Sometimes you just want to add bananas from the commandline. Previously I created a small script that takes an image and adds a dancing banana to the bottom left of the image. I wanted to make an API too, but that will have to wait till next year. Today we will create a commandline script that will do the same thing.
With the excellent explanation in Mark Sellors’ guide I have now created a cmdline thingy in very few steps.
I can now add bananas from the commandline with:
./bananafy.R ../images/ggplotexample.png out.gif
This executes and says:
Linking to ImageMagick <IP_ADDRESS>
Enabled features: fontconfig, freetype, fftw, lcms, pango, x11
Disabled features: cairo, ghostscript, rsvg, webp
writing bananafied image to out.gif
The modified script
First the script itself, saved as bananafy.R
#!/usr/bin/Rscript --vanilla
args <- commandArgs(trailingOnly = TRUE)
if (length(args) < 1){
stop("I think you forgot to input an image and output name? \n")
}
library(magick)
## Commandline version of add banana
#banana <- image_read("images/banana.gif") # this assumes you have a project with the folder /images/ inside.
#add_banana <- function(, offset = NULL, debug = FALSE){
offset <- NULL # maybe a third argument here would be cool?
debug <- FALSE
image_in <- magick::image_read(args[[1]])
banana <- image_read("../images/banana.gif") # 365w 360 h
image_info <- image_info(image_in)
if("gif" %in% image_info$format ){stop("gifs are to difficult for me now")}
stopifnot(nrow(image_info)==1)
# scale banana to correct size:
# take smallest dimension.
target_height <- min(image_info$width, image_info$height)
# scale banana to 1/3 of the size
scaling <- (target_height /3)
front <- image_scale(banana, scaling)
# place in lower right corner
# offset is width and hieight minus dimensions picutre?
scaled_dims <- image_info(front)
x_c <- image_info$width - scaled_dims$width
y_c <- image_info$height - scaled_dims$height
offset_value <- ifelse(is.null(offset), paste0("+",x_c,"+",y_c), offset)
if(debug) print(offset_value)
frames <- lapply(as.list(front), function(x) image_composite(image_in, x, offset = offset_value))
result <- image_animate(image_join(frames), fps = 10)
message("writing bananafied image to", args[[2]])
image_write(image = result, path = args[[2]])
As you might notice I copied the entire thing from the previous post and added some extra Things
- It starts with ‘#!/usr/bin/Rscript’
According to Mark:
Sometimes called a ‘shebang’, this line tells the Linux and MacOS command line interpreters (which both default to one called ‘bash’), what you want to use to run the rest of the code in the file. ….The –vanilla on the end, tells Rscript to run without saving or restoring anything in the process. This just keeps things nice a clean.
I’ve added a message call that tells me where the script saves the image. I could have suppressed the magic messages, but meh, it is a proof of concept.
To make it work, you have to tell linux (which I’m working on) that it can execute the file. That means changing the permissions on that file
In the terminal you go to the projectfolder and type chmod +x bananafy.R
. You CHange MODe by adding (+) eXecution rights to that file.
advanced use: making bananafy options available always and everywhere in the terminal.
We could make the bananafyer available to you always in in every folder. T do that you could move the script to f.i. ~/scripts/, modify the code a bit and add the bananagif to that same folder. You then have to modify your bashrc file.
- I had to make the link to the banana hardcoded: ‘~/scripts/images/banana.gif’
- you can call the code from anywhere and the output of the script will end up in the folder you currently are in. So if I’m in ~/pictures/reallynicepictures the bananafied image will be there.


A declaration
:- mode :ModeSpec, ..., :ModeSpec.
where each ModeSpec is a skeletal goal, has no effect whatsoever, but is accepted for compatibility reasons. Such declarations may be used as a commenting device, as they express the programmer's intention of data flow in predicates.


Durability
Data Durability refers to the fault tolerance and persistence of data in the face of software or hardware failure. Even the most reliable software and hardware might fail at some point, introducing the possibility of data loss. This page discusses what happens to data when a server node fails, and what steps you can take to ensure your data remains durable, safeguarding it against potential data loss.
Couchbase Server’s architecture guards against most forms of failure and protects against data loss. Buckets can be configured for replication, which makes additional copies of the data redundant and allows for the failure of copies: as long as the data is available somewhere, it is not lost.
Data is also written to the disk, so in the case of a power outage or software crash, data can be retrieved from the disk during recovery.
By default, Couchbase does not immediately replicate or write data to disk. After an item is modified, Couchbase immediately stores these modifications in memory on the node that is active for the given item. It then places the item inside a disk queue and a replication queue. The disk queue is served by another thread that persists the change to the disk, and the replication queue is served by another thread that replicates the change to any replicas within the cluster. This is done to improve performance, because modifying an item in memory is typically very quick, whereas sending an item over the network or writing it to the disk may take longer. In most cases items are replicated or persisted within a few milliseconds although the operations may take longer if the storage medium is slow or the network is congested.
If a node fails, any modifications in its queues are lost, and when it recovers it will only contain modifications that had already been stored to disk. If the failed node is failed over, a replica node (more precisely, a replica for the given vBucket) will take it over, but will only know about the modifications that were successfully replicated to it: any modifications in the failed node’s replication queue are lost.
Durability requirements
As mentioned before, modifications to items are done synchronously in memory and asynchronously on the disk and network. The synchronous modification in memory involves modifying the item and sending a success response to the client. This tells your application that the item has successfully been stored/modified, and allows your application to continue operating.
Applications may specify requirements for durability to the Couchbase client to wait until the item has also been persisted and replicated. This ensures greater durability of your data against failure in certain edge cases, such as a slow network or storage media. Operations performed using the durability requirement options will appear as failures to the application if the modification could not be successfully stored to disk and/or replicated to replica nodes. Upon receiving such a failure response, the application may retry the operation or mark it as a failure. In any event, the application will never be under the mistaken assumption that the modification was performed when in fact it was lost inside one of the aforementioned queues.
Configuring durability
Durability requirements may be present as an extra option to mutation operations (such as upsert). The level of durability is configurable depending on the needs of the application.
The level of durability may be expressed in two values:
-
The replication factor of the operation: how many replicas must this operation be propagated to. This is specified as the
ReplicateTo
option in most SDKs. -
The persistence of the modification: how many persisted copies of the modified record must exist. Often found as a
PersistTo
option.
Examples of these settings include:
-
Ensure the modification is stored (on disk) on the active (master) node.
-
Ensure the modification exists (in memory) on at least one replica.
-
Ensure the modification is stored (on disk) on at least one replica.
-
Ensure the modification exists (in memory) on all replicas.
-
Ensure the modification is stored (on disk) on the active node, and exists (in memory) on all replicas.
-
Ensure the modification is stored (on disk) on the active node, and on all replicas.
When an operation is propagated to a replica, it is first propagated to the replica’s memory and then placed in a queue (as above) to be persisted to the replica’s disk.
You can control whether you desire the operation to only be propagated to a replica’s memory (replicate to
), or whether to wait until it is fully persisted to the replica’s disk (persist to
).
persist to
receives a value total to the number of nodes that an operation should be persisted.
The maximum value is the number of replica nodes plus one.
A value of 1 indicates master-only persistence (and no replica persistence).
replicate to
receives a value total to the number of replica nodes the operation should be replicated.
Its maximum value is the number of replica nodes.
Performance considerations
Note that Couchbase Server’s design of asynchronous persistence and replication is there for a reason: the time it takes to store an item in memory is several orders of magnitude quicker than persisting it to disk or sending it over the network. Operation times and latencies will increase when waiting on the speed of the network and the speed of the disk.
A common requirement is that an operation should be propagated to at least one additional location before continuing. An additional copy can either be in the master’s storage (master persistence), or in the memory of a replica node. Depending on your environment either persistence or replication may be quicker: replication will be quicker on a 10GE network with commodity magnetic drives, but persistence will be quicker on a 1GE network with SSD drives.
Durability operations may also cause increased network traffic since it is implemented at the client level by sending special probes to each server once the actual modification has completed.
Enhanced Durability
Starting with version 4.0, Couchbase Server offers additional durability options which provide clearer semantics in the face of failover.
Prior to Couchbase Server 4.0, durability was only implemented using the CAS. Since the CAS changed for each mutation, a client could normally determine if the mutation was persisted on a given node if the item existed on the node with the same CAS.
The core issue with CAS-based checking is that a different CAS on a replica may either be a result of:
-
Client contention: The CAS is different from the current mutation because it been changed by a subsequent mutation (one performed after our current client)
-
Slow propagation: The mutation has not yet been propagated to all replicas
-
Failover: The CAS has changed because the master was failed over and control has been transferred to a replica which is using an older copy.
Starting with Couchbase Server 4.0, an enhanced mode of durability, based on sequence numbering is available. To this effect, an application may opt to enable receiving sequence data for each mutation. This provides the SDK with an ever-increasing sequence number for a given mutation. The sequence number data contains:
-
A random identifier representing (called a UUID) the current cluster state. This state is changed whenever something happens to the cluster (for example, a failover).
-
A counter value which is associated with the current state.
Applications may enable this extra sequence data to be sent for each mutation response. This data is then transparently used by the SDK to use sequence number-based durability checking.
Unlike CAS-based polling, it is simple to distinguish various failure cases:
-
If the UUID is equal, but the sequence number is lower than the expected value, then it means the mutation has not yet been propagated.
-
If the UUID is equal, and the sequence number is greater or equal to the current mutation, it means the current mutation has been propagated.
-
If the UUID is different than the one available at the client, it means the mutation has been lost.
Enhanced durability can be enabled and used transparently via the SDK. Enhanced durability is disabled by default as it adds an overhead of 16 bytes per operation.


PEGASUS
User
New User
List of users
Category
New category
List of category
Findings
New finding
List of findings
Protected areas
New protected area
List of protected areas
Configuration
Figures
Public map
Log
Configuration
Name
Description
Update
Delete


Genoverse is a portable, customizable, back-end independent JavaScript and HTML5 based genome browser which allows the user to explore data interactively.
Data is visualized in the browser, meaning Genoverse can be installed on any website and show data from a wide range of online or local sources.
Genoverse works with a variety of formats, such as XML, JSON or delimited text files, and can be customized to parse and display any data source as required.
For more information, examples and source code, check out our github page
If you have any questions or need help, please contact us info@genoverse.org


Mitchell Evans
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is an opinionated kickstarter for web development projects. It's an attempt to create a simple starter for new web sites and apps: just download it and start coding. The goal is to have everything you need to get started out of the box; of course it has slick styles and icons, but it also has a best practice directory structure to ensure maximum code reuse. And it's all tied together with a robust build system chock-full of some time-saving goodness.
is an opinionated kickstarter for web development projects. It's an attempt to create a simple starter for new web sites and apps: just download it and start coding. The goal is to have everything you need to get started out of the box; of course it has slick styles and icons, but it also has a build system chock-full.
is an opinionated kickstarter for web development projects. It's an attempt to create a simple starter for new web sites and apps: just download it and start coding.
is an opinionated kickstarter for web development projects. It's an attempt to create a simple starter for new web sites and apps: just download it and start coding. The goal is to have everything you need to get started out of the box; of course it has slick styles and icons, but it also has a best practice directory structure to ensure maximum code reuse. And it's all tied together with a robust build system chock-full of some time-saving goodness.
is an opinionated kickstarter for web development projects. It's an attempt to create a simple starter for new web sites and apps: just download it and start coding. The goal is to have everything you need to get started out of the box; of course it has slick styles and icons, but it also has a build system chock-fulls.
is an opinionated kickstarter for web development projects. It's an attempt to create a simple starter for new web sites and apps: just download it and start coding.


