The k-Means algorithm clusters data by trying to separate samples in n groups of equal variance, minimizing a criterion known as the inertia or within-cluster sum-of-squares. This algorithm requires the number of clusters to be specified. It scales well to large number of samples and has been used across a large range of application areas in many different fields.
The k-means algorithm divides a set of N samples X into K disjoint clusters C, each described by the mean μ of the samples in the cluster. The means are commonly called the cluster “centroids”; note that they are not, in general, points from X, although they live in the same space. The k-means algorithm aims to choose centroids that minimise the inertia, or within-cluster sum of squared criterion.
The disadvantages of k-means include :
Enron was one of the largest US companies in 2000. At the end of 2001, it had collapsed into bankruptcy due to widespread corporate fraud, known since as the Enron scandal. A vast amount of confidential information including thousands of emails and financial data was made public after Federal investigation.
In this project, I will apply k-means clustering to the Enron financial data.
We first need to download the Enron Corpus (this might take a while, like more than an hour) and unzip the file (which can take a while too). There is 156 people in this dataset each one identified by their last name and the first letter of their first name.
Let's take a look at the data. The dataset for the project can be read as a dictionary where each key is a person and its value is a dictionnary containing all the possible feature. Here is an example of one of the entry :
{'ALLEN PHILLIP K': {'bonus': 4175000,
'deferral_payments': 2869717,
'deferred_income': -3081055,
'director_fees': 'NaN',
'email_address'<EMAIL_ADDRESS>'exercised_stock_options': 1729541,
'expenses': 13868,
'from_messages': 2195,
'from_poi_to_this_person': 47,
'from_this_person_to_poi': 65,
'loan_advances': 'NaN',
'long_term_incentive': 304805,
'other': 152,
'poi': False,
'restricted_stock': 126027,
'restricted_stock_deferred': -126027,
'salary': 201955,
'shared_receipt_with_poi': 1407,
'to_messages': 2902,
'total_payments': 4484442,
'total_stock_value': 1729541}
}
I will first perfom k-means based on just two features, "salary" and "exercised_stock_options".
### Modified from: Udacity - Intro to Machine Learning
import pickle
from feature_format import featureFormat, targetFeatureSplit
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler
import matplotlib.pyplot as plt
##########################################################################
### Split data
### A pickle document was created by the instructors of the course.
### To find it, see the full project on github
dictionary = pickle.load( open("../final_project/final_project_dataset_modified.pkl", "r") )
### Create a list of features with the first one being "poi"
poi = "poi"
feature_1 = "salary"
feature_2 = "exercised_stock_options"
features_list = [poi, feature_1, feature_2]
### FeatureFormat converts data from the dictionary format to an
### (n x k) python list that's ready for training an sklearn algorithm
data = featureFormat(dictionary, features_list, remove_any_zeroes=True)
### targetFeatureSplit separates out the first feature (should be the target)
### from the others. The function returns targets in in its own list
### and all of the other features in a separate list
poi, finance_features = targetFeatureSplit( data )
### Feature scaling
scaler = MinMaxScaler(feature_range=(0, 1), copy=True)
scaler.fit(finance_features)
finance_features = scaler.transform(finance_features)
##########################################################################
### Draw the scatterplot
for f1, f2 in finance_features:
plt.scatter( f1, f2 )
### Add axis labels
plt.xlabel(features_list[1])
plt.ylabel(features_list[2])
plt.savefig("test.png")
plt.show()
Scaled repartition of the people and their "exercised_stock_options" with respect to their "salary"
The class sklearn.cluster.KMeans() was used for clustering.
### Modified from: Udacity - Intro to Machine Learning
from sklearn.cluster import KMeans
kmeans = KMeans(n_clusters=2, random_state=0).fit(finance_features)
### Fitting linear model on the training set
kfit = kmeans.fit(finance_features)
### Cluster prediction
pred = kmeans.predict(finance_features)
##########################################################################
### Draw the scatterplot with n_clusters
for ii, pp in enumerate(pred):
plt.scatter(features[ii][0], features[ii][1], color=colors[pred[ii]])
### Add axis labels
plt.xlabel(features_list[1])
plt.ylabel(features_list[2])
plt.savefig("test.png")
plt.show()
K-means cluster with 2 features
feature1 = "salary", feature2 = "exercised_stock_options"
K-means cluster with 2 features with marked "poi"
Red crosses show "poi"
Two clusters are identified in blue and yellow. The scheme with marked "poi" shows that the yellow cluster identify some "poi" but still a lot of them fall into the blue cluster. More features might be necessary for better clustering.
Accuracy calculations for this clusters are :
Global accuracy reaches 87.903 % but poi accuracy is pretty low, which means that
the cluster is not effective at finding poi. On the other hand, the Non-Poi accuracy
is high, 99.057 %, meaning that we are less suceptible of getting false positives.
A third feature "total_payments" is taken into account.
### Modified from: Udacity - Intro to Machine Learning
import pickle
from feature_format import featureFormat, targetFeatureSplit
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler
import matplotlib.pyplot as plt
##########################################################################
### Split data
dictionary = pickle.load( open("../final_project/final_project_dataset_modified.pkl", "r") )
poi = "poi"
feature_1 = "salary"
feature_2 = "exercised_stock_options"
feature_3 = "total_payments"
features_list = [poi, feature_1, feature_2, feature_3]
data = featureFormat(dictionary, features_list, remove_any_zeroes=True)
poi, finance_features = targetFeatureSplit( data )
scaler = MinMaxScaler(feature_range=(0, 1), copy=True)
scaler.fit(finance_features)
finance_features = scaler.transform(finance_features)
##########################################################################
### Draw the scatterplot
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
for f1, f2, f3 in finance_features:
ax.scatter( f1, f2, f3 )
### Add labels
ax.set_xlabel(features_list[1])
ax.set_ylabel(features_list[2])
ax.set_zlabel(features_list[3])
plt.savefig("test.png")
plt.show()
Scaled repartition of the people with 3 features
feature1 = "salary", feature2 = "exercised_stock_options", feature3 = "total_payments"
Clustering with three features (n_clusters = 2)
### Modified from: Udacity - Intro to Machine Learning
from sklearn.cluster import KMeans
kmeans = KMeans(n_clusters=2, random_state=0).fit(finance_features)
### Fitting linear model on the training set
kfit = kmeans.fit(finance_features)
### Cluster prediction
pred = kmeans.predict(finance_features)
##########################################################################
### Draw the scatterplot with n_clusters
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
colors = ['b', 'y']
for ii, pp in enumerate(pred):
plt.scatter(features[ii][0], features[ii][1], features[ii][2] color=colors[pred[ii]])
### Add axis labels
ax.set_xlabel(features_list[1])
ax.set_ylabel(features_list[2])
ax.set_zlabel(features_list[3])
plt.savefig("test.png")
plt.show()
K-means cluster (n_clusters = 2) with 3 features
feature1 = "salary", feature2 = "exercised_stock_options", feature3 = "total_payments"
K-means cluster (n_clusters = 2) with 3 features with marked "poi"
Red crosses show "poi"
Clustering (n_clusters = 2) with the 3 features "salary", "exercised_stock_options" and "total_payments" makes some point from the yellow to switch into the blue group. Accuracy calculations are:
A Global Accuracy of 87.770 % shows that the clustering does a decent job at finding
if a person is or is not a "poi". However, when looking only at the "poi" feature
the accuracy drops to 11.111 % meaning that the clustering is not very good at finding
"poi".
Clustering with three features (n_clusters = 3)
K-means cluster (n_clusters = 3) with 3 features
feature1 = "salary", feature2 = "exercised_stock_options", feature3 = "total_payments"
K-means cluster (n_clusters = 3) with 3 features with marked "poi"
Red crosses show "poi"
Clustering with n_clusters = 3 when the outcome expected is binary (is "poi" or is not "poi") might seem odd. However, the classification can be considered as a gradient as of probability where we consider three states :
Accuracy calculations for this clusters are :
The Global Accuracy drops drastically to 50.360 % showing that the cluster is
more prone to get false positive. However, the poi Accuracy rises to 94.444 %
when considering both probable poi and high probability poi. One remarkable thing
about this clustering is that the low probability poi cluster predicts non poi
with an accuracy of 98.148 %.


- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
- Primary
- Secondary
- Tertiary
- Quaternary
- Quinary
- Senary
- Primary
- Secondary
- Tertiary
- Quaternary
- Quinary
- Senary
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
Alternate order 01
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
- Primary
- Secondary
- Tertiary
- Quaternary
- Quinary
- Senary
But though I was so terrified by the idea of the seafaring man with one leg, I was far less afraid of the captain himself than anybody else who knew him.
There were nights when he took a deal more rum and water than his head would carry; and then he would sometimes sit and sing his wicked, old, wild sea-songs, minding nobody; but sometimes he would call for glasses round and force all the trembling company to listen to his stories or bear a chorus to his singing.
Often I have heard the house shaking with "Yo-ho-ho, and a bottle of rum," all the neighbours joining in for dear life, with the fear of death upon them, and each singing louder than the other to avoid remark.
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
Alternate order 02
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
- Primary
- Secondary
- Tertiary
- Quaternary
- Quinary
- Senary
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive
- Perspicacious
- Salience
- Clemency
- Effervescence
- Erudition
- Effusive


Contents Additional Definitions State Constraint Model Values Definition Override Action Constraint
This model editor page allows you to add less-often used parts of a model that describe the spec that the Toolbox calls TLC to check. It's a good idea to browse this page just to see what options it provides, since some of the features are not ones you would expect. The page is raised from a link on the Model Overview Page.
It is sometimes convenient to define operators just for use in the expressions that specify a model. For example, you might want to define an operator that you use can use in more than one invariant. If you don't want those definitions to be part of the spec, you can put them in this section of the page. These definitions can use any operator or parameters that can be used in the the root module, as well as any model value that is declared in the model.
In addition to definitions, in this section you can also
put assumptions (ASSUME
statements)
for TLC to check. Putting other
things in this section, such as declarations,
will result in mysterious TLC errors.
Many behavior specifications have an infinite set of reachable states. For example, message queues could get arbitrarily large. TLC will run forever (or until your computer runs out of disk space) on such a behavior spec. You could just let it run and keep looking for violations of safety properties such as invariance. However, it's a better idea to limit the set of states by entering a state constraint here.
A state constraint is a state predicate, which is a
Boolean-valued expression that contains unprimed variables.
When computing the set of reachable states, TLC will not
explore successor states of any state it finds that does
not satisfy the state constraint. For example,
specifying len < 3
essentially
limits the set of reachable states that TLC finds to ones
that can be reached by a sequence of states in which
the value of the variable len
is less than 3. See Section 14.3 (page 240) of
Specifying Systems for an explanation of how TLC
computes reachable states. Note that there is no need
for multiple state constraints because they can simply be
conjoined to form a single constraint.
We want our specifications to be as simple and easy to understand as possible. Sometimes this leads to a definition that TLC cannot evaluate, or that it can evaluate only very inefficiently. In that case, we must override the definition by telling TLC to replace it with a new definition. To do this, click on the section's Add button, select the operator whose definition you want to override, and click OK . (You can also double-click on the operator name.) This will raise a dialog in which you can specify the overriding.
If the operator whose definition you are overriding has arguments, you will be presented with a form for writing the new definition in the obvious way. If it has no arguments, you have two options. With the Ordinary assignment option, you just write the new definition. The Model value option defines the operator to equal a model value of the same name. See the Model Values and Symmetry help page for an explanation of model values and the most common reason why you would want to override the definition in this way.
You can override definitions made in modules other than the root module. If a definition is in a module imported with an INSTANCE statement, then the name of the module containing the definition is indicated.
You can edit or remove an overriding specification in the obvious way: by selecting it and using the Edit or Remove button. (Editing is also selected by double-clicking on the item.)
Some Fine Print
When overriding a definition,
the new definition can use any operator or parameters that
can be used in the the root module, as well as any
model value that is
declared in the model. This means that you can override
a definition with an expression that
contains operators that are undefined at the point where the
original definition occurred.
TLC evaluates overridden definitions in the
obvious way, and bizarre overriding can
lead to strange results. For example, if Fact is defined by
Fact(n) == IF n = 0 THEN 1 ELSE n * Bar(n-1)
and the definition of Bar is overridden with
Bar(n) <- Fact(n)
then TLC will evaluate Fact(n) to
equal n! for any natural
number n .
There is no good reason to use such bizarre overriding.


Quarkus integration with Keycloak
Info
Feel free to report issues on the Github project page.
Git details and instance name:
TimeKeeper - Frontend
You need to start the React application on localhost:3000 with npm
start
or yarn start
See frontend/README for more details


/**
* Custom action callback to repost an order to Powerhouse.
*/
function hunter_orders_post_to_powerhouse(&$order, $context) {
_hunter_orders_post_xml_to_ph($order, TRUE);
}
/admin/commerce/orders
4. Using domain context to build two sites in one
We run both US and CA sites off of one Drupal site without using Localization
Relies on both contexts and country codes/domains set in the settings.php file
Product availability is specified using "Available In" fields as well as country specific pricing fields
Why didn't we use localization?
Localization requires the creation of duplicate content for each country.
This would be additional work for content editors, as well as be very complex when integrated with our product/product display methodology.
What did we use? Settings.php in conjunction with Contexts
Within settings.php we define Country codes that contain the domains associated with each country as well as much more information.
Relies on both contexts and country codes/domains set in the settings.php file
Product availability is specified using "Available In" fields as well as country specific pricing fields
Settings.php Example
Context Example #1
Context Example #2
Custom fields are used for stock, availability and price
5. Integrating with fulfillment warehouses
We integrate with two warehouses, Powerhouse for the US and NLS for CA
Use XML feeds of placed orders to initiate communication
Then we use Services to recieve updates for the orders, status changes, shipping info and returns
Feed of orders polled by warehouses to initiate communication
This is built on cron when an order reaches Checkout: Complete status and payment is authorized
The warehouses poll these feeds for new orders and post a response to a Service API to confirm receipt, this order is now Pending
This feed is country specific based on contexts and domain name
Example Feed Part 1: The Customer Info
Ths section contains shipping and billing information, this will be downloaded and saved into the warehouses management system
Example Feed Part 2: The Order Info
This section contains all the order info, each line item is a product, with the necessary info for the warehouse staff to pick, pack and ship this order.
Warehouse use Service API's to communicate back after order is picked up
Every response is queued and processed using the core Queue API. This drastically cuts back on load during bulk posts
The warehouses post an initial reciept to the OrderUpdate Service. This makes the order pending
The warehouses will then post another Update with shipping info once they have it. This triggers the capturing of payment, and marks order as complete
Warehouses use a ReturnOrder Service to post returns when they recieve them. This follows the same Queued messaging protocol of Orders
Order Service Example
The actual processing code is out of scope of this presentation. But you can see how pretty much anything can be accomplished using this methodology
It is STRONGLY recommended to use transactions for all of your updates to the Commerce Order to ensure data integrity
6. Integrating with RetailPro
Retailpro is a back-office accounting software product
Ideal integration is Website -> Fulfillment -> Back-Office, unfourtunately this was not possible with the Canadian warehouse.
We had to build a full featured integration, covering Customer, Order and Return data
This project is MASSIVE, and could have a full presentation dedicated to it, for more info, see Here for more info regarding this and other topics.
What were the requirements?
We needed to provide XML files containing Customer information, Order Information and Return Information at the correct order transitions
These XML files needed to be provided via an FTP server that Retailpro could access
The data in these files must be private, both within Drupal and on the server
The Major Issues: AKA Reverse Engineering and Return Hell
The #1 issue we faced on this project was that we were not provided an API spec, we had to reverse engineer files created by our US warehouse.
While this isn't really a cool "tech" topic to discuss. It brings to light some of the difficulties you may have integrating with 3rd parties
We needed to ensure that these files contained info on the items that were returned, unfourtunately, the return process actually removes the returned items
Our FTP server needed to live in a CHROOTED home directory that the webserver could not have access too
Issue #1 "No API Docs" - Solution?: Lots of hard work
This item really brought to light the absolute necessity of having a full fledge stage environment and dev/test setups with all 3rd parties
This took upwards of 40 iterations to finally have a usable spec, and this was all possible due to a test integration on the stage server
Issue #2 "No Returned Items after Return Completes" - Solution?: Using Entity Metadata Wrappers and Timing the Creation vs Saving of files
We implemented SimpleXML in conjunction with Entity Metadata Wrappers of the Commerce Order object to generate the XML files
This works great for generating Order files on the transition from Processing to Complete, but returns need extra work
Since items are removed from the order during the return process, we generate the XML at the beginning of the return, but save once it is completed
This allows us to have access to the full order object, but not actually send the data until the return is authorized and completed
Generation Example
How this is Called?
How this is Saved?
Here you can see the XML saved above is passed into the function again, this time utilizing the $provided_xml variable
Issue #3 "Must Eventually End up in a Private FTP Server Location" - Solution?: CHROOTED FTP and CRON
Save XML files to the Drupal private files location. This should be above the WebRoot.
Set up an FTP server, which lands in a CHROOTED home directory. CHROOTING is beyond this presentation but necessary for security
Since we don't want the webserver to be able to write directly to the FTP location, use a root cron job to sync files to the FTP from private files
This has the added benefit of creating an archive of all files, regardless of what the Retailpro FTP account does with them
7. Using GEO IP lookup
Utlizes SmartIP in conjunction with custom AJAX callback
Integrates with Maxmind Geo Lookup services using the SmartIP module
AJAX callback function returns the current country, visitors country and other data.
Javascript calls AJAX function and provides Popup
Drupal Javascript Behavior handles cookie get/set and logic for which links to display. If cookie is not set and the user is not on the site that matches their IP location, popup is shown.


