| Psy::Helpers::parse |
Raw seq parser
Version 0.02
Prolly not for public consumption.
Code to recursively parse a directory of .seq files and return some a file of nicely formatted concensus data that can be manually edited, then extracted. Makes *a lot* of assumptions about how the seq files are named, but the general pattern is: letter##_code.primer_lane.file_ending (e.g. g02_mjy234.D2_01.seq).
You must include your primer pairs in DATA (bottom of this file), they are used in matches and can be abused to limit the output generated.
In its simplest form just do this:
use sp; my $foo = sp->new('-dir' => '.'); $foo->dumpAll; After editing your output this returns a fasta formatted version of the data: use postsp; &postsp::extractToMx('out4.text');
Post processing of sp output
A hack to generate a table that is easily mappable to import to mx. The primer hash values are gene_ids.
sp (sequence parser), for rapid pre-editing formatting of .seq files
Loads (recursively) the seq files.
Reads an individual sequence
## change this to the electropherogram once BioPerl-ext installs correctly
Returns a concensus sequence - assumes str1 and str2 are equal lenght - for columns opposite whitespace concensus returns lower case - for non-matching columns ``N'' is entered - otherwise the concensus letter is entered
=cut
| sub concensus { | |
| my ($str1, $str2) = @_; | |
| (length ($str1) != length $str2) && return undef; # leave as is | |
| my $str; |
for (my $p=0; $p < length $str1; $p ++) { $str1 =~ /.{$p}(.)/; my $l1 = $1 ; $str2 =~ /.{$p}(.)/; my $l2 = $1; if ($l1 eq $l2) { $str .= uc($l1) } elsif ($l1 eq ' ') {$str .= lc($l2) } elsif ($l2 eq ' ') {$str .= lc($l1) } else {$str .= 'N'}; } return $str; }
Symbolizes a concensus string for easier visual-reference
Align and equalize string: adds space offset (calc offset with &align) to begining of string 1, then caps then end of the then longer string with space so that both are equal length
A simple very rough ``alignment'' algorithm for near identical sequences of large length (e.g. forward and backwards reads). Returns the offest of seq1 to seq2; no gaps are inserted
Pairs a forward and reverse sequence by elements of their filenames AND the <DATA> that describes primer pairs
The match string, like 'MY154'
like 'A', 'B' etc.
Used to match. NO LONGER USED.
Assume its all nice ascii- this might not ultimately be the case (A/H wrapping).
Primer for a seq
Accessor for the 3' for a 5'-3' primer pair, as read from <DATA>.
Voucher code
Seq (nucleotides)
| Psy::Helpers::parse |


{% extends "includes/layout.html" %}
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Rating: * * *½ out of * * * *
Starring: Edward Norton, Edward Furlong, Beverly D'Angelo, Fairuza Balk. Rated R for graphic violence and language, strong sexuality and nudity.
"American History X" is one of the most powerful, most involving movies I have seen in a while. The whole movie is simply amazing, shooting off the center minor times but quickly picking up where it left off. I think Edward Norton's performance in this movie is one of the best performances in a movie to me on record. He gets into his character so deep, he believes what the character is doing. After a while we start to believe him, it's absolutely incredible. The supporting cast more than supports Edward, they almost do just as great of job as he does. The rest of the cast includes Edward Furlong, Beverly D'Angelo and Fairuza Balk.
The movie starts out with some guys trying to break into Derek's (Edward Nortan) car. His younger brother Danny (Edward Furlong) walks in during him and his girlfriend having sex to tell him someone is robbing his car. Derek gets up quickly, grabs his gun and shoots the three guys outside. The police come and Derek is put in jail for three years. Derek is also a neo-natzi skinhead. Before all this happened he had a group of other skinheads, meetings and robberies.
Danny having seen what happened, wants to follow in his brother's footsteps and he too becomes a skinhead. His grades in school start to drop, he hangs out with the wrong crowd and does other misc. stuff. Three years later Derek gets out of prison. A changed man no longer a skinhead, but a person who respects other people. Danny learns that when Derek was in prison, he was partnered with a black man to do jobs and found out, there is no reason to hate these people.
Now years before Danny and Derek's father was killed by a drug dealer while fighting a fire. Since then Derek has been a skinhead. His mother played superbly by Beverly D'Angelo can not understand where she went wrong. Her other three kids are not like that. Derek a changed man, no longer a nazi has to fight his past when he returns, and fight the people from his past to change his brother into a regular person.
'American History X' is definately one of 1998's best films. It has superb acting to go along with it's excellent storyling. It's extremely believeable in all senses, very very powerful and emotionally involving. We actually live the lives the characters live. We are there right beside them the whole time through the rough times and the good times. When the ending comes we are shattered but left with a good message.
Now the whole movie is nothing but a message. It deals with race and how we shouldn't base someone precisely on the color of their skin, but what they are inside. Edward Furlong gives a performance that is not only great, but his character is really the star of the film. It's the story through his eyes, what he sees, and what he doesn't see. If you want to see a movie that will disturb you while making you cry, see 'American History X' it's one of the best films made.
Reviewed by Brandon Herring August 29, 1999. Brandon Herring Movie Review Heaven (http://www.geocities.com/hollywood/movie/3160/moviereviewheaven.html
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Notebooks
Story: A note on ||kum'm or rain-clouds
A note on ||kum'm or rain-clouds
Title
A note on ||kum'm or rain-clouds
Collection
Summary
A description of the coming of the rain and the appearance of ||kum'm, or great black clouds. The rain in the boys' country affects the falling of the flowers and the behaviour of the caterpillars on the trees.
Comments
1) This story concerns the ||kum'm which are mentioned in the story |xue as a bam-bam and other things, 2) This story is found in Book XI & XII-10
Contributors
Date
March or April 1881
Categories
The Rain and Rain's water, Plants and animals
Keywords
rain (||kum'm or rain-clouds) , rain (the actions of) , rain (makes people tremble with cold) , rain (places a great black cloud) , rain (and the great wind) , rain (the coming of) , rain ('is dealing gently with the Sun') , rain (and black clouds) , rain (in the !kun country) , rain (in !nanni and Tamme's country) , rain (its effect on plants and animals) , rain (and !xu trees and ||k'e caterpilllars) , clouds (||kum'm or rain-clouds) , clouds (and the rain) , clouds (black) , clouds (!kun name of) , clouds (and the great wind) , clouds (and the coming of the rain) , wind (||kum'm or rain-clouds) , wind (a 'great one' comes) , wind (and the coming of the rain) , wind (cold) , wind (and the ||kum'm, or black clouds) , ||kum'm (a rain-cloud) , ||kum'm (a great black cloud) , ||kum'm (and the coming of the rain) , name (!kun) , name (for black rain-clouds) , name (for tree) , name (for a caterpillar) , tree (called !xu) , tree (and ||kum'm or rain-clouds) , caterpilllars (called ||k'e) , caterpilllars (and ||kum'm or rain-clouds) , plants (and flowers) , plants (and the rain in !kun country) , plants (and ||kum'm or rain-clouds) , animals (and the rain in !kun country) , animals (and ||kum'm or rain-clouds) , Sun (and the rain in !kun country) , Sun (and ||kum'm or rain-clouds)
Story Pages
9783v-9785v


How to improve your privacy 1.0
For the last 6 months or so I made it my mission to improve my privacy on the web. This article shows you what changes I made so far and what you can also do to protect yourself.
Stop using google.com
One of the first changed I made was stop myself from using google.com. Google tracks everything you do on the web, all your searchs, but most of all, instead of giving you the results that are more relevant based on their SEO score, they give you the result that they think are best for you. This keeps you from seeing different ideas or even getting into websites that might make more sense to what you look for.
I started using DuckDuckGo.com instead. They don’t track your searches, and most of all you get unbiased results outside the Filter Bubble. They are committed to unbiased search that’s never based on your search history. I even made DuckDuckGo my default search engine on my blog. Give it a go. :)
Stop Using google Chrome
Google chrome has been my default browser for years now. Before that I used Firefox for a long time but I parted ways with it mostly because it was getting behind in features and it was way slower than Chrome.
However, for the same reason I stopped using google.com I thought it was time to give Firefox a try once more. Boy or boy was I impressed.
Firefox is fast, it has all the feature I need in a browser for web-development that I do everyday and in it I installed a bunch of addons that helped further with my quest.
Firefox addons I installed realted to privacy.
AdBlocker Ultimate
AdBlocker Ultimate is designed with a singular purpose: remove all ads so you can focus your attention on the content you want.
DuckDuckGo Privacy Essentials
DuckDuckGo Privacy Essentials comes packed with best-in-class privacy essentials and makes browsing in Firefox even faster.
Escape Online Tracking — automatically block hidden third-party trackers we can find lurking on websites you visit, which stops the companies behind those trackers from collecting and selling your data. Search Privately — our private search engine comes built-in so you can search the Internet without being tracked. Enforce Encryption — force sites to use an encrypted (HTTPS) connection where available, protecting your data from prying eyes, like from unwanted snoopers and Internet service providers. Decode Privacy — each site you visit gets a Privacy Grade (A-F) so you can see how protected you are at a glance, and you can even dig into the details to see who we caught trying to track you.
Firefox Multi-Account Containers (This is a must have)
The Firefox Multi-Account Containers extension lets you carve out a separate box for each of your online lives – no more opening a different browser just to check your work email! Here is a quick video showing you how it works.
Under the hood, it separates website storage into tab-specific Containers. Cookies downloaded by one Container are not available to other Containers. With the Firefox Multi-Account Containers extension, you can…
Sign in to two different accounts on the same site for example, you could sign in to work email and home email in two different Container tabs. Keep different kinds of browsing far away from each other (for example, you might use one Container tab for managing your Checking Account and a different Container tab for searching for new songs by your favorite band).
Avoid leaving social-network footprints all over the web (for example, you could use a Container tab for signing in to a social network, and use a different tab for visiting online news sites, keeping your social identity separate from tracking scripts on news sites).
Next time I’ll tell you all about the changes I made on my phone.


