Chapter 4 Tidy Data via tidyr
In Subsection 2.2.1 we introduced the concept of a data frame: a rectangular spreadsheet-like representation of data in R where the rows correspond to observations and the columns correspond to variables describing each observation. In Section 2.4, we started explorations of our first data frame flights
included in the nycflights13
package. In Chapter 3 we made graphics using data contained in flights
and other data frames.
In this chapter, we extend some of these ideas by discussing a type of data formatting called “tidy” data. You will see that having data stored in “tidy” format is about more than what the colloquial definition of the term “tidy” might suggest of having your data “neatly organized” in a spreadsheet. Instead, we define the term “tidy” in a more rigorous fashion, outlining a set of rules by which data can be stored and the implications of these rules on analyses.
Although knowledge of this type of data formatting was not necessary in our treatment of data visualization in Chapter 3 since all the data was already in tidy format, we’ll see going forward that having tidy data will allow you to more easily create data visualizations in a wide range of settings. Furthermore, it will also help you with data wrangling in Chapter 5 and in all subsequent chapters in this book when we cover regression and discuss statistical inference.
Needed packages
Let’s load all the packages needed for this chapter (this assumes you’ve already installed them). If needed, read Section 2.3 for information on how to install and load R packages.
library(dplyr)
library(ggplot2)
library(nycflights13)
library(tidyr)
library(readr)
DataCamp
Our approach to introducing the concept of “tidy” data is aligned with the approach taken in Alison Hill’s DataCamp course “Working with Data in the Tidyverse,” a course where students learn to work with data using tools from the tidyverse in R. If you’re interested in complementing your learning below in an interactive online environment, click on the image below to access the course. The relevant chapter is Chapter 3 “Tidy your data.”
4.1 What is tidy data?
You have surely heard the word “tidy” in your life:
- “Tidy up your room!”
- “Please write your homework in a tidy way so that it is easier to grade and to provide feedback.”
- Marie Kondo’s best-selling book The Life-Changing Magic of Tidying Up: The Japanese Art of Decluttering and Organizing
- “I am not by any stretch of the imagination a tidy person, and the piles of unread books on the coffee table and by my bed have a plaintive, pleading quality to me - ‘Read me, please!’” - Linda Grant
What does it mean for your data to be “tidy”? Beyond just being organized, in the context of this book having “tidy” data means that your data follows a standardized format. This makes it easier for you and others to visualize your data, to wrangle/transform your data, and to model your data. We will follow Hadley Wickham’s definition of tidy data here (Wickham 2014):
A dataset is a collection of values, usually either numbers (if quantitative) or strings AKA text data (if qualitative). Values are organised in two ways. Every value belongs to a variable and an observation. A variable contains all values that measure the same underlying attribute (like height, temperature, duration) across units. An observation contains all values measured on the same unit (like a person, or a day, or a city) across attributes.
Tidy data is a standard way of mapping the meaning of a dataset to its structure. A dataset is messy or tidy depending on how rows, columns and tables are matched up with observations, variables and types. In tidy data:
- Each variable forms a column.
- Each observation forms a row.
- Each type of observational unit forms a table.
For example, say the following table consists of stock prices:
| Date | Boeing Stock Price | Amazon Stock Price | Google Stock Price |
|---|---|---|---|
| 2009-01-01 | $173.55 | $174.90 | $174.34 |
| 2009-01-02 | $172.61 | $171.42 | $170.04 |
Although the data are neatly organized in a spreadsheet-type format, they are not in tidy format since there are three variables corresponding to three unique pieces of information (Date, Stock Name, and Stock Price), but there are not three columns. In tidy data format each variable should be its own column, as shown below. Notice that both tables present the same information, but in different formats.
| Date | Stock Name | Stock Price |
|---|---|---|
| 2009-01-01 | Boeing | $173.55 |
| 2009-01-02 | Boeing | $172.61 |
| 2009-01-01 | Amazon | $174.90 |
| 2009-01-02 | Amazon | $171.42 |
| 2009-01-01 | $174.34 | |
| 2009-01-02 | $170.04 |
However, consider the following table
| Date | Boeing Price | Weather |
|---|---|---|
| 2009-01-01 | $173.55 | Sunny |
| 2009-01-02 | $172.61 | Overcast |
In this case, even though the variable “Boeing Price” occurs again, the data is tidy since there are three variables corresponding to three unique pieces of information (Date, Boeing stock price, and the weather that particular day).
The non-tidy data format in the original table is also known as “wide” format whereas the tidy data format in the second table is also known as “long/narrow” data format.
In this book, we will work mostly with datasets that are already in tidy format even though a lot of the world’s data isn’t always in this nice format that the tidyverse
gets its name from. Data that is in wide format can be converted to “tidy” format by using the gather()
function in the tidyr
package (Wickham and Henry 2018) in the tidyverse
; we’ll show an example of this in Section 4.4. For other examples of converting a dataset into “tidy” format, check out the different functions available for data tidying and a case study using data from the World Health Organization in R for Data Science (Grolemund and Wickham 2016).
Learning check
(LC4.1) Consider the following data frame of average number of servings of beer, spirits, and wine consumption in three countries as reported in the FiveThirtyEight article Dear Mona Followup: Where Do People Drink The Most Beer, Wine And Spirits?
# A tibble: 3 x 4
country beer_servings spirit_servings wine_servings
<chr> <int> <int> <int>
1 Canada 240 122 100
2 South Korea 140 16 9
3 USA 249 158 84
This data frame is not in tidy format. What would it look like if it were?
4.2 Back to nycflights13
Recall the nycflights13
package with data about all domestic flights departing from New York City in 2013 that we introduced in Section 2.4 and used extensively in Chapter 3 to create visualizations. In particular, let’s revisit the flights
data frame by running View(flights)
in your console. We see that flights
has a rectangular shape with each row corresponding to a different flight and each column corresponding to a characteristic of that flight. This matches exactly with how Hadley Wickham defined tidy data:
- Each variable forms a column.
- Each observation forms a row.
But what about the third property?
- Each type of observational unit forms a table.
4.2.1 Observational units
We identified earlier that the observational unit in the flights
dataset is an individual flight. And we have shown that this dataset consists of 336,776 flights with 19 variables. In other words, rows of this dataset don’t refer to a measurement on an airline or on an airport; they refer to characteristics/measurements on a given flight from New York City in 2013.
Also included in the nycflights13
package are datasets with different observational units (Wickham 2018):
airlines
: translation between two letter IATA carrier codes and names (16 in total)planes
: construction information about each of 3,322 planes usedweather
: hourly meteorological data (about 8705 observations) for each of the three NYC airportsairports
: airport names and locations
The organization of this data follows the third “tidy” data property: observations corresponding to the same observational unit should be saved in the same table/data frame.
Another example involves a spreadsheet of all students enrolled in a university along with information about them, such as name, gender, and date of birth. Each row represents an individual student, which is the observational unit in question.
4.2.2 Identification vs measurement variables
There is a subtle difference between the kinds of variables that you will encounter in data frames: measurement variables and identification variables. The airports
data frame you worked with above contains both these types of variables. Recall that in airports
the observational unit is an airport, and thus each row corresponds to one particular airport. Let’s pull them apart using the glimpse
function:
glimpse(airports)
Observations: 1,458
Variables: 8
$ faa <chr> "04G", "06A", "06C", "06N", "09J", "0A9", "0G6", "0G7", "0P2"...
$ name <chr> "Lansdowne Airport", "Moton Field Municipal Airport", "Schaum...
$ lat <dbl> 41.13047, 32.46057, 41.98934, 41.43191, 31.07447, 36.37122, 4...
$ lon <dbl> -80.61958, -85.68003, -88.10124, -74.39156, -81.42778, -82.17...
$ alt <int> 1044, 264, 801, 523, 11, 1593, 730, 492, 1000, 108, 409, 875,...
$ tz <dbl> -5, -6, -6, -5, -5, -5, -5, -5, -5, -8, -5, -6, -5, -5, -5, -...
$ dst <chr> "A", "A", "A", "A", "A", "A", "A", "A", "U", "A", "A", "U", "...
$ tzone <chr> "America/New_York", "America/Chicago", "America/Chicago", "Am...
The variables faa
and name
are what we will call identification variables: variables that uniquely identify each observational unit. They are mainly used to provide a unique name to each observational unit, thereby allowing us to uniquely identify them. faa
gives the unique code provided by the FAA for that airport, while the name
variable gives the longer more natural name of the airport. The remaining variables (lat
, lon
, alt
, tz
, dst
, tzone
) are often called measurement or characteristic variables: variables that describe properties of each observational unit, in other words each observation in each row. For example, lat
and long
describe the latitude and longitude of each airport.
So in our above example of a spreadsheet of all students enrolled at a university, email address could be treated as an identical variable since it uniquely identifies each observational unit i.e. each student, while date of birth could not since it is possible (and highly probable) that two students share the same birthday.
Furthermore, sometimes a single variable might not be enough to uniquely identify each observational unit: combinations of variables might be needed (see Learning Check below). While it is not an absolute rule, for organizational purposes it is considered good practice to have your identification variables in the far left-most columns of your data frame.
Learning check
(LC4.2) What properties of the observational unit do each of lat
, lon
, alt
, tz
, dst
, and tzone
describe for the airports
data frame? Note that you may want to use ?airports
to get more information.
(LC4.3) Provide the names of variables in a data frame with at least three variables in which one of them is an identification variable and the other two are not. In other words, create your own tidy dataset that matches these conditions.
