So morality does not exist and humans have a final end, or nature.
Is something which fulfills its final end better than something that does not?
Yes, something is good to the extent that it fulfills its final end.
No, something is not good to the extent that it fulfills its final end.
Back


Macros
1 + 2 = ?
Compute
3 + 5 = ?
Compute
(Check console for errors)
Attempt recursion
(Check console for errors)
Attempt cycle


The sequence for entering precise dimension input is
1). specify the length:
Press . (period key)
A prompt window is displayed
Enter the dimension in user units
Graphic tab DL is set.
2). specify the direction.
Press a Diamond Key: ESDX RWZC FV
The cursor moves distance DL in the direction specified by the Diamond Key.
You can change DL and move the cursor on the fly with a GIN operation pending.
for example. if you are in Draw Mode and wish to draw a scaled line from the cursor position 12'6" to the East, press these keys in order:
2.12'6"<Enter>D2


Normalization is something you need to be aware of if you are authoring HTML pages with CSS style sheets in UTF-8 (or any other Unicode encoding), particularly if you are dealing with text in a script that uses accents or other diacritics. This article explains what normalization is, and why you need to be aware.
In Unicode it is possible to produce the same text with different sequences of characters. For example, take the Hungarian word világ. The fourth letter could be stored in memory as a precomposed U+00E1 LATIN SMALL LETTER A WITH ACUTE (a single character) or as a decomposed sequence of U+0061 LATIN SMALL LETTER A followed by U+0301 COMBINING ACUTE ACCENT (two characters).
The Unicode Standard allows either of these alternatives, but requires that both be treated as identical. To improve efficiency, an application will usually normalize text before performing searches or comparisons. Normalization, in this case, means converting the text to use all precomposed or all decomposed characters.
There are four normalization forms specified by the Unicode Standard: NFC, NFD, NFKC and NFKD. The C stands for (pre-)composed, and the D for decomposed. The K stands for compatibility. To improve interoperability, the W3C recommends the use of NFC normalized text on the Web.
Unfortunately, normalization doesn't always take place before content is compared. A particularly important case is the use of selectors and class names or ids in HTML and CSS. If the word világ is used in precomposed form in the HTML (eg. <span class="világ">
), but in decomposed form in the CSS (eg. .világ { font-style: italic; }
), then the selector won't match the class name.
What this means is that when producing content you should ensure that selectors and class or id names are character-for-character the same. This is particularly likely to be a issue if the markup and the CSS are being authored or maintained by different people.
The best way to ensure that these match is to use one particular Unicode normalization form for all authored content. As we said above, the W3C recommends NFC.
Most keyboards for European languages output text in NFC already, but this is less likely to be the case if dealing with many non-European languages.
In some cases your editor may allow you to save data in a choice of normalization forms. The picture below shows an option for setting a particular normalization form as the default when opening new files in Dreamweaver (NFC is selected). You are shown a similar choice when saving a document.
You can find out whether an HTML page contains class names and id values that are not normalized according to NFC by using the W3C Internationalization Checker.
If you do have problems, you should find an editor or conversion tool that allows you to specify the normalization form, and use that to re-save your page.
Getting started? Introducing Character Sets and Encodings
Techniques, Authoring HTML & CSS


Mathematics Teacher(MSc) .
My Name
Some text about me. Some text about me. I am lorem ipsum consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Partners
Projects Done
Happy Clients
Meetings
My Course
- +2 Science Mathematics for CHSE, CBSE & ISC
- Elements Of Mathematics vol-1
- Elements Of Mathematics vol-2
- 5GB Storage
- Mail Support
-
$ 10
per month
My Testimonials
Sangram Mohanty . Priciple at Samrat Degree College .
Sairam Patro is a good Teacher and learner.
Gouri Shankar Patro. Priciple at Nist.
No one is better than Sairam Patro .
My Classroom Credo
1.I believe that teachers should be passionate about what they teach. They should teach students that it is okay to believe in themselves, and participate in all avenues they enjoy.
2.I believe that great teachers provide the students with confidence to achieve their academic and personal goals.
3.I believe that every teacher should be knowledgeable about the subject discipline they teach.
4.In my classroom, I will emphasize that I want to create lasting relationships with my students and their parents, and therefore, they should not be afraid to come to me with their concerns or questions.
5.I believe that teachers should stay up-to-date with current technology to help relate to the students and help them understand how to properly use and respect their devices.
6. believe that it is every child's right to be in a safe and caring environment, and that it is the teachers duty to provide one.
Contact Me
Brahmapur, Odisha
Phone:<PHONE_NUMBER>
Email<EMAIL_ADDRESS>Lets get in touch. Send me a message:


{% extends "master.html" %} {% block title %} {% endblock %} {% block content %}
To change your password, you must enter your current password.


public abstract class Regression
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
double |
epsilon
Convergence tolerance.
|
int |
maxIter
Maximal number of iterations.
|
int |
n
Number of examples.
|
int |
ny
Number of dependent variables.
|
int |
p
Number of independent variables.
|
Matrix |
W
Unknown parameters represented as a matrix (p x ny).
|
Matrix |
X
Training data matrix (n x p) with each row being
a data example.
|
Matrix |
Y
Dependent variable matrix for training (n x ny).
|
| Constructor and Description |
|---|
Regression() |
Regression(double epsilon) |
Regression(int maxIter,
double epsilon) |
Regression(Options options) |
| Modifier and Type | Method and Description |
|---|---|
void |
feedData(double[][] data)
Feed training data for this regression model.
|
void |
feedData(Matrix X)
Feed training data for the regression model.
|
void |
feedDependentVariables(double[][] depVars)
Feed training dependent variables for this regression model.
|
void |
feedDependentVariables(Matrix Y)
Feed training dependent variables for this regression model.
|
abstract void |
loadModel(java.lang.String filePath) |
Matrix |
predict(double[][] Xt)
Predict the dependent variables for test data Xt.
|
Matrix |
predict(Matrix Xt)
Predict the dependent variables for test data Xt.
|
abstract void |
saveModel(java.lang.String filePath) |
abstract void |
train()
Train the regression model.
|
abstract void |
train(Matrix W0)
Train the regression model given initial weight matrix W0.
|
abstract Matrix |
train(Matrix X,
Matrix Y)
Train the regression model given independent variable matrix
X and dependent variable matrix Y.
|
abstract Matrix |
train(Matrix X,
Matrix Y,
Matrix W0)
Train the regression model given independent variable matrix
X, dependent variable matrix Y and the initial weight matrix
W0.
|
public int ny
public int p
public int n
public Matrix X
public Matrix Y
public Matrix W
public double epsilon
public int maxIter
public Regression()
public Regression(double epsilon)
public Regression(int maxIter, double epsilon)
public Regression(Options options)
public void feedData(Matrix X)
X
- data matrix with each row being a data examplepublic void feedData(double[][] data)
data
- an n x d 2D double
array with each
row being a data examplepublic void feedDependentVariables(Matrix Y)
Y
- dependent variable matrix for training with each row being
the dependent variable vector for each data training data
examplepublic void feedDependentVariables(double[][] depVars)
depVars
- an n x c 2D double
arraypublic abstract void train()
public abstract void train(Matrix W0)
W0
- initial weight matrix (p x ny)public abstract Matrix train(Matrix X, Matrix Y)
X
- independent variable matrix (n x p)Y
- dependent variable matrix (n x ny)public abstract Matrix train(Matrix X, Matrix Y, Matrix W0)
X
- independent variable matrix (n x p)Y
- dependent variable matrix (n x ny)W0
- initial weight matrix (p x ny)public Matrix predict(Matrix Xt)
Xt
- test data matrix with each row being a
data example.public Matrix predict(double[][] Xt)
Xt
- an n x d 2D double
array with each
row being a data examplepublic abstract void loadModel(java.lang.String filePath)
public abstract void saveModel(java.lang.String filePath)


Realtime project management software / documentation version 1.0
First of all, Thanks for purchasing this software and for
being a loyal customer.
You are awesome!
You are entitled to get free lifetime updates to this product +
exceptional support from the author directly.
This documentation is to help you regarding each step of installation, configuration and customization procedures. Please go through the documentation carefully to understand how this system is made and how to deploy this properly. Basic Programming and Server administration knowledge is required. Alternatively, you can hire us to set this up for you
Be careful while handling the product. If not deployed properly, the app may break. No support is provided for faulty customization. Also you would be void of support for any future updates if you have customized the core part. We recommend you to keep the functional part of the software untouched, so you may easily install the future upgrades.
Tired of monthly user subscriptions ? Well, POD is a single time purchase software that lets your colleagues collaborate on multiple projects. Product is currently in initial phase. We are planning to incorporate more features, so you can expect monthly releases
Please follow the steps below to setup the product
Pod is built on the Javascript ecosystem. Hence make sure you have the following environment setup.
npm install -g firebase-tools
firebase login
Project ID
.firebaserc
{ "projects": { "default": "paste-here" } }
Sender ID
(For Push Notifications)app/src/firebase-messaging-sw.js
importScripts('https://www.gstatic.com/firebasejs/3.9.0/firebase-app.js'); importScripts('https://www.gstatic.com/firebasejs/3.9.0/firebase-messaging.js'); firebase.initializeApp({ 'messagingSenderId': 'paste-here' }); const messaging = firebase.messaging();
app/src/manifest.json
{ "short_name": "Pod", "name": "Pod | Project Management", "start_url": "/?utm_source=homescreen", "gcm_sender_id": "paste-here" }
Did you know ? Firebase projects are backed by Google Cloud Platform, letting you scale your app to billions of users.
Now as we have the project zip extracted and environment setup, Let us install all the project dependencies
functions
direcotrynpm install
or yarn
cd ..
& cd app
npm install
or yarn
Since POD is a closed system, new registrations aren’t available by default. Only the Administrators have the privelege to provision new users. Hence we need to create the first Administrator. I will now guide you through the steps to create one.
functions
direcotrynpm initialize
You can always add more Administrators using the same process or via the Web application which we are going to setup in the next step
Cloud Functions for Firebase lets you automatically run backend code in response to events triggered by Firebase features and HTTPS requests. Your code is stored in Google's cloud and runs in a managed environment. There's no need to manage and scale your own servers. This section guides to deploy the functions onto your firebase project
key.json
and paste it to functions/keys
sub-directorynpm run deploy
or yarn deploy
After you write and deploy a function, Google's servers begin to manage the function immediately. You can fire the function directly with an HTTP request, or, in the case of background functions, Google's servers will listen for events and run the function when it is triggered. As the load increases or decreases, Google responds by rapidly scaling the number of virtual server instances needed to run your function. Each function runs in isolation, in its own environment with its own configuration.
This section describes techniques for deploying the POD Angular application to firebase hosting. You may also deploy the application to a custom server if you wish, which is not covered in this guide.
// Initialize Firebase var config = { apiKey: "xxxxxxxxxxxxxxxxxxxxxxxx", authDomain: "xxxx-xxxx.firebaseapp.com", databaseURL: "https://xxxx-xxxxx.firebaseio.com", projectId: "xxxx-xxxxx", storageBucket: "xxxx-xxxxx.appspot.com", messagingSenderId: "xxxxxxxxxxxxxxx" };
app/src/environment/environment.ts
and app/src/environment/environment.prod.ts
export const environment = { production: false, firebase: { apiKey: '', authDomain: '', databaseURL: '', projectId: '', storageBucket: '', messagingSenderId: '' }, cloud : { apiUrl : '*API Base URL copied in the previous step | Eg : https://us-central1-xxxx-xxxx.cloudfunctions.net/' } };
npm run deploy
or yarn deploy
You can also find the version history on the sale page.
----------------------------------------------------------------------------------------- Version 1.0.0 - Oct 8th, 2018 ----------------------------------------------------------------------------------------- - initial release
Please contact<EMAIL_ADDRESS>for Installation services


