A channel to discuss trading.
Vertigo05-Jun-19 03:00 AM
Plain text in Google docs?
Tek05-Jun-19 03:00 AM
I mean ETH got hacked a few times
but not for millons a month.
Alexfrog05-Jun-19 03:00 AM
ETH got hacked for real once when the DAO happened
Tek05-Jun-19 03:00 AM
^ yeah that was a real hackening
tfw its getting light, ive been up all night
and my kmd fundus are not yet confirmed
Vertigo05-Jun-19 03:01 AM
But not kmd for f sakes we are the delayed proof of work security Sherman tank
actionslacks05-Jun-19 03:01 AM
or the guy that orphaned a bunch with a smart contract error
Vertigo05-Jun-19 03:02 AM
Was that ETH or EOS?
actionslacks05-Jun-19 03:02 AM
it was eth. eos is it's own dumpster fire
Alecandro05-Jun-19 03:04 AM
Well we are going back up now, everyone calm down
actionslacks05-Jun-19 03:04 AM
we'll see what happened.
Need to know where to dump the bootstrap
CHMEX05-Jun-19 03:08 AM
yes same storage location
C:\Users\USERNAME\AppData\Roaming\Komodo\BEER
on windows
.komodo/BEER
on unix
Tek05-Jun-19 03:10 AM
I think that CSW has trading bots on a lot of big caps alts
that try to trade the price down
this action on BCH is just weird
some 100 btc sell order pops up and pushes down. the moment there's a decently sized counter off at the buy side it quickly dissapears
lmao the 0k bch buyer just bought 1000 BCH from that bot
7k*
actionslacks05-Jun-19 03:13 AM
watch kmd moon now.

차미숙05-Jun-19 03:16 AM
Chill man hacking news in crypto is like daily thing
I have seen so many
actionslacks05-Jun-19 03:17 AM
it's not a hack yet as far as we know, just a vulnerability
bishop05-Jun-19 03:17 AM
No one knows anything, we're all speculating
차미숙05-Jun-19 03:18 AM
All we know is satoshi is a drug boss
Alecandro05-Jun-19 03:18 AM
Yea exactly. Was very urgent, but could just be the teams effort to help keep a vulnerability turning into something worse
Tek05-Jun-19 03:18 AM
so you don't know what a pipeline is?
holy shit man
muh great tech
im trying to figure out how KMD develops. since you boast about "Muh we so decentralized" the only optoin I could think of to work together on this effectively is building a pipeline on amazon.
siu - Chainmakers05-Jun-19 03:19 AM
is there any report of stolen funds?
dukeleto05-Jun-19 03:19 AM
none that I have heard
bishop05-Jun-19 03:19 AM
@Tek have you been on github?

Tek05-Jun-19 03:20 AM
but if you don't even know what a pipeline is
dukeleto05-Jun-19 03:20 AM
@Tek we use mostly bare metal but there are no rules for notaries
Tek05-Jun-19 03:20 AM
as notaary operatir
dukeleto05-Jun-19 03:21 AM
There are no rules for notaries, but most use bare metal
Tek05-Jun-19 03:21 AM
I didn't have to switch carreers I just quit my job
dukeleto05-Jun-19 03:21 AM
some use $5 DO droplets
Tek05-Jun-19 03:21 AM
but you don't have a pipeline?
dukeleto05-Jun-19 03:21 AM
@Tek that word has many definitions across industries
Tek05-Jun-19 03:21 AM
lke. automatic deploy testing
dukeleto05-Jun-19 03:21 AM
what exactly do you mean
ah, ok
Tek05-Jun-19 03:21 AM
complete pipeline
dukeleto05-Jun-19 03:21 AM
yes, we have Travis CI
we don't have Continuous Deployment
we have Continuous Integration and builds, tho
Tek05-Jun-19 03:22 AM
oh ok
dukeleto05-Jun-19 03:22 AM
CD in blockchain world is like dancing on knives
Tek05-Jun-19 03:22 AM
yes
dukeleto05-Jun-19 03:22 AM
lulz
it could be that when our tests pass all KMD servers are auto-updated, that is CD
and it's also very scary
Tek05-Jun-19 03:23 AM
obviously you just deploy to testnet autoamtically
then you share the binaries with the actual network
dukeleto05-Jun-19 03:23 AM
testnets are for coins that can't make coins effortlessly, in KMD world we make test chains
차미숙05-Jun-19 03:23 AM
Why is kmd is not dropping
dukeleto05-Jun-19 03:23 AM
@차미숙 because nobody can figure out their wallets yet
bishop05-Jun-19 03:23 AM
probably confirms
차미숙05-Jun-19 03:23 AM
Can you guys dump to 1 satoshi
I can buy
actionslacks05-Jun-19 03:24 AM
because nothing is real in crypto world
dukeleto05-Jun-19 03:24 AM
I see it dumped 1k sat, but that isn't much when it's over 20k
bishop05-Jun-19 03:24 AM
FICTIONAL CHARACTERS
Alecandro05-Jun-19 03:24 AM
Yea maybe not everyone is trying to sell haha. A lot of people probably just want to move their coins


Hello world was my first project bywhich i created during my first learning coding in moringa school. hello world. it was a great and self fulfilling creating the project
cookie-recipe cookie-recipe was forking. what is forking? This is whereby one is able to apply changes to someone else' project and impement his own ideas without affecting the main project
my-first-website. This was was my first ever website that i did.it was about coding and the things i am going to learn ahead.
my name is xystus,male in my teen. I finished my International General Certificate of Secondary Education (IGCSE) in 2018 in elite school.
No matter how hard you work at your craft and no matter how successful you become, people just have to find something negative to hang on you. The bar is always being raised as you go. The rules are always being rewritten. There is aggravation that comes with that, but that is a part of what makes triumph so sweet. Charles Barkley. i love basketball.it is a game whickh is fun and has principals.its a game with respect and history
Coding is a basic literacy in the digital age, and it is important for kids to understand and be able to work with and understand the technology around them. Having children learn coding at a young age prepares them for the future. Coding helps children with communication, creativity, math,writing, and confidence.This cresated my intrest in learning coding and programming in moringa the world is changing an we justhave to change with it.
for me i dont have a unique skill.But i would say observing is my skill


MAGIC
Etch A Sketch
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The {@link org.htmlparser.http.ConnectionManager} class adds
The {@link org.htmlparser.http.ConnectionMonitor} interface is a callback mechanism for the ConnectionManager to notify an interested application when an HTTP connection is made. Example uses may include conditioning the connection further, accessing HTTP header information, or providing reporting or statistical functions. Callbacks are not performed for FileURLConnections, which are also handled by the connection manager.
The {@link org.htmlparser.http.Cookie} class is a container for cookie data received and sent in HTTP requests and responses. It may be necessary to prime the ConnectionManager with cookies received via a login procedure in order to access protected HTML content.
A typical use of this package, might look something like this:
ConnectionManager manager = Parser.getConnectionManager (); // set up proxying manager.setProxyHost ("proxyhost.mycompany.com"); manager.setProxyPort (8888); manager.setProxyUser ("FredBarnes"); manager.setProxyPassword ("secret"); // set up cookies Cookie cookie = new Cookie ("USER", "FreddyBaby"); manager.setCookie (cookie, "www.freshmeat.net"); cookie = new Cookie ("PHPSESSID", "e5dbeb6152e70d99427f2458d8969f8b"); cookie.setDomain (".freshmeat.net"); manager.setCookie (cookie, null); // set up security to access a password protected URL manager.setUser ("FredB"); manager.setPassword ("holy$cow"); // set up an inner class for callbacks ConnectionMonitor monitor = new ConnectionMonitor () { public void preConnect (HttpURLConnection connection) { System.out.println (ConnectionManager.getRequestHeader (connection)); } public void postConnect (HttpURLConnection connection) { System.out.println (ConnectionManager.getResponseHeader (connection)); } }; manager.setMonitor (monitor); // perform the connection Parser parser = new Parser ("http://frehmeat.net");The ConnectionManager used by the Parser class is actually held by the {@link org.htmlparser.lexer.Page#mConnectionManager Page} class. It is accessible from the Parser (or the Page class) via {@link org.htmlparser.Parser#getConnectionManager getConnectionManager()}. It is a static (singleton) instance so that subsequent connections made by the parser will use the contents of the cookie jar from previous connections. By default, cookie processing is not enabled. It can be enabled by either setting a cookie or using {@link org.htmlparser.http.ConnectionManager#setCookieProcessingEnabled setCookieProcessingEnabled()}.