{% extends "error.html" %}
{% block error_name %}
You need to login to see this page.
{% endblock %}
{% block error_description %}
We are sorry but you are not authorized to access this page.
{% endblock %}
{% block suggestion %}
Login
{% endblock %}


Watch: Fabolous Shares The Most Lit SUMMERTIME SHOOTOUT 3 Promo Clip
by Team SOHHNew York rapper Fabolous is getting fans extra hyped. The hip-hop star has shared a new promo clip plugging his upcoming Summertime Shootout 3 project. Watch and comment below!


Munnar - breathtakingly beautiful - a haven of peace and tranquility - the idyllic tourist destination in God's own country.
Set at an altitude of 6000 ft in Idukki district, Munnar was the favored summer resort of the erstwhile British rulers in the
colonial days. Unending expanse of tea plantations - pristine valleys and mountains- exotic species of
flora and fauna in its wild sanctuaries and forests - aroma of spice scented cool air - yes! Munnar has
all these and more
Munnar is a town in the Western Ghats mountain range in India’s Kerala state.
A hill station and former resort for the British Raj elite, it's surrounded by
rolling hills dotted with tea plantations established in the late 19th century.
Eravikulam National Park, a habitat for the endangered mountain goat Nilgiri tahr
, is home to the Lakkam Waterfalls, hiking trails and 2,695m-tall Anamudi Peak.
Munnar rises as three mountain streams merge - Mudrapuzha, Nallathanni and Kundala. 1,600 m above
sea level, this hill station was once the summer resort of the erstwhile British Government in South India.
Sprawling tea plantations, picturesque towns, winding lanes and holiday facilities make this a popular
resort town. Among the exotic flora found in the forests and grasslands here is the Neelakurinji.
This flower which bathes the hills in blue once in every twelve years, will bloom next in 2018.
Munnar also has the highest peak in South India, Anamudi, which towers over 2,695 m.
Anamudi is an ideal spot for trekking.


hyperfine
A command-line benchmarking tool.
More information: home page
- Run a basic benchmark, performing at least 10 runs:
hyperfine 'make'
- Run a comparative benchmark:
hyperfine 'make target1' 'make target2'
- Change minimum number of benchmarking runs:
hyperfine --min-runs 7 'make'
- Perform benchmark with warmup:
hyperfine --warmup 5 'make'
- Run a command before each benchmark run (to clear caches, etc.):
hyperfine --prepare 'make clean' 'make'
- Run a benchmark where a single parameter changes for each run:
hyperfine --prepare 'make clean' --parameter-scan num_threads 1 10 'make -j {num_threads}'


Bridge Read File
Say Hello To Node
close
File Name :
1. Get-fs-In-Browser
2. Call-fs-readFile-from-Browser


The Forge and the Puppet Module Tool
Prerequisites
- Welcome Quest
- Power of Puppet Quest
- Resources Quest
- Mainfest Quest
- Varibales Quest
- Conditions Quest
- Ordering Quest
- Classes Quest
- Modules Quest
Quest Objectives
- Confidently use the
puppet module
tool in association with Forge modules
Getting Started
In the previous Modules Quest we primarily learned about the structure of a module and how to create a module. Next we want to answer questions like:
- How do I install a module?
- How do I use a module?
- What about upgrading an existing module?
- How can I do this all this and more from the command line?
To complete this quest, the Learning VM will need to be connected to the Internet.
When you're ready to take your Puppet knowledge to the next level, type the following command:
quest --start forge
The puppet module
tool is one of the most important tools in expanding your use of Puppet. The puppet module
tool allows you to create, install, search, (and so much more) for modules on the Forge. We'll also discuss the Puppet Forge more in detail below.
The puppet module
tool has subcommands that make finding, installing, and managing modules from the Forge much easier from the command line. It can also generate empty modules, and prepare locally developed modules for release on the Forge. ## Actions
-
list
- List installed modules. -
search
- Search the Puppet Forge for a module. -
install
- Install a module from the Puppet Forge or a release archive. -
upgrade
- Upgrade a puppet module. -
uninstall
- Uninstall a puppet module. -
build
- Build a module release package. -
changes
- Show modified files of an installed module. -
generate
- Generate boilerplate for a new module.
Task 1 :
List all the installed modules
Let's see what modules are already installed on the Learning VM and where they're located. To do this, we want Puppet to show it to us in a tree format. Go ahead and type the following command:
puppet module list --tree
Task 2 :
Search the forge for a module
Wow! you have a lot installed. That's great. Let's install one more - the puppetlabs-mysql
module. You should search the Forge for that module. To do so from the command line, type the following command:
puppet module search puppetlabs-mysql
You can also search for just mysql
to see all the modules that have mysql
in their name or description. Modules on the Forge are always named as authorname-modulename. The puppetlabs-mysql
module is a module authored and curated primarily by the puppetlabs organization.
Task 3 :
Install a module
There's something on the Forge that exists! Let use it. Let's install puppetlabs-mysql
module. In fact, let us specify a specific version of the module. Run the following command:
puppet module install puppetlabs-mysql --version 2.2.2
You will that the module is downloaded and installed. You will also see that in addition to the puppetlabs-mysql
module, all the modules it depends on were also downloaded and installed.
By default, modules are installed in the modulepath
.
Task 4 :
Upgrade an installed module
Okay, now let's go ahead and upgrade the mysql module to the latest version:
puppet module upgrade puppetlabs-mysql
Great, if you needed to uninstall a module, you can do so by running the following command:
puppet module uninstall puppetlabs-mysql
The Puppet Forge
The Puppet Forge is a public repository of modules written by members of the puppet community for Puppet. These modules will provide you with classes, new resource types, and other helpful tools such as functions, to manage the various aspects of your infrastructure. This reduces your task from describing the classes using Puppet's DSL to using existing descriptions witht the appropriate values for the parameters.
If you would like to further inspect the puppetlabs-mysql
module Puppet code, you need to want to cd
to the path then open the init.pp
manifest.
cd /etc/puppetlabs/puppet/modules/mysql/manifests
nano init.pp
However, there is a much easier way to inspect this module by visiting the page for the puppetlabs-mysql module on the Forge.
The documentation on the page provides insight into how to use the provided class definitions in the module to accomplish tasks. If we wanted to install mysql
with the default options, the module documentation suggests we can do it as follows:
include '::mysql::server'
It's as simple as that! So if we wanted our machine to have the mysql
module installed on it, all we need to do is ensure that the above class declaration is in some manifest that applies it to our node.
Puppet Enterprise Supported Modules
Puppet Enterprise Supported Modules make it easy to ensure common services can be set up, configured and managed easily with Puppet Enterprise. These are modules that are tested with Puppet Enterprise, and officially supported under the umbrella of Puppet Enterprise support. They will be maintained, with bug and security patches as needed, and are vetted to work on multiple platforms. The list of modules is growing, and includes modules to manage, among others, NTP, Firewall, the Windows registry, APT, MySQL, Apache, and many others. Here's a List of all supported modules at the Forge.
Review
We familiarized ourselves with the Puppet Module tool, which allows to download and manage modules from the Puppet Forge. Once a module is installed, we have access to all the definitions and tools provided by the installed module. This allows us to accelerate the process of managing system configrations with Puppet, by providing us the ability to re-use the work of the Puppet community.