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MusicBox Schema Instructions
You are in charge of implementing the schema found in database-schema.png. You will implement the database using SQL. After it, you will drop the database and implement it again using Sequelize.
Before you start, create a user called “musicbox_app” with a password and CREATEDB privileges.
- SQL Practice
- Create a database called “musicbox” with owner “musicbox_app”
- Create the three tables in the schema “Genres”, “Albums” and “Artists”. Ensure that you capture the associations as foreign keys in your tables
- Create a sql file with seed data from
data-seed.txt
. Seed your database.
- Write the following queries in SQL
- Find the release date for all the albums by The Beatles.
- Find the artist for the album The Life of Pablo.
- Find all the albums along with their genres and artists.
- Sequelize Practice
- Drop the database called “musicbox”
- Use sequelize to initialize a project
- Update config/config.json with your “musicbox_app” user and the “musicbox” database
- Utilize sequelize_cli model:generate to create the three Models that correspond to every table in the schema. Remember that
sequelize model:generate
takes the singular model names (“Genre”, “Album” and “Artist”) and will generate a migration file with the pluralized table names (“Genres”, “Albums”, and “Artists”).
- Update the migrations files with validations and references
- Update the models with the associations in the schema
- Utilize sequelize-cli seed:generate to create seed files for each Model, and migrate the data in
data-seed.txt
into these files.
- Create a new file called
queries.js
in the top level of your application.
- Require your three models:
Using the Sequelize query syntax, prepare three functions that will return the values specified in these queries:
- Find the release date for all the albums by The Beatles.
- Find the artist for the album The Life of Pablo.
- Find all the albums along with their genres and artists.


Sinks located inside a PostMessage handler missing a proper origin check.
This class of XSS is only triggered after an event is fired


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End
Ethnicity
Theme
Events
Count
Expenditure
Theme
Field
Field
V2
Fields
Matching
Financial
Products
Theme
Fire
Department
Fire
Department
Contact
Details
Fire
Event
Fire
Events
Response
Fire
History
Fire
Risk
ByAddress
Request
Fire
Risk
ByLocation
Request
Fire
Risk
Location
Response
Fire
Risk
Location
Response
List
Fire
Risk
Response
Fire
Risk
Response
List
Fire
Shed
Fire
Station
Fire
Station
Contact
Details
Fire
Stations
Fire
Stations
Location
Flood
Boundary
Flood
Hazard
Preferences
Flood
Risk
ByAddress
Request
Flood
Risk
ByLocation
Request
Flood
Risk
Location
Response
Flood
Risk
Location
Response
List
Flood
Risk
Preferences
Flood
Risk
Response
Flood
Risk
Response
List
Flood
Zone
Gender
Theme
Geo
Enrich
Metadata
Response
Geo
Enrich
Response
Geo
Identity
Name
Geo
Identity
Place
Geo
Identity
Response
Geo
Location
Access
Point
Geo
Location
Country
Geo
Location
Device
Satus
Geo
Location
Fixed
Line
Geo
Location
Fixed
Line
Country
Geo
Location
IpAddr
Geo
Location
Place
Geo
Location
State
Geo
Pos
Geo
Post
Geometry
Geo
Property
Address
Request
Geo
PropertyPBKey
Request
Geo
PropertyPBKey
Response
Geo
PropertyPBKey
Responses
Geo
Property
Response
Geo
Property
Responses
Geo
Risk
Boundaries
Geo
Risk
Crime
Theme
Geo
Risk
Geometry
Geo
Risk
Locations
Geo
Route
Response
Geo
Tax
Locations
Geo
Tax
Rate
Locations
Geocode
Address
Geocode
Capabilities
Response
Geocode
Custom
Preferences
Geocode
Preferences
Geocode
Request
Geocode
Request
Address
Geocode
Service
Response
Geocode
Service
Response
List
Geometry
Geosearch
Location
Geosearch
Locations
Global
Ultimate
Business
Grid
Health
Theme
Household
Finance
Household
Size
Theme
Households
Theme
Housing
Theme
IPDTax
ByAddress
Batch
Request
IPDTax
Jurisdiction
Identity
Identity
Detail
Income
Theme
Income
Theme
V2
Index
Variable
Individual
Value
Variable
Individual
Value
Variable
V2
Input
Parameter
Interest
Ip
Info
Ipd
LIAPIGeo911
Service
Api
LIAPIGeo
Comm
Service
Api
LIAPIGeo
Enrich
Service
Api
LIAPIGeo
Identity
Service
Api
LIAPIGeo
Life
Service
Api
LIAPIGeo
Location
Service
Api
LIAPIGeo
Post
Service
Api
LIAPIGeo
Property
Service
Api
LIAPIGeo
Risk
Service
Api
LIAPIGeo
Route
Service
Api
LIAPIGeo
Search
Service
Api
LIAPIGeo
Tax
Service
Api
LIAPIGeo
Time
Service
Api
LIAPIGeo
Zone
Service
Api
LIAPIGeocode
Service
Api
Lat
Long
Fields
Life
Style
Theme
Lifestyle
Location
Magnitude
Marital
Status
Theme
Match
Matched
Address
Matrix
Mcd
Neighborhood
Network
OAuth
Operation
Organization
Type
Output
Parameter
PBKey
Address
Request
PBKey
Response
PBKey
Response
List
POIPlaces
PSAPResponse
Parent
Business
Pb
Key
Photo
Place
ByLocations
Place
ByLocations
Location
Place
Location
Place
Location
Name
Poi
Classification
Poi
Contact
Details
Points
Polygon
Geometry
Population
Theme
Preferences
Primary
Zone
Profile
Properties
Property
Proxy
Purchasing
Behavior
Theme
Race
And
Ethnicity
Theme
Race
Theme
Range
Variable
Range
Variable
V2
Rate
Rate
Center
Response
Return
Fields
Descriptor
Reverse
Geocode
Request
Risk
Risk
Address
Route
Boundary
Route
Delivery
Route
Direction
Route
Directions
Route
Geometry
Sales
Tax
Sales
Tax
Rate
Sales
Volume
Segmentation
Segmentation
Themes
Shore
Line
Distance
Sic
Sic
Metadata
Site
Details
Special
Purpose
District
Special
Purpose
District
Tax
Special
Purpose
District
Tax
Rate
Start
Start
End
Point
Status
Supply
And
Demand
Theme
Support
Level
Tax
Address
Tax
Address
Request
Tax
Batch
Location
Response
Tax
Batch
Response
Tax
County
Tax
District
Response
Tax
District
Response
List
Tax
Jurisdiction
Tax
Location
Preferences
Tax
Location
Request
Tax
Location
Responses
Tax
Place
Tax
Rate
Address
Tax
Rate
Address
Request
Tax
Rate
Batch
Location
Response
Tax
Rate
Batch
Response
Tax
Rate
Location
Request
Tax
Rate
Location
Responses
Tax
Rate
Response
Tax
Rate
Responses
Tax
Response
Tax
Responses
Tax
State
Time
Timezone
Timezone
Location
Topic
Travel
Boundaries
Travel
Boundary
Travel
Cost
Matrix
Response
Type
Url
Use
Tax
Use
Tax
Rate
Water
Body
Water
Body
Location
Response
Water
Body
Response
o
Auth
Cred
Info
Authentication
Generated using
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‘Governor With Swag’ – Onoja Praises Yahaya Bello Of Kogi State
by Oladipo AbiolaOnoja Eulogizes Bello
The Deputy Governor of Kogi State, Edward Onoja, has heaped praises on the Executive Governor of Kogi State, Yahaya Bello.
In a tweet on Sunday, Onoja described Yahaya Bello as a “governor with swag”.
The ‘swag’ description was only one of the many things Onoja said to eulogize the Governor. He also described him as a “boss, leader and friend”.
And he also added in his tweet: “My boss, my leader my friend. Governor with swag! Who want tamper there?”
Naija News reports until last month, Onoja was the chief of staff to Bello but he emerged the deputy governor of the state following the controversial removal of Simon Achuba by the Kogi State house of assembly.
See the tweet:


