constrained least squares problems. We’ll refer to LinearLeastSquares.jl as “LLS” throughout. The plots generated by the following examples use the Gadfly package. The documentation on how to use Gadfly can be found here, but by no means is it necessary to read unless you would like to create plots for yourself. To install Gadfly, run the following command in a Julia shell
Pkg.add("Gadfly")
Some of the examples will also use data files, which can all be found here.
Regression is the problem of trying to fit a function to some data. In this example, we will frame some simple regression problems as unconstrained least squares problems for LLS to solve.
We are given n points, represented by two n-by-1 vectors, x_data and y_data. The x and y coordinates of the i-th point are given by the i-th entries of x_data and y_data, respectively.
We’ll start by generating and visualizing some data to get a better sense of the problem at hand:
# Set the random seed to get consistent data
srand(1)
# Number of examples to use
n = 100
# Specify the true value of the variable
true_coeffs = [2; -2; 0.5]
# Generate data
x_data = rand(n, 1) * 5
x_data_expanded = hcat([x_data .^ i for i in 1 : 3]...)
y_data = x_data_expanded * true_coeffs + 0.5 * rand(n, 1)
p = plot(
x=x_data, y=y_data, Geom.point,
Theme(panel_fill=color("white"))
)
The following graph of the data will appear
We will first try to fit a line to the data. A general function for a line is
where \(\alpha\) is the offset and \(\beta\) is the slope. We would like to pick \(\alpha\) and \(\beta\) so that our data points lie “close” to our line. For a point with coordinates \(x\) and \(y\) the residual between the point and our line is defined as
One reasonable way to measure the how different line is from the data is to sum the squares of the residuals between each point in the data and the line:
We would like to choose \(\alpha\) and \(\beta\) to minimize this error. We can now frame this problem in Julia code and solve our problem using LLS:
slope = Variable()
offset = Variable()
line = offset + x_data * slope
residuals = line - y_data
fit_error = sum_squares(residuals)
optval = minimize!(fit_error)
# plot the data and the line
t = [0; 5; 0.1]
p = plot(
layer(x=x_data, y=y_data, Geom.point),
layer(x=t, y=evaluate(slope) * t + evaluate(offset), Geom.line),
Theme(panel_fill=color("white"))
)
The line of best fit on our data is shown below:
A line is probably not the best function to fit to this data. Instead, let’s try to fit a quadratic function, which has the form:
where the new coefficient \(\gamma\) corresponds to the quadratic term A similar residual function from the linear regression example can be used here; we measure the error of our quadratic fit by summing the squares of the residuals
Again, we pick our coefficients to minimize the error. Here is the Julia code to solve this problem using LLS and plot the quadratic:
quadratic_coeff = Variable()
slope = Variable()
offset = Variable()
quadratic = offset + x_data * slope + quadratic_coeff * x_data .^ 2
residuals = quadratic - y_data
fit_error = sum_squares(residuals)
optval = minimize!(fit_error)
# Create some evenly spaced points for plotting, again replicate powers
t = reshape([0 : 0.1 : 5], length([0 : 0.1 : 5]), 1)
t_squared = t .^ 2
# Plot our regressed function
p = plot(
layer(x=x_data, y=y_data, Geom.point),
layer(x=t, y=evaluate(offset) + t * evaluate(slope) + t_squared * evaluate(quadratic_coeff), Geom.line),
Theme(panel_fill=color("white"))
)
A much better fit than the line!
A simple control problem on a system usually involves a variable \(x(t)\) that denotes the state of the system over time, and a variable \(u(t)\) that denotes the input into the system over time. Linear constraints are used to capture the evolution of the system over time:
where the numerical matrices \(A\) and \(B\) are called the dynamics and input matrices, respectively.
The goal of the control problem is to find a sequence of inputs \(u(t)\) that will allow the state \(x(t)\) to achieve specified values at certain times. For example, we can specify initial and final states of the system:
Additional states between the initial and final states can also be specified. These are known as waypoint constraints. Often, the input and state of the system will have physical meaning, so we often want to find a sequence inputs that also minimizes a least squares objective like the following:
where \(F\) and \(G\) are numerical matrices.
We’ll now apply the basic format of the control problem to an example of controlling the motion of an object in a fluid over \(T\) intervals, each of \(h\) seconds. The state of the system at time interval \(t\) will be given by the position and the velocity of the object, denoted \(p(t)\) and \(v(t)\), while the input will be forces applied to the object, denoted by \(f(t)\). By the basic laws of physics, the relationship between force, velocity, and position must satisfy:
Here, \(a(t)\) denotes the acceleration at time \(t\), for which we we use \(a(t) = f(t) / m + g - d v(t)\), where \(m\), \(d\), \(g\) are constants for the mass of the object, the drag coefficient of the fluid, and the acceleration from gravity, respectively.
Additionally, we have our initial/final position/velocity conditions:
One reasonable objective to minimize would be
We would like to keep both the forces small to perhaps save fuel, and keep the velocities small for safety concerns. Here \(\mu\) serves as a parameter to control which part of the objective we deem more important, keeping the velocity small or keeping the force small.
The following code builds and solves our control example:
# Some constraints on our motion
# The object should start from the origin, and end at rest
initial_velocity = [-20; 100]
final_position = [100; 100]
T = 100 # The number of timesteps
h = 0.1 # The time between time intervals
mass = 1 # Mass of object
drag = 0.1 # Drag on object
g = [0, -9.8] # Gravity on object
# Declare the variables we need
position = Variable(2, T)
velocity = Variable(2, T)
force = Variable(2, T - 1)
# Create a problem instance
mu = 1
constraints = []
# Add constraints on our variables
for i in 1 : T - 1
constraints += position[:, i + 1] == position[:, i] + h * velocity[:, i]
end
for i in 1 : T - 1
acceleration = force[:, i]/mass + g - drag * velocity[:, i]
constraints += velocity[:, i + 1] == velocity[:, i] + h * acceleration
end
# Add position constraints
constraints += position[:, 1] == 0
constraints += position[:, T] == final_position
# Add velocity constraints
constraints += velocity[:, 1] == initial_velocity
constraints += velocity[:, T] == 0
# Solve the problem
optval = minimize!(sum_squares(force), constraints)
We can plot the trajectory taken by the object. The blue point denotes the initial position, and the green point denotes the final position.
pos = evaluate(position)
p = plot(
layer(x=[pos[1, 1]], y=[pos[2, 1]], Geom.point, Theme(default_color=color("blue"))),
layer(x=[pos[1, T]], y=[pos[2, T]], Geom.point, Theme(default_color=color("green"))),
layer(x=pos[1, :], y=pos[2, :], Geom.line(preserve_order=true)),
Theme(panel_fill=color("white"))
)
We can also see how the magnitude of the force changes over time.
p = plot(x=1:T, y=sum(evaluate(force).^2, 1), Geom.line, Theme(panel_fill=color("white")))
Tomography is the process of reconstructing a density distribution from given integrals over sections of the distribution. In our example, we will work with tomography on black and white images. Suppose \(x\) be the vector of \(n\) pixel densities, with \(x_j\) denoting how white pixel \(j\) is. Let \(y\) be the vector of \(m\) line integrals over the image, with \(y_i\) denoting the integral for line \(i\). We can define a matrix \(A\) to describe the geometry of the lines. Entry \(A_{ij}\) describes how much of pixel \(j\) is intersected by line \(i\). Assuming our measurements of the line integrals are perfect, we have the relationship that
However, anytime we have measurements, there are usually small errors that occur. Therefore it makes sense to try to minimize
This is simply an unconstrained least squares problem; something we can readily solve in LLS!
line_mat_x = readdlm("tux_sparse_x.txt")
line_mat_y = readdlm("tux_sparse_y.txt")
line_mat_val = readdlm("tux_sparse_val.txt")
line_vals = readdlm("tux_sparse_lines.txt")