Click any of the headers below to view a screen shot of the titled page. To visit the page, click on the image.


About Easy Jazz
If you want to play jazz, you need to know about music theory. However music theory isn't easy to understand. Even if you know music theory, the instruments must be part of you in order to play jazz. This process takes a very long time. But, with 'easy jazz', you can play jazz "right away".
How to play?
First, there are three types of instruments: guitar saxophone and piano. You can choose what you want. Now, prepare yourself and press the play button. When the song comes out, move the mouse over the instrument. Oh!, don't you know chords and scales? Don't worry about it! you don't need to know it. Easy Jazz will help you
Here is one tip! Big notes are chord tones. You can use a chord tone to express "jazz" feel. Press the Rewind button to move to the start position. You can also skip the bar by pressing the Forward button. Is the same song boring? You can change the song! Press Vinyl Records.


DfE enquiries
Central newsdesk 020 7783 8300
General enquiries 0370 000 2288
Press release
1.4 million more pupils from all backgrounds attending the best schools compared to just 5 years ago.
Education Secretary Nicky Morgan today (1 December 2015) thanked teachers for driving forward the government’s vital educational reforms after figures published by Ofsted showed a record 1.4 million more pupils are now getting the best possible start in ‘good’ and ‘outstanding’ schools compared to 2010.
The overall proportion of schools rated ‘good’ or ‘outstanding’ has risen by 16 percentage points since 2010, with 84% of schools now achieving top Ofsted ratings.
Figures released today to coincide with the publication of the Ofsted annual report show an increase of 18 percentage points in the proportion of good and outstanding primaries compared to 2010. There are also nearly 320,000 more pupils in ‘good’ or ‘outstanding’ secondary schools.
Nicky Morgan emphasised the need to recognise this progress in order to determine how these successes can be embedded and spread across the country, as the government continues to deliver on its commitment to social justice and give every child the best education possible.
Education Secretary Nicky Morgan said:
The landscape of English education has been transformed over the past 5 years through raising both standards and expectations. Thanks to the hard work of teachers across the country and our ambitious programme of reforms, there are now 1.4 million more pupils being taught in ‘good’ or ‘outstanding’ schools compared to 2010.
This progress should not be ignored, but we believe more needs to be done to deliver educational excellence everywhere and tackle pockets of underperformance, so that we can extend opportunity to every single child.
In November, Education Secretary Nicky Morgan announced the next phase of the government’s education reform programme with a package designed to tackle entrenched underperformance. This includes:
Thanks to the education reforms of the past 5 years, significant progress has been made in raising standards in England’s schools. This includes:
Central newsdesk 020 7783 8300
General enquiries 0370 000 2288
Published: 1 December 2015


Man admits manslaughter over death of charity worker Mark Bloomfield in Swansea
Colin Payne denies murdering Mark Bloomfield in an incident near the Full Moon pub and will stand trial next month
by Nino WilliamsA man has pleaded guilty to manslaughter following the death of a charity worker in Swansea.
Mark Bloomfield died a few days after the alleged assault near the Full Moon pub in High Street on July 18.
The 54-year-old had carried out charity work around the globe, including India and Africa, and had worked as a special assistant to Mother Teresa in Calcutta.
Colin Thomas Payne, from Swansea, appeared in Swansea Crown Court on Tuesday where he admitted the manslaughter of Mr Bloomfield as well as perverting the course of justice by removing CCTV footage from outside the pub.
The 61-year-old denies a charge of murder and a trial date of December 2 was set.
Judge Paul Thomas QC said: “For obvious reasons he can’t be sentenced until the trial has been concluded but in the meantime he will be remanded in custody."


You can change My life!U can save me: But you'r my angle! I love u forever!that u believe!


| Chosen item | Needed Quantity | Buying amount | Price | Ingredient | Item Comments | Ingredient Description |
|---|---|---|---|---|---|---|
| {{ ingredient.chosen_item.shopping_item.name }} | {{ ingredient.calculated_quantity }}{{ ingredient.ingredient.default_measurement.display_code }} | {{ ingredient.chosen_item.item_buying_quantity }}{{ ingredient.ingredient.default_measurement.display_code }} ({{ ingredient.chosen_item.item_count }} items) | {{ ingredient.chosen_price | number:2 }}{{ vm.event.shop.currency.display_code }} | {{ ingredient.ingredient.name }} | {{ ingredient.chosen_item.item.comment }} | {{ ingredient.ingredient.description}} |
| Total: {{ vm.accumulates.count }} items | {{ vm.accumulates.price | number:2 }}{{ vm.event.shop.currency.display_code }} |
No shopping items to show. The store you selected doesn't have any of the ingredients you need. Maybe the matching is incomplete? It seems you haven't selected a shop in the event view, you might want to do that. Make sure you added a meal with a recipe in the event view as you have no needed recipes at all in this event.
Generating shopping list...


Bounded by the Nilgiris hills on the East and the Arabian Sea on the west, the district of Malappuram literally the land atop the hills, is remarkable for its unique natural beauty. Perched among the undulating hills and the meandering rivers that flow to reach the coconut-fringed seacoast, the land conceals a unique and eventful history.The hill country also contributed much to the cultural artistic traditions of the state. The mosques and temples of the land are known for their spectacular festivals. The land of great poets and writers, political and religious leaders, the district has carved a unique place of its own in the history of Kerala Home to the khilafath movement and the mappila revolts, which questioned the British authority in India, Malappuram was the military headquarters of the zamorins of Kozhikode since ancient times. Malappuram District was formed on 16th of June 1969 with the Nilgiris of Tamilnadu in the east, Arabian sea in the west, Kozhikode and Wayanad Districts in the north and Palakkad and Thrissur District in the south. The District has a geographical area of 3550 sq. kms, which is 9.13% of total area of the state and ranks 3rd in the state.