vignettes/tabyls.Rmd
tabyls.Rmd
Analysts do a lot of counting. Indeed, it’s been said that “data science is mostly counting things.” But the base R function for counting, table()
, leaves much to be desired:
%>%
pipe)tabyl()
is an approach to tabulating variables that addresses these shortcomings. It’s part of the janitor package because counting is such a fundamental part of data cleaning and exploration.
tabyl()
is tidyverse-aligned and is primarily built upon the dplyr and tidyr packages.
On its surface, tabyl()
produces frequency tables using 1, 2, or 3 variables. Under the hood, tabyl()
also attaches a copy of these counts as an attribute of the resulting data.frame.
The result looks like a basic data.frame of counts, but because it’s also a tabyl
containing this metadata, you can use adorn_
functions to add additional information and pretty formatting.
The adorn_
functions are built to work on tabyls
, but have been adapted to work with similar, non-tabyl data.frames that need formatting.
This vignette demonstrates tabyl
in the context of studying humans in the starwars
dataset from dplyr:
Tabulating a single variable is the simplest kind of tabyl:
library(janitor) #> #> Attaching package: 'janitor' #> The following objects are masked from 'package:stats': #> #> chisq.test, fisher.test t1 <- humans %>% tabyl(eye_color) t1 #> eye_color n percent #> blue 12 0.34285714 #> blue-gray 1 0.02857143 #> brown 17 0.48571429 #> dark 1 0.02857143 #> hazel 2 0.05714286 #> yellow 2 0.05714286
When NA
values are present, tabyl()
also displays “valid” percentages, i.e., with missing values removed from the denominator. And while tabyl()
is built to take a data.frame and column names, you can also produce a one-way tabyl by calling it directly on a vector:
x <- c("big", "big", "small", "small", "small", NA) tabyl(x) #> x n percent valid_percent #> big 2 0.3333333 0.4 #> small 3 0.5000000 0.6 #> <NA> 1 0.1666667 NA
Most adorn_
helper functions are built for 2-way tabyls, but those that make sense for a 1-way tabyl do work:
t1 %>% adorn_totals("row") %>% adorn_pct_formatting() #> eye_color n percent #> blue 12 34.3% #> blue-gray 1 2.9% #> brown 17 48.6% #> dark 1 2.9% #> hazel 2 5.7% #> yellow 2 5.7% #> Total 35 100.0%
This is often called a “crosstab” or “contingency” table. Calling tabyl
on two columns of a data.frame produces the same result as the common combination of dplyr::count()
, followed by tidyr::pivot_wider()
to wide form:
t2 <- humans %>% tabyl(gender, eye_color) t2 #> gender blue blue-gray brown dark hazel yellow #> feminine 3 0 5 0 1 0 #> masculine 9 1 12 1 1 2
Since it’s a tabyl
, we can enhance it with adorn_
helper functions. For instance:
t2 %>% adorn_percentages("row") %>% adorn_pct_formatting(digits = 2) %>% adorn_ns() #> gender blue blue-gray brown dark hazel yellow #> feminine 33.33% (3) 0.00% (0) 55.56% (5) 0.00% (0) 11.11% (1) 0.00% (0) #> masculine 34.62% (9) 3.85% (1) 46.15% (12) 3.85% (1) 3.85% (1) 7.69% (2)
Adornments have options to control axes, rounding, and other relevant formatting choices (more on that below).
Just as table()
accepts three variables, so does tabyl()
, producing a list of tabyls:
t3 <- humans %>% tabyl(eye_color, skin_color, gender) # the result is a tabyl of eye color x skin color, split into a list by gender t3 #> $feminine #> eye_color dark fair light pale tan white #> blue 0 2 1 0 0 0 #> blue-gray 0 0 0 0 0 0 #> brown 0 1 4 0 0 0 #> dark 0 0 0 0 0 0 #> hazel 0 0 1 0 0 0 #> yellow 0 0 0 0 0 0 #> #> $masculine #> eye_color dark fair light pale tan white #> blue 0 7 2 0 0 0 #> blue-gray 0 1 0 0 0 0 #> brown 3 4 3 0 2 0 #> dark 1 0 0 0 0 0 #> hazel 0 1 0 0 0 0 #> yellow 0 0 0 1 0 1
If the adorn_
helper functions are called on a list of data.frames - like the output of a three-way tabyl
call - they will call purrr::map()
to apply themselves to each data.frame in the list:
library(purrr) humans %>% tabyl(eye_color, skin_color, gender, show_missing_levels = FALSE) %>% adorn_totals("row") %>% adorn_percentages("all") %>% adorn_pct_formatting(digits = 1) %>% adorn_ns %>% adorn_title #> $feminine #> skin_color #> eye_color fair light #> blue 22.2% (2) 11.1% (1) #> brown 11.1% (1) 44.4% (4) #> hazel 0.0% (0) 11.1% (1) #> Total 33.3% (3) 66.7% (6) #> #> $masculine #> skin_color #> eye_color dark fair light pale tan white #> blue 0.0% (0) 26.9% (7) 7.7% (2) 0.0% (0) 0.0% (0) 0.0% (0) #> blue-gray 0.0% (0) 3.8% (1) 0.0% (0) 0.0% (0) 0.0% (0) 0.0% (0) #> brown 11.5% (3) 15.4% (4) 11.5% (3) 0.0% (0) 7.7% (2) 0.0% (0) #> dark 3.8% (1) 0.0% (0) 0.0% (0) 0.0% (0) 0.0% (0) 0.0% (0) #> hazel 0.0% (0) 3.8% (1) 0.0% (0) 0.0% (0) 0.0% (0) 0.0% (0) #> yellow 0.0% (0) 0.0% (0) 0.0% (0) 3.8% (1) 0.0% (0) 3.8% (1) #> Total 15.4% (4) 50.0% (13) 19.2% (5) 3.8% (1) 7.7% (2) 3.8% (1)
This automatic mapping supports interactive data analysis that switches between combinations of 2 and 3 variables. That way, if a user starts with humans %>% tabyl(eye_color, skin_color)
, adds some adorn_
calls, then decides to split the tabulation by gender and modifies their first line to humans %>% tabyl(eye_color, skin_color, gender
), they don’t have to rewrite the subsequent adornment calls to use map()
.
However, if feels more natural to call these with map()
or lapply()
, that is still supported. For instance, t3 %>% lapply(adorn_percentages)
would produce the same result as t3 %>% adorn_percentages
.
tabyl
will show missing levels (levels not present in the data) in the result
NA
values can be displayed or suppressedtabyls
print without displaying row numbersYou can call chisq.test()
and fisher.test()
on a two-way tabyl to perform those statistical tests, just like on a base R table()
object.
adorn_*
functionsThese modular functions build on a tabyl
to approximate the functionality of a PivotTable in Microsoft Excel. They print elegant results for interactive analysis or for sharing in a report, e.g., with knitr::kable()
. For example:
humans %>% tabyl(gender, eye_color) %>% adorn_totals(c("row", "col")) %>% adorn_percentages("row") %>% adorn_pct_formatting(rounding = "half up", digits = 0) %>% adorn_ns() %>% adorn_title("combined") %>% knitr::kable()
| gender/eye_color | blue | blue-gray | brown | dark | hazel | yellow | Total |
|---|---|---|---|---|---|---|---|
| feminine | 33% (3) | 0% (0) | 56% (5) | 0% (0) | 11% (1) | 0% (0) | 100% (9) |
| masculine | 35% (9) | 4% (1) | 46% (12) | 4% (1) | 4% (1) | 8% (2) | 100% (26) |
| Total | 34% (12) | 3% (1) | 49% (17) | 3% (1) | 6% (2) | 6% (2) | 100% (35) |
adorn_totals()
: Add totals row, column, or both.adorn_percentages()
: Calculate percentages along either axis or over the entire tabyladorn_pct_formatting()
: Format percentage columns, controlling the number of digits to display and whether to append the %
symboladorn_rounding()
: Round a data.frame of numbers (usually the result of adorn_percentages
), either using the base R round()
function or using janitor’s round_half_up()
to round all ties up (thanks, StackOverflow).
round(10.5)
.adorn_rounding()
returns columns of class numeric
, allowing for graphing, sorting, etc. It’s a less-aggressive substitute for adorn_pct_formatting()
; these two functions should not be called together.adorn_ns()
: add Ns to a tabyl. These can be drawn from the tabyl’s underlying counts, which are attached to the tabyl as metadata, or they can be supplied by the user.adorn_title()
: add a title to a tabyl (or other data.frame). Options include putting the column title in a new row on top of the data.frame or combining the row and column titles in the data.frame’s first name slot.These adornments should be called in a logical order, e.g., you probably want to add totals before percentages are calculated. In general, call them in the order they appear above.
You can also call adorn_
functions on other data.frames, not only the results of calls to tabyl()
. E.g., mtcars %>% adorn_totals("col") %>% adorn_percentages("col")
performs as expected, despite mtcars
not being a tabyl
.
This can be handy when you have a data.frame that is not a simple tabulation generated by tabyl
but would still benefit from the adorn_
formatting functions.
A simple example: calculate the proportion of records meeting a certain condition, then format the results.
percent_above_165_cm <- humans %>% group_by(gender) %>% summarise(pct_above_165_cm = mean(height > 165, na.rm = TRUE)) percent_above_165_cm %>% adorn_pct_formatting() #> # A tibble: 2 x 2 #> gender pct_above_165_cm #> <chr> <chr> #> 1 feminine 12.5% #> 2 masculine 100.0%
You can control which columns are adorned by using the ...
argument. It accepts the tidyselect helpers. That is, you can specify columns the same way you would using dplyr::select()
.
For instance, say you have a numeric column that should not be included in percentage formatting and you wish to exempt it. Here, only the count
column is adorned:
mtcars %>% count(cyl, gear) %>% rename(proportion = n) %>% adorn_percentages("col", na.rm = TRUE, proportion) %>% adorn_pct_formatting(,,,proportion) # the commas say to use the default values of the other arguments #> cyl gear proportion #> 4 3 3.1% #> 4 4 25.0% #> 4 5 6.2% #> 6 3 6.2% #> 6 4 12.5% #> 6 5 3.1% #> 8 3 37.5% #> 8 5 6.2%
Here we specify that only two consecutive numeric columns should be totaled (year
is numeric but should not be included):
cases <- data.frame( region = c("East, West"), year = 2015, recovered = c(125, 87), died = c(13, 12), stringsAsFactors = FALSE ) cases %>% adorn_totals(c("col", "row"), fill = "-", na.rm = TRUE, name = "Total Cases", recovered:died) #> region year recovered died Total Cases #> East, West 2015 125 13 138 #> East, West 2015 87 12 99 #> Total Cases - 212 25 237
Here’s a more complex example that uses a data.frame of means, not counts. We create a table containing the mean of a 3rd variable when grouped by two other variables, then use adorn_
functions to round the values and append Ns. The first part is pretty straightforward:
library(tidyr) # for spread() mpg_by_cyl_and_am <- mtcars %>% group_by(cyl, am) %>% summarise(mpg = mean(mpg)) %>% spread(am, mpg) mpg_by_cyl_and_am #> # A tibble: 3 x 3 #> # Groups: cyl [3] #> cyl `0` `1` #> <dbl> <dbl> <dbl> #> 1 4 22.9 28.1 #> 2 6 19.1 20.6 #> 3 8 15.0 15.4
Now to adorn_
it. Since this is not the result of a tabyl()
call, it doesn’t have the underlying Ns stored in the core
attribute, so we’ll have to supply them:
mpg_by_cyl_and_am %>% adorn_rounding() %>% adorn_ns( ns = mtcars %>% # calculate the Ns on the fly by calling tabyl on the original data tabyl(cyl, am) ) %>% adorn_title("combined", row_name = "Cylinders", col_name = "Is Automatic") #> Cylinders/Is Automatic 0 1 #> 1 4 22.9 (3) 28.1 (8) #> 2 6 19.1 (4) 20.6 (3) #> 3 8 15.1 (12) 15.4 (2)
If needed, Ns can be manipulated in their own data.frame before they are appended. E.g., if you have a tabyl with values of N in the thousands, you could divide them by 1000, round, and append “k” before inserting them with adorn_ns
.
File an issue on GitHub if you have suggestions related to tabyl()
and its adorn_
helpers or encounter problems while using them.


