new Account(api_keyopt)
Parameters:
| Name |
Type |
Attributes |
Description |
api_key |
string
|
<optional>
|
|
- Source:
Methods
create(account, cb)
Creates an account from the json object
Parameters:
| Name |
Type |
Description |
account |
object
|
an object specifying fields for the new account |
cb |
objectCallback
|
called with the new account |
- Source:
destroy(id, cb)
Deletes the account with the specified id
Parameters:
| Name |
Type |
Description |
id |
number
|
the id of the account |
cb |
stringCallback
|
called with a success message |
- Source:
find_by(field, value, listopt, cb)
gets accounts such that field matches the value
Parameters:
| Name |
Type |
Attributes |
Description |
field |
string
|
|
the name of the field to search by |
value |
string
|
|
the value to match |
list |
Array
|
<optional>
|
an optional array of accounts to search (if given,
the search will not make http requests, improving
speed) |
cb |
arrayCallback
|
|
called with an array containing the matching
accounts |
- Source:
get(id, cb)
gets a JSON object containing data for a single account
Parameters:
| Name |
Type |
Description |
id |
number
|
the id of the account |
cb |
objectCallback
|
called with the account |
- Source:
list(flagsopt, cb)
gets a JSON object containing all the accounts
Parameters:
| Name |
Type |
Attributes |
Description |
flags |
object
|
<optional>
|
an object specifying the following options
Properties
| Name |
Type |
Attributes |
Description |
page |
number
|
<optional>
|
the page number of the page to get |
page_count |
number
|
<optional>
|
the number of accounts to list per page |
all |
boolean
|
<optional>
|
if true, return complete list (all pages) but this may take longer |
stats |
boolean
|
<optional>
|
if true, the page count, number of entries per
page, and number of pages will be given in an
object rather than the array of accounts |
|
cb |
arrayCallback
|
|
called with an array of accounts |
- Source:
set_api_key(api_key)
sets the api key to use when making calls to CloudHealth's API
Parameters:
| Name |
Type |
Description |
api_key |
string
|
|
- Source:
update(account, cb)
Updates fields for the account with the specified id to match the given object
Parameters:
| Name |
Type |
Description |
account |
object
|
an object specifying fields with updated values
Properties
| Name |
Type |
Description |
id |
number
|
the id of the account |
|
cb |
objectCallback
|
called with the updated account |
- Source:


I have based my Learning Agreement on my strength and limitations, which you can read more about here.
I will manage my workload in this programme by communicating with other learners, facilitators and industry/community representatives in an open, supportive, respectful and honest manner. I will take the following specific steps to achieve this;
I have been perhaps overly-conscious in the past of some natural weaknesses, specifically stubborness or being domineering. This has led to me overcompensating, and scenarios where I have not contributed as much as I could have for fear of coming across this way. I therefore want to focus on finding the right balance, and trusting and allowing myself to actively contribute differing views or opinions which are appropriate and necessary in a healthy, safe learning environment.
I will seek help in the following order;
I expect guidance from the facilitation team, as opposed to answers and information. I would like them to teach me to learn, rather than teach me the answers.
For the foundations section of the course, I have blocked out time for my full-time job, and have created a schedule on Google Calendars which provides the framework for a minimum of 15 hours per week of study.
For the bootcamp section of the course, I have blocked out the entire nine weeks to focus solely on the course. I will also block out time for a minimum of three one-hour runs or work-outs per week. I have also blocked out one weekend to attend a wedding having already spoken to my facilitator about this, and will communicate with her on any other requirements that may come up in future.
I aim to contribute as much as I take from the course, through meaningful interactions with all my peers. I will be punctual, dependable and present and will be committing myself fully to all coursework and projects.
Having now reached the end of foundations sprint 5, I am adding the updates below to my learning plan in preparation for bootcamp.
"What is the difference between Margin, Border and Padding?"
The answer is surprisingly simple. Let's use the picture below to illustrate;
The margin is the space around the very outside of your element.
Think of the border as the "frame" around your element. The border is directly inside the margin.
The padding is the space between your element and the border.
Think of it like this; The new laptop you ordered online has just arrived. Your laptop (element) is wrapped in styrofoam (padding) inside a cardboard box (border). The air between the package and whatever else it is touching is the margin.
Let's use the homepage of this blog to show some specific examples of Margins, Borders and Padding. Here is what the page usually looks like:
Now, let's highlight Margin, Border and Padding using the same colour scheme as earlier. (We will focus just on the first "div" at the top of the screen. If you're not sure what a "div" is, I just mean the big rectangle that says "My Blog" and has some links in it);
And that is basically it! From these three basic building blocks, however, the design possibilities are endless.
For example, did you notice that you can only see the green padding around three sides of the div? I removed the bottom padding because I wanted my links to sit snugly on top of the bottom border.
I gave this div the class "banner", and wrote the code below. Done!
Now try it out yourself. You can highlight the margin, border and padding like on any webpage you visit by right-clicking and selecting "inspect"......
....and navigating to the "Computed" tab.
All you need to do now is hover your mouse over the code you want to inspect (in the elements tab). I highly recommend getting in the habit of doing this. It really solidified my understanding of the concepts. Next time you see an interesting website, and you are unsure what is happening with Margin, Border and Padding, take the time to inspect.
Enjoy!