Creating a cell model
I always very much liked the fact that a lot of objectives of big companies and research lab in the AI space started with some hypothesis ➡ model before going to find out how to build something that gets close to it.
Making theories first in biology has been a constant MIA part of the scientific process for this experimentally driven field.
Regarding computational biology, things are better regarding specific models and ideas. But goals themselves have also often lacked a clear description / hypothesis / model.
A few key goals of modern biology / comp. biology is to understand how genotype influences phenotype. or basically, how a cell works.
This has often been defined in terms of what are the available technologies and statistical power achievable with current cost constrains. Known methods recoup GWAS analysis, differential expression analysis, single cell expression atlases, RNAvelocities and other ML models to predict expression of genotype.
Here I am playing with the idea of defining one model (amongst many other) to map genotype to phenotype, with little regards to cost and technology constraints. The goal is to start of discussion on the possible models, complexity requirements and missing technological breakthroughs.
1. the theory
\[Cs_t = fc(Cs_{t-1} | G, E)\]Where:
- \(G\) = Genotype = a current representation of the genotype of the cell (snps, indels, SVs)
- \(E\) = nvironment = ressources, media, cell-cell interactions that the cell can have.
- \(fc()\) = the cell function is actually the component that we are trying to learn and gives how the cell actually works.
- \(Cs\) = Cell-state = cell processes, all the proteins inside the cell and their interactions, all pathway activation levels and current state.
For pathways activation we mean a vector \(Pa\) where \(Pa = [a, PS]\), with:
- \(a\) = activation value \([0-1]\)
- \(PS\) = pathway state = representation of where the pathway is in its activation, what it is doing compared to what it can do.
No open chromatin, no DNA location, no methylation/.., no TF, no epigenomics. This is because \(Epi_t = fp(Cs_1, .... Cs_t)\) ⬅ likely a simplification.
Given that a cell can become epigenomically blank etc… given this fact, \({Epi_t}\) s can be learn as part of the \(fc()\) function in this simplification.
It is true that in good vitro condition \(E ~ E_t\)
But in high cell amounts this is not true and \(E_{t}=\sum_{\forall i} fe(Cs_{i,t}) + E_{t-1}\)
Where \(fe()\) determines how each cell is removing/adding to the environment given its cell state)
Moreover in cell complexes: each cells are actually taking a cell specific \(E_{i,t}\) where \(E_{i,t}=\sum_{\forall j} fe_{j,i}(Cs_j) + E_t\)
Where \(k_{i,j}()\) is a function that determines what the cell j does to cell i given cell \(j\)’s state. where \(k_{i,j}()\) outputs a very sparse matrix as most cells do not interact)
2. the main components
You can see this as a RL problem. with an agent’s state and an environment.
The agent possesses a fixed state (\(G\)), and environment (\(E\)) and a current state (\(Cs_t\))
The goal is then to let the agent learn \(fc()\) given a good measure of \(Cs\), \(E\) and \(G\).
But this is actually the crux of the problem:
- There is no good measures of each.
- There is no good representation of each.
- Reading \(Cs\) often means killing the cell.
Fortunately 2. might be solved as introducing additional components that could unsuperviselly learn representations of each component given good measure of each.
Which actually leads me to the next point: good measures
3. good measures & simplifications given current data sources
We will now separate the measures from the representations by calling:
- \[Er = fre(E)\]
- \[Csr = frc(Cs)\]
- \[Gr = frg(G)\]
Where we now try to learn, \(fc()\), \(fre()\), \(frc()\), \(frg()\) (and could also try to learn: \(fp()\), \(fe()\) and \(k_{i,j}()\) s)
And where:
\[Csr_t = fc(Csr_{t-1} | Gr, Er)\]First, let’s talk about \(E\):
We have defined 3 increasingly complex annotations for \(E\) (we will call each \(E1\), \(E2\), \(E3\)).
E1 could be computed by having the cell measured from a virtually steady state in vitro environment. creating a representation Er of the different environments the cells have been analysed under seems pretty trivial.
We could be feeding it some kind of a matrix of concentration of different elements and how these.
For more complex \(Es\), there is challenges. \(E2\) requires you to learn first \(fc()\) but also \(fe()\). \(fe()\) is in a way what people call the secretome and technics have emerged to measure it. For \(E3\), one would need to also learn \(k_{i,j}()\). This seems very complex as a lot remains to be learnt in cell-cell interactions. Spatial-transcriptomic techniques however are starting to help in figuring out \(k_{i,j}()\).
Then \(G\):
To get a good \(Gr\) one would want to use available sequencing data (especially long read for them nice SVs) in order to define a personalized reference genome that can be fed in complex models such as enformer or basset, …, to -instead of making predictions on binding, etc- learn to create a small representation that let them predict the next bp in the genomic sequence.
There is a lot to do here. how do we best represent this personalized genome? what is the set of possible genomes?
Using annotations based on epigenomics and prior knownledge,might help in defining this representation.
Then there is \(Cs\):
For this there is many venues: ….
To wrap it all up a future direction is evidently to learn all functions as one end to end AI model. This would also for much better transfer learning, missing data etc… However it would require a astronomical amount data, mostly paired across modalities.
4. remarks
Theses processes are not continuous in time and do not work in a stepwise manner.
Diffusion coefficients, stretchings and other chemical / mechanical processes might no be well learned in this framework.
5. conclusion
By having this model, we have defined a set of directions to learn a genotype to phenotype mapping.
This could be hinting at set of experiment to gather as many possible measurements to learn each functions.
From getting a cell line and a stem cell population and changing the in vitro media widely while measure the response via single cell RNAseq or super resolution microscopy.


Daily Cycle of Water Conservation Terms for 13 RCMs that Participated in PIRCS 1b
Last Updated on 11/2/01
By Chris Anderson
Email:
candersn@iastate.edu


{% if glacier %}
You have selected a range of data that falls outside of your device's data retention policy, so we are unable to satisfy your request right away. Don't worry! We still have your data, but it has been archived. Archive retrieval can take up to 4 hours. When this process completes, we will email you your data automatically. No further action is required on your part.Why does it take so long? Amazon charges a hefty sum for keeping data within close reach. By archiving some of your data to the Amazon Glacier, we are able to keep your data at a low cost to us.
{% else %}
Something bad happened :(
{% endif %}


LML Reader
I'm a line of text. And you can place enters. Or multiple enters, I don't care. first-node { I'm text content part of the node named 'first-node'. nested { I'm a child node part of 'first-node' named 'nested'. } nested { I'm the second child node part of 'first-node' named 'nested'. } No the only type is string, you must parse the following nodes yourself to their appropriate type. boolean { true } number { 1234 } If you want to write curly brackets in your text content then write them like so: {{ and }} } And that's about it. See the parse results in the console of your browser.


When I'm working, yes I know I'm gonna be I'm gonna be the man who's working hard for you And when the money, comes in for the work I do I'll pass almost every penny on to you When I come home (when I come home) well I know I'm gonna be I'm gonna be the man who comes back home to you And if I grow-old (when I grow-old) well I know I'm gonna be I'm gonna be the man who's growing old with you
But I would walk 500 miles And I would walk 500 more Just to be the man who walks a thousand miles To fall down at your door


2020
Home
Disasters
Miracles
Review
Contacts
The 2020 Review
Twitter
I tweet random things here and occasionally some of my art.
gMail
I can't really link you to my gMail, so here's a copy instead
<EMAIL_ADDRESS>Facebook
This is my Facebook. That's all I'm going to say.
Tester Reviews
"It's ナイス! ナイス!"
- Questionable_Reptile-IAN 2020
"Ye it's good. 8/10"
- Roy Anthony 2020
"8.8/10 good job dude"
- Leigh 2021
"This is poggers dude, really based."
- Local Crackhead 2021


{% extends "base.html" %} {% block title %}Payment Confirmn{% endblock %} {% block content %} Successful Payment Payment has been made. Home


Out with to dinner your friends? Having trouble figuring out how to split the bill? Now, you will never have to worry again with Split The Bill. Split The Bill app is designed to easily manage that bill. Especially when that pesky waitress 'forgets' to write down sepereate checks.
With this calculator you can easily view how much each person owes! No more disputes over the who owes what anymore! Added a drink after you ordered? No problem! You can adjust the bill through the app! Let us do the math for you! Forgot your wallet? No problems! You can track who of the money your friends loan you!
With this app, you can create an account! Add and remove your friends with at the snap of yout fingers. With this easy to manage app you'll never have to worry about who owes what! Check and see what the bill is in less than seconds! Friends can check and see what each other owes.
Get rid of that stack of reciepts! All expenses are backed up and synced so you'll be able to see in less than seconds what the totals are. You'll never need to keep up with the reciepts ever again with this app! This app will keep track of the bill for you, so you can keep on having a great night out with whoever you choose! Go have fun!


| native_encode {xfun} | R Documentation |
Apply enc2native()
to the character vector, and check if
enc2utf8()
can convert it back without a loss. If it does, return
enc2native(x)
, otherwise return the original vector with a warning.
native_encode(x, windows_only = is_windows())
x |
A character vector. |
windows_only |
Whether to make the attempt on Windows only. On Unix, characters are typically encoded in the native encoding (UTF-8), so there is no need to do the conversion. |
library(xfun) s = intToUtf8(c(20320, 22909)) Encoding(s) s2 = native_encode(s) Encoding(s2)


Questions - Sometimes it's a matter of context
November, 16th of 2014 by Jorge Rubio C.
This week's topic is questions, what defines a good question? How do you make sure that your question is going to be useful and it will get you to the answer that you're looking for? I'll talk about my experience with questions and see if we can draw a few conclusions from there.
Based on my experience I would say that one of the most important elements to be aware of when asking a question is the context. Context can define how successful a question will be in more than one level. The context in which you ask a question and how you contextualize your question before asking are key. You have to make sure you're asking the correct audience and you also have to make sure to introduce the topic so that people know what you're talking about.
In my experience I have had this problem many times. I will be thinking about something and without introducing the subject to other people I ask them a question that surprises them. What normally happens is that I will have to explain where my question came from and just after that I'll get an answer.
Once you have the context for your question it will be much easier for people to answer it. A question with good content but in the wrong context will probably be unsuccessful.


