Cras justo odio, dapibus ac facilisis in, egestas eget quam. Fusce dapibus, tellus ac cursus commodo, tortor mauris condimentum nibh, ut fermentum massa justo sit amet risus.
In order to bring up back-end you just run
npm install
Project builds with all tests passing both on Linux and Windows. See respective badges in github repository. Builds are triggered by pull requests into [master].
If you want to run tests and see results, just go
(I have added mock for the oAuth.):
npm testto test eslint compliance*
npm run _eslintunit test coverage*
npm run _coverageoutput in JUnit style**
npm run _junit*) Should work both on Windows and Linux
Just run***:
npm run _integration***) tests assumes application is up on localhost
Donec id elit non mi porta gravida at eget metus. Maecenas faucibus mollis interdum.
Donec id elit non mi porta gravida at eget metus. Maecenas faucibus mollis interdum.


Utilities for simple manipulation and quick plotting of time series data. These utilities use the tframe package which provides a programming kernel for time series. Extensions to tframe provided in tframePlus can also be used. See the Guide vignette for examples.
| Version: | 2015.12-1 |
| Depends: | R (≥ 2.12.0), tframe |
| Imports: | stats, graphics, grDevices |
| Suggests: | googleVis |
| Enhances: | tframePlus |
| Published: | 2015-12-16 |
| Author: | Paul Gilbert |
| Maintainer: | Paul Gilbert <pgilbert.ttv9z at ncf.ca> |
| License: | GPL-2 |
| Copyright: | 1993-1996,1998-2011 Bank of Canada. 1997,2012-2014 Paul Gilbert |
| URL: | http://tsanalysis.r-forge.r-project.org/ |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | tfplot results |
| Reference manual: | tfplot.pdf |
| Vignettes: |
tfplot Guide |
| Package source: | tfplot_2015.12-1.tar.gz |
| Windows binaries: | r-devel: tfplot_2015.12-1.zip, r-release: tfplot_2015.12-1.zip, r-oldrel: tfplot_2015.12-1.zip |
| OS X binaries: | r-release: tfplot_2015.12-1.tgz, r-oldrel: tfplot_2015.12-1.tgz |
| Old sources: | tfplot archive |
| Reverse depends: | dse, EvalEst |
| Reverse imports: | TScompare, tsfa |
| Reverse suggests: | CDNmoney, tframePlus, TSdata, TSdbi, TSfame, TSmisc, TSMySQL, TSodbc, TSPostgreSQL, TSsdmx, TSsql, TSSQLite |
Please use the canonical form https://CRAN.R-project.org/package=tfplot to link to this page.


I am a curious guy who is interest is exploring new things,
searching for his ultimate interest(sounds confusing ikr).
I have knowledge of CP,DSA,Web Dev, Android dev
and also working on entrepreneurship and ML.
I like to play football and badminton and
I'm a good PC gamer too.
I am the person who lives to eat.
My dream to built a personal assistant
using Artificial Intelliengence
like J.A.R.V.I.S from Ironman .
only as software not hardware.
I know the use of Data structues, maths for competitive coding ,bit manipulation.In Data structures I'm well acquainted with use of Stacks, Queues, Linked lists,BST and a little of Graphs.
Web Dev is a compulsory skill everyone should have which was the reason I started this but later I found it to be most interesting topic i have studied till now.Currently I'm learning CSS,JS and Bootstrap.This website was made with help of bootstrap.Here's my other website made from scratch:
I always wanted to learn how apps work.During summer i got the golden chance to know it with the help of seniors via SMP.I learnt how to make basic layouts, linking two layouts, use of array adapters.Learning about android Dev was really fun,when the app made by me worked on my phone.But due to lack of time and Java knowledge I was not able to continue it on my own.
As much as enjoy doing techincal work ,I like doing Non-technical work too.Started from the beginning of college-life,I gained much experience in marketing and Entrepreneurship.I did ISTE Marketing SMP in Summer 2018 for far more depth in marketing world.Hoping to make my idea come true in the world in upcoming year.
It is my dream to build a personal assistant like J.A.R.V.I.S from Iron-man,The reason I started with ML.
Being a curious guy I wanted to know about the technical stuffs in CSE world, So I explored and learnt Python , OOPS,UNIX Command etc.I came to know python was slow and cannot be used in CP so,I left it.
CGPA: 7.51(August 2018)
One of my interest is trying something new.That's why i have explored so many platforms.I have played many physical and virtual games(pc).I like playing Football and Badmintion.I am experienced PC gamer.
I don't like outings but when it comes to food, I'll be the FIRST to go. I am the kind of person who "LIVES TO EAT".


This is the API
Get the list of all the process instances registered. No authentification is required.
http://<IP_ADDRESS>:8001/instances/
GET
Delete an already existing process instance. Authentification is required.
http://<IP_ADDRESS>:8001/instances/{id}/
DELETE
ID of the process instance
Get a single process instance. Authentification is required.
http://<IP_ADDRESS>:8001/instances/{id}/
GET
ID of the process instance
Modify an already existing process instance. Authentification is required.
http://<IP_ADDRESS>:8001/instances/{id}/
PATCH
ID of the process instance
Process instance
Redefine an already existing process instance. Authentification is required.
http://<IP_ADDRESS>:8001/instances/{id}/
PUT
ID of the process instance
Process instance
Register a new process instance. Authentification is required.
http://<IP_ADDRESS>:8001/instances/
POST
Process instance


This page is secured using Spring Boot, Spring Session, and Spring Security.
Your current session id is


Time Series Imputation¶
Imputations for time-series data.
-
impyute.imputation.ts.
locf
(data, axis=0)[source]¶ Last Observation Carried Forward
For each set of missing indices, use the value of one row before(same column). In the case that the missing value is the first row, look one row ahead instead. If this next row is also NaN, look to the next row. Repeat until you find a row in this column that’s not NaN. All the rows before will be filled with this value.
Parameters: - data: numpy.ndarray
Data to impute.
- axis: boolean (optional)
0 if time series is in row format (Ex. data[0][:] is 1st data point). 1 if time series is in col format (Ex. data[:][0] is 1st data point).
Returns: - numpy.ndarray
Imputed data.
-
impyute.imputation.ts.
moving_window
(data, nindex=None, wsize=5, errors='coerce', func=<function mean>, inplace=False, **kwargs)[source]¶ Interpolate the missing values based on nearby values.
For example, with an array like this:
- array([[-1.24940, -1.38673, -0.03214945, 0.08255145, -0.007415],
- [ 2.14662, 0.32758 , -0.82601414, 1.78124027, 0.873998], [-0.41400, -0.977629, nan, -1.39255344, 1.680435], [ 0.40975, 1.067599, 0.29152388, -1.70160145, -0.565226], [-0.54592, -1.126187, 2.04004377, 0.16664863, -0.010677]])
Using a k or window size of 3. The one missing value would be set to -1.18509122. The window operates on the horizontal axis.
Parameters: - data: numpy.ndarray
2D matrix to impute.
- nindex: int
Null index. Index of the null value inside the moving average window. Use cases: Say you wanted to make value skewed toward the left or right side. 0 would only take the average of values from the right and -1 would only take the average of values from the left
- wsize: int
Window size. Size of the moving average window/area of values being used for each local imputation. This number includes the missing value.
- errors: {“raise”, “coerce”, “ignore”}
Errors will occur with the indexing of the windows - for example if there is a nan at data[x][0] and nindex is set to -1 or there is a nan at data[x][-1] and nindex is set to 0. “raise” will raise an error, “coerce” will try again using an nindex set to the middle and “ignore” will just leave it as a nan.
- inplace: {True, False}
Whether to return a copy or run on the passed-in array
Returns: - numpy.ndarray
Imputed data.


_rch The larch tree was besmirched by the powerful blowtorch, leaving its soft, white birch-like bark charred and blackened.[G|D] The march of the matriarch at the lead of the monarch seemed to lurch forward as they advanced towards their destination.[G|D] The patriarch perched on his throne, high above the other oligarchs, as the parched desert sand shifted beneath his feet.[G|D] The porch was illuminated by a torch held aloft, as the scorching summer sun threatened to starch the fabric of the curtains.[G|D]


Thanks for filling out the survey!
We are just collecting this basic information temporarily, dont worry we wont save it.
{% for mess in get_flashed_messages() %}
×
{{mess}}
{% endfor %}
Success, you have entered the following info:
Name: {{ session["name"] }}
Student: {{ session["student"] }}
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Food Choice: {{ session["food_choice"] }}
Feedback: {{ session["feedback"] }}


Index
All Classes|All Packages
E
- ensureNonEmptyString(String, String) - Static method in class io.github.teamdonut.proj.utils.DataValidation
- ensureObjectNotNull(String, Object) - Static method in class io.github.teamdonut.proj.utils.DataValidation
- equals(Object) - Method in class io.github.teamdonut.proj.common.Board
-
Checks whether or not a Board object has the same size and state as another Board object.
- equals(Object) - Method in class io.github.teamdonut.proj.common.BoardUI.UserSelectionData
-
Indicates whether some other object is "equal to" this one.
- equals(Object) - Method in class io.github.teamdonut.proj.common.Player
-
Checks the equality of two Player objects.
- equals(Object) - Method in class io.github.teamdonut.proj.common.Player.MoveInfo
- equals(Object) - Method in class io.github.teamdonut.proj.controllers.GameController.Results
- equals(Object) - Method in class io.github.teamdonut.proj.PlayerType.IPlayerType.BoardMoveInfo
-
This method will override the equals method of the object and will check if two instances of the BoardMoveInfo classes are equal
- equals(Object) - Method in class io.github.teamdonut.proj.PlayerType.NPCEasyMode
-
Indicates whether some other object is "equal to" this one.
- equalsTest() - Method in class io.github.teamdonut.proj.BoardTest
- equalsTest() - Method in class io.github.teamdonut.proj.PlayerTest
-
Tests the equality of two Player objects
- evaluate(Board, int) - Method in class io.github.teamdonut.proj.PlayerType.NPCHardMode
-
Returns the numerical win/loss status of the current board.
- evaluateBoardTest() - Method in class io.github.teamdonut.proj.NPCHardModeTest
-
Test the evaluation method for the Homi-Mode AI.
- EventManager - Class in io.github.teamdonut.proj.listener
-
Manages all Subjects and there subscribed Observers
- EventSounds - Class in io.github.teamdonut.sounds
-
Sound effect handler
All Classes|All Packages


{% extends "main/base.html" %} {% block content %}
Please pick your Server to continue...