Generates simulated data representing the LOX drop testing process (also known as impact testing). A simulated process allows for accelerated study of test behavior. Functions are provided to simulate trials, test series, and groups of test series. Functions for creating plots specific to this process are also included. Test attributes and criteria can be set arbitrarily. This work is not endorsed by or affiliated with NASA. See "ASTM G86-17, Standard Test Method for Determining Ignition Sensitivity of Materials to Mechanical Impact in Ambient Liquid Oxygen and Pressurized Liquid and Gaseous Oxygen Environments" <doi:10.1520/G0086-17>.
| Version: | 0.1.3 |
| Depends: | R (≥ 3.4.0) |
| Imports: | data.table |
| Published: | 2018-09-19 |
| Author: | Chad Ross [aut, cre] |
| Maintainer: | Chad Ross <chad.ross at gmail.com> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/chadr/droptest |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | droptest results |
| Reference manual: | droptest.pdf |
| Package source: | droptest_0.1.3.tar.gz |
| Windows binaries: | r-devel: droptest_0.1.3.zip, r-release: droptest_0.1.3.zip, r-oldrel: droptest_0.1.3.zip |
| OS X binaries: | r-release: droptest_0.1.3.tgz, r-oldrel: droptest_0.1.3.tgz |
| Old sources: | droptest archive |
Please use the canonical form https://CRAN.R-project.org/package=droptest to link to this page.


| Physical Location: J307 Lab: Gunner Lab Department: Physics IP: <IP_ADDRESS> Administrator: Yanjun Wang |
PaperworkItems kept by Jun Zhang:
Items kept by Yanjun
|
Home
Policies and Documentation
Computing Resources
Programming Resources
Administration
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Last Updated: 09/20/2004, Gunner Lab, City College of New York, 2004


The Rise of Fake News
How do we discern what is true and what is ‘fake news’ in the fast-paced age of social media and technology? Our technology editor David Grossman reports.
Newsnight is the BBC's flagship news and current affairs TV programme - with analysis, debate, exclusives, and robust interviews.
Who starts viral misinformation?
Conspiracy theories and speculation about coronavirus have flooded social media. But who starts these rumours? And who spreads them?
Specialist disinformation reporter Marianna Spring has investigated lots of misleading stories circulating online during the pandemic.
It's given her an idea about who is behind this misinformation - and what motivates them. Laughs, power, clicks - or answers.
Many of us like to share news and stories on social media with our friends.
This Cyber Civics student video asks (and answers) the million dollar question: What is Fake News? Learn more: www.cybercivics.com
How false news can spread
In previous decades, most news with global reach came from several major newspapers and networks with the resources to gather information directly. The speed with which information spreads now, however, has created the ideal conditions for something called circular reporting. Noah Tavlin sheds light on this phenomenon.
How Fake News Works and How the Internet Can Stop It
Many fake news peddlers didn’t care if Trump won or lost the election. They only wanted to pocket money. But the consequences of what they did shook the world. This is how it happened.
Tips for Spotting Fake News
Educational video for children to learn what fake news is and how to spot them. There are news stories on the internet which are not real; these are known as fake news. Sometimes, fake news are shared to make us laugh, to get more likes or to hurt someone. It's important to remember that virtual is real, that's why it's essential to be able to tell whether or not news is fake, especially before sharing it. In this educational video, children will be given several tips and advice to learn how to tell the difference between fake and real news, how not to trust exaggerated numbers, how to double-check dates and author's name or be doubtful when they come across expressions like "important" or "you'd never believe that". This video includes examples and encourages children to double-check with the help of an adult if the information is real. It's important to think before sharing something and remember that our actions can make a difference.


In the Live Templates settings, use speed search to find templates with certain text in the template abbreviation, body or description.
Start typing the desired text, and the list of available templates will shrink to show matching templates only:


Hi, my name is Laurie. I am originally from central lower Michigan, however, Marquette has been my home for the last 12 years. I am the proud owner of Opalus Salon and have been in the industry for 8 years. In addition to all the usual hair services I have been doing eyelash extensions for 4 years and was the first Novalash expert in Marquette. I love getting to know people. My prices are competitive and I offer senior and student discounts. I think we may provide a value above and beyond what you’ve experienced elsewhere.
Hi, I'm Megan. I've been working steadily in this industry since 2012 and am inspired by the opportunity to help my clients find their inner beauty and confidence! On a typical day you can find me behind the chair working on inspired cuts and colors, including classic or creative styles, or offering one of my many relaxing, hydrating treatments. I am also available for hair and makeup services at special occasions such as weddings. With certifications in both Keratherapy and Brazilian Blowout treatments I am very proud and honored to be a part of the Opalus Salon team!
Follow me on Instagram: @meganellenh
My name is Jenni, I am one of the stylists here at Opalus Salon. I have been in the industry for just over 9 years, and absolutely love it! I love Creative Color, and Haircutting, combining my love of fashion design, art, and hair design I will create a customized look just for you that expresses your individuality and style! If you’d like to see my work feel free to visit my personal website where you can also book your appointment: jennidoeshair.com
My name is Audrey, I was born and raised in Marquette MI, I have been in the hair industry for two years now. I love doing fun color, mens and womens cuts, kids cuts, and also have experience with and enjoy hanidicaped and special needs clients. I give military and student discounts, and love running speacials for NMU students. As of right now I have jobs in other industrys so my scheduele is Fridays only, but I am open for new clients!