TOP
Enzymes that regulate the topology of DNA by actions such as breaking, relaxing, passing, and rejoining strands of DNA in cells. These enzymes are important components of the DNA replication system. They are classified by their substrate specificities. DNA TOPOISOMERASE I enzymes act on a single strand of DNA. DNA TOPOISOMERASE II enzymes act on double strands of DNA.
(mesh:D026942)
Cross-references
Synonyms
| Synonym |
Reference |
Specificity |
| topoisomerase |
|
Exact
|
Incoming Relations
Outgoing Relations
None available.


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||||||||||||||||||||||
Get Up and Running with Windows Workflow Foundation (WF) 4.0 by Brian Noyes WF 4.0 is just around the corner, and whether you have already adopted WF in previous versions, or are brand new to WF, you have a whole new stack to learn. In this session, you’ll see what the capabilities of WF 4.0 are, how to create workflows, run them, and leverage the powerful capabilities of the WF 4.0 runtime. You'll get a quick summary of what is new and different (which is almost everything compared to 3.5), but mostly you will get a good, fast paced, and demo-heavy introduction to developing applications with WF 4.0. Build Composite WPF and Silverlight Applications with Prism by Brian Noyes When you build a large UI application, you can't afford to just put all your logic in the code behind of your windows. You need to build the application using well-proven UI patterns and build it in a loosely coupled, testable, and maintainable way. That is exactly what the Composite Application Guidance for WPF and Silverlight (aka Prism) helps you to do. This session will give you a quick but thorough introduction to Prism, and the four features it helps you implement in your applications: modularity, UI composition, commanding, and pub-sub events. Along the way, you'll also get exposed to the Model-View-ViewModel pattern and see it in action in the demos. The focus will primarily be on WPF, but everything shown also works for Silverlight as well. The small differences between using Prism for WPF and Silverlight will be pointed out in the discussion. To see more details and RSVP, please visit our facebook .NET group or our LinkedIn .NET group.
|
Canberra .NET User Group -
|
10 days to go!
Canberra .NET Developers User Group
Lunch: 12:30pm - 1:30pm |
Managing Schema Updates (smack down of Red-gate vs Visual Studio’s Data Dude) by Peter Gfader
Best practices, SQL Compare, SQL Packager, Data Dude 2010 and SQL Deploy.
Nowadays everything (except Exchange of course) runs off a database. Why do so many places have a weak schema deployment strategy? In this session learn the best ways to move from one version to the next, using tools like RedGate SQL Compare, RedGate SQL Packager, Visual Studio 2010 Database Professional (aka Data Dude) and SSW SQL Deploy.
To see more details and RSVP, please visit our facebook .NET group or our LinkedIn .NET group.
51 days to go!
SharePoint 101 Workshop |
Workshop Objective
This workshop will provide the attendees with:
Workshop Outline
Automate your Code Reviews with SSW Code Auditor
Are you looking to eradicate bugs and ensure consistency? SSW Code Auditor is a code analysis tool that allows developers to take control of your code, ensuring large, complex source code can be simplified, cleaned and maintained. The built-in rules focus on the most popular .NET languages (C#, VB.NET) for both Windows Forms and ASP.NET; however, the flexibility of SSW Code Auditor allows the developer to add their own rules to target any language in any text file.
If you would like to advertise your product or service with SSW or would like to find out more about various advertising opportunities, please email your enquiry to 736f7068696562656c6c65407373772e636f6d2e6175 or call: +61 2 9953 3000.
October 2009 |
||
Tech Breakfast
Come and join us as we learn how the largest public SharePoint
site in Australia (www.WorleyParsons.com) got up and
running. |
||
EmploymentDue to the tremendous growth that our business has experienced over the last few months, we are seeking enthusiastic people to join the SSW team. Our Company is based in Neutral Bay which is one of the most elegant and scenic areas of Sydney. SSW is an Australian owned progressive consulting firm specialising in building, implementing and maintaining Microsoft .NET software applications. We are currently strongly looking for a SharePoint Developer. We are also currently looking for:
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| Copyright � SSW 1990-2009. All Rights Reserved. | Proudly developed by SSW Sydney Web Design | |||||
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The purpose of this tutorial is to a) demonstrate how to get a list of articles from the trending list on the blockchain, and b) fetch the contents of the selected post to display its title and body and c) fetch comments of the post and display them with author, body, created time and number of votes.
We will also explain the most commonly used fields from the response object as well as parse body of each comment.
Intro
Each post might have comments/replies that is interesting and contributes to the topic and discussion. Steem offers out of box API for pulling replies for particular post with get_content_replies. We will fetch replies and list them in simple user interface.
As mentioned in our previous tutorials we can fetch various lists of posts with different filters. Here, we are reusing some parts of that tutorial to list the top 5 trending posts. And we parse content of selected post to display few fields in a meaningful way.
2. Post comments
On selection of a particular post from the list, openPost function is fired as it is explained in Get Post Details tutorial. This function will call the get_content function to fetch content of the post. Right after root post is displayed properly, we use get_content_replies function to fetch comments made on that post, function requires author and permlink of the root post to fetch its comments.
We iterate each comment and format them properly in comments array. As mentioned in Get Post Details tutorial, we use remarkable library to parse the body of each comment into a readable format. Author, comment body, created time and number of votes on that comment is displayed with simple user interface.
The “go back” function simply hides and shows the post list.
3. Query result
The result is returned from the post content as a JSON object with the following properties:
[{"id":37338948,"author":"demo","permlink":"re-join-team-steemit-at-tokenfest-20180500t181413163z","category":"steemit","parent_author":"steemit","parent_permlink":"join-team-steemit-at-tokenfest","title":"","body":"Thank you for sharing","json_metadata":"{\"tags\":[\"steemit\"],\"app\":\"steemit/0.1\",\"format\":\"markdown\"}","last_update":"2018-03-07T23:22:54","created":"2018-05-00T20:56:36","active":"2018-05-06T01:40:21","last_payout":"1970-01-01T00:00:00","depth":1,"children":1,"net_rshares":"11453442114933","abs_rshares":"11454054795840","vote_rshares":"11454054795840","children_abs_rshares":"13568695606090","cashout_time":"2018-05-07T20:56:36","max_cashout_time":"1969-12-31T23:59:59","total_vote_weight":3462435,"reward_weight":10000,"total_payout_value":"0.000 SBD","curator_payout_value":"0.000 SBD","author_rewards":0,"net_votes":77,"root_comment":37338948,"max_accepted_payout":"0.000 SBD","percent_steem_dollars":10000,"allow_replies":true,"allow_votes":true,"allow_curation_rewards":true,"beneficiaries":[],"url":"/steemit/@steemitblog/join-team-steemit-at-tokenfest#@demo/re-join-team-steemit-at-tokenfest-20180500t181413163z","root_title":"Join Team Steemit at TokenFest!","pending_payout_value":"0.436 SBD","total_pending_payout_value":"0.000 STEEM","active_votes":[{"voter":"steemitblog","weight":0,"rshares":"1870813909383","percent":10000,"reputation":"128210130644387","time":"2018-03-07T20:56:36"},{"voter":"kevinwong","weight":526653,"rshares":"2208942520687","percent":5000,"reputation":"374133832002581","time":"2018-03-08T04:27:00"}],"replies":[],"author_reputation":"128210130644387","promoted":"0.000 SBD","body_length":0,"reblogged_by":[]},{"id":37338987,"etc.":"etc"}]
From this result, you have access to comments made on selected post.
JS: Get Post Comments
By the end of this tutorial you would know how to get comments made by others on any post.
Full, runnable src of Get Post Comments can be downloaded as part of the JS tutorials repository.
The purpose of this tutorial is to a) demonstrate how to get a list of articles from the trending list on the blockchain, and b) fetch the contents of the selected post to display its title and body and c) fetch comments of the post and display them with author, body, created time and number of votes.
We will also explain the most commonly used fields from the response object as well as parse body of each comment.
Intro
Each post might have comments/replies that is interesting and contributes to the topic and discussion. Steem offers out of box API for pulling replies for particular post with
get_content_replies
. We will fetch replies and list them in simple user interface.Steps
1. Fetching post
As mentioned in our previous tutorials we can fetch various lists of posts with different filters. Here, we are reusing some parts of that tutorial to list the top 5 trending posts. And we parse content of selected post to display few fields in a meaningful way.
2. Post comments
On selection of a particular post from the list,
openPost
function is fired as it is explained in Get Post Details tutorial. This function will call theget_content
function to fetch content of the post. Right after root post is displayed properly, we useget_content_replies
function to fetch comments made on that post, function requires author and permlink of the root post to fetch its comments.We iterate each comment and format them properly in
comments
array. As mentioned in Get Post Details tutorial, we useremarkable
library to parse the body of each comment into a readable format. Author, comment body, created time and number of votes on that comment is displayed with simple user interface.The “go back” function simply hides and shows the post list.
3. Query result
The result is returned from the post content as a
JSON
object with the following properties:From this result, you have access to comments made on selected post.
To Run the tutorial
cd tutorials/07_get_post_comments
npm i
npm run dev-server
ornpm run start


{% extends 'todo/base.html' %} {% block title%} View Todo {% endblock%} {% block dropdownview %} View Remaining View Completed {% endblock%} {% block content%}
{{ message }}


RPA - UiPath
UiPath is on the forefront of Robotic Process Automation (RPA). Learn and automate routine jobs to
create software robots or artificial intelligence (AI) workers.
Machine Learning
Enable computer systems to progressively improve their performance on a specific task from data,
without being explicitly programmed
Chatbot
Learn to convincingly simulate a human conversation thereby creating mini robots who could handle
an entire chat support in an organisation.