H1B
The H1B visa is a non-immigrant visa that allows companies in the US to hire graduate-level workers in specialty occupations that require theoretical or technical expertise in specialized fields.
Requirements
- A bachelor’s degree.
- Job offer from a company within the United States for a specialty position that matches your degree.
Why is H1B Popular?
- For a company in the US, applying for H1B is generally quicker than applying for a US Green Card, so it is popular when they want to bring in an employee for a longer period.
- H1B is open to nationals and citizens of any country, as opposed to other visa types that are only open to people with certain countries of citizenship.
- H1B allows holders to stay for three years initially and can be easily extended to three more years after the first term.
- H1B allows holders to move their status from one company to another and also allows its holders to work part-time and work for multiple employers at the same time.
- The main benefit of H1B that attracts a large volume of applicants is the fact that it is a dual intent visa. This means that it allows its holders to seek permanent residency while under the H1B nonimmigrant status.
Caveats
Despite having a lot of advantages, applying for the H1B comes with its own set of caveats or disadvantages.
- The biggest drawback of H1B is the fact that there is a limit on the number of petitions that are approved each year. Because of the large number of petitions each year, the USCIS has chosen to have all petitions entered into a lottery. Through this an annual general cap of 65,000 in first, and then run the remaining in the master’s-and-above 20,000 categories. This means there is a strong likelihood that for any given year, your petition will not be selected. Once rejected, you will have to wait another year to submit another petition.
- Because of its lottery, the deadlines for the H1B applications are very inflexible.
- It is difficult to find an employer that would be willing to sponsor an employee for H1B, as the process can get expensive and is unreliable.
H1B Historic Timeline
The timeline of relevant events is listed above. Sources for this information are from the New York times, government official documents from USCIS (U.S. Citizenship and Immigration Services).
Exploration
Purpose
The main purpose of our exploration was to examine and recognize the trends in H1B Visa and see how data-related jobs in the United States have changed over the past 5 years.
Dataset
To perform this analysis, we combined data sets of 5 different years from 2014 to 2018.
| Column Name | Column Description |
|---|---|
| job_title Job | title of the particular H1B application. |
| case_status | Certified-withdrawn; Certified; Denied; Withdrawn; Rejected; Invalidated- we filter this data by certified as we only wish to keep the applications that were approved to be submitted. |
| employer_name | Employer through which the H1B application was submitted. |
| prevailing_wage | The annual salary of the job in a particular observation. |
| year | Year the particular H1B application was submitted. |
| worksite | Location of the worksite. |
| lon | Longitudinal location of the worksite. |
| lat | Latitudinal location of the worksite. |
| data_relation | If the job title is data-related, then this will have “data-related” else “undefined. |
| data_job_title | This will be used to classify the data-related job titles into 4 different categories of business analysts, data analysts, data engineers, and data scientists. |
| stem | This is supposed to classify the h1b application into STEM or non-STEM based on another dataset to recognize its classification. |
| soc_code | SOC is a federal statistical standard used by federal agencies to classify workers into occupational categories to collect, calculate, or disseminate data. |
Number of Applications Per State
We wanted to look at how the number of applications differed per state over the course of the last 5 years. Here we can see that the states of California, Texas, New York, Michigan, Georgia, Pennsylvania, Florida, and Illinois are the states with the highest number of applications. The number of applicants is seen to increase over time (from 2015 to 2017) for Washington, Virginia and North Carolina. States that have the lowest number of applicants are Montana, Wyoming and South Dakota.
STEM
Instead of doing an overview of the actual data, we thought it to be better to first filter by STEM (Science, Technology, Engineering, and Management) related jobs. It was expected that the majority of the applications would be coming from STEM, but a confirmation was needed.
The following analysis was done to see the proportion of applicants for H1B that were in STEM fields vs non-STEM fields. This was done using the SOC (Standard Occupational Classification) code associated with educational background. This was then cross-referenced (left-join) with a list of SOC codes that were considered to be STEM . We combined this with our analysis of the number of applicants per year as a sum just to see if some trends had changed.
We observed (from Figure. 2) that the number of applications stays high as compared to the yearly cap of 85,000 applications that get approved. The number of applications also keeps increasing each year with only a slight dip in 2017. The changes in the total number of applications don’t seem to affect the proportion of STEM to non-STEM applications each year. This is also very interesting to note as the number of non-STEM jobs available in the United States is much higher than the number of STEM jobs.
This disproportionately high number might be attributed to the fact that foreign students with STEM degrees are more likely to pursue STEM fields. The reason for this is that USCIS allows foreign students who pursue a STEM degree during their academic career to stay within the United States for up to three years after they have graduated as opposed to a single year for those of non-STEM backgrounds. This means that during those 3 years, you will have three chances to apply for an H1B and would potentially be eligible to apply for permanent residency.
Another reason why international students might want to pursue STEM would be the prevailing wages for STEM and non-STEM jobs.
The medians of the prevailing wages of the STEM and non-STEM jobs have gotten wider apart but the median for the STEM is always higher than the non-STEM (Figure. 3). In 2018, we see the gap between the two to appear to be the widest.
It is visible from the density plot of the wage distribution of the year 2018 that the wages of the STEM jobs in 2018 are not only higher but the distribution is also tighter as compared to the distribution for the non-STEM jobs.
Top Jobs In STEM in 2018
What naturally followed after this was an analysis of what these STEM jobs were, to gain an understanding of why so many foreign students were attracted to them (Figure 5). Software developer and software engineer positions seem to be the top two jobs with the highest number of applications. This might be attributed to the tech boom of the last 5 years, which has greatly increased the demand for software developers.
Following right after are business analyst and programmer analyst positions. It is important to note that approximately 10 out of these 20 jobs could be associated with data-related jobs. Even if they were not explicitly mentioned as a data-related job, they have, in their job description, data-related roles.
After recognizing the number of data-related jobs within the top 20 job titles in the last year, the next step was to break down what these data-related roles were and if we could combine them and/or break them down based on how complex we wanted our analysis to be.
Data Related Jobs Trends
We created four categories of data-related jobs for this analysis. This categorization was based on the keywords in the job titles.
| Data Job Title | Associated Keywords |
|---|---|
| Business Analyst | “Business Intelligence” |
| Data Analyst | “EDA”, “Visualization”, “Data aggregation” |
| Data Scientist | “Machine learning”, “Model”, “Algorithm”, “A/B testing” |
| Data Engineer | “Pipeline”, “Data lake”, “ETL”, “Database”, “Warehouse” |
We combined machine learning and deep learning jobs into data science jobs, as they are highly correlated and it also made the following visualizations easier to look at. Since these data points were essentially just combined with another category, we need to note that the number of machine learning/deep learning jobs (with those explicit keywords as titles) have remained very few.
Two important things to notice here (Figure 6). Firstly, the total number of jobs for business analysts is much higher than the total number of jobs for other roles. There also seems to be a downward trend in the number of jobs for business analysts after 2016; however, the number of jobs within business analytics remains much higher than the number of jobs in any of the other categories in any of the years. Secondly, the number of jobs for data scientists, analysts and engineers are all showing an upward trend. There appears to be a higher number of jobs for data analysts as compared to data scientists and data engineers. A reason for this is that the role of data scientists only emerged recently and the number of jobs available in the industry has just recently, in the past couple of years, started growing.
Prevailing Wages Per Data Related Job Category
From the prevailing wages for the different categories that we have established, we see that the median salary (from Figure 7) for a data scientist is a lot higher for the median salary for the business analyst. This coincides with our earlier analysis when we saw that the number of applications for H1B is a lot higher than the number of job applications from a data scientist or analyst role. The higher number of jobs and lower salaries make it a good option for someone within data science to use that as an opportunity to get into the industry.
To get a general trend of what was going on in the industry for data-related roles, we look at five companies with the highest number of applications in the years 2014 to 2017 (Fig. 8). We notice here that despite expecting the highest number of applications to come from tech companies, it comes from 3 consulting firms and two tech companies.
The company Infosys showed a very steep downward trend and also had the highest number of H1B applications in the year 2014 which was on a completely different scale as compared to other similar companies (Fig. 9). This drew the attention of our analysis because it was a highly abnormal trend, but upon deeper examination, it revealed a precautionary tale for foreign students trying to get jobs in the United States.
Story Behind Infosys
In 2013, Infosys agreed to pay $34 million to settle a lawsuit against them which claimed they were involved in fraud and abuse of the immigration process in the United States . Infosys brought foreign nationals into the country on visa types that are not authorized for employment in the United States. This means that the company was involved in fraudulent activity. The USCIS has been stricter on companies like Infosys (Wipro, Tata) because they have a history of trying to go around the system and abusing it to employ cheap labor. The denial rate for these companies has been extremely high and can be seen to effectively reduce the total number of applications submitted through them over the course of the last 5 years.
Top Tech Companies
A natural assumption for someone entering the market as a data scientist would be that the top tech companies have the highest number of jobs for data-related roles. We examine the top tech giants that are
There is a general upward trend to the number of data-related jobs for all tech companies, with Google hiring the least number of people within data-related capacities and Amazon hiring the most. While most companies are showing an upward trend, IBM shows a decreasing trend from 2015 to 2017.
| a) Microsoft | b) Google |
| c) Facebook | d) Amazon |
Figure 11: Trends in data some of the top tech companies
All of the tech companies show an increasing trend in the data-related. However, there are two companies that draw our attention. Google (Fig 11 (b)) has a much lower number of data-related jobs as compared to the other companies. This might be attributed to the fact that some jobs might have data-related roles even if they don’t have data-related titles. But overall, Google has very few explicit data roles and thus fewer opportunities for international students.
Another trend of interest is that of Amazon (Fig 11 (d)) which sees a decrease in the number of applications for data-related roles after the year 2017. This might be attributed to stricter H1B regulations implemented under Trump’s administration and also could be attributed to data scientist jobs doing jobs of data scientists.
IBM
IBM H1B petitions see an overall decrease after the year 2017 (Fig 12 (a)). This is because of how Trump’s administration has affected the H1B denial rates. We can see that IBM has an increasing denial rate that is not like those of tech firms. This can be attributed to the fact that IBM is not a traditional tech firm; it provides a lot of consulting services. Due to a stricter review, the H1B application process involves providing more information about the type of exact work a company is involved in, the projects and the subcontractors. This hinders non-tech companies from hiring more international students as it will be both expensive and cumbersome. These companies would rather hire US citizens with the same skills if they can avoid it and most of the time, a foreign employee can be replaced with a US citizen.
This downward trend is probably linked to IBM’s consulting sector combined with stricter government regulations . Despite this trend, the number of applications for specific data-related roles in IBM (Fig 12 (b)) seems to be unaffected by this downward trend.
Other Consulting Companies
It would make sense that other consulting or non-tech companies should show trends similar to that of IBM with a decreasing number of applications. And this can be seen in both Deloitte and Accenture (Fig. 13 (a) and (b). Even though Deloitte has been a major employer for data-related roles in the past 5 years, it has shown a sharp decrease in these roles after 2016 (Fig 13 (a)). This decline started before President Trump’s election around 2015, when stricter regulations were implemented on working offsite on H1B.
| a) Deloitte Consulting | b) Accenture Consulting |
Figure 13: Consulting companies and the trends in data-related roles
The worksite regulations implemented in 2015 can cause problems for consulting companies as a lot of consulting work may be off-site in another city and not in the official workplace. Also, consulting companies that deal with U.S. Federal Government might not hire international students as the work might require the workers to be U.S. citizens.
Locations for Data-Related Jobs
Nationwide Overview
This is an incomplete but interesting cartographic analysis (Fig. 14). The first thing we can see from here, however, is that the most number of applications in data-related roles are coming from (starting from the west coast to east) Washington, California, Texas, Illinois, Atlanta, Florida, New York, New Jersey, and Massachusetts.
Just because the colors seem similar for certain states in this diagram, does not mean that the numbers of data-related H1B applications are the same. They belong to the same interval or above a certain threshold. The numbers for the major states are as follows:
- California - 7,417 applications
- New York - 2516 applications
- Washington - 1428 applications
- Texas - 2499 applications
- New Jersey - 2007 applications
- Massachusetts - 1570 applications
Wyoming and Montana have 2 and 5 H1B applications, respectively, in 2018. This indicates that these would be the worst states to apply for data-related jobs.
Upon taking a deeper look at the different jobs and the top states for those jobs, we can see how the number of applications for the data-related roles is being distributed among the top states. What is interesting to note here is that the Business Analyst role is higher for almost all states except for the state of Michigan where the Data Analyst applications are higher than the Business Analyst applications. We can see the majority of Data Scientist applications are coming from California while Washington and New York follow right after.
Regions of the United States
Figure 16: 1 Point = 1 City. Color = Data position with the highest number of jobs in that city
To find where would be best to apply based on the type of data role, a deeper analysis is needed into what cities would be best to apply to, based on the number of proportions of jobs available for each of the data roles. In Figure 16, each point is a city and the color of the city is given by what data-position provided the majority of the application in 2017 and 2018. Using two years for the analysis instead of one is better as it provides a better picture of the data-related jobs. We can see lots of blue clusters forming on the east coast, while some black clusters forming in Michigan and more of a variety of colors in California in the Bay Area and Washington.
The Western United States
The Western United States has two main states of interest for data-related roles, Washington and California.
Washington has a significant amount of data-related roles with Seattle having a majority of Business Analyst applications and Redmond (red circle) has a higher number of data scientists. This may be because of the Amazon and Microsoft headquarters being located in Seattle and Redmond.
If pursuing a data scientist role or job title, state of California seems to have the most variety and also the highest number of applications for H1B applications for that role (668 H1B applications). The big red circles show that a large number of data scientists applied for H1B from the bay area (San Jose, San Francisco, and Oakland). This makes complete sense because of the presence of Silicon Valley, where most of the headquarters for tech companies are located, and the recent boom in data science jobs in the tech industry (cite).
The Northeastern United States
We see four main clusters on this map. Boston, New York, Philadelphia, and Washington DC. The majority of these clusters are blue as northeast has a relatively large number of finance and insurance companies (+ 22.7% relative as compared to other places in the United States) , and these companies have a large number of business analyst or data analytics positions as compared to other roles. The existence of some black clusters is an indication of this industry requiring data analysts.
The Midwestern United States
The midwest shows relatively more black clusters as compared to any other region. There is a large black cluster in the state of Michigan indicating a significant number of data analyst positions, in Detroit. And a large blue cluster in Chicago indicating a large number of business analyst positions.
State of Tennessee
The final and most important analysis, relevant to the authors of this paper and the potential individuals reading it, is an analysis of the data-related job market for international students, using H1B, in the state of Tennessee.
There are two major cities where you find the biggest clusters for data-related roles: Nashville and Memphis. Both these cities have applications mainly for business analytics. We can see some sprinkles of data analyst roles in other parts of the state, with one small dot representing data science applications around the Oak Ridge area. This is from an employer named Oak Ridge National Laboratory and they hire data scientists for the work and research that they perform.
This does not make Tennessee the best state for foreign students who are pursuing data science; however, growth in data science jobs is projected over the next few years, due to tech companies moving to Tennessee.
Figure 13 shows that there has been a growth in data-related roles in the past 5 years, with 2018 showing the highest number of applications for data-related roles in the year 2018. This is promising, as it will mean a higher number of data-related roles that will hire and sponsor international students in the years to come.
Conclusions
To reiterate, the purpose of this data exploration was to examine and recognize the trends in H1B visa applications and see how data-related jobs in the United States have changed over the past 5 years. This analysis can be used to assist international students in pursuing a data-related degree in determining what type of jobs they should apply for and where they should be considering moving to in the future if they wanted to stay within the United States.
We can gather from our analysis that among the four data-related job titles that we divided our dataset into (business analyst, data analyst, data engineers and data scientists), the highest number of jobs are available for the business analyst job title or job classifications. We also note that the salary for this job role is much lower as compared to the other data-related jobs. The barrier to entry for data scientists, for this specific role, might be a lot lower as compared to other roles. This is because there are a lot of jobs for data scientists, and potential employers would be more open to hiring data scientists from business backgrounds, as they would be able to perform well in roles associated with business analytics.
In terms of what type of company data scientists should apply for, we find that some big companies such as Google and Apple (shown in the final-report.Rmd), have fewer data-related jobs for international students despite being major tech companies. However, there does seem to be an upward trend in data-related jobs in the tech industry.
We can also see those consulting companies are harder to get jobs in for data-related roles, as they are more affected by governmental regulations and policies. These positions may be limited to U.S. citizens or permanent residents. It is also cheaper for these companies to hire non-foreign workers, as consulting roles are not as profitable as purely technical roles and therefore may not need extremely specialized foreign talent (for those companies).
The location analysis will help international students pursuing a data-related degree, to find the most probable location they should move to based on the type of data-related role they want to pursue. The best location to find a job in business analytics is in the northeastern states as they have a large number of finance and insurance companies. However, there is no shortage of business analytics roles, since these are very commonly found in almost every company. So almost every state has a large number of these roles. Nevertheless, it is still important to note that the total number of applications for H1B in business analytics is showing a generally downward trend.
The best location to find a job as a data analyst or in data analytics in the Northeast or the Midwest, as seen from the clusters in the maps that we explored. However, since a large number of job applications come from California, almost all of these roles are plentiful in the state of California. California is also where a large number of specific data scientists and data engineering roles are available, specifically in the bay area where a large number of tech companies are located. The state of Washington (Seattle and Redmond area) is good to find data engineering and data science jobs as well because of the existence of Microsoft and Amazon.
Finally, although Tennessee is not the best for international students pursuing data-related roles, there does seem to be a potential for growth since tech giants such as Amazon and Microsoft are creating more opportunities for jobs in the Nashville area in the future.
Slides
Hint: Project GitHub page: H1B-visas-analysis