Since there is still no PM-System in Battlelog, I would like to know, if its possible to add it for Better Battlelog Users since it would be very useful.
greetz DirtY
BrainFooLong
Administrator
I already had that idea a few month before.
The problem: Requires better server infrastructure which i don't want to pay for. Since Google Adsense deactivated my account this plan will be never be realised.
Greetz
Topicstarter
DirtY SeCreT
And I think, DICE wont update their Battleog either ;) It's worse than some ordinary Board, no Control Panel, no PM etc....
But since that's not your fault, thanks for the answer, maybe somebody will help you with the infrastructure :D


Yellow channel ↓
UV channel ↑
How many UV-conesare used to detect one paramecium? Just one!
→ Detection is physically constrained:
How many UV-conesare used to strike at one paramecium? 2-3/eye
→ Detection is physically constrained:
Paramecium = Bright 2° target moving at 90 °/s ≈ 30 ms flash


Barriere RCMP surround house of woman allegedly breaching probation order
by Karen EdwardsBarriere RCMP have arrested a woman after she was found breaching her probation order earlier this month.
RCMP say on Nov. 13, they received information that 48-year-old Bridgette Poore of Kamloops had returned to the community of Barriere after she had been barred from being 10-kilometres of the district due to a court-imposed probation order.
Police say the order was issued in August following multiple convictions of offences committed in the Barriere area, according to a news release.
On Nov. 14, police from Barriere and the RCMP Central Interior Traffic Services attended to an address along Yard Road where investigators believed Poore was inside.
“Our officers surrounded and contained the home after she refused to exit,” Barriere RCMP Cpl. Rob Welsman says in a release. “Entry was made into the residence after officers obtained a judicial authorization from the court. Mrs. Poore was taken into police custody without further incident and transported to Kamloops Provincial Court to appear before a judge.”
Poore has now been formally charged with one count of breach of probation and she has since been remanded into custody.
Her next court date is set for Nov. 25.


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Notebooks
Story: Personal history of Hendrick Beren and some words
Personal history of Hendrick Beren and some words
Title
Personal history of Hendrick Beren and some words
Collection
Summary
About Hendrik Beren, an employee of Mr Willmott, and some words given by him.
Comments
1) Note on the inside of the front cover of Book VII-1: '(on pp.6046 1-5 a little information, and a few words obtained in March /76 from a servant [Hendrick Beren] of Mr H. Willmot's [spelt 'Willmott' elsewhere] of mixed Griqua, Hottentot, and Makatees descent.)', 2) This story is found in Book VII-1
Contributors
Date
5 March 1876 (started)
Categories
Words and sentences, History (personal)
Keywords
Hendrick Beren (his personal history) , Hendrick Beren (his genealogy) , Hendrick Beren (the names of his relations) , Hendrick Beren (an employee of Mr Willmott) , names (of Hendrick Beren's relations) , names (Hendrick Beren's employer) , names (of places) , Makatees (personal history of Hendrik Beren) , Griqua (Griqua Stadt) , Griqua (personal history of Hendrik Beren) , Hottentot (personal history of Hendrik Beren) , places (Swellendam) , places (Griqua Stadt) , places (Free State) , places (personal history of Hendrik Beren) , genealogy (Hendrik Beren's) , personal history (of Hendrik Beren)
Story Pages
6046,1-6046,5


Learning Bee API API Reference
This is a sample learning bee server.
API Endpoint
https://none/v0
Terms of Service: http://swagger.io/terms/
Contact<EMAIL_ADDRESS>Schemes: https, http
Version: 0.0.1
course
Everything about available Courses
Get currently available courses
Filter by category ID.
Filter by course name.
successful operation
Response Content-Types: application/json
Response Example (200 OK)
[
{
"id": "integer (int64)",
"category": {
"id": "integer (int64)",
"name": "string"
},
"name": "Cooking 101",
"description": "You will learn what's good about cooking in this course.",
"thumbnailUrl": "string",
"bonusBounty": "integer (int64)",
"totalBounty": "integer (int64)",
"videos": [
{
"id": "integer (int64)",
"category": {
"id": "integer (int64)",
"name": "string"
},
"description": "You will learn the finer details of how to cook Chicken in this video.",
"name": "Learn to cook Chicken!",
"thumbnailUrl": "string",
"length": "integer (int64)",
"youtubeId": "string",
"bounty": "integer (int64)",
"tests": [
{
"id": "integer (int64)",
"name": "Do you know how to cook chicken?",
"bounty": "integer (int64)",
"questions": [
{
"id": "integer (int64)",
"name": "Cooking Question",
"text": "How long should you boil chicken?",
"responses": [
{
"id": "integer (int64)",
"text": "You never boil chicken you monster!",
"correct": "boolean"
}
]
}
]
}
]
}
]
}
]
Get a course by id
ID of course to return
successful operation
Invalid ID supplied
Course not found
Response Content-Types: application/json
Response Example (200 OK)
{
"id": "integer (int64)",
"category": {
"id": "integer (int64)",
"name": "string"
},
"name": "Cooking 101",
"description": "You will learn what's good about cooking in this course.",
"thumbnailUrl": "string",
"bonusBounty": "integer (int64)",
"totalBounty": "integer (int64)",
"videos": [
{
"id": "integer (int64)",
"category": {
"id": "integer (int64)",
"name": "string"
},
"description": "You will learn the finer details of how to cook Chicken in this video.",
"name": "Learn to cook Chicken!",
"thumbnailUrl": "string",
"length": "integer (int64)",
"youtubeId": "string",
"bounty": "integer (int64)",
"tests": [
{
"id": "integer (int64)",
"name": "Do you know how to cook chicken?",
"bounty": "integer (int64)",
"questions": [
{
"id": "integer (int64)",
"name": "Cooking Question",
"text": "How long should you boil chicken?",
"responses": [
{
"id": "integer (int64)",
"text": "You never boil chicken you monster!",
"correct": "boolean"
}
]
}
]
}
]
}
]
}
video
Everything about available Videos
Get currently available videos
successful operation
Response Content-Types: application/json
Response Example (200 OK)
[
{
"id": "integer (int64)",
"category": {
"id": "integer (int64)",
"name": "string"
},
"description": "You will learn the finer details of how to cook Chicken in this video.",
"name": "Learn to cook Chicken!",
"thumbnailUrl": "string",
"length": "integer (int64)",
"youtubeId": "string",
"bounty": "integer (int64)",
"tests": [
{
"id": "integer (int64)",
"name": "Do you know how to cook chicken?",
"bounty": "integer (int64)",
"questions": [
{
"id": "integer (int64)",
"name": "Cooking Question",
"text": "How long should you boil chicken?",
"responses": [
{
"id": "integer (int64)",
"text": "You never boil chicken you monster!",
"correct": "boolean"
}
]
}
]
}
]
}
]
Get a video by id
Filter by category ID.
Filter by video name.
ID of video to return
successful operation
Invalid ID supplied
Video not found
Response Content-Types: application/json
Response Example (200 OK)
{
"id": "integer (int64)",
"category": {
"id": "integer (int64)",
"name": "string"
},
"description": "You will learn the finer details of how to cook Chicken in this video.",
"name": "Learn to cook Chicken!",
"thumbnailUrl": "string",
"length": "integer (int64)",
"youtubeId": "string",
"bounty": "integer (int64)",
"tests": [
{
"id": "integer (int64)",
"name": "Do you know how to cook chicken?",
"bounty": "integer (int64)",
"questions": [
{
"id": "integer (int64)",
"name": "Cooking Question",
"text": "How long should you boil chicken?",
"responses": [
{
"id": "integer (int64)",
"text": "You never boil chicken you monster!",
"correct": "boolean"
}
]
}
]
}
]
}
Submit a video tracking event
undefined
ID of completed video
Request Content-Types: application/json
Request Example
{
"userId": "integer (int64)",
"videoEvent": {
"videoId": "integer (int64)",
"eventType": "string"
}
}
successful operation
Invalid ID supplied
Video not found
Bad video event
Response Content-Types: application/json
Response Example (200 OK)
{
"id": "integer (int64)",
"category": {
"id": "integer (int64)",
"name": "string"
},
"description": "You will learn the finer details of how to cook Chicken in this video.",
"name": "Learn to cook Chicken!",
"thumbnailUrl": "string",
"length": "integer (int64)",
"youtubeId": "string",
"bounty": "integer (int64)",
"tests": [
{
"id": "integer (int64)",
"name": "Do you know how to cook chicken?",
"bounty": "integer (int64)",
"questions": [
{
"id": "integer (int64)",
"name": "Cooking Question",
"text": "How long should you boil chicken?",
"responses": [
{
"id": "integer (int64)",
"text": "You never boil chicken you monster!",
"correct": "boolean"
}
]
}
]
}
]
}
test
Everything about available Videos
Get a test by id
ID of test to return
successful operation
Invalid ID supplied
Test not found
Response Content-Types: application/json
Response Example (200 OK)
{
"id": "integer (int64)",
"name": "Do you know how to cook chicken?",
"bounty": "integer (int64)",
"questions": [
{
"id": "integer (int64)",
"name": "Cooking Question",
"text": "How long should you boil chicken?",
"responses": [
{
"id": "integer (int64)",
"text": "You never boil chicken you monster!",
"correct": "boolean"
}
]
}
]
}
minting
Access to minting operations
Give eth to address
How much and who to pay.
- address: string
- amount: integer
Request Content-Types: application/json
Request Example
{
"address": "string",
"amount": "integer"
}
successful operation
Response Content-Types: application/json
Submit a video tracking event
undefined
ID of completed video
Request Content-Types: application/json
Request Example
{
"userId": "integer (int64)",
"videoEvent": {
"videoId": "integer (int64)",
"eventType": "string"
}
}
successful operation
Invalid ID supplied
Video not found
Bad video event
Response Content-Types: application/json
Response Example (200 OK)
{
"id": "integer (int64)",
"category": {
"id": "integer (int64)",
"name": "string"
},
"description": "You will learn the finer details of how to cook Chicken in this video.",
"name": "Learn to cook Chicken!",
"thumbnailUrl": "string",
"length": "integer (int64)",
"youtubeId": "string",
"bounty": "integer (int64)",
"tests": [
{
"id": "integer (int64)",
"name": "Do you know how to cook chicken?",
"bounty": "integer (int64)",
"questions": [
{
"id": "integer (int64)",
"name": "Cooking Question",
"text": "How long should you boil chicken?",
"responses": [
{
"id": "integer (int64)",
"text": "You never boil chicken you monster!",
"correct": "boolean"
}
]
}
]
}
]
}
Submit a test completed event
undefined
ID of completed test
Request Content-Types: application/json
Request Example
{
"userId": "integer (int64)",
"testEvent": {
"testId": "integer (int64)",
"responseIds": [
"integer (int64)"
]
}
}
successful operation
Invalid ID supplied
Test not found
Bad test event
Response Content-Types: application/json
Response Example (200 OK)
{
"passed": "boolean"
}
references
Misc
Get all available categories
successful operation
Response Content-Types: application/json
Response Example (200 OK)
[
{
"id": "integer (int64)",
"name": "string"
}
]
Schema Definitions
Category: object
- id: integer (int64)
- name: string
Example
{
"id": "integer (int64)",
"name": "string"
}
Response: object
- id: integer (int64)
- text: string
- correct: boolean
Example
{
"id": "integer (int64)",
"text": "You never boil chicken you monster!",
"correct": "boolean"
}
ArrayOfResponses: array
Example
[
{
"id": "integer (int64)",
"text": "You never boil chicken you monster!",
"correct": "boolean"
}
]
Question: object
- id: integer (int64)
- name: string
- text: string
- responses: ArrayOfResponses
Example
{
"id": "integer (int64)",
"name": "Cooking Question",
"text": "How long should you boil chicken?",
"responses": [
{
"id": "integer (int64)",
"text": "You never boil chicken you monster!",
"correct": "boolean"
}
]
}
ArrayOfQuestions: array
Example
[
{
"id": "integer (int64)",
"name": "Cooking Question",
"text": "How long should you boil chicken?",
"responses": [
{
"id": "integer (int64)",
"text": "You never boil chicken you monster!",
"correct": "boolean"
}
]
}
]
Test: object
- id: integer (int64)
- name: string
- bounty: integer (int64)
- questions: ArrayOfQuestions
Example
{
"id": "integer (int64)",
"name": "Do you know how to cook chicken?",
"bounty": "integer (int64)",
"questions": [
{
"id": "integer (int64)",
"name": "Cooking Question",
"text": "How long should you boil chicken?",
"responses": [
{
"id": "integer (int64)",
"text": "You never boil chicken you monster!",
"correct": "boolean"
}
]
}
]
}
TestEvent: object
- testId: integer (int64)
- responseIds: integer[]
-
integer (int64)
Example
{
"testId": "integer (int64)",
"responseIds": [
"integer (int64)"
]
}
ArrayOfTests: array
Example
[
{
"id": "integer (int64)",
"name": "Do you know how to cook chicken?",
"bounty": "integer (int64)",
"questions": [
{
"id": "integer (int64)",
"name": "Cooking Question",
"text": "How long should you boil chicken?",
"responses": [
{
"id": "integer (int64)",
"text": "You never boil chicken you monster!",
"correct": "boolean"
}
]
}
]
}
]
ArrayOfCourses: array
Example
[
{
"id": "integer (int64)",
"category": {
"id": "integer (int64)",
"name": "string"
},
"name": "Cooking 101",
"description": "You will learn what's good about cooking in this course.",
"thumbnailUrl": "string",
"bonusBounty": "integer (int64)",
"totalBounty": "integer (int64)",
"videos": [
{
"id": "integer (int64)",
"category": {
"id": "integer (int64)",
"name": "string"
},
"description": "You will learn the finer details of how to cook Chicken in this video.",
"name": "Learn to cook Chicken!",
"thumbnailUrl": "string",
"length": "integer (int64)",
"youtubeId": "string",
"bounty": "integer (int64)",
"tests": [
{
"id": "integer (int64)",
"name": "Do you know how to cook chicken?",
"bounty": "integer (int64)",
"questions": [
{
"id": "integer (int64)",
"name": "Cooking Question",
"text": "How long should you boil chicken?",
"responses": [
{
"id": "integer (int64)",
"text": "You never boil chicken you monster!",
"correct": "boolean"
}
]
}
]
}
]
}
]
}
]
Course: object
- id: integer (int64)
- category: Category
- name: string
- description: string
- thumbnailUrl: string
- bonusBounty: integer (int64)
- totalBounty: integer (int64)
- videos: ArrayOfVideos
Example
{
"id": "integer (int64)",
"category": {
"id": "integer (int64)",
"name": "string"
},
"name": "Cooking 101",
"description": "You will learn what's good about cooking in this course.",
"thumbnailUrl": "string",
"bonusBounty": "integer (int64)",
"totalBounty": "integer (int64)",
"videos": [
{
"id": "integer (int64)",
"category": {
"id": "integer (int64)",
"name": "string"
},
"description": "You will learn the finer details of how to cook Chicken in this video.",
"name": "Learn to cook Chicken!",
"thumbnailUrl": "string",
"length": "integer (int64)",
"youtubeId": "string",
"bounty": "integer (int64)",
"tests": [
{
"id": "integer (int64)",
"name": "Do you know how to cook chicken?",
"bounty": "integer (int64)",
"questions": [
{
"id": "integer (int64)",
"name": "Cooking Question",
"text": "How long should you boil chicken?",
"responses": [
{
"id": "integer (int64)",
"text": "You never boil chicken you monster!",
"correct": "boolean"
}
]
}
]
}
]
}
]
}
ArrayOfVideos: array
Example
[
{
"id": "integer (int64)",
"category": {
"id": "integer (int64)",
"name": "string"
},
"description": "You will learn the finer details of how to cook Chicken in this video.",
"name": "Learn to cook Chicken!",
"thumbnailUrl": "string",
"length": "integer (int64)",
"youtubeId": "string",
"bounty": "integer (int64)",
"tests": [
{
"id": "integer (int64)",
"name": "Do you know how to cook chicken?",
"bounty": "integer (int64)",
"questions": [
{
"id": "integer (int64)",
"name": "Cooking Question",
"text": "How long should you boil chicken?",
"responses": [
{
"id": "integer (int64)",
"text": "You never boil chicken you monster!",
"correct": "boolean"
}
]
}
]
}
]
}
]
Video: object
- id: integer (int64)
- category: Category
- description: string
- name: string
- thumbnailUrl: string
- length: integer (int64)
- youtubeId: string
- bounty: integer (int64)
- tests: ArrayOfTests
Example
{
"id": "integer (int64)",
"category": {
"id": "integer (int64)",
"name": "string"
},
"description": "You will learn the finer details of how to cook Chicken in this video.",
"name": "Learn to cook Chicken!",
"thumbnailUrl": "string",
"length": "integer (int64)",
"youtubeId": "string",
"bounty": "integer (int64)",
"tests": [
{
"id": "integer (int64)",
"name": "Do you know how to cook chicken?",
"bounty": "integer (int64)",
"questions": [
{
"id": "integer (int64)",
"name": "Cooking Question",
"text": "How long should you boil chicken?",
"responses": [
{
"id": "integer (int64)",
"text": "You never boil chicken you monster!",
"correct": "boolean"
}
]
}
]
}
]
}
VideoEvent: object
- videoId: integer (int64)
- eventType: string start, finish
Example
{
"videoId": "integer (int64)",
"eventType": "string"
}
User: object
- id: integer (int64)
- torusAddress: string
Example
{
"id": "integer (int64)",
"torusAddress": "string"
}
UserVideoEvent: object
- userId: integer (int64)
- videoEvent: VideoEvent
Example
{
"userId": "integer (int64)",
"videoEvent": {
"videoId": "integer (int64)",
"eventType": "string"
}
}
UserTestEvent: object
- userId: integer (int64)
- testEvent: TestEvent
Example
{
"userId": "integer (int64)",
"testEvent": {
"testId": "integer (int64)",
"responseIds": [
"integer (int64)"
]
}
}