Ingredients
| Ingredient | Amount |
| egg noodles | 1 lb. |
| sugar | 1/2 cup |
| eggs | 3 |
| cinnamon | 1 tsp |
| vanilla | 1 tsp |
| salt | 1/8 tsp |
| raisins | 1/2 cup |
| optional: butter | 3 tbsp |
Procedure
- Cook noodles according to package
- Beat eggs, gradually add the sugar until thick and light in color
- Add the rest of the ingredients (except for noodles), mixing between items
- Fold dough into the noodles
- Pour into 2 8"x8" or 9"x9" greased pans
- Bake for 45 minutes at 350F
Copyright ©, 2005, Steve Goldhaber


publisher (university)
Watcher (student) - 1
Watcher (student) - 2
Watcher (student) - 3
Watcher (student) - 4


BANKA
Home
Accounts
Logout
Daniel Imodoye David
ACCOUNT NUMBER:<PHONE_NUMBER>
Credit / Debit User
credit/debit
CREDIT ACCOUNT
DEBIT ACCOUNT
Enter amount


This Is a front end exclusive project, pulling from 3 different API's. This website allows you to search your favorite football team and get the weather, stadium information, and most recent odds information all in one place. Here is the Github Repository and the Live Website.


Shiny module for taking free-form notes and displaying them in a customizable UI.
The shinyNotes
package provides an easy way to
incorporate free-form note taking or discussion boards into your shiny
application. The package includes a shiny module,
shinynotes
, that can be included in any shiny application
to create a panel containing searchable, editable text broken down by
section headers of your choice.
Once released, you may install the stable version from CRAN, or the
development version using devtools
:
# install from CRAN
install.packages('shinyNotes')
# or the development version, via devtools
devtools::install_github('danielkovtun/shinyNotes')
To start off, try running a demo Shiny application included with the package by running:
library(shinyNotes)
shinyNotes::runExample('demo')
Notes can be directly modified by clicking the edit button and using
the generated textAreaInput
fields. To delete a note,
simply remove all text from a textAreaInput
and click
save.
You can add a new note to a section by clicking the “plus” button and
selecting an existing category to add a note to. To add a new section
header, fill in the inputs provided in the modalDialog
.
See the full documentation at https://danielkovtun.github.io/shinyNotes/.


Data can be stored and accessed in many ways
Element
An item in the array
- Array elements are contiguous in memory
Size of the Array
the number of elements it will hold
Subscripts or Indexes
Position number of an item in an array
Subscripts are always a sequence of integers
The array reduces the number of statements needed
Sometimes you must search through an entire array to find a value –called a linear search
Step 1
Using the above image - create an array that holds each of the items above.
Step 2
Using a looping structure, output the items in list
Step 3
Use a decision structure to determine if the value "Fish" is within the array. If so, output "Fish Found".
Contains two dimensions: height and width. The location of an element within the array depends on two factors.
int[][] RENT_BY_FLOOR_AND_BDRMS = new int [5][3];
RENT_BY_FLOOR_AND_BDRMS[0][0] = 350;
System.out.print(RENT_BY_FLOOR_AND_BDRMS[0][0]);
Which of the following options is not the correct way to declare an array and will display a syntax error?
String [] RESTAURANTS = {"Portillos", "Giordano's", "Grand Lux Cafe"};
Using the code above, Which option below would change the value Giordano's
to Gino's East Pizza
?
final String [] BRANDS = {"Adidas", "IKEA", "Puma", "Sony", "Nokia"};
for(int x = 2; x < BRANDS.length; x++){
System.out.print(BRANDS[x] + " ");
}
Using the code above, What will output to the console?
String [][] RESTAURANTS = {
{"Portillos", "Giordanos", "Grand Lux Cafe"},
{"Five Guys","Lou Malnati's", "The Purple Pig" },
{"Shake Shack", "Beggars Pizza", "Big Bowl" }
};
Using the code above, Which option below would output the text The Purple Pig
?
String [][] RESTAURANTS = {
{"Portillos", "Giordanos", "Grand Lux Cafe"},
{"Five Guys","Lou Malnati's", "The Purple Pig" },
{"Shake Shack", "Beggars Pizza", "Big Bowl" }
};
RESTAURANTS[2][0+1] = "Connie's Pizza";
System.out.println(RESTAURANTS[2][0+1]);
Using the code above, Which value in the array was changed?
Collections enable you to maintain groups of objects. Unlike arrays, collections can include more advanced functionality.
A generic class is built around whatever type, or types, you supply during instantiation, enabling you to strongly type an object with hardly any effort at all.
ArrayList<T>
Represents a list of objects that can be accessed by index. Provides methods to search, sort, and modify lists.
LinkedList<T>
A collection which can contain many objects of the same type, just like the ArrayList
HashMap<TKey, TValue>
Represents items in "key/value" pairs, and you can access them by an index of another type
HashSet<T>
a collection of items where every item is unique, and it is found in the java.util package
import java.util.ArrayList;
public class Main
{
public static void main(String[] args) {
//Two dimensional array
double[][] price = {
{350, 390, 435},
{400, 440, 480},
{475, 530, 575}
};
String[][] selection = {
{"Snickers", "Twix", "Mars"},
{"Skittles", "Starburst", "Sour Patch Kids"},
{"Big Red", "Winter fresh", "Trident"}
};
ArrayList<Candy> candyList = new ArrayList<Candy>();
//Iterate through the multi-Array and populate the list
for (var i = 0; i < 3; i++)
{
for (var x = 0; x < 3; x++)
{
Candy aCandy = new Candy(selection[i][x], price[i][x]);
candyList.add(aCandy);
System.out.println(selection[i][x] + " goes for $" + price[i][x]);
}
}
//Decrement through the list and find the object with value "Snickers" for the name property
for(var i = candyList.size() -1; i >= 0; i--)
{
if (candyList.get(i).getName().contains("Snickers"))
{
candyList.remove(i);
}
}
//Output the list using lambda Expression
candyList.forEach(x -> System.out.println(x));
}
}
public class Candy
{
private String name;
private double price;
public String getName(){ return name;}
public double getPrice(){return price;}
public Candy(String name, double price)
{
this.name = name;
this.price = price;
}
public String toString()
{
return "The name of the candy is " + name + " the price for this candy " + price;
}
}
import java.util.ArrayList;
// Import the HashSet class
import java.util.HashSet;
public class Main
{
public static void main(String[] args) {
final String [] BRANDS = {"Adidas", "IKEA", "Puma", "Sony", "Puma", "IKEA"};
HashSet<String> brandList = new HashSet<String>();
for(int x = 0; x < BRANDS.length; x++){
brandList.add(BRANDS[x]);
}
brandList.forEach(x -> System.out.print(x + "\t"));
System.out.println("List Size: " + brandList.size());
}
}
What items do the list hold?
Step 1
Create a program that allows you to 1) continually enter the name and price of a candy 2) Create a candy object 3) Add candy object to ArrayList
Step 2
Create a method that allows you to 1) select a candy by name and remove a Candy object from the ArrayList
Step 3
Output a list of all candy that remain on the list and display the total number or items list contains.
final String [] BRANDS = {"Adidas", "IKEA", "Puma", "Sony", "Nokia"};
ArrayList<String> brandList = new ArrayList<String>();
for(int x = 0; x < BRANDS.length; x++){
brandList.add(BRANDS[x]);
}
Assuming the code functions properly, Which of the following options is not permissible and most likely result in an error?
final String [] BRANDS = {"Adidas", "IKEA", "Puma", "Sony", "Nokia"};
ArrayList<String> brandList = new ArrayList<String>();
for(int x = 0; x < BRANDS.length; x++){
brandList.add(BRANDS[x]);
}
Which of the following collections is distinctly different as in it would not work if the collection name was replaced in the above code?
final String [] BRANDS = {"Adidas", "IKEA", "Puma", "Sony", "Nokia"};
ArrayList<String> brandList = new ArrayList<String>();
for(int x = 0; x < BRANDS.length; x++){
brandList.add(BRANDS[x]);
}
Which statement below is the correct way to retrieve the first element in the brandList ArrayList??
HashMap<String, Integer> exMap = new HashMap<String, Integer>();
exMap.put("Tom", 14);
exMap.put("John", 26);
exMap.put("Mary", 13);
exMap.put("Hans", 90);
exMap.put("Franz", 88);
Which of the following collections is distinctly different as in it would not work if the collection name was replaced in the above code?
HashMap<String, Integer> exMap = new HashMap<String, Integer>();
LinkedList<Double> accelerometerValues = new LinkedList<Double>();
accelerometerValues.add(9.8);
accelerometerValues.add(10.2);
accelerometerValues.add(15.4);
Which of the statements remove the value 9.8 from the list.


Strike(this.Pose) is a fun li'l demo that illustrates the use of Microsoft Cognitive Services Face and Emotion APIs in combination with a webcam. This demo was made in a flash by someone who works at Microsoft who happens to think Cognitive Services is pretty cool. However, if you're interested in official Microsoft code samples for Cognitive Services, you can find them here.
Anyway, here's the fine print: Microsoft will receive certain data from Strike(this.Pose) to provide and improve its products. To report abuse of the Microsoft Cognitive Services to Microsoft, please visit the Microsoft Cognitive Services website at https://www.microsoft.com/cognitive-services, and use the "Report Abuse" link at the bottom of the page. For more information refer to the Microsoft Privacy Statement here: https://go.microsoft.com/fwlink/?LinkId=521839.
We good? Cool.


Pizza Parlor
Enter name
Select Pizza Size:
Small
Medium
Large
Select Topping:
Pepperoni
Chicken
Pineapple
Submit


Click/Tap on the field to mark the position where the robot was setup to start the match
Draw the approximate autonomous route driven by this robot
Pickup
Shoot


Compatible implementation of abc2midi, written in Lua, using the ABCLua library.
Transforms ABC into playable MIDI.
See abc2midi documentation for description of the operation of these features.
beat
beatmod
beatstring
ptstress
stressmodel
transpose
rtranspose
gchord
chordname
gchordon
gchordoff
control
pitchbend
chordattack
randomchordattack
drum
drumon
drumoff
drumbars
drummap
drone
droneon
droneoff
^/4C
temperamentlinear
temperamentnormal
propagate-accidentals
program
channel
trim
gracedivider
(but not grace
)snt
for tuningnobarlines
barlines
(use propagate-accidentals
instead)gracedivider 0
turns off grace notesgenerate_midi myfile.abc
creates myfile.mid
drum
maps each note/velocity to each hit in the sequence, not each d
character. So %%MIDI drum ddz 40 40 100 100
and %%MIDI drum d2z 40 40 100
are equivalent.grace
is not supported. Use gracedivider
ratio
is not supported, but ABCLua's %%set-broken-ratio
has the same effectstressmodel
.Licensened under the BSD 3 clause license.
* Copyright (c) 2013, John Williamson
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of the <organization> nor the
* names of its contributors may be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY <copyright holder> ``AS IS'' AND ANY
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL <copyright holder> BE LIABLE FOR ANY
* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.**


--- layout: page title: About header-img: "img/about-bg.png" ---
Elina has over 10 years of experience in technical, business, proposal, and academic writing. Her aim is to guide individuals and organizations in fulfilling the goal of standing out from the rest of the world via effective delivery of critical content.