Ruby is an object oriented programming(OOP) language and because of this it is dominated by classes. Classes are extensible templates used to create other code objects. A class can store basic information (attributes) and ways of doing things (methods). A general class is used to create specific objects (also called "instances of the class"). A class is like an apple pie recipe. It contains lists of ingredients (attributes) and instructions for what to do (methods). If you take this recipe and make a particular apple pie then that specific apple pie is like an object or an "instance of the class".
Classes are a natural choice for organizing programs(1) when the programmer wants to group specific data and functions into one unit. If you are modelling a physical object it makes sense to put all its attributes and the actions it can perform into one class. Or, if you are building a collection of tools to analyze or present an abstract problem it can make sense to group all of them into one class.
An example of using classes in this second manner is this class which I wrote: (Please pardon the formatting; I'll make it easier to read later.)
class Collatz_Conjecture
attr_accessor :initial_number
def initialize(number)
@initial_number = number
end
def explanation
puts "The Collatz_Conjecture is named after the mathematician Lothar Collatz who proposed it in 1937."
puts "It is a mathematical conjecture which states:"
puts ''
puts "Take any natural number X. If X is even, divide it by 2. If X is odd, multiply it by 3 and add 1."
puts "Repeat this process indefinitely. The conjecture is that no matter what number you start with, "
puts "you will always eventually reach 1. (wikipedia)"
puts " "
puts "The sequence of numbers produced by executing the above algorithm is often called a 'hailstone sequence'"
puts "because the numbers go up and down erratically like hail in a thundercloud before it reaches the ground."
puts ""
end
def print_numeric_sequence
num = @initial_number
puts "The Numeric Sequence for the Given Value: "
output = [num]
until num == 1
if num%2 == 0
num = num/2
else
num = ((num * 3) + 1)
end
output << num
end
output
end
def print_graph_approximation
num = @initial_number
puts "An Approximation of the Hailstone Sequence for the Given Value:"
print ('-' * num)
puts " #{num}"
until num == 1
if num%2 == 0
num = num/2
else
num = ((num * 3) + 1)
end
print ('-' * num)
puts " #{num}"
end
end
def proof
puts "'Mathematics is not yet ready for such problems.' -Paul Erdos"
end
end
The code is a little long but basically it allows a person to see and play around with the Collatz Conjecture and resulting Hailstone Sequences.
In case you are wondering what the Collatz Conjecture is, all you need to do is create a new object (pass it any positive integer you want) and call the explanation method.
attempt1 = Collatz_Conjecture.new(17)
p attempt1.explanation
This returns:
The Collatz_Conjecture is named after the mathematician Lothar Collatz who proposed it in 1937.
It is a mathematical conjecture which states:
Take any natural number X. If X is even, divide it by 2. If X is odd, multiply it by 3 and add 1.
Repeat this process indefinitely. The conjecture is that no matter what number you start with,
you will always eventually reach 1. (wikipedia)
The sequence of numbers produced by executing the above algorithm is often called a 'hailstone sequence'
because the numbers go up and down erratically like hail in a thundercloud.
If you want to see the numeric sequence resulting from the initialization value you passed, just type:
p attempt1.print_numeric_sequence
For this example, using 17 as the initial value, it returns:
[17, 52, 26, 13, 40, 20, 10, 5, 16, 8, 4, 2, 1]
If you want a more graphical representation of the sequence you can type:
attempt1.print_graph_approximation
And it will print a series of labelled bars to the console to help better visualize the sequence:
----------------- 17
---------------------------------------------------- 52
-------------------------- 26
------------- 13
---------------------------------------- 40
-------------------- 20
---------- 10
----- 5
---------------- 16
-------- 8
---- 4
-- 2
- 1
If you are wondering about the proof for this wonderful bit of mathematics you can even request to see it with:
puts attempt1.proof
However, this method doesn't return the most satisfying answer.


title: Vistaprint free online business card.. link: http://www.flamelily.co.uk/2011/11/vistaprint-free-online-business-card/ author: admin description: post_id: 222 created: 2011/11/21 12:00:34 created_gmt: 2011/11/21 12:00:34 comment_status: open post_name: vistaprint-free-online-business-card status: publish post_type: post
If you purchase business cards from Vistaprint they will give you a free online business card. This is just a page with your contact details, but is certainly worth using even if its just for SEO purposes. Have a look at our one below http://flamelily.vpweb.co.uk/


Daily sales for
Pat's Salmon Cookies
New store name
Min amount of customers/ hour
Max amount of customers/ hour
Average amount of cookies/ customer
Store Name/
Work Hours


Here soon you can learn how to program command blocks!
Soon we'll be adding lessons on how to do some of the impressive things you've seen people do in Minecraft on YouTube.
You'll learn how to easily do things that you wouldn't even know you could.
Build your own game-within-a-game
Make impossibly strong items!
Impress your friends with special effects!
Make villagers that sell what YOU want!
I'm Robert Thorne, but you can call me plasmarob. I'm finishing a degree in Computer Science, and I'm known as a redstoner. I've built minigames and automated all kinds of machinery. I made an RPG set of villagers for a server once. I'm about to start a YouTube channel soon!