# Form the sparse matrix from the data
# Image is 50 x 50
img_size = 50
# The number of pixels in the image
num_pixels = img_size * img_size
line_mat = spzeros(3300, num_pixels)
num_vals = length(line_mat_val)
for i in 1:num_vals
x = int(line_mat_x[i])
y = int(line_mat_y[i])
line_mat[x + 1, y + 1] = line_mat_val[i]
end
x = Variable(num_pixels)
objective = sum_squares(line_mat * x - line_vals)
optval = minimize!(objective)
rows = zeros(img_size*img_size)
cols = zeros(img_size*img_size)
for i = 1:img_size
for j = 1:img_size
rows[(i-1)*img_size + j] = i
cols[(i-1)*img_size + j] = img_size + 1 - j
end
end
p = plot(
x=rows, y=cols, color=reshape(evaluate(x), img_size, img_size), Geom.rectbin,
Scale.ContinuousColorScale(Scale.lab_gradient(color("black"), color("white")))
)
The final result of the tomography will look something like
One common problem found in machine learning is the classification of a group of objects into two subgroups. In this example, we will try to separate sports articles from other texts in a collection of documents.
When classifying text documents, one of the most common techniques is to build a term-by-document frequency matrix \(F\), where \(F_{ij}\) reflects the frequency of term \(j\) in document \(i\).
The documents are then split into a training and testing set. For each document in the training example, we also label the document with a label. In this case, sports articles are labelled with a \(1\) and all other text documents are labelled with a \(-1\). One reasonable approach to classify the documents is to model the label as an affine function of the term frequencies of the document:
The goal now is to find a scalar \(v\) and a weight vector \(w\), where \(w_j\) reflects how important term \(j\) is in determining the label of the document. In our context, a positive value means that the term is often seen in sports articles, while a negative value means the term is often seen in the other documents. One reasonable approach to finding the best \(w\) and \(v\) is to minimize the following objective:
The first part of the objective is to ensure that our linear model actually closely reproduces the labels of our training documents. The second part of the objective ensures that the components of \(w\) are relatively small. Keeping \(w\) small allows our model to behave better on documents not in the training set. The regularization parameter \(\lambda\) is used to control how much we should prioritize keeping \(w\) small versus how close the affine function should fit the labels.
Here is the LLS code:
# read in the data
include("MatrixMarket.jl")
using MatrixMarket
A = full(MatrixMarket.mmread("largeCorpus.mtx"))
# extract the classes of each document
classes = A[:,1]
# TODO: modify classes so that 4 5 6 are 1 2 3
classes[classes .> 3] = classes[classes .> 3] - 3
A = A[:, 2:end]
# split into train/test
numData = size(A, 1)
data = randperm(numData)
ind = floor(numData*0.7)
training = data[1:ind]
test = data[ind+1:end]
trainDocuments = A[training,:]
trainClasses = classes[training,:]
testDocuments = A[test,:]
testClasses = classes[test,:]
# change all other than sports to -1 (sports is 1)
holdClass = 1
trainClasses[trainClasses .!= holdClass] = -1
trainClasses[trainClasses .== holdClass] = 1
testClasses[testClasses .!= holdClass] = -1
testClasses[testClasses .== holdClass] = 1
# build the problem and solve with LLS
lambda = 100
w = Variable(size(A, 2))
v = Variable()
objective = sum_squares(trainDocuments * w + v - trainClasses) + lambda * sum_squares(w)
optval = minimize!(objective)
We can now sort our weight vector \(w\) to see which words were the most indicative of sports articles and which were most indicative of nonsports.
# print out the 5 words most indicative of sports and nonsports
words = String[]
f = open("largeCorpusfeatures.txt")
for i = 1:length(evaluate(w))
push!(words, readline(f))
end
indices = sortperm(vec(evaluate(w)))
for i = 1:5
print(words[indices[i]])
end
for i = 0:4
print(words[indices[length(words) - i]])
end
Each run will yield different words, but it’ll be clear which words come from sports articles.
A time series is a sequence of data points, each associated with a time. In our example, we will work with a time series of daily temperatures in the city of Melbourne, Australia over a period of a few years. Let \(x\) be the vector of the time series, and \(x_i\) denote the temperature in Melbourne on day \(i\). Here is a picture of the time series:
We can quickly compute the mean of the time series to be \(11.2\). If we were to always guess the mean as the temperature of Melbourne on a given day, the RMS error of our guesswork would be \(4.1\). We’ll try to lower this RMS error by coming up with better ways to model the temperature than guessing the mean.
A simple way to model this time series would be to find a smooth curve that approximates the yearly ups and downs. We can represent this model as a vector \(s\) where \(s_i\) denotes the temperature on the \(i\)-th day. To force this trend to repeat yearly, we simply want
for each applicable \(i\).
We also want our model to have two more properties. The first is that the temperature on each day in our model should be relatively close to the actual temperature of that day. The second is that our model needs to be smooth, so the change in temperature from day to day should be relatively small. The following objective would capture both properties:
where \(\lambda\) is the smoothing parameter. The larger \(\lambda\) is, the smoother our model will be.
The following code uses LLS to find and plot the model:
temps = readdlm("melbourne_temps.txt", ',')
n = size(temps)[1]
p = plot(
x=1:1500, y=temps[1:1500], Geom.line,
Theme(panel_fill=color("white"))
)
# draw(PNG("melbourne.png", 16cm, 12cm), p)
yearly = Variable(n)
eq_constraints = []
for i in 365 + 1 : n
eq_constraints += yearly[i] == yearly[i - 365]
end
smoothing = 100
smooth_objective = sum_squares(yearly[1 : n - 1] - yearly[2 : n])
optval = minimize!(sum_squares(temps - yearly) + smoothing * smooth_objective, eq_constraints)
residuals = temps - evaluate(yearly)
# Plot smooth fit
p = plot(
layer(x=1:1500, y=evaluate(yearly)[1:1500], Geom.line, Theme(default_color=color("red"), line_width=2px)),
layer(x=1:1500, y=temps[1:1500], Geom.line),
Theme(panel_fill=color("white"))
)
We can also plot the residual temperatures, \(r\), define as \(r = x - s\).
# Plot residuals for a few days
p = plot(
x=1:100, y=residuals[1:100], Geom.line,
Theme(default_color=color("green"), panel_fill=color("white"))
)
Our smooth model has a RMS error of \(2.7\), a significant improvement from just guessing the mean, but we can do better.
We now make the hypothesis that the residual temperature on a given day is some linear combination of the previous \(5\) days. Such a model is called autoregressive. We are essentially trying to fit the residuals as a function of other parts of the data itself. We want to find a vector of coefficients \(a\) such that
This can be done by simply minimizing the following sum of squares objective
The following LLS code solves this problem and plots our autoregressive model against the actual residual temperatures:
# Generate the residuals matrix
ar_len = 5
residuals_mat = residuals[ar_len : n - 1]
for i = 1:ar_len - 1
residuals_mat = [residuals_mat residuals[ar_len - i : n - i - 1]]
end
# Solve autoregressive problem
ar_coef = Variable(ar_len)
optval2 = minimize!(sum_squares(residuals_mat * ar_coef - residuals[ar_len + 1 : end]))
# plot autoregressive fit of daily fluctuations for a few days
ar_range = 1:145
day_range = ar_range + ar_len
p = plot(
layer(x=day_range, y=residuals[day_range], Geom.line, Theme(default_color=color("green"))),
layer(x=day_range, y=residuals_mat[ar_range, :] * evaluate(ar_coef), Geom.line, Theme(default_color=color("red"))),
Theme(panel_fill=color("white"))
)
Now, we can add our autoregressive model for the residual temperatures to our smooth model to get an better fitting model for the daily temperatures in the city of Melbourne:
total_estimate = evaluate(yearly)
total_estimate[ar_len + 1 : end] += residuals_mat * evaluate(ar_coef)
# plot final fit of data
p = plot(
layer(x=1:1500, y=total_estimate[1:1500], Geom.line, Theme(default_color=color("red"))),
layer(x=1:1500, y=temps[1:1500], Geom.line),
Theme(panel_fill=color("white"))
)
The RMS error of this final model is \(2.3\).