Traffic Router API¶
/crs/stats
General stats.
/crs/stats/ip/<ipaddress>
Geolocation information for an IPv4 or IPv6 address.
/crs/locations
A list of configured cache groups.
/crs/locations/caches
A mapping of caches to cache groups and their current health state.
/crs/locations/<location>/caches
A list of caches for this cache group only.
/crs/consistenthash/cache/coveragezone/?ip=<ip>&deliveryServiceId=<deliveryServiceId>&requestPath=<requestPath>
The resulting cache of the consistent hash using coverage zone file for a given client IP, delivery service, and request path.
/crs/consistenthash/cache/deep/coveragezone/?ip=<ip>&deliveryServiceId=<deliveryServiceId>&requestPath=<requestPath>
The resulting cache of the consistent hash using deep coverage zone file (deep caching) for a given client IP, delivery service, and request path.
/crs/consistenthash/cache/geolocation/?ip=<ip>&deliveryServiceId=<deliveryServiceId>&requestPath=<requestPath>
The resulting cache of the consistent hash using geolocation for a given client IP, delivery service, and request path.
/crs/consistenthash/deliveryservice/?deliveryServiceId=<deliveryServiceId>&requestPath=<requestPath>
The resulting delivery service of the consistent hash for a given delivery service and request path – used to test steering delivery services.
/crs/coveragezone/caches/?deliveryServiceId=<deliveryServiceId>&cacheLocationId=<cacheLocationId>
A list of caches for a given delivery service and cache location.
/crs/coveragezone/cachelocation/?ip=<ip>&deliveryServiceId=<deliveryServiceId>
The resulting cache location for a given client IP and delivery service.
/crs/deepcoveragezone/cachelocation/?ip=<ip>&deliveryServiceId=<deliveryServiceId>
The resulting cache location using deep coverage zone file (deep caching) for a given client IP and delivery service.


Dump Database to .csv¶
Program dump_stdb
¶
Description¶
Program to dump a Station Database into .csv
format. If an output file is
specified, file is dumped there (with .csv
extension).
Otherwise output is directed to standard output.
This program is useful when you make edits to an existing .pkl
database
merge two databases, or append a new station to a database, without
automatically creating a corresponding .csv
file.
Usage¶
$ dump_stdb -h
Usage: dump_stdb [options] <station pickle file>
Program to dump the contents of a station database (.pkl) as csv. By default
the output is directed to standard out. If a filename is optionally included,
then the contents are also dumped to file.
Options:
-h, --help show this help message and exit
--keys=KEYS Specify a comma separated list of keys to dump. Any
key not specified by this search is not included in
the output.
-O OFILE, --output-file=OFILE
Specify an output file name for the dumped csv format
data. If no .csv extenion is included, one is added.
-a, --ascii Specify to write ascii Pickle files instead of binary.
Ascii are larger file size, but more likely to be
system independent.
Example¶
In the example in Merge Databases, the database merged_list.pkl
is not automatically
saved in .csv
format:
$ ls -l merged_list.*
-rw-r--r-- 1 username staff 2038 3 Oct 10:44 merged_list.pkl
You can save it as .csv
by executing:
$ dump_stdb merged_list.pkl -O merged_list.csv
$ ls -l merged_list.*
-rw-r--r-- 1 username staff 403 4 Oct 11:51 merged_list.csv
-rw-r--r-- 1 username staff 2038 3 Oct 10:44 merged_list.pkl


This is yet another command-line argument parser which wraps the powerful Perl module Getopt::Long and with some adaptation for easier use in R. It also provides a simple way for variable interpolation in R.
| Version: | 0.1.7 |
| Depends: | R (≥ 3.0.0) |
| Imports: | rjson, GlobalOptions (≥ 0.1.0), methods |
| Suggests: | testthat (≥ 1.0.0), knitr, markdown |
| Published: | 2018-06-10 |
| Author: | Zuguang Gu |
| Maintainer: | Zuguang Gu <z.gu at dkfz.de> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/jokergoo/GetoptLong |
| NeedsCompilation: | no |
| SystemRequirements: | Perl, Getopt::Long |
| Materials: | README NEWS |
| CRAN checks: | GetoptLong results |
| Reference manual: | GetoptLong.pdf |
| Vignettes: |
Parsing command-line arguments Simple variable interpolation in R |
| Package source: | GetoptLong_0.1.7.tar.gz |
| Windows binaries: | r-devel: GetoptLong_0.1.7.zip, r-release: GetoptLong_0.1.7.zip, r-oldrel: GetoptLong_0.1.7.zip |
| OS X binaries: | r-release: GetoptLong_0.1.7.tgz, r-oldrel: GetoptLong_0.1.7.tgz |
| Old sources: | GetoptLong archive |
| Reverse suggests: | ProjectTemplate |
Please use the canonical form https://CRAN.R-project.org/package=GetoptLong to link to this page.


Layout Attribute
Angular Material uses a responsive CSS grid layout based on the
flexbox standard.
Use the layout
attribute on an element to arrange its children
horizontally in a row (layout="horizontal"
), or vertically in
a column (layout="vertical"
). The layout attribute's value
describes what the "main axis" is for its children.
I'm above.
I'm below.
Responsive Layout
The layout
attribute defines an arrangement on all device sizes.
If you wish to define a layout depending upon the device size, there are
other layout
attributes available:
-
layout
sets the default layout on all devices.
-
layout-sm
sets the layout on device >=600px wide.
-
layout-md
sets the layout on devices >=960px wide.
-
layout-lg
sets the layout on devices >=1200px wide.
I'm above on tiny devices, and to the left on devices wider than 600px.
I'm below on tiny devices, and to the right on devices wider than 600px.


From 🇬🇧
(just start typing!)
OMG!!! The house is on fire and the cat is eating all the donuts!
To ✨emoji✨
(hover over the emoji to see the original word)


Click on the picture that you like best of the three shown. You will do this 25 times. Your feedback will determine which items will be sold in our upcoming bus mall catalogue.


20
1 In the year that Tartan came to Ashdod, when Sargon the king of Assyria sent him, he fought against Ashdod and took it.
2 At that time Yahweh spoke by Isaiah the son of Amoz and said, "Go and remove the sackcloth from your waist, and take your sandals off your foot." He did so, walking naked and barefoot.
3 Yahweh said, "Just as my servant Isaiah has walked naked and barefoot for three years, it is a sign and an omen concerning Egypt and concerning Ethiopia—
4 in this way the king of Assyria will lead away the captives of Egypt, and the exiles of Ethiopia, young and old, naked and barefoot, and with buttocks uncovered, to the shame of Egypt.
5 They will be dismayed and ashamed, because of Ethiopia their hope and of Egypt their glory.
6 The inhabitants of these coasts will say on that day, 'Indeed, this was our source of hope, where we fled for help to be rescued from the king of Assyria, and now, how can we escape?'"