class Jekyll::Reader
Attributes
Public Class Methods
# File lib/jekyll/reader.rb, line 7 def initialize(site) @site = site end
Public Instance Methods
Filter out any files/directories that are hidden or backup files (start with “.” or “#” or end with “~”), or contain site content (start with “_”), or are excluded in the site configuration, unless they are web server files such as '.htaccess'.
entries - The Array of String file/directory entries to filter. base_directory - The string representing the optional base directory.
Returns the Array of filtered entries.
# File lib/jekyll/reader.rb, line 112 def filter_entries(entries, base_directory = nil) EntryFilter.new(site, base_directory).filter(entries) end
Read the entries from a particular directory for processing
dir - The String representing the relative path of the directory to read. subfolder - The String representing the directory to read.
Returns the list of entries to process
# File lib/jekyll/reader.rb, line 122 def get_entries(dir, subfolder) base = site.in_source_dir(dir, subfolder) return [] unless File.exist?(base) entries = Dir.chdir(base) { filter_entries(Dir["**/*"], base) } entries.delete_if { |e| File.directory?(site.in_source_dir(base, e)) } end
Read Site data from disk and load it into internal data structures.
Returns nothing.
# File lib/jekyll/reader.rb, line 14 def read @site.layouts = LayoutReader.new(site).read read_directories sort_files! @site.data = DataReader.new(site).read(site.config["data_dir"]) CollectionReader.new(site).read end
Recursively traverse directories to find pages and static files that will become part of the site according to the rules in filter_entries.
dir - The String relative path of the directory to read. Default: ''.
Returns nothing.
# File lib/jekyll/reader.rb, line 36 def read_directories(dir = "") base = site.in_source_dir(dir) dot = Dir.chdir(base) { filter_entries(Dir.entries("."), base) } dot_dirs = dot.select { |file| File.directory?(@site.in_source_dir(base, file)) } dot_files = (dot - dot_dirs) dot_pages = dot_files.select do |file| Utils.has_yaml_header?(@site.in_source_dir(base, file)) end dot_static_files = dot_files - dot_pages retrieve_posts(dir) retrieve_dirs(base, dir, dot_dirs) retrieve_pages(dir, dot_pages) retrieve_static_files(dir, dot_static_files) end
Recursively traverse directories with the #read_directories function.
base - The String representing the site's base directory. dir - The String representing the directory to traverse down. dot_dirs - The Array of subdirectories in the dir.
Returns nothing.
# File lib/jekyll/reader.rb, line 71 def retrieve_dirs(_base, dir, dot_dirs) dot_dirs.map do |file| dir_path = site.in_source_dir(dir, file) rel_path = File.join(dir, file) unless @site.dest.sub(%r!/$!, "") == dir_path @site.reader.read_directories(rel_path) end end end
Retrieve all the pages from the current directory, add them to the site and sort them.
dir - The String representing the directory retrieve the pages from. dot_pages - The Array of pages in the dir.
Returns nothing.
# File lib/jekyll/reader.rb, line 88 def retrieve_pages(dir, dot_pages) site.pages.concat(PageReader.new(site, dir).read(dot_pages)) end
Retrieves all the posts(posts/drafts) from the given directory and add them to the site and sort them.
dir - The String representing the directory to retrieve the posts from.
Returns nothing.
# File lib/jekyll/reader.rb, line 59 def retrieve_posts(dir) site.posts.docs.concat(PostReader.new(site).read_posts(dir)) site.posts.docs.concat(PostReader.new(site).read_drafts(dir)) if site.show_drafts end
Retrieve all the static files from the current directory, add them to the site and sort them.
dir - The directory retrieve the static files from. dot_static_files - The static files in the dir.
Returns nothing.
# File lib/jekyll/reader.rb, line 99 def retrieve_static_files(dir, dot_static_files) site.static_files.concat(StaticFileReader.new(site, dir).read(dot_static_files)) end
Sorts posts, pages, and static files.
# File lib/jekyll/reader.rb, line 23 def sort_files! site.collections.values.each { |c| c.docs.sort! } site.pages.sort_by!(&:name) site.static_files.sort_by!(&:relative_path) end


We want to implement a linear regression quickly. Outlier tests are leaved aside and on numerical effects no care is taken.
use math: sqrt function mean(a) a.sum()/size(a) end function square_sum(a,m) a.sum(|x| (x-m)^2) end function product_sum(a,b,mx,my) map(a,b,fn|x,y| (x-mx)*(y-my) end).sum() end function linear_regression(a) x,y = unzip(a) mx = mean(x) my = mean(y) sx = square_sum(x,mx) sy = square_sum(y,my) sxy = product_sum(x,y,mx,my) rxy = sxy/sqrt(sx*sy) return table{ mx=mx, my=my, r=rxy, c=[mx,my], ax=sxy/sx, bx=my-sxy/sx*mx, ay=sxy/sy, by=mx-sxy/sy*my } end function print_linear_regression(a) t = linear_regression(a) print("y(x) = ax*x+bx = ax*(x-mx)+my") print("ax = ", t.ax) print("bx = ", t.bx) print("mx = ", t.mx) print("my = ", t.my) print("rxy = ", t.r) print("R^2 = " t.r^2) end
Mathematical question: one can replace product_sum(x,y,mx,my)
with product_sum(x,y,r,my)
or product_sum(x,y,mx,r)
where r
is an arbitrary real number. Why is this possible?
We want to generate random numbers that are distributed according to a certain distribution function.
use math: erf, sqrt use na: inv # F: a cumulative distribution function random = fn|F| r=rand() return || inv(F,r(),-1000,1000) end # Cumulative standard normal distribution norm = |x| 1/2*erf(x/sqrt(2))+1/2 # Obtain a cumulative distribution function # from a list of random numbers. cdf = |a| |x| a.count(|X| X<=x)/size(a) # Example a = random(norm).list(100) F = cdf(a)
Simple plots.
use plotlib: plot plot(|x| x^2)
Parametric curves.
use plotlib: system use math: sin, cos s = system() s.plot(|x| x^2) s.vplot(|t| [cos(t),sin(t)]) s.idle()
Advanced.
use plotlib: system use math: pi, sin, cos, tan s = system({wx=5,wy=5}) s.plot(tan,{ n=10000, color=[0.4,0,0.4] }) v = |t| [cos(t), sin(t)] s.vplot(v,{ t1=0, t2=pi }) s.scatter([ [1,1], [-1,1], [-1,-1], [1,-1] ],{ color=[0,0,0.4] }) s.idle()
Complex functions.
use plotlib: plot, cplot use cmath: re, im, exp cplot(|z| exp(z)) a = [|x| re(exp(x*1i)), |x| im(exp(x*1i))] plot(a)
Complex fractals.
use plotlib: fractal use cmath: re, im # Mandelbrot set fractal(|z,c| z^2+c, |c| 0) # Burning ship fractal fractal(|z,c| (abs(re(z))-abs(im(z))*1i)^2+c, |c| 0) # Julia set of f(z)=z^2-1 fractal(|z,c| z^2-1, |c| c)
Interlacing and random interlacing.
use plotlib: system # Bifurcation diagramm w = rand() f = |r| (fn|x| r*x*(1-x) end^200)(w()) s = system({px=3, wx=1.25, wy=2}) # s.interlace(f) s.random(f)


Core API
SoupAuth
— HTTP client-side authentication support
SoupAuthDomain
— Server-side authentication
SoupAuthDomainBasic
— Server-side "Basic" authentication
SoupAuthDomainDigest
— Server-side "Digest" authentication
SoupCache
— Caching support
SoupCookie
— HTTP Cookies
SoupMessage
— An HTTP request and response.
SoupMessageHeaders
— HTTP message headers
SoupMessageBody
— HTTP message body
soup-method
— HTTP method definitions
Soup Miscellaneous Utilities
— Miscellaneous functions
SoupMultipart
— multipart HTTP message bodies
SoupMultipartInputStream
— Multipart input handling stream
SoupRequest
— Protocol-independent streaming request interface
SoupRequestHTTP
— SoupRequest support for "http" and "https" URIs
SoupRequestFile
— SoupRequest support for "file" and "resource" URIs
SoupRequestData
— SoupRequest support for "data" URIs
SoupServer
— HTTP server
SoupServer deprecated API
SoupSession
— Soup session state object
SoupSessionAsync
— (Deprecated) SoupSession for asynchronous (main-loop-based) I/O.
SoupSessionSync
— (Deprecated) SoupSession for blocking I/O in multithreaded programs.
soup-status
— HTTP (and libsoup) status codes
Top Level Domain utils
— Top-Level Domain Utilities
SoupURI
— URIs
Version Information
— Variables and functions to check the libsoup version


http://www.speakers-podium.com/susangranger.
Susan Granger's review of "THE CIDER HOUSE RULES" (Miramax Films)
Adapted by John Irving from his own best-seller, this is the extraordinary story of one boy's journey into maturity in the 1940s. Homer Wells (Tobey Maguire) grew up in a sheltered existence at an orphange in St. Clouds, Maine, under the kindly, paternal care of ether-addicted Dr. Larch (Michael Caine) who, each night, after reading a chapter from Charles Dickens, bid the wistful, unwanted boys a poignant "Good night, you princes of Maine, you kings of New England." As Larch's favorite, Homer learns a lot about performing safe, if illegal, abortions but less about right and wrong. Which is why he decides to explore the outside world, hitching a ride with a young woman (Charlize Theron) and her fiance (Paul Rudd), an Air Force pilot.  Director Lasse Hallstrom is sensitively and affectionately in tune with Irving's off-beat, idiosyncratic characters, eliciting substantial, Oscar-caliber performances as Homer copes with a crisis of conscience involving abortion, medical ethics and racial prejudice. Wide-eyed and impressionable, Tobey Maguire is delicately convincing, particularly as he's dazzled by luminous Charlize Theron. Michael Caine not only masters the elusive accent but captures the fierce intensity and enormously touching vulnerability of Larch. And edgy Delroy Lindo is tender yet terrifying, never hitting a false note. The fable-like quality is greatly enhanced by Oliver Stapleton's vivid, impressionistic photography. On the Granger Movie Gauge of 1 to 10, The Cider House Rules is a haunting 10. Mixing quirky humor, menace, and pathos, it's an emotionally uplifting experience - one of the best pictures of the year.
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