This small PHP utility automatically uploads HTML and image files into a folder one level up from its own current home and generates iFrame embed code in specified pixel dimensions.
For obvious reasons, unless you want to become a free web host to anyone and everyone, some basic security precautions -- including a properly configured robots.txt and PHP.ini file -- are probably in order. This submission page is also easily configurable for IP address or password based submission validation in Javascript.


Among those who follow Julia's development closely, one of the (many) new features causing great excitement is something called "Union-splitting." Here at JuliaCon 2018 I've found myself explaining this feature repeatedly, so I thought I'd write this blog post to help disseminate this important information more widely. Let me start by saying that I'm not the expert here—this is a feature added by Jameson Nash and Jacob Quinn, and enhanced by optimizer improvements by Keno Fisher—but I am one of the many people truly excited about how this is already changing how I write Julia code.
Here's the background: in the old days, you had to take great care to make sure that nearly every function you wrote returned a predictable type. Experienced Julia programmers regularly reached for a tool, @code_warntype
, to check whether code exhibited the dreaded "type instability." This was code that returned (as determined by Julia's inference engine) objects either of type Any
or objects of type Union{Type1, Type2, ...}
. The first meant that the inference engine was unable to make any specific statements about the return type; the latter meant that inference was able to determine a specific list of possible return types. Unfortunately, the compiler wasn't particularly good at taking advantage of this partial knowledge, and so in practice either of these outcomes predictably implied very bad things for the performance of your code.
Fast forward to 0.7 and 1.0, and the landscape is both "the same" and "completely different." By this I mean that Any
still indicates a likely problem, as the compiler can't do anything to optimize the code. But often, Union{Type1, Type2, ...}
is nothing to worry about, because it causes little or no performance hit of any kind.
How does this magic work? Very briefly, let's imagine you have a block of code inside a function that looks like this:
ret1 = function1(args...)
ret2 = function2(ret1, ...)
ret3 = function3(ret1, ret2, ...)
...
Let's imagine that ret1
can be one of two types, A
or B
(i.e, Union{A,B}
). In older versions of Julia, here's what would happen: starting after function1
, the compiler would say "I can't tell which method of function2
should be used." So it wouldn't specialize any of the code thereafter; instead, each time this block got executed, it would take the actual type of ret1
and start poring through the method tables, performing type-intersection trying to find an applicable compiled version of function2
. The computations involved in type intersection, while very well optimized, are nevertheless quite demanding, and consequently the "method lookup" step was quite slow (especially for functions that had tens or hundreds of methods).
In Julia 0.7 and 1.0, the compiler does something quite different: it automatically (without any effort on your part) compiles the block above to something that schematically looks like this:
ret1 = function1(args...) # ret1 isa Union{A,B}
if ret1 isa A
ret2 = function2_specialized_for_A(ret1, ...)
ret3 = function3_specialized_for_A(ret1, ret2, ...)
...
else
ret2 = function2_specialized_for_B(ret1, ...)
ret3 = function3_specialized_for_B(ret1, ret2, ...)
...
end
The difference here is huge. While Julia can't know ahead of time the precise type of ret1
, within the first block it definitely is of type A
(because it checked), and within the second block it is definitely of type B
(because that's the only other option). Consequently, Julia can look up the appropriate compiled methods for function2
and function3
at compile time rather than run time, and that allows it to be blazingly fast when you actually run it.
Now, I hear some of you saying, "but there's that branch in there, and branches are slow compared to many other CPU instructions." True enough. But a single branch is almost inconsequential compared to method lookup; moreover, in cases where Union-splitting gets used, it's often the case that you would have needed that branch anyway. In such cases, the cost is literally zero.
To illustrate why, consider the operation findfirst(isequal(7), A)
for an array A
, which formerly always returned an integer indicating the first index of A
at which it found the value 7. One problematic case arises: what if A
doesn't contain any 7s? Previously, we used to return 0, and the receiver had to check if ret1 == 0
to determine whether execution needed to divert to error-handling code. Consequently, in properly-written code there was no getting away from needing that branch. Worse, if you forgot to check, and function2
didn't error when you passed it 0, then you would likely get a meaningless answer. That is far worse than getting an error, because it's much harder to track down where wrong results come from.
In Julia 0.7 and 1.0, Milan Bouchet-Valat rewrote all of our find*
functions, of which one change (among many) was that findfirst
now returns nothing
when it fails to find the requested value. Unlike the old approach of returning 0, this return value is truly unambigous and robust against generalizations of indexing where 0 might be a perfectly valid array index. It also gives you more reliable code, because if you forget to check, really there's not much you can do with nothing
that doesn't trigger a (very welcome) error. And thanks to Union-splitting, it doesn't cause any kind of performance penalty whatsoever.
So, while Union-splitting might initially sound like some kind of arcane feature of interest only to compiler gurus, the reality is that it changes how you should be designing your code, and it allows more understandable and robust software. That's the kind of feature everyone can appreciate.