@* * This template takes a single argument, a String containing a * message to display. *@ @(tasks: List[Task], taskForm: Form[(String, String)])(implicit messages: Messages) @import helper._ @* * Call the `main` template with two arguments. The first * argument is a `String` with the title of the page, the second * argument is an `Html` object containing the body of the page. *@ @main("ToDo list") { @* * Get an `Html` object by calling the built-in Play welcome * template and passing a `String` message. *@
| Idea | Who | When | Status | Complete? | ||
|---|---|---|---|---|---|---|
| @task.label | @task.who | @task.mytime | @if(task.ready == 0) {unfinished}else{finished} |
|


Ex: Obese
Dataset Background
## [1] 2
Data Wrangling & Preparation
Read in Raw Data
Format Variables
Create New VAriables
Restructure
Exploratory Analysis of Raw Data
Tabulate
Summary Statistics
Visualize
Univariate Distributions
Bivariate Distributions
Inferncial Analysis with Modeling
Regression
Tabulate
Visualize
Results & Discussion


Welwyn Half Marathon
Welwyn Garden City ENG
Race Winners
(35 runnings)
12
Jun
1994
13
Jun
1993
14
Jun
1992
09
Jun
1991
10 Jun
1990
11 Jun
1989
12
Jun
1988
14
Jun
1987
15
Jun
1986
08
Jun
1985
10 Jun
1984
12 Jun
1983
13 Jun
1982
14
Jun
1981
06
Jul
1980
17 Jun
1979
24
Jun
1978
25
Jun
1977
26
Jun
1976
21 Jun
1975
06
Jul
1974
07
Jul
1973
01
Jul
1972
03
Jul
1971
04
Jul
1970
05
Jul
1969
06
Jul
1968
01
Jul
1967
02
Jul
1966
03
Jul
1965
Notes: 1960 was the inaugural year. Race organized by the Welwyn AC, later
known as the Verlea AC. This was also the venue for the 1960 and 1962 AAA
marathons, using one loop of the marathon course and reported by Sam Ferris as
accurately measured. The course was certified in the mid-1980's with no
adjustments needed.
1:11:50
Andrew Holt-2
1:23:35
Zoe Lowe (ENG)
1:12:46
Andrew Holt (ENG)
1:30:22
Peggy Wiseman-2
1:11:35
Paul Simons (ENG)
1:36:31
Peggy Wiseman (ENG)
1:09:41
Adrian Mason-2
1:26:52
Irene MacBeath (ENG)
1:09:00
Kirk Dumpleton (ENG)
1:23:37
M Robinson (ENG)
1:09:36
Adrian Mason (ENG)
1:22:58
H Baxter (ENG)
---
n/a
---
n/a
---
n/a
---
n/a
1:11:59
P Forster (ENG)
1:24:06
Amanda Cooper (ENG)
1:06:48
Chris Bould (ENG)
1:20:27
Rosemary Harrold (ENG)
1:05:43
Ian Thompson (ENG)
1:21:32
S Bradley (ENG)
1:05:54
Anthony Ross (ENG)
1:20:28
Lyn Billington (ENG)
1:04:02
Joe Patton (ENG)
1:17:15
Leslie Watson-2
1:07:05
Dave Patterson (ENG)
1:35:01
Leslie Watson (SCO)
1:07:08
Stephen Livingstone (ENG)
.
1:06:10
David Clark (SCO)
1:36:37
Betty Norrish (WAL)
1:02:47
Anthony Simmons-2
1:17:18
Rosemary Cox (ENG)
1:06:01
Michael Hurd (ENG)
1:10:23
Barry Watson (ENG)
1:07:39
Gerry Taylor (ENG)
1:05:30
Colin Kirkham (ENG)
1:05:10
Jim Wright-2
1:06:43
Anthony Simmons (WAL)
1:06:17
Alan Richards (ENG)
1:04:50
William Adcocks (ENG)
1:06:26
Barry Collins (ENG)
1:05:39
Tony Cox (ENG)
1:06:57
Jim Wright (SCO)
1:08:06.5
Brian Kilby-2
1:06:36.8
Donald Shelley (ENG)
04 Jul
1964
1:07:55.4
Eric-John
Austin-2
06 Jul
1963
1:08:21
Eric-John Austin (ENG)
07 Jul 1962
1:07:26
Brian Kilby (ENG)
08 Jul 1961
1:08:04.8
E G Matley (ENG)
18 Jun
1960
1:13:18
Terry Edwards (ENG)
Most Wins
(1960/1994)
Men
2
Eric-John Austin
(ENG)
1963-64
Brian Kilby (ENG)
1962,1966
Jim Wright (SCO)
1967,1973
Anthony Simmons
(WAL)
1972,1978
Adrian Mason
(ENG)
1989,1991
Andrew Holt (ENG)
1993-94
Women
2
Leslie Watson
(SCO)
1981-82
Peggy Wiseman
(ENG)
1992-93
Prize Money
(ADR qualified runners)
No prize money has been awarded at this race according to available information.
Race Time Bias
(sec/km)
Insufficient data to calculate the race time bias.
Competitive Level
(1990-date)
Insufficient data to calculate the race time bias.
Quality Performances
Men <1:03:00 1 <1:03:30 1 <1:04:00 1 <1:04:30 2 <1:05:00 7 <1:05:30 9 <1:06:00 15 Women no women under 1:17:00
Last Updated on 13 Jun 2012
Contributor: Mick McGeoch (50)