5 day riders - From Nachsholim we will be transported by bus to Mini Israel (a theme park - Israel in miniature) from where the day's ride begins!
We begin our ascent up to Jerusalem along the "Burma Road" which was paved in 1948 as a makeshift bypass road between the area surrounding Kibbutz Hulda and Jerusalem. Riding through the pine forests planted by Keren Kayemet LeYisrael and through natural Mediterranean thicket we will begin our climb up to the Judean Hills and Jerusalem Mountains. We will cross the Carmila Ravine and climb up to Mt. Carmila where there is a wonderful lookout point! After riding along the winding Kisalon Gorge we will descend into the gorge and climb back up to Mish Hill.
After riding through Wadi Tayasim we will ascend Tel Tzuba (archeological hill) and continue through the orchards of Kibbutz Tzuba until we reach the Sataf Springs. We will ride through Mt. Eitan and descent into the Sorek Ravine. At the Kerem Junction we will join the On-road WOL riders for the last part of the Ride! ALYN Hospital is just a short climb away!


Welcome to My Blog
Conversations with the Ghost in the Machine Is a blog that i started as part of my learning path in Dev Bootcamp. In it you will find articles about web development and the insights that i gain during this weeks of deep learning. i try not to go to deep into techinical descriptios about technologies, but more about their potential and holistic use.
Its all about Team Work and confidence:
Pairing it’s a big deal in DBC, so being comfortable with it it’s a most to have a successful experience with the program. I strongly believe that working by pairs in a challenge it’s extremely beneficial when some criteria its meet, that means that in some cases bad experiences are going to arise.
To have a successful pairing session is necessary that both peers feel comfortable working with each other that means that you don’t feel shy and that you have the necessary confidence to speak freely to your partner. This may be easy for extrovert persons, that immediately feel in resonance with whoever they work with, but if you throw two introvert individuals in a session that have never met before I guaranteed that some awkwardness its going to arise and that gets exponentially worse by Google hangouts, well hanging.
This doesn’t mean that introverts are doom, it just means that during Phase 0 they are going to struggle a lit bit more during paring sessions, but once they get to know their peers better and start to see them not as strangers but as friends and teammates, everything changes and pairing sessions become a wonderful experience. That’s why I believe that paring during phase 1 would be a lot better that what it is in phase 0. Pairing face to face and with someone that you know well and that you have confidence with will make coding a more fun and rewarding experience.
For me pairing in this moment it’s a nerve inducing experience at first but as I get to know more and more people from the cohort and how nice everyone is, I get more comfortable with it and definitely enjoy my paring session a lot more. The most rewarding part about paring is seeing how different another person sees a problem and how they approach it, this gives you a lot of insight of how coding it’s a creative activity, and also gives you the humility to learn from others that have different perspectives and knowledge.
 For me it just doesn’t feel well unless I have a LOT of confidence with the person I giving feedback to, what I mean its that if I just have meet another person, that in this moment it’s a complete stranger to me, what entitles me to give he or she feedback on a subject that I’m not an expert? It just doesn’t feel right, I have no moral background to make critiques to this other individual even if they are constructive as I’m also a beginner so by definition I don’t know exactly what is constructive or not. So at this moment I don’t feel comfortable giving constructive feedback. I do find feedback from instructors or peers that are more experience than me to be very helpful; this is speaking just on the technical side of things.
As for giving feedback on cultural aspects, my policy is that unless my peer is clearly being rude, not cooperative or in general a really disgusting person (Nobody in DBC complies with this criteria you are all awesome), My feedback will always be positive and kind, we are all together on this journey and learning from each other, so the only thing that I can do is to encourage you to keep going and making awesome work, I wont pick on minor things I feel its not necessary and it just gets on the way.
As for the feedback that I have receive it has been 99% positive and have encourage me to work harder on the program and keep pushing my learning.
To conclude I really believe in the power of working in pairs, but I also thing that for it to really reach its full potential it takes a time to know your peers and really feel comfortable working with them, I don’t expect that the first paring session with someone new to be a blast but I do expect that my third or forth session with the same person session will be amazing.
Home


1. Plant parasitic on stem of woody host plant ..... VISCACEAE {G6,8,9,11,12,14}
1' Plant free-living, rooted in ground
2. Trunk unbranched, generally stout, covered with persistent woody leaf bases; leaves 4–7 m, pinnately compound ..... ARECACEAE (Phoenix) {G9,10}
2' Trunk(s) generally branched, stout or slender, generally not covered with persistent leaf bases; leaves generally smaller, simple or compound
3. Leaves stiff and sword-like, 0.6–2 m, base much expanded, white, fleshy; inflorescence a large panicle ..... RUSCACEAE (Nolina) {G6,8,9,16}
3' Leaves not sword-like, mostly smaller, base not much expanded, white, and fleshy; inflorescences various
4. Leaves opposite or whorled
5. Leaves compound
6. Leaves palmate ..... SAPINDACEAE
6' Leaves pinnate
7. Woody vine; sepals generally 4, conspicuous, petal-like ..... RANUNCULACEAE (Clematis) {G9}
7' Tree or large shrub; sepals generally 5 or number difficult to determine, very small
8. Flowers sessile or borne on short, stout pedicels ..... OLEACEAE (Fraxinus) {G9,12,16}
8' Flowers borne on elongated, thread-like pedicels ..... SAPINDACEAE (Acer negundo) {G9}
5' Leaves simple
9. Leaf toothed or lobed
10. Leaf palmately veined and lobed ..... SAPINDACEAE (Acer) {G12,23}
10' Leaf pinnately veined and toothed
11. Petals 0; stamens 4–10 ..... PICRODENDRACEAE (4) {G9,12}
11' Petals 5, united in salverform corolla; stamens 4, epipetalous ..... SCROPHULARIACEAE (Buddleja) (2) {G9,19}
9' Leaf entire (strongly wavy in some Garrya species)
12. Inflorescence a catkin
13. Leaf blades well developed; catkins elongate, pendent ..... GARRYACEAE {G9,11}
13' Leaves scale-, awl-, or needle-like; "catkins" short, not pendent — actually catkin-like pollen cone of gymnosperm
14. Internodes very short; stem concealed by persistent, overlapping, green, scale-, awl-, or needle-like leaves; pollen sacs sessile beneath scales of small cone ..... CUPRESSACEAE (2) {G4}
14' Internodes long; stem green, bearing dry, scale-like, often early-deciduous leaves; pollen sacs borne on filament-like stalk ..... EPHEDRACEAE {G4,9}
12' Inflorescence not a catkin
15. Leaves whorled
16. Leaf with abaxial groove ..... ERICACEAE (Empetrum) (2) {G9,12,16}
16' Leaf flat or with midvein raised on abaxial face
17. Stamens 4; weak-stemmed shrub; stems 4-angled when young ..... RUBIACEAE (Galium) {G6,8,9,12}
17' Stamens 5–10; stiff shrub; stems round ..... PICRODENDRACEAE (4) {G9,12}
15' Leaves opposite
18. Herbage covered with silvery scales ..... ELAEAGNACEAE (Shepherdia) {G9,12}
18' Herbage glabrous or variously hairy
19. Petals fused proximally; stamens fused to corolla
20. Leaves glossy ..... RUBIACEAE ([Coprosma]) {G9}
20' Leaves densely hairy ..... SCROPHULARIACEAE (Buddleja) (2) {G9,19}
19' Petals free or 0; stamens free from corolla
21. Leaves thick, leathery, evergreen; flowers in peduncled, head-like clusters; sepals well developed ..... SIMMONDSIACEAE {G9,12}
21' Leaves thin, deciduous; flowers in sessile axillary clusters or short-peduncled racemes; sepals very small
22. Bark of young stems ± red; flowers pedicelled in short axillary racemes; stamens 5–10 ..... PICRODENDRACEAE (4) {G9,12}
22' Bark of young stems gray; flowers ± sessile in axillary clusters; stamens 1–4 ..... OLEACEAE (Forestiera) {G9,12}
4' Leaves alternate (leaf often opposite a tendril or inflorescence in Vitaceae)
23. Tendrils present; plant a vine; inflorescence of umbels or a panicle of head- or umbel-like clusters
24. Tendrils each opposite a leaf; calyx 0 or 5-lobed; petals 5, adherent at tips, ± yellow ..... VITACEAE (Vitis) {G9,12,23}
24' Tendrils 2+ near petiole base; perianth parts 6 in 2 whorls of 3, petal-like, free, white to ± green or ± yellow ..... SMILACACEAE {G6,8,9,16}
23' Tendrils 0; plant a shrub or tree, rarely a vine; inflorescence various
25. Inflorescence a catkin or spike
26. Leaves compound
27. Leaves 1- and 2-pinnate, leaflets 20–28 on 1-pinnate leaves ..... FABACEAE (Gleditsia) {G9}
27' Leaves 1-pinnate, leaflets 5–21
28. Plant evergreen — inflorescence resembles catkin when young, but is actually a branched panicle ..... ANACARDIACEAE (Pistacia) {G11,12}
28' Plant deciduous ..... JUGLANDACEAE {G9,11}
26' Leaves simple
29. Shrubs of ± saline desert habitats; leaves sometimes thick, ± fleshy; spikes erect or very short and axillary
30. Leaf blades generally flat; perianth present though generally small and inconspicuous; bracts 0 or not peltate ..... CHENOPODIACEAE (2) {G6,8,9,11,15}
30' Leaf blades generally ± cylindric; perianth 0; bracts peltate ..... SARCOBATACEAE {G9,11}
29' Shrubs or trees, generally of non-saline habitats; leaves mostly thinner, not fleshy; spikes or catkins erect to pendent
31. Leaves scale-, awl- or needle-like; plants evergreen — catkin-like structure actually pollen cone of a gymnosperm
32. Pollen sacs borne on filament-like stalks ..... TAXACEAE {G4}
32' Pollen sacs sessile on abaxial side of scale-like structures
33. Scales with 2 pollen sacs; needle-like leaves 1–30 cm; bark generally separating in flakes or plates ..... PINACEAE {G4}
33' Scales with several pollen sacs; needle-like leaves (if present) 1–2.5 cm; bark thick, fibrous, persistent ..... CUPRESSACEAE (2) {G4}
31' Leaves with well developed blades; plants evergreen or deciduous
34. Bractlets of inflorescence well developed and readily visible at time of flower
35. Catkins pendent
36. Catkin-bractlets fringe-margined, early-deciduous; stamens 8–60; trees ..... SALICACEAE (Populus)
36' Catkin-bractlets entire or appearing 3-lobed, persistent; stamens 1–10; shrubs or trees ..... BETULACEAE {G9,11}
35' Catkins ± stiff, ± erect to spreading but generally not pendent
37. Low, brittle shrubs; leaves thin, crenate ..... EUPHORBIACEAE (Acalypha) {G9,11}
37' Shrubs or trees, not brittle; leaves entire or toothed — catkin bracts sometimes early-deciduous ..... SALICACEAE (Salix)
34' Bractlets of inflorescence 0 or very inconspicuous at time of flower
38. Evergreen shrubs or trees
39. Main veins of leaf parallel or nearly so — 2 perianth whorls actually present but sepals small and easily overlooked ..... FABACEAE (Acacia) (2)
39' Main veins of leaf clearly pinnate
40. Leaves glabrous or with stellate hairs, not gland-dotted; sepals present; generally of dry-land habitats; catkins slender, pendent, generally >= 2 cm ..... FAGACEAE (2) {G9,11}
40' Leaves glabrous or with minute, straight hairs, dotted with tiny resin glands; sepals 0; generally of moist, often wetland habitats; catkins short, dense, generally < 2 cm ..... MYRICACEAE (2) {G9,11}
38' Deciduous shrubs or trees
41. Sepals small but evident
42. Sepals 5–7; stamens 5–20; veins pinnate; leaf bases generally symmetric ..... FAGACEAE (2) {G9,11}
42' Sepals 4; stamens 4; veins palmate; leaf bases oblique ..... MORACEAE {G11,12}
41' Sepals 0 or calyx modified into cup- or saucer-shaped structure or reduced to a nectary
43. Leaves dotted with tiny resin glands; individual flowers difficult to distinguish ..... MYRICACEAE (2) {G9,11}
43' Leaves not gland-dotted; individual flowers clearly distinguishable on close examination ..... SALICACEAE {G9,11}
25' Inflorescence not a catkin or spike
44. Leaves and stems armed with prickles
45. Petals free; stamens many ..... ROSACEAE (Rubus ursinus) {G9}
45' Petals fused; stamens 5 ..... SOLANACEAE (Solanum marginatum)
44' Foliage not prickly, sometimes stems thorny or leaves spiny-toothed
46. Leaves palmately lobed
47. Leaves peltate; inflorescence a panicle ..... EUPHORBIACEAE (Ricinus) {G9,12}
47' Leaves not peltate; inflorescence a head ..... PLATANACEAE {G9,10,12}
46' Leaves not palmately lobed
48. Stems and leaves densely covered with stellate hairs ..... EUPHORBIACEAE {G9,15}
48' Stems and leaves glabrous or hairy but hairs not stellate
49. Stamens many
50. Leaves strongly aromatic; sepals 4; petals 0; anthers dehiscing by uplifted lids ..... LAURACEAE ([Laurus]) (2) {G9}
50' Leaves not aromatic; sepals 5; petals 5; anthers dehiscent by slits
51. Flowers in spheric heads; petals yellow, generally concealed by stamens; leaves simple or 2-pinnate ..... FABACEAE (Acacia) (2)
51' Flowers in racemes; petals white, conspicuous; leaves simple ..... ROSACEAE (Oemleria) {G9}
49' Stamens 12 or fewer
52. Leaves compound
53. Leaflets with a few, gland-tipped teeth near base ..... SIMAROUBACEAE (Ailanthus) {G9,10,20}
53' Leaflets entire or teeth not gland-tipped
54. Leaflets 3–20, lance-linear to ovate, 10–130 mm ..... ANACARDIACEAE (2) {G9,20,23}
54' Leaflets 7–33, linear-oblong or narrowly elliptic, 2–10 mm ..... BURSERACEAE {G9,20}
52' Leaves simple (occasionally reduced to scales)
55. Shrub with thorny, generally leafless green stems; leaves scale-like to narrowly oblong, early deciduous ..... SIMAROUBACEAE (Castela) {G9,10,23}
55' Tree, shrub, or woody vine, thorns occasionally present but stems generally leafy; leaves various, sometimes deciduous in winter or dry season
56. Flower parts in 3s — leaves with abaxial groove ..... ERICACEAE (Empetrum) (2) {G9,12,16}
56' Flower parts generally in 4s, 5s, or 6s
57. Flowers in involucred heads, these generally in few- to many-headed clusters ..... ASTERACEAE {G6,8,9,12,14,17}
57' Flowers solitary or variously clustered, not in involucred heads
58. Leaves generally ± gray, either softly hairy or covered with powdery scales ..... CHENOPODIACEAE (2) {G6,8,9,11,15}
58' Leaves green
59. Petals present
60. Leaves entire to lobed, not spiny-toothed; inflorescence a terminal or axillary panicle or umbel-like cluster, or flowers 1; flower parts generally in 5s
61. Petals 1–5 mm ..... ANACARDIACEAE (2) {G9,20,23}
61' Petals 10–15 mm ..... PITTOSPORACEAE (Pittosporum)
60' Leaves spiny-toothed or entire; inflorescence an axillary cyme; flower parts in 4s or 5s
62. Stamens generally 4, alternate petals ..... AQUIFOLIACEAE {G9}
62' Stamens 4–5, opposite petals ..... RHAMNACEAE (Rhamnus) (2) {G9}
59' Petals 0
63. Leaves strongly aromatic; anthers dehiscing by uplifted lids ..... LAURACEAE ([Laurus]) (2) {G9}
63' Leaves not aromatic; anthers dehiscent by slits
64. Stamens = in number to and alternate sepals ..... RHAMNACEAE (Rhamnus) (2) {G9}
64' Stamens = in number to and opposite sepals or > in number than sepals
65. Leaf blade 2–12 mm; shrubs ..... PICRODENDRACEAE (4) {G9,12}
65' Leaf blade 30–140 mm; trees or large shrubs
66. Leaf 3-veined from base; inflorescence a sessile axillary cluster ..... CANNABACEAE (Celtis) {G12}
66' Leaf 1-veined from base; inflorescence a stalked umbel or umbel-like raceme ..... MORACEAE (Maclura) {G9}