In archaeology, a hammerstone is a hard cobble used to strike off lithic flakes from a lump of tool stone during the process of lithic reduction. The hammerstone is a rather universal stone tool which appeared early in most regions of the world including Europe, India and North America. This work is based on "Stone hammer Axe (Free)" (https://sketchfab.com/3d-models/stone-hammer-axe-free-a0e76cba79784776b4346e6ae1732472) by wolfgar74 (https://sketchfab.com/wolfgar74) licensed under CC-BY-4.0 (http://creativecommons.org/licenses/by/4.0/)
The Early Stone Age began with the most basic stone implements made by early humans. These Oldowan toolkits include hammerstones, stone cores, and sharp stone flakes. By about 1.76 million years ago, early humans began to make Acheulean handaxes and other large cutting tools.This work is based on "Stone to Tools" (https://sketchfab.com/3d-models/stone-to-tools-e6d053885e454f498878969ebbde1d25) by John Toeppen (https://sketchfab.com/toeppen) licensed under CC-BY-NC-SA-4.0 (http://creativecommons.org/licenses/by-nc-sa/4.0/)


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This script defines the common shared library for UNIX and is included in the J standard library. Definitions are loaded into the z locale.
Return the name of a shared library.
unxlib 'c'


This is the intriguing thesis propounded by Aloysius Nestingbird in his new book, entitled Was Dobson Stalin? : Laying Bare The Greatest Secret Of Twentieth Century Communist Politics Once And For All, With Eight Diagrams, Six Colour Plates, A Big Map & Far Too Many Footnotes (Thedoobiebrothers Books, £16.99). Here is a short extract, including one of those infernal footnotes—which itself has a footnote:
Let us consider the fact that Stalin's childhood nickname was “Soso”. Later he became “Koba”, and of course “Stalin” itself is a nickname, the “Man of Steel”. There are profound implications here. Was Dobson, as a child, not known as “Doso”? In his twenties, was it not common for such friends as he had to call him “Doba”? Did he not later become known as the “Man of Bandages?” *
*NOTE : Just before this book went to press, the author received decisive information. Apparently, not one of these nicknames was ever applied to Dobson. Even when he was a babe in swaddling clothes, his parents addressed him as “Dobson”, as did everyone else he ever met throughout his life. There are those who will carp and say my theory is thus invalidated. A pox upon them! Just take a look at these photographs: one shows a gigantic poster of Stalin at the height of his personality cult; the other shows a huge billboard with what is incontrovertibly the image of Dobson.*
* For copyright reasons I am unable to reproduce the extremely similar Dobson photograph.


NPL language data type definitions. This package allows new data types to be added to NPL language. The default implementation supplies all the standard data types part of the core NPL language, but this package provides interfaces and classes which can be used to add new data type to NPL language.
Each data type within NPL consists of atleast 2 objects. The first object is a controller for the all instances of this particular data type. There is only a single controller object required. The controller object is allocated only once for the registry and then referenced by compiled NPL programs to perform certain work on various data types. The second object is allocated to hold actual data and this is also the object that the public API normally exposes. This data object does not have to implement any special interfaces. This object will be returned as the value from various getter methods of the compiled NPL definitions.
In this example we are going to add a new NPL data type that holds images. A packet containing GIF data in its payload can utilize our new data type to not only read the GIF data out of the packet, but can display it in some graphical window, outside the NPL scope of course.
Here is how we are going to setup our data type. Since java SE already contains
a nice API to read images, we will use the imageio package as the basis for our new type.
What we do need to do is create a ImageDataType
class that extends
the AbstractDataType
that provides the basic implementation of
all the DataType methods, this is the controller. The controller is the object
that will create instances of variables and fields referenced in NPL definition,
it will know how to read the data out of the packet's data buffer and initialize
any new instances of the jpeg object we are going to use from the standard
java SE.
[Under construction - MWB - March 2007]


mcPlot¶
Standard plotting class of Matthias Cuntz.
It has the same functionality as the old mc_template.py by Matthias Cuntz but uses the object-oriented approach of st_template.py of Stephan Thober.
It allows plotting on screen, into PDF and PNG files, as well as in HTML files as a wrapper for PNG images or using hvplot.
It is optimised for publication ready plots, either on white or black background.
The simplest way to use mcPlot is to extend the class:
import numpy as np
from pyjams import mcPlot
class PlotIt(mcPlot):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
# change e.g. colors
self.lcol1 = 'cyan'
# reset global values after colour changes, etc.
self.set_matplotlib_rcparams()
def read_data(self):
# do something
self.dat = np.arange(10)
def plot_fig_1(self):
import matplotlib.pyplot as plt
self.ifig += 1
fig = plt.figure(self.ifig)
sub = fig.add_axes([0.125, 0.667, 0.3375, 0.233])
larr = sub.plot(self.dat)
plt.setp(larr[-1], linestyle='-', linewidth=self.lwidth,
marker='', color=self.lcol1)
self.plot_save(fig)
def plot_fig_2(self):
import matplotlib.pyplot as plt
self.ifig += 1
fig = plt.figure(self.ifig)
sub = fig.add_axes([0.125, 0.667, 0.3375, 0.233])
larr = sub.plot(2*self.dat)
plt.setp(larr[-1], linestyle='-', linewidth=self.lwidth,
marker='', color=self.lcols[-1])
self.plot_save(fig)
if __name__ == '__main__':
iplot = PlotIt(desc='Test mcPlot',
argstr='No argument wanted')
iplot.read_data()
iplot.plot_fig_1()
iplot.plot_fig_2()
iplot.close()
Then call the script with -h to see the command line options.
This module was written by Matthias Cuntz while at Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Nancy, France.
- copyright:
Copyright 2020-2022 Matthias Cuntz, see AUTHORS.rst for details.
- license:
MIT License, see LICENSE for details.
The following classes are provided:
|
Standard plotting class of Matthias Cuntz |
- History
Written Sep 2020 by Matthias Cuntz (mc (at) macu (dot) de)
Write standard output file into current folder, Nov 2021, Matthias Cuntz
Change from NCL amwg color palette to pyjams amwg, May 2021, Matthias Cuntz
Add **kwargs to plot_save, May 2022, Matthias Cuntz
Add self.transparent to pdf output in plot_save, May 2022, Matthias Cuntz
Add –transparent as a standard option, May 2022, Matthias Cuntz
Add left, bottom, top to standard layout options, Jul 2022, Matthias Cuntz
Add –dpi as a standard option, Jan 2023, Matthias Cuntz
Use helper.filebase, Mar 2023, Matthias Cuntz
Replace plotly with hvplot, May 2023, Matthias Cuntz
Set filename without suffix as default plot name, Jun 2023, Matthias Cuntz
Removed space from print of plot filename, Jun 2023, Matthias Cuntz
- class mcPlot(desc=None, argstr=None)[source]¶
Bases:
object
Standard plotting class of Matthias Cuntz
Upon initialisation, the command line arguments are gathered (get_command_line_arguments), the output type is set (set_output_type), standard layout options are added to self (set_layout_options), global rcParams are set for Matplotlib (set_matplotlib_rcparams), and the output plotting file is opened (plot_begin).
- desc¶
Description for command line parser, which will be shown when called with -h.
- Type:
string, optional
- argstr¶
String given as description for the positional arguments.
- Type:
string, optional
- get_command_line_arguments(desc=None, argstr=None)[source]¶
Standard command line parser with the default arguments such as plot type, filename, etc. If extra arguments are needed, one should copy this routine into the extending class and adapt it to its needs, keeping the existing optional arguments.
- plot_end() or plot_stop() or plot_close() or end() or stop()[source]¶
Finish, closing opened output files.
- set_layout_options()[source]¶
Sets the colours and styles that can be used in plots. One can either copy this routine into the extending class and adapt it, or add a new method that resets some of the layout options and call it in the initialisation of the extending class, or simply set layout options in the initialisation of the extending class.
Notes
Several more methods are defined, which should probably not be changed.
- plot_begin() or plot_start()
Open output file and similar at the beginning.
- plot_test()
A simple plot as an example.
- set_matplotlib_rcparams()
Set rcParams of Matplotlib depending on output type, and chosen layout. rcParams can also be re-set in the initialisation of the extending class.
- set_output_type()
Set the format of the output such as pdf or png.
Examples
The simplest way to use mcPlot is to extend the class:
import numpy as np from pyjams import mcPlot class PlotIt(mcPlot): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) # change e.g. colors self.lcol1 = 'cyan' def read_data(self): # do something self.dat = np.arange(10) def plot_fig_1(self): import matplotlib.pyplot as plt self.ifig += 1 fig = plt.figure(self.ifig) sub = fig.add_axes([0.125, 0.667, 0.3375, 0.233]) larr = sub.plot(self.dat) plt.setp(larr[-1], linestyle='-', linewidth=self.lwidth, marker='', color=self.lcol1) self.plot_save(fig) def plot_fig_2(self): import matplotlib.pyplot as plt self.ifig += 1 fig = plt.figure(self.ifig) sub = fig.add_axes([0.125, 0.667, 0.3375, 0.233]) larr = sub.plot(2*self.dat) plt.setp(larr[-1], linestyle='-', linewidth=self.lwidth, marker='', color=self.lcols[-1]) self.plot_save(fig) if __name__ == '__main__': iplot = PlotIt(desc='Test mcPlot') iplot.read_data() iplot.plot_fig_1() iplot.plot_fig_2() iplot.close()
Then call the script with -h to see the command line options.
Methods
close
()Alias for plot_end()
end
()Alias for plot_end()
get_command_line_arguments
([desc, argstr])Standard command line parser with default arguments such as plot type, filename, etc.
Alias for plot_end()
plot_end
()Finish plotting
plot_save
(fig, **kwargs)Save figure into output file
Alias for plot_begin()
Alias for plot_end()
A simple test plot
Standard layout options that can be used in plotting methods
Set rcParams depending on output type and other options such as using LaTeX, serif fonts, etc.
Set type of chosen output.
- get_command_line_arguments(desc=None, argstr=None)[source]¶
Standard command line parser with default arguments such as plot type, filename, etc.
If extra arguments are needed, one should copy this routine into an extending class and adapt it to its needs, keeping the existing optional arguments.
- Parameters:
desc (string, optional) – Description for command line parser, which will be shown when called with -h.
argstr (string, optional) – String given as description for the positional arguments.
Notes
Standard command line arguments are:
positional arguments: args Text will be replaced by `argstr`. optional arguments: -h, --help show this help message and exit -p plotname, --plotname plotname Name of plot output file for types pdf, html, d3, or hvplot, and name basis for type png (default: calling_filename without extension). -s, --serif Use serif font; default sans serif. -t outtype, --type outtype Output type is pdf, png, html, d3, or hvplot (default: open screen windows). -u, --usetex Use LaTeX to render text in pdf, png and html. -w, --white White lines on transparent or black background; default: black lines on transparent or white background. --dpi number Dots Per inch (DPI) for non-vector output types or rasterized maps in vector output (default: 300). --transparent Transparent figure background (default: black or white).
Examples
iplot = mcPlot(desc="Test Matthias' plotting class.", argstr="directory file")
- plot_save(fig, **kwargs)[source]¶
Save figure into output file
- Parameters:
fig (matplotlib.figure.Figure) – Matplotlib figure object. argstr : string, optional
kwargs (dict, optional) – Additional keywords will be passed to savefig for ‘pdf’, ‘png’, and ‘html’; to fig_to_html for ‘d3’, and to save for ‘hvplot’. This overwrites self.transparent, self.bbox_inches, self.pad_inches for ‘pdf’, ‘png’, and ‘html’.
- set_layout_options()[source]¶
Standard layout options that can be used in plotting methods
One can either copy this routine into an extending class and adapt it, or add a new method that resets some of the layout options and call it in the initialisation of an extending class, or simply set layout options in the initialisation of an extending class.
Current layout options are:
Option
Description
self.nrow
number of rows of subplots per figure
self.ncol
number of columns of subplots per figure
self.left
left space on page
self.right
right space on page
self.bottom
lower bottom space on page
self.top
upper top space on page
self.hspace
(horizontal) x-space between subplots
self.vspace
(vertical) y-space between subplots
self.textsize
standard text size
self.dxabc
% of (max-min) shift to the right of left y-axis for a,b,c,… labels
self.dyabc
% of (max-min) shift up from lower x-axis for a,b,c,… labels
self.lwidth
line width
self.elwidth
errorbar line width
self.alwidth
axis line width
self.msize
marker size
self.mwidth
marker edge width
self.fgcolor
foreground colour
self.bgcolor
background colour
self.mcols
list of marker colours
self.mcol1
marker colour 1
self.mcol2
marker colour 2
self.mcol3
marker colour 3
self.mcol4
marker colour 4
self.mcol5
marker colour 5
self.lcol1
list of line colours
self.lcol2
line colour 1
self.lcol3
line colour 2
self.lcol4
line colour 3
self.lcol5
line colour 4
self.lcols
line colour 5
self.ldashes
list of line styles
self.llxbbox
x-anchor legend bounding box
self.llybbox
y-anchor legend bounding box
self.llrspace
spacing between rows in legend
self.llcspace
spacing between columns in legend
self.llhtextpad
pad between the legend handle and text
self.llhlength
length of the legend handles
self.frameon
if True: draw a frame around the legend. If None: use rc
self.dpi
DPI of non-vector figure output
self.transparent
True for transparent background in figure
self.bbox_inches
Bbox in inches. If ‘tight’, try to figure out the tight bbox of the figure
self.pad_inches
Amount of padding when bbox_inches is ‘tight’
Examples
Setting layout options in initialisation
class UsemcPlot(mcPlot): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.lcol1 = 'black' self.mynewcol = 'red' # reset global values after colour changes, etc. self.set_matplotlib_rcparams()
- set_matplotlib_rcparams()[source]¶
Set rcParams depending on output type and other options such as using LaTeX, serif fonts, etc.
rcParams can be overwritten in the initialisation of an extending class.
Current parameters set are:
Parameter
Options
ps
papersize, usedistiller
figure
figsize, edgecolor, facecolor
text
usetex, latex.preamble, color
font
family, sans-serif, size
savefig
dpi, format, edgecolor, facecolor
axes
linewidth, edgecolor, facecolor, labelcolor, prop_cycle
boxplot
boxprops.color, capprops.color, flierprops.color, flierprops.markeredgecolor, whiskerprops.color
grid
color
lines
linewidth, color
patch
edgecolor
path
simplify
xtick
color
ytick
color
Examples
Setting rcParams in initialisation
class UsemcPlot(mcPlot): def __init__(self, *args, **kwargs): import matplotlib as mpl super().__init__(*args, **kwargs) mpl.rc('grid', color='red') mpl.rcParams['boxplot.boxprops.color'] = 'blue'