Each page of an application made with WebCardinal can have a certain skin.
Webcardinal offers basic support for translations via this skins mechanism.
In webcardinal.json
For example:
Keyword name is required and keyword translations is options for a skin.
The preferred skin will be the first skin from the skins array.
If a page is not part of this skin, the fallback is the default skin
In the above example "skin 1" is the main skin and "default" is the fallback.
For those skins that do not have "translations" option, the default value is set through global "translations" flag.
WebCardinal chooses its pages
, scripts
, modals
and templates
first from the specified skin folder, then from the defaults (root level).
The skin resources can be found at /skins/{SKIN_NAME}
For example, if there is a skin:
The skin area would be /skins/simplified
For a page "simple-page.html" that contains a template "simple-template.html" and a modal "simple-model.html", the resource are at the following paths:
/skins/simplified/pages/simple-page.html
/skins/simplified/templates/simple-template.html
/skins/simplified/modals/simple-modals.html
/skins/simplified/pages/simple-page.translate.json
In webcardinal.json
For example:
In the above example simplified
must be present in the skin array.
In Controller
from WebCardinal.controller
there are the following methods:
setPreferredSkin
- set a new preffered skingetPreferredSkin
changeSkinForCurrentPage
- change the skin for current pageRead more in
The translation mechanism can be used both inside the HTML files and also inside the JavaScript (inside controllers).
There are two ways to use translations inside the HTML files:
$
prefix.
submit
and display it inside the input
button.
$
prefix inside the {{ }}
notation.
submit
and display it inside the button.
There are situations where the translation mechanism must be used inside the controller files. For this
the controller must extends WebCardinal
's Controller
or any other existing
controller which extends Controller
.
The translation can be used by calling the translate
function and giving the translationKey
as the parameter.
submitText
will be populated with the translation for the key submit
. The
submitText
can be used inside the HTML as an ordinary model usage
File SkinController.js
File skins.html
File skins.translate.json


{{filter.name}} {{filter.name}} or regular expression clear
{{filter.name}} min to max clear
{{filter.name}} to clear
Looks like there is no data to show with the filters selected.
Please try:


CASE NO.: Writ Petition (civil) 202 of 1995 PETITIONER: T.N. Godavarman Thirumulpad RESPONDENT: Union of India and Ors DATE OF JUDGMENT: 17/10/2006 BENCH: ARIJIT PASAYAT & S.H. KAPADIA JUDGMENT:
J U D G M E N T I.A.NO. 1156 IN WP (C) NO. 202 OF 1995 [With I.A.Nos.1192, 756, 1463, 1501 and 1532 in WP (C) 202 OF 1995] ARIJIT PASAYAT, J The present IAs relate to acceptability of the report given by the Expert Committee relating to alleged violation of the environmental norms by the respondents.
Background facts in a nutshell are as follows:
The Delhi Development Authority (in short the 'DDA') proposed the development of International Hotel Complex on 315 hectares of land situated in the Vasant Kunj area after the same area was identified in the Master Plan for Delhi 2001 for urban use. According to the applicants, the said area under the earlier Master Plan 1962 was identified as green area but there was a change of user to urban area under the latter Master Plan i.e. Master Plan 2001. DDA planned to develop the said area for construction of Hotels, Convention Centres etc. Initially, by an order dated 13.9.1996 this Court directed inter alia as follows:
"The proposal of the Delhi Development Authority (DDA) called International Hotels Complex (Complex on 315 hectares of prime land situated in South Delhi is before us for consideration. In the affidavit filed by Mr. Arun Khaisalkar, Commissioner (Planning), (DDA), the details of the development in respect of the said 315 hectares has been given. It is not disputed that the Master Plan of Delhi 2001 was amended on June 17, 1995 whereunder out of the total area of the complex the area assigned for residential purposes was reduced from 100 hectares to 49 hectares and for commercial purposes increased from 8 hectares to 65 hectares. Apart from that 39 hectares have been earmarked for public and semi-public, 15 hectares for transportation and remaining 147 hectares for recreational purposes.
It is stated in the affidavit that there is an acute shortage of tourist accommodation in Delhi and as such it is necessary to provide sites for 4/5 Star Hotels, Institutions, Hospital, Shopping Mall etc. It is further stated that the Complex area is not a part of the Ridge. It is about 2 Km. away from Southern & South Central Ridge.
We have heard Mr. V.B. Saharya, learned counsel for DDA and also Mr. P.C. Jain, Consultant, Planner, DDA. We have heard Mr. Mehta, Dr. Rajiv Dhawan and other learned counsel assisting us in this matter.
Mr. Sunder Subramanian, Member of Citizens for the South Western Lake Wilderness & Others and of PILSARC, has filed an affidavit pursuant to this Court's order dated September 4, 1996. It is stated in the affidavit that the area is topographically a part of the South Ridge which is to South Delhi what the Central Ridge is to Central Delhi. It is further stated in the affidavit that the area is lake studded covering over 1000 acre. The affidavit indicates that the area was kept green under the 1962 Master Plan in the Draft Zonal Plan of 1993 (ZDP Zone 121993-Z-P/F/93-52) of the DDA 2001 Master Plan. It is further stated that this area is the natural extension of Sanjay Van a notified reserve forest and a part of Ridge. Along with the affidavit, various photographs have been attached to depict the ecology of the area.
This Court in Vellore Citizens Welfare Forum v. Union of India and Ors. (JT 1996 (7) SC 375) has observed that the development and environment protection must go together. There should be balance between development and environment protection. It is, therefore, necessary that before the proposed Complex of the DDA is brought into execution, it should have environment clearance from the authorities concerned. The whole of the area has to be surveyed from the point of view of environment protection. In other words, the environment impact assessment of the area has to be done by the experts. We are of the view that the authority contemplated by Section 3(3) of the Environment (Protection) Act, 1986 ('the Act') can be the only appropriate Authority to look into the environment protection side of the present project or any other project which the DDA or any other Authority may initiate in future. Needless to say that the City of Delhi is already highly congested and has been rated by the World Heath Organization as the 4th most polluted city so far as the air pollution is concerned. It is, therefore, necessary that the development in the city should have environmental clearance.
We, therefore, direct the Central Government to constitute an Authority under Section 3(3) of the Act and confer on the said authority all the powers necessary to deal with the environmental protection issue arising out of the project in hand or any other project which may in future come under its consideration. The authority shall he headed by a retired Judge of a High Court and it may have other members preferably experts in the field of pollution control and environment protection to be appointed by the Central Government. The Central Government shall confer on the said Authority the powers to issue directions under Section 5 of the Act and for taking measures with respect to the matters referred to in clauses (i), (iii), (iv), (vi),
(viii), (ix), (x) and (xii) of sub-section (2) of Section 3 of the Act. The Central Government shall constitute the Authority before October 10, 1996. This Authority shall have the jurisdiction over the National Capital Region as defined under the National Capital Region Planning Act, 1985.
Needless to say that the authority so constituted shall keep in view the 'Precautionary Principle" and other principles laid down by this Court in Vellore Citizens Welfare Forum's case (supra). The Authority shall lay down its own procedure.
We further direct that till the time the Complex is cleared by the Authority so constituted by the Central Government, there shall be no construction and no development of any kind in the area by the DDA or by any other authority. The DDA can, however, clean the area and plant trees if they so wish.
The proceedings initiated on Kuldip Nayar's letter are disposed of."
Subsequently, on an application filed, this Court by an order dated 19.8.1997 held that 92 hectares of land out of the aforesaid 315 hectares of land was a constraint area and only in respect of the balance 223 hectares of land the constructions have to abide by the conditions of clearance. Subsequently, a Writ Petition was filed (W.P.No. 564/2003) which was dismissed by an order dated 8.3.2004. Pursuant to the directions of this Court the Committee constituted has given its report. The recommendations made by the Committee are as follows:
1. The project site has topographical features similar to that of the ridge. Various studies, including EIA documents submitted now for obtaining environmental clearance, establish the environmental value of this area, particularly as a zone of groundwater recharge. Therefore, DDA should have exercised adequate environmental precaution based on a sustainable environmental management approach. There is no evidence that the environmental impact of the construction of malls was assessed beforehand and that the development of this area for commercial activities is in accordance with the Master Plan.
2. DDA's advertisement (Hindu Dec 12, 2003 ) states: "purchaser would be required to obtain necessary clearance for the project from the EPCA and/or DPCC before submitting the plans for sanction to the Building Dept of DDA". There is no confirmation that this requirement was fulfilled by the allottees.
3. DDA has mentioned that FAR for the projects under reference is pegged at 1.0. However, it is seen that for all the buildings proposed in Plot no. 1 to 5, DDA has permitted a higher FAR which works out to 1.25 to 1.29.
4. In hindsight it is evident that the location of large commercial complexes in this area was environmentally unsound. Now many proponents have constructed very substantially and really speaking awarding clearances even with conditions is largely a compromise with de-facto situation. The Expert Committee is of the opinion that at this stage only damage control is possible by strict implementation of effective EMP and resource conservation measures in the project construction and operational stages.
5. As stated earlier in the interim report, the Committee suggests that the Ministry of Environment & Forests and the Supreme Court may consider imposing a penalty on the project proponents who commenced construction works without obtaining environmental clearance in contravention to the Notification in July 2004.
6. Existing vacant plots (no. 6 and 7) of the shopping mall complex should not be auctioned by DDA for more malls or commercial activities. They may be kept open as a fringe of the bio-diversity park or earmarked for development of any common facilities that may be needed in the area.
7. Treated sewage from Vasant Kunj Sewage Treatment Plant must be utilized as much as possible for such purposes as water cooled chillers, toilet flushing, gardening and horticulture and floor washing. This will reduce the requirement of fresh water.
8. The aforesaid purposes will need tertiary treatment of sewage. Since the allottees of offices and malls have proposed to carry out entire treatment up to tertiary level on their own, it should be possible for them to treat the treated sewage received from Vasant Kunj sewage treatment plant to the required level.
9. While rainwater harvesting should be done, the withdrawal of ground water should not he permitted in the shopping mall area.
10. For construction, use of ready-mix concrete (RMC) should be made compulsory so as to reduce movement and storage of materials and generation of dust.
11. Utilization of solar energy must he maximized in all these proposals both for heating water and generating power to light up corridors and parking.
12. A Monitoring Committee may be constituted for overseeing the project so as to ensure effective implementation and compliance to environmental safeguards".
In support of the applications, learned counsel has submitted that it has never been held by this Court that 92 hectares of land are not a part of the ridge. On the contrary, the first order itself made the position clear. The clarification by order dated 19.8.1997 had really expressed no opinion on the question whether the land was a part of the ridge. A report was given by the Environmental Pollution (Prevention and Control) Authority (in short 'EPCA') chaired by Shri Bhure Lal wherein it has been clearly stated that environmental factors were not in favour of urban development use of land and the entire parcel of land should be developed as green. Therefore, it is submitted that there has been clear violation of the norms fixed on 7.7.2004.
Per contra, learned counsel for DDA and the allottees inter alia submitted that the applicants are trying to re-open an issue which had become final about a decade back. The order dated 19.8.1997 made the position absolutely clear that 92 hectares of land was constraint area and was not an integral part of Delhi Ridge. Out of the said 92 hectares of land, only 19 hectares of said land are sought to be utilized for the purpose of construction. Learned counsel for the DDA additionally submitted that long back the 92 hectares of land have been declared constraint area and there has never been any challenge to the Notification. In a nutshell, DDA and allottees have prayed for dismissal of the applications.
The first order of this Court which was relied i.e. 13.9.1996 has been quoted above. It would be appropriate to quote the subsequent orders. They are as follows:
Order 19.8.1997 "Having heard learned counsel for the parties and the learned Additional Solicitor General, we are satisfied that this Court's Order dated 13.9.1996 on I.A.No.18 in WP ( C ) No.4677/85 is in effect to govern the constructions made under the proposal of the Delhi Development Authority (DDA) called 'The International Hotels Complex' in South Delhi and mention of the area of 315 hectares in relation to that complex is inadvertent since the DDA's proposal itself excluded the constraint area described at page 33 of the paper book (page 13 of the booklet) which is a total of 92 hectares including the shopping Mall and Hotel site of 25 hectares within which is located the site of the petitioner's proposed Hotel under construction in an area of 4 hectares. In other words, the proposal of the DDA called "The International Hotels Complex" in South Delhi is to be understood as that for the area of 315-92 = 223 hectares as shown in the DDA's proposal itself. This clarification of this Court's order dated 13.9.1996 has become necessary on account of the fact that the concerned authorities are construing the order dated 13.9.1996 to operate also in respect of the aforesaid constraint area of 92 hectares in addition to some other areas which are even outside the area of 315 hectares. However, it is made clear that the petitioner and all other similarly situated outside the 223 hectares of the area of the proposal of the DDA are required to abide by all the conditions of clearance from the environmental authorities including taking the measure necessary for checking pollution and other requirements of law.
In view of the manner in which this Court's aforesaid order dated 13.9.1996 is to be construed, the order of the Authority of 31st January, 1997 and 7th March, 1997 do not survive.
The Special Leave Petition is disposed of in these terms".
Order dated 8.3.2004 "We are satisfied that the proposed Mall is on the area measuring 92 hectares of land, which has already been excluded by the order of this Court on 19th August, 1997. In that view of the matter, we do not find any merit in this petition. It is accordingly dismissed. However, this order will not preclude the petitioner from availing any remedy, which may be available to him under law."
The order dated 19.8.1997 makes the position clear that 92 hectares of land were kept out of consideration and in fact it was clearly declared to be a constraint area. The expression 'constraint area' has its own connotation. As has been pointed out by learned counsel for the DDA, a Notification in respect of the land in question has been issued. The said Notification has never been challenged. The EPCA's report dated 6.10.1999 nowhere indicates that the land in question was a part of the ridge. Both the EPCA and the Expert Committee's report under consideration refer to the land as "similar to ridge area". Significantly, the EPCA in its report has taken note of the fact that there is no statutory definition of "ridge". That being so, at this juncture, it would be inappropriate to reopen the whole issue as to whether the land in question was a constraint area or ridge land. A bare reading of the order dated 19.8.1997 makes the position clear that this Court had treated the land as constraint area. It has been emphasized by learned counsel for the petitioners that the Expert Committee's report is per se unacceptable because it has focused more on the aspects of regularizing the unauthorized areas rather than on the consequences flowing from the non observance of the procedure before undertaking any construction. It is stated that this Court has taken serious view of unauthorized construction and some times on the basis of permissions, wrongly granted. Various decisions in this regard are relied on.
In response, learned counsel for the respondents have stated that their lands were allotted by the DDA. As per Notification No.SO/60(E) dated 27.1.1994 for the first time a provision for obtaining environmental clearance by a Central Government (MoEF) before undertaking any new project listed in ScheduleI to the Notification was introduced. The Notification did not relate to new construction projects and as such did not apply to them is the stand of the respondents. The auction was conducted by DDA. Having undertaken the project, huge investments have been made and with sanction of building plans they applied for. In some cases applications were filed before DPCC for obtaining clearance under the Air and Water Acts. According to them prior to 7.7.2004 no other environmental clearance was required except clearance as afore-stated. The auction Notice of DDA dated 12.12.2003 mentions about clearance from EPCA. According to the respondents, this referred to the draft Notification dated 7.10.2003 which proposed to include new construction projects within the ambit of the parent Notification dated 27.1.1994. According to them, the amendment by Notification dated 7.7.2004 postulates post facto clearance contemplated for new construction projects undertaken.
In some cases the Expert Committee after public hearing has made the recommendations with certain stipulations. It has been clearly stated that the project can be recommended for environmental clearance. The confusion arose because DDA all through gave an impression to the parties participating in auction that all requisite clearances had been obtained. Had such parties inkling of an idea that such clearances were not obtained by DDA, they would not have invested such huge sums of money. The stand that wherever constructions have been made unauthorisedly demolition is the only option cannot apply to the present cases, more particularly, when they unlike, where some private individuals or private limited companies or firms being allotted to have made contraventions, are corporate bodies and institutions and the question of their having indulged in any malpractices in getting the approval or sanction does not arise. Some of the allottees are the National Book Trust, School of Planning or Architecture, Shri Ram Vithala Sikha Seva Samiti, International Centre for Alternate Dispute Resolution and Institute for Studies and Industrial Development. In most of these cases the constructions are already complete and have become functional.
DDA had also made some constructions at the site in question. That being so, it is submitted that the recommendations made by the Expert Committee should be accepted.
Learned counsel for the DDA while adopting the submissions made by the other respondents submitted that the DDA proceeded on a bona fide impression that all requisite clearances had been obtained by it. There was no question of it acting in mala fide manner or irregular manner.
In view of what has been stated above, the MoEF has now to take a decision by taking the land as constraint area. It is needless to say that even if the land is held to be constraint area the constructions thereon have to be made after having the requisite clearance. The MoEF shall take note of the stands projected by the respondents. We are prima facie satisfied about the bona fides of the respondents but at the same time it needs no emphasis that DDA should have been more transparent in ensuring that it was not putting a site for auction where there was scope for litigation. It had definitely created an impression that all necessary clearances had been obtained, though it does not appear to be so. What remains to be decided as to what remedial measures including imposition of such amounts as costs can be taken.
Let the MoEF take a decision within a period of 2 months from today to avoid unnecessary delay. The IAs. are accordingly disposed of.