Whisperwind (PVE)
Karazhan (PVE, Mythic)
Lightbringer (PVE, Modded)
Northshire Valley (PVE, Beginner)
Daggerspine (PVP)
SCREENSHOTS!


--- layout: page title: Raffle menu-top: true menu-top-pos: 6 permalink: /raffle/ js: ['/js/raffle.js'] --- {% include breadcrumb.html item1_url=page.url item1_title=page.title item1_last=true %}
At the end of each meeting, there are prizes raffled off. This page helps us perform the raffle.


Continue to Advanced CartoDB Workhop for Data Journalists: http://bit.ly/adv-cdb-jpd16
CartoDB supports the following geospatial data formats to upload vector data:
Shapefile
: a shapefile has to be formed, at least, by a .shp
file, a .shx
file, a .prj
file and a .dbf
file. These files contain the geometry data, the indexes, the projection information and the attributes, respectively. Shapefiles must be imported as a single compressed file, in the .zip
or .gz
format. Limitations:
KML
: the KML format is a XML based format which adds to it a geographical meaning by being able to define features such as points, polygons or lines in the EPSG 4326 projection.
KMZ
: a Keyhole Markup language Zipped (KMZ) file corresponds to a compressed file, including a KML file and zero, or more, supporting files (images, icons, overlays or other elements referenced in the KML file).
GeoJSON
: the GeoJSON format is an extension of the JavaScript Object Notation (JSON) that encodes geographical features and their metadata. More detailed information about GeoJSON format here.
CSV
: Comma-Separated Values (or TSV, Tab-Separated Values) files can be imported to CartoDB. Limitations:
"example"
)."Null Island", "{""type"": ""Point"", ""coordinates"": [0,0]}"
).Spreedsheets
: spreadsheets such as Excel spreadsheets, OpenDocument spreadsheets or Google Drive spreadsheets are supported by CartoDB. Limitations:
GPX
: the GPX (GPS Exchange Format) files are XML documents that contain waypoints, tracks and/or routes. When importing a GPX file, CartoDB will generate different datasets for points, tracks and waypoints. The resulting names of these datasets will be a combination of the GPX name and their type: _track_points
, _tracks
, and _waypoints
, respectively.
OSM
: CartoDB supports importing Open Street Map dumps (.osm
files). These files are XML documents that have a osm
parent element that can contain blocks of nodes, ways, or relations representing points, lines or polygons. CartoDB will automatically separate OSM dumps into different tables, depending on the geometry. Therefore, importing a single OSM file can lead to more than one resulting dataset.*Importing different geometry types in the same layer or in a FeatureCollection element (GeoJSON) is not supported. More detailed information here.
Save with Encoding
> UTF-8 with BOM
in Sublime Text.
.shp
: contains the geometry. REQUIRED..shx
: contains the shape index. REQUIRED..prj
: contains the projection. REQUIRED..dbf
: contains the attributes. REQUIRED..sbn
, .sbx
or .shp.xml
are not REQUIRED.id
keyword.
example.CSV
is not supported by CartoDB.Other importing errors and their codes can be found here.
If you have a column with longitude coordinates and another with latitude coordinates, CartoDB will automatically detect and covert values into the_geom
. If this is not the case, CartoDB can help you by turning the named places into best guess of latitude-longitude coordinates:
Know more about geocoding in CartoDB:
ne_10m_populated_places_simple
]: City and town points.ne_adm0_europe
]: European countries geometries (used in the next workshop).world_borders
]: World countries borders.sql
SELECT
*
FROM
ne_10m_populated_places_simple;
sql
SELECT
cartodb_id,
name as city,
adm1name as region,
adm0name as country,
pop_max,
pop_min
FROM
ne_10m_populated_places_simple
sql
SELECT DISTINCT
adm0name as country
FROM
ne_10m_populated_places_simple
sql
SELECT
*
FROM
ne_10m_populated_places_simple
WHERE
pop_max > 5000000;
sql
SELECT
*
FROM
ne_10m_populated_places_simple
WHERE
adm0name ilike 'spain'
sql
SELECT
*
FROM
ne_10m_populated_places_simple
WHERE
name in ('Madrid', 'Barcelona')
AND
adm0name ilike 'spain'
sql
SELECT
*
FROM
ne_10m_populated_places_simple
WHERE
name in ('Madrid', 'Barcelona')
AND
adm0name ilike 'spain'
AND
pop_max > 5000000
sql
SELECT
count(*) as total_rows
FROM
ne_10m_populated_places_simple
sql
SELECT
sum(pop_max) as total_pop_spain
FROM
ne_10m_populated_places_simple
WHERE
adm0name ilike 'spain'
sql
SELECT
avg(pop_max) as avg_pop_spain
FROM
ne_10m_populated_places_simple
WHERE
adm0name ilike 'spain'
sql
SELECT
cartodb_id,
name as city,
adm1name as region,
adm0name as country,
pop_max
FROM
ne_10m_populated_places_simple
WHERE
adm0name ilike 'spain'
ORDER BY
pop_max DESC
sql
SELECT
cartodb_id,
name as city,
adm1name as region,
adm0name as country,
pop_max
FROM
ne_10m_populated_places_simple
WHERE
adm0name ilike 'spain'
ORDER BY
pop_max DESC LIMIT 10
Analyzing your dataset… In some cases, when you connect a dataset and click on the MAP VIEW for the first time, the Analyzing dataset dialog appears. This analytical tool analyzes the data in each column, predicts how to visualize this data, and offers you snapshots of the visualized maps. You can select one of the possible map styles, or ignore the analyzing dataset suggestions.
Before making a choropleth map, we need to normalize our target column. So we are going to create two new columns with numeric
as data type: new_area
and po_norm
. Finally, run the following SQL queries to update their values:
sql
UPDATE
world_borders
SET
new_area = round(st_area(the_geom)::numeric, 6)
sql
UPDATE
world_borders
SET
pop_norm = pop2005 / new_area
Link to the #jpd16 tweets map.
Know more about chosing the right map to make here.
```css /** simple visualization */
polygon-fill: #FF6600; polygon-opacity: 0.7; line-color: #FFF; line-width: 0.5; line-opacity: 1; } ```
```css /** cluster visualization */
marker-width: 12; marker-fill: #FD8D3C; marker-line-width: 1.5; marker-fill-opacity: 1; marker-line-opacity: 1; marker-line-color: #fff; marker-allow-overlap: true;
[src = ‘bucketC’] { marker-line-width: 5; marker-width: 24; }
[src = ‘bucketB’] { marker-line-width: 5; marker-width: 44; }
[src = ‘bucketA’] { marker-line-width: 5; marker-width: 64; } }
text-size: 0; text-fill: #fff; text-opacity: 0.8; text-name: [points_count]; text-face-name: ‘DejaVu Sans Book’; text-halo-fill: #FFF; text-halo-radius: 0;
[src = ‘bucketC’] { text-size: 12; text-halo-radius: 0.5; }
[src = ‘bucketB’] { text-size: 17; text-halo-radius: 0.5; }
[src = ‘bucketA’] { text-size: 22; text-halo-radius: 0.5; }
text-allow-overlap: true;
[zoom>11]{ text-size: 16; } [points_count = 1]{ text-size: 0; } } ```
```css /** choropleth visualization */
polygon-fill: #FFFFB2; polygon-opacity: 0.8; line-color: #FFF; line-width: 0.5; line-opacity: 1; } #world_borders [ pop_norm <= 247992435.530086] { polygon-fill: #B10026; } #world_borders [ pop_norm <= 4086677.23673585] { polygon-fill: #E31A1C; } #world_borders [ pop_norm <= 1538732.3943662] { polygon-fill: #FC4E2A; } #world_borders [ pop_norm <=<PHONE_NUMBER>42489] { polygon-fill: #FD8D3C; } #world_borders [ pop_norm <=<PHONE_NUMBER>34902] { polygon-fill: #FEB24C; } #world_borders [ pop_norm <=<PHONE_NUMBER>58792] { polygon-fill: #FED976; } #world_borders [ pop_norm <= 95044.5589361554] { polygon-fill: #FFFFB2; } ```
```css /** category visualization */
polygon-opacity: 0.7; line-color: #FFF; line-width: 0.5; line-opacity: 1; }
polygon-fill: #A6CEE3; } #world_borders[region=142] { polygon-fill: #1F78B4; } #world_borders[region=150] { polygon-fill: #B2DF8A; } #world_borders[region=19] { polygon-fill: #33A02C; } #world_borders[region=2] { polygon-fill: #FB9A99; } #world_borders[region=9] { polygon-fill: #E31A1C; } ```
```css /** bubble visualization */
marker-fill-opacity: 0.9; marker-line-color: #FFF; marker-line-width: 1; marker-line-opacity: 1; marker-placement: point; marker-multi-policy: largest; marker-type: ellipse; marker-fill: #FF5C00; marker-allow-overlap: true; marker-clip: false; } #populated_places [ pop_max <= 35676000] { marker-width: 25.0; } #populated_places [ pop_max <= 674394] { marker-width: 23.3; } #populated_places [ pop_max <= 299987.5] { marker-width: 21.7; } #populated_places [ pop_max <= 175972.5] { marker-width: 20.0; } #populated_places [ pop_max <= 111015.5] { marker-width: 18.3; } #populated_places [ pop_max <= 72387.5] { marker-width: 16.7; } #populated_places [ pop_max <= 47570.5] { marker-width: 15.0; } #populated_places [ pop_max <= 29588] { marker-width: 13.3; } #populated_places [ pop_max <= 15534] { marker-width: 11.7; } #populated_places [ pop_max <= 5500] { marker-width: 10.0; } ```
```css /** torque visualization */
Map { -torque-frame-count:128; -torque-animation-duration:30; -torque-time-attribute:”postedtime”; -torque-aggregation-function:”count(cartodb_id)”; -torque-resolution:2; -torque-data-aggregation:linear; }
comp-op: lighter; marker-fill-opacity: 0.9; marker-line-color: #FFF; marker-line-width: 0; marker-line-opacity: 1; marker-type: ellipse; marker-width: 6; marker-fill: #3E7BB6; } #twitter_jpd16[frame-offset=1] { marker-width:8; marker-fill-opacity:0.45; } #twitter_jpd16[frame-offset=2] { marker-width:10; marker-fill-opacity:0.225; } ```
```css /** torque_heat visualization */
Map { -torque-frame-count:1; -torque-animation-duration:10; -torque-time-attribute:”cartodb_id”; -torque-aggregation-function:”count(cartodb_id)”; -torque-resolution:8; -torque-data-aggregation:linear; }
image-filters: colorize-alpha(blue, cyan, lightgreen, yellow , orange, red); marker-file: url(http://s3.amazonaws.com/com.cartodb.assets.static/alphamarker.png); marker-fill-opacity: 0.4*[value]; marker-width: 35; } #populated_places[frame-offset=1] { marker-width:37; marker-fill-opacity:0.2; } #populated_places[frame-offset=2] { marker-width:39; marker-fill-opacity:0.1; } ```
```css /** torque_cat visualization */
Map { -torque-frame-count:256; -torque-animation-duration:30; -torque-time-attribute:”postedtime”; -torque-aggregation-function:”CDB_Math_Mode(torque_category)”; -torque-resolution:2; -torque-data-aggregation:linear; }
comp-op: source-over; marker-fill-opacity: 0.9; marker-line-color: #FFF; marker-line-width: 0; marker-line-opacity: 1; marker-type: ellipse; marker-width: 6; marker-fill: #0F3B82; } #twitter_jpd16[frame-offset=1] { marker-width:8; marker-fill-opacity:0.45; } #twitter_jpd16[frame-offset=2] { marker-width:10; marker-fill-opacity:0.225; } #twitter_jpd16[value=1] { marker-fill: #A6CEE3; } #twitter_jpd16[value=2] { marker-fill: #1F78B4; } #twitter_jpd16[value=3] { marker-fill: #B2DF8A; } #twitter_jpd16[value=4] { marker-fill: #33A02C; } #twitter_jpd16[value=5] { marker-fill: #FB9A99; } #twitter_jpd16[value=6] { marker-fill: #E31A1C; } #twitter_jpd16[value=7] { marker-fill: #FDBF6F; } ```
```css /** intensity visualization */
marker-fill: #FFCC00; marker-width: 10; marker-line-color: #FFF; marker-line-width: 1; marker-line-opacity: 1; marker-fill-opacity: 0.9; marker-comp-op: multiply; marker-type: ellipse; marker-placement: point; marker-allow-overlap: true; marker-clip: false; marker-multi-policy: largest; } ```
```css /** density visualization */
polygon-fill: #BD0026; polygon-opacity: 0.8; line-color: #FFF; line-width: 0.5; line-opacity: 1; } #populated_places{ [points_density <= 5.57148800914519e-10] { polygon-fill: #BD0026; } [points_density <= 9.28581334857531e-11] { polygon-fill: #F03B20; } [points_density <= 4.64290667428765e-11] { polygon-fill: #FD8D3C; } [points_density <= 4.64290667428765e-11] { polygon-fill: #FECC5C; } [points_density <= 4.64290667428765e-11] { polygon-fill: #FFFFB2; }
} ```
```css /** category visualization */
marker-fill-opacity: 0.9; marker-line-color: #FFF; marker-line-width: 1; marker-line-opacity: 1; marker-placement: point; marker-type: ellipse; marker-width: 10; marker-allow-overlap: true; }
marker-fill: #A6CEE3; } #populated_places[adm0name=”Australia”] { marker-fill: #1F78B4; } #populated_places[adm0name=”Brazil”] { marker-fill: #B2DF8A; } #populated_places[adm0name=”Canada”] { marker-fill: #33A02C; } #populated_places[adm0name=”China”] { marker-fill: #FB9A99; } #populated_places[adm0name=”India”] { marker-fill: #E31A1C; } #populated_places[adm0name=”Indonesia”] { marker-fill: #FDBF6F; } #populated_places[adm0name=”Mexico”] { marker-fill: #FF7F00; } #populated_places[adm0name=”Russia”] { marker-fill: #CAB2D6; } #populated_places[adm0name=”United States of America”] { marker-fill: #6A3D9A; } #populated_places { marker-fill: #DDDDDD; }
/** bubble visualization */
marker-fill-opacity: 0.9; marker-line-color: #FFF; marker-line-width: 1; marker-line-opacity: 1; marker-placement: point; marker-multi-policy: largest; marker-type: ellipse; marker-fill: #808080; marker-allow-overlap: true; marker-clip: false; } #populated_places [ pop_max <= 35676000] { marker-width: 25.0; } #populated_places [ pop_max <= 674394] { marker-width: 23.3; } #populated_places [ pop_max <= 299987.5] { marker-width: 21.7; } #populated_places [ pop_max <= 175972.5] { marker-width: 20.0; } #populated_places [ pop_max <= 111015.5] { marker-width: 18.3; } #populated_places [ pop_max <= 72387.5] { marker-width: 16.7; } #populated_places [ pop_max <= 47570.5] { marker-width: 15.0; } #populated_places [ pop_max <= 29588] { marker-width: 13.3; } #populated_places [ pop_max <= 15534] { marker-width: 11.7; } #populated_places [ pop_max <= 5500] { marker-width: 10.0; } ```
Know more about CartoCSS with our documentation.
```html
```
css
#world_borders::labels {
text-name: [name];
text-face-name: 'DejaVu Sans Book';
text-size: 10;
text-label-position-tolerance: 10;
text-fill: #000;
text-halo-fill: #FFF;
text-halo-radius: 1;
text-dy: -10;
text-allow-overlap: true;
text-placement: point;
text-placement-type: simple;
}
```html
```
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Event Location:
Háskólinn í Reykjavík
Menntavegur 1
Reykjavík, Gullbringusysla, Iceland
Abstract:
It seems like that every month we hear about another company having a major data breach. GDPR raises the stakes with huge fines for those that lose or don't keep data safe. Ensuring that your data is secure has become more important than ever. With this in mind, in SQL Server 2016, Microsoft gave us three new features that have the potential to improve the security of your SQL database, either on premises or in the cloud. These are: Dynamic Data Masking which allows us to obfuscate data in real time Always Encrypted which helps protect data both at rest and in motion with a master key Row Level Security that gives us control over who can see which rows in a table based on the user's rights In this session we will have an overview of these important security features and demos on how to configure them and make them work.
Speaker(s): David Postlethwaite,
Abstract:
Docker has taken the world of IT by storm and looks to be ushering in the greatest platform paradigm shift since virtualisation and the public cloud. The transient nature of Docker containers makes them the perfect fit for spinning up and then tearing down SQL Server instances as part of continuous integration pipelines. Jenkins is the most popular build automation engine in the open source community, it has phenomenal plugin support, it is used by the likes of Netflix and eBay and excels in its ability to handle build pipelines as code. In this session you will learn how a simple build pipeline that takes a SQL Server data tools project checked out from source code control, built into a DACPAC which is then deployed to a SQL Server instance can be extended to use containers, multi-branch build pipelines, tSQt testing and much much more.
Speaker(s): Christopher Adkin,
Abstract:
SQL (the language) is not a third generation language, where the developer tells the computer every step it needs to take. It is a declarative language that specifies the required results. SQL Server itself will figure out what steps it takes to get to those results. Most of the time, that works very well. But sometimes it doesn't. Sometimes a query takes too much time. You need to find out why, so you can fix it. That's where the execution plan comes in. In the execution plan, SQL Server exposes exactly which steps it took for your query, so you can see why it's slow. However, execution plans can be daunting to the uninitiated. Especially for complex queries. Where do you even start? In this session you will learn how to obtain execution plans. and how to start reading and understanding them.
Speaker(s): Hugo Kornelis,
Abstract:
User-defined functions in SQL Server are very much like custom methods and properties in .Net languages. At first sight, they seem to be the perfect tool to introduce code encapsulation and reuse in T-SQL. So why is this feature mostly avoided by all T-SQL gurus? The reason is performance. In this session, you will learn how user-defined functions feed the optimizer with misleading and insufficient information, how the optimizer fails to use even what little information it has, and how this can lead to shocking query performance. However, you will also see that there is a way to avoid the problems. With just a little extra effort, you can reap the benefits of code encapsulation and reuse, and still get good performance.
Speaker(s): Hugo Kornelis,
Abstract:
“Is something going on with the SQL Server right now?” You hear those words, and your heart starts to race a little faster. You try to connect to the SQL Server, and it responds, but you can tell it’s a little slow. You open up Activity Monitor, look at recent expensive queries, and maybe open up the Windows event logs to see if anything’s happened recently. There’s gotta be a better way, right? Good news – there is, and you’re about to learn how the pros do it. In one all-demo session, you’ll watch Brent Ozar use sp_WhoIsActive, sp_BlitzFirst, and sp_BlitzCache to solve several common emergencies. You’ll walk away with a written checklist to solve typical performance emergencies.
Speaker(s): Brent Ozar,
Abstract:
Data Quality is one of those things that we don't pay attention to until it comes and bites us, and when it does, its usually a customer that notices it. As always, the poor beleaguered dev/database guys pay the price and work long hours and over the weekend to track things down and sort things out. In the good old days we could rely on things like MS Data Quality Services to come to the rescue, however, now we operate in the cloud with a mixture of Vendor products, database types and at different scale, so what are the options open to us, especially on a limited budget? This session will examine using basic Data Science and AI techniques along with open source solutions and tools, to help improve your data quality, no matter the format of the data and where it is stored. It will also demonstrate a new Open Source Data Validation/Quality toolkit Allen is developing that runs naively in the cloud for both data at rest and live streaming data at rest and live streaming data in moti
Speaker(s): Allen ONeill,
Abstract:
Azure DataBricks brings a PaaS offering of Apache Spark, which allows for blazing fast data processing, interactive querying and hosting of ML models all in one place! Most of the buzz is around Data Science AI - what about the humble data engineer who wants to harness the in-memory processing power within their ETL pipelines? This session focuses on Azure DataBricks as your data ingestion, transformation and curation tool of choice. We will: • Introduce the DataBricks service why we use Python • Discuss the hosting compute options available • Demonstrate a sample data processing task • Compare against alternative approaches using SSIS, U-SQL and HDInsight • Demonstrate pipeline management orchestration • Review the wider architectures and extension patterns • Compare and contrast to new Azure Data Factory Data Flows The session is aimed at Data Engineers seeking to put the Azure DataBricks technology in the right context and learn how to use the service. We will not
Speaker(s): Simon Whiteley,
Abstract:
Pop quiz DBA: Your developers are running rampant in production. Logic, reason, and threats have all failed. You're on the edge. What do you do?  Hint: You attend Revenge: The SQL! This session will show you how to "correct" all those bad practices. Everyone logging in as sa? Running huge cursors? Using SELECT * in ad-hoc SQL? Stop them dead, without actually killing them. Ever dropped a table, or database, or WHERE clause? You can prevent that! And if you’re tired of folks ignoring your naming conventions, make them behave with Unicode…and take your revenge! Revenge: The SQL! is fun and educational and may even have some practical use, but you’ll want to attend simply to indulge your Dark Side. Revenge: The SQL! assumes no liability and is not available in all 50 states. Do not taunt Revenge: The SQL! or Happy Fun Ball.
Speaker(s): Rob Volk,
Abstract:
Power BI started out as a set of Self-Service BI tools in Excel and has now been merged into Power BI Desktop with the possibility to deploy reports to the Power BI cloud service. At the same time Power BI has become a grownup Corporate BI platform. This session will give you the full overview of all the different ways to bring and use Power BI in the enterprise including how to setup content workflow, security, auditing and governance. The session will cover on-premises only and hybrid scenarios and how to combine Self-Service BI with Enterprise Reporting with the benefit of both control and agility. The session is build from experience from implementing Power BI in several large Danish enterprises
Speaker(s): Just Blindbaek,
Abstract:
Azure is ready to receive all your event and device data for storage and analysis. But which options in the Azure message handling portfolio should you use to receive and manage your data? In this session I will explain the different options, take a closer look at how they work and what this means for you. Furthermore, I will take a closer look at the Azure Stream Analytics (ASA) language. You will learn how to develop both simple and complex ASA queries, and how to debug. We will look at the possibilities, limitations and pitfalls in the Azure Stream Analytics language. And finally, look at the different input and output choices and when to use which one. This includes a look at how to build a live stream dashboard with Stream Analytics data in PowerBI. The session is based on real world project experiences and will use real world data in the demos.
Speaker(s): Johan Ludvig Brattås,
Abstract:
Extended Events, Dynamic Management Views, and Query Store are highly useful tools that give you a lot of data when analyzing performance problems. The challenge is which tool to use for which problems and how to correlate the data.  You have data from Extended Events, you are looking in the execution related DMVs, and now you are trying to find the query in Query Store. How do you put it all together? In this session, we will look at how the tools work in different scenarios, how to correlate the data, and how you can use them in your performance troubleshooting.
Speaker(s): Ola Hallengren,
Abstract:
Running SQL Server in containers has huge benefits for Data Platform professionals but there are challenges to running SQL Server in stand alone containers. Orchestrators provide a platform and the tools to overcome these challenges. This session will provide an overview of running SQL Server in Kubernetes, which is the leading orchestrator. Topics covered will be: - An overview of Kubernetes. Definition of deployments, pods, and services. Deploying SQL Server containers to Kubernetes. Persisting data for SQL Server in Kubernetes. This session is aimed at SQL Server DBAs and Developers who want to learn the what, the why, and the how to run SQL Server in Kubernetes.
Speaker(s): Andrew Pruski,
Abstract:
On the current Microsoft Data Platform we have several options to move our data to the cloud. However, finding the right fit for your environment is not that straightforward. During this session, we will be showing you all the options you have for choosing your own cloud data strategy. We will be handling Azure SQL databases, Azure Managed Instances, Azure VM’S and hybrid solutions. We will show you what options you have and how you can move your on-prem systems to the cloud. After this session you will be ready to start moving your environment to the cloud in an efficient manner.
Speaker(s): Stijn Wynants,
Abstract:
Working as a DBA, I came across some creepy things in what comes to database user (abusive) rights! From users that were database owners, simply because they had to be able to truncate tables and read/write data to users that were Sysadmin because they needed to Bulk Insert into one table in one database!!!! Yes... Creepy things as I said! This is a very sensitive and (sadly) common issue, so in this session I'll be speaking about Permissions Management and demonstrate how we can address it in the best way, i.e. giving the necessary permissions without incurring into the risk of compromising the security of an entire database or SQL Server instance! I will also show how easily this can be done ;)
Speaker(s): Etienne Lopes,
Abstract:
Dataflows are an important new data preparation and loading feature in Power BI. In this session you will learn: • What dataflows are and when you might want to use them • The advantages and disadvantages of using them over Power BI Desktop's data loading features • Configuring incremental refresh • Additional features available in Power BI Premium • Integration with Azure Data Lake Store, the Common Data Model, AI-related services and other Microsoft services
Speaker(s): Chris Webb,
Abstract:
This session will cover the basics of dynamic SQL; how, why and when you may wish to use it with demos of use cases and scenarios where it can really save the day (trying to perform a search with a variable number of optional search terms, anyone?). We will also cover the performance and security impacts touching on the effect on query plans, index usage and security (SQL injection!) along with some best practices.
Speaker(s): Joanna Wolthuis,
Abstract:
This session will begin, with a high level introduction to Azure Internet of Things, Windows 10 Core and Raspberry PI. Once we have established the basics about the technology, we will be connecting the dots with a live demo on some of the parts. The focus during the demo, will mainly be on Azure IoT Hub, Windows 10 Core and the Raspberry PI and how to DIY. As visualization we will be using Power BI to present the data. This session is not for the Enterprise rather has a more DIY approach.
Speaker(s): Jens Vestergaard,
Abstract:
Deploying In-Memory OLTP affects the database ecosystem, including monitoring, data migration, logging, capacity planning, backup, restore, recovery, and more. DBAs need to know optimal methods of migrating large data sets from disk to In-Memory, the differences between restore and recovery for memory-optimized databases, and many other facets of the In-Memory world. Attendees will gain a clear understanding of the knowledge and skills required to administer In-Memory OLTP environments.
Speaker(s): Ned Otter,
Abstract:
Aure Data Lake is an umbrella term consisting of multiple Azure services, most notably Azure Data Lake Store and Azure Data Lake Analytics. As the name implies, these services are built for big data processing purposes. During this session, you will gain the understanding of the use cases you should consider using these in particular. I will introduce both Data Lake Store and Data Lake Analytics, and how they have been built under the hood. In addition, I will do a couple of demos to show you how you actually can get started with them.
Speaker(s): Oskari Heikkinen,
Abstract:
How can you bring your existing on prime data warehouse and reporting into the cloud? That is precisely what the question was more than a year ago. The aim was to use everything as a service. Azure offers many possibilities with Azuer SQL DB / Azuer SQL DW / Azure Data Factory / Logic Apps / Streamanalytics / Power BI. Now, after more than a year in live operation, a short summary and evaluation on the subject of BI in Azure.
Speaker(s): Alexander Klein,
Abstract:
Learn how to leverage the latest SQL and .Net Core offerings to develop and deploy low-cost (including potentially license free), effective back-end application services on contemporary Linux platforms. This session will provide an overview of challenges and opportunities, notably including: - migrating existing SQL databases to Linux platforms - working with Entity Framework (EF) Core - simplified webAPI development on .Net Core with EF Core and SQL
Speaker(s): Peter Willmot,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
Contact: https://sqland.wordpress.com
Etienne Lopes currently works as a SQL Server DBA at Celfinet. Working with SQL Server since 1997, member of sqlport community (www.sqlport.com), regular speaker since 2012 at SQL Server events such as: SQL Saturday and 24 Hours of Pass. Blog: http://sqland.wordpress.com/
LinkedIn: https://www.linkedin.com/in/oskariheikkinen/
I have several years of experience in using Azure for data analytics at large scale. I have been implementing numerous projects for some of the largest companies in the Nordics. I am a Microsoft MVP, and I currently hold the MCSE: Data Management and Analytics certification. As a Microsoft Certified Trainer (MCT), I hold classes for subject-matter experts and consultants internally as well as give external customer training sessions. I am also an active speaker on community events.
LinkedIn: http://nl.linkedin.com/in/hugokornelis
Contact: http://sqlblog.com/blogs/hugo_kornelis/default.aspx
Hugo Kornelis is an established SQL Server community expert who spends a lot of time at various conferences. He is author of "the Execution Plan Reference" (sqlserverfast.com/epr), blogger, technical editor of Grant Fritchey's "SQL Server Execution Plans, 3rd edition" and some other books, and Pluralsight author. He was awarded SQL Server MVP and Data Platform MVP 12 times (2006 - 2016, and 2019-present). When not working for the community, he is busy at his day job: freelance database developer/consultant. Hugo has over 20 years of SQL Server experience in various roles. He loves to write and tune complex queries, but he also has a strong database design background. When not working for the community, he is busy at his day job: freelance database developer/consultant. Hugo has over 20 years of SQL Server experience in various roles. He loves to write and tune complex queries, but he also has a strong database design background.
LinkedIn: http://www.linkedin.com/profile/view?id=5113407
Contact: http://blog.justb.dk
Independent BI consultant with extensive experience in all phases of BI development on Microsoft SQL Server, Azure and Power BI. Founder and coordinator of Microsoft Business Intelligence Professionals Denmark (MsBIP.dk) and Power BI UG Denmark (PowerBI.dk). Is a Microsoft Certified Trainer at Orange Man.
LinkedIn: https://www.linkedin.com/in/ned-otter-3627b712
Contact: http://www.nedotter.com
DBA with vast experience administering Microsoft SQL Server since version 4.21 to the present. Certifications: MCSE SQL Server 2012 Data Platform MCTS SQL Server 2008 Overall computer experience: 25 years SQL Server experience: 23 years Currently obsessed with In-Memory technology. Please see LinkedIn profile for more details.
LinkedIn: https://www.linkedin.com/in/chriswebb6/
Contact: https://blog.crossjoin.co.uk/
Chris Webb is a member of the Power BI CAT team. He is the author of "Power Query for Power BI and Excel" and a co-author of "SQL Server Analysis Services 2012: The BISM Tabular Model", "Expert Cube Development with SQL Server 2008 Analysis Services", and "MDX Solutions with Microsoft SQL Server Analysis Services 2005 and Hyperion Essbase".
LinkedIn: https://www.linkedin.com/in/olahallengren
Contact: https://ola.hallengren.com
Ola Hallengren is a database architect from Sweden. Currently he's working in an investment bank in Copenhagen. Ola is the author of the popular maintenance solution at https://ola.hallengren.com and a Microsoft MVP.
LinkedIn: https://www.linkedin.com/in/brentozar
Contact: https://www.BrentOzar.com
Brent Ozar loves to make SQL Server faster. He created sp_Blitz and the SQL Server First Responder Kit. He shares what he's learned at BrentOzar.com.
LinkedIn: https://www.linkedin.com/in/rob-volk-134ba81
Contact: http://weblogs.sqlteam.com/robv/
Rob Volk is a SQL Server DBA in the Metro Atlanta area since 2001. He also moderates and answers the forums on SQLTeam.com. While an old-time cranky DBA, he no longer considers quot;business intelligencequot; an oxymoron or quot;the cloudquot; as merely atmospheric moisture, and is delightedly dipping his toes into both of these new oceans, and loves to do things in new and and unusual ways.
LinkedIn: http://www.linkedin.com/in/alexander-klein-13a04b3a
Alexander Klein is a senior Business Intelligence consultant with more than 15 years of experience. He focuses on Business Intelligence and Data Warehouse projects with Microsoft technologies like SQL Server, Power BI, Azure ML or Cortana Intelligence. Since 2008, he has been a self-employed consultant in large and medium-sized projects in all sectors across Europe. He has been visiting SQL Saturdays and other Data Conference all over Europe since 2013. Speaker at national and international events since 2017.
LinkedIn: https://www.linkedin.com/in/joannawolthuis/
Joanna Wolthuis is an independent contractor specialising in T-SQL database development and reporting using SSRS and Excel based solutions for the last 8 years. She is passionate about data and learning everything about anything. Aside from SQL Joanna enjoys traveling, nice food and attempting to be an acrobat (not at the same time!).
LinkedIn: http://nl.linkedin.com/in/hugokornelis
Contact: http://sqlblog.com/blogs/hugo_kornelis/default.aspx
Hugo Kornelis is an established SQL Server community expert who spends a lot of time at various conferences. He is author of "the Execution Plan Reference" (sqlserverfast.com/epr), blogger, technical editor of Grant Fritchey's "SQL Server Execution Plans, 3rd edition" and some other books, and Pluralsight author. He was awarded SQL Server MVP and Data Platform MVP 12 times (2006 - 2016, and 2019-present). When not working for the community, he is busy at his day job: freelance database developer/consultant. Hugo has over 20 years of SQL Server experience in various roles. He loves to write and tune complex queries, but he also has a strong database design background. When not working for the community, he is busy at his day job: freelance database developer/consultant. Hugo has over 20 years of SQL Server experience in various roles. He loves to write and tune complex queries, but he also has a strong database design background.
LinkedIn: https://www.linkedin.com/in/stijn-wynants-ba528660?trk=hp-identity-name
Contact: http://swyssql.wordpress.com
Stijn is a Microsoft Premier Field Engineer on Data AI and a DataMinds core member. He is also one of the organizers of the local user group sessions the yearly event called DataMinds Connect (SQL Server Days). He is a speaker at various international events (SQL Saturday,PASS Summit,Difinity,...). He spends his days tuning SQL Servers solving problems with the full data platform. His focus is primarily on sql server core, but has also done various BI ETL projects. He gets his kicks out of Columnstore indexes tuning queries but shivers at the sight of an SSAS cube. When Stijn is not working with SQL Server, you can probably find him enjoying the local cuisine local beers or enjoying time with his wife and his dog.
LinkedIn: https://www.linkedin.com/in/andrewpruski
Contact: https://dbafromthecold.com/
SQL Server DBA with over 10 year's experience. Originally from Wales but now living in Ireland
LinkedIn: http://www.linkedin.com/in/davidpostlethwaite
Contact: http://www.gethynellis.com/
David Postlethwaite has been a DBA for Liverpool Victoria in Bournemouth, England since 2008 He supports both Oracle and SQL Server from 2000 to 2017, DBMS, SSIS, SSAS and Reporting Services. In 2015 David built and deployed the company's first cloud solution using Microsoft Azure SQL Database and web services Before becoming a DBA David was a .NET developer and way back in history a Windows and Netware administrator. He is an occasional blogger on www.gethynellis.com David is a regular speaker for SQL Saturday. Most of his presentations can be found on his YouTube channel www.youtube.com/c/DavidPostlethwaiteSQL
Contact: https://www.c-sharpcorner.com/members/allen-oneill
Allen is a Chartered Engineer, Microsoft MVP, and Fellow of the British Computing Society. His current obsessions are IoT, Big Data and Machine Learning. He specialises in systems architecture, digital transformation and scaling for big data, and is currently completing a Masters in AI. In his spare time (lol!)  He speaks and shares his knowledge wherever folk will listen, and writes for CodeProject, CSharp Corner and DZone. Aware of his privilege, as a white male in the tech world, Allen is concerned about diversity, equality inclusion in tech and would love to talk to you about practical ways to address the imbalance – please ask
Peter has been writing software (and teaching folk how to write software) for over 30 years. He has worked with SQL Server as an architect and developer for more than 20 years (since SQL 4.2) and has also worked extensively with the .Net and various other development platforms. Peter is a past MSDN Regional Director and was also an MVP (SQL Server and Architecture) for many years. He is a passionate and regular speaker and various industry events around the world.
LinkedIn: http://dk.linkedin.com/in/jvestergaard
Contact: http://www.t-sql.dk
Jens performs the traditional BI disciplines from imports in Integration Services through data consolidation in Analysis Services, to report in Power BI or Reporting Services. Jens has worked with The Stack since SQL 2000 and has a core competence in Integration Services and Analysis Services. Along with the certified skills in Microsoft SQL Server, Jens has also worked with Microsoft .Net platform for more than 15 years and currently manages a BI Platform in Azure for the CatMan Solution application(s).
LinkedIn: https://uk.linkedin.com/pub/simon-whiteley/32/994/aa8
Contact: http://blogs.adatis.co.uk/blogs/simonwhiteley/
Simon Whiteley is the Director of Engineering for Advancing Analytics Ltd and a Microsoft Data Platform MVP. Simon is a seasoned solution architect and technical lead with well over a decade of Microsoft Analytics experience. A deep techie with a focus on emerging cloud technologies and applying "big data" thinking to traditional analytics problems, Simon also has a passion for bringing it back to the high level and making sense of the bigger picture. When not tinkering with tech, Simon is a death-dodging London cyclist, a sampler of craft beers, an avid chef, and a generally nerdy person.
LinkedIn: https://www.linkedin.com/in/johanludvig/
Contact: http://brattas.org/sqlmusings
Johan Ludvig Brattås is a managing consultant at Capgemini, and a dedicated community guy. He has worked with MS SQL server since late 1999, mostly with BI in one form or another. The last 6 years, most of his work has been in Azure working on data platforms, Power BI and the last three years expanding to Azure IoT and Stream Analytics. Combining his passion for Microsoft SQL Server with his passion for sharing knowledge, he has spoken at various events in the SQL Community. This is also a way to give back to the community for all the things he has learned over the years. When not working, Johan Ludvig either spends his time with his kids, playing with new technology, or teaching coeliacs how to bake glutenfree food.
LinkedIn: https://www.linkedin.com/in/wollatondba
Contact: http://www.chrisadkin.io
Chris is a freelance SQL consultant who has been working with SQL Server since 2000, his passion is for squeezing every last drop of performance out of SQL Server and understanding the database engine at a level which conventional tools cannot provide any insights on.
The following is a list of sponsors that helped fund the event.


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HTML is the basic structure and contents of a website. CSS is the design of a webpage, how everything looks and where elements are. JavaScript is the interactivity on a webpage which helps engage a user and make it more interesting.
Control flow is the way in which statements are executed from top to bottom. For example something
happens first, then the second thing happens after you have executed the first thing. A loop is
where you can run the code over and over each time with a different value.
To relate this to brushing your teeth your control flow would be brushing your top teeth first
and then brushing your bottom teeth. The loop would be to brush a tooth and then move on to the
next tooth until all the teeth are brushed in that row.
When you are accessing data from an array you use the index number. For example, if you had
var colours = [“yellow”, “pink”, “orange”] and you wanted to access the first element in the
array you use colours[0] and this would return “yellow”.
Objects use names to access its properties. This could be done by using the dot notation. For
example if you had var person = { firstName: “Aimee” , lastName: “Coxhead”} and you wanted to
access the last name, you could use person.lastName.
A function is a block of code that you can use to perform a particular task. It is useful because the whole code will be executed when something calls it. This means you do not need to write the same code again and again, you just need to call the function and it will execute the whole code for you.


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TryRuby is a Ruby course for beginners. Its not possible to tell you everything about Ruby in 15 minutes. Here is an overview of some of the things that I have left out.
There is an elsif statement so you can do this:
# elsif example
if a == 1
do_thing1
elsif b == 2
do_thing2
else
do_thing3
end
A variation on the if-elsif-else theme. Useful when you have to test a variable against a lot of different values:
# Case example 1
case a
when 1
do_thing1
when 2
do_thing2
when 3
do_thing3
else
do_thing4
end
And there is an alternate form:
# Case example 2
case
when a == 1
do_thing1
when b == 2
do_thing2
when a >= 3
do_thing3
else
do_thing4
end
Sometimes you have a string and you want to test if that string contains some text. For instance if ‘user_123’ starts with 'user_’. You could use a test like my_string[0..4] == 'user_’, but there is a much more elegant and flexible way to do this kind of string testing, called regular expressions.
Reason this isn’t in TryRuby lessons is the fact that regular expressions have a syntax that is so strange at first, it might make your head explode. If you see a complex regular expression for the first time, it is like a monkey has been randomly bashing away on a keyboard.
The regex for the example mentioned above is relatively simple:
my_string.match( /^user_(\d+)/ )
This will return nil if my_string didn’t conform to the regex, or a matchdata object if it did. In the last case it will also give you the 123 part as the matched data.
The Ruby documentation has a pretty good explanation on regex’s. And googling on regex will give you millions of hits.
When you try to use a method on your class that isn’t defined, Ruby will look for a method_missing method in your class. If present, the method_missing method will be called and handed the name of the method you wanted to call in the first place as a parameter.
Now you can handle the missing method as if it existed. For instance you might want to implement a sort_by_variable method. Where variable is the name of one of your class variables.
Ruby can give you a lot of information about objects when a program is running. What an object is and what methods it responds to.
# Inspection
s = 'abc'
puts s.class
puts s.methods
puts s.respond_to?(:match)
Reality is that all programs can run into errors. Errors that only raise their ugly heads when your
program is running. And even when your code is flawless. That just happens.
You can let your program crash, but it is usually nicer if you let your program continue and politely tell
that an error has occurred and it can’t continue what it was doing.
Ruby has a couple of facilities for this purpose:
# Rescue
begin
some_method_that_might_run_into_an_error
rescue => e
puts "Error = #{e}"
end
And sometimes you might even want your program to raise an error (like when the user did something really stupid).
# Raise
raise "Yo dude seriously ? You can't enter zero for a divisor" if divisor == 0
You will often need to read or write diskfiles. That is easy in Ruby. For instance reading can be done with IO.Read.
# Read a file
file_contents = IO.Read("my_file")
See the documentation for more info.
Ruby supports this strange thing: <=> called the spaceship operator. It returns -1, 0 or 1 depending on whether the left hand side is smaller, equal to or bigger than the right hand side. Useful for sorting.
# Spaceship operator
'a' <=> 'b' => Returns -1
When you are coding objects (classes) that model some real life situation, you will often encounter objects that are a subset of other objects. And there are many of such subsets. This is where class inheritance comes to the rescue.
A very simple (and incomplete) example:
# Class inheritance
class Animal
attr_reader :number_of_legs
end
class Cow < Animal
#@number_of_legs = 4
end
class Chicken < Animal
#@number_of_legs = 2
end
The Cow and Chicken classes can use all attributes and methods that are defined for Animal.
A course or a book on Object Oriented programming can teach you all about this import concept.
In the lessons we mentioned object variables. Actually these should be called instance variables, since these variables belong to one instance of a type of object.
Sometimes you have two classes that have a lot of similar code, but they cannot inherit from a common parent. To avoid having the same code in two places (something you really should avoid) you can place the common code in a module and mix that module into your class.
Or you can mix-in an existing module like Enumerable:
# Mix-in
class Blurbalizer
include Enumerable
attr_reader :blurbs
def initialize
@blurbs = []
end
def each(&block)
@blurbs.each{ |blurb| block.call(blurb) }
end
end
Blurbalizer.new.methods
As long as you define method each, the Enumerable mixin now provides a lot of methods for free, like map and sort.
Unlike most other languages Ruby lets you do something called Meta programming. This means that a Ruby program can change itself while it is running. You can use this for example to read a table from a database, check the fieldnames of the table and create a method to access each field by name.
In your code you are using variables all the time. Some variables are used from the start to finish, others
only for a very short time. For instance variables created inside methods.
But where do these variables go after you have discarded them ? Do they magically disappear ?
No, these variables, and the associated computer memory, are collected by the
garbage collector.
 And thus makes the associated computer memory free again, ready to be reused by your program.
Normally you never notice this cleanup. Except when you are running some time-critical program like a game. Every couple of seconds the game shows a bit of a hiccup.
Before you start coding to solve a programming problem it might be a good idea to see if somebody else already solved the same problem. The RubyGems website holds a vast collection of premade Ruby code. There is bound to be something there to give you a quick start to solve your coding problem. Gems are also very easy to install.
Not really a (Ruby) technique, but more a concept, DRY stands for Don’t Repeat Yourself.
Meaning: do not write te same piece of code twice.
When you are coding you will often find you need to write a bit of code that is the same as, or very similar
to, something you wrote before. Stop writing new code right then !!!
Instead find the existing similar code and extract it into a new method. Call the new method from the
existing code and from the code you were about to write. Then test if everything works as expected.
Advantages of this way of coding are that you write less and easier to maintain code.
Lastly, Ruby allows you to write very concise readable code. This comes with a price of course.
To make concise (= short) code the methods you use need to be able to do a lot of powerful stuff.
This means that there have to be a lot of different methods, each one powerful in its own way.
Learning to write proper Ruby code means that you will have to know a lot of different methods
and this will take quite a bit of time.
Other programming languages might only have a short set of methods and are quicker to learn, but making a real program in those languages involves a lot more work since you would have to recreate the powerful methods that Ruby knows as standard.


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Trial of man who allegedly raped and sexually assaulted daughter to be in March 2021
by Naveel KrishantThe trial of a 62-year-old man who allegedly raped and sexually assaulted his 15-year-old daughter will be in March 2021.

The alleged incidents happened in Lami last year.
The man has been further remanded in custody and the case will be called on the 17th of February next year.


Max Abraham was born into a Jewish family who had made considerable amounts of money as merchants. He studied at the University of Berlin under Planck, writing his doctoral dissertation in 1897. After this he spent three years at the University of Berlin working as Planck's assistant.
In 1900 Abraham was appointed as a Privatdozent at Göttingen. He lectured at Göttingen as a Privatdozent until 1909 which is an unusual length of time for anyone to hold such an unpaid lecturing position. The reason for his failure to obtain a permanent university position during this period was not due to his ability but rather was a result of his personality. Goldberg writes in [1]:-
... he had no patience with what he considered to be silly or illogical argumentation. Abraham had a penchant for being critical and had no hesitation in publicly chastising his colleagues, regardless of their rank or position. His sharp wit was matched by an equally sharp tongue, and as a result he remained a Privatdozent at Göttingen for nine years.
In 1909 Abraham accepted a post at the University of Illinois in the United States. Disliking the small university atmosphere of Illinois, he returned within a few months to Göttingen, going next to Italy at the invitation of Levi-Civita. Abraham was professor of rational mechanics at the University of Milan until 1914. During this time Abraham and Einstein disagreed strongly about the theory of relativity in a correspondence discussed in [3] and [4]. Einstein also argued about relativity in a correspondence with Levi-Civita and Abraham played a role in this argument too, see for example [4].
Forced to return to Germany at the start of World War I, Abraham worked on the theory of radio transmission. Unable to return to Milan after the War he worked at Stuttgart until 1921, substituting for the professor of physics at the Technische Hochschule, when he accepted a chair in Aachen. He took ill on the way to Aachen and a brain tumour was diagnosed.
Abraham's work is almost all related to Maxwell's theory and he wrote a text which was the standard work on electrodynamics in Germany for a long time. Goldberg writes in [1]:-
His consistent use of vectors was a significant factor in the rapid acceptance of vector notation in Germany. But one of the most noteworthy features of the text was that in each new edition Abraham saw fit to include not only the latest experimental work but also the latest theoretical contributions, even if these contributions were in dispute. Furthermore, he had no hesitation, after explicating both sides of a question, in using the book to argue his own point of view.
His theory of the electron was developed in 1902, and its case strongly agrued in his text, but in 1904 Lorentz and Einstein produced a different theory. Abraham's study of the structure and nature of the electron led him to the idea of the electromagnetic nature of its mass, and consequently to the dependence of the velocity of electromagnetic waves in a gravitational field. At first his ideas were supported by experiment, particularly work carried out by Wilhelm Kaufmann, but later work was to favour the theory developed by Lorentz and Einstein.
 At first he objected both to the postulates on which relativity was based and also to the fact that he felt that the experimental evidence did not support the theory. By 1912 Abraham, who despite his objections was one of those who best understood relativity theory, was prepared to accept that the theory was logically sound. However, he still did not accept that the theory accurately described the physical world.
Abraham had been a strong believer in the existence of the aether and that an electron was a perfectly rigid sphere with a charge distributed evenly over its surface. He was not going to give up these beliefs easily particularly since he felt that his views were based on common sense. He hoped that further astronomical data would support the aether theory and show that relativity was not in fact a good description of the real world. As Born and von Laue write in [2]:-
He loved his absolute aether, his field equations, his rigid electron just as a youth loves his first flame, whose memory no later experience can extinguish.
Many would still agree with Abraham that his version of the world was more in line with common sense. However, mathematics and physics over the 20th century has shown that the world we inhabit is at variance with "common sense" when we examine the large scale structure and the small scale structure.
Germany (now Gdańsk, Poland)


Snail Bucket is a community of chess enthusiasts playing at FICS. Our goal is to offer our members tournaments with slow time controls (games often last over 2 hours).
Older news...


EN
lookup
&Lookup (Alt+L)
Looks up the current cell.
lookup_next
Look up Ne&xt (Alt+R ARR)
Selects and looks up the next cell.
set
S&et (Alt+UP ARR)
Registers the translation for the current lookup cell.
set_and_next
&Set And Next (Alt+S)
Registers the translation for the current cell, and look up the next one.
get
Ge&t (Alt+DWN ARR)
Retrieves the translation for the current cell.
get_and_next
&Get And Next (Alt+G)
Retrieves the translation for the current cell, and look up the next one.
next
&Next (Alt+N)
Displays the next translation in the TransAssist window.
prev
&Previous (Alt+P)
Displays the previous translation in the TransAssist window.
add_gloss
Add Glossa&ry
Batch adds glossary entries to the TransAssist glossary window.
add_memory
Add &Memory
Batch adds memory entries to the TransAssist memory window.
switch_lang
S&witch Menu to Japanese
Changes the menu and message language to Japanese.
entry
Entry
Entry
gloss
Glossa&ry
Retrieves a glossary entry.
auto_trans
&Auto Translate...
Auto translation
auto_trans_sel
&Selection
Automatically translate all cells in selection.
auto_trans_sheet
S&heet
Automatically translate the current sheet
auto_trans_all
All &Workbooks
Automatically translate all sheets in all open workbooks


{% extends "home.html" %} {% block title %}Forbidden{% endblock %} {% block content %}
You are not allowed to view requested content.


This has either been opened from VIPLE's "Start web simulator" or has been opened manually through your web browser's URL.
In order to "Run" this simulator, you must connect to VIPLE or JSON transmitting program, starting a new "Web simulator" on VIPLE
will not begin the execution of the robot's movement and measurements. Please follow the instructions carefully below.
Instructions:
1.) Open ASU VIPLE and ensure that your "Robot" service block has 8124 as its TCP port.
2.) Run your ASU VIPLE Program (green triangle button) and ensure that the window "RunWindow" is displaying that says "Running Program". Keep the RunWindow open during execution.
3.) Note: If you are not using any sensors, you do not need to fill in the fields or click the button "Add/Update Sensors".
3a.) If you are using sensors, input sensor ID, select what type of sensor it is, and where it located on the robot in the "Input Sensor Value" section.
3b.) If you are not using that sensor, enter "none" as the ID, then click the button "Add/Update Sensors".
4.) Ensure that your program is running in VIPLE
5.) To connect to VIPLE, In the "Connect To VIPLE" section: enter "localhost" for same computer, or your given IP address for another computer in the field above.
6.) Click the Connect to ASU VIPLE (Websockets) button.
Note: that motor "3" will be the universal left, motor "5" will be universal right motor for this simulator.
Advanced and experimental: You can also upload your own maze (walls must be black Red/Green/Blue = 0/0/0), do not use if you don't know what you're doing.


Work on a Data Pipeline
Business Intelligence Analyst
Business Insight Analyst
Datasets
The Data Warehouse
Bespoke information generated for a narrow purpose.
Takes data from production systems, cleans it, applies business rules and provides the data in a format which allows cross-source analysis and encourages exploration.


To obtain a position that will allow me to utilize my technical skills. I am Techology enthusiastic person and good programmer. By passion, I am a web designer and developer.
HTML, CSS, Bootstrap, JavaScript, Jquery, Angular, Core Java
Designed and developed the basic contact form responsive website for company using HTML, CSS, Bootstrap, Javascript, Jquery, PHP. Backend mailer system developed in PHP.
Link: http://www.psinfoline.com
Developed the Online Shopping interactive website using HTML, CSS, JavaScript.
Link: https://thecodertech.github.io/OnlineShopping/
Developed Basic CRUD application for student database made by HTML,CSS and Javascript.
Link: https://thecodertech.github.io/Student_CRUD_app/


England players' medal reaction has upset a lot of people on Twitter
by Josh RaiseyThe England team will understandably be bitterly disappointed after they fell to the Springboks in the World Cup final on Saturday, but many people do not think that justifies how they acted after.
Eddie Jones’ side were overwhelmed by South Africa 32-12 in Yokohama in a game where they were bullied up front. While they would have been distraught with the performance, fans on social media do not think that excuses them from refusing to wear their silver medals.
A number of players took the medals off as soon as they were awarded to them, an act that many fans think is a sign of poor sportsmanship.
Many have highlighted how the All Blacks reacted on Friday after receiving their bronze medals and have said that that is the example to follow, branding England as “sore losers”.
Of course, the bronze final was slightly different as, although they had come third, the All Blacks had just won their game against Wales. But many fans have emphasised that England still came second in the tournament, which is impressive in itself.
That will be little consolation to the players who were a far cry from the side that demolished the All Blacks the week before. This is what has been said:
Going into the final, England were tipped as favourites by many, but there were very few moments where they challenged Rassie Erasmus’ side in the match. The Springboks were heroic in defence and were even stronger in the scrum.
Had England mounted more of a challenge, their reaction to losing – and receiving their medals – may have been different, but that still does not cut it for the fans.
WATCH: England’s post-match media conference following their loss to South Africa


<link rel="stylesheet" type="text/css" href="styles/main.css">
The link element must contain both the rel and href attributes in order to be a valid element.
<link href="https://somewebsite.com/song.mp3" crossorigin="use-credentials">
In example 2 here, somewebsite.com has a CORS policy in place on song.mp3.
Since my browser has permission to access this file via a cookie, I can specify "use-credentials" so my browser knows to send the cookie when making the file request.
<link rel="stylesheet" rev="author" type="text/css" href="styles/main.css">
In example 3 here, I am specifying that I am the author of the linked CSS file.
<link rel="stylesheet" type="text/css" media="print" href="styles/main.css">
In example 4 here, this CSS sheet only applies to printers so the page can look nice when printed.
<link rel="script" nonce="abcde12345" href="styles/main.css">
In example 5 here, the file can only be linked if it has the matching nonce attribute value.
<link rel="alternate" hreflang="es" href="https://es.mysite.com">
Here I link to an alternate version of my website that has been translate to Spanish, this would help with SEO in spanish speaking countries.
<link rel="stylesheet" referrerpolicy="origin" href="https://othersite.com/style.css">
In my example above, no matter which page of my website the request is made, they will only see that the request is
coming from my base origin.
<link rel="icon" sizes="16x16" type="image/x-icon" href="icon/favicon.ico">


This demo does not communicate with any server.  Read demo/coffee/upload-logic.coffee or play around to figure it out.
Network is online (when unchecked, all operations will be errors)


-*- html -*- @headerfile "dns_records.hrl" @title dns_erlang @copyright 2010 Andrew Tunnell-Jones @author Andrew Tunnell-Jones [http://andrew.tj.id.au/] @reference Documentation @reference Source Code Repository @doc
dns_erlang is a DNS message library for Erlang. It supports most common record types, TSIG authenticated messages, EDNS0 and DNSSEC. Functionality for constructing or querying a nameserver beyond interpreting wire messages is not provided.


To route all trafic through this proxy please set up the following address as a local proxy:
{{bproxyService.bproxy.address()}}
AppleSupport on setting up a proxySetting up a proxy on android phones
Example configuration in iOS:
To route all trafic through this proxy please set up the following address as a local proxy:
{{bproxyService.bproxy.address()}}
AppleSupport on setting up a proxyExample configuration in iOS:


#include <largeobject.h>
Public Types | |
| typedef CHAR | char_type |
| typedef TRAITS | traits_type |
| typedef traits_type::int_type | int_type |
| typedef streamoff | off_type |
| typedef streampos | pos_type |
| typedef largeobjectaccess::openmode | openmode |
| typedef largeobjectaccess::seekdir | seekdir |
Public Member Functions | |
| largeobject_streambuf (dbtransaction &T, largeobject O, openmode mode=in|out, size_type BufSize=512) | |
| largeobject_streambuf (dbtransaction &T, oid O, openmode mode=in|out, size_type BufSize=512) | |
| virtual | ~largeobject_streambuf () |
| virtual int | sync () |
Protected Member Functions | |
| virtual pos_type | seekoff (off_type offset, seekdir dir, openmode mode=in|out) |
| virtual pos_type | seekpos (pos_type pos, openmode mode=in|out) |
| virtual int_type | overflow (int_type ch=EoF()) |
| virtual int_type | underflow () |
The standard streambuf classes provide uniform access to data storage such as files or string buffers, so they can be accessed using standard input or output streams.


Play!
Quick Game
Solo Game
Head-to-Head
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| Skill Name | OB Skill |
Caller ID | Campaign Name | From Address | SLA Seconds |
SLA Percent |
Use Short Abandon Threshold |
Short Abandon Threshold |
Queue Init Priority |
Queue Acc. |
Queue Max Priority |
|---|---|---|---|---|---|---|---|---|---|---|---|


Problem solving is something that will be at the core of pretty much everything we will do as web developers. With this in mind it is important to have a toolbox of problem solving techniques available to take with you into the fray.
So this week we had a number of coding tasks set out for us which were inevitably going to pose a number of challenges.
Early on we had a task of working with an object which was a persons called Terah and her object had a whole lot of details that related to her, such as her name, eye color, age etc. During the challenge we had to set Terah’s spouse as Adam and then in return set his spouse value as Terah.
The first part was simple enough but i found myself trip over when assigning Terah back to Adam as his spouse. I found I was trying to be to complex in my effort to find a solution so when I stopped took a breath and then tried the most simple/straight forward of solutuions it worked. My big take away was - when in doubt go with the most obvious as it usually is the most obvious for a reason.
Another problem we needed to solve was a classical fizzbuzz problem. With this scenario you are asked to print out a list of numbers from 1 -100 and you replace every multiple of 3 with the word fizz, multiples of 5 with the word buzz and multiples of 15 with fizzbuzz.
Getting the problem solved initially I used a for loop that worked over a previously set up if statement that had been set up to ensure the correct results would be printed. There is an example of the code here:
I was happy with my result but felt there could be a better way of solving this problem. After doing some research on the internet I found a video that laid out another way to solve the problem which would allow you to make changes to what numbers would be affected by the fizz buzz print out. It was a really cleaver way of approaching things and seemed pretty elegant to me.
The process also underlined to me the importance of using the internet as a tool to work through problems as there will be methods and solutions out there that you may not have thought of and it can be a valuable learning tool.
Here is a list of a variety of problem solving techniques that can be beneficial and how I feel my relationship with them all is at this stage.
So these have been my takes on problem solving. Granted they are in a very embryonic stage and I hope to grow these and flesh them out over time, however, for now I think they form a good basis to work from. Thanks for stopping by and I hope there was something useful here for you.


Parallax Demo
Parallax scrolling is a web site trend where the background content is moved at a different speed than the foreground content while scrolling.
Parallax scrolling is a web site trend where the background content is moved at a different speed than the foreground content while scrolling.


Somehow The Brand New Nest Hub Max Is $179 Today
The brand new Nest Hub Max is already on sale for just $179.
That is its lowest price ever, good for $50 off of its regular price.
Google Shopping has it down to $199, however if you use the promo code NOVSAVE19 you can get it down to $179. That coupon code is good for 20% off, up to $20.
Advertisement
The Nest Hub Max is a larger smart display from Google. It sports a 10.1-inch display, and it has the Google Assistant inside, of course. There is also a Nest Cam built-in, so that you are able to keep an eye on your home, when you're not home.
Having a smart display is really nice actually. Seeing as visual Google Assistant is even more helpful. That's because you are able to see things like the weather, or control your smart home devices, with an actual screen instead of using your voice. But perhaps the best feature is allowing you to use a photo gallery on the display. So you can pictures of your family and friends, or your pets, or something else. Which is really cool.
Of course, the Nest Hub Max is much more than just an expensive photo frame though. With a display, Google Assistant allows you to watch videos from YouTube, as well as showing you the latest news, instead of just reading it off to you, and so much more.
Advertisement
With a Nest Cam built-in, it can recognize who in the house is talking to Google Assistant.  Which is really nice. It can also record only when you're not at home, so you don't need to worry about it spying on you.
You can pick up the Nest Hub Max from Google Shopping right now, by clicking here.
Nest Hub Max - Google Shopping - $179
Advertisement


{% extends 'base.html'%} {% block title %}Project List{% endblock %} {% block content %}
Pick a project to work on or delete ones you want to get rid of (you can restore them if need be).
| # | Project name | Created | Actions | ||
|---|---|---|---|---|---|
| {{p.id}} | {{p.name}} | {{p.created}} | launch | text_fields | delete |
| No projects yet |


Getting started with Blot
Blot is a blogging platform. It creates a folder inside your Dropbox and publishes files you put inside. This means you can use your favorite text editor to write your blog.
Posts
These files become blog posts when you put them somewhere in your site’s folder:
- Text .txt, .md
- Images .png, .jpeg, .gif
- Word documents .docx
- Bookmarks .webloc
- HTML .html
Blot skips files and folders whose name starts with an underscore. Use this feature to embed an image in a blog post.
Importing your posts from elsewhere
I’ve written scripts to generate a folder of files from Tumblr, Wordpress, Jekyll and Squarespace. If you contact me, I will run them on your site and send you the result.
Formatting your posts
Blot supports Markdown, a markup language designed for plain text files. You can add headings, lists, mathematical statements set in LaTeX, syntax highlighting to code snippets and much more.
Pages and drafts
Files inside a folder called ‘Pages’ are added to your site’s menu instead of the list of blog posts. You can hide a page from your site’s menu if you prefer.
Files inside a folder called ‘Drafts’ are not published to your site. Instead, Blot creates a preview file which you can open in your web browser.
Public files
Every file in your site’s folder is public. For example, if you put
in your folder, your readers can download it at www.your-site.com/archive.zip
. You can use Blot as a static file server. Please note that paths and URLs on Blot are case-insensitive.