Q3DScene Class
Q3DScene class provides description of the 3D scene being visualized. More...
| Header: | #include <Q3DScene> |
| Since: | QtDataVisualization 1.0 |
| Instantiated By: | Scene3D |
| Inherits: | QObject |
Properties
|
|
- 1 property inherited from QObject
Public Functions
| Q3DScene(QObject *parent = Q_NULLPTR) | |
| virtual | ~Q3DScene() |
| Q3DCamera * | activeCamera() const |
| Q3DLight * | activeLight() const |
| float | devicePixelRatio() const |
| QPoint | graphPositionQuery() const |
| bool | isPointInPrimarySubView(const QPoint &point) |
| bool | isPointInSecondarySubView(const QPoint &point) |
| bool | isSecondarySubviewOnTop() const |
| bool | isSlicingActive() const |
| QRect | primarySubViewport() const |
| QRect | secondarySubViewport() const |
| QPoint | selectionQueryPosition() const |
| void | setActiveCamera(Q3DCamera *camera) |
| void | setActiveLight(Q3DLight *light) |
| void | setDevicePixelRatio(float pixelRatio) |
| void | setGraphPositionQuery(const QPoint &point) |
| void | setPrimarySubViewport(const QRect &primarySubViewport) |
| void | setSecondarySubViewport(const QRect &secondarySubViewport) |
| void | setSecondarySubviewOnTop(bool isSecondaryOnTop) |
| void | setSelectionQueryPosition(const QPoint &point) |
| void | setSlicingActive(bool isSlicing) |
| QRect | viewport() const |
- 32 public functions inherited from QObject
Signals
| void | activeCameraChanged(Q3DCamera *camera) |
| void | activeLightChanged(Q3DLight *light) |
| void | devicePixelRatioChanged(float pixelRatio) |
| void | graphPositionQueryChanged(const QPoint &position) |
| void | primarySubViewportChanged(const QRect &subViewport) |
| void | secondarySubViewportChanged(const QRect &subViewport) |
| void | secondarySubviewOnTopChanged(bool isSecondaryOnTop) |
| void | selectionQueryPositionChanged(const QPoint &position) |
| void | slicingActiveChanged(bool isSlicingActive) |
| void | viewportChanged(const QRect &viewport) |
- 2 signals inherited from QObject
Static Public Members
| QPoint | invalidSelectionPoint() |
- 10 static public members inherited from QObject
Additional Inherited Members
- 1 public slot inherited from QObject
- 1 public variable inherited from QObject
- 9 protected functions inherited from QObject
- 2 protected variables inherited from QObject
Detailed Description
Q3DScene class provides description of the 3D scene being visualized.
The 3D scene contains a single active camera and a single active light source. Visualized data is assumed to be at a fixed location.
The 3D scene also keeps track of the viewport in which visualization rendering is done, the primary subviewport inside the viewport where the main 3D data visualization view resides and the secondary subviewport where the 2D sliced view of the data resides. The subviewports are by default resized by the Q3DScene. To override the resize behavior you need to listen to both viewportChanged() and slicingActiveChanged() signals and recalculate the subviewports accordingly.
Also the scene has flag for tracking if the secondary 2D slicing view is currently active or not.
Note: Not all visualizations support the secondary 2D slicing view.
Property Documentation
activeCamera : Q3DCamera *
This property holds the currently active camera in the 3D scene.
When a new Q3DCamera object is set, it is automatically added as child of the scene.
Access functions:
| Q3DCamera * | activeCamera() const |
| void | setActiveCamera(Q3DCamera *camera) |
Notifier signal:
| void | activeCameraChanged(Q3DCamera *camera) |
activeLight : Q3DLight *
This property holds the currently active light in the 3D scene.
When a new Q3DLight objects is set, it is automatically added as child of the scene.
Access functions:
| Q3DLight * | activeLight() const |
| void | setActiveLight(Q3DLight *light) |
Notifier signal:
| void | activeLightChanged(Q3DLight *light) |
devicePixelRatio : float
This property holds the device pixel ratio that is used when mapping input coordinates to pixel coordinates.
Access functions:
| float | devicePixelRatio() const |
| void | setDevicePixelRatio(float pixelRatio) |
Notifier signal:
| void | devicePixelRatioChanged(float pixelRatio) |
graphPositionQuery : QPoint
This property holds the coordinates for the user input that should be processed by the scene as a graph position query.
If this property is set to a value other than invalidSelectionPoint(), the graph tries to match a graph position to the specified coordinates within the primary viewport. After the rendering pass, this property is returned to its default state of invalidSelectionPoint(). The queried graph position can be read from the QAbstract3DGraph::queriedGraphPosition property after the next render pass.
There is no single correct 3D coordinate to match a particular screen position, so to be consistent, the queries are always done against the inner sides of an invisible box surrounding the graph.
Note: Bar graphs allow graph position queries only at the graph floor level.
Access functions:
| QPoint | graphPositionQuery() const |
| void | setGraphPositionQuery(const QPoint &point) |
Notifier signal:
| void | graphPositionQueryChanged(const QPoint &position) |
See also QAbstract3DGraph::queriedGraphPosition.
primarySubViewport : QRect
This property holds the current subviewport rectangle inside the viewport where the primary view of the data visualization is targeted.
If isSlicingActive() is false
, the primary sub viewport is equal to viewport(). If isSlicingActive() is true
and the primary sub viewport has not been explicitly set, it will be one fifth of viewport().
Note: Setting primarySubViewport larger than or outside of the viewport resizes the viewport accordingly.
Access functions:
| QRect | primarySubViewport() const |
| void | setPrimarySubViewport(const QRect &primarySubViewport) |
Notifier signal:
| void | primarySubViewportChanged(const QRect &subViewport) |
secondarySubViewport : QRect
This property holds the secondary viewport rectangle inside the viewport.
The secondary viewport is used for drawing the 2D slice view in some visualizations. If it has not been explicitly set, it will be equal to QRect. If isSlicingActive() is true
, it will be equal to viewport.
Note: If the secondary sub viewport is larger than or outside of the viewport, the viewport is resized accordingly.
Access functions:
| QRect | secondarySubViewport() const |
| void | setSecondarySubViewport(const QRect &secondarySubViewport) |
Notifier signal:
| void | secondarySubViewportChanged(const QRect &subViewport) |
secondarySubviewOnTop : bool
This property holds whether the 2D slicing view or the 3D view is drawn on top.
Access functions:
| bool | isSecondarySubviewOnTop() const |
| void | setSecondarySubviewOnTop(bool isSecondaryOnTop) |
Notifier signal:
| void | secondarySubviewOnTopChanged(bool isSecondaryOnTop) |
selectionQueryPosition : QPoint
This property holds the coordinates for the user input that should be processed by the scene as a selection.
If this property is set to a value other than invalidSelectionPoint(), the graph tries to select a data item, axis label, or a custom item at the specified coordinates within the primary viewport. After the rendering pass, the property is returned to its default state of invalidSelectionPoint().
Access functions:
| QPoint | selectionQueryPosition() const |
| void | setSelectionQueryPosition(const QPoint &point) |
Notifier signal:
| void | selectionQueryPositionChanged(const QPoint &position) |
See also QAbstract3DGraph::selectedElement.
slicingActive : bool
This property holds whether the 2D slicing view is currently active.
If true
, QAbstract3DGraph::selectionMode must have either QAbstract3DGraph::SelectionRow or QAbstract3DGraph::SelectionColumn set to a valid selection.
Note: Not all visualizations support the 2D slicing view.
Access functions:
| bool | isSlicingActive() const |
| void | setSlicingActive(bool isSlicing) |
Notifier signal:
| void | slicingActiveChanged(bool isSlicingActive) |
viewport : const QRect
This property holds a read only property that contains the current viewport rectangle where all the 3D rendering is targeted.
Access functions:
| QRect | viewport() const |
Notifier signal:
| void | viewportChanged(const QRect &viewport) |
Member Function Documentation
Q3DScene::Q3DScene(QObject *parent = Q_NULLPTR)
Constructs a basic scene with one light and one camera in it. An optional parent parameter can be given and is then passed to QObject constructor.
[virtual]
Q3DScene::~Q3DScene()
Destroys the 3D scene and all the objects contained within it.
[static]
QPoint Q3DScene::invalidSelectionPoint()
Returns a QPoint signifying an invalid selection position.
bool Q3DScene::isPointInPrimarySubView(const QPoint &point)
Returns whether the given point resides inside the primary subview or not. Returns true
if the point is inside the primary subview.
Note: If subviews are superimposed, and the given point resides inside both, result is true
only when the primary subview is on top.
bool Q3DScene::isPointInSecondarySubView(const QPoint &point)
Returns whether the given point resides inside the secondary subview or not. Returns true
if the point is inside the secondary subview.
Note: If subviews are superimposed, and the given point resides inside both, result is true
only when the secondary subview is on top.


statsmodels.stats.anova.anova_lm¶
-
statsmodels.stats.anova.
anova_lm
(*args, **kwargs)[source]¶ ANOVA table for one or more fitted linear models.
Parameters: args : fitted linear model results instance
One or more fitted linear models
scale : float
Estimate of variance, If None, will be estimated from the largest model. Default is None.
test : str {“F”, “Chisq”, “Cp”} or None
Test statistics to provide. Default is “F”.
typ : str or int {“I”,”II”,”III”} or {1,2,3}
The type of ANOVA test to perform. See notes.
robust : {None, “hc0”, “hc1”, “hc2”, “hc3”}
Use heteroscedasticity-corrected coefficient covariance matrix. If robust covariance is desired, it is recommended to use hc3.
Returns: anova : DataFrame
A DataFrame containing.
See also
model_results.compare_f_test
,model_results.compare_lm_test
Notes
Model statistics are given in the order of args. Models must have been fit using the formula api.
Examples
>>> import statsmodels.api as sm >>> from statsmodels.formula.api import ols >>> moore = sm.datasets.get_rdataset("Moore", "car", cache=True) # load >>> data = moore.data >>> data = data.rename(columns={"partner.status" : ... "partner_status"}) # make name pythonic >>> moore_lm = ols('conformity ~ C(fcategory, Sum)*C(partner_status, Sum)', ... data=data).fit() >>> table = sm.stats.anova_lm(moore_lm, typ=2) # Type 2 ANOVA DataFrame >>> print(table)


Our Services
Fundi Oncall is a market leader when it comes to providing handy services such as general repairs, installation, rennovation, construction and other handy services be it at homes or commercial buildings. We offer fast and quality services to clients within Nairobi County Fundi Oncall is a market leader when it comes to providing handy services such as general repairs, installation, rennovation, construction and other handy services be it at homes or commercial buildings. We offer fast and quality services to clients within Nairobi County


HEAD <<<<<<< HEAD
=======
>>>>>>> frontend =======
>>>>>>> frontend
Gutsy
Remember me
Login
Or login with
Facebook
Not registered?
Sign up now


Ploror688.github.io
Author and writing teacher Joseph Bates explains how to find your narrative voice Also known as 'the art of making things up,' creative writing is a vital part of modern society. This lesson will explore what makes writing. Finding Your Writer's Voice: A Guide to Creative Fiction Thaisa Frank, Dorothy Wall on Amazon.com. FREE shipping on qualifying offers. An illuminating guide. Writing, self-publishing, book marketing, making a living with your writing. Creative writing voice description - No fails with our top writing services. Proofreading and editing aid from best writers. Give your papers to the most talented. In literature, writing style is the manner of expressing thought in language characteristic of an individual, period, school, or nation. Thus, style
Our customizable Creative Writing Certificate program provides individualized guidance from experienced instructors who have published works in a variety of genres. The rules of writing. . their narrative voice will take care of . Writing Prompts is an excellent website full of creative writing resources I used this with my year 10 class during a creative writing unit. The aim is or students to EXPERIMENT with multiple narratives, voice and structure, The powerpoint. Narrative choices (creative writing) by rec208 - Teaching. Creative Writing MA Postgraduate Taught Study. D AD Creative Writing for Advertising courses. A first-person narrative is a mode of storytelling in which a narrator relays events from their own point of view using the first person Amazon.com: Voice Vision: A Creative Approach to Narrative Filmmaking<PHONE_NUMBER>986): Mick Hurbis-Cherrier: Books. Writing Narrative Endings - Young Teacher.
BBC - GCSE Bitesize: Narrator/Voice. Amazon.com: Voice Vision: A Creative Approach. Creative Writing Courses and Ideas: An Online Resource.
Programme structure MA Creative Writing students study 180 credits in total. This includes a 60 credit dissertation and 120 credits of optional modules.
An Approach to Creative Writing City, University of London. Oxford University's Master of Studies in Creative Writing is a two-year, part-time master's degree course offering a unique combination of high contact. Short Story Tips: 10 Ways to Improve Your Creative Writing. When creative writing, a strong narrative voice adds personality to the story. Explore the entire process of writing creative nonfiction, from brainstorming for the perfect idea to getting your final product noticed by literary agents. Fall 2018 - Saturday, October 20, 11:30 am-12:30 pm. This class has reached full capacity. Writing And Editing: Five Problems to Avoid in Your First. Here are hundreds of writing ideas, along with free tips and worksheets for writers. You can also sign up for our free online creative writing courses.
I have to be honest. Teaching writing is tough. Each year, I set out to build a community of writers, and it is no easy task. One of the toughest things First-person narrative - Wikipedia.
First person, second person, third person sounds like a party to me! Learn how to identify and use narrative voice in your own writing. Emory Certificate in Creative Writing Program Creative writing narrative voice. Writing Creative Non-Fiction The Great Courses.
Jerz Writing General Creative Writing Tips Poetry Fiction Writing short stories means beginning as close to the climax as possible -- everything. First, Second, and Third Person: How to Recognize Narrative writing is the most traditional form of creative writing: it’s telling a story. The trick to getting high marks is not to tell a story HSC Creative Writing - A strong narrative voice
Creative writing finding a voice - Naimakka. The Purdue University Online Writing Lab serves writers from around the world and the Purdue University Writing Lab helps writers on Purdue's campus.
Free online creative writing course, covering releasing your creativity, how to write a short story, writing from a point of view, bringing your writing
D AD Masterclasses power up careers and future-proof businesses by focusing on the creative skills of tomorrow, taught by the stars of today. Delivered online. MSt in Creative Writing Oxford University Department. Creative Writing Narrative Voice — How to find the right. Finding Your Writer's Voice: A Guide to Creative Fiction. What is Creative Writing? - Definition, Types Examples.
Register now for Sci-Fi Fantasy Writing - Salesforce.com. Writing Your Business Narrative - The Daily. This popular course provides a firm footing in the fundamentals of creative writing. Learn from professionals how to develop a story and gain the confidence to write. At this point, all you really need to know about narrative voice is that there are two types of voice: first and third. though it is still seen in modern writing. Types of Narrative Voice – The Writing Manual. Creative writing finding a voice - find key tips as to how to receive the greatest essay ever 100% non-plagiarism guarantee of unique essays papers. Cooperate.  Creative writing voice description OHMYHOME.
Hi, Great post. However, I feel that “Name Your Business” should not be on top of this list. Ideally after the sixth point. I think it would make more sense. Creative writing in the classroom:


MY MUSIC
Refine: Date added, All
genres
Shuffle all
Not finding everything?
Show us where to look for music


This website, for the moment, is a very simple, somewhat contrived web app that allows you to price out a basic stereo system, choosing from a libray of components or ones that you create yourself. Click on the links above to view an index of existing stereo profile, create your own stereo profile, or view a list of existing stereo components.