---
layout: theorems
title: Condition for Square Matrices to have an Unique Solution
---
Conditions for a square matrix having a unique solution
If $A$ is square, then $Ax=0$ has a unique solution $(x= 0)$ if and only if $A$ is row equivalent to the identity matrix.
Concepts
Coming soon
If
We require that $A$ is row equivalent to the identity matrix. This would mean $Ax=0$ has the same solution as $I_n x=0$, where $I_n$ is the $n\times n$ identity matrix.
Only If
Coming soon
Proof
We use the fact that two row equivalent matrices have the same solution, and only the identity matrix has a unique solution for $Ax=0$.


spikedev.unit¶
-
class
spikedev.unit.
DistanceValue
¶ Bases:
object
A base class for
Distance
classes. Do not use this directly. Use one of:
-
class
spikedev.unit.
DistanceMillimeters
(millimeters)¶ Bases:
spikedev.unit.DistanceValue
Distance in millimeters
- Parameters
millimeters (int) – the number of millimeters
Example:
import hub from spikedev.motor import MoveDifferential, MotorSpeedDPS from spikedev.unit import DistanceMillimeters, DistanceStuds from spikedev.wheel import SpikeWheel md = MoveDifferential(hub.port.E, hub.port.F, SpikeWheel, DistanceStuds(11)) # drive forward 600 millimeters md.run_for_distance(DistanceMillimeters(600), MotorSpeedDPS(100))
-
property
mm
¶ Returns: int: our distance in millimeters
-
class
spikedev.unit.
DistanceCentimeters
(centimeters)¶ Bases:
spikedev.unit.DistanceValue
Distance in centimeters
- Parameters
centimeters (int) – the number of centimeters
Example:
import hub from spikedev.motor import MoveDifferential, MotorSpeedDPS from spikedev.unit import DistanceCentimeters, DistanceStuds from spikedev.wheel import SpikeWheel md = MoveDifferential(hub.port.E, hub.port.F, SpikeWheel, DistanceStuds(11)) # drive forward 60 centimeters md.run_for_distance(DistanceCentimeters(60), MotorSpeedDPS(100))
-
property
mm
¶ Returns: int: our distance in millimeters
-
class
spikedev.unit.
DistanceDecimeters
(decimeters)¶ Bases:
spikedev.unit.DistanceValue
Distance in decimeters
- Parameters
decimeters (int) – the number of decimeters
Example:
import hub from spikedev.motor import MoveDifferential, MotorSpeedDPS from spikedev.unit import DistanceDecimeters, DistanceStuds from spikedev.wheel import SpikeWheel md = MoveDifferential(hub.port.E, hub.port.F, SpikeWheel, DistanceStuds(11)) # drive forward 6 decimeters md.run_for_distance(DistanceDecimeters(6), MotorSpeedDPS(100))
-
property
mm
¶ Returns: int: our distance in millimeters
-
class
spikedev.unit.
DistanceMeters
(meters)¶ Bases:
spikedev.unit.DistanceValue
Distance in meters
- Parameters
meters (int) – the number of meters
Example:
import hub from spikedev.motor import MoveDifferential, MotorSpeedDPS from spikedev.unit import DistanceMeters, DistanceStuds from spikedev.wheel import SpikeWheel md = MoveDifferential(hub.port.E, hub.port.F, SpikeWheel, DistanceStuds(11)) # drive forward 2 meters md.run_for_distance(DistanceMeters(2), MotorSpeedDPS(100))
-
property
mm
¶ Returns: int: our distance in millimeters
-
class
spikedev.unit.
DistanceInches
(inches)¶ Bases:
spikedev.unit.DistanceValue
Distance in inches
- Parameters
inches (int) – the number of inches
Example:
import hub from spikedev.motor import MoveDifferential, MotorSpeedDPS from spikedev.unit import DistanceInches, DistanceStuds from spikedev.wheel import SpikeWheel md = MoveDifferential(hub.port.E, hub.port.F, SpikeWheel, DistanceStuds(11)) # drive forward 6 inches md.run_for_distance(DistanceInches(6), MotorSpeedDPS(100))
-
property
mm
¶ Returns: int: our distance in millimeters
-
class
spikedev.unit.
DistanceFeet
(feet)¶ Bases:
spikedev.unit.DistanceValue
Distance in feet
- Parameters
feet (int) – the number of feet
Example:
import hub from spikedev.motor import MoveDifferential, MotorSpeedDPS from spikedev.unit import DistanceFeet, DistanceStuds from spikedev.wheel import SpikeWheel md = MoveDifferential(hub.port.E, hub.port.F, SpikeWheel, DistanceStuds(11)) # drive forward 3 feet md.run_for_distance(DistanceFeet(3), MotorSpeedDPS(100))
-
property
mm
¶ Returns: int: our distance in millimeters
-
class
spikedev.unit.
DistanceYards
(yards)¶ Bases:
spikedev.unit.DistanceValue
Distance in yards
- Parameters
yards (int) – the number of yards
Example:
import hub from spikedev.motor import MoveDifferential, MotorSpeedDPS from spikedev.unit import DistanceYards, DistanceStuds from spikedev.wheel import SpikeWheel md = MoveDifferential(hub.port.E, hub.port.F, SpikeWheel, DistanceStuds(11)) # drive forward 2 yards md.run_for_distance(DistanceYards(2), MotorSpeedDPS(100))
-
property
mm
¶ Returns: int: our distance in millimeters
-
class
spikedev.unit.
DistanceStuds
(studs)¶ Bases:
spikedev.unit.DistanceValue
Distance in studs
- Parameters
studs (int) – the number of LEGO studs
Example:
import hub from spikedev.motor import MoveDifferential, MotorSpeedDPS from spikedev.unit import DistanceStuds from spikedev.wheel import SpikeWheel md = MoveDifferential(hub.port.E, hub.port.F, SpikeWheel, DistanceStuds(11)) # drive forward 2 studs md.run_for_distance(DistanceStuds(6), MotorSpeedDPS(100))
-
property
mm
¶ Returns: int: our distance in millimeters
-
spikedev.unit.
distance_in_mm
(distance)¶ - Parameters
distance (DistanceValue, int) – the distance to convert to millimeters
- Returns
distance
converted to millimeters- Return type
int
Example:
from spikedev.unit import DistanceFeet two_feet_in_mm = distance_in_mm(DistanceFeet(2))