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Installation¶
Requiremenets¶
Linux or macOS with Python ≥ 3.6
PyTorch ≥ 1.8 and torchvision that matches the PyTorch installation. Install them together at pytorch.org to make sure of this
fvcore
pytorch_transformers
jsonlines
pycocotools
Download X-modaler¶
After satisfying all the requirements, run:
git clone https://github.com/YehLi/xmodaler.git --recursive
Now, you can build your own frameworks using APIs supported by X-modaler !


| 97 Adipate Plasticizer General Information
-
| Synonyms: |
DHODA; Di-C7-9-alkyl adipate; Hexanedioic acid, di-C7-9-branched and linear alkyl esters |
| CAS Registry No.: |
68515-75-3 |
| Chemical Category: |
Adipates |
Usage and Performance Characteristics
-
| Manufacturer: |
Solutia Inc. |
| Outstanding Properties: |
Enhanced low temperature performance |
| Used for Polymeric Materials: |
PVC, PU, cellulosics, rubber |
| Used for Products: |
Film & sheeting, coatings |
Physical Properties
-
| Specific Gravity: |
0.92 (25°C) |
| Aggregate State at 25°C: |
Liquid |
| Surface Tension, mN/m: |
30.3 (25°C) |
| Dynamic Viscosity, cP: |
12.8 (25°C) |
| Vapor Pressure, kPa: |
0.44 (200°C) |
Chemical Properties
Optical Properties
Hazard-Related Data
-
| OSHA Hazard Class: |
Not considered a hazardous substance |
| Autoignition Temperature, °C: |
232 |
| Eye Irritation (human): |
None - rabbit |
| Flash Point Temperature, °C: |
204 |
| HMIS Personal protection: |
Safety glasses, gloves, lab. coat |
Environmental Parameters
-
| Biodegradation Probability: |
SCAS(OECD 302A) degradation 67% 24h |
| Octanol-Water Partition Coeff., log Kow: |
7.55 |
Aquatic Toxicity
-
| Fathead Minnow, 96-h LC50, mg/L: |
>1,000 |
| Rainbow Trout, 96-h LC50, mg/L: |
>1,000 |
Animal Toxicity
-
| Rabbit Dermal, LD50, mg/kg: |
>7,940 |
| Rat Oral, LD50, mg/kg: |
>14,000 |
Plasticizers Database (2nd Electronic Edition) Copyright © 2004 by ChemTec Publishing |


com.arcusweather.forecastio
Classes
ForecastIO
ForecastIOAlert
ForecastIOAlerts
ForecastIOCurrently
ForecastIODaily
ForecastIODataBlock
ForecastIODataPoint
ForecastIOFlags
ForecastIOHourly
ForecastIOMinutely
ForecastIOResponse


Registration for the October 2021 DESC Sprint Week
Monday - Friday, October 25 - October 29, 2021
This meeting will be organized as a hybrid event. Participants are welcome to join over Zoom or in-person
at one of our three hubs: the University of Illinois at Urbana-Champaign (UIUC), Princeton University,
or the Astroparticle and Cosmology (APC) laboratory in Paris.
Filling out this form does not guarantee you an in-person spot. We will try to accomodate everyone, but due to current COVID regulations, spots are limited and will be filled on a first-come, first-serve basis. See the pop-up windows in 'Participation Format' below for more information on site-specific capacities, registration fees, COVID testing or vaccination requirements, etc.
Please join the LSSTC Slack channel
#desc-hack-sprint to keep updated on chats, discussions, and announcements during the meeting!
You can find the the details of the schedule on this
confluence page.


--- layout: page title: "About" description: "A bit about myself" header-img: "/img/wood-coffee-iphone-notebook.jpg" activePage: "about" ---
My name is Alex O'Callaghan and I'm a software developer from London, England. I have a particular interest in web application development and I completed BSc Computer Science at the University of Southampton in 2017.


Prediction Result
{% if prediction == 1%}
Spam
{% elif prediction == 0 %}
Not a Spam (It is Ham)
{% endif %}


|
CornWhen we look back at that first Thanksgiving, so many years ago, it's tempting to feel bad for the Native Americans, who foolishly welcomed the Pilgrims and were subsequently violently massacred and given smallpox by the White Invaders from Europe.There's some merit to this point of view, but there is at least some small ironic satisfaction in knowing that the natives introduced the Europeans to the substance which may yet be their downfall -- corn. Corn is not inherently bad. There's a lot to be said for it. It's a hardy plant that grows with relative ease in a wide variety of climates. It can be served in a wide variety of ways. It can be mass produced affordably and it can be used to make a number of useful derivative products. The question is: Did God in his infinite wisdom mean for every living thing on the planet to eat corn as part of every meal, every day, in mass quantities, from children to senior citizens to cows? You see, it's not just gnawing on an ear of corn from the garden. Corn starch is used in virtually every bread or pastry you can buy in a major chain grocery store. And with a few scattered exception, every bread you can buy anywhere else too. Corn starch, syrup and cellulose are used in every medicine you can put in your mouth. Then there's the sugar. Any time you see the simple word sugar on an ingredient list you can substitute "corn syrup." That means in soda, in cookies, in candy bars, even in BAGS OF SUGAR. And not just sugar. Almost every sugar-free sweetener on the market today is made from a corn product. But just because it doesn't taste sugary doesn't mean you're clear. Corn syrup, starch and/or oil is added to french fries, peanut butter, saltines, steak sauce, table salt, margarine, iced tea, fruit juice (even ones that claim to be 100% juice), "raw" honey, fish sticks, soy milk, wine, beer, liquor, chicken nuggets, flour, barley, caramel, Vitamin C, vanilla extract, vinegar and/or yeast. Corn-derived glycerin is found in almost every soap, lotion, toothpaste and shampoo. Anything on the label you can't pronounce is better than even odds to be corn. Considering all this, you would think the corn industry would be a fiercely independent group of farmers who are sitting pretty on the fruits of their labor. Not so! The U.S. corn industry (easily the world leader) gets $5.5 BILLION in federal subsidies, an ample amount of which is kicked back to politicians in the form of campaign contributions, thus perpetuating a system in which the national interest is heavily invested in creating more and more and MORE avenues through which to feed corn to an unsuspecting public. But, amazingly enough, it gets worse. Not satisfied with being the largest single component of the average American's diet, the corn industry genetically modifies its product, sometimes without government supervision, and then distributes the end results to consumers without labeling it. And genetically modified "supercorn" is now sweeping through North America much like Hitler wanted the Aryan strain to sweep over Europe. GM corn has already profoundly damaged Mexico's native "wild" strains of corn. Pretty soon, there won't be any unaltered corn left, even for comparison purposes. All this would be bad enough on the face of it. The human metabolism and digestive system craves variety. Too much of the same thing is bad, especially when that thing — corn — is so undigestible that the unprocessed kernels will pass untouched through your entire digestive system to emerge whole and unscathed in your feces. In this paradigm, people are only a little better off than cattle. Almost every chicken, pig and cow in the United States is force-fed corn. Even salmon! Alas, these animals can't properly digest a diet of all corn (not to mention the massive amounts of pesticides used to keep the corn bug free). So the livestock gets sick. That sickness is treated by antibiotics and hormones which then bleed into virtually every piece of meat or cup of milk served in America, making the people who consume them sick.  The corn lobby, one of the most powerful in American politics, does not want to see that question answered. Not surprisingly, there has been little research done on the topic at our fine government supported universities and research labs. Scratch "little." There are NO studies covering the broad societal issue. What little information HAS trickled out is pretty alarming. The most obvious health effect of the corn glut is obesity. Granted, with a few exceptions, most people who are overweight have only themselves to blame. But we live in a world where the food industry spends millions of dollars marketing sugar (aka corn syrup) to PRE-SCHOOLERS. Food manufacturers hire people with doctorates in child psychology to help them outsmart four-year-olds (and their parents). You can even buy corn puffs coated with corn syrup, made expressly for kindergarten kids. The processed sugar game leads to its own complications, including hyperglycemia and hypoglycemia. The symptoms for each of these disorders, interestingly enough, can be alleviated by eating more sugar, much like the symptoms for heroin withdrawal can be treated by taking heroin. Drug guru Terence McKenna long argued that refined sugar easily fits the technical definition of an addictive drug — after all, it's harmful to your health and you suffer withdrawal symptoms if you try to quit using it. Nevertheless, heroin is considered "bad" but extraneous sugar (aka corn) is included in food and medicine products aimed at ONE-YEAR-OLDS. Other possible effects of excessive corn consumption include diabetes (related to the aforementioned hypoglycemia), heart disease and tooth decay. An unknown number of people additionally suffer from corn allergies. The reason the number is unknown is that it's difficult to remove all the corn from your diet to test the premise (especially if you eliminate corn-fed meat and corn-treated meat products). And if you somehow succeed in doing so, you will find that you have incidentally have removed virtually everything else from your diet as well. So what does the future hold? More corn, in all likelihood. The U.S. government is putting out something on the order of $20 billion in farm subsidies a year, the most concentrated portion of which goes for corn. Bush administration Health and Human Services director Tommy Thompson, the overweight man purportedly in charge of keeping the nation healthy, told ABC News in 2003 that the gigantic corn subsidies don't affect nutrition for Americans. You see, he explained, "the subsidy programs are things that are done through Congress." He didn't complete the thought, but we'll do it for him: "Naturally, anything done by Congress can't possibly have an effect on real people."


{% extends 'mybase.html' %} {% block css %} {% endblock %} {% block title %}Thanks for your book donation{% endblock %} {% block content %} Thanks very much for your donation {% endblock %}


TerminateExecution for WebAssembly in DevTools
This tests that WebAssembly handles TerminateExecution
properly.
Steps
- Open DevTools
- Set a breakpoint in
terminate-execution.wasm
- Reload this page and observe that DevTools is paused on the breakpoint
- Stop execution, nothing should be printed to the Console


Lazy Consensus
The concept of "Lazy Consensus" is very important in any apache project. Lazy Consensus means that when you are convinced that you know what the community would like to see happen you can simply assume that you already have consensus and get on with the work. You don't have to insist people discuss and/or approve your plan, and you certainly don't need to call a vote to get approval. You just assume you have the community's support unless someone says otherwise.
We have a time machine (Subversion), this means that as long as you commit (or submit patches) early and often the community has plenty of opportunity to indicate disapproval. If you believe the community will support your action you can operate on lazy consensus as long as you are prepared to roll back any work should a valid objection is raised.
Avoiding Unnecessary Discussion
The key thing about lazy consensus is that it's easier for people to agree, by doing nothing, than it is to object, which requires an alternative to be proposed. This has two effects, firstly people are less likely to object for the sake of it and secondly it cuts down on the amount of unnecessary mail traffic and discussion.
Lazy consensus means we can avoid waiting for a community based decision before proceeding. However, it does require everyone who cares for the health of the project to watch what is happening, as it is happening. Objecting too far down the road will cause upset, but objecting (or asking for clarification of intent) early is likely to be greeted with relief that someone is watching and cares.
Stating Lazy Consensus
Sometimes a member of the community will believe a specific action is the correct one for the community but are not sure enough to proceed with the work under the lazy consensus model. In these circumstances they can state Lazy Consensus is in operation.
What this means is that they make a proposal and state that they will start implementing it in 72 hours unless someone objects. 72 hours is chosen because it accounts for different timezones and non-apache commitments.
In this approach the original proposal is not insisting that there is a discussion around their proposal, nor are they requesting that the community explicitly supports their actions. However, this differs from assuming lazy consensus since it allows space and time to express support or objections and corrections to the proposal before work begins.
Silence is consent
People may choose to indicate their support for the actions taken with a +1 mail - quick and easy to read and reassuring for the implementer. However, remember, in a lazy consensus world silence is the equivalent to support. This can take some time to get used to.
</article>


Cash
Pay at the counter.
Note: Malaysia Prime Steak House will only continue order after payment is succesful at the counter.
Bank account details
- BANK:
- Maybank
- Account number:
-<PHONE_NUMBER>
- Name:
- Malaysia Prime Steak House
Note: Please send proof of payment to +60123456789 through WhatsApp.


This example expands upon the Binding example. It shows how to implement the same functionality but in a more organized and object-oriented fashion
Note that the js is not minified so it is readable. See binding-with-classes.js.


my $foo = ''; vec($foo, 0, 32) = 0x5065726C; # 'Perl' # $foo eq "Perl" eq "\x50\x65\x72\x6C", 32 bits print vec($foo, 0, 8); # prints 80 == 0x50 == ord('P') vec($foo, 2, 16) = 0x5065; # 'PerlPe' vec($foo, 3, 16) = 0x726C; # 'PerlPerl' vec($foo, 8, 8) = 0x50; # 'PerlPerlP' vec($foo, 9, 8) = 0x65; # 'PerlPerlPe' vec($foo, 20, 4) = 2; # 'PerlPerlPe' . "\x02" vec($foo, 21, 4) = 7; # 'PerlPerlPer' # 'r' is "\x72" vec($foo, 45, 2) = 3; # 'PerlPerlPer' . "\x0c" vec($foo, 93, 1) = 1; # 'PerlPerlPer' . "\x2c" vec($foo, 94, 1) = 1; # 'PerlPerlPerl' # 'l' is "\x6c"
To transform a bit vector into a string or list of 0's and 1's, use these:
$bits = unpack("b*", $vector); @bits = split(//, unpack("b*", $vector));
If you know the exact length in bits, it can be used in place of the "*".
Here is an example to illustrate how the bits actually fall in place:
#!/usr/bin/perl -wl print <<'EOT'; 0 1 2 3 unpack("V",$_)<PHONE_NUMBER>0123456789012345678901 ------------------------------------------------------------------ EOT for $w (0..3) { $width = 2**$w; for ($shift=0; $shift < $width; ++$shift) { for ($off=0; $off < 32/$width; ++$off) { $str = pack("B*", "0"x32); $bits = (1<<$shift); vec($str, $off, $width) = $bits; $res = unpack("b*",$str); $val = unpack("V", $str); write; } } } format STDOUT = vec($_,@#,@#) = @<< == @######### @>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> $off, $width, $bits, $val, $res . __END__
Regardless of the machine architecture on which it is run, the above example should print the following table:
0 1 2 3 unpack("V",$_)<PHONE_NUMBER>0123456789012345678901 ------------------------------------------------------------------ vec($_, 0, 1) = 1 == 1<PHONE_NUMBER>0000000000000000000000 vec($_, 1, 1) = 1 == 2<PHONE_NUMBER>0000000000000000000000 vec($_, 2, 1) = 1 == 4<PHONE_NUMBER>0000000000000000000000 vec($_, 3, 1) = 1 == 8<PHONE_NUMBER>0000000000000000000000 vec($_, 4, 1) = 1 == 16<PHONE_NUMBER>0000000000000000000000 vec($_, 5, 1) = 1 == 32<PHONE_NUMBER>0000000000000000000000 vec($_, 6, 1) = 1 == 64<PHONE_NUMBER>0000000000000000000000 vec($_, 7, 1) = 1 ==<PHONE_NUMBER>1000000000000000000000000 vec($_, 8, 1) = 1 ==<PHONE_NUMBER>0100000000000000000000000 vec($_, 9, 1) = 1 ==<PHONE_NUMBER>0010000000000000000000000 vec($_,10, 1) = 1 == 1024<PHONE_NUMBER>1000000000000000000000 vec($_,11, 1) = 1 == 2048<PHONE_NUMBER>0100000000000000000000 vec($_,12, 1) = 1 == 4096<PHONE_NUMBER>0010000000000000000000 vec($_,13, 1) = 1 == 8192<PHONE_NUMBER>0001000000000000000000 vec($_,14, 1) = 1 == 16384<PHONE_NUMBER>0000100000000000000000 vec($_,15, 1) = 1 == 32768<PHONE_NUMBER>0000010000000000000000 vec($_,16, 1) = 1 == 65536<PHONE_NUMBER>0000001000000000000000 vec($_,17, 1) = 1 ==<PHONE_NUMBER>0000000000000100000000000000 vec($_,18, 1) = 1 ==<PHONE_NUMBER>0000000000000010000000000000 vec($_,19, 1) = 1 ==<PHONE_NUMBER>0000000000000001000000000000 vec($_,20, 1) = 1 == 1048576<PHONE_NUMBER>0000000000100000000000 vec($_,21, 1) = 1 == 2097152<PHONE_NUMBER>0000000000010000000000 vec($_,22, 1) = 1 == 4194304<PHONE_NUMBER>0000000000001000000000 vec($_,23, 1) = 1 == 8388608<PHONE_NUMBER>0000000000000100000000 vec($_,24, 1) = 1 == 16777216<PHONE_NUMBER>0000000000000010000000 vec($_,25, 1) = 1 == 33554432<PHONE_NUMBER>0000000000000001000000 vec($_,26, 1) = 1 == 67108864<PHONE_NUMBER>0000000000000000100000 vec($_,27, 1) = 1 == 134217728<PHONE_NUMBER>0000000000000000010000 vec($_,28, 1) = 1 == 268435456<PHONE_NUMBER>0000000000000000001000 vec($_,29, 1) = 1 == 536870912<PHONE_NUMBER>0000000000000000000100 vec($_,30, 1) = 1 ==<PHONE_NUMBER><PHONE_NUMBER>0000000000000000000010 vec($_,31, 1) = 1 ==<PHONE_NUMBER><PHONE_NUMBER>0000000000000000000001 vec($_, 0, 2) = 1 == 1<PHONE_NUMBER>0000000000000000000000 vec($_, 1, 2) = 1 == 4<PHONE_NUMBER>0000000000000000000000 vec($_, 2, 2) = 1 == 16<PHONE_NUMBER>0000000000000000000000 vec($_, 3, 2) = 1 == 64<PHONE_NUMBER>0000000000000000000000 vec($_, 4, 2) = 1 ==<PHONE_NUMBER>0100000000000000000000000 vec($_, 5, 2) = 1 == 1024<PHONE_NUMBER>1000000000000000000000 vec($_, 6, 2) = 1 == 4096<PHONE_NUMBER>0010000000000000000000 vec($_, 7, 2) = 1 == 16384<PHONE_NUMBER>0000100000000000000000 vec($_, 8, 2) = 1 == 65536<PHONE_NUMBER>0000001000000000000000 vec($_, 9, 2) = 1 ==<PHONE_NUMBER>0000000000000010000000000000 vec($_,10, 2) = 1 == 1048576<PHONE_NUMBER>0000000000100000000000 vec($_,11, 2) = 1 == 4194304<PHONE_NUMBER>0000000000001000000000 vec($_,12, 2) = 1 == 16777216<PHONE_NUMBER>0000000000000010000000 vec($_,13, 2) = 1 == 67108864<PHONE_NUMBER>0000000000000000100000 vec($_,14, 2) = 1 == 268435456<PHONE_NUMBER>0000000000000000001000 vec($_,15, 2) = 1 ==<PHONE_NUMBER><PHONE_NUMBER>0000000000000000000010 vec($_, 0, 2) = 2 == 2<PHONE_NUMBER>0000000000000000000000 vec($_, 1, 2) = 2 == 8<PHONE_NUMBER>0000000000000000000000 vec($_, 2, 2) = 2 == 