Here's a test to compare the "markup builder" with the "manual markup".
Original images: here
and here
Original image: here


--- layout: archive title: Zulip Chat Archive permalink: /stream/144837-PR-reviews/topic/.23442.20troubles.20with.20with_bot.html ---
Is there anything wrong with this PR?
@Kevin Buzzard @Chris Hughes I can't do PLUS Q5 with this PR unmerged
Well that gives you 13 days ;-)
Merge it into your local copy of mathlib then or something/
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


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bottom_image: https://unsplash.it/2000/1322?a=.png
---
Frisco helps you find new friends with common interests. Search for a
new Tennis partner, find a baking side-kick or befriend a new drinking
buddy.
Make a new friend today
Making news friends in the adult world is hard. Frisco is the perfect filter matching you the most interesting people in your area.
The more you tell Frisco the better it gets to know you. Frisco matches you with people who share similar interests with you.
Frisco shows you cards with people who might be a good match for friendship. Swipe left to move to the next card or right to start talking.
It's free, fun and an exciting way to meet new people.


---
layout: member-page
title: Brendan Valley
class_of: 2019
bio: "Hello, I'm Brendan and I typically am a variety man when it comes to game development. I love composing 8-bit music, drawing pixel art, and working in GameMaker and Unity.
I'm currently at the Entertainment Technology Center for my masters in Entertainment Technology."
last_updated: December 17, 2019
# Optional
website: "https://www.brendanvalley.com/"
profile_pic: BrendanValley.jpg
---


Gembella
Porsche customizer Gemballa from Leonberg thrills the hearts of the drivers of the noble Porsche-SUV by its new high-performance cure, the Gemballa V6 Turbo conversion kit for the Porsche Cayenne V6, for the Cayenne V6 reaches new dimensions of performance with the help of the new Gemballa conversion kit.


Cedar Point is called the Roller Coaster Capital of the World due to having roller coasters that go 120 mph and have 80 degree drops! Plus, it has other thrill rides, family rides, live entertainment and shows, as well as water rides and great places to eat. Entry fees vary depending on age and groups of 15 or more can get special deals and discounts on rides and food packages.
Families can have the thrill of a lifetime with a choice of six different magical lands in this Orlando dream theme park. There are plenty of rides for all ages, as well as characters from Disney movies and books, attractions like Adventure Land, Tomorrow Land, Main Street, or Fantasy Land, as well as parades, fireworks, night events, food and drinks, and more. Park hours depend on the time of year, and single day tickets are $89 for adults and $83 for kids three to nine.
Kings Island Theme Park offers families over 80 different exciting rides and attractions that will make all ages happy. It's the biggest amusement and water park in this part of the US featuring the famous Diamondback Roller Coaster that goes 80mph, as well as the Vortex, the Beast and Windseeker thrill rides. Plus, there is Planet Snoopy for the little kids. The water slide area features slides and wave pools.
Hershypark is owned by Hershey Entertainment & Resorts, which is devoted to preserving Milton S. Hershey's legacy. It is a fun place for singles, couples or families and offers activities like Hersheypark in the Dark, rides such as roller coasters, water rides, family and kiddie rides, as well as entertainment, food, drink and more. Children 2 and under are free, 3-9 and seniors over 54 are $23 and 9-54 are $34 for day tickets.
Six Flags Magic Mountain is another park the whole family will love. The fun begins with the famous Batman the Ride' roller coaster and the Apocalypse roller coaster with its 52mph drops to less scary rides for the little ones, as well as live entertainment like meet and greets with the Justice League, a hypnotist show and the Loony Tunes Kid's Show. Plus there is food, drink, souvenirs, and special events like Holiday in the Park and Fright Fest.
Busch Gardens offers something for everyone such as rides, entertainment, animal encounters, and historic picturesque places to explore. The kids can sing with Emo, pet a wild lorikeet bird, ride a roller coaster, or learn about bald eagles. It has been voted as the world's most beautiful theme park for the past 23 years. There are also annual events like the Food and Wine Festival in summer, Christmas Town in winter and the Howl O Scream Halloween adventure in the autumn.
Knott's Berry Farm offers visitors more than 165 rides, attractions and entertaining shows. It also features one of the largest Halloween events called Knott's Scary Farm with 13 mazes, live shows, and plenty of monsters walking around. For less scary fare, the kids can enjoy Camp Snoopy. The older kids and adults can have fun riding the thrill rides like the Silver Bullet roller coaster, a horseback rely ride called the Pony Express, Ghost Town, and dozens of other exciting and fun activities.
Dollywood is an award winning park in the Great Smokey Mountain region. It is 150 acres of everything from shows and demonstrations to rides and attractions. It's named after country western legend Dolly Pardon. There are 5 different festivals throughout the year, so every visit offers something different for the whole family. There's also a water park, cabins for those who wish to stay overnight, and a 300 room hotel luxury resort.
Six Flags Great America is a mix of a water park and thrill ride amusement park for the whole family between Chicago and Milwaukee. It features 14 roller coasters, as well as 3 areas for little kids, and a 20 acre water park. There are also live shows, food and even childcare options. Admission is $45 for children and $65 for adults, but they do also offer a $72 season pass, which is the best deal if you plan to go more than once.
LEGOLAND California Resort is only a half hour from San Diego, making it easy to access. There are over 60 rides, entertaining shows and other attractions. It is a fun, hands-on experience for families and kids ages 2 to 12 years old. Plus there is a Legoland Water Park, as well as a special themed Legoland hotel resort near the beach and a sea life aquarium.p>


Top 10 Movies
- Lucky Number Slevin
- Grandma's Boy
- The Imaginirium of Dr. Pernasus
- Ender's Game
- Star Wars
- Jurassic Park
- Matrix
- National Treasure
- Man on Fire
- The Minority Report
Quick AutoBio
A Seattle native, I was born at Swedish Hospital on Beacon Hill in 1989. I attended High School at John F. Kennedy Memorial from 2004-2008 where I excelled in Mathematics, Socializing, and Soccer. After some time in college I decided to take a new route and began working in the food service industry. While working at Husky I learned a plethoria of new skills and met the love of my life, Taylor. after dating for some time Taylor and I began renting together and lived in our quiet apartment in West Seattle until the fall of 2017, when a ravage bush fire destroyed our unit along with 5 others as well. In 2018 I began a new journey with my eyes set on coding in the tech world. That story has yet to unfold.
Education
Much of my early education came from the Catholic school system. This is a great foundation, in my opinion, because the focus on human values and just being kind to others was rooted in me at a young age. Over time these values have really hellped me flourish into the honest person I believe I am today. In Fall of 2008 I attended the University of Colorado at Colorado Springs where I accrued education in Mathematics, Engineering, and human studies (i.e. Philosophy, Psycology, and Men & Woman studies). I did not graduate from UCCS and in 2011 I left the school for a new horizon. In Spring of 2012 I attended Gonzaga University where again I continued to study Physics and Engineering. The life style as a transfer student in their junior year was not an easy task and after just 2 semesters I packed my bags at went back home. Although I attened both Highline and Seattle Central College, neither provided a place where I thrived in my studies and ultimately I dropped out of both schools. Currently I study coding languages at Code Fellows.
Hobbies
In my free time I enjoy a multitude of activities, some physically active and others not as much. I am an avid sports fan and play Fantasy Football every year (I am the reigning Champion for 2017-2018 season). I enjoy hiking with my fiance Taylor and our 2-year-old English Bulldog. I enjoy a pick-up game of soccer every now and then, how ever the work playing goalkeeper has done to my body really deters that from being a regular activity of mine. I am a huge tabletop gamer! I play a lot of Magic the Gathering, Catan (all versions), Hearthstone, beer pong (which is technically on a table), and virtually any game someone brings over to try out.


Spyre¶
Spyre is a Web Application Framework for providing a simple user interface for Python data projects.
Requirements¶
Spyre runs on the minimalist python web framework, cherrypy , with jinja2 templating. At it’s heart, spyre is about data and data visualization, so you’ll also need pandas and matplotlib.
Installation¶
$ pip install dataspyre
The simplest of examples¶
Here’s a very simple spyre example that shows the primary components of a spyre app:
from spyre import server
import matplotlib.pyplot as plt
import numpy as np
class SimpleSineApp(server.App):
title = "Simple Sine App"
inputs = [{ "type":"text",
"key":"freq",
"value":5,
"action_id":"sine_wave_plot"}]
outputs = [{"type":"plot",
"id":"sine_wave_plot"}]
def getPlot(self, params):
f = float(params['freq'])
x = np.arange(0,2*np.pi,np.pi/150)
y = np.sin(f*x)
fig = plt.figure()
splt1 = fig.add_subplot(1,1,1)
splt1.plot(x,y)
return fig
app = SimpleSineApp()
app.launch()
The SimpleSineApp class inherits server.App which includes a few methods that you can override to generate outputs. In this case we want our app to display a Plot so we’ll overide the getPlot method. This method should return a matplotlib figure.
We also need specify the attributes of our inputs and outputs which we can do by defining the App’s inputs and outputs variables.
inputs¶
This is a list of input dictionaries. In our simple example above, there’s only one input, of type “text”. We give it a label and initial value with the keys “label” and “value”. The value from this input will be used as an input parameter when generating the outputs (a plot in this case), so we need to also give it a variable_name that we can reference in the getPlot method. “action_id” is an optional variable that equals either an output_id from the list of outputs, or a control_id from the list of controls (we’ll get to controls in the next example). When action_id is defined, a change in the input will result in either an update to the referenced output or a call to the functions connected to the referenced control.
outputs¶
output_types can be “plot”, “image”, “table”, “html”, or “download”. In addition to the output_type, we also need to provide a unique output_id. If this output is suppose to get updated on execution of one of the controls specified in the list of controls, we need to also specify the control_id of that controller. All outputs get generated on page load by default. If we want an output not to load on the page load, we can also set “on_page_load” to False.
controls¶
Controls are one mechanism by which a spyre app can update its outputs. The “control_id” can be referenced by either an input or an output. When an output references the control_id, executing the control updates that output. When an input references the controld_id (via the “action_id”), updating the input executes the control. The two control_types are “button” and “hidden”. “button” will add a button to the left panel. No control is added to the left-panel for control_types “hidden”. “hidden” controls are useful for linking a single input action to multiple outputs.
generating a plot¶
Let’s get back to our getPlot method. Notice that it takes a single argument: params. params is a dictionary containing:
- all of the input values (with key equal to the variable_name specified in the input dictionary)
- the output_id for the output that needs to get created.
For this simple example you can ignore the output_id. With the exception of the input type “checkboxgroup”, the value of each of the params is a string. In this example our one input variable represents a frequency, which is a number, so we’ll need to cast it as a float before we use it. The matplotlib figure returned by getPlot will be displayed in the right panel of our Spyre app.
launching the app¶
To launch our app we just need to create an instance of our SimpleSineApp class and call the launch method. The launch method takes to optional parameters: host and port. By default, apps are served locally on port 8080. Set host=‘<IP_ADDRESS>’ to serve your app to external traffic.
Assuming you name this file “simple_sine_example.py” you can launch this app from the command line with:
$ python simple_sine_example.py
The output will indicate where the app is being served (usually something like http://<IP_ADDRESS>:8080)
If all goes smoothly your spyre app should look like this:
Example 2: Tabs and Tables¶
Let’s look at another example to introduce controls, tabs, and a second output type, tables. Many apps will require multiple outputs. In these cases, it’s often cleaner to put each output in a separte tab.
In the example below we’ll show historical stock data in a line graph and a table, each in it’s own tab. Since inputs can only have a single action_id (and we have two outputs), we’ll need to introduce a button control in order to update both outputs:
from spyre import server
import pandas as pd
import urllib2
import json
class StockExample(server.App):
title = "Historical Stock Prices"
inputs = [{ "type":'dropdown',
"label": 'Company',
"options" : [ {"label": "Google", "value":"GOOG"},
{"label": "Yahoo", "value":"YHOO"},
{"label": "Apple", "value":"AAPL"}],
"key": 'ticker',
"action_id": "update_data"}]
controls = [{ "type" : "hidden",
"id" : "update_data"}]
tabs = ["Plot", "Table"]
outputs = [{ "type" : "plot",
"id" : "plot",
"control_id" : "update_data",
"tab" : "Plot"},
{ "type" : "table",
"id" : "table_id",
"control_id" : "update_data",
"tab" : "Table",
"on_page_load" : True }]
def getData(self, params):
ticker = params['ticker']
# make call to yahoo finance api to get historical stock data
api_url = 'https://chartapi.finance.yahoo.com/instrument/1.0/{}/chartdata;type=quote;range=3m/json'.format(ticker)
result = urllib2.urlopen(api_url).read()
data = json.loads(result.replace('finance_charts_json_callback( ','')[:-1]) # strip away the javascript and load json
self.company_name = data['meta']['Company-Name']
df = pd.DataFrame.from_records(data['series'])
df['Date'] = pd.to_datetime(df['Date'],format='%Y%m%d')
return df
def getPlot(self, params):
df = self.getData(params).set_index('Date').drop(['volume'],axis=1)
plt_obj = df.plot()
plt_obj.set_ylabel("Price")
plt_obj.set_title(self.company_name)
fig = plt_obj.get_figure()
return fig
app = StockExample()
app.launch(port=9093)
There’s a few things to point out here:
- This app uses a dropdown input type. It still has a label and variable_name (that’s common to all input types), but you now also need to enumerate all of the options for the dropdown menu. For each of the options, “label” is displayed in the menu and “value” is value of that input variable when that option is selected.
- The tabs variable is a list of tab names. These names are used as labels for the tabs as well as html ids so they can’t contain any spaces.
- There’s a “table” output type that requires all of the same attribute types as the plot output type.
- Additionally, we need to specify a “tabs” attribute for each output. This should match the name of one of the items listed in the tabs list.
- The control variable has control_type, label, and control_id attributes. Each output has an optional control_id attribute which can be used to reference a control. When a control action is taken (such as clicking a button), every output that references that control will be updated.
We’re also overriding getData, a method which should fetch or generate the data that will go into the table. Just like getPlot, it takes a params argument which is a dictionary containing all of our input variables. getData should return a pandas DataFrame.
Launch the app just as you did in the previous example. The app now has two tabs.
Plot tab¶
Table tab¶
License¶
MIT


number: {{card.number}}
title: {{card.title}}
type: {{card.type}}
story: {{card.story}}
priority: {{card.priority}}
labels: {{card.labels}}
status: {{card.status}}
resolution: {{card.resolution}}
description: {{card.description}}
attachment: {{card.attachment}}
owner: {{card.owner}}


About Ping Pong
Created by: Dinah Eric
Github username/url:
/dinaheric
Level 2 test
HTML & CSS3
Lets Play!
Rules
Ping pong will count up to your number form one with the following exceptions:
- Numbers divisible by 3 become Ping
- Numbers divisible by 5 become Pong
- Numbers divisible by 3 and 5 become PingPong


Home
About
Contact
Alan Naoto
Is building stuff
Projects
CARLA dataset collector
Build an automotive dataset for machine learning applications
Classification labelling tool
Clean your dataset
Object detection benchmarking
Comparing Raspberry Pi 3 Model B+'s inference performance with CPU and with Movidius Neural Compute stick


{% extends "layout.html" %}{% block contents %}
The survey data shows that the Hemoglobin , Packed cell volume , and Specific Gravity have 77% impact on deciding whether an individual is suffering from Chronic Kidney Disease or not


Interface IContainerRegistration
Information about the types registered in a container.
Types registered with container are stored in registry and exposed to outside world through Registrations enumeration. Each record is represented by an instance of this interface.
Namespace: Unity
Assembly: Unity.Abstractions.dll
Syntax
public interface IContainerRegistration
Properties
| Improve this Doc View SourceLifetimeManager
The lifetime manager for this registration.
Declaration
LifetimeManager LifetimeManager { get; }
Property Value
| Type | Description |
|---|---|
| LifetimeManager | Instance of lifetime manager associated with the registration |
Remarks
Each Unity registration is assigned a lifetime manager that controls how the container creates, manages, and disposes of created objects. Even if manager is not assigned explicitly, Unity will pick default type and add it to the registration.
See Also
| Improve this Doc View SourceMappedToType
The type that this registration is mapped to.
Declaration
Type MappedToType { get; }
Property Value
| Type | Description |
|---|---|
| Type | The type of object created when registered type is requested |
Remarks
Type MappedToType informs container how to build the requested instance. Based on how it was registered, the Type could be built from this registration or redirected to mapped registration to satisfy the request.
Name
Name the registered type. Null for default registration.
Declaration
string Name { get; }
Property Value
| Type | Description |
|---|---|
| String | Name of the registration |
Remarks
Each registration is uniquely identified by RegisteredType and Name.
Registering the same Type with different names will create distinct registrations
for each RegisteredType and Name combinations. Registration with no Name
(name == null
) is called default registration
. The container uses these as implicit defaults when required.
RegisteredType
Type of the registration.
Declaration
Type RegisteredType { get; }
Property Value
| Type | Description |
|---|---|
| Type | The type registered with the container |
Remarks
This Type is what container stores in its internal registry. When resolving, it will look for this Type to satisfy dependencies.


23 Mar 2016
•
AWS
•
Ops
Setting up a staging/development instance
It is recommended to have a instance on which activities like pulling the code from git and pushing it to Elastic Beanstalk (EB) can be done. This instance can also be used for development or testing purposes of your Django app.
Install the following packages on your instance:
Pip: apt-get install python-pip
Virtualenv: apt-get install python-virtualenv
Awsebcli: pip install awsebcli
- Create a virtual env:
virtualenv eb-virt
- Activate the env:
source ~/eb-virt/bin/activate
- Install Django using pip:
pip install django==1.9.2
- Verify Django is installed by running:
pip freeze
- Deactivate the environment:
deactivate
Creating a sample Django project
- Activate the env:
source ~/eb-virt/bin/activate
- Create a sample project:
django-admin startproject skywide
- Enter the project directory:
cd skywide
- Run the Django server:
python manage.py runserver <IP_ADDRESS>:8000
- Deactivate the environment before moving to the next step: deactivate
You can now see the following page by hitting the public IP of your instance in your browser. Example: <IP_ADDRESS>:8000
Now that Django is up and running on your EC2 instance, we can proceed to prepare it to be deployed on Elastic Beanstalk.
Configuring your application to work with Elastic Beanstalk
- Activate the virtual environment:
source ~/eb-virt/bin/activate
- Create a
requirements.txt
file. This file is used by EB to install the dependencies on the instances it will launch: pip freeze > requirements.txt
(Do verify that requirements.txt contains “django==1.9.2”)
- Create a new directory called
.ebextensions
inside ~/skywide. We will create a configuration file inside this directory later: mkdir .ebextensions
- Create a file
django.config
inside .ebextensions
containing the following code: This setting, WSGIPath
specifies the location of the WSGI script that Elastic Beanstalk uses to start your application.
- Finally, deactivate the virtual environment:
deactivate
Next step is to deploy your Django app to EB.
Deploying your applicaiton to Elastic Beanstalk
Make sure you have a directory structure is correct.
- Go inside your project directory (~/skywide) and create a new EB application (initiate the repository) with the following command:
eb init -p python3.4 skywide
- Run
eb init
again configure a default keypair that will be used to login to the instances launched by EB.
- Next, create an environment inside the application we just created:
eb create skywide-env
To see the app live, go to the Elastic Beanstalk console, click on the Application we created and then on the Environment created (skywide-env). Click on the URL listed at the top of the page and you willll see your app in action in your browser!
19 Mar 2016
•
AWS
•
Custom IAM Policies
The following policy restricts access of a user to the folder inside the bucket that is named after the user’s username. It is suited to be applied to IAM groups.
This helps create a bucket, inside which you can create several user directories and each directory can be accessed only by it’s owner.
Replace the following policy with your S3 bucket name. The policy assumes that the parent directory is a directory named “home”. If you have a differently named directory, replace all occurrences of “home” with the name of your directory.
{
"Version": "2012-10-17",
"Statement": [
{
"Action": ["s3:ListAllMyBuckets", "s3:GetBucketLocation"],
"Effect": "Allow",
"Resource": ["arn:aws:s3:::*"]
},
{
"Action": ["s3:ListBucket"],
"Effect": "Allow",
"Resource": ["arn:aws:s3:::bucket-name"],
"Condition":{"StringEquals":{
"s3:prefix":["","home/"],"s3:delimiter":["/"]}}
},
{
"Action": ["s3:ListBucket"],
"Effect": "Allow",
"Resource": ["arn:aws:s3:::bucket-name"],
"Condition":{"StringLike":{"s3:prefix":["home/${aws:username}/*"]}}
},
{
"Action":["s3:*"],
"Effect":"Allow",
"Resource": ["arn:aws:s3:::bucket-name;/home/${aws:username}"
"arn:aws:s3:::bucket-name/home/${aws:username}/*"]
}
]
}
24 Feb 2016
•
AWS
About Route 53
Amazon Route 53 is a Domain Name System (DNS) owned and provided by AWS. Being part of the AWS ecosystem, it works well with other services like EC2 instances, Elastic Load Balancing, S3 storage etc compared to other Domain Registrars. So if your infrastructure is completely built on AWS, you should consider moving your DNS to Route 53 since it would help create a homogeneous environment.
Here are a few common use-cases along with a broad overview of the process steps:
Migrating an existing domain’s DNS to Route 53
- Create a Hosted Zone and enter the existing domain name (www.example.com)
- Add a Record Set to the Hosted Zone and add the IP of the server as a A record (also create MX, CNAME and other records depending on your requirement)
- Copy the four name servers provided by the Hosted Zone
- Log in to your domain registrar’s control panel/admin console. If your registrar supports TTL modification, It is recommended to set it to 900 seconds for a quicker propagation. Replace your domain registrar’s NS records with the four name servers you copied from Route 53.
- The DNS propagation from your domain registrar to Route 53 will take 48 hours or more.
Migrating the sub-domain DNS to Route 53 without migrating the parent domain
- Create a Hosted Zone and enter the sub domain name (www.aws.example.com)
- Add a Record Set to the hosted zone and add the IP of the server as a A record (similarly add MX, CNAME records if required)
- Copy the four name servers provided by the Hosted Zone. Replace the NS Records of the registrar with these name servers
Important: Do not add a start of authority (SOA) record to the zone file for the parent domain. Reason for this being since the sub-domain will use Amazon Route 53, the DNS service for the parent domain is not the authority for the sub-domain.
Private Hosted Zone
- Private Hosted Zone is a Hosted Zone for managing domains within an AWS VPC
- First step is to set the following Amazon VPC settings to
true
:
- enableDnsHostnames
- enableDnsSupport
- On the Route 53 page, click on Create Hosted Zone.
- Next, in the Create Private Hosted Zone pane, enter your domain name. Select Private Hosted Zone for Amazon VPC in the Type list.
- Finally, in the VPC ID list, select the VPC you want to associate with Route 53.
- Click on Create. Your VPC should get linked with Route 53 within a few minutes.
Integration with other AWS Services
Once a Hosted Zone is created, incorporating other AWS Services into Route 53 is just a matter of creating a few record sets. Here’s a list of the record sets needed for the corresponding AWS services.
- EC2: Create an A record with the Elastic IP of the instance
- ELB: Add public DNS of the load balancer to a CNAME record
- CloudFront: Add Distribution URL to a CNAME record
- S3: Add the Bucket URL to a CNAME record
- RDS: Add the RDS endpoint to a CNAME record
12 Feb 2016
•
Automation
•
AWS
•
Ops
Why use Vagrant to launch EC2 instance?
EC2 instances can be deployed seamlessly using Vagrant. Once you setup Vagrant and configure it, launching an EC2 instance becomes as easy as running the command vagrant up. Such automation is especially useful when you have to launch a large fleet of EC2 instances quickly.
Setting up Vagrant on your machine
- Install vagrant:
`sudo apt-get install vagrant` 2. Initialize vagrant:
`vagrant init hashicorp/precise32`
`vagrant up`
(This will download the example virtualbox image from vagrant servers. It might take a few minutes) 3. Install vagrant aws plugin:
`sudo vagrant plugin install vagrant-aws` 4. Get the AWS Box image:
`vagrant box add dummy https://github.com/mitchellh/vagrant-aws/raw/master/dummy.box`
Launching the instance
- Create a directory in your home folder and from inside the directory, run
`vagrant init hashicorp/precise32`
(This will create a “Vagrantfile” in your directory) 2. Open your Vagrantfile, clear all contents and add the following. Please modify the values wherever necessary.
-
Save the file and run:
vagrant up --provider=aws
-
Your instance should be up and running in a few minutes.
The above configuration only contains the bare essential configurations. Here are some more configuration parameters.
|
availability_zone
|
Specify the desired availability zone. (ap-southeast-1a)
|
|
instance_type
|
The default value of this if not specified is “m3.medium”
|
|
private_ip_address
|
The private IP address to assign to an instance within a VPC
|
|
instance_ready_timeout
|
The number of seconds to wait for the instance to become “ready” in AWS. Defaults to 120 seconds
|
|
instance_package_timeout
|
The number of seconds to wait for the instance to be burnt into an AMI during packaging. Defaults to 600 seconds
|
|
elastic_ip
|
Can be set to ‘true’, or to an existing Elastic IP address
|
|
security_groups
|
An array of security groups for the instance. If this instance will be launched in VPC, this must be a list of security group Name. For a non-default VPC, you must use security group IDs instead
|
|
subnet_id
|
The subnet to launch the instance inside
|
|
associate_public_ip
|
true/false. If true, will associate a public IP address to an instance in a VPC
|
The full list of options can be found here: https://github.com/mitchellh/vagrant-aws#configuration
Note: This guide is written for a *nix environment. The steps are similar for Windows based environments.
28 Dec 2015
•
AWS
•
Custom IAM Policies
This policy restricts an IAM user to perform start and stop actions only on instances having their IDs specified in the Resource attribute of the policy.
In order to further restrict the actions that can be performed, additional actions like “ec2:TerminateInstances” can be added.


Plain of Tears [ar33], plain, in Mandoria, peasants: 155
Last updated Turn #138
Plain of Tears [ar33], plain, in Mandoria, peasants: 155
------------------------------------------------------------------------
30: The population grows by one peasant.
Routes leaving Plain of Tears:
North, plain, to Plain of Tears [aq33], 7 days
Garrison [cs5z], garrison, uncontrolled, with ten peasants
East, plain, to Plain of Tears [ar34], 7 days
South, plain, to Plain of Tears [as33], 7 days
Garrison [ia6q], garrison, uncontrolled, with ten peasants
West, plain, to Plain of Tears [ar32], 7 days
Garrison [bj6y], garrison, uncontrolled, with ten peasants
Inner locations:
Rocky hill [ad9v], rocky hill, 1 day, owner:
Harpie [hq2e], harpies, number: 16
Seen here:
Garrison [gc8o], garrison, uncontrolled, with ten peasants


5/3/1 Calculator
5/3/1 Calculator
Based on Jim Wendler's 5/3/1 program and 1 rep max calculation formula.
Week
Week 1
Week 2
Week 3
Week 4
Calculate using 90% of max
Round weight up to nearest 5 units.
Overhead Press
1 Rep Max
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The recipes Darina Allen cooks for her family
When Darina cooks for her family, she focuses on simple recipes made with minimal effort
“Much depends on dinner! Our health,vitality, ability to concentrate, all depend to a great extent on the food we eat.
Consequently it’s well worth putting as much effort as possible into sourcing good, fresh naturally produced food in season. After all as our much-loved GP, the late Dr Derry McCarthy was fond of saying ‘if you don’t put the petrol in the tank, the car won’t go’. Food is, after all, the fuel to nourish our bodies.
Nowadays many of us spend our time racing from one thing to the next,always in a mad hurry —in many ways it’s just a habit – easy to acquire but so difficult to kick. When life takes on this frenetic quality, cooking or even stopping to eat meals properly is one of the first things to be sidelined.
Easy to get into the mindset that there are more important things to do than stopping to cook or even to eat a meal properly. A great mistake, apart from the obvious importance of the food we eat, one misses out on the relaxation and satisfaction of doing something different and dare I say creative.
Allow yourself the time to relax and have fun in the kitchen. One of the greatest pleasures in life and the one that so many memories are made of is sitting down together with family and friends around the kitchen table. When we share a meal a bond is formed, doesn’t have to be an elaborate feast, could just be a boiled egg and soldiers or a bowl of saucy pasta.
It’s particularly important to keep the tradition of family meals, this takes tremendous effort nowadays when family members are involved in so many activities, sports, classes, work commitments, are all reasons why family meals have to be eaten at different times, often on the run,but it’s worth making an effort to have a family meal where everyone sits down together, at least couple of times a week — even if everyone just argues occasionally it keeps the lines of communication open and it may turn into a fun time.
A quick message for those of you who are being cooked for — don’t forget to at least offer to help with the washing up and remember a big hug for the cook — it makes the world of difference!”
Saturday, 28th June, 2003
Risotto alla Parmigiana
Serves 6
Risotto is a brilliant standby, made in just 30 minutes, it can be basic with some freshly grated Parmesan or Pecorino, and it can include peas, broad beans, rocket leaves, roast tomatoes, shrimps,courgettes, mushrooms, smoked salmon, and much more besides can be added to enhance or embellish the risotto.
- 1-1.3L (1¾ - 2¼ pints) broth or light chicken stock
- 30g butter
- 1 onion, finely chopped
- 2 tablespoons olive oil
- 400g Arborio or Carnaroli rice
- 50g freshly grated Parmesan(Parmigiano Reggiano is best)
- sea salt
First bring the broth or stock to the boil, turn down the heat and keep it simmering. Melt the butter in a heavy bottomed saucepan with the oil, add the onion and sweat over a gentle heat for 4-5 minutes, until soft but not coloured.
Add the rice and stir until well coated (so far the technique is the same as for a pilaff and this is where people become confused). Cook for a minute or so and then add 150ml (¼pint) of the simmering broth, stir continuously and as soon as the liquid is absorbed add another 150ml (¼pint) broth. Continue to cook, stirring continuously.
The heat should be brisk, but on the other hand if it’s too hot the rice will be soft outside but still chewy inside. If it’s too slow, the rice will be gluey. It’s difficult to know which is worse so the trick is to regulate the heat so that the rice bubbles continuously. The risotto should take about 25-30 minutes to cook.
When it is cooking for about 20 minutes, add the broth about 4 tablespoons at a time. I use a small ladle. Watch it very carefully from there on.
The risotto is done when the rice is cooked but is still ever so slightly ‘al dente’. It should be soft and creamy and quite loose, rather than thick. The moment you are happy with the texture, stir in the remaining butter and Parmesan cheese, taste and add more salt if necessary. Serve immediately. Risotto does not benefit from hanging around.
Ballymaloe Irish Stew
Serves 4-6
The recipe varies from region to region. In Cork, carrots are a quintessential addition, not so in parts of Ulster.
- 1.35kg lamb chops (gigot or rack chops) not less than 2.5cm thick
- 8 medium or 12 baby carrots
- 8 medium or 12 baby onions
- 8-12 potatoes, or more if you like
- salt and freshly ground pepper
- 1.5 to 1.75 pints stock (lamb stock if possible) or water
- 1 sprig of thyme
- 1 tbsp roux, optional — see recipe
- Garnish
- 1 tbsp freshly chopped parsley
- 1 tbsp freshly chopped chives
Heat the oven to 180˚C/gas mark 4. Cut the chops in half and trim off some of the excess fat. Set aside. Render down the fat on a gentle heat in a heavy pan (discard the rendered down pieces).
Peel the onions and scrape or thinly peel the carrots(if they are young you could leave some of the green stalk on the onion and carrot). Cut the carrots into large chunks, or if they are small leave them whole. If the onions are large, cut them into quarters through the root, if they are small they are best left whole.
Toss the meat in the hot fat on the pan until it is slightly brown. Transfer the meat into a casserole, then quickly toss the onions and carrots in the fat.
Build the meat, carrots and onions up in layers in the casserole, carefully season each layer with freshly ground pepper and salt.
De-glaze the pan with lamb stock and pour into he casserole. Peel the potatoes and lay them on top of the casserole, so they will steam while the stew cooks. Season the potatoes. Add a sprig of thyme, bring to the boil on top of the stove, cover with a butter wrapper or paper lid and the lid of the saucepan.
Transfer to a moderate oven or allow to simmer on top of the stove until the stew is cooked, 1 to 1.5 hours approx, depending on whether the stew is being made with lamb or hogget.
When the stew is cooked, pour off the cooking liquid, degrease and reheat in another saucepan. Slightly thicken by whisking in a little roux if you like. Check seasoning, then add chopped parsley and chives. Pour over the meat and vegetables.
Bring the stew back up to boiling point and serve from the pot or in a large pottery dish.
Roux
110g butter
110g flour
Melt the butter and cook the flour in it for 2 minutes on a low heat, stirring occasionally. Use as required. Roux can be stored in a cool place and used as required or it can be made up on the spot if preferred. It will keep at least a fortnight in a refrigerator. Back to Top
Irish Stew with Pearl Barley
Add 1-2 tablespoons pearl barley with the vegetables. Increase the stock to 1.2 litres as the pearl barley soaks up lots of liquid.
Stuffed Roast chicken
Serves 4-6
Children of any age still love a ‘roast dinner’ particularly roast chicken with all the trimmings — stuffing, gravy, roast potatoes, carrots.
- 1.5kg to 2.3kg free-range chicken,preferably organic
- Stock
- Giblets (keep the liver for a chicken liver pate), and wish bone
- 1 sliced carrot
- 1 sliced onion
- 1 stick celery
- A few parsley stalks and a sprig of thyme
- Stuffing
- 45g butter
- 85g chopped onion
- 85g to 100g soft white breadcrumbs
- 2 tbsp˚ finely chopped fresh herbs such as parsley, lemon thyme, chives and annual marjoram
- Salt and freshly ground pepper
- A little soft butter
- Garnish
- Sprigs of flat parsley
First remove the wishbone from the neck end of the chicken, this isn’t at all essential but it does make carving much easier later on.
Tuck the wing tips underneath the chicken to make a neat shape. Put the wish-bone, giblets, carrot, onions, celery and herbs into a saucepan. Cover with cold water, bring to the boil, skin and simmer gently while the chicken is roasting.
Next make the stuffing, sweat the onions gently in the butter until soft, about 10 minutes, then stir in the crumbs, herbs, a little salt and pepper to taste. Allow it to get quite cold. If necessary wash and dry the cavity of the bird, then season and half fill with cold stuffing.
Season the breast and legs, smear with a little soft butter. Heat the oven to 180˚C/gas mark 4. Weigh the chicken and allow about 20 minutes to the pound and 20 minutes over. Baste a couple of times during the cooking with the buttery juices.
The chicken is done when the juices are running clear. To test, prick the thickest part at the base of the thigh and examine the juices: they should be clear.
Remove the chicken to a carving dish, keep it warm and allow to rest while you make the gravy.
To make the gravy, spoon off the surplus fat from the roasting pan. Deglaze the pan juices with the fat free stock from the giblets and bones. Using a whisk, stir and scrape well to dissolve the caramelized meat juices from the roasting pan. Boil it up well, season and thicken with a little roux if you like. Taste and correct seasoning. Serve in a hot gravy boat.
If possible, serve the chicken on a nice carving dish surrounded by crispy roast potatoes and some sprigs of flat parsley then arm yourself with a sharp knife and bring it to the table.
 Serve with gravy and bread sauce and roast potatoes.
Elizabeth O'Connell's apple pie
Serves 8-12
For years Mummy cooked delicious pub food in our family pub The Sportsmans Inn in Cullohill, Co Laois. Many letters mention calling on the way to or from Dublin for her apple tart or scones with apple jelly, so I’m delighted to share the recipe to bring back happy memories. The pastry is made by the creaming method so people who are convinced they suffer from ‘hot hands’ don’t have to worry about rubbing in the butter.
- Pastry
- 225g butter
- 55g caster sugar
- 2 eggs, preferably free-range
- 340g white flour, preferably unbleached
- Filling
- 675g Bramley seedling cooking apples
- 140g sugar
- 2-3 cloves
- Egg wash — made with one beaten egg and a dash of milk
- Caster sugar for sprinkling
- To serve
- Softly-whipped cream
- Barbados sugar
Tin: 18cm x 30.5cm x 2.5cm deep
Heat oven to 180˚C/gas mark 4. First make the pastry. Cream the butter and sugar together by hand or in a food mixer. Add the eggs and beat for several minutes. Reduce speed and mix in the flour.
Turn out onto a piece of floured greaseproof paper, flatten into a round wrap and chill for at least 2 hours.
To make the tart
Roll out the pastry 3mm thick and use about two thirds of it to line a suitable tin. Peel, quarter and dice the apples into the tart, sprinkle with sugar and add the cloves.
Cover with a lid of pastry, seal edges, decorate with pastry leaves, egg wash and bake in the heated oven until the apples are tender, about 45 minutes to an hour.
When cooked, cut into squares, sprinkle lightly with castor sugar and serve with softly whipped cream and Barbados sugar.
Rhubarb Tart
Make in the same way but use (900g) sliced red rhubarb (about 1cm inch thick) and 370g to 400g sugar.


What you will learn? - Planning the project - Advanced CSS grid system from scratch - Basic React Hooks - Basic thinking in React: component separation - Managing state
What you will learn? - Planning the project - Advanced CSS grid system from scratch - Basic React Hooks - Basic thinking in React: component separation - Managing state
Preview of the project:
GIF GOES HERE
Also, here’s the source code, just for reference if you need help in any stage of the project.
Scope is not too complicated for learning but also not too basic for covering different aspects of creating an app.
Features we will implement:
React components breakdown:
To start, open the terminal in your projects folder and create a boilerplate template named 'calculator' using the create-react-app. To do that, run the command:
npx create-react-app calculator
That’s the fastest and easiest way to set up a fully working React app with zero config. All you need to do after that is run cd calculator to switch to the newly created project folder and npm start to start your app in the browser.
Since we’ve already done some wireframing, we already know the
main building blocks of the application. Those are
Calculator
,
CalculatorBody
,
CalculatorScreen
,
GridItem
,
Button
,
First create a components folder inside the
src
folder. We’ll then create a
separate .js file and .css file for each component.