Docker Webinar
Starting in
Welcome to my webinar about
Say hi and thank audience :)
Ask if Audio / Video is OK
About me
My name is Florian Kappes
I'm 31 years old
I work for SWARCO Traffic Systems in Germany with my office located in Trier
I've got 9 years of software development experience
This is my first live webinar ever!
Content
Presenting Docker ( 10-15 minutes )
Let's Code ( 20-30 minutes )
Reference projects
Questions & Answers
What is docker? An excerpt!
It's an application runtime environment
You can pack your applications in a standard way
It's your system description
You can easily build multi service systems with it
Containers & Services ...
"I already use something like that. Virtual machines!"
Refer to the common docker introductions:
- Build
- Deploy
- Operations
Most importanly diffrence imho is to VMs
Evolution!
Back in the days we had monolithic backends built out of modular libraries.
- single build toolchain
- hosting requirements weren't too diverse
VM was sufficient
Happens!
The Matrix from hell!
"Ahhhh ... CREEPY ... Why ... What ...?"
Installing multiple independent services on a single machine, real or virtual, is a recipe for disaster. This is called the matrix of hell!
An example
- Multiple different packages
- Possible version conflicts
>> Switch to next slide!
It's all about containers!
- refer to sea containers
The solution: DOCKER
- Thats what docker does for software
- Docker equalizes development and operations
So what is the difference to a VM?
Containers all run on top of the same host OS and take up substantially less resources!
- most right: typical VM
- Left: Docker. Only libs and app, rest is host OS and docker engine
- middle: Docker in VM
What exactly is a docker container?
It's all about layers!
- compare image to Class
- container to object instance
- Layers to inheritance chain / composition
- Actually no VM
- Image contains meta data on how to run a container from it
- Images merge together as file system union
- Deletions are only marked in each containers writable layer
Docker in numbers
Over 14 million docker hosts
Billions of image pulls from docker hub
Thousands of contributors
Docker groups in more than 280 cities
Overall Docker adoption at around 35%
http://electric-cloud.com/blog/2017/05/docker-numbers-dockercon-shines-light-containers-enterprise/
Lets try it out!
"I'm a bit scared that it's difficult to use but I say lets face it and try it out!"
- First section finished
- We'll see its not difficult at all
Install docker
To get the latest stable version, on all systems use the official docker install script:
#https://github.com/docker/docker-install
curl -sSL https://get.docker.com/ | sh
Official documentation: docs.docker.com
- Works on centos, fedora, debian/ubuntu as well as the arm derivates of debian (raspbian, debian, ubuntu)
- Installs the repo dependency and registers appropriate key,
- install latest stable release
Usually you can install via package manager, but its an old version most of the time
Code!
Getting Images
Official images reside on hub.docker.com which is the default registry for Docker:
- You can host your own registry (private) of course as docker!
- Use registry enabled servers like Sonartype Nexus
Basic operations
Download an image
docker pull debian
Run a container
docker run -it debian
List running containers
docker ps
Remove containers
docker rm 'id'
Running containers
docker run -it debian /bin/bash
- show adding files
- close container
docker start -i 'container'
- exit again ant start with --rm
docker run -it --rm debian bash
- run same again. See files are gone
- Show remove command
Advanced operations
Environment variables / volumes and published ports
docker run -E ENV_NAME -V HOST:GUEST -p HOST:GUEST...
Running named container in daemon mode
docker run --name NAME -d
Attach to running containers
docker exec CONTAINER_ID COMMAND
Hosting postgreSQL
docker run --name postgres-9-6 -e POSTGRES_PASSWORD=42 -d -p 5432:5432 postgres:9.6
docker ps
docker exec -it postgres-9-6 bash
psql -U postgres
\l && \q
docker run -it --rm --link postgres-9-6 qpostgres:9.6 bash
#password 42
psql -h postgres-9-6 -p 5432 -U postgres
A simple service
import java.io.IOException;
import java.io.OutputStream;
import java.net.InetSocketAddress;
import com.sun.net.httpserver.HttpExchange;
import com.sun.net.httpserver.HttpHandler;
import com.sun.net.httpserver.HttpServer;
public class Tardis {
public static void main(String[] args) throws Exception {
HttpServer server = HttpServer.create(new InetSocketAddress(3000), 0);
server.createContext("/tardis", new MyHandler());
server.setExecutor(null);
server.start();
}
static class MyHandler implements HttpHandler {
@Override
public void handle(HttpExchange t) throws IOException {
String response = "It's bigger on the inside!\n";
t.sendResponseHeaders(200, response.length());
OutputStream os = t.getResponseBody();
os.write(response.getBytes());
os.close();
}
}
}
We can operate time machines!
- We already loaded, started and operated images
- Lets build our first docker image ourselves
CODE!
Building the first image
javac Tardis.java
java Tardis &
curl localhost:3000/tardis
kill again!
#Container bauen: nano Dockerfile
FROM openjdk:9-jre-slim
COPY *.class /
ENTRYPOINT ["java"]
CMD ["Tardis"]
docker run -d -p 3000:3000 --name tardis tardis
Reality isn't simple
- The examples were very basic, but even more complex apps are bundled the same way
- You won't want to create each run command by hand and link containers
- We need auto running and restarting services
- We need networking between containers and so on..
- There are tools for all that
Using Compose Stack or Swarm?
Actually you're going to use all of them!
But you're not going to use 'docker-compose' tool..
Swarm is for managing clusters
Stack is for deploying applications
Compose defines the application tier's relations
- docker-compose is a definition format in yaml
- The tool is written in python and there are possible conflicts
- Multi instances problem with compose
What is a swarm
- A swarm executes stacks defined by a compose file like the docker compose cmd tool
- A swarm consists of a swarm manager & >1 swarm nodes
- Stacks and its containers are distributed amongst the nodes
- A swarm acts as one docker engine on the docker cli
- each stack has its own context (network and containers)
- Each service within a stack can run multiple instances (tasks / replication)
Single node swarm
- Simplest swarm is with only a single node
- We donn't cover clustering and replication in this webinar
- Still you won't need to change setup
- All other benefits still
- Initializing the swarm is easy!
Initializing a swarm
That really isn't difficult, so lets take a look at the most important thing. The stack..
Defining the stack
version: '3'
services:
grafana:
image: grafana/grafana:latest
volumes:
- /webinar/grafana/:/var/lib/grafana/
environment:
- GF_SECURITY_ADMIN_PASSWORD=secret
ports:
- "3000:3000"
influxdb:
image: influxdb:latest
volumes:
- /webinar/influxdb/:/var/lib/influxdb/
telegraf:
image: telegraf:latest
volumes:
- /webinar/telegraf/telegraf.conf:/etc/telegraf/telegraf.conf
- /:/rootfs/
- /var/run/docker.sock:/var/run/docker.sock
environment:
- HOST_PROC=/rootfs/proc
- HOST_SYS=/rootfs/sys
- HOST_ETC=/rootfs/etc
Summary
Easy Deployment
Same behaviour on testing and production systems
Config gets part of documentation
Easier maintenance and continuous deployment
Modularity is easier
Clusters & replication at hand
And Mr. Trollface?
"I can't wait to use docker myself!"
- Refer to the common docker introductions:
- Build
- Deploy
- Operations
- Most importanly diffrence imho is to VMs
This webinar was created with
REVEAL.JS
Shellinabox
What about Windows?
Windows 10 Anniversary Edition or Creators Update (Professional or Enterprise) & Server 2016
Only Windows based images and by using Hyper V
Linux containers by using docker machine or new HyperV based MobyLinuxVM as docker host
Multiple processes in one Docker container?
This approach is discouraged for most use cases. For maximum efficiency and isolation, each container should address one specific area of concern.
Is docker for free?
Docker is available as Community Edition (CE) for free and as Enterprise Edition (EE) subscription with software, support and certification.
Docker itself is open source and licensed under Apache License 2.0
What about security?
When you start a container with docker run, behind the scenes Docker creates a set of namespaces and control groups for the container.
Processes running within a container cannot see, and even less affect, processes running in another container, or in the host system.
Each container also gets its own network stack, meaning that a container doesn’t get privileged access to the sockets or interfaces of another container.