The SegmentBuffers
Overview
The core/segment_buffers
directory contains the part of the code directly
related to the insertion and removal of media segments to a buffer for later
decoding.
This is either done through native SourceBuffers
, which are JavaScript objects
implemented by the browser or a custom buffer implementation entirely defined
in the code of the RxPlayer.
The interface through which the RxPlayer’s code push segment is called the
SegmentBuffer
, it comes on top of the buffer implementation (regardless if it
comes from native SourceBuffer
objects or if it is a custom one).
A SegmentBuffer
is defined for a type of media (e.g. “video”, “audio”,
“text”…) they are defined in the src/core/segment_buffers/implementations
directory.
Here’s a simplified architecture schema of the code in that directory:
+--------------------------------------------------------------------------+
| Rest of the RxPlayer's code |
+--------------------------------------------------------------------------+
| ^
Ask to get / create / remove | | Returns created SegmentBuffer or
SegmentBuffer for a given type | | wanted information
or get information about the | |
available types | |
| |
V |
+--------------------------------------------------------------------------+
| SegmentBuffersStore |
+--------------------------------------------------------------------------+
| | | |
| creates | creates | creates | creates
| (if needed) | (if needed) | (if needed) | (if needed)
| | | |
V V V V
+-------------+ +-------------+ +-------------+ +-------------+
| AudioVideo | | AudioVideo | | | | |
|SegmentBuffer| |SegmentBuffer| | Text | | Image |
| (video) | | (audio) | |SegmentBuffer| |SegmentBuffer|
| | | | | | | |
+-------------+ +-------------+ +-------------+ +-------------+
Uses both Uses both Uses Uses
| | | | | |
| | | | | |
V V V V V V
+-----+ +-----+ +-----+ +-----+ +-----+ +-----+
| SI* | | SB* | | SI* | | SB* | | SI* | | SI* |
+-----+ +-----+ +-----+ +-----+ +-----+ +-----+
SI*: SegmentInventory. Store the metadata on every segments currently
available in the associated media buffer.
SB*: SourceBuffer (browser implementation of a media buffer).
SegmentBuffersStore
The SegmentBuffersStore
is the main export from there.
It facilitates the creation and destruction of these SegmentBuffers
.
Its roles are to:
-
announce which types of
SegmentBuffer
can be currently created on the HTMLMediaElement (example of a type of buffer would be “audio”, “video” or “text”).For example, no “video”
SegmentBuffer
should be created on an<audio>
element (though it wouldn’t cause any problem, it would be useless as video cannot be rendered here). To give another example, you should not create a “text”SegmentBuffer
if no text track parser has been added to the RxPlayer. -
Create only one
SegmentBuffer
instance per type of buffer.Multiple
SegmentBuffer
for a single type could lead to browser issues and to conflicts in the RxPlayer code. -
Provide a synchronization mechanism to announce when all
SourceBuffers
are ready to receive segments.I’ll explain:
SourceBuffers
are browser implementations for media data buffers. They typically are used by the “video” and “audio”SegmentBuffer
.Among several other constraints, all
SourceBuffers
needed to play a given content should be created before we can start pushing segments to any of them. This is a browser limitation.This is where this synchronization mechanism can become useful. The
SegmentBuffersStore
will signal when all of theSourceBuffers
needed for the given contents are created, so that the rest of the RxPlayer knows when it can begin to push segments to those.Note that this means that
SourceBuffers
for an un-needed type (e.g. an audio content won’t need a videoSourceBuffer
) have to be explicitely “disabled” here, as theSegmentBuffersStore
cannot know whether it should wait until thoseSourceBuffers
are created of if you just don’t need it.
SegmentBuffers implementations
A SegmentBuffer
is an Object maintaining a media buffer for a given type (e.g.
“audio”, “video”, “text” etc.) used for later decoding.
There exists several SegmentBuffer
implementations in the RxPlayer’s code
depending on the type concerned.
An implementation takes the form of a class with a well-defined API shared with
every other implementations. It allows to push segments, remove data and
retrieve information about the data that is contained within it.
At its core, it can either rely on a browser-defined SourceBuffer
Object or
can be entirely defined in the code of the RxPlayer.
A SegmentBuffer
also keeps an inventory containing the metadata of all
segments currently contained in it, with the help of a SegmentInventory
Object (see corresponding chapter).
It is the main interface the rest of the RxPlayer code has with media buffers.
BufferGarbageCollector
The BufferGarbageCollector
is a function used by the RxPlayer to
periodically perform “garbage collection” manually on a given
SegmentBuffer
.
It is based on the following building bricks:
-
A clock, which is an observable emitting the current time (in seconds) when the garbage collection task should be performed
-
The
SegmentBuffer
on which the garbage collection task should run -
The maximum time margin authorized for the buffer behind the current position
-
The maximum time margin authorized for the buffer ahead of the current position
Basically, each times the given clock ticks, the BufferGarbageCollector will ensure that the volume of data before and ahead of the current position does not grow into a larger value than what is configured.
For now, its code is completely decoupled for the rest of the code in that directory. This is why it is not included in the schema included on the top of this page.
The SegmentInventory
The SegmentInventory
keeps track of which segments are currently bufferized
to avoid unnecessary re-downloads.
You can have more information on it in the SegmentInventory documentation.


Options
Tab
There are several options you can use to control the way TeamDrive works.
These are location on the Options
tab.
Status Monitor Settings
Use these to control when the status monitor appears. The choices
are:
- On errors only
- When necessary
- Always
The When necessary option
will show the status monitor when the computer is waiting for a file
to be downloaded. The Always
options will show the status monitor whenever there is any activity
on the connection.
Proxy
Settings
TeamDrive will normally detect and configure any necessary
parameters for proxies or firewalls. However, this can take a little
time and there are cases that cannot be handled automatically. This
options allows you to set the proxies settings manually.
When
first installed, all protocols will be set to Auto-detect
on connection. Once a connection has been made, it will
be set to either Direct connection, no
proxy or the actual proxy address.
To set a proxy
address manually, click the checkbox until a solid checkmark appears
and then enter the proxy address. If you would like to have
TeamDrive run the auto-detect again, click the checkbox until a gray
checkmark appears.
ZoneAlarm Configuration
If you are using ZoneAlarm you will need to make few extra configuration steps to let TeamDrive work with this firewall.
Normally ZoneAlarm blocks low-level access to the remote servers. To let TeamDrive access a server you should add it to the list of permitted servers in ZoneAlarm. To do this, follow these steps:
- Open main window of ZoneAlarm and select Security tab.
- Click the Advanced button. ZoneAlarm Pro users: select
LocalZone Contents tab.
- Click the Add button and select
Host/Site.
- Enter a description and the host name of the server you want to access with TeamDrive. For example, if you wanted to access
MyDocsOnline you would enter webfolders.mydocsonline.com as a host name.
To enable access to a server on your LAN you may select IP Address option and enter the IP address, for example <IP_ADDRESS>.
Miscellaneous Settings
The Open Explorer window after
connection check box is on by default. If you do not want
the Explorer window to appear each time, uncheck this box.
Cache Settings
TeamDrive caches files and directory listings on the local hard
drive for faster access and for Offline work. For best performance,
set the Cache size to at least
as large as all the files you normally access with TeamDrive.
Sometimes you might want to clear the cache so that your next
directory listing is up-to-date or so TeamDrive will download a
recently changed file. You might also want to free up some space on
the local drive. For this, use the buttons Clear
Cached Files and Clear Cached
Directories.


I am a white middle class guy who could easily pass as a straight man. Being in that position has many advantages. I don't have to experience any sort of potential discrimination, because when I sense I'm in a homophobic crowd, I can easily sneak through the conversation, undetected and un-outed. I become an imposter when needed.
I work in a mainly straight tech-ish environment. When asked, I'm sure most everyone there would vocalize their support of LGBT rights and lifestyles, but that vocalization is often overlooked or forgotten in everyday conversation. When I first started working there, I was presumed to be a straight guy. I was thrusted into a 'straight bro' context, expected to discuss my straightness with (most of) my male and female peers alike. When I first joined the team, I felt pressured to fit in. In most social situations I try to avoid hopping into imposter mode as much as I can, but in an environment where your appearance matters and perceptions of you are important, being a fresh face in a new job, I couldn't help but use my 'straightness' as a defense mechanism.
When lying about yourself (or even shielding others from the truth with silence) seems like a necessary step towards social acceptance, whether it be in the workplace or otherwise, something is wrong. Perhaps I could be overthinking it. Perhaps I should have just been myself to my peers right away and resisted the pressure of being a straight guy. But being different, especially in a context where fitting in is so important, can be detrimental, regardless of any vocalized acceptance of a marginalized (or once marginalized) group. You become defined by your differences rather than your similarities. I've seen it happen, and sadly, sometimes that risk cannot be immediately taken.
I grew up in a religious and conservative town, where I became awfully good about keeping parts of myself private. Looking back now, I realize just how incredibly damaging that guarding can be. It's easy to do in the moment but incredibly painful to think about after the fact.
As the months flew by in the job I'm about to quit to leave DBC, I became more confortable expressing my true thoughts with my peers. But by that time, I had already been established as a valuable employee. I regret that I felt such pressure to fit in. I regret that I gave in to that pressure. And everytime I continue to shield a part of myself from normal conversation in an attempt to 'fit in', it stings.
What exites me most about DBC is that there seems to be a very open dialogue about who we are as people, not just programmers. I intend to take full advantage of this fact. When we are open emotionally with one another, we can work better as a team. With nothing to hide, there's much less to lose.
I feel grateful in knowing that being gay is becoming an accepted part of worklife culture. San Francisco is ahead of the bell curve when it comes to social matters, and as I continue to live here, I recognize that these 'issues' have been fading away as people continue to think about who they are, their insecurities, in relation to others. But I still have some work to do about resiting the urge to hide myself, and I hope that, as we work together, we won't need to find a hiding place.
Back to Top