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Sand & Surf Island Vacations
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EXCLUSIVE: Derby one of six Championship clubs keen on Livingston star
Livingston are ready to sell Australian ace Lyndon Dykes in January with a host of English clubs making enquiries, TEAMtalk understands.
The 6ft 2in forward, who can play anywhere across the front-line, was snapped up by Livi in January from Queen of the South, but he did not make his debut for the club until this season.
Dykes has begun his career in Livingston in impressive style, however, netting five goals and assisting two others in 14 games, including three goals in eight outings in the Scottish Premiership.
Such form has seen him attract interest from six Championship clubs, with Middlesbrough, Cardiff, Swansea, Bristol City, Blackburn and Derby all keen on making a move for the 24-year-old.
Boro, especially, are eyeing another forward to bolster their options up front while the other five clubs have also watched him in action in recent weeks and the player could be set for a move south of the border in January.
Dykes is yet to make his debut on the international stage but is eligible to play for both Australia – his country of birth – and Scotland, where his parents are from.
Read more: EXCLUSIVE: Didier Drogba urges Chelsea to track Jamaican duo


Before Change
if classes_jar:
self.create_jarfile(location, filenames=filenames)
if resources:
safe_mkdir(os.path.join(location, "res"))
return location
def create_aarfile(self, location, name, filenames=None):
Create an aar file, using the contents created by self.unpacked_aar_library.
After Change
fp.close()
if classes_jar:
self.create_jarfile(location, filenames=filenames)
resource_dir = os.path.join(location, "res")
safe_mkdir(resource_dir)
if resources:
touch(os.path.join(resource_dir, "resource_file"))
return location


Chamber congratulates new Council CEO
by Business CentralWellington Chamber of Commerce congratulates Barbara McKerrow on being appointed Wellington City Council’s new Chief Executive, replacing Kevin Lavery.
"Barbara’s experience in local government, not just her 2 ½ years as the council’s Chief Operating Officer, but also the nine years she was Chief Executive of New Plymouth District Council, is what we need to continue the work started by Kevin Lavery.
"So she knows how to work with people and she knows our city, and together that’s a big plus.
"There are challenges ahead for the city that will need her full attention.
"Mayor Andy Foster has set out a six-year much-needed programme for transport, urban development, economic, social, cultural, and environment, and will need all the support he can get from Barbara and her team to achieve that.
"The Chamber looks forward to working with her as we all work to take the city and the region forward."


Html
This is my first content box.HTML, in full hypertext markup language, a formatting system for displaying text, graphics, and audio retrieved over the Internet on a computer monitor. Each retrieval unit is known as a Web page (from World Wide Web), and such pages frequently contain hypertext links that allow related pages to be retrieved.
Css
This is my second content box.CSS stands for Cascading Style Sheets. CSS describes how HTML elements are to be displayed on screen, paper, or in other media. CSS saves a lot of work. It can control the layout of multiple web pages all at once. External stylesheets are stored in CSS files.
JavaScript
This is my third content box.JavaScript is a dynamic computer programming language. It is lightweight and most commonly used as a part of web pages, whose implementations allow client-side script to interact with the user and make dynamic pages. It is an interpreted programming language with object-oriented capabilities.


{{ guild.name }}
Members use the color of the highest role they have in this list.
Use roles to customize what server members can or cannot do in the guild.
Role
General
Text
Voice


Upgrading¶
This section covers the steps involved in upgrading an existing Skyline implementation. For the sake of fullness this describes the changes from the last github/etsy/skyline commit to date.
Things to note¶
This new version of Skyline sees a lot of changes, however although certain things have changed and much has been added, whether these changes are backwards incompatible in terms of functionality is debatable. That said, there is a lot of change. Please review the following key changes relating to upgrading.
Directory structure changes¶
In order to bring Skyline in line with a more standard Python package structure the directory structure has had to changed to accommodate sphinx autodoc and the setuptools framework.
settings.py¶
The settings.py
has had a face lift too. This will probably be the
largest initial change that any users upgrading from Skyline < 1.0.0
will find.
The format is much less friendly to the eye as it now has all the comments in Python docstrings rather than just plain “#”ed lines. Apologies for this, but for complete autodoc coverage and referencing it is a necessary change.
Analyzer optimizations¶
There has been some fairly substantial performance improvements that may affect
your Analyzer settings. The optimizations should benefit any deployment,
however they will benefit smaller Skyline deployments more than very large
Skyline deployments. Finding the optimum settings for your Analyzer deployment
will require some evaluation of your Analyzer run_time, total_metrics and
settings.ANALYZER_PROCESSES
.
See Analyzer Optimizations and regardless of
whether your deployment is small or large the new
settings.RUN_OPTIMIZED_WORKFLOW
timeseries analysis will improve
performance and benefit all deployments.
Skyline graphite namespace for metrics¶
The original metrics namespace for skyline was skyline.analyzer
,
skyline.horizon
, etc. Skyline now shards metrics by the Skyline
server host name. So before you start the new Skyline apps when
referenced below in the Upgrade steps, ensure you move/copy your whisper
files related to Skyline to their new namespaces, which are
skyline.<hostname>.analyzer
, skyline.<hostname>.horizon
, etc. Or
use Graphite’s whisper-fill.py to populate the new metric namespaces
from the old ones.
Clone and have a look¶
If you are quite familiar with your Skyline setup it would be useful to clone the new Skyline and first have a look at the new structure and assess how this impacts any of your deployment patterns, init, supervisord, etc and et al. Diff the new settings.py and your existing settings.py to see the additions and all the changes you need to make.
Upgrade steps¶
These step describe an in-situ manual upgrade process (use sudo where appropriate for your environment).
Due to virtualenv being the default and recommended way to now run Skyline, in order to upgrade most of the installation steps in the Installation documentation are still appropriate.
- Setup a Python virtualenv for Skyline - see Running in Python virtualenv - HOWTO
- Go through the installation process, ignoring the Redis install part and breaking out of installation where instructed to and returning to here.
- Stop all your original Skyline apps, ensuring that something like monit or supervisord, etc does not start them again.
- At this point you can either move your current Skyline directory and replace it with the new Skyline directory or just use the new path and just start the apps from their new location.
- If you want to move it, this is the PATH to your current Skyline, which contains:
skyline/bin
skyline/src
# etc
- We are moving your skyline/ directory here.
SKYLINE_DIR=<YOUR_SKYLINE_DIR>
mv "$SKYLINE_DIR" "${SKYLINE_DIR}.etsy.master"
mv /opt/skyline/github/skyline "$SKYLINE_DIR"
- Copy or move your existing Skyline whisper files to their new namespaces on your Graphite server/s (as mentioned above.) Or use Graphite’s whisper-fill.py to populate the new metric namespaces from the old ones after starting the new Skyline apps.
- Start the Skyline apps, either from your path if moved or from the new location, whichever you used
"$SKYLINE_DIR"/bin/horizon.d start
"$SKYLINE_DIR"/bin/analyzer.d start
"$SKYLINE_DIR"/bin/webapp.d start
"$SKYLINE_DIR"/bin/pnorama.d start # if you have the MySQL DB set up
- Check the log files to ensure things started OK and are running and there are no errors.
Note
When checking a log make sure you check the log for the appropriate time, Skyline can log lots fast, so short tails may miss some event you expect between that restart and tail.
# Check what the logs reported when the apps started
head -n 20 /var/log/skyline/*.log
# How are they running
tail -n 20 /var/log/skyline/*.log
# Any errors - each app
cat /var/log/skyline/horizon.log | grep -B1 -A10 -i "error ::\|traceback" | tail -n 60
cat /var/log/skyline/analyzer.log | grep -B1 -A10 -i "error ::\|traceback" | tail -n 60
cat /var/log/skyline/webapp.log | grep -B1 -A10 -i "error ::\|traceback" | tail -n 60
cat /var/log/skyline/panorama.log | grep -B1 -A10 -i "error ::\|traceback" | tail -n 60
# If you have the other services running
cat /var/log/skyline/mirage.log | grep -B1 -A10 -i "error ::\|traceback" | tail -n 60
cat /var/log/skyline/boundary.log | grep -B1 -A10 -i "error ::\|traceback" | tail -n 60
cat /var/log/skyline/crucible.log | grep -B1 -A10 -i "error ::\|traceback" | tail -n 60
- If you added the new
skyline_test.alerters.test
alerts tuples to yoursettings.py
you can test them now, see Alert testing - Look at implementing the other new features at your leisure
- Panorama is probably the quickest win if you opted to not install it
- Boundary and Mirage will take a little assessment to see what metrics you want to configure them for.