32<PHONE_NUMBER>0000000000000000000000 vec($_, 3, 2) = 2 ==<PHONE_NUMBER>1000000000000000000000000 vec($_, 4, 2) = 2 ==<PHONE_NUMBER>0010000000000000000000000 vec($_, 5, 2) = 2 == 2048<PHONE_NUMBER>0100000000000000000000 vec($_, 6, 2) = 2 == 8192<PHONE_NUMBER>0001000000000000000000 vec($_, 7, 2) = 2 == 32768<PHONE_NUMBER>0000010000000000000000 vec($_, 8, 2) = 2 ==<PHONE_NUMBER>0000000000000100000000000000 vec($_, 9, 2) = 2 ==<PHONE_NUMBER>0000000000000001000000000000 vec($_,10, 2) = 2 == 2097152<PHONE_NUMBER>0000000000010000000000 vec($_,11, 2) = 2 == 8388608<PHONE_NUMBER>0000000000000100000000 vec($_,12, 2) = 2 == 33554432<PHONE_NUMBER>0000000000000001000000 vec($_,13, 2) = 2 == 134217728<PHONE_NUMBER>0000000000000000010000 vec($_,14, 2) = 2 == 536870912<PHONE_NUMBER>0000000000000000000100 vec($_,15, 2) = 2 ==<PHONE_NUMBER><PHONE_NUMBER>0000000000000000000001 vec($_, 0, 4) = 1 == 1<PHONE_NUMBER>0000000000000000000000 vec($_, 1, 4) = 1 == 16<PHONE_NUMBER>0000000000000000000000 vec($_, 2, 4) = 1 ==<PHONE_NUMBER>0100000000000000000000000 vec($_, 3, 4) = 1 == 4096<PHONE_NUMBER>0010000000000000000000 vec($_, 4, 4) = 1 == 65536<PHONE_NUMBER>0000001000000000000000 vec($_, 5, 4) = 1 == 1048576<PHONE_NUMBER>0000000000100000000000 vec($_, 6, 4) = 1 == 16777216<PHONE_NUMBER>0000000000000010000000 vec($_, 7, 4) = 1 == 268435456<PHONE_NUMBER>0000000000000000001000 vec($_, 0, 4) = 2 == 2<PHONE_NUMBER>0000000000000000000000 vec($_, 1, 4) = 2 == 32<PHONE_NUMBER>0000000000000000000000 vec($_, 2, 4) = 2 ==<PHONE_NUMBER>0010000000000000000000000 vec($_, 3, 4) = 2 == 8192<PHONE_NUMBER>0001000000000000000000 vec($_, 4, 4) = 2 ==<PHONE_NUMBER>0000000000000100000000000000 vec($_, 5, 4) = 2 == 2097152<PHONE_NUMBER>0000000000010000000000 vec($_, 6, 4) = 2 == 33554432<PHONE_NUMBER>0000000000000001000000 vec($_, 7, 4) = 2 == 536870912<PHONE_NUMBER>0000000000000000000100 vec($_, 0, 4) = 4 == 4<PHONE_NUMBER>0000000000000000000000 vec($_, 1, 4) = 4 == 64<PHONE_NUMBER>0000000000000000000000 vec($_, 2, 4) = 4 == 1024<PHONE_NUMBER>1000000000000000000000 vec($_, 3, 4) = 4 == 16384<PHONE_NUMBER>0000100000000000000000 vec($_, 4, 4) = 4 ==<PHONE_NUMBER>0000000000000010000000000000 vec($_, 5, 4) = 4 == 4194304<PHONE_NUMBER>0000000000001000000000 vec($_, 6, 4) = 4 == 67108864<PHONE_NUMBER>0000000000000000100000 vec($_, 7, 4) = 4 ==<PHONE_NUMBER><PHONE_NUMBER>0000000000000000000010 vec($_, 0, 4) = 8 == 8<PHONE_NUMBER>0000000000000000000000 vec($_, 1, 4) = 8 ==<PHONE_NUMBER>1000000000000000000000000 vec($_, 2, 4) = 8 == 2048<PHONE_NUMBER>0100000000000000000000 vec($_, 3, 4) = 8 == 32768<PHONE_NUMBER>0000010000000000000000 vec($_, 4, 4) = 8 ==<PHONE_NUMBER>0000000000000001000000000000 vec($_, 5, 4) = 8 == 8388608<PHONE_NUMBER>0000000000000100000000 vec($_, 6, 4) = 8 == 134217728<PHONE_NUMBER>0000000000000000010000 vec($_, 7, 4) = 8 ==<PHONE_NUMBER><PHONE_NUMBER>0000000000000000000001 vec($_, 0, 8) = 1 == 1<PHONE_NUMBER>0000000000000000000000 vec($_, 1, 8) = 1 ==<PHONE_NUMBER>0100000000000000000000000 vec($_, 2, 8) = 1 == 65536<PHONE_NUMBER>0000001000000000000000 vec($_, 3, 8) = 1 == 16777216<PHONE_NUMBER>0000000000000010000000 vec($_, 0, 8) = 2 == 2<PHONE_NUMBER>0000000000000000000000 vec($_, 1, 8) = 2 ==<PHONE_NUMBER>0010000000000000000000000 vec($_, 2, 8) = 2 ==<PHONE_NUMBER>0000000000000100000000000000 vec($_, 3, 8) = 2 == 33554432<PHONE_NUMBER>0000000000000001000000 vec($_, 0, 8) = 4 == 4<PHONE_NUMBER>0000000000000000000000 vec($_, 1, 8) = 4 == 1024<PHONE_NUMBER>1000000000000000000000 vec($_, 2, 8) = 4 ==<PHONE_NUMBER>0000000000000010000000000000 vec($_, 3, 8) = 4 == 67108864<PHONE_NUMBER>0000000000000000100000 vec($_, 0, 8) = 8 == 8<PHONE_NUMBER>0000000000000000000000 vec($_, 1, 8) = 8 == 2048<PHONE_NUMBER>0100000000000000000000 vec($_, 2, 8) = 8 ==<PHONE_NUMBER>0000000000000001000000000000 vec($_, 3, 8) = 8 == 134217728<PHONE_NUMBER>0000000000000000010000 vec($_, 0, 8) = 16 == 16<PHONE_NUMBER>0000000000000000000000 vec($_, 1, 8) = 16 == 4096<PHONE_NUMBER>0010000000000000000000 vec($_, 2, 8) = 16 == 1048576<PHONE_NUMBER>0000000000100000000000 vec($_, 3, 8) = 16 == 268435456<PHONE_NUMBER>0000000000000000001000 vec($_, 0, 8) = 32 == 32<PHONE_NUMBER>0000000000000000000000 vec($_, 1, 8) = 32 == 8192<PHONE_NUMBER>0001000000000000000000 vec($_, 2, 8) = 32 == 2097152<PHONE_NUMBER>0000000000010000000000 vec($_, 3, 8) = 32 == 536870912<PHONE_NUMBER>0000000000000000000100 vec($_, 0, 8) = 64 == 64<PHONE_NUMBER>0000000000000000000000 vec($_, 1, 8) = 64 == 16384<PHONE_NUMBER>0000100000000000000000 vec($_, 2, 8) = 64 == 4194304<PHONE_NUMBER>0000000000001000000000 vec($_, 3, 8) = 64 ==<PHONE_NUMBER><PHONE_NUMBER>0000000000000000000010 vec($_, 0, 8) = 128 ==<PHONE_NUMBER>1000000000000000000000000 vec($_, 1, 8) = 128 == 32768<PHONE_NUMBER>0000010000000000000000 vec($_, 2, 8) = 128 == 8388608<PHONE_NUMBER>0000000000000100000000 vec($_, 3, 8) = 128 ==<PHONE_NUMBER><PHONE_NUMBER>0000000000000000000001
- wait