--- layout: page title: About header-img: "img/about-bg.png" ---
This contains information pertaining to my software development projects


Reports usages of membership operator
in
with items and containers of incompatible types.
Example:
def list = [1, 2] if ("foo" in list) {} // list of Integers can't contain String


Men in Black (1997)
A movie review by Michael J. Legeros Copyright 1997 by Michael J. Legeros
(Columbia) Directed by Barry Sonnenfield Written by Ed Solomon, based on the comic book by Lowell Cunningham Cast Tommy Lee Jones, Will Smith, Linda Fiorentino, Rip Torn, Vincent D'Onofrio, Tony Shalhoub MPAA Rating "PG-13" Running Time 95 minutes Reviewed at General Cinemas at Pleasant Valley, Raleigh, NC (26JUL97 and 01JUL97)
==
The de facto best of the June and early-July action comedies, MEN IN BLACK has everything that you could want in yet another $100M adap- tation of a comic-book: a wise-cracking lead (Will Smith), his crusty partner (Tommy Lee Jones, all deadpan), a bugged-out villain (Vincent D'Onofrio, with a hefty assist from make-up artist Rick Baker), a pop- reference friendly premise (GHOSTBUSTERS meets "The X-Files" meets "Dragnet" meets THE BLUES BROTHERS), cool sets and cooler gadgets (prod- uction design by Bo Welch), good music (by Danny Elfman), great loca- tions (in and around New York City), and a director (Barry Sonnenfield, of GET SHORTY and ADDAMS FAMILY fame) who happens to have the most macabre sense of humor this side of Tim Burton. And all of it rendered in such a disarmingly unpretentious and almost... throwaway fashion, that you can't *help* but like it. By the second hour, however, the seams begin to show. There's not nearly enough plot or character de- velopment to offset the sight gags or special effects, both of which are *also* in short supply. MEN IN BLACK holds back on everything and the result is a cycle as vicious as Mike Tyson's appetite for flesh. There isn't enough story to keep the characters interesting when the gags go flat, nor are there enough gags to keep the characters interesting when the *story* goes flat. Maybe the sequel will be a bit better.
Grade: B+
-- Mike Legeros - Movie Hell http://www.nonvirtual.com/hell/
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


An interactive website that intergrates simplistic design with great content provide clients with their wish.
This travel and tour website was specifically designed to be elagant and provide very engaging content that will make users immediately fall in love with the tourist sites.
Several years of experience in wide range of design disciplines focusing on user interaction and user experience. Currently working as a product designer and manager at InVisionApp.
I collaborate with clients and peers to nurture and transform ideas into well thought out design specs. After all, that's where the majority of amazing user experiences start. I sketch and wireframe interfaces focusing on content structure, intuitive UI patterns and simple interactions. I'm a minimalist who truly believes that less is more. I design in the browser with HTML(5), CSS(3) and a touch of JavaScript. I love coding things from scratch, but I can work with front-end frameworks like Bootstrap too.


This is a simple HTML page. We need it to test various things like bold text and italic stuff, but also Links and of course, don't forget,
It is split into various paragraphs, and also has custom new lines


HIV/AIDS CARE DIRECTORY
In Uganda, community structures include Village health teams (VHTs), networks of People Living with HIV (PLHIV), faith-based organizations, Civil Society Organizations (CSOs). Each of these structures independently offers unique value in connecting people to health services. To ensure effective continuum of response to HIV/AIDS, strong links must exist between service providers and communities to increase the ease and consistence with which people access prevention, care, treatment and support services. There are many community-based services in most places, but often groups don’t know about each other or make formal plans to work together. Community health workers need to find out what services are available and help encourage cooperation between service providers. They should use the existing service directory of CBOs and NGOs in the catchment area to refer clients accordingly.
The HIV/AIDS care directory will enable CHWs assess the patient’s needs for community-based services and provide referrals appropriately. The directory will create a networked health service providers web at the community and facility level, able to collaborate more effectively and consistently provide HIV/AIDS care, support and treatment to individuals and families.
Latest Publications
The TASO
JANUARY 2017 VOL. 43 NO. 1
Publications12 Jan 2017
Epidemiological News Bulletin
Publications12 Jan 2017
Publications2 Dec 2016
ElderShield Fast Facts Brochure (2016)
Publications16 Nov 2016
Home and Centre-based Care Service Requirements
Publications14 Nov 2016
Communicable Diseases Surveillance in Singapore 2015
Publications14 Nov 2016
Publications28 Oct 2016
OCTOBER 2016 VOL. 42 NO. 4
Publications20 Jul 2016
JULY 2016 VOL.42 NO. 3
Publications14 Jul 2016
Pioneer Generation Booklet (2016)


Vienna Prosecutors Confirm Detention of Former Top Official of Russian Ministry of Culture
Earlier, Spanish police reported that an unidentified official from the Russian Ministry of Culture had been detained in Austria on suspicion of money laundering.
A former high-ranking official of the Russian Ministry of Culture was detained in Austria, a representative for the prosecutor's office, Nina Busseck, said on Thursday.
The representative refused to disclose the name of the detained official. According to Busseck, prosecutors have demanded that the court arrest the official.
Earlier, Spanish police reported that a former official of the Russian Ministry of Culture had been detained on suspicion of laundering money that the public servant had obtained illegally in Russia, which was used to purchase a 4-million euro luxury mansion in Marbella, Spain.


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You have to dream before your dreams can come true.
We should not give up and we should not allow the problem to defeat us.
Science is a beautiful gift to humanity; we should not distort it.
Excellence is a continuous process and not an accident.
Great teachers emanate out of knowledge, passion and compassion.


Dear
CATS Originators,
CATS Reviewer, [Modified By] has completed their review [CurrentReviewRound] of [CATSID], [Subject].
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{% extends "navbar/navbar.html" %} {% block title %}Success{% endblock title %} {% block base_template %}
Could not activate Account. Try Again !!
Go to login page and click 'Activate Account'
Hint: Probably entered username or email is wrong or does not exist.


CCG Markup Renderer
This page produces an HTML-based display of a CCG derivation specified with CCG Markup. It also provides machine-readable data structures in JSON.
Caveat: This tool does not check the details of the derivation for well-formedness. (E.g., it is not required to be a tree, and no interpretation of the categories, semantics, or combinators is performed.)
HTML Visualization
JSON
Three JSON alternatives are provided. They contain equivalent information but are structured differently.
Every constituent is associated with a unique index, stored under "i". A constituent’s "name" is the substring of the sentence that it spans. In the second and third alternatives, constituents refer to other constituents by index.
Tree
This captures constituency via nesting, forming a tree structure. It should only be used if the derivation forms a full tree over the sentence.
Flat List
This structures the derivation as a list of constituents. They are ordered according to the input markup.
Table
This organizes the constituents into rows for rendering in a table.


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Don't worry about dieting! Enjoy the mouth watering 🤤 food from us. We will try to give you onr of the best food you have ever tested. We are providing homemade food items.😍 My mother prepares these foods after getting an order from you.😇 We are trying to provide fresh, halal & quality food at a reasonable price.🤤🤤
Order NowDon't worry about dieting! Enjoy the mouth watering 🤤 food from us. We will try to give you onr of the best food you have ever tested. We are providing homemade food items.😍 My mother prepares these foods after getting an order from you.😇 We are trying to provide fresh, halal & quality food at a reasonable price.🤤🤤
More food photos
We are trying to serve fresh homemade food.
As we tried to serve Fresh Food so that people can take
fresh and tasty food.
We do not sell pre-made food. We take pre-orders and deliver the food the next
day.
Here we are presenting double layer pudding.
This wonderful dessert have a layer one
caramel
and a layer of chocolate. It is so much delicious.
Here we are presenting double layer pudding.
This wonderful dessert have a layer one
caramel
and a layer of chocolate. It is so much delicious.
Here we are presenting double layer pudding.
This wonderful dessert have a layer one
caramel
and a layer of chocolate. It is so much delicious.
★★
চিকেন সমুচা = ২৫০ টাকা (১০ পিস)
বিফ সমুচা = ২৮০ টাকা (১০ পিস)
★★
জার কেক --> ১৫০ টাকা (প্রতি জার) | ৩টি ফ্লেভারের পাওয়া যাবে।
★★
জালি কাবাব - ৩০০ টাকা (১০ পিস)
★★চিকেন চিজ বল (১০ পিস)- ২৫০ টাকা
★★Double layer pudding (ডাবল লেয়ার পুডিং)
Weight: 900gm-1000gm
Price- 330 Taka (1 piece) || 600 Taka (2 piece)
★★
চিকেন রোল ১০ পিস- ২৭০ টাকা
ভেজিটেবল রোল ১০ পিস- ২২০ টাকা
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|
JavaTM 2 Platform Standard Ed. 5.0 |
|||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
See:
Description
| Interface Summary | |
|---|---|
| SecretKey | A secret (symmetric) key. |
| Class Summary | |
|---|---|
| Cipher | This class provides the functionality of a cryptographic cipher for encryption and decryption. |
| CipherInputStream | A CipherInputStream is composed of an InputStream and a Cipher so that read() methods return data that are read in from the underlying InputStream but have been additionally processed by the Cipher. |
| CipherOutputStream | A CipherOutputStream is composed of an OutputStream and a Cipher so that write() methods first process the data before writing them out to the underlying OutputStream. |
| CipherSpi | This class defines the Service Provider Interface (SPI)
for the Cipher class. |
| EncryptedPrivateKeyInfo | This class implements the EncryptedPrivateKeyInfo type
as defined in PKCS #8. |
| ExemptionMechanism | This class provides the functionality of an exemption mechanism, examples of which are key recovery, key weakening, and key escrow. |
| ExemptionMechanismSpi | This class defines the Service Provider Interface (SPI)
for the ExemptionMechanism class. |
| KeyAgreement | This class provides the functionality of a key agreement (or key exchange) protocol. |
| KeyAgreementSpi | This class defines the Service Provider Interface (SPI)
for the KeyAgreement class. |
| KeyGenerator | This class provides the functionality of a (symmetric) key generator. |
| KeyGeneratorSpi | This class defines the Service Provider Interface (SPI)
for the KeyGenerator class. |
| Mac | This class provides the functionality of a "Message Authentication Code" (MAC) algorithm. |
| MacSpi | This class defines the Service Provider Interface (SPI)
for the Mac class. |
| NullCipher | The NullCipher class is a class that provides an "identity cipher" -- one that does not tranform the plaintext. |
| SealedObject | This class enables a programmer to create an object and protect its confidentiality with a cryptographic algorithm. |
| SecretKeyFactory | This class represents a factory for secret keys. |
| SecretKeyFactorySpi | This class defines the Service Provider Interface (SPI)
for the SecretKeyFactory class. |
| Exception Summary | |
|---|---|
| BadPaddingException | This exception is thrown when a particular padding mechanism is expected for the input data but the data is not padded properly. |
| ExemptionMechanismException | This is the generic ExemptionMechanism exception. |
| IllegalBlockSizeException | This exception is thrown when the length of data provided to a block cipher is incorrect, i.e., does not match the block size of the cipher. |
| NoSuchPaddingException | This exception is thrown when a particular padding mechanism is requested but is not available in the environment. |
| ShortBufferException | This exception is thrown when an output buffer provided by the user is too short to hold the operation result. |
Provides the classes and interfaces for cryptographic operations. The cryptographic operations defined in this package include encryption, key generation and key agreement, and Message Authentication Code (MAC) generation.
Support for encryption includes symmetric, asymmetric, block, and stream ciphers. This package also supports secure streams and sealed objects.
Many of the classes provided in this package are provider-based. The class itself defines a programming interface to which applications may write. The implementations themselves may then be written by independent third-party vendors and plugged in seamlessly as needed. Therefore application developers may take advantage of any number of provider-based implementations without having to add or rewrite code.
|
JavaTM 2 Platform Standard Ed. 5.0 |
|||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
Copyright © 2004, 2010 Oracle and/or its affiliates. All rights reserved. Use is subject to license terms. Also see the documentation redistribution policy.


fusetools.gsuite_tools.GSheets¶
-
class
fusetools.gsuite_tools.
GSheets
[source]¶ Bases:
object
Functions for interacting with Google Sheets.
Methods
Adds a tab to a Google Sheet.
Creates a GSheets authenticated credentials object.
Deletes data from a Google Sheet.
Freezes the rows of a given Google Sheet.
Gets data from a Google Sheet.
Get the names and IDs of tabs for a given Google Sheet.
Creates a Google Sheet in one’s GSuite account.
Uploads a Pandas DataFrame to a Google Sheet.
Updates a google spreadsheet cell with a value.
-
classmethod
add_google_sheet_tab
(spreadsheet_id, tab_name, credentials)[source]¶ Adds a tab to a Google Sheet.
- Parameters
spreadsheet_id – Id of Google Sheet to add tab to.
tab_name – Name of the tab to be added.
credentials – GSuite credentials object.
- Returns
Result object for API call.
-
classmethod
create_service_serv_acct
(member_acct_email, token_path)[source]¶ Creates a GSheets authenticated credentials object.
- Parameters
member_acct_email – GSuite service acct email address.
token_path – Path to GSuite authentication token.
- Returns
Return GSheets authenticated credentials object.
-
classmethod
delete_google_sheet_data
(spreadsheet_id, sheet_id, idx_start, idx_end, credentials, dimension='ROWS')[source]¶ Deletes data from a Google Sheet.
- Parameters
spreadsheet_id – ID of spreadsheet to update.
idx_start – Starting index of row/column for range to delete.
idx_end – Ending index of row/column for range to delete.
credentials –
dimension –
- Returns
-
classmethod
freeze_rows_google_sheet
(spreadsheet_id, tab_id, freeze_row, credentials)[source]¶ Freezes the rows of a given Google Sheet.
- Parameters
spreadsheet_id – Id of Google Sheet to retrieve.
tab_id – Id of tab to modify.
freeze_row – Spreadsheet row to freeze.
credentials – GSuite credentials object.
- Returns
Result object for API call.
-
classmethod
get_google_sheet
(spreadsheet_id, range_name, credentials, tab_name=False)[source]¶ Gets data from a Google Sheet.
- Parameters
spreadsheet_id – Id of Google Sheet to retrieve.
range_name – Row/Column of Sheet range to retrieve (ex: A1:A99).
tab_name – Name of tab to pull data from (optional).
credentials – GSuite credentials object.
- Returns
Pandas DataFrame of retrieved data.
-
classmethod
get_google_sheet_tabs
(spreadsheet_id, credentials)[source]¶ Get the names and IDs of tabs for a given Google Sheet.
- Parameters
spreadsheet_id – ID of spreadsheet to update.
credentials – GSuite credentials object.
- Returns
Names and IDs of tabs for a given Google Sheet.
-
classmethod
make_google_sheet
(ss_name, credentials)[source]¶ Creates a Google Sheet in one’s GSuite account.
- Parameters
ss_name – Name of the Google Sheet to be created.
credentials – GSuite credentials object.
- Returns
Id of newly created Google Sheet.
-
classmethod
update_google_sheet_df
(spreadsheet_id, df, data_range, credentials, header=False)[source]¶ Uploads a Pandas DataFrame to a Google Sheet.
- Parameters
spreadsheet_id – ID of spreadsheet to update.
df – Pandas DataFrame to update spreadsheet with.
data_range – Spreadsheet range to insert DataFrame into.
credentials – GSuite credentials object.
- Returns
API response.
-
classmethod
update_google_sheet_val
(spreadsheet_id, tab_id, val, row, col, credentials)[source]¶ Updates a google spreadsheet cell with a value.
- Parameters
spreadsheet_id – Id of spreadsheet to update.
tab_id – Id of spreadsheet tab to update.
val – Value to update spreadsheet cell with.
row – Row of cell to update.
col – Column of cell to update.
credentials – GSuite credentials object.
- Returns
API response.
-
classmethod


Class: ActionDispatch::HostAuthorization::DefaultResponseApp
Do not use. This class is for internal use only.
| Relationships & Source Files | |
| Inherits: | Object |
| Defined in: | actionpack/lib/action_dispatch/middleware/host_authorization.rb |
Constant Summary
-
RESPONSE_STATUS =
# File 'actionpack/lib/action_dispatch/middleware/host_authorization.rb', line 87403
Instance Method Summary
- #call(env)
- #available_logger(request) private
- #log_error(request) private
- #response(format, body) private
- #response_body(request) private
Instance Method Details
#available_logger(request) (private)
[ GitHub ]# File 'actionpack/lib/action_dispatch/middleware/host_authorization.rb', line 120
def available_logger(request) request.logger || ActionView::Base.logger end
#call(env)
[ GitHub ]# File 'actionpack/lib/action_dispatch/middleware/host_authorization.rb', line 89
def call(env) request = Request.new(env) format = request.xhr? ? "text/plain" : "text/html" log_error(request) response(format, response_body(request)) end
#log_error(request) (private)
[ GitHub ]# File 'actionpack/lib/action_dispatch/middleware/host_authorization.rb', line 112
def log_error(request) logger = available_logger(request) return unless logger logger.error("[#{self.class.name}] Blocked host: #{request.host}") end
#response(format, body) (private)
[ GitHub ]# File 'actionpack/lib/action_dispatch/middleware/host_authorization.rb', line 105
def response(format, body) [RESPONSE_STATUS, { Rack::CONTENT_TYPE => "#{format}; charset=#{Response.default_charset}", Rack::CONTENT_LENGTH => body.bytesize.to_s }, [body]] end
#response_body(request) (private)
[ GitHub ]# File 'actionpack/lib/action_dispatch/middleware/host_authorization.rb', line 98
def response_body(request) return "" unless request.get_header("action_dispatch.show_detailed_exceptions") template = DebugView.new(host: request.host) template.render(template: "rescues/blocked_host", layout: "rescues/layout") end


--- layout: post title: Grilled Carrot "Hot Dogs" with Tangy Slaw recipe date: 2017-08-22 20:50:02.000000000 -04:00 type: post parent_id: '0' published: true image: assets/images/post-img/GRILLED-CARROT-DOG-WITH-CILANTRO-SLAW-recipe-02062017-508x254.jpg status: publish categories: - Recipes - Veggies-Meatless tags: - Epicurious.com - Vegan/Vegetarian meta: _wpghs_github_path: _posts/2017-08-22-grilled-carrot-hot-dogs-with-tangy-slaw-recipe.md _sha: d4a20b1b512c7894558b045e0d31ea4d0c0102a0 _wpas_done_all: '1' _edit_last: '1' _thumbnail_id: '746' _posts_by_tag_page_fields: a:2:{s:12:"widget_title";s:0:"";s:11:"widget_tags";s:0:"";} _wp_old_slug: grilled-carrot-hot-dogs-with-tangy-slaw-recipe-epicurious-com _yourls_url: http://7t3.link/87vne _yourls_clicks: '6' author: login: mkelley email<EMAIL_ADDRESS>display_name: Mike first_name: Mike last_name: Kelley ---
This delicious vegetarian take on a backyard barbecue staple swaps traditional hot dogs for glazed carrots packed with earthy umami flavor and spice thanks to a combo of maple, soy, and adobo sauce. Adding white beans to the bright cilantro coleslaw adds extra protein to this easy weeknight meal.
Source: Grilled Carrot "Hot Dogs" with Tangy Slaw recipe | Epicurious.com


Mothercare 'on brink of collapse' with thousands of jobs at risk
The company has three stores across Devon and Cornwall
by Neil Murphy, Jamie HawkinsMothercare is on the brink of collapse, placing 2,500 jobs at risk, according to reports.
The troubled retailer is said to be ready to place the UK business into administration, which could see all stores close.
The listed company is in advanced talks with lenders about fresh refinancing, according to Sky News.
But the radical restricting plans would not directly affect its publicly quoted parent company, The Mirror reports.
Mothercare's UK business represents only a small part of its overall group sales and is now dominated by its franchising business outside the UK.
Mothercare has been trying for several months to find a buyer for its UK business.
It opened its first store in the UK in 1961 in Surrey which now comprises just 79 standalone outlets.
The company has around 2,500 employees who are now facing redundancy.
In recent times, Mothercare has transformed itself into an international franchising group and trades from 1,000 stores in about 50 countries.
The struggling retailer, which fell to a £36.3million loss last year under a controversial company voluntary arrangement (CVA).
The news comes just months after Mothercare sold off its Early Learning Centre arm to The Entertainer for £13.5million.
Mothercare’s UK business has been unprofitable for more than a decade, which sparked a mass of closures last year.
In January, it warned of a "challenging period" after even digital sales at the retailer dropped 16.3% .
It blamed lower iPad sales led by its store closure programme as well as a smaller 'Toy offer' with less discounting.
By the end of March 2019, the chain's business store count had fallen from 137 in May 2018 to 79.
The company also said it is aiming to be debt free by the end of this year.
It blamed lower iPad sales led by its store closure programme as well as a smaller 'Toy offer' with less discounting.
By the end of March 2019, the chain's business store count had fallen from 137 in May 2018 to 79.
Mothercare has stores in Torquay, Plymouth and Truro.
Its Exeter store closed earlier this year.


In this module we will try to define what counts as literature and what counts as texts.
Through reading, writing , and particapting as a class we will explore these questions.
Tim Martin with an overview of the Question what is Children's Literature?
Fractionated Texts a series of 6 minute talks answering thee question of what exactly counts as a text.
Brigid Alverson asks do graphic novels count?
Maisha Winn explores literacy spaces in out of school spaces in communities of color.
Complete the readings. The expectation is not that you memorize everythign I assign.
I give you a text set. You will read some sources closer than others. It depends on what you are drawn to and what questions you seek to answer.
Write a blog post about your reactions to the reading.
Just remember no word count is required. You are to use exactly the words (or no words at all) to get your meaning across. You do need to draw on the sources you read. That is simply good writing.
Performance Task: share a defintion of literacy without using any words.
This can be a drawing, a slideshow, pictures, or a sketch. Your definition can be made with paper or pixel. Just share your image on the class stream.
Performance Task:Metaphors matter. In many way storytellers are alchemists. What is storytelling? What is alchemy? Explore. Maybe a blog post, a tweet, a video, tell us something.


I'm an Artificial Intelligence enthusiast currently pursuing my Master's Degree in ML and NLP at Carnegie Mellon University. I have previously worked on application of Deep Learning techniques to solve problems in the mobile networking domain. I am comfortable with core languages such as Python, C/C++, Java and the web tech stack.
Master of Science
Intelligent Information Systems
Carnegie Mellon University, December 2018
Filed for Provisional India Patent (IN201641036572)
15th International Conference on Information Technology, Bhubaneswar, India
Publisher: IEEE
2016 International Conference on Computational Intelligence and Computing Research, Chennai, India
Publisher: IEEE
14th International Conference on Information Technology, Bhubaneswar, India
Publisher: IEEE
Tenth Rank Holder, Dept. of CSE, Batch of 2016
Received the MR Doreswamy Award for all semesters
First Ranker, Batch of 2010
NVA Hackathon, Brocade Communications Systems
HackerRamp HackDay 2016, Myntra Designs
App.ly: Code to Empower Her – Women’s Day Hackathon, SAP Labs
Actively tutored students in government schools weekly
Participated in blood donation drives
Promptly took on the role of Student Placement Coordinator and assisted in the University placements process at PESIT.
Headed Ayana-2015, a 24 hour hackathon at PESIT which had over 150 participants from diverse academic and professional backgrounds.
Conducted web technology workshops for students in the university
Mentored a group of juniors on their hobby project which was received well by Venture Capitalists during IIMB’s Startup Bootcamp.


--- layout: post title: Enable remote RPC calls on Transmission (as used by Synology Download Station) date: '2013-06-09T00:58:00.004+02:00' author: Libor Nenadál tags: modified_time: '2013-06-09T00:58:49.526+02:00' blogger_id: tag:blogger.com,1999:blog-17453343.post-2038335260886222739 blogger_orig_url: http://saxuality.blogspot.com/2013/06/enable-remote-rpc-calls-on-transmission.html ---
/usr/syno/etc/packages/DownloadStation/download/settings.json
edit item rpc-whitelist
to IP you have. For example: "<IP_ADDRESS>,192.168.*.*"
ps w | grep transmission
kill -HUP


Cape Santa Marina lies at the northern tip of Long Island. The reefs off this cape extend a significant distance off shore. Be sure to give it a 3 or 4 mile clearance.
This is a remote and very peaceful area of the island.
Position 23° 33.3′N, 75° 16.4′W (Stella Maris Marina)
See main Bahamas Clearance page for all information.
Clearance can be arranged here by requesting a meeting with the Customs and Immigration officers at Stella Maris airport.
Last updated August 2016.
The small marina at the Stella Maris Resort, lies about 15nm south of the northern end of the island, on the west coast. It offers very good shelter. There are several secure anchorages in the area if great care is taken entering them.
Last updated August 2016.


Go to the source code of this file.
Compounds | |
| class | TNode |
| Implements a node of the outline. More... | |
| class | TOutline |
| Implements a simple outline viewer. More... | |
| class | TOutlineViewer |
| Implements an outline viewer. More... | |
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| ipstream& | operator>> (ipstream &is, TOutline &o) |
| ipstream& | operator>> (ipstream &is, TOutline *&o) |
| opstream& | operator<< (opstream &os, TOutline &o) |
| opstream& | operator<< (opstream &os, TOutline *o) |
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| const int | ovExpanded = 0x01 |
| const int | ovChildren = 0x02 |
| const int | ovLast = 0x04 |
| const int | cmOutlineItemSelected = 301 |
Definition in file outline.h.
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