JavaScript, also known as JS, was invented in 1995 and has been utilized in various programming fields since then. It is a high-level, yet lightweight, interpreted programming language. It is not only used by web pages but also by many non-browsing environments such as Apache CouchDB and Node.js. With the help of JavaScript, dynamic content is displayed on web pages nicely and smoothly. With that being said, if you are looking forward to becoming a successful WordPress developer, you must learn how to use JavaScript to enhance your users' experience. Follow along as we discuss some easy tips that can come in handy when learning JavaScript.
Before learning JS, you should know which level you stand on. Generally, there are 3 types of people:
Somebody who has very less or , CSS, JS and has zero experience in editing code for themes
Complete beginners or level 0
zero knowledge of HTML
They have basics of CSS and HTML and have some experience in editing or making themes
Tinkering beginners or level 1
As the name suggests, they have previous knowledge of HTML and CSS. They also have some experience in developing simple themes.
Experienced beginners or level 2
Once you are clear on your level, you can take the next step to learn JavaScript as a WordPress developer. This will help you enhance the UX for simple blogging audience to big e-commerce sites. People new to blogging and digital marketing often find that JS is difficult to master, but it can turn the tables and make your content stand out.
Now, when you know your level and if you already have some knowledge about CSS and HTML, learn PHP, the best database language to keep track of your marketing needs. PHP helps to store and then process all the content we require. Honestly, learning PHP is not easy but there are certain sites that can prove to be helpful.
Previously known as PHP Academy. They offer a variety of tutorial videos giving an idea of how PHP works and a great merit with this is, they are all free!
They offer a course on PHP that helps to learn basic codes, concepts, and functions.
They also offer tutorial videos that are over 20 hours and lot educating coursework.
Offer free tutorials especially from version 5 and onwards.
W3 Schools Tutorials on PHP
Selecting an appropriate framework is important for saving time and working efficiently. Some of the most famous frameworks are:
It is important to pick the right framework and different frameworks work for different developers. Make sure to choose each framework according to their expertise and preference. Generally, if you are aware of the MVC structure, AngularJS can be really helpful, especially for initial phasing. If you are not well acquainted with MVC, ReactJS may be the right option for you. It also contains the View option and is popular among designers. There are several other frameworks that are available, but it is recommended in the initial stage to choose any of the above-mentioned frameworks in order to save time and trouble.
It is important to set your requirements and vision in order to specify what techniques and skills you should learn. Generally, WordPress developers' needs can be divided into two main categories:
Frontend Development: This category provides a number of options to choose from e.g. angular/ angular.js, ember.js (helps to create ambitious web applications), tasteJS/todomvc (helps to select an MV framework) polymer (build modern apps using web components), spine (lightweight MVC library), etc.
Backend Development : Node.js is the ideal framework for this category. It is used by developers who take care of server-side programming. However in order to use Node.js. you must have knowledge of PHP
It is essential to provide the same value to mobile users as desktop users, so make sure to employ the correct use of JS for your website. It is also important to that provides efficient service, speed, and reliability to both mobile and desktop users.
select a website builder
With the advent of the internet, there is no shortage of resources for learning any particular skill. This applies to JavaScript as well. Here are some very helpful resources:
JavaScript is Sexy: a great tool for both beginners and advanced developers. However, this site hasn't been updated in a long time
Codecademy's JavaScript Track: very popular among beginners and definitely worth a try.
Superhero.js: full of resources and tutorials to help learn JavaScript
You can also refer to the literature written by bloggers on WordPress and if you are into books, there are several books available on this topic, such as Exploring ES6.
Although basic level knowledge of JavaScript is enough to start working as a WordPress developer, you will definitely find it rewarding to know JavaScript in detail in the near future. In order to achieve this, you must have good command of the following:
Modern/modular patterns
JavaScript idiosyncrasies
Architecture of application
Cross-browser compatible JavaScript and DOM
With the help of things above, you can develop web applications and learn the difficult technical tricks that come with the territory.
is not a one day task. It requires continuous practice and assessment. You can do the following things to improve your skills and gain command over JavaScript. Needless to say, all of them require time and effort, hence you should be patient:
Learning JavaScript: JavaScript seminars are held worldwide, you can attend these seminars and learn from experienced programmers
JavaScript Toolsets: These prove to be really helpful, especially in JavaScript code
JS assessments: Quizzes and assessments exist on the internet on various websites. Evaluate yourself weekly and improve your scores
Try to study and research on your own and solve your queries with the help of books, resources, and other developers.
Knowing JavaScript surely benefits WordPress developers in many ways. Again, it is your choice about how much you want to learn. If you just want to be an average developer, learning the basics of JavaScript should be sufficient. But it is recommended to learn JavaScript in depth to keep using its amazing features in your WordPress developer career. Similarly, learning PHP and gaining practical knowledge is very important in order to achieve something big. We hope that these above-mentioned tips will be helpful. Good luck!


--- layout: post title: Having a Sense of Ownership date: 2011-12-05 01:49:55.000000000 -08:00 categories: - technical-writing tags: - Notes - Technical Writing status: draft type: post published: false ---
Last month a speaker at an internal conference talked about having a sense of ownership with your company's products. He compared his experience working in small companies versus working in large companies. The chief difference, he explained, is that in small companies, employees have a greater sense of ownership. For example, in building a website, all employees will exert 110% effort, because the success of the company connects directly with their jobs. If they do a lackluster job and the products fail, the company can easily disappear.
This same sense of ownership is often missing in larger companies, he said. In larger companies, employees treat projects much more like a list of tasks. They may perform the tasks with mediocre effort, without caring a whole lot. After the task is done, they go on to the next task, without any real sense of investment in the products. If something goes wrong, employees can easily point the finger at another group. They can also simply fade into the background.
Although without question, having a sense of ownership helps improve company products, ownership does has some limitations. I think it's possible to extend a sense of ownership too far. For example, if you feel ownership for products outside your assigned stewardship, and even abandon your own assignments to fulfill projects that seem more important, that sense of extreme ownership might be out of line.
In large companies, how do you get employees to take the same level of ownership that they do in small companies?


ISCSISTART
Section: Linux Administrator's Manual (8)Updated: Jan 2010
Index Return to Main Contents
NAME
iscsistart - iSCSI boot toolSYNOPSIS
iscsistart [OPTION]DESCRIPTION
iscsistart will start a session using the settings passed in, or using the iBFT or Open Firmware [OF] boot information. This program should not be run to manage sessions. Its primary use is to start sessions used for iSCSI root boot.OPTIONS
- [-i|--initiatorname=]name
- Set InitiatorName to name (Required if not using iBFT or OF)
- [-t|--targetname=]name
- Set TargetName to name (Required if not using iBFT or OF)
- [-g|--tgpt=]N
- Set target portal group tag to N (Required if not using iBFT or OF)
- [-a|--address=]A.B.C.D
- Set IP addres to A.B.C.D (Required if not using iBFT or OF)
- [-p|--port=]N
- Set port to N (Optional. Default 3260)
- [-u|--username=]N
- Set username to N (Optional)
- [-w|--password=]N
- Set password to N (Optional)
- [-U|-username_in=]N
- Set incoming username to N (Optional)
- [-W|--password_in=]N
- Set incoming password to N (Optional)
- [-d|--debug=]debug_level
- Print debugging information
- [-b|--fwparam_connect]
- Create a session to the target using the iBFT or OF info
- [-N|--fwparam_network]
- Bring up the network as specified by iBFT or OF
- [-f|--fwparam_print]
- Print the iBFT or OF info to STDOUT
- [-P|--param=]NAME=VALUE
- Set the parameter with the name NAME to VALUE. NAME is one of the settings in the node record or iscsid.conf. Multiple params can be passed in.
- [-h|--help]
- Display this help and exit
- [-v|--version]
-
Display version and exit
SEE ALSO
iscsiadm(8)AUTHORS
Open-iSCSI project <http://www.open-iscsi.org/>Mike Christie<EMAIL_ADDRESS>Index
This document was created by man2html, using the manual pages.
Time: 05:34:26 GMT, December 24, 2015