- Behaves like the wait(2) system call on your system: it waits for a child process to terminate and returns the pid of the deceased process, or "-1" if there are no child processes. The status is returned in $? and "${^CHILD_ERROR_NATIVE}". Note that a return value of "-1" could mean that child processes are being automatically reaped, as described in perlipc.
- waitpid PID,FLAGS
-
Waits for a particular child process to terminate and returns the pid of
the deceased process, or "-1" if there is no such child process. On some
systems, a value of 0 indicates that there are processes still running.
The status is returned in $? and "${^CHILD_ERROR_NATIVE}". If you say
use POSIX ":sys_wait_h"; #... do { $kid = waitpid(-1, WNOHANG); } while $kid > 0;
then you can do a non-blocking wait for all pending zombie processes. Non-blocking wait is available on machines supporting either the waitpid(2) or wait4(2) system calls. However, waiting for a particular pid with FLAGS of 0 is implemented everywhere. (Perl emulates the system call by remembering the status values of processes that have exited but have not been harvested by the Perl script yet.)
Note that on some systems, a return value of "-1" could mean that child processes are being automatically reaped. See perlipc for details, and for other examples.
- wantarray
-
Returns true if the context of the currently executing subroutine or
"eval" is looking for a list value. Returns false if the context is
looking for a scalar. Returns the undefined value if the context is
looking for no value (void context).
return unless defined wantarray; # don't bother doing more my @a = complex_calculation(); return wantarray ? @a : "@a";
"wantarray()"'s result is unspecified in the top level of a file, in a "BEGIN", "UNITCHECK", "CHECK", "INIT" or "END" block, or in a "DESTROY" method.
This function should have been named wantlist() instead.
- warn LIST
-
Prints the value of LIST to STDERR. If the last element of LIST does
not end in a newline, it appends the same file/line number text as "die"
does.
If LIST is empty and $@ already contains a value (typically from a previous eval) that value is used after appending "\t...caught" to<EMAIL_ADDRESS>This is useful for staying almost, but not entirely similar to "die".
If $@ is empty then the string "Warning: Something's wrong" is used.
No message is printed if there is a $SIG{__WARN__} handler installed. It is the handler's responsibility to deal with the message as it sees fit (like, for instance, converting it into a "die"). Most handlers must therefore make arrangements to actually display the warnings that they are not prepared to deal with, by calling "warn" again in the handler. Note that this is quite safe and will not produce an endless loop, since "__WARN__" hooks are not called from inside one.
You will find this behavior is slightly different from that of $SIG{__DIE__} handlers (which don't suppress the error text, but can instead call "die" again to change it).
Using a "__WARN__" handler provides a powerful way to silence all warnings (even the so-called mandatory ones). An example:
# wipe out *all* compile-time warnings BEGIN { $SIG{'__WARN__'} = sub { warn $_[0] if $DOWARN } } my $foo = 10; my $foo = 20; # no warning about duplicate my $foo, # but hey, you asked for it! # no compile-time or run-time warnings before here $DOWARN = 1; # run-time warnings enabled after here warn "\$foo is alive and $foo!"; # does show up
See perlvar for details on setting %SIG entries, and for more examples. See the Carp module for other kinds of warnings using its carp() and cluck() functions.
- write FILEHANDLE
- write EXPR
- write
-
Writes a formatted record (possibly multi-line) to the specified FILEHANDLE,
using the format associated with that file. By default the format for
a file is the one having the same name as the filehandle, but the
format for the current output channel (see the "select" function) may be set
explicitly by assigning the name of the format to the $~ variable.
Top of form processing is handled automatically: if there is insufficient room on the current page for the formatted record, the page is advanced by writing a form feed, a special top-of-page format is used to format the new page header, and then the record is written. By default the top-of-page format is the name of the filehandle with ``_TOP'' appended, but it may be dynamically set to the format of your choice by assigning the name to the $^ variable while the filehandle is selected. The number of lines remaining on the current page is in variable "$-", which can be set to 0 to force a new page.
If FILEHANDLE is unspecified, output goes to the current default output channel, which starts out as STDOUT but may be changed by the "select" operator. If the FILEHANDLE is an EXPR, then the expression is evaluated and the resulting string is used to look up the name of the FILEHANDLE at run time. For more on formats, see perlform.
Note that write is not the opposite of "read". Unfortunately.
- y///
-
The transliteration operator. Same as "tr///". See
``Quote and Quote-like Operators'' in perlop.
Index
This document was created by man2html, using the manual pages.
Time: 05:29:08 GMT, December 24, 2015


read.extend(["-"] * length)
if consumes_ref:
ref.extend([chr(x) for x in self.reference_sequence[pos_ref:(pos_ref + length)]])
pos_ref += length
else:
ref.extend(["-"] * length)
def __repr__(self):
Fancy output for viewing a read"s alignment in relation to the reference
read, ref = self.alignment_as_string_pair()
lines = [
"<%s.%s object at %s>" % (self.__class__.__module__, self.__class__.__name__, hex(id(self))),


Ruin's special weapon is the Gravity Spikes. They are two small spikes that detonate upon impact on an enemy or contact with an enemy. His special ability is overdrive which boosts his leg speed. This is called overdrive.
Outrider
Outrider's special weapon is the Sparrow. Its a compound bow that fires bolts with increasing range the longer it is drawn. The bolt is explosive on contact. Her special ability is Vision Pulse. Its a sonic pulse that pings the surrounding area and reveals enemy within range.
Prophet
Prophet's special weapon is the Tempest. It fires electricity blasts at his enemies. His special ability is Glitch which allows him to flash back to a previous position however keeping previous efects.
Battery
Battery's special weapon is the 'War Machine. This is a grenade launcher that fires bouncing grenades which detonate after a short time. Her special ability is called Kinetic Armor. This is reactive armor that deflects enemy bullets away from the body for five seconds.
Sereph
Sereph's special weapon is the Annihilator. This is a one-shot kill pistol with great penetration power. Her special ability is called Combat Focus. While active, all score earned will trigger a bonus multiplier towards Scorestreaks.
Nomad
Nomad's special weapon is the H.I.V.E. This fires out pod traps that release nano drones upon enemies. The pods can be stuck on various surfaces in-game. His special ability is Rejack. This allows you to recover from the position of your death.
Reaper
Reaper's special weapon is the Scythe. This turns his arm into a quad barrel mini-gun. His special ability is called Psychosis. This allows him to create three decoys of himself that run forward.
Spectre
Spectre's special weapon is the Ripper. These are twin blades that give extended melee lunge. The rippers replace the standard melee attack, and can be used while holding your weapon. His special ability is Active Camo. As you would expect, this allows Spectre to become nearly invisible on the battlefield for a short time.
Firebreak
Firebreak's special weapon is the Purifier. This is a flamethrower that can scorch enemies within close range. His special ability is called Heat Wave. Firebreak will emit a massive heat blast that stuns