The update
tool can be used to install, update, and remove software on the target device.
It mainly operates on update
packs
that are files containing install, update, and/or removal instructions and any files needed to carry out those instructions.
Update packs are created on the development host using the mk
tools (mkapp
and mksys
) and the update-pack host tool. See Update Process for more info.
update [FILE_NAME] update -r APP_NAME update --remove APP_NAME update --help
When run without any command-line arguments, or when run with FILE_NAME
set to a dash - character, it takes an update pack file through standard in, and forwards it to the Update Daemon for processing.
update [FILE_NAME]
Opens the update pack and feeds it to the Update Daemon for processing.
--remove or -r
Removes the app specified in the
APP_NAME
argument.
Here's a code sample:
update /tmp/myUpdatePack.update
--help
Prints help text to standard out and exits.
Copyright (C) Sierra Wireless Inc. Use of this work is subject to license.


Inventory
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Training Computer
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KVS
Modem
Monitor
Mouse
Network Switch
Ooma
POS Printer
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Returned
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Submit


The unit called NegativeF takes an input spectral data set and returns
the same data set with all the positive-frequency elements (including zero-frequency)
set to zero. If the input set is one-sided, then it is converted to two-sided
before being processed. See FullSpectrum
for the effect of converting a one-sided spectrum to two-sided.


Toggle navigation
GrovePi Home Monitor v1.11
Dashboard
GrovePi Home Monitoring v1.11
Radiators Blow. What is that clanking noise?
Current Temp
Ambient Sound


By the fireside
alright alright alright!
2014.1.18
I've always led my life, it seems, in a trial-and-error type of way. If not a, then b. If not a life as a financial analyst, then explore the medical field. If not life as a doctor, then tackle the role of content generation at a health non-profit. If not that, then this. I have grown to be perfectly okay with that.
If there's anything that I took away from the fireside chat with Shereef, it's that DBC is definitely a group effort. Go into it with a closed mindset that you will either be the best or worst developer of your cohort, and you will lose either way. Believe that you are all cooks in the kitchen contributing and feeding off of each other, and you will grow and develop in unexpected ways.
I see DBC being an environment where I can really get to know those of my cohort and improve together. I also have to recognize that I must humble myself daily and put in a good effort, regardless of the difficulty level of a challenge or the difficulty in peer pairing compatibility.
I'm nervous that this turn in my life is another one of my trial and errors, but I only know that learning about being a developer has been a long-time desire of mine. I can only gain more knowledge through DBC and my cohort, and more.


This is a demo showing how to create, deploy and call a Micro Service using Spring Boot on the Google Cloud Platform.
@Copyright Stelinno 2017


The Atlantic Current: Mapping the Virgins of Guadalupe and Remedios
Naucalpan, Mexico City, Mexico
Recorded in 1621 by Friar Luis de Cisneros, the legend of the Virgin of los Remedios begins with the arrival of Hernan Cortes in Mexico in 1519. One of his soldiers brought a effigy of the Virgin of los Remedios, known as a saddle virgin because of its small size, across the Atlantic to the New World. When Cortes’ forces entered Tenochtitlan, they placed the image on the altar of the Templo Mayor. Once placed there, no one had the strength to remove it. La Virgen remained in the heart of Tenochtitlan until the night of noche triste, June 30, 1520. As the Aztecs rose up to expel the Spanish forces from their capital, a fleeing solider grabbed the image. The legend recounts the Virgin of Los Remedios and St. James appearing in the sky to cast dust in the eyes of the Aztecs, allowing the Spanish to flee.
Cortes’ forces that made it out of the city spent the night on Totoltec hill. They placed the Virgin of Los Remedios on an altar of a small Aztec temple. She fell under a Maguey and was forgotten for decades. Eventually, a Nahua Cacique, Juan de Tovar discovered the image. His discovery of the image underneath the Maguey subverts the Shepherd’s Cycle as he was an indigenous convert rather than a faithful European Christian. After several miraculous appearances, the city council of New Spain built a shrine for Remedios.
Although she resided at her shrine, throughout the sixteenth, seventeenth, and eighteenth centuries, she was often processed into the capital and kept at the cathedral in times of need. Remedios was thought to be particularly effective against drought, famine, and disease.
During the 1810 revolt against the crown in Mexico, Fr. Miguel Hidalgo took on the Virgin of Guadalupe as the symbol of Mexico. Always a patron of the Viceroyalty, Remedios came to be associated with the Royalist cause and her devotion subsequently declined. This analysis ignores the fact that indigenous groups remained devoted to her throughout her history and even today.
Works cited
- Cisneros, Fray Luis. Historia del Principio, Origen, Progresos y Venidas a Mexico y Milagros de la Santa Imagen de Nuestra Señora de los Remedios Extramuros de Mexico. México: Benson Latin American Collection, 1999.
- Curcio-Nagy, Linda A. “Native Icon to City Protectress to Royal Patroness: Ritual, Political Symbolism and the Virgin of Remedies.” The Americas 52, no. 3 (1996): 367-91. doi:10.2307/1008006.
- Granados Salinas, Rosario. 2012. Fervent Faith. Devotion, Aesthetics, and Society in the Cult of Our Lady of Remedios (Mexico, 1520-1811). Doctoral dissertation, Harvard University.
Cite this article
Katherine Dau. "Naucalpan, Mexico City, Mexico." The Atlantic Current: Mapping the Virgins of Guadalupe and Remedios. . https://dauk19.wludci.info/atlanticcurrent/article/2019-03-10-naucalpan-rem/


## Contributing
This library is free, and will stay free but needs your support to sustain its development. There are lots of [**new features**](roadmap.html) and maintenance to do. If you work for a company using **doctest** or have the means to do so, please consider financial support.
[![Pledgie](https://pledgie.com/campaigns/31280.png)](https://pledgie.com/campaigns/31280)
[![Patreon](https://cloud.githubusercontent.com/assets/8225057/5990484/70413560-a9ab-11e4-8942-1a63607c0b00.png)](http://www.patreon.com/onqtam)
[![PayPal](https://www.paypalobjects.com/en_US/i/btn/btn_donate_LG.gif)](https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=3K423Q6TK48BN)
## Pull requests
Consider opening an issue for a discussion before making a pull request to make sure the contribution goes smoothly.
All pull requests should be made against the ```dev``` branch because the ```master``` is the stable one with the latest release.
If you're going to change something in the library itself - make sure you don't modify ```doctest/doctest.h``` because it's generated from ```doctest/parts/doctest_fwd.h``` and ```doctest/parts/doctest_impl.h``` - they get concatenated by CMake - so make sure you do a CMake build after you modify them so the ```assemble_single_header``` target gets built.
This framework has some design goals which must be kept. Make sure you have read the [**features and design goals**](doc/markdown/features.html) page.
If your changes also change the output of the library - you should also update the reference output for the tests or otherwise the CI builds (```travis``` and ```appveyor```) will fail when they compare the latest output to the outdated reference output (which is committed in the repository). To do this run CMake with the ```TEST_MODE``` variable set to ```COLLECT``` (making the new reference output) and then run ```ctest``` and commit the changed ```.txt``` files too. The default ```TEST_MODE``` is ```COMPARE```.
Example: ```cmake -DTEST_MODE=COLLECT path/to/sources && ctest```
Code should be formatted with a recent-enough ```clang-format``` using the config file in the root of the repo (or I will do it...)
Testing with compilers different from GCC/Clang/MSVC (and more platforms) is something the project would benefit from.
---------------
[Home](readme.html#reference)


These settings relate to the supported relay signals for enabling / disabling output current, input current and the charger.
Associated Parameters & Screens:
Charger Safety Relay Settings
Charger Safety Relay Flowchart
Discharge Enable Relay Settings
Discharge Enable Relay Flowchart
Charge Enable Relay Settings
Charge Enable Relay Flowchart
Minimum Relay Restore Time


COVID-19 Info App
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Find a test center near you
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Contents
Primer
Libraries
| |
|
pip install numpy |
Install library |
pip install git+https://github.com/mwaskom/seaborn.git |
Install from GitHub |
import numpy |
load library |
starting
By putting # infront line, Python ignores running the rest.
| |
|
x=1 # Python ignore |
Python ignores running after # |
import os
|
|
os.getcwd() |
See the working directory |
os.chdir() |
Change the working directory |
Mathematical operations
| |
|
1 + 2 |
Addition |
1 - 2 |
Subtraction |
1 / 2 |
Division |
1 * 2 |
Multiplication |
1 ** 2 |
Power |
x += 1 |
Assign the value of x + 1 to x |
x -= 1 |
Assign the value of x - 1 to x |
Built-in Constants
| |
|
None |
Absence of a value |
False |
The bool type false |
True |
The bool type true |
Type
| |
|
str() |
Convert the string |
int() |
Convert the integer |
float() |
Convert the floating |
bool() |
Convert the boolen |
Lists
| |
|
l = list() |
Assign an empty list to l |
l = [3,2] |
Create list and assgn 3 and 2 to it |
l[0] |
Return the first value |
l[-1] |
Return the last value |
l[-4:] |
Return that last 4 items. |
l[1:4] |
Return subset containing the second till fourth values |
l[1::3] |
Return every third items starting from l[1] |
l.append(1) |
Append the value 1 to the end of l |
l+[1] |
Append the value 1 to the end of l |
l.sort() |
Sort l and replace original with it |
l.reverse() |
Sort reversely the items in l |
l.remove(a) |
Removes the first item equals to a. |
l.pop(2) |
Restun the second item and drop it from l |
[i for i in range(1,100) if i%2==0] |
Generate list of even number between 1 and 100 |
l= [1, "", 3] |
Creat a list with missing value. |
Dictionary
| |
|
d={"weight":2.4, "height":15} |
Creat a dictionary with keys “weight” and “height”, and their corresponding values of 2.4, 15 |
d["weight"] |
Return values corrsponding “weight” |
d.keys() |
Return the keys from d |
d.values() |
Return the values from d |
d.items() |
Return (key, value) pairs from d |
Built-in function
| |
|
len(x) |
Return the number of elements in x |
min(x) |
Return the min of the values of x |
sum(x) |
Return the sum of the values of x |
type(x) |
Return type of the values of x |
range(3,10) |
Generate a series of number from a number (3) to another number (10) with specific increment |
User Function
| |
|
def name (argument): script
return output |
Create a function |
name = lambda arguments: script |
Create one line function |
if state1: script1 elif x < 0: script2 else: script3 |
Test state1 and state2, and run script corresponding to the correct statement, otherwise run script3 |
Iterates
| |
|
for value in obj: script |
Iterate the code for each value in obj |
while cond: script |
Run the code until reach to condion |
Boolean Comparisons
| |
|
x == 2 |
Test whether x is equal to 2 |
x != 2 |
Test whether x is not equal to 2 |
x < 2 |
Test whether x is less than 2 |
x <= 2 |
Test whether x is less than or equal to 2 |
x > 2 |
Test whether x is greater than 2 |
x >= 2 |
Test whether x is greater than or equal to 2 |
(x == 2) or (y == 1) |
Test whether x is equal to 5 or y is equal to 1 |
(x == 2) | (y == 1) |
Test whether x is equal to 5 or y is equal to 1 |
(x == 2) and (y == 1) |
Test whether x is equal to 5 and y is equal to 1 |
(x == 2) & (y == 1) |
Test whether x is equal to 5 and y is equal to 1 |
3 in l |
Checks whether the value 3 exists in the l |
Numpy
Numpy (NUMerical PYthon) provides very useful arrays structure to work with data.
| |
|
import numpy as np |
|
pips install numpy |
|
python3 -m pip install --upgrade numpy |
|
Arrays
| |
|
np.array([1,2,3]) |
One dimensional array |
np.array([(1,2,3),(4,5,6)]) |
Two dimensional array |
arr[i] |
The ith element |
arr[i:] |
The ith row |
arr[i][j] |
The ith and jth element, the same as arr[i,j] |
np.full((2,1),2.2) |
2x1 array with all values 2.2 |
np.linspace(0, 1, 10) |
|
np.eye(3) |
A diagonal array of size 3x3 (Identity matrix) |
np.zeros(3) |
An array of length 3 with all values 0 |
np.ones((4,2)) |
An array of size 4x2 with all values 1 |
np.arange(1,14,4) |
An 1D array from 1 to 14 with step 4 |
Random
| |
|
np.random.rand(4,2) |
Generates a 4x2 array of random number from uniform |
np.random.rand(4,2) |
Generates a 4x2 array of random number from standard normal |
np.random.randint(low=1,high=20, size=(2,3)) |
Generates a 2x3 array of random ints between 1–20 |
np.random.choice(arr,size=s,replace=True,p=pr) |
Resamples of size s from arr acording probability pr |
O\S
| |
|
np.savetxt('file.txt',arr,delimiter=' ') |
Writes to a text file |
np.savetxt('file.csv',arr,delimiter=',') |
Writes to a CSV file |
np.loadtxt('file.txt') |
Loads from a text file |
np.genfromtxt('file.csv',delimiter=',') |
Loads from a CSV file |
np.save('file_of_arr.npy ', arr) |
Saves array into a file |
np.savez('file_of_arr.npz', arr1, arr2) |
Saves array into a file |
np.load('my_array.npy') |
Loads arrays |
Inspecting arrays
| |
|
arr.dtype |
Returns type of elements in array |
arr.size |
Returns number of elements in array |
len(arr) |
Length of array |
arr.shape |
Returns dimensions of arr |
arr.astype(dtype) |
Convert arr elements to type dtype |
arr.tolist() |
Convert arr to a Python list |
Sorting
| |
|
arr.sort() |
Sort elements of arr |
arr.sort(axis=0) |
Sorts elements of axis=0 of arr |
Reshaping
| |
|
arr.reshape(4,3) |
Reshapes arr to 4x3 without changing data |
arr.resize((4,3)) |
Changes arr shape to 4x3 and fills new values with 0 |
arr.T |
Transposes arr |
Concatenate
| |
|
np.concatenate(arr1,arr2,axis=0) |
concatenate arr2 to arr1 along the axis |
np.hstack((arr1,arr2)) |
Stack arrays horizontally (column wise) |
np.vstack((arr1,arr2)) |
Stack arrays vertically (row wise) |
Copying
| |
|
arr2 = arr1.view() |
Create a view of the array with the same data |
np.copy(arr) |
Create a copy of aar |
arr2 = arr1.copy() |
Create a deep copy of the array |
Adding/Removing Elements
| |
|
np.append(arr1,arr2) |
Append arr2 to arr1 |
np.insert(arr, 1, 10) |
Insert 10 on index 1 items |
np.delete(a,2) |
Delete element on index 1 from array |
Indexing
| |
|
arr[2] |
Returns the element at index 2 |
arr[2]=3 |
Assigns 3 to the element on index 2 |
arr[2,3] |
Returns the array element on index [2,3] |
arr[2,3]=10 |
Assigns 3 to the element on index [2,3] |
Slicing
| |
|
arr[:2] |
Returns the elements at indices 0,1 |
arr[2:4] |
Returns the elements at indices 2,3 |
arr[0:2,3] |
Returns the elements on rows 0,1 at column 3 |
arr[:,1] |
Returns the elements on column 2 |
arr[[1,2],[2,3]] |
Returns the elements at indices [1,3] and [2,3] |
Subsetting
| |
|
arr<2 |
Returns a boolen array, True for arr<2 and False for the rest |
(arr1<2) & (arr2>3) |
Returns a boolen array, True for (arr1<3) & (arr2>5) and False for the rest |
arr[arr<2] |
Select array with elements smaller than 2 |
arr[~(arr<2)] |
Select array with elements not smaller than 2 |
Vector Math
| |
|
np.add(arr1,arr2) |
Elementwise add arr2 to arr1 |
np.subtract(arr1,arr2) |
Elementwise subtract arr2 from arr1 |
np.multiply(arr1,arr2) |
Elementwise multiply arr1 by arr2 |
np.divide(arr1,arr2) |
Elementwise divide arr1 by arr2 |
np.power(arr1,arr2) |
Elementwise raise arr1 raised to the power of arr2 |
np.array_equal(arr1,arr2) |
Returns True if the arrays have the same elements and shape |
np.sqrt(arr) |
Square root of each element in the array |
np.sin(arr) |
Sine of each element in the array |
np.log(arr) |
Natural log of each element in the array |
np.abs(arr) |
Absolute value of each element in the array |
np.ceil(arr) |
Rounds up to the nearest int |
np.floor(arr) |
Rounds down to the nearest int |
np.round(arr) |
Rounds to the nearest int |
Aggregate Functions
| |
|
arr.min() |
Returns minimum value of arr |
arr.max(axis=0) |
Returns maximum value of specific axis |
np.mean(arr,axis=0) |
Returns mean of specific axis |
np.median(arr,axis=0) |
Returns median of specific axis |
arr.sum() |
Returns sum of arr |
np.var(arr) |
Returns the variance of array |
np.std(arr,axis=1) |
Returns the standard deviation of specific axis |
np.quantile(arr,q=(q1,q2,..), axis=1) |
Returns the (q1,q2, ….) quantiles of specific axis |
arr.corrcoef() |
Returns correlation coefficient of array |
Pandas
Pandas is built for working with data set.
| |
|
import pandas as pd |
|
pip3 install pandas |
|
python3 -m pip install --upgrade pandas |
|
Create Data frame and series
| |
|
pd.DataFrame(matrix, column=) |
Create data frame from matrix. |
pd.DataFrame(dict) |
Create data frame from a dict, keys would be used as the name of columns |
pd.Series(list) |
Create a series from a list |
df.index = pd.date_range('2000/1/1', periods=df.shape[0]) |
Add a date index to the data frame |
I/O
| |
|
pd.read_csv(filename) |
Load CSV file |
pd.read_table(filename) |
Load from a delimited text file |
pd.read_excel(filename) |
Load from an Excel file |
pd.read_sql(query, connection_object) |
Load from a SQL table/database |
pd.read_json(json_string) |
Load from Read JSON formatted file s |
pd.read_html(url) |
Create a data from from an html URL |
pd.read_clipboard() |
Create a data frame from the contents of your clipboard |
df.to_csv(filename) |
Save df as a CSV file |
df.to_excel(filename) |
Save df as an Excel file |
df.to_sql(table_name, connection_object) |
Save df to a SQL table |
df.to_json(filename) |
Save df as a file in JSON format |
Inspecting arrays
| |
|
arr.dtype |
Returns type of elements in array |
arr.size |
Returns number of elements in array |
len(arr) |
Length of array |
arr.shape |
Returns dimensions of arr |
arr.astype(dtype) |
Convert arr elements to type dtype |
arr.tolist() |
Convert arr to a Python list |
arr.value_counts(dropna=False) |
View unique values and counts |
df.head(l) |
Return the first l rows of the DataFrame |
df.tail(l) |
Return the last l rows of the DataFrame |
df.shape |
Return the number of rows and columns |
df.info() |
Return index, datatype, and memory information |
df.describe() |
Return the summary statistics of numerical columns |
Sorting
| |
|
df.sort_values(col) |
Sort data frame values by col in ascending order |
df.sort_values(col,ascending=False) |
Sort data frame values by col in descending order |
df.sort_values([col1,col2],ascending=[True,False]) |
data frame values by col1 in ascending order then col2 in descending order |
Adding/Removing Elements
| |
|
df.columns = ['name1','name2'] |
Add new name to columns |
df.rename(columns={'old_name': 'new_ name'}) |
Rename columns |
df.set_index('colu') |
Change the index to the given column |
s.replace([1,2],['two','one']) |
Replace 1 and 2 with ‘two’ and ‘one’, respectively |
Missing
| |
|
pd.isnull() |
Find the null values, True for the null |
pd.notnull() |
Opposite to pd.isnull() |
df.dropna() |
Drop all rows that contain null values |
df.dropna(axis=1) |
Drop all columns that contain null values |
df.dropna(axis=1,thresh=n) |
Keep only the column with at least n non null values |
df.fillna(x) |
Replace all null values with x |
df.fillna([‘A’:0,‘B’:0]) |
Replace all null values in column ‘A’, and ‘B’, with 0, 1 respectively. |
s.fillna(s.mean()) |
Replace all null values with the mean or any other statistics you define |
Indexing
| |
|
df[col] |
Returns column with label col as Series |
df[[col1, col2]] |
Returns columns corresponding col1, col2 |
df.iloc[i,:] |
The (i-1)th row |
df.iloc[i,j] |
The (i-1)th and (j-1)th element |
s.iloc[i] |
Return elements in position (i-1) by position |
s.loc['index'] |
Return elements correspondingthe index |
Subsetting
| |
|
df[df[col] < 1] |
Return element less than 1 in column col |
df[(df[col] > 0.5) & (df[col] < 1)] |
Return 0.5< element < 1 in column col |
Group by
| |
|
df.groupby(col) |
Group data frame based on col. |
df.groupby(col).mean() |
Calculate mean after grouping based on col. |
df.groupby(col1).agg(fun) |
Group the data frame based on col and run function on it. |
df.pivot_table(index=col1,values=[col2,col3],aggfunc=mean) |
Create a pivot table using index of col1 and calculates the mean (or any other function) of col2 and col3 |
Apply
| |
|
df.apply(fun) |
Apply the function fun across each column |
df.apply(np.max,axis=1) |
Apply the function fun across each row |
Join/Combine
| |
|
df1.append(df2) |
Add the rows in df1 to the end of df2 (columns should be identical) |
pd.concat([df1, df2],axis=1) |
Add the columns in df1 to the end of df2 (rows index should be identical) |
Aggregate Functions
| |
|
df.describe() |
Summary statistics for numerical columns |
df.count() |
Returns the number of non-null values in each DataFrame column |
df.min() |
Returns the minimum in each column |
df.max() |
Returns the maximum in each column |
df.mean() |
Returns the mean in each column |
df.median() |
Returns the median in each column |
df.std() |
Returns the standard deviation in each column |
df.corr() |
Returns the correlation between columns |
⬆ back to top
References
[sw] https://swcarpentry.github.io/sql-novice-survey/
[dpo] https://docs.python.org/3.7/library/sqlite3.html
[sw2] https://swcarpentry.github.io/sql-novice-survey/10-prog/index.html
[gc] https://github.com/CoreyMSchafer/code_snippets/tree/master/Python-SQLite
[dor] https://datacarpentry.org/R-ecology-lesson/05-r-and-databases.html
[wdc] https://www.datacamp.com/community/tutorials/sqlite-in-r
[sw3] https://swcarpentry.github.io/sql-novice-survey/11-prog-R/index.html
[w3] https://www.w3schools.com/sql/sql_create_table.asp
[wt] https://www.techonthenet.com/sql/index.php
[qlt] https://www.sqlitetutorial.net
License
Copyright (c) 2019 Saeid Amiri and Leila Alimehr