Start-up of the Week: UnitX - Making supercomputers accessible and affordable
RIYADH: The Saudi Falcons Club has applied a set of procedures and regulations to preserve falcons and their wildlife through the organization of a falcons trade and by raising awareness about their breeding and purchase.
The move comes amid the start of the countdown to the second edition of the King Abdulaziz Falcons Festival.
Events like this festival are held during this time of the year because of the nature of the birds. They do not tolerate high temperatures, which affect their ability to fly properly.
The club has also chosen the location of the events — in Malham, north of Riyadh — over a vast area, to enable the falcons to move freely and accommodate as many participants and visitors as possible.
In line with the Kingdom’s Vision 2030 reform plans, the Saudi Falcons Club seeks to strengthen Saudi Arabia’s position in the preservation of the environment and heritage. Its objectives are associated with the environment and sustainable development, which stipulate the need to preserve them as a national and humanitarian duty and as a responsibility to future generations.
The festival will open its doors to visitors for 16 days from early December. The elite falconers will compete in a 400 meter race and the Mazayen competition.


About NodeSchool
NodeSchool is an open source project run by volunteers with two goals: creating a high quality programming curriculum and to host community learning events. Our curriculum is focused around the "workshopper" format which was first created by Substack of the Internet in Summer 2013 when he wrote the stream-adventure workshopper.
The defining characteristic of the workshopper is the interactivity and automation. Workshoppers are made up of challenges of increasing difficulty. Each challenge starts by explaining a concept, and then presents a list of requirements for solving the challenge. Learners then try and write a computer program that satisfies the criteria. Find out more at the NodeSchool website.


 This is where Git will do all of its storing and tracking (i.e. this is like Git workspace). Make sure .git
exists:
# checking hidden files
ls -la
Let's take a peek at the directory .git
cd .git
ls -la
All the contents in .git
are managed by Git, so don't mess around any of these files. Everything that Git does is stored in this directory.
toy_project
directoryfile1.txt
with a couple of lines of textThe first thing we'll do is to tell Git to add all the changes that have been made to this project:
# add every change in this directory
git add .
Then, we'll commit the changes: in other words, tell Git to put the changes in permanent memory (i.e. in the repository).  You want to have a commit message that describes the changes that you're making in that commit set:
The reason to add a message is to label what we were doing in a given change so when we come back and look at it later, we can just look at the commit message and know what's inside. Some best practices are:
It's very important to have well labeled commits so that if someone makes a commit and then your friend is thinking about incorporating that commit into her project, she can look at it, see what that commit is, and decide to merge it into her project so that it becomes part for her project as well.
Now that we've made our first commits, let's take a look at where those commit messages with git log
. This will show the log of commits that have taken place so far:
# viewing the commit log
git log
Each commit has:
The Author name let's known who made a commit, that's why that was the very first configuration.
# watching one commit
git log -n 1
# watching two commits
git log -n 2
# watching five commits
git log -n 5
# abreviated logs
git log --oneline
# everything since a date
git log --since=2016-01-01
# everything until a date
git log --until=2016-01-02
# everything since-and-until a date
# (to see commits between a range)
git log --since=2016-01-01 --until=2016-01-02
# from an author
git log --author="gaston"
# from another author
git log --author="jessica"
# regular expressions
git log --grep="init"
git log --grep="R script"
git log --grep="latex"


Kona.Collectable implements a generic class representing an object that can be picked up by an entity (powerups, weapons, etc)
A callback is automatically activated when a designated collector entity intersects with the collectable.
See Entity#collects for more info on collectors.


Development is my career and learning is my main hobby. Some interests come and go with the time and changes in life, but learning is something I will never stop doing.
If you want to know more about my professional career and availability you can connect with me in LinkedIn/Github/Twitter.
If you are a developer and want to read/discuss with a fellow dev, you can read my blog and follow me on twitter. About the blog, I write mainly in Spanish and I try to update often to improve my writing skills and to ground some knowledge because when you have to explain something you learn more about it and you understand it better.
What I cannot create I do not understand.
Richard Feynman in Feb 1988
Right now I am learning about Functional Programming and Unit testing in JavaScript, and how to apply these principles to React-Redux and also about Design Patterns in a broader sense while keeping an eye in Angular2. I also try to learn some French day by day thanks to Duolingo.


| dbFetch,MySQLResult,numeric-method {RMySQL} | R Documentation |
To retrieve results a chunk at a time, use dbSendQuery
,
dbFetch
, then dbClearResult
. Alternatively, if you want all the
results (and they'll fit in memory) use dbGetQuery
which sends,
fetches and clears for you.
## S4 method for signature 'MySQLResult,numeric' dbFetch(res, n = -1, ...) ## S4 method for signature 'MySQLResult,numeric' fetch(res, n = -1, ...) ## S4 method for signature 'MySQLResult,missing' dbFetch(res, n = -1, ...) ## S4 method for signature 'MySQLResult,missing' fetch(res, n = -1, ...) ## S4 method for signature 'MySQLConnection,character' dbSendQuery(conn, statement) ## S4 method for signature 'MySQLResult' dbClearResult(res, ...) ## S4 method for signature 'MySQLResult' dbGetInfo(dbObj, what = "", ...) ## S4 method for signature 'MySQLResult' dbGetStatement(res, ...) ## S4 method for signature 'MySQLResult,missing' dbListFields(conn, name, ...)
res, dbObj |
A |
n |
maximum number of records to retrieve per fetch. Use |
... |
Unused. Needed for compatibility with generic. |
conn |
an |
statement |
a character vector of length one specifying the SQL statement that should be executed. Only a single SQL statment should be provided. |
what |
optional |
name |
Table name. |
fetch()
will be deprecated in the near future; please use
dbFetch()
instead.
if (mysqlHasDefault()) { con <- dbConnect(RMySQL::MySQL(), dbname = "test") dbWriteTable(con, "arrests", datasets::USArrests, overwrite = TRUE) # Run query to get results as dataframe dbGetQuery(con, "SELECT * FROM arrests limit 3") # Send query to pull requests in batches res <- dbSendQuery(con, "SELECT * FROM arrests") data <- dbFetch(res, n = 2) data dbHasCompleted(res) dbListResults(con) dbClearResult(res) dbRemoveTable(con, "arrests") dbDisconnect(con) }


Symbol Index for "Reason For Abandoning"
Symbol Index for diagram
"Reason For Abandoning"
Abandoned Activity (Class)
Abandoned Intention (Class)
Activity Qualifier Type (Class)
Activity Type (Class)
Contact Method (Class)
DC/Describing (Generalization Node)
Descriptive Category (Class)
Incident Type (Class)
Intention Type (Class)
Level (Class)
Property Qualifier Type (Class)
reason for (Association)
reason for (Association)
Reason For Abandoning (Class)
Reason For Rejection (Class)
Reason Not Required (Class)
Resource Type (Class)
State Type (Class)
Subject Characteristic Type (Class)


Beta This is a test version of the layout of this page. Take the survey to help us improve it
Guidance
Information about the Student Bursary Support Service
The Student Bursary Support Service ( SBSS ) is an online service used to administer student support for the Care to Learn scheme and the 16 to 19 Bursary Fund for vulnerable students.
The online system is for use by education institutions, childcare providers and for students. The system is easy to use, accessible and responsive.
The Student Bursary Support Service is used to administer:
For the Care to Learn student support scheme, through this portal:
For the 16 to 19 Bursary Fund for vulnerable students, through this portal:
The service portal is used to support young parents’ / students’ applications for summer retainers and new applications for Care to Learn.
In the majority of cases, student eligibility – not whole application eligibility - is established as the application is input. When the service is unable to establish student eligibility the SBSS will notify the student if additional information is required or if the student is ineligible.
Childcare providers and education institutions will be contacted by the SBSS and asked to provide information via the portal about childcare costs, study programme hours, travel costs etc to complete each student’s application. To ensure initial payments are not delayed, childcare providers and education institutions should provide this information via the portal as soon as possible.
As part of this process, education institutions are required to confirm that the existence of the child(ren) to be cared for has been verified. To do this, the student is required to provide either a copy of the child’s birth certificate or a letter confirming receipt of child benefit for that child.
The service can only fully process an application when the student details, child details, education institution details and childcare provider details are fully completed by each party. No payments can be made until the application is fully complete and verified.
Students, childcare providers and education institutions can update applications on the portal for changes to, for example, personal details, study programme, travel arrangements, childcare hours or costs and childcare provider.
Care to Learn applications started and saved but not submitted will expire after 90 days. Students requiring Care to Learn support will have to re-apply if the application expires. Notifications will be sent to students whose applications are about to expire.
The service notifies students, childcare providers and education institutions when letters confirming eligibility, payment plans and any other correspondence are available on the portal.
Education institutions and childcare providers with young parents claiming Care to Learn can maintain their banking details (administrator users only). The portal can be used to upload bank proofs when the system is unable to automatically validate bank account details.
Each organisation will be assigned a user account with administration level access. This user can set-up other user accounts for the organisation if required.
A dashboard is available to users which highlights actions that require attention or are overdue. Organisations receive email notifications when actions are required or correspondence is available on the portal, ie new Care to Learn applications, attendance monitoring returns to be completed, etc.
Monthly attendance monitoring returns for Care to Learn must be completed via the SBSS portal by education institutions (to confirm student attendance) and childcare providers (to confirm child attendance).
Notifications are emailed to education institutions and childcare providers when attendance monitoring requires their attention. Reminders are emailed when returns are late.
Payments to education institutions and childcare providers cannot be released until both attendance monitoring forms have been completed.
Education institutions must submit claims via the portal on behalf of their 16 to 19 Bursary Fund vulnerable students.
Claims are validated as the details are entered.
There are no restrictions on the number of claims that an education institution may submit. A claim may contain multiple students. Claims may be partially recorded and saved for submission at a later date. Only validated and submitted claims will be processed by the service.
The portal requires a username and password to gain access, this ensures that the data is held securely and only accessed by an authorised user. Users may access the portal using Facebook and Google account credentials. Guidance is available on the portal on how to set up secure passwords.
The service has been accredited to meet strict government security standards.
Payment plans and remittance advices will be uploaded to SBSS portal accounts. Users are able to download these documents, typically payment plans for each student and remittance advices to identify monies paid for each student to assist with the reconciliation of EFA payments.
Appeals can be submitted directly to the SBSS and must be sent via the online portal.
Complaints can be made directly to the SBSS and must be sent via the online portal.
You can find information on scheme eligibility and how to apply at:
For Care to Learn
For 16 to 19 Bursary Fund for vulnerable students
Many institutions are already registered to access the portal. If your organisation is already registered, the user with administrator level rights can set-up an account for you. If you do not know who holds the SBSS administrator account for your organisation, contact the SBSS using the details below.
If your organisation is not registered, contact the SBSS using the details below. The SBSS will advise you on what information is required and will set up an administrator account for your organisation.
For students applying for Care to Learn support, a portal account is set up as part of the application process. Guidance is available on the portal on how to set up secure passwords.
Demonstration videos have been prepared to support users in the use of the Student Bursary Support Service portal. These videos explain, demonstrate and provide guidance on how to use the portal features. The videos have been grouped into three sections to support the different users of the service, namely students; childcare providers and education institutions.
The SBSS online portal has guidance notes built in throughout and a webchat facility is available on all pages of the portal if further help is needed.
Further information is available from the Student Bursary Support Service Team between 9.00am and 5.00pm Monday to Friday as follows:
Or via the webchat facility on any of the SBSS web pages or any of the Care to Learn application pages .
Published: 25 March 2015
Updated: 3 November 2015
From: Education Funding Agency


interface SignedTransaction : TransactionWithSignatures
SignedTransaction wraps a serialized WireTransaction. It contains one or more signatures, each one for a public key (including composite keys) that is mentioned inside a transaction command. SignedTransaction is the top level transaction type and the type most frequently passed around the network and stored. The identity of a transaction is the hash of Merkle root of a WireTransaction, therefore if you are storing data keyed by WT hash be aware that multiple different STs may map to the same key (and they could be different in important ways, like validity!). The signatures on a SignedTransaction might be invalid or missing: the type does not imply validity. A transaction ID should be the hash of the WireTransaction Merkle tree root. Thus adding or removing a signature does not change it.
coreTransaction |
Lazily calculated access to the deserialised/hashed transaction data. abstract val coreTransaction: CoreTransaction |
inputs |
Helper to access the inputs of the contained transaction. abstract val inputs: List<StateRef> |
networkParametersHash |
Helper to access the network parameters hash for the contained transaction. abstract val networkParametersHash: SecureHash? |
notary |
Helper to access the notary of the contained transaction. abstract val notary: Party? |
references |
Helper to access the unspendable inputs of the contained transaction. abstract val references: List<StateRef> |
tx |
Returns the contained WireTransaction, or throws if this is a notary change or contract upgrade transaction. abstract val tx: WireTransaction |
txBits |
serialized transaction bits abstract val txBits: SerializedBytes<CoreTransaction> |
buildFilteredTransaction |
Helper function to directly build a FilteredTransaction using provided filtering functions, without first accessing the WireTransaction. abstract fun buildFilteredTransaction(filtering: Predicate<Any>): FilteredTransaction |
plus |
Alias for withAdditionalSignature to let you use Kotlin operator overloading. open operator fun plus(sig: DigitalSignatureAndMeta): SignedTransaction
Alias for withAdditionalSignatures to let you use Kotlin operator overloading. open operator fun plus(sigList: Collection<DigitalSignatureAndMeta>): SignedTransaction |
withAdditionalSignature |
Returns the same transaction but with an additional (unchecked) signature. abstract fun withAdditionalSignature(sig: DigitalSignatureAndMeta): SignedTransaction |
withAdditionalSignatures |
Returns the same transaction but with an additional (unchecked) signatures. abstract fun withAdditionalSignatures(sigList: Iterable<DigitalSignatureAndMeta>): SignedTransaction |


In this example, the pseudo-class looks for the last child in the ul, which is, of course, the last navigation list item, and it removes the border-bottom styling.
ul { border: 1px solid #000; list-style-type: none; }
ul li { border-bottom: 1px solid #000; }
ul li:last-child { border-bottom: none; }
In this example, the pseudo-class looks for the first child in the ul, which is, of course, the first navigation list item, and it sets the background color to red.
ul { border: 1px solid #000; list-style-type: none; }
ul li { border-bottom: 1px solid #000; }
ul li:first-child { background-color: red; }
Other pseudo classes are:


New Zealand vs England, 1st Test: Joe Root rues England's missed opportunity
by OmnisportJoe Root lamented what he felt was a missed opportunity after England were crushed by New Zealand in the first Test on Monday.
England were bowled out for 197 in their second innings at Bay Oval in Mount Maunganui, falling to defeat by an innings and 65 runs.
Root elected to bat in the first Test, but England could only post 353 – a total the Black Caps raced past in making 615-9 declared to set up their victory.
The England skipper said it was a chance missed by his team as none of their batsmen made a century while BJ Watling (205) and Mitchell Santner (126) starred for New Zealand.
"We missed an opportunity when you look at the two first innings in comparison. We needed to get a score over 450 and to use that scoreboard pressure as an extra fielder," Root said.
"We did a lot of good stuff, we just need to do it for longer. It's different to the style of cricket we've had to play in our home conditions. There is stuff to address.
"It ended up being a good wicket over the course of five days. It was the right decision at the toss but not kicking on in that first innings has cost us the game.
"We can't panic and think it's the end of the world. We are working hard behind the scenes and if we come back strong, we'll hopefully level it up."
Neil Wagner (5-44) ripped through England on the final day, with only Joe Denly (35 off 142 balls) able to survive at least 100 deliveries.
Root rued England's batting and admitted there were several poor dismissals, including his own for 11.
"There were a few soft dismissals," he told Sky Sports.
"It can be quite difficult.  I gave that ball [from Colin de Grandhomme] far too much respect, it should have gone for four or six over point."
The second and final Test starts in Hamilton on Friday.


Quick Start
Up and running in under a minute
Basic Template
With Kube, you can set up your web framework and be on your way in under a minute. Just add this code to your web page for the basic template to take effect immediately.
<!DOCTYPE html>

<title>Basic Template</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">

<link rel="stylesheet" href="assets/css/kube.css">

Hello, world!

Supported Browsers
Kube supports the latest, stable releases of all major browsers:
- Latest Chrome
- Latest Firefox
- Latest Safari
- Latest Opera
- Microsoft Edge
- Internet Explorer 11
Development with Kube
Kube has been designed to help you with web development, that's why it's so easy to use Kube when building websites. To move forward quickly and efficiently, just link kube.scss
from Kube package: this file contains variables, mixins and everything you need to simplify daily routine tasks.
For example, import kube.scss into your master.scss styles file, which you will later compile into master.css
:
// master.scss
@import "dist/scss/kube.scss";
Now all Kube's variables and mixins are readily available in master.scss
,
and you can use them whenever needed. For instance, here's how one of examples:
// master.scss
@import "dist/scss/kube.scss";
#sidebar {
@include flex-item-width(200px);
}
Also, you could use settings from variables.scss
:
// master.scss
@import "dist/scss/kube.scss";
#my-layout {
padding: $base-line;
}


+class CBlockIndex;
+
+// This class provides an accumulator for both the chainwork and the chainPOS value
+// CChainPower's can be compared, and the comparison ensures that work and proof of stake power
+// are both used equally to determine which chain has the most work. This makes an attack
+// that involves mining in secret completely ineffective, even before dPOW, unless a large part
+// of the staking supply is also controlled. It also enables a faster deterministic convergence,
+// aided by both POS and POW.
+class CChainPower


This subroutine is an interface to the computational kernel for
dense matrix sum:
call psb_geaxpby(alpha, x, beta, y, desc_a, info)
Table 1:
Data types
| , , , |
Subroutine |
| Short Precision Real |
psb_geaxpby |
| Long Precision Real |
psb_geaxpby |
| Short Precision Complex |
psb_geaxpby |
| Long Precision Complex |
psb_geaxpby |
|
- Type:
- Synchronous.
- On Entry
-
- alpha
- the scalar .
Scope: global
Type: required
Intent: in.
Specified as: a number of the data
type indicated in Table 1.
- x
- the local portion of global dense matrix
.
Scope: local
Type: required
Intent: in.
Specified as: a rank one or two array or an object of type vdatapsb_T_vect_type
containing numbers of type
specified in Table 1. The rank of must be the same of .
- beta
- the scalar .
Scope: global
Type: required
Intent: in.
Specified as: a number of the data type indicated in Table 1.
- y
- the local portion of the global dense matrix
.
Scope: local
Type: required
Intent: inout.
Specified as: a rank one or two array or an object of type vdatapsb_T_vect_type containing numbers of the type
indicated in Table 1. The rank of must be the same of .
- desc_a
- contains data structures for communications.
Scope: local
Type: required
Intent: in.
Specified as: an object of type descdatapsb_desc_type.
- On Return
-
- y
- the local portion of result submatrix .
Scope: local
Type: required
Intent: inout.
Specified as: a rank one or two array or an object of type vdatapsb_T_vect_type containing numbers of the type
indicated in Table 1.
- info
- Error code.
Scope: local
Type: required
Intent: out.
An integer value; 0 means no error has been detected.


Prompt for Monday, March 14
Check out the
New York Times election results view
(paywall)
We will replicate this plot in R, focusing on how the same processes are being implemented in different ways. Open the two R files in RStudio.
Have R and RStudio installed. The book
R for Data Science
will be useful (free online version through Cornell library).
Data from
FBI uniform crime reporting
and the
US Bureau of Labor Statistics
.
Simple Linear Regression
and
Least Squares
.
The negative result argument pattern
Selection specificity
Complicated data
Is the economy improving?
An example of the data join pattern in d3


D2Q9 Lattice Gas Boltzmann simulation exhibiting vortex shedding. Timestepping is done in a GLSL fragment shader, in which all cells are updated in parallel. The flow field, 256 by 256 grid cells in dimension, is coloured by vorticity.
Interact with the simulation by holding down a mouse button, moving the cursor, and scrolling.