4.3 Importing spreadsheets into R
Up to this point, we’ve used data either stored inside of an R package or we’ve manually created the data such as the fruits
and fruits_counted
data in Subsection 3.8. Another common way to get data into R is by reading in data from a spreadsheet file either on your computer or online. Spreadsheet data is often saved in one of two formats:
- A Comma Separated Values
.csv
file. You can think of a CSV file as a bare-bones spreadsheet where:- Each line in the file corresponds to one row of data/one observation.
- Values for each line are separated with commas. In other words, the values of different variables are separated by commas.
- The first line is often, but not always, a header row indicating the names of the columns/variables.
- An Excel
.xlsx
file. This format is based on Microsoft’s proprietary Excel software. As opposed to a bare-bones.csv
files,.xlsx
Excel files contain a lot of metadata, or put more simply, data about the data. Examples include the use of bold and italic fonts, colored cells, different column widths, and formula macros etc.
Google Sheets allows you to download your data in both comma separated values .csv
and Excel .xlsx
formats: Go to the Google Sheets menu bar -> File -> Download as -> Select “Microsoft Excel” or “Comma-separated values.”
We’ll cover two methods for importing data in R: one using the R console and the other using RStudio’s graphical interface.
4.3.1 Method 1: From the console
First, let’s download a Comma Separated Values (CSV) file of ratings of the level of democracy in different countries spanning 1952 to 1992: https://moderndive.com/data/dem_score.csv. We use the read_csv()
function from the readr
package to read it off the web and then take a look.
library(readr)
dem_score <- read_csv("https://moderndive.com/data/dem_score.csv")
dem_score
# A tibble: 96 x 10
country `1952` `1957` `1962` `1967` `1972` `1977` `1982` `1987` `1992`
<chr> <int> <int> <int> <int> <int> <int> <int> <int> <int>
1 Albania -9 -9 -9 -9 -9 -9 -9 -9 5
2 Argentina -9 -1 -1 -9 -9 -9 -8 8 7
3 Armenia -9 -7 -7 -7 -7 -7 -7 -7 7
4 Australia 10 10 10 10 10 10 10 10 10
5 Austria 10 10 10 10 10 10 10 10 10
6 Azerbaijan -9 -7 -7 -7 -7 -7 -7 -7 1
7 Belarus -9 -7 -7 -7 -7 -7 -7 -7 7
8 Belgium 10 10 10 10 10 10 10 10 10
9 Bhutan -10 -10 -10 -10 -10 -10 -10 -10 -10
10 Bolivia -4 -3 -3 -4 -7 -7 8 9 9
# ... with 86 more rows
In this dem_score
data frame, the minimum value of -10 corresponds to a highly autocratic nation whereas a value of 10 corresponds to a highly democratic nation.
4.3.2 Method 2: Using RStudio’s interface
Let’s read in the same data saved in Excel format this time at https://moderndive.com/data/dem_score.xlsx, but using RStudio’s graphical interface instead of via the R console. First download the Excel file, then go to the Files pane of RStudio -> Navigate to the directory where your downloaded dem_score.xlsx
is saved -> Click on dem_score.xlsx
-> Click “Import Dataset…” -> Click “Import Dataset…” At this point you should see an image like in
After clicking on the “Import” button on the bottom right RStudio save this spreadsheet’s data in a data frame called dem_score
and display its contents in the spreadsheet viewer. Furthermore you’ll see the code that read in your data in the console; you can copy and paste this code to reload your data again later instead of repeating the above manual process.
4.4 Converting to “tidy” data format
In this Section, we’ll show you how to convert a dataset that isn’t in “tidy” format i.e. “wide” format, to a dataset that is in “tidy” format i.e. “long/narrow” format. Let’s use the dem_score
data frame we loaded from a spreadsheet in the previous Section but focus on only data corresponding to the country of Guatemala.
guat_dem <- dem_score %>%
filter(country == "Guatemala")
guat_dem
# A tibble: 1 x 10
country `1952` `1957` `1962` `1967` `1972` `1977` `1982` `1987` `1992`
<chr> <int> <int> <int> <int> <int> <int> <int> <int> <int>
1 Guatemala 2 -6 -5 3 1 -3 -7 3 3
Now let’s produce a plot showing how the democracy scores have changed over the 40 years from 1952 to 1992 for Guatemala. Let’s start by laying out how we would map our aesthetics to variables in the data frame:
- The
data
frame isguat_dem
by settingdata = guat_dem
What are the names of the variables to plot? We’d like to see how the democracy score has changed over the years. Now we are stuck in a predicament. We see that we have a variable named country
but its only value is "Guatemala"
. We have other variables denoted by different year values. Unfortunately, we’ve run into a dataset that is not in the appropriate format to apply the Grammar of Graphics and ggplot2
. Remember that ggplot2
is a package in the tidyverse
and, thus, needs data to be in a tidy format. We’d like to finish off our mapping of aesthetics to variables by doing something like
- The
aes
thetic mapping is set byaes(x = year, y = democracy_score)
but this is not possible with our wide-formatted data. We need to take the values of the current column names in guat_dem
(aside from country
) and convert them into a new variable that will act as a key called year
. Then, we’d like to take the numbers on the inside of the table and turn them into a column that will act as values called democracy_score
. Our resulting data frame will have three columns: country
, year
, and democracy_score
.
The gather()
function in the tidyr
package can complete this task for us. The first argument to gather()
, just as with ggplot2()
, is the data
argument where we specify which data frame we would like to tidy. The next two arguments to gather()
are key
and value
, which specify what we’d like to call the new columns that convert our wide data into long format. Lastly, we include a specification for variables we’d like to NOT include in this tidying process using a -
.
guat_tidy <- gather(data = guat_dem,
key = year,
value = democracy_score,
- country)
guat_tidy
# A tibble: 9 x 3
country year democracy_score
<chr> <chr> <int>
1 Guatemala 1952 2
2 Guatemala 1957 -6
3 Guatemala 1962 -5
4 Guatemala 1967 3
5 Guatemala 1972 1
6 Guatemala 1977 -3
7 Guatemala 1982 -7
8 Guatemala 1987 3
9 Guatemala 1992 3
We can now create the plot to show how the democracy score of Guatemala changed from 1952 to 1992 using a linegraph and ggplot2
.
ggplot(data = guat_tidy,
mapping = aes(x = year, y = democracy_score)) +
geom_line()
geom_path: Each group consists of only one observation. Do you need to adjust
the group aesthetic?
Observe that the year
variable in guat_tidy
is stored as a character vector since we had to circumvent the naming rules in R by adding backticks around the different year columns in guat_dem
. This is leading to ggplot
not knowing exactly how to plot a line using a categorical variable. We can fix this by using the parse_number()
function in the readr
package and then specify the horizontal axis label to be "year"
:
ggplot(data = guat_tidy,
mapping = aes(x = parse_number(year),
y = democracy_score)) +
geom_line() +
labs(x = "year")
We’ll see in Chapter 5 how we could use the mutate()
function to change year
to be a numeric variable instead after we have done our tidying. Notice now that the mappings of aesthetics to variables make sense in Figure 4.2:
- The
data
frame isguat_tidy
by settingdata = dem_score
- The
x
aes
thetic is mapped toyear
- The
y
aes
thetic is mapped todemocracy_score
- The
geom_
etry chosen isline
Learning check
(LC4.4) Convert the dem_score
data frame into a tidy data frame and assign the name of dem_score_tidy
to the resulting long-formatted data frame.
(LC4.5) Read in the life expectancy data stored at https://moderndive.com/data/le_mess.csv and convert it to a tidy data frame.
4.5 Optional: Normal forms of data
The datasets included in the nycflights13
package are in a form that minimizes redundancy of data. We will see that there are ways to merge (or join) the different tables together easily. We are capable of doing so because each of the tables have keys in common to relate one to another. This is an important property of normal forms of data. The process of decomposing data frames into less redundant tables without losing information is called normalization. More information is available on Wikipedia.
We saw an example of this above with the airlines
dataset. While the flights
data frame could also include a column with the names of the airlines instead of the carrier code, this would be repetitive since there is a unique mapping of the carrier code to the name of the airline/carrier.
Below an example is given showing how to join the airlines
data frame together with the flights
data frame by linking together the two datasets via a common key of "carrier"
. Note that this “joined” data frame is assigned to a new data frame called joined_flights
. The key variable that we frequently join by is one of the identification variables mentioned above.
library(dplyr)
joined_flights <- inner_join(x = flights,
y = airlines,
by = "carrier")
View(joined_flights)
If we View
this dataset, we see a new variable has been created called name
. (We will see in Subsection 5.9.2 ways to change name
to a more descriptive variable name.) More discussion about joining data frames together will be given in Chapter 5. We will see there that the names of the columns to be linked need not match as they did here with "carrier"
.
Learning check
(LC4.6) What are common characteristics of “tidy” datasets?
(LC4.7) What makes “tidy” datasets useful for organizing data?
(LC4.8) What are some advantages of data in normal forms? What are some disadvantages?
4.6 Conclusion
4.6.1 Review questions
Review questions have been designed using the fivethirtyeight
R package (Kim, Ismay, and Chunn 2018) with links to the corresponding FiveThirtyEight.com articles in our free DataCamp course Effective Data Storytelling using the tidyverse
. The material in this chapter is covered in the Tidy Data chapter of the DataCamp course available here.
4.6.2 What’s to come?
In Chapter 5, we’ll further explore data in tidy format by grouping our data, creating summaries based on those groupings, filtering our data to match conditions, and performing other wranglings with our data including defining new columns/variables. These data wrangling procedures will go hand-in-hand with the data visualizations you’ve produced in Chapter 3.
4.6.3 Script of R code
An R script file of all R code used in this chapter is available here.
References
Wickham, Hadley. 2014. “Tidy Data.” Journal of Statistical Software Volume 59 (Issue 10). https://www.jstatsoft.org/index.php/jss/article/view/v059i10/v59i10.pdf.
Wickham, Hadley, and Lionel Henry. 2018. Tidyr: Easily Tidy Data with ’Spread()’ and ’Gather()’ Functions. https://CRAN.R-project.org/package=tidyr.
Grolemund, Garrett, and Hadley Wickham. 2016. R for Data Science. http://r4ds.had.co.nz/.
Wickham, Hadley. 2018. Nycflights13: Flights That Departed Nyc in 2013. https://CRAN.R-project.org/package=nycflights13.
Kim, Albert Y., Chester Ismay, and Jennifer Chunn. 2018. Fivethirtyeight: Data and Code Behind the Stories and Interactives at ’Fivethirtyeight’. https://github.com/rudeboybert/fivethirtyeight.


Networking
In order to access the Vagrant environment created, Vagrant exposes some high-level networking options for things such as forwarded ports, connecting to a public network, or creating a private network.
The high-level networking options are meant to define an abstraction that works across multiple providers. This means that you can take your Vagrantfile you used to spin up a VirtualBox machine and you can reasonably expect that Vagrantfile to behave the same with something like VMware.
You should first read the basic usage page and then continue by reading the documentation for a specific networking primitive by following the navigation to the left.
Advanced Configuration
In some cases, these options are too high-level, and you may want to more finely tune and configure the network interfaces of the underlying machine. Most providers expose provider-specific configuration to do this, so please read the documentation for your specific provider to see what options are available.
For beginners: It is strongly recommended you use only the high-level networking options until you are comfortable with the Vagrant workflow and have things working at a basic level. Provider-specific network configuration can very quickly lock you out of your guest machine if improperly done.


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Assertively scale equity invested models with scalable systems. Appropriately utilize vertical products vis-a-vis interoperable benefits. Progressively formulate reliable e-business with virtual web services. Distinctively exploit frictionless web-readiness with fully tested niches. Distinctively redefine innovative collaboration and idea-sharing without high standards in action items.
Assertively scale equity invested models with scalable systems. Appropriately utilize vertical products vis-a-vis interoperable benefits. Progressively formulate reliable e-business with virtual web services. Distinctively exploit frictionless web-readiness with fully tested niches. Distinctively redefine innovative collaboration and idea-sharing without high standards in action items.
Assertively scale equity invested models with scalable systems. Appropriately utilize vertical products vis-a-vis interoperable benefits. Progressively formulate reliable e-business with virtual web services. Distinctively exploit frictionless web-readiness with fully tested niches. Distinctively redefine innovative collaboration and idea-sharing without high standards in action items.
Dramatically integrate worldwide technology whereas exceptional catalysts for change. Objectively fabricate multidisciplinary systems whereas ethical platforms. Distinctively transform high standards in markets after world-class metrics. Intrinsicly innovate client-based potentialities whereas high standards in imperatives. Collaboratively productivate alternative convergence after multimedia based e-commerce.
Appropriately impact next-generation collaboration and idea-sharing through cross-platform leadership. Distinctively productize pandemic quality vectors rather than resource-leveling technologies. Enthusiastically implement flexible bandwidth with user-centric ideas. Collaboratively transition distributed models for fully researched core competencies. Dynamically empower high standards in users without effective networks.
Credibly disseminate bricks-and-clicks leadership skills without inexpensive growth strategies. Synergistically actualize client-centric alignments whereas value-added e-commerce. Professionally communicate reliable niches vis-a-vis cross functional services. Conveniently leverage other's cross-platform content through error-free best practices. Synergistically empower distinctive channels rather than distributed markets.


Class NewComponentRequestModel
This class contains the model used for a new component request.
Inherited Members
System.Object.ToString()
System.Object.Equals(System.Object)
System.Object.Equals(System.Object, System.Object)
System.Object.ReferenceEquals(System.Object, System.Object)
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
Namespace: Vasont.Inspire.Models.Webhooks
Assembly: Vasont.Inspire.Models.dll
Syntax
public class NewComponentRequestModel : ComponentRequestModel
Properties
| Improve this Doc View SourceAttachments
Gets or sets a list of form file objects.
Declaration
public List<IFormFile> Attachments { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Collections.Generic.List<Microsoft.AspNetCore.Http.IFormFile> |
File
Gets or sets a file object for new content.
Declaration
public IFormFile File { get; set; }
Property Value
| Type | Description |
|---|---|
| Microsoft.AspNetCore.Http.IFormFile |
FileName
Gets or sets a list of file names that are being submitted for new content.
Declaration
public string FileName { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
FilePaths
Gets or sets a list of file paths.
Declaration
public List<string> FilePaths { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Collections.Generic.List<System.String> |
TemplateName
Gets or sets the name of the template that was used for the request.
Declaration
public string TemplateName { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
Title
Gets or sets the title of the new content that will be used to name the new component.
Declaration
public string Title { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |


I have been assaying the 'wild daggas' now for the last six months. I personally believe it takes several experiences with any substance before one can truely validate the effects.
I have experimented with smoking both Leonurus sibiricus (marahuanilla) and Leonotis leonurus (Lions Tail). Of the latter I used mostly pure flower tops. I have had now close to twenty experiences smoking one large cigarette of one or the other plant. I always do this in the same setting to keep the variables of the experience down to a minimum. This is my own personal system of 'control'. The setting is a quiet house, without any chance of distraction. A clean consciousness, free from any other external substances. Most important though is the clarity of the intent for using such a medicine.
On my experiences; The fist time I tried these plants (I group them together with also Mother Wort for they all contain the same active component leonurine) I thought I surely felt a mild cannabis-like effect that seemed to last for less than one hour. Being aware of the 'placebo effect' I did not want to draw a conclusion from my first experience. Although after several repeated experiments in the same setting using the same dosage I have confirmed/validated (at least for myself) the effects of these plants, and yes they are effective. I would put them in the catagory of a mild euphoric sedatives. Very simular to a low grade marijuana (shade leaf) with shorter duration to the experience (up to 1 hour). Using my dose (1 fat J) I experienced very little negative after effects aside from a mild drowsy feeling that seemed to pass quickly.
I do feel that these plants have a potential for application. Although they are simular to Marijuana they are by no means a substitute for 'killer green buds', but they might be nice to keep around for when times get dry.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


How to create a webpage!

-
When you are done, you can look at it on the development server by typing this command python -m SimpleHTTPServer
-
To login into your sftp account you type sftp username@cmis-hsteacher
-
You get your html and css from your terminal to your sftp by typing put (filename).
-
Check that you uploaded the correct files.

-
Type in your username and password and check your repository to make sure you have the file.


Why are you even reading this? It's a test site for the parser. Go away.
You're still here. OK fine. Check this out.
Now go away, or I will have to get my fighting trousers.


django-textvariation v0.1 documentation
In some cases the person who enters the content will not be the one who applies other variations. For example if the default language was English, there may be a person(s) who translate the content previously entered.
For these people, there is a different view on the content to make creating the variations easier.


Jedds Tree Care: Client Promise of Satisfaction We consider it critical to continuously build on the trust and confidence our clients have placed in us. Share your experience with The Care of Trees. We believe there are no shortcuts to solid relationships and want to earn your business one step at a time with Jedds Tree Care to deliver on 3 things that customers tell us the most.
Our clients trust us to provide professional tree service and landscape service to protect their most precious natural assets. If you are not satisfied with the care you received, we will work with you to fix any potential issues.
Jedds Tree Care
201 Edward Ave.
Lansing, MI 48930
email<EMAIL_ADDRESS>phone:<PHONE_NUMBER>


Zack McKenna
Full-Stack Web Developer
mobile ⋅
908-698-1556
email ⋅
<EMAIL_ADDRESS>website ⋅
zackmckenna.com


Welcome to my first post!
The VirtualBox console has a fairly simple UI where you can add a host folder to share with your VM. Unfortunately for me the sharing folder through VirtualBox console has never worked. Eventually, I ended up spending close to 3 hours; browsing through various tutorials multiple times to achieve this. I hope this post helps you if you’re going through the same struggle.
Before we jump into the steps I would like to highlight why in the first place I wanted to do this.
I work on Linux platform but I prefer Mac as my development machine. In my case the VM basically acts like my build machine.
This post may help you if you’re one of those guys who is just getting started with Linux programming but don’t know how to develop for Linux on Mac.
I’m assuming you already have your VM created. I’m gonna use an Ubuntu Guest VM. First we’ll go through the steps on Mac and then on the VM.
Alright, lets begin!
MacOS
Execute the following command on terminal.
~ vboxmanage list vms
From the output, get the UUID/Name of the VM to share the folder with. Something like da3de34e-8f69-49af-bebb-be3227526092.
Then execute
~ vboxmanage sharedfolder add <UUID> --name "dev" --hostpath <folder_path> --automount
- UUID is the unique identifier the VM that we just noted.
- “dev” is the name of the vbox share folder device that will be created. You can use any name here.
- folder_path is absolute path of directory you want to share
Linux VM
Execute the following command on terminal.
apt-get update
apt-get install build-essential linux-headers-$(uname -r) virtualbox-guest-dkms virtualbox-guest-additions-iso virtualbox-guest-x11
adduser vboxsf
reboot
Once the system is back online. Lets add the guest additions.
mount -o loop /usr/share/virtualbox/VBoxGuestAdditions.iso /mnt
./mnt/VBoxLinuxAdditions.run
umount /mnt
reboot
We’re almostcthere. We now mount the “dev” device which we created on mac on destination directory using regular mount command.
mount -t vboxsf -o uid=$UID,gid=$(id -g) dev <dest_dir>
Mission Accomplished!
I hope you liked my first post.
Nilesh Somani


{% extends 'comm/emails/base.html' %}
{% block content %}
After reviewing your submission for {{ obj.name }}, we have determined that it does not currently meet our requirements for approval.
{% include 'comm/emails/includes/details.html' %}
{% include 'comm/emails/includes/questions.html' %}
{% if is_app %}
Once the concerns above have been addressed, you may resubmit your app from the My Submissions page at {{ manage_url }}.
{% elif is_extension %}
Once the concerns above have been addressed, you may resubmit your Firefox OS add-on from at {{ manage_url }}.
{% endif %}
{% endblock %}


{% load raven %}
You've encountered an error, oh noes!
If you need assistance, you may reference this error as {{ request.sentry.id }}.


{% extends 'base.html' %} {% block content %} {% include "_modal.html" %}
A jQuery plugin for creating AJAX driven Django forms in Bootstrap modal.
Sign up via Bootstrap modal.
Log in via Bootstrap modal. Sign up first.
Create, Read, Update and Delete books in Bootstrap modal.
Filtered books.
{% endif %} {% include "_books_table.html" %}


Ugo lived in Plovdiv. In the fog, Ugo goofed off. “There you go, Ugo, goofing off again,” said Ugo's ma. It was foggy. Ugo stepped in some goo. He got it on his boots. “Ma, I've got goo on my boots,” said Ugo.  She had a drawer of gewgaws. Gewgaws and rags. Ugo's ma was blind, so when Ugo goofed off and got goo on his boots, she opened the drawer of gewgaws and rags and rummaged, feeling for a rag rather than a gewgaw, for if she gave Ugo a gewgaw he wouldn't get the goo off his boots, but with a rag he would. Ugo sat in the porch after goofing off and wiped the goo off his boots with a rag. In the fog. In Plovdiv.
Source : Folk Tales Of Plovdiv collected by O. Pod. There is a different version of this age-old story set not in Plovdiv but in Totnes.


This project is in its initial phase. We are continuously working on improvements
to make this project better. Some of the cool features are still in development.
So feel free to try and report any bug found. Pull requests, issues, and plugin
recommendations are more than welcome!


StarDucks Cappucino Token Sale
Get started
Step 1: Kyc Whitelisting
Step 2: Send some Wei
Drink some coffee
Step 3: The tokens
Step 4: Exchange for coffee
(burn a token!)
© Joel Brooker
Step 1: Kyc Whitelisting
Step 2: Send some Wei
Step 3: The tokens
Step 4: Exchange for coffee
(burn a token!)
© Joel Brooker


Active Documentation
In Active Documentation, we explore approaches to help developers easily document, check, and update design rules in code.
ActiveDocumentation
Good documentation has long been argued to be key to helping developers write code more quickly and consistently with design decisions, but is left largely disconnected from code. We propose a method for active documentation, where design decisions are made explicit as design rules and checked against code. Developers can discover how to follow a design rule by navigating to examples in their codebase. After editing code, developers receive immediate feedback about which design rules are satisfied and which are violated, notifying developers who miss design decisions about the existence of these design decisions.
RulePad
Good documentation offers the promise of enabling developers to easily understand design decisions.
Unfortunately, in practice, design documents are often rarely updated, becoming inaccurate, incomplete, and untrustworthy. A better solution is to enable developers to write down design rules which may be checked against code for consistency. But existing rule checkers require learning specialized query languages or program analysis frameworks, offering a barrier to writing project-specific rules.
We introduce two new authoring techniques for design rules: snippet-based authoring and semi-natural-language authoring.
In snippet-based authoring,
developers specify characteristics of elements to match by writing partial code snippets.
In semi-natural language authoring,
a textual representation offers a representation for understanding design rules and resolving ambiguities,
which is bidirectionally synchronized.
We implemented these approaches in RulePad.


| Maui Whale Watch Trip |
Building interpersonal relations among the Printer Working Group participants helps the group work through the tough issues. At the January meeting, some of the group participated in an evening whale watch. Here are some pictures.....
| Nice shot of a couple of humpbacks!! | |
| She's looking for the boys. | |
| Slap, slap, slap | |
| Here she is again. | |
| It is amazing what a little photo editing can do! | |
| Sunset over Lanai! |


Plugin Information |
|---|
View vFabric Application Director on the plugin site for more information. |
The current version of this plugin may not be safe to use. Please review the following warnings before use:
Enables deployment of a cloud based application through vFabric Application Director. Your build can trigger the teardown and re provisioning of an end to end application environment or the release of your build to an existing Application Director managed environment.
Table of Contents
Purpose
When leveraging vFabric Application Director to accelerate the consistent provisioning and / or deployment of your multi tiered application to infrastructure clouds, it is often necessary to automate and integrate the process with your Jenkins based jobs. This plugin allows you to exercise a vFabric Application Director based application blueprint to achieve continuous provisioning or the deployment of your build artifacts to an existing vFabric Application Director managed application for continuous deployment or delivery.
Features
This plugin lets you automate the re-provisioning or release of your multi tiered application during a Jenkins build:
- Global Configuration
- Base Application Director REST URI
- Username and Password
- Connection Validation
- Job
- Provisioning
- Select from existing application blueprints
- Select from existing deployment profiles
- Schedules the teardown of the first existing deployment found for this application
- Schedules the re-provisioning of the selected blueprint / deployment profile
- Update
- Select from list of existing deployments
- Select from list of application components
- Select from a list of update properties per component
- Provide new value for a specific property. Will typically point to the recently build application artifact (ie. war file)
- Update the selected existing deployment. Application Director will maintain all update history.
- Provisioning
- Application Director feedback provided to the job build console
Requirements
Jenkins
This plugin was tested against Jenkins ver. 1.466.
vFabric Application Director
This plugin was tested against vFabric Application Director 5.0. The 1.0 version of the REST API was used
Configuration
Global Configuration
Provide the base URI for your Application Director REST API and the credentials for a user with at least the ROLE_DEPLOYER role assigned. Validate that the information entered is correct and that Jenkins can connect to Application Director by clicking the 'Validate Connection' button.
Job Configuration
Provisioning
Select the Application Director Client checkbox and choose 'Provision'. Select the application blueprint and deployment profile fromt the list that is populated from Application Director.
Update
Select the 'Update' option and choose from a list of existing deployments. Select the appropriate component property to update and provide a value to be used when updating.
Known issues
Potential upcoming features
Source code
The latest source code can be found on GitHub:
https://github.com/jenkinsci/application-director-plugin


section id="about" class="text-center about">
HackCU hosts the largest annual hackathon in the Rocky Mountain region at the University of Colorado, Boulder. Every spring, we bring together people of all experience levels, majors and backgrounds to CU Boulder. HackCU provides the space and the resources for you to express your creativity, ingenuity, and determination to create anything you want to. We welcome any and all students to apply.
Applications are now closed. Keep an eye out for us Spring 2018!
Applications are now closed for HackCU III. Keep an eye out for us Spring 2018!
Participants
Awesome Projects
Energy Drinks
Hours of Hacking
We welcome any student 18 or older to participate! We always welcome volunteers, mentors, and sponsors to attend as well. Contact us for more information.
A laptop, laptop charger, phone, chargers, headphones, a pillow, toiletries, an extra set of clothes, and a water bottle.
HackCU is absolutely free to attend, and we will be providing all meals, snacks, and refreshments!
We will be offering travel reimbursement this year! Stay tuned for more info.
Be a volunteer or mentor! Sign up here.
Absolutely not!  There is a place for you here. There will be a team formation session at the beginning of the event to help form teams.
A hackathon is an event where motivated people come together and use technology and creativity to build something amazing. Any designers, writers, computer scientists or anyone interested in hackathons are welcome to attend!
Don't have a team? We got you covered. We will have time before hacking begins for hackers to get together and form teams. You can have a maximum of 4 members on your team.
Yes, lots! We will provide three meals a day as well as snacks, drinks, and caffeine.
You can NOT use anything that you have started prior to the event. You can think of ideas for your project, but you need to start from scratch when you arrive.
You need to check-in at 8:30 AM at the Mathematics Building
Once the opening ceremony gets over at 10:30 AM, you will be moved to the Wolf Law building
My name is Arielle Blum, I am a faculty instructor with the College of Engineering and Applied Sciences at the University of Colorado, Boulder. I have been teaching here at CU for 3 years, and I am the faculty adviser for the CU Quadcopter Club. I completed both a BS and MS in Electrical Engineering. I am interested in machine learning, soft robotics, and I make synthesizers in my spare time.
Aileen has been an instructor for the ATLAS Technology, Arts, and Media program at CU Boulder since 2004. Aileen teaches courses focusing on mobile app and web development as well as the integration of programming into new media. Aileen holds a B.S. in Math/Computer Science from Carnegie-Mellon University. She spent nine years in Silicon Valley working at Oracle and two startups in product marketing and technical support before moving to Boulder.
Kai Larsen is an associate professor in the Leeds School of Business as well as in the Department of Information Science. He has been teaching at CU for 16 years and focuses on Automated Machine Learning. His research addresses the underlying cognitive structure of questionnaire data using Natural Language Processing approaches. His favorite activity is to work on Math with his 9-year-old daughter.
Jeremy Johnstone is a renaissance man who applies his knowledge and experience towards his passion to connect people to their passions, communities, and the world’s knowledge. In addition to holding senior and/or leadership roles in major Internet companies, he’s participated or organized over 300 developer hack days around the globe and is a cofounder of Random Hacks of Kindness, the organization which brought social good hack days into the mainstream.
Martha Cofran received her BA from Regis University in Computer Information Systems. Even before graduating Martha, was an integral part of the tech community in the North Denver metro area. She has been with Sovrn for the past 3yrs with a primary focus on the AdTech line but has recently moved into a broader role as Sr. Director of Engineering. Martha's passion for engineering comes from devising solutions to help publishers do more of what they love. She is excited to have the opportunity to observe the innovative solutions presented by the enthusiastic participants of HackCU.
Bob Wold is a Technology Executive leveraging 18+ years of Engineering leadership to broadly apply leading technologies like Data Science, IoT, GPS, Machine Control Systems to various domains such as Agriculture, Transportation, and Logistics. Having started his career in the world of startups, Bob is passionate about, developing a culture of innovation that solves real life problems in creative ways. Bob is the Engineering Director of Agricultural Business Solutions for Trimble


Create a new identity
This process can take time, please be patient (up to 2 minutes)
Name
Lastname
Email
Send email to the user ?
Add
Home


Required Files
- cases/helper
Namespace
- MODULE ActiveRecord
- CLASS SchemaTest
- CLASS SchemaTest::Album
- CLASS SchemaTest::Song
- CLASS SchemaTest::Thing1
- CLASS SchemaTest::Thing2
- CLASS SchemaTest::Thing3
- CLASS SchemaTest::Thing4
- CLASS SchemaTest::Thing5


This section will give installation instructions for PC and Mac users as well as a new cloud based solution for LaTeX typesetting.
LaTeX can be run from the command line with a text editor and properly installed programs, however, I recommend using a LaTeX environment. This will simplify matters and also provide a development environment with useful properties such as syntax highlighting, compiling macros, etc.
When you have chosen your particular environment, type the following code and attempt to compile it.
\documentclass{article}
\begin{document}
This is my first \LaTeX document!
\begin{equation}
a^2+b^2=c^2
\end{equation}
I can write equations!
\end{document}
I personally use MikTeX for my own purposes, however, this is mostly a matter of not changing old habits and a temperamental internet connection. Sites such as ShareLaTeX and cloud processing in general are the future of LaTeX typesetting and have several amazing features such as shared document editing and integration with cloud storage.
Created by Zachary Glassman. Contact at zach.glassman@gmail.com


Currently there are two available releases:
Install the MxM gpg key:
this requires root previleges
apt-key adv --keyserver 'keys.gnupg.net' --recv-keys '7F40EF0A'
run the following command, it will create a apt.mxmdev.com.list in /etc/apt/sources.list.d/
to install experimental packages run the following command
echo "deb http://apt.mxmdev.com unstable main" > /etc/apt/sources.list.d/apt.mxmdev.com.unstable.list
to install stable packages run the following command
echo "deb http://apt.mxmdev.com stable main" > /etc/apt/sources.list.d/apt.mxmdev.com.stable.list


Oyo: Gunmen Attack Makinde’s Commissioner In Ibadan
by Olugbenga IgeThe Oyo State Commissioner for Lands, Abdulraheem Abiodun, has been attacked by unknown gunmen in Ibadan, the state capital.
Concise News understands the attack took place on Wednesday around 8:00 p.m. after the commissioner was dropped at his residence.
It was also learned that the gunmen killed his driver in the process and also injured his orderly who is currently hospitalised after sustaining bullet wounds.
As at the time of filing the report, the state Police Command said there will be a briefing with journalists later in the day to give further details on the incident.
More to come…


• Microsoft Azure, commonly referred to as Azure, is a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through Microsoft-managed data centers.
Create Your Azure Free Account Today
• Visit Create your Azure free account today | Microsoft Azure
create an account with username and password
• Follow the prompts to create your personal account or organization.
Docker-Azure integration
• Log into Azure account
• In the command prompt: $docker login azure
Create an ACI context
• $docker context create aci myacicontext
Run a container
• $docker --context myacicontext run -p 80:80 nginx
To view logs from your container, run:
• $docker logs


Posted on February 28, 2016
Experience
The journey has been great and full of surprises along with some challenges. The biggest challenge thus far has been to develop the right design. From the beginning, I wanted to design a simple and clean website that would showcase the many future projects that I am going to make. That is why I chose to limit my color palette to black, white, and orange. That way I was not distractd with too much color or how the colors matched. The design I chose was purposefully limited in order to have more flexibility at a later time when I intend to add AngularJS or add more versatility to make it a full web app for managing my projects.
Lessons Learned
By far the biggest lesson has been that a great product takes maticulous planning, and thought to make it beautiful and practical. Take luxury cars, or high end accessories; designers take time to evaluate not only the function of the product but the asthetics, and not sacraficing one for the other. On premium items, elegance is the keyword, thus form and function are symbiotic. That delicate balance is an art, that I came to appreciate first hand when building this webpages.
Future Outlook
The key take away, is that at the beginning of this journey, I had no knowledge of any HTML, and after several weeks of hard work, dedication, and patience, I have delivered a website that showcases my skills up to this point. From here, I will now strive to make it cleaner, incorporate additional technologies to make the user experience better, increase the pallete of colors, and striving to make it more elegant.


EA: Eternal War is fan based tournament pack. Everything here is set up
try and capture a new and fresh version of Epic Armageddon. Same rules just
different lists with a new spin.
Information
Here is a document explaining the differences between netEA and EA:
Eternal War.
Rule Set
EA: Eternal War uses the netEA tournament pack ruleset which can be
found
here.
EA:
Quick Reference


HH: Statistical Analysis and Data Display: Heiberger and Holland
Support software for Statistical Analysis and Data Display (Second Edition, Springer, ISBN 978-1-4939-2121-8, 2015) and (First Edition, Springer, ISBN 0-387-40270-5, 2004) by Richard M. Heiberger and Burt Holland. This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The second edition includes redesigned graphics and additional chapters. The authors emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how accompanying traditional tabular results are used to confirm the visual impressions derived directly from the graphs. Many of the graphical formats are novel and appear here for the first time in print. All chapters have exercises. All functions introduced in the book are in the package. R code for all examples, both graphs and tables, in the book is included in the scripts directory of the package.
| Version: |
3.1-35 |
| Depends: |
R (≥ 3.0.2), lattice, stats, grid, latticeExtra, multcomp, gridExtra (≥ 2.0.0), graphics |
| Imports: |
reshape2, leaps, vcd, colorspace, RColorBrewer, shiny (≥
0.13.1), Hmisc, abind, Rmpfr (≥ 0.6.0), grDevices, methods |
| Suggests: |
mvtnorm, car, Rcmdr, RcmdrPlugin.HH, TeachingDemos, microplot |
| Published: |
2018-06-05 |
| Author: |
Richard M. Heiberger |
| Maintainer: |
Richard M. Heiberger <rmh at temple.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Citation: |
HH citation info |
| Materials: |
NEWS |
| In views: |
ClinicalTrials |
| CRAN checks: |
HH results |
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=HH
to link to this page.


I took the infusion Saturday evening. I made preparations two nights before when I ground the seeds (Heavenly blue Morning Glory seeds, stolen from Sears, 3 packs of 2 grams each. I managed to get unpoisoned ones.) behind the closed door of my first-floor bathroom, taking breaks so as not to overheat them. I used a coffee grinder. Then I put the powder into a plastic bag, and packed it covertly in the clothing I was bringing on vacation, along with ginger, in root form. I found it hard to get all the powder from the grinder.
Two days later I was at our destination, somewhat bored. I went to my closet in my room at our condo and used a spoon to put it in a bottle of ginger beer. I figured that it would help with the nausea. I spilled some powder in transeferrence, which may have amounted to a weaker experience I was nervous. My mom came in the room once, but she didn't see me. I drank the mixture, somewhat disgusting but nothing too bad. 5 Minutes later I swallowed a few chunks of ginger root with some juice. It got stuck in my larynx and I coughed up some juice but eventually swallowed it down. I had some pasta about 10 minutes later, and I wasn't hungry. The nausea was kicking in, and became rather bad for about one hour to 75 minutes. It was strong, but I didn't vomit. I believe the ginger tempered it.
Around that time also began the dilation of my pupils. They were large, the size of coins. I am lucky to have normally big pupils so they did not arouse much suspicion, but if anyone had scrutinized they could have guessed something was up. And after that hour of nausea had passed that something was me. I rode with my friend on bike to the nearby market and was feeling a good high feeling on the was over, a nice heavy high while I was there, and euphoria on the way back, even though we were soaked by a storm. I remember feeling my inhibitions lowered and I found the reflection of the trees in the puddles fascinating. Even though it was getting dark I had good night vision, presumably due to the dilation.
While I was at the hight of the trip (this lasted about six hours) everything was fascinating. At one point we all were sitting in the living room and my mom was laying down ground rules for our stay at the resort and talking about things we'd be doing and I was in total agreement. We talked about the Civil War, because there were many historical sites nearby and I thought and commented that the main thing was that it was sad that so many people died. My sense of touch was heightended and my bedding and couch felt great and fascinating. Everyone else left the condo and I proceeded to brush my teeth with an auto toothbrush which was also, you guessed it, fascinating.
Then I got in bed and listened to a Metallica CD I had got. It was very good, and it felt like I was conducting the music. Time was distorted, and seemed at once fleeting and infinitely slow, without being either too fast or boring. I also experienced some minor wall-bending and closet-shifting, which was very cool. Later my friend came in and played some Castelvania, which I found interesting. I thanked him for always being there for me. When not on drugs I am not quite this sentimental. My brother wanted to play Legend of Mana, and I let him. It is a very colorful game, and was very fun to watch.
After that we watched the Simpsons on DVD. It was freaky, with many of the colors seeming to be pink gradients. Everything was, in fact, shaded. I did not have the fantastic closed-eye visuals I have heard about, except for some swirling, Sanskrit-seeming dull rainbow patterns which were vague and not terribly satisfying, but I still felt great. When I woke up I felt groggy and kind of achy, not rejuvenated like many people report. However, the experience was a good one, being my first real experience with drugs. I will try it again, with more experienced friends, in more comfortable and stimulating environments, and at a higher dose. It has fantastically piqued my interest.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


How to Use Ruby's Map Method
The map method is a non distructive enumerable method of Ruby's Array class or Enumerable#map in Rubyese. In a nutshell it will iterate over each element in an array and perform a function on each of these elements. It also has a corresponding destructive version Enumerable#map! if you need to change the original array and have it returned instead of returning a new one. It is a really handy method when you want to do 'something' to each element of an array. Take a look at the following examples to see what I mean.
That's it! A very simple yet powerful method to use anytime you need to do 'something' to each value within an array.


We got quite some resumes after my
last post. Processing them is currently slow so this might not happen before Lotusphere. However I'm pleased to announce positions that are open
now. If you are in India or like to work there you might consider these. Work locations are Dehli and Mumbai:
Technical Sales /Pre Sales for Workplace and Websphere Portal Server
Responsibilities:
Articulate market vision and strategy for IBM's WebSphere Portal Server to clients/IBM Business Partners.
Design Solution around IBM's Portal Server and Application Servers to be able to position IBM's Value propostion Viz Competetive products like Sharepoint Portal, Oracle Portal, Sun One Portal etc.
This requires deep undertstanding of Features/Functions of Web Application Servers, Portal Servers & Directory Servers (Like LDAP/NDS), Security Products etc.
The Job Responsibilities would include doing Presentations, Demonstrations, Proof of Concept, RFP, system study, preparing a solution/architecture document, making proposal & getting the solution validated and following IBM's best practices. This job is a Technical Sales or Pre Sales job where the candidate would involve in technically positioning the solution/products during the sales cycle & work closely with Global SI's to position IBM Solutions to their customers. The candidate would support IBM Business partners in building the solutions on IBM SW for their customers. This job would also involve training the IBM Business partners on IBM technologies.This job would require frequent travels for short durations.
You have:
- 7-10 Year Industry Experience with at least 2 years in building Web Applications (Java J2EE preferred, C# and .NET acceptable).
- Working knowledge of Web Services and similar technologies for integration
- Good knowledge of technical issues in GUI design and building (JSP, ASP, XML, CSS)
- Some limited skills in making GUI look nice desired (for simple demos).
- Applied knowledge of security products for access control (LDAP, Single Sign ON etc) a plus
- Experience with Portal Products (IBM, BEA, Microsoft Sharepoint, Oracle) a very strong plus.
- "Communication Skillsets
- Must have strong written and verbal communication and presentation skills
- Proven experience in customer facing situation"
- Web Application Servers - Websphere Application Server or WebLogic or Oracle Application Server
- Portal Servers Like :- Websphere Portal Server or MS Portal or SunOne Portal, Oracle Portal Server, HummingBird/Broadvision or any other portal
- Development Experience in Java, J2EE or C++ or .Net
- Development Tools like - Eclipse, WSAD, RAD, Borland etc.
- Operating Systems: Unix /Window Server/Linux
- Solution Design & Architecting Skills
- Designer skills to appreciate high performing and good looking Web site
That's from the official Job requirement description. I would add: you need to be curious and passionate. The team is fun to work with and appreciates skilled contributions.
Let
Gopi know if you are interested (and copy me).


Average Coins by User:
Average % Invested:
Average % in Wallet:
Max Coins:
--------------
Number of Coins by Level
Level
Average
Invested
In Wallet


Item.
On a web page, you can move forward by page heading by pressing letter H. SHIFT + H will jump back by page heading. Try this on the web page.
On a web page, you can move forward by page heading by pressing letter H. SHIFT + H will jump back by page heading. Try this on the web page.


--- layout: post status: publish published: true title: 'Episode #5.36 - 2013 Prediction Results' author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 8614 wordpress_url: http://ivyenvy.com/?p=8614 date: '2013-11-16 08:45:05 +0000' date_gmt: '2013-11-16 14:45:05 +0000' categories: - Podcast tags: - Marlins Will Soar - 2013 Cubs Predictions - The Awesome 80's Podcast comments: [] ---
Andy, Corey and Kurt are all in studio again and welcome long-time listener and first-time guest host, Michael from Galesburg. Michael also podcasts and you can find his show on the 1980's at The Awesome 80's Podcast.
On this episode, we revisit the 2013 predictions we made at the beginning of the season. This was Episode 5.01. Also, in this episode, we mention our review of "Marlins Will Soar" and you can find that about halfway through Episode 3.30.


Create a test with fifty math facts, suitable for printing. Refresh the page to create a different test.
Practice and repetition can help children learn basic arthimetic facts. These facts serve as the building blocks for future learning.
With practice, children as young as seven years old can complete fifty math facts in about three minutes. Start with the simplest tests, and move to more difficult facts when easier ones are mastered.
When my son was in first grade, he had to answer fifty math facts in two and a half minutes. Once we ran out of the practice tests provided by his school, we needed a way to create new tests.
Math Facts is open-source software, licensed uder the MIT license. You can contribute to the project on Github.
If you experience problems with this site, please create an issue via Github. If you have used Math Facts to help your children or students learn arthimetic, let us know via Twitter. We love to hear feedback!
Math Facts is possible thanks to some great software, including Dart, MathJax, and Bootstrap.


The code for this app is on github at ianfinch/messaging. All the clever stuff was already available at bramp/js-sequence-diagrams.
See ian-says.com for more information about how this was all put together, built, and hosted.
Licensed under Apache License, Version 2.0.


This library contains convective heat transfer and pressure loss functions written in Modelica®. Generally the pressure loss calculations are based on incompressible fluids and total pressure difference. For devices with non changing cross sectional area, the calculated total pressure loss is equal to the static pressure difference. Geodetic pressure loss is not considered throughout the library. The functions supplied may be used separately.
The library is a non-commercial product of XRG Simulation GmbH.
The following people contributed to the Fluid.Dissipation library (alphabetical list): Jörg Eiden, Ole Engel, Nina Peci, Sven Rutkowski, Thorben Vahlenkamp, Stefan Wischhusen.
The development of the Fluid.Dissipation library was founded within the ITEA research project EuroSysLib-D by German Federal Ministry of Education and Research (promotional reference 01IS07022B). The project was started in October 2007 and ended in June 2010.
Copyright © 2007-2019, Modelica Association and contributors
| Name | Description |
|---|---|
| UsersGuide | User's guide |
| HeatTransfer | Package for calculation of heat transfer |
| PressureLoss | Package for calculation of pressure loss |
| Utilities | Package for utilities (should not be used directly) |


Unit Composition Unit Composition Unit Composition Unit Composition Unit Composition Unit Composition Unit Composition Unit Composition Unit Composition Unit Composition Unit Composition Unit Composition Unit Composition Unit Composition Unit Composition Unit Composition


Specific speed is a numerical representation of the impeller shape. When appropriate units are used, it is a dimensionless quantity. However, standard industry practice is to use common engineering units that do not resolve to a dimensionless quantity.
The standard U.S. (metric) units used to calculate specific speed are:
Rotational speed: rpm (rpm)
Flow rate: gpm (m^3/hr)
Head: ft (m)
It is also standard practice to simply eliminate the gravitational constant term. The specific speed equation is to be applied to only one condition, namely the best efficiency point (BEP)
Example:
BEP flow rate = 5000 gpm (1135.6 m^3/hr)
BEP head = 120 feet (36.6 m)
Rotating speed = 1780 rpm
Single stage pump
U.S. Specific speed = 3472; metric specific speed = 4033
Most centrifugal pumps in common industrial applications will have specific speed values in U.S. (metric) units of between 500 (581) and 7000 (8132). Pump impellers toward the lower end of the range have a pronounced radial flow, while impellers toward the upper end of the range approach an axial flow profile.


Index
A C D E G L M P R S U W
All Classes|All Packages
All Classes|All Packages
All Classes|All Packages
G
- getDaysOfWeek() - Method in class com.bbtutorials.users.model.Workout
- getEmail() - Method in class com.bbtutorials.users.model.Account
- getExercises() - Method in class com.bbtutorials.users.model.Workout
- getExerciseType() - Method in class com.bbtutorials.users.model.ExerciseRun
- getExerciseType() - Method in class com.bbtutorials.users.model.ExerciseWeight
- getFriends() - Method in class com.bbtutorials.users.model.Account
- getId() - Method in class com.bbtutorials.users.model.ExerciseRun
- getId() - Method in class com.bbtutorials.users.model.ExerciseWeight
- getId() - Method in class com.bbtutorials.users.model.Workout
- getLbs() - Method in class com.bbtutorials.users.model.ExerciseWeight
- getMiles() - Method in class com.bbtutorials.users.model.ExerciseRun
- getName() - Method in class com.bbtutorials.users.model.ExerciseRun
- getName() - Method in class com.bbtutorials.users.model.ExerciseWeight
- getName() - Method in class com.bbtutorials.users.model.Workout
- getPassword() - Method in class com.bbtutorials.users.model.Account
- getReps() - Method in class com.bbtutorials.users.model.ExerciseWeight
- getRunExercises(String) - Method in class com.bbtutorials.users.controller.ExerciseController
- getRunExercises(String) - Method in class com.bbtutorials.users.dao.RunExerciseDao
-
Returns a list of run exercises contained by the user corresponding to their email address, which must be in the form of<EMAIL_ADDRESS>- getSets() - Method in class com.bbtutorials.users.model.ExerciseWeight
- getUserEmail() - Method in class com.bbtutorials.users.model.ExerciseRun
- getUserEmail() - Method in class com.bbtutorials.users.model.ExerciseWeight
- getUserEmail() - Method in class com.bbtutorials.users.model.Workout
- getUsername() - Method in class com.bbtutorials.users.model.Account
- getWeightExercises(String) - Method in class com.bbtutorials.users.controller.ExerciseController
- getWeightExercises(String) - Method in class com.bbtutorials.users.dao.WeightExerciseDao
-
Returns a list of weight exercises contained by the user corresponding to their email address, which must be in the form of<EMAIL_ADDRESS>- getWorkouts(String) - Method in class com.bbtutorials.users.controller.WorkoutController
- getWorkouts(String) - Method in class com.bbtutorials.users.dao.WorkoutDao
-
Returns a list of workouts contained by the user corresponding to their email address, which must be in the form of<EMAIL_ADDRESS>All Classes|All Packages


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Module core.cpuid
Identify the characteristics of the host CPU, providing information about cache sizes and assembly optimisation hints. This module is provided primarily for assembly language programmers.
References
Some of this information was extremely difficult to track down. Some of the documents below were found only in cached versions stored by search engines! This code relies on information found in:
- "Intel(R) 64 and IA-32 Architectures Software Developers Manual, Volume 2A: Instruction Set Reference, A-M" (2007).
- "AMD CPUID Specification", Advanced Micro Devices, Rev 2.28 (2008).
- "AMD Processor Recognition Application Note For Processors Prior to AMD Family 0Fh Processors", Advanced Micro Devices, Rev 3.13 (2005).
- "AMD Geode(TM) GX Processors Data Book", Advanced Micro Devices, Publication ID 31505E, (2005).
- "AMD K6 Processor Code Optimisation", Advanced Micro Devices, Rev D (2000).
- "Application note 106: Software Customization for the 6x86 Family", Cyrix Corporation, Rev 1.5 (1998)
- http://www.datasheetcatalog.org/datasheet/nationalsemiconductor/GX1.pdf
- "Geode(TM) GX1 Processor Series Low Power Integrated X86 Solution", National Semiconductor, (2002)
- "The VIA Isaiah Architecture", G. Glenn Henry, Centaur Technology, Inc (2008).
- http://www.sandpile.org/ia32/cpuid.htm
- http://www.akkadia.org/drepper/cpumemory.pdf
- "What every programmer should know about memory", Ulrich Depper, Red Hat, Inc., (2007).
- "CPU Identification by the Windows Kernel", G. Chappell (2009). http://www.geoffchappell.com/viewer.htm?doc=studies/windows/km/cpu/cx8.htm
- "Intel(R) Processor Identification and the CPUID Instruction, Application Note 485" (2009).
Bugs
Currently only works on x86 and Itanium CPUs. Many processors have bugs in their microcode for the CPUID instruction, so sometimes the cache information may be incorrect.
Functions
| Name | Description |
|---|---|
aes
|
Is AES supported |
amd3dnow
|
Is AMD 3DNOW supported? |
amd3dnowExt
|
Is AMD 3DNOW Ext supported? |
amdMmx
|
Are AMD extensions to MMX supported? |
avx
|
Is AVX supported |
avx2
|
Is AVX2 supported |
cacheLevels
|
The number of cache levels in the CPU. |
coresPerCPU
|
Returns number of cores in CPU |
dataCaches
|
The data caches. If there are fewer than 5 physical caches levels, |
fma
|
Is FMA supported |
fp16c
|
Is FP16C supported |
has3dnowPrefetch
|
Is 3DNow prefetch supported? |
hasCmov
|
Is cmov supported? |
hasCmpxchg16b
|
Is cmpxchg8b supported? |
hasCmpxchg8b
|
Is cmpxchg8b supported? |
hasFxsr
|
Is fxsave/fxrstor supported? |
hasLahfSahf
|
Are LAHF and SAHF supported in 64-bit mode? |
hasLzcnt
|
Is LZCNT supported? |
hasPclmulqdq
|
Is pclmulqdq supported |
hasPopcnt
|
Is POPCNT supported? |
hasRdrand
|
Is rdrand supported |
hasRdseed
|
Is rdseed supported |
hasRdtsc
|
Is rdtsc supported? |
hasSha
|
Is SHA supported |
hasSysEnterSysExit
|
Is SYSENTER/SYSEXIT supported? |
hasVpclmulqdq
|
Is vpclmulqdq supported |
hle
|
Is HLE (hardware lock elision) supported |
hyperThreading
|
Is hyperthreading supported? |
isItanium
|
Is this an IA64 (Itanium) processor ?
|
isX86_64
|
Is this an Intel64 or AMD 64? |
mmx
|
Is MMX supported? |
preferAthlon
|
Optimisation hints for assembly code. |
preferPentium1
|
Does this CPU perform better on Pentium I code than Pentium Pro code? |
preferPentium4
|
Does this CPU perform better on Pentium4 code than PentiumPro..Core2 code? |
processor
|
Returns processor string, for display purposes only
|
rtm
|
Is RTM (restricted transactional memory) supported |
sse
|
Is SSE supported? |
sse2
|
Is SSE2 supported? |
sse3
|
Is SSE3 supported? |
sse41
|
Is SSE4.1 supported? |
sse42
|
Is SSE4.2 supported? |
sse4a
|
Is SSE4a supported? |
ssse3
|
Is SSSE3 supported? |
threadsPerCPU
|
Returns number of threads per CPU |
vaes
|
Is VEX-Encoded AES supported |
vendor
|
Returns vendor string, for display purposes only.
|
x87onChip
|
Does it have an x87 FPU on-chip? |
Structs
| Name | Description |
|---|---|
CacheInfo
|
Cache size and behaviour
|
Global variables
| Name | Type | Description |
|---|---|---|
datacache
|
CacheInfo[5]
|
Scheduled for deprecation. Please use instead.
|
family
|
uint
|
Warning: This field will be turned into a property in a future release. |
model
|
uint
|
Warning: This field will be turned into a property in a future release. |
numCacheLevels
|
uint
|
This field has been deprecated. Please use instead.
|
stepping
|
uint
|
Warning: This field will be turned into a property in a future release. |
Authors
Don Clugston, Tomas Lindquist Olsen <tomas@famolsen.dk>


Data Feed: AssetCatMaster
Category: MasterFeed
| Field | Vision Property | Type | Description |
|---|---|---|---|
| --- Required Fields --- | |||
| entityId | code | String | id of new or existing AssetCategory instance |
| --- Suggested Fields --- | |||
| name | name | String | descriptive name |
| --- Other Fields --- | |||
| numericCode | numericCode | Number | numeric code |
| shortName | shortName | String | short name |
| sortCode | sortCode | String | sort code |
The following tab-delimited feed could be used to create AssetCategory instances and refresh basic information:
Related Feeds:
Sample Upload:
Interface ExternalFeedManager upload: "AssetCatMaster" using:
"EntityId Name
Equity Equity
Fixed Fixed Income
Cash Cash & Equivalents
Other Other Assets
" ;
| Copyright © 1998 Innovative Systems Techniques, Inc. | Updated August 27, 1998 |


Change / Modify
Three.js Objects
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Scale - Them
Do Whatever you want with them
Three.js Tutorial
GSAP + Scrolltrigger


Symbol Index for "Reference Point"
Symbol Index for diagram
"Reference Point"
Location (Class)
Percept (Class)
Reference Point (Class)
RP/Dimension (Generalization Node)
Timepoint (Class)


{% extends 'base.html' %} {% load humanize %} {% load staticfiles %} {% block title %}Eyrie - About{% endblock %} {% block body %}
Eyrie is our attempt to build what we thought the GitHub wiki should be, using GitHub pages as an example. Users can create documentation for their repo by creating an orphan branch in the repository and putting documentation there. When a user adds their repo to Eyrie, they can select the branch they'd like Eyrie to follow. Because Eyrie uses a branch in the repository itself, users can use pull requests and other git workflows. The repository can have directories, rather than just a flat list of documents. Eyrie also allows users to search across multiple repositories.
Eyrie is maintained by ZeroCater and was created in response to our growing need to maintain and browse documentation, while keeping our standard GitHub workflows in place. We wanted our documentation to be treated like code. Because Eyrie is open source, anyone with experience with Python/Django is welcome to contribute.
Eyrie was created as a fork of Linty, another open-source project of ours, and can be found on GitHub here.


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Hello,
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One of your GitHub friends joined Likeastore - social bookmarking tool for geeks, to browse favorited GitHub repos and gists, Stackoverlow questions and best technical talks on Youtube.
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Drake
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Jumpman
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Passionfruit
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Started From the Bottom
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****in' Problems
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MIA
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Signs
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Marvins Room
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Too Good (Conor Maynard & Sarah Close Cover) (Lured X NGO Remix)
[by:NickyRomero] I don't know how to talk to you I don't know how to ask you if you're okay My friends always feel the n... -
Work
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Marvin's XX
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Forever
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Money In The Grave
[by:Trap_Girl] 作曲 : Aubrey Graham/W. Roberts/L. Currie/C. Dade/A. Joergensen 作词 : Aubrey Graham/W. Roberts/L. Currie/C... -
God's Plan
[by:KuiSerni] 作曲 : Aubrey Graham/Ronald LaTour/Daveon Jackson/Mathew Samuels/Noah Shebib 作词 : Aubrey Graham/Ronald LaT... -
0 To 100 / The Catch Up
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Behind Barz (Bonus)
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Walk It Talk It
[by:Trap_Girl] 作曲 : Quavious Marshall/Kiari Cephus/Kirsnick Ball/Aubrey Graham/OG Parker/Jerel 作词 : Quavious Marshall/... -
Won't Be Late
[by:Trap_Girl] 作曲 : Khalif Brown/Aubrey Graham/Kelechukwu Augustine/Michael Williams 作词 : Khalif Brown/Aubrey Graham/K... -
R.I.C.O.
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The Motto
I'm the ****** man, you don't get it do ya Type of money everybody acting like they knew ya Go Uptown New York City Biii... -
Take Care (Gamper & Dadoni Remix)
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Too Good (A&G Remix) [Veronica Cover]
[by:后庭派对] [ti:] [ar:] [al:] [by:九九Lrc歌词网～www.99Lrc.net] I don't know how to talk to you I don't know how to ask you if y... -
In My Feelings
[by:小陀螺Tony] 作曲 : Aubrey Drake Graham/Benny Workman/Darius Harrison/Stephen Garret/James Scheffer/Rex Zamor/Dwayne Cart...


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