Metadata
Date: February 28th, 1973 Tags: Literature, Schwarzgerät # Gravity’s rainbow A screaming comes across the sky.
Blot generates all metadata for each post automatically based on the file’s contents, name and location. This metadata includes a publish date, permalink and a summary. You can override Blot’s metadata with your own.
Metadata must start on the file’s first line and be separated from the rest of the post by at least one blank line.
You can also create your own custom metadata and use it on your site’s template. View the full list of metadata.


Spelling CI is a service created by Inaka that will integrate with your Github repositories and check the spelling of your Pull Requests.
Once you've signed up with your Github user, you'll see a table with a row per repo. To [de]activate Spelling CI for a repo, just select its checkbox button.
When Spelling CI is activated for a repo, a webhook will be added to that particular repository on Github. Then, each time somebody submits a pull request there, Spelling CI will check spelling of the PR's code and report any warnings as github comments.
By default Spelling CI will check all the *.md and *.markdown files in your repository, but that can be changed using a spellingci.json file with this format:
{
"extensions" : ["txt", "other"],
"ignore_words" : ["word1", "word2"],
"ignore_patterns" : ["regex1", "regex2"],
"ignore_blocks" : [{"open" : "open_regex", "close" : "close_regex"}]
}
You can find more info about this configuration file here.
Spelling CI will check public and private repositories hosted on Github. Spelling CI's code is open-source and it is using many open-source libraries like:


| Test Case |
Action |
Arguments |
| Test Toolbarbuttons |
Find Toolbar Button |
push |
|
|
|
${isVisible} = |
Is Toolbar Button Visible |
|
|
|
Should Be True |
${isVisible} |
|
|
|
${isEnabled} = |
Is Toolbar Button Enabled |
|
|
|
Should Be True |
${isEnabled} |
|
|
|
${text} |
Get Toolbar Button Text |
|
|
|
Should Be Equal |
${text} |
push |
|
|
Set Focus On Toolbar Button |
|
|
|
|
${tooltip} = |
Get Toolbar Button Tooltip Text |
|
|
|
Should Be Equal |
${tooltip} |
tooltip push |
|
|
Click Toolbar Button |
|
|
|
|
Comment |
toolbar drop down |
|
|
|
Find Toolbar Drop Down Button |
drop down |
|
|
|
${isVisible} = |
Is Toolbar Drop Down Button Visible |
|
|
|
Should Be True |
${isVisible} |
|
|
|
${isEnabled} = |
Is Toolbar Drop Down Button Enabled |
|
|
|
Should Be True |
${isEnabled} |
|
|
|
${text} |
Get Toolbar Drop Down Button Text |
|
|
|
Should Be Equal |
${text} |
drop down |
|
|
Set Focus On Toolbar Drop Down Button |
|
|
|
|
${tooltip} = |
Get Toolbar Drop Down Button Tooltip Text |
|
|
|
Should Be Equal |
${tooltip} |
tooltip drop down |
|
|
Click Toolbar Drop Down Button |
|
|
|
|
Find Menu In Toolbar Drop Down Button |
Item 2 |
|
|
|
Click Menu |
|
|
|
|
Comment |
toolbar radio button |
|
|
|
Find Toolbar Radio Button |
radio 1 |
|
|
|
${isVisible} = |
Is Toolbar Radio Button Visible |
|
|
|
Should Be True |
${isVisible} |
|
|
|
${isEnabled} = |
Is Toolbar Radio Button Enabled |
|
|
|
Should Be True |
${isEnabled} |
|
|
|
${text} |
Get Toolbar Radio Button Text |
|
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tooltip radio 1 |
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Is Toolbar Radio Button Checked |
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{% extends '_base/page-with_nav-single_row.html' %} {% load staticfiles %} {% load bootstrap3 %} {% block title %} Product details for {{ product.product_id }} {% endblock %} {% block page_content %}
| End-of-Life Announcement Date: | {{ product.eol_ext_announcement_date|date:"SHORT_DATE_FORMAT" }} |
|---|---|
| End-of-Sale Date: | {{ product.end_of_sale_date|date:"SHORT_DATE_FORMAT" }} |
| End of New Service Attachment Date: | {{ product.end_of_new_service_attachment_date|date:"SHORT_DATE_FORMAT" }} |
| End of SW Maintenance Releases Date: | {{ product.end_of_sw_maintenance_date|date:"SHORT_DATE_FORMAT" }} |
| End of Routine Failure Analysis Date: | {{ product.end_of_routine_failure_analysis|date:"SHORT_DATE_FORMAT" }} |
| End of Service Contract Renewal Date: | {{ product.end_of_service_contract_renewal|date:"SHORT_DATE_FORMAT" }} |
| End of Vulnerability/Security Support Date: | {{ product.end_of_sec_vuln_supp_date|date:"SHORT_DATE_FORMAT" }} |
| Last Date of Support: | {{ product.end_of_support_date|date:"SHORT_DATE_FORMAT" }} |
| Vendor Bulletin: | {{ product.eol_reference_number|default:"Link" }} |


Allies
Basic Allies
- Purchase before adventure
- Must re-purchase to keep for next adventure
Advanced Allies
- Purchase before adventure
Limitations
- Does not roll to move
- May not get critical hits
- May not Duel Weld ranged weapons
- May not use Grit
- May not draw Loot cards
- May not Explore (Look through doors or Scavenge)
- Does not participate in random skill checks from encounters
- Limited carrying capacity
- Limit 8 models on board at one time (Heroes + Advanced Allies)
- Cannot be KO'd, are killed/out-of-action for remainder of mission instead.
- Cannot use Revive tokens.
Ally XP and Upgrades
- Allies gain 1 Ally XP per mission they survive
- Each upgrade may only be taken once. Reroll duplicates.
Ashigaru
- Expendable: Must re-purchase to keep for next adventure, including cost of any specialty
- Armored Ashigaru: May not take a specialty.
Animal Allies Additional Limitations
- May not make Skill checks
- May not use Items or Side Bag tokens
- May not drag KO'd heroes
Remove Mutation
Between adventures, spend $500 and roll D6: * 1-2: Ally dies * 4-6: Mutation is removed.
Other abilities that remove mutations require the above roll.
Reviving Between Adventures
- Pay original cost + specialty cost + $200/upgrade
Veteran Ally
- Hero must be level 5+
- Base cost is doubled.
- Health/Sanity is doubled.


Rhubarb Upside-Down Cake
19 Jul
I really love the taste of rhubarb, but I just haven’t been able to break away from my trusty rhubarb crisp routine. So when I happened upon this recipe for rhubarb upside-down cake, I just had to try it. This cake is really something special. The sour cream makes the batter so moist, and the orange zest adds an extra layer of flavor. But make no mistake–the rhubarb is still the star of the show.
Rhubarb comes in all shapes, sizes, and colors. Because of this, no two rhubarb upside-down cakes will come out looking the same. If symmetry and predictability is your thing, this may not be the recipe for you. You can try to position the rhubarb just perfectly, but when it cooks, chances are it will shift around a bit. There is something beautifully imperfect about this cake–just go with it!
The original recipe is from Martha Stewart, but I felt like there were a couple crucial steps left out of the written directions. Hopefully my additions help! Also, a quick note. I understand that some upside-down cakes can be made in a spring form pan. Unfortunately, a lot of liquid is released from the rhubarb when it is cooked, which may leak through the spring form and start a small fire in your oven. I may or may not know this from personal experience…
Rhubarb Upside-Down Cake
Adapted from Martha StewartYield: 10 servings
- For The Topping
- 4 tablespoons unsalted butter, melted
- 1/2 cup all-purpose flour
- 1/4 cup sugar
- Coarse salt
- For The Cake
- 1 1/2 sticks unsalted butter, room temperature, plus more for buttering pan
- 1 pound rhubarb, trimmed and cut on a very sharp diagonal about 1/2 inch thick
- 1 3/4 cups sugar
- 1 1/2 cups all-purpose flour
- 1 1/2 teaspoons baking powder
- Coarse salt
- 1/2 teaspoon finely grated orange zest plus 1 tablespoon fresh orange juice
- 2 large eggs
- 1 cup sour cream
- Preheat oven to 350 degrees. Make the topping: Stir together butter, flour, sugar, and 1/4 teaspoon salt until moist and crumbly. Set aside in refrigerator until ready to use.
- Make the cake: Butter a 9-inch round cake pan (2 inches deep). Dot with 4 tablespoons butter (cut into pieces). Toss rhubarb with 3/4 cup sugar; let stand for 2 minutes. Toss again, and spread in pan with red side of the rhubarb facing down so it will show when the cake is flipped.
- Whisk together flour, baking powder, and 1 1/2 teaspoons salt. Set flour mixture aside.
- Beat remaining stick butter and cup sugar with a mixer on medium speed until pale and fluffy. Beat in orange zest and juice. Beat in eggs, 1 at a time, until incorporated, scraping down sides of bowl. Beat in flour mixture in 3 additions, alternating with sour cream, until smooth. Spread evenly over rhubarb. Crumble topping evenly over batter.
- Bake until a toothpick inserted into the center comes out clean and top springs back when touched, about 1 hour. Let cool for 10 minutes. Run a knife around edge of cake, and invert onto a wire rack. Let cool completely.
Let the cake cool for 10 minutes before removing it from the pan. The rhubarb will be too hot to handle safely right after baking. But if the cake sits much longer, it may stick.
The rhubarb I picked up from the farmers market was adorably small, so I had to pull quite a few stalks to make a pound.
I chose the reddest rhubarb at the market, but this is just an aesthetic preference–greener rhubarb will taste just as good.
Dot the butter in the pan and wedge in the rhubarb. If there is sugar left at the bottom of the bowl, sprinkle it on top of the rhubarb.
The batter will be a little thick, so gently smooth it over the rhubarb with a spatula.
The crumb “topping” will become the bottom of the cake once it is flipped.
Tags: Dessert, Martha Stewart, Rhubarb, Upside-Down Cake
this sounds amazing. I can only get frozen rhubarb but I may try it.
I think defrosted, frozen rhubarb would work wonderfully in this cake. Enjoy!
You should try this again with the caramel topping I made on my nectarine upside down cake (recipe on my blog of course), I think it could be pretty tasty for you, and it will help you to lay the rhubarb in a pattern that holds – if you would like of course, but this sounds pretty good too!
Thanks for the tip, Alice! Your nectarine upside-down cake looks beautiful. I think you are right–if you omit the sugar in the rhubarb and use your caramel instead, the rhubarb would set a little better. What a great idea! I will definitely give this a try next time I make this cake.