// Add the new slick-theme.css if you want the default styling
Vestibulum nec erat eu nulla rhoncus fringilla ut non neque. Vivamus nibh urna, ornare id gravida ut, mollis a magna. Aliquam porttitor condimentum nisi, eu viverra ipsum porta ut. Nam hendrerit bibendum turpis, sed molestie mi fermentum id. Aenean volutpat velit sem. Sed consequat ante in rutrum convallis. Nunc facilisis leo at faucibus adipiscing.
Brands who want to grow need to be talked about, and it isn't enough to just be social. You need trusted influencers on your side so you know that you're being heard. InstaBRAND's platform offers a vast network of influencers with the kind of reach that can help your brand connect with millions of people in a meaningful way. We deliver substantial increases in engagement and awareness, along with rich analytics to track your social growth.
Brands who want to grow need to be talked about, and it isn't enough to just be social. You need trusted influencers on your side so you know that you're being heard. InstaBRAND's platform offers a vast network of influencers with the kind of reach that can help your brand connect with millions of people in a meaningful way. We deliver substantial increases in engagement and awareness, along with rich analytics to track your social growth.
Brands who want to grow need to be talked about, and it isn't enough to just be social. You need trusted influencers on your side so you know that you're being heard. InstaBRAND's platform offers a vast network of influencers with the kind of reach that can help your brand connect with millions of people in a meaningful way. We deliver substantial increases in engagement and awareness, along with rich analytics to track your social growth.
Vestibulum nec erat eu nulla rhoncus fringilla ut non neque. Vivamus nibh urna, ornare id gravida ut, mollis a magna. Aliquam porttitor condimentum nisi, eu viverra ipsum porta ut. Nam hendrerit bibendum turpis, sed molestie mi fermentum id. Aenean volutpat velit sem. Sed consequat ante in rutrum convallis. Nunc facilisis leo at faucibus adipiscing.
Vestibulum nec erat eu nulla rhoncus fringilla ut non neque. Vivamus nibh urna, ornare id gravida ut, mollis a magna. Aliquam porttitor condimentum nisi, eu viverra ipsum porta ut. Nam hendrerit bibendum turpis, sed molestie mi fermentum id. Aenean volutpat velit sem. Sed consequat ante in rutrum convallis. Nunc facilisis leo at faucibus adipiscing.


--- layout: post title: Pen Sketch - God of War date: '2012-05-26T07:19:00.002-07:00' author: Narayan Prasad tags: - Sketch - Pen - God of War modified_time: '2012-05-26T07:19:43.876-07:00' thumbnail: http://1.bp.blogspot.com/-d1Pa1fScARE/T8DmPd3DsSI/AAAAAAAAAI4/Y1xngQjCNyM/s72-c/Top-4.jpgtydy.jpg blogger_id: tag:blogger.com,1999:blog-506707183841377390.post-5729447212634281091 blogger_orig_url: https://narayantalks.blogspot.com/2012/05/pen-sketch-god-of-war.html ---


Barbell Bro
v1.0.0
[Graphics go here]
5
5
Plates Per Side
Total includes bar weight of
Warmup Sets
100%
75%
50%


VICINITY
Gateway API Services
Vicinity core componet
The Gateway API Services provides interoperability among the components in VICINITY


certtool
Section: User Commands (1)Updated: May 23rd 2005
Index Return to Main Contents
NAME
certtool - Manipulate certificates and keys.SYNOPSIS
certtool [options]DESCRIPTION
Generate X.509 certificates, certificate requests, and private keys.OPTIONS
Program control options
- -d, --debug LEVEL
- Specify the debug level. Default is 1.
- -h, --help
- Shows this help text
- -v, --version
-
Shows the program's version
Getting information on X.509 certificates
- -i, --certificate-info
- Print information on a certificate.
- -k, --key-info
- Print information on a private key.
- -l, --crl-info
- Print information on a CRL.
- --p12-info
-
Print information on a PKCS #12 structure.
Getting information on Openpgp certificates
- --pgp--certificate-info
- Print information on an OpenPGP certificate.
- --pgp--key-info
- Print information on an OpenPGP private key.
- --pgp--ring-info
-
Print information on a keyring.
Generating/verifying X.509 certificates/keys
- -c, --generate-certificate
- Generate a signed certificate.
- -e, --verify-chain
- Verify a PEM encoded certificate chain. The last certificate in the chain must be a self signed one.
- --generate-dh-params
- Generate PKCS #3 encoded Diffie-Hellman parameters.
- --load-ca-certificate FILE
- Certificate authority's certificate file to use.
- --load-ca-privkey FILE
- Certificate authority's private key file to use.
- --load-certificate FILE
- Certificate file to use.
- --load-privkey FILE
- Private key file to use.
- --load-request FILE
- Certificate request file to use.
- -p, --generate-privkey
- Generate a private key.
- -q, --generate-request
- Generate a PKCS #10 certificate request.
- -s, --generate-self-signed
- Generate a self-signed certificate.
- -u, --update-certificate
-
Update a signed certificate.
Controlling output
- -8, --pkcs8
- Use PKCS #8 format for private keys.
- --dsa
- Generate a DSA key.
- --bits BITS
- Specify the number of bits for key generation.
- --export-ciphers
- Use weak encryption algorithms.
- --inraw
- Use RAW/DER format for input certificates and private keys.
- --infile FILE
- Input file.
- --outraw
- Use RAW/DER format for output certificates and private keys.
- --outfile FILE
- Output file.
- --password PASSWORD
- Password to use.
- --to-p12
- Generate a PKCS #12 structure.
- --template
- Use a template file to read input. See the doc/certtool.cfg in the distribution, for an example.
- --fix-key
- Some previous versions of certtool generated wrongly the optional parameters in a private key. This may affect programs that used them. To fix an old private key use --key-info in combination with this parameter.
- --v1
-
When generating a certificate use the X.509 version 1 format.
This does not add any extensions (such as indication for a CA)
but some programs do need these.
EXAMPLES
To create a private key, run:
-
$ certtool --generate-privkey --outfile key.pem
To create a certificate request (needed when the certificate is issued by another party), run:
-
$ certtool --generate-request --load-privkey key.pem \ --outfile request.pem
To generate a certificate using the previous request, use the command:
-
$ certtool --generate-certificate --load-request request.pem \ --outfile cert.pem --load-ca-certificate ca-cert.pem \ --load-ca-privkey ca-key.pem
To generate a certificate using the private key only, use the command:
-
$ certtool --generate-certificate --load-privkey key.pem \ --outfile cert.pem --load-ca-certificate ca-cert.pem \ --load-ca-privkey ca-key.pem
To view the certificate information, use:
-
$ certtool --certificate-info --infile cert.pem
To generate a PKCS #12 structure using the previous key and certificate, use the command:
-
$ certtool --load-certificate cert.pem --load-privkey key.pem \ --to-p12 --outder --outfile key.p12
AUTHOR
Nikos Mavroyanopoulos<EMAIL_ADDRESS>and others; see /usr/share/doc/gnutls-bin/AUTHORS for a complete list.
This manual page was written by Ivo Timmermans<EMAIL_ADDRESS>for the Debian GNU/Linux system (but may be used by others).
Index
This document was created by man2html, using the manual pages.
Time: 05:29:02 GMT, December 24, 2015


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