{% extends "base.html" %} {% block title %}
Medieval catalogues > SECULAR INSTITUTIONS: Hospitals, Towns, and the Professions > Ewelme, Domus Dei > Inventory of goods, 10 September 1466
{% endif %}6 identified entries found.
All data was derived from the List of Identifications by Professor Richard Sharpe.
{% if not printing %}
A key to codes used in the List is available (opens in new tab).{% endif %}


Description and links
This app will allow you to connect to a SMART protected server, and execute queries against that server. There is a
server already configured (the SMART test site), but you can easily add other servers as needed.
Links (open in new tab)
Reference material
Blog posts
Quick start instructions
To connect to a server
- Select the server in the left panel, then click the 'Login' button to start the connection process.
- If the callback is not correct (ie it doesn't match the one exposed by the local server) then you'll get an error
message and the process will top. Otherwise, the app will read the CapabilityStatement from the server root to get
the SMART endpoints exposed by the remote server, then the iFrame (this window) will be re-directed to the SMART
Authorization end point as per the specification.
- Progress will be displayed on the left side. If there are errors, then they will displayed either here, or in the iFrame
Add a new server to the list
- Click the 'Edit server list' link at the upper right. A dialog with all the currently configured servers
will be displayed
- To add a new server, you must first have registered this app with the SMART server, and have a login to the SMART server if
it requires it. This process will depend on the SMART server.
- To add a configuration to the app,
click the 'Add' button at the top left above the list of servers. The right tab will display a form with inputs
for each option. The following values can be entered through the SMART configuration tab:
- A name for the server config. This will appear in the list to the left, and should be unique in the list
- An optional description of the configuration
- The base url to the SMART servers endpoint. This is where the FHIR server is located. Be sure to include the trailing '/'
- The callback url. This is where the SMART server will redirect the browser to after authentication. The value is pre-populated (as
it is exposed by this app, and it must match one of the callbacks registered in the SMART server.
- The client id. This must be the same as the one assigned by the SMART server when the app was registered
- If you have specified that this app is a confidential one (It isn't really as the config data is stored in the
browser - but that doesn't matter for testing) then enter the secret that was supplied by the SMART server.
- The default scope for the app. This can be changed when actually making the call.
- You can also enter your login credentials and notes about the server in the 'User details & Notes' tab. These are just for your
convenience and are not sent to the server
- Click the 'Update list' button at the upper right to save. (The whole list is updated).
Edit an existing server
- Click the 'Edit server list' link at the upper right. A dialog with all the currently configured servers
will be displayed.
- Select the entry you wish to change, and update as required (see notes above).
- Click 'Update list' to save.
Remove a server
- Click the 'Edit server list' link at the upper right. A dialog with all the currently configured servers
will be displayed.
- Select the entry you wish to remove and click the 'Delete' link to the upper right.
- Click 'Update list' to save.


 For A Living is a program that helps
students learn more about career options. To learn more and to create a user account for your child, click here.


This example walks through the basics of setting up and logging messages to a YUI Console instance. Three Console instances are created with slightly different configurations. All calls to Y.log(..)
will be broadcast to every Console.
Rendered in default location (top right)


About us
Our Company
The Organization Dsoft Infosystems is a leading brand in Sourcing, Training and Software Development, which provide the expert Guidence in various technologies like HTML5, AngularJS, BackboneJS, Advance Java, web services, .NET, WCF, MVC and databases. Established in 2012, The Company has been promoted by some highly experienced Professionals dedicated to provide total IT solutions under one roof. It possesses not only the latest technology gadgets but also the most knowledgeable and experience hands to offer most user friendly customized solutions.
1. We have team with smart, talented, and fun people who are passionate about making great software.
2. It is always our priority to treat our customers with respect. That means writing software that we are proud of and then supporting it.
3. We are also belive in treating each other with respect.
Our Vision
We strive to become a global software and Internet company.
We are passionate in helping business throuth innovative technologies to reach and maximize their business dreams.
Mission
It is throuth our passion and commitment to our clients that we develop softeare to face real-world challenges.
It is our love for and dedication to what we do that enables us to become a better company for ourselves, our clients, our community and for the world.


Settings
Paint Brush
* High quality and low density may lead to color abberation.
Higher quality also brings more CPU pressure.
Paper
Resize the paper by clicking the APPLY button below,
this will also clear all history operations.
Environment
Network


Project Contributors
Bookworm was created by Benjamin Schmidt (Department of History, Northeastern), Matt Nicklay, Neva Cherniavsky Durand, Martin Camacho, and Erez Lieberman Aiden (Rice/Harvard Cultural Observatory). It enables visual and statistical exploration of massive collections of texts. If you use it in an academic publication, please include a link to bookworm.culturomics.org.
This web site and the D3 visualization libraries on top of the core bookworm infrastructure were created by Ben Schmidt.
Support for the project has come from the National Endowment for the Humanities, the Digital Public Library of America, and the Open Science Data Cloud.
Acknowledgements
This page is maintained using hakyll.
These webpage templates build heavily off of
Visualizations are created using D3, created by Mike Bostock. There are several places where the visual approaches or css styles borrows more or less shamelessly from the work of Bostock and/or Jason Davies.
This product includes color specifications and designs developed by Cynthia Brewer (http://colorbrewer.org/). See the ColorBrewer website for further information about each colorscheme, colorblind suitability, licensing, and citations.


Was so happy to find a consistent crew to play with on APEX Legends.
Either you would join a game and have the most toxic players, or someone would bail as soon as they were downed.
This service is great to find reliability and positivity in the community. Looking forward to finding other game communities on this site.
-Ryan (RESURECTOR45)
I play a multitude of games which all have some form of toxicity that
I personally want to avoid by getting a reliable squad. This site has a few games I normally play,
but the owner is working on adding more servers based on requests. Small amount of servers for time being, but hopefully new requests will populate it further.
-Nathan (BtrThNU92)
League is by far one of the hardest games to adapt to.
Was told to come visit this site to seek a crew to help with the learning curve. Found an amazing group of similarly skilled players.
We still aren’t the best, but it’s fun and we are slowly improving. Looking forward to continuing to use Seraph7 servers to help our communication!
-Alex (AlexDaGreat)


[§431:10H-402] Purchase of policy and payment of premiums on an individual's behalf. An insurer shall allow a person to purchase an individual or group long-term care insurance policy and pay the premiums for an individual or group long-term care insurance policy that covers the person, the person's spouse, or reciprocal beneficiary, as well as their parents and grandparents, and in-law parents and grandparents. Nothing in this section shall preclude an insurer from underwriting such a policy. [L 1999, c 93, pt of §2]
DERIVATION TABLE OF ARTICLE 10H FROM THE NATIONAL ASSOCIATION OF INSURANCE COMMISSIONERS 1998 MODEL ACT OR REGULATIONS
1998 NAIC ACT § 1998 NAIC REGULATION § HRS §
1 0 431:10H-101
2 0 431:10H-102
3 0 431:10H-103
4 0 431:10H-104
5 0 431:10H-105
6A 0 431:10H-106
6B 0 431:10H-107
6C 0 431:10H-108
6D 0 431:10H-109
6E 17 431:10H-110
6F 431:10H-111
6G 431:10H-112
6H 431:10H-113
6I to K 431:10H-114
7 0 431:10H-115
8 0 431:10H-116
9 0 431:10H-117
0 5 431:10H-201
0 6A 431:10H-202
0 6B 431:10H-203
0 6C 431:10H-204
0 6D 431:10H-205
0 6E 431:10H-206
0 6F 431:10H-207
0 7A 431:10H-208
0 7A 431:10H-209
0 7B 431:10H-210
0 8A 431:10H-211
0 8B 431:10H-212
0 8C 431:10H-213
0 8D 431:10H-214
0 8E 431:10H-215
0 8F 431:10H-216
0 8G 431:10H-217
0 9 431:10H-218
0 10 431:10H-219
0 11 431:10H-220
0 12 431:10H-221
0 13 431:10H-222
0 15 431:10H-223
0 16A 431:10H-224
0 16B 431:10H-225
0 17 431:10H-226
0 18 431:10H-227
0 19 431:10H-228
0 20A, 20B 431:10H-229
0 20C 431:10H-230
0 21 431:10H-231
0 22 431:10H-232
0 23 431:10H-233
0 24 431:10H-234
0 25 431:10H-235
0 26 431:10H-236
0 0 431:10H-301
0 0 431:10H-302
0 0 431:10H-303
0 0 431:10H-304
0 0 431:10H-401
0 0 431:10H-402


Experience
180 Amsterdam - since oct 14
D&AD Graduate Academy (2014)
Falmouth University creative advertising MA (both)
English literature BA (Alex)
Graphic design BA (Brad)
Alex
<EMAIL_ADDRESS>+31 615509147
instagram
Bradley
<EMAIL_ADDRESS>+31 615509146
instagram
Bradley
Various art/design works
Photography website
Artwork for Prolectic Records
Instagram
Illustrations
Photo shoot for asics apparel
a limited run of Helpful thoughts screen printed by hand
HP: made in
HP: Omen
ASICS: 360° protection
Pfizer: champix
PlayStation: champions league
HP: Shackleton
Dhl: Partnerships
PlayStation: No man's sky
PlayStation: showcase