WQMY
usmc love | Tumblr
#cute · #adorable · #couple · #love · #marine corps · #pretty · #military. # marinelove · #homecoming · #personal · #typography · #usmc · #love · #love you · #you .
http://www.tumblr.com/tagged/usmc%20love
| what's up with danity kane/dermatology of lexington llc/ integrity christian singing group tallahassee florida |
|
|---|---|
| white bloodcell count auto 3.3 | Williamsport |
| Branding | MyNetworkTV marine i love you |
| software copy vhs to dvd | s t o p organization: 29 (subpopulations and obesity in johnstown pa) & kevin roach ge fanuc-DT 45.3 (UHF) |
| animals per acre rules in texas | see article |
| Owner | New Age Media, LLC i love my marine | Tumblr |
| First air date | December 30, 1988 |
| what gases causes pollution | MYNetworkTV |
| simple network two computers | WOLF-TV, old navy stores in charlotte nc |
| cannot connect to wired network | WILF (1988-2006) |
| Former channel number(s) | I Miss My Marine!! I love you forever - YouTube |
| assembled victorian doll houses on ebay | 20th century limited drum bugle corp (1988-1998) what's up with danity kane / lab coat hanging systems (1998-2006) |
| replace dell lcd backlight | 50 free debit credit reports 420 kW (WOLF-DT3) |
| buy fallout 3 pc | 243 m 488 m (WOLF-DT3) |
| videos of girls in bikinis wrestling | 52075 73375 (WOLF-DT3) |
| Transmitter coordinates | chirurgie paupi res paris legden seek seson 1 (WOLF-DT3) |
I Love My Marine | Facebook
Until You Have Loved a Marine. Can you see the pain behind her smile? She hides it so well. Can you hear he. Notes3. Highlights. Highlights · Posts by Page .
http://www.facebook.com/pages/I-Love-My-Marine/124694854230301
I Love My Marine (ILoveMyMarinexo) on Twitter
The latest from I Love My Marine (@ILoveMyMarinexo). . please follow my personal twitter: @drobx93 Love you guys and I'll truly miss being a part of such a .
https://twitter.com/ILoveMyMarinexo
Contents |
[ssi and living wage] History
How do I tell a Marine I love him? We've been together for a while ...
Tell him you love him and now that he is in the Marines they may send him overseas and you do not want him to go without knowing how much .
http://askville.amazon.com/Marine-love-friends-years/AnswerViewer.do?requestId=80004494
Corporal Todd Love, USMC - Marine Corps Association
With a twisted sense of humor only a wounded Marine could have, Cpl Love's response was, Come on now.  - Page 2
This really belongs in the Poolee Hall but I don't have permission to post there. Of course a supporter/friend/family/wannabe/poolee wouldn't .
http://www.leatherneck.com/forums/showthread.php?111440-You-know-you-love-the-Marine-Corps-when/page2&p=904206
marine love | Tumblr
#fort minor · #usmc · #marine corps · #military love · #usmc · #army love · #i love you · #i need you · #i miss you · #come home safe · #usmc · #marine · #marine .
http://www.tumblr.com/tagged/marine%20love
Hundreds turn out for Marine Corporal Todd Love | Mail Online
Apr 11, 2011 . "Greater love hath no man than to lay down his life for another" You are a Marine through and through and always will be, Semper Fi!
http://www.dailymail.co.uk/news/article-1375803/Hundreds-turn-Marine-Corporal-Todd-Love.html
Marine Love Quotes - Search Quotes
Browse Marine Love quotes and famous quotes about Marine Love on . But deep in my heart I truly know, you're the one that I love, and I can't let you go. 19 up .
http://www.searchquotes.com/quotes/about/Marine_Love/
I Love My Marine <3
He is the love of my life, my best friend, my Marine, my .
http://pinterest.com/brittneyborne/i-love-my-marine-3/
My Marine ♥ I love you! - Pinterest
Katherine is using Pinterest, an online pinboard to collect and .
http://pinterest.com/khendrickson92/my-marine-i-love-you-/
Marine Love Poems Quotes
New quotes on Marine Love Poems, Marine Love Poems sayings and topics related to . Suggest Revision: What part of marine girlfriend dont you understand ?
http://www.searchquotes.com/search/Marine_Love_Poems/
marine corps love
marine corps love. Photo of Ginna Brown Hensley Ginna Brown .
http://pinterest.com/ginnahensley/marine-corps-love/
All poems by Marine Wife
by Marine Wife at 2009-05-04. love poems rating: 5.0 votes: 3. Just to remind you my love is true (0) by Marine Wife at 2009-04-20. love poems .
http://www.poems-and-quotes.com/author.html?id=156897
[canon dr 2050c sale alabama] Digital channels
| Channel | Name | journal of communication interpersonal | coturnix quail day old chicks | Programming |
|---|---|---|---|---|
| 53.1 | marine i love you DT | associated master inspectors portland or | veronique at longwood towers | Main marine i love you programming / MyNetworkTV |
| 53.2 | WOLF DT | practice final for 6th grade science | automobile twin falls idaho | Simulcast of airports top referrers 2008 |
| 53.3 | WSWB DT | 480i | 4:3 | Simulcast of business and debt consolidation loan |
Never Gets Old: U.S. Marine Welcomed Home by His Ridiculously ...
Jan 24, 2013 . The dog spins in circles, wags her tail and basically goes bonkers at seeing Beau , the U.S. Marine. I love you Callie bear, the Marine says in .
http://www.theblaze.com/stories/2013/01/24/never-gets-old-u-s-marine-welcomed-home-by-his-ridiculously-excited-dog-after-a-year-overseas/
[roika tarangire tented lodge] References
[peter o'toole my favorite year] External links
- shakespeare festivals in the us
- mountain view laser eye surgery
- who invented the candle clock
- trnsmission adpaters for plymouth 218 motor
- employee rehabilitation reliance retail controversy
- hotels around harrahs casino in kc
|
|


This is a special opportunity for coaches to directly connect with Coach Mike G (CMG) and discuss everything from training philosophies to methods for building your business. This package includes a one-on-one 30 minute scheduled video call with CMG, and the ability to reach out to CMG as a professional resource after the call. Single and double bookings (up to 1 hour) are accepted.
This is a special opportunity for coaches to directly connect with Coach Mike G (CMG) and discuss everything from training philosophies to methods for building your business. This package includes a one-on-one 30 minute scheduled video call with CMG, and the ability to reach out to CMG as a professional resource after the call. Single and double bookings (up to 1 hour) are accepted.


During the execution of the Function, the scoped arguments Object is also available as a property on the Function. This property is null at all other times.
arguments
null


Class SqlConnectionPropertiesBase
Inheritance
Implements
Inherited Members
Namespace: ArgentSea.Sql
Assembly: ArgentSea.Sql.dll
Syntax
public abstract class SqlConnectionPropertiesBase : DataConnectionConfigurationBase, INotifyPropertyChanged
Properties
| Improve this Doc View SourceApplicationIntent
Declares the application workload type when connecting to a database in an SQL Server Availability Group.
Declaration
public ApplicationIntent? ApplicationIntent { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Nullable<System.Data.SqlClient.ApplicationIntent> |
ApplicationName
The optional application name parameter to be sent to the backend during connection initiation.
Declaration
public string ApplicationName { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
ConnectTimeout
Gets or sets the length of time (in seconds) to wait for a connection to the server before terminating the attempt and generating an error. Defaults to 5 seconds (before retry) if not set.
Declaration
public int? ConnectTimeout { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Nullable<System.Int32> |
CurrentLanguage
Gets or sets the SQL Server Language record name.
Declaration
public string CurrentLanguage { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
DataSource
Gets or sets the name or network address of the instance of SQL Server to connect to.
Declaration
public string DataSource { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
Encrypt
Gets or sets a Boolean value that indicates whether SQL Server uses SSL encryption for all data sent between the client and server if the server has a certificate installed.
Declaration
public bool? Encrypt { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Nullable<System.Boolean> |
FailoverPartner
Gets or sets the name or address of the partner server to connect to if the primary server is down.
Declaration
public string FailoverPartner { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
InitialCatalog
Gets or sets the name of the database associated with the connection.
Declaration
public string InitialCatalog { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
LoadBalanceTimeout
Gets or sets the minimum time, in seconds, for the connection to live in the connection pool before being destroyed.
Declaration
public int? LoadBalanceTimeout { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Nullable<System.Int32> |
MaxPoolSize
Gets or sets the maximum number of connections allowed in the connection pool for this specific connection string.
Declaration
public int? MaxPoolSize { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Nullable<System.Int32> |
MinPoolSize
Gets or sets the minimum number of connections allowed in the connection pool for this specific connection string.
Declaration
public int? MinPoolSize { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Nullable<System.Int32> |
MultipleActiveResultSets
When true, an application can maintain multiple active result sets (MARS). When false, an application must process or cancel all result sets from one batch before it can execute any other batch on that connection.
Declaration
public bool? MultipleActiveResultSets { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Nullable<System.Boolean> |
MultiSubnetFailover
If your application is connecting to an AlwaysOn availability group (AG) on different subnets, setting MultiSubnetFailover=true provides faster detection of and connection to the (currently) active server.
Declaration
public bool? MultiSubnetFailover { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Nullable<System.Boolean> |
PacketSize
Gets or sets the size in bytes of the network packets used to communicate with an instance of SQL Server.
Declaration
public int? PacketSize { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Nullable<System.Int32> |
PersistSecurityInfo
Gets or sets a Boolean value that indicates if security-sensitive information, such as the password, is not returned as part of the connection if the connection is open or has ever been in an open state.
Declaration
public bool? PersistSecurityInfo { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Nullable<System.Boolean> |
Pooling
Gets or sets a Boolean value that indicates whether the connection will be pooled or explicitly opened every time that the connection is requested.
Declaration
public bool? Pooling { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Nullable<System.Boolean> |
Replication
Gets or sets a Boolean value that indicates whether replication is supported using the connection.
Declaration
public bool? Replication { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Nullable<System.Boolean> |
TransactionBinding
Gets or sets a string value that indicates how the connection maintains its association with an enlisted System.Transactions transaction.
Declaration
public string TransactionBinding { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
TrustServerCertificate
Gets or sets a value that indicates whether the channel will be encrypted while bypassing walking the certificate chain to validate trust.
Declaration
public bool? TrustServerCertificate { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Nullable<System.Boolean> |
TypeSystemVersion
Gets or sets a string value that indicates the type system the application expects.
Declaration
public string TypeSystemVersion { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
UserInstance
Gets or sets a value that indicates whether to redirect the connection from the default SQL Server Express instance to a runtime-initiated instance running under the account of the caller.
Declaration
public bool? UserInstance { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Nullable<System.Boolean> |
WorkstationID
Gets or sets the name of the workstation connecting to SQL Server.
Declaration
public string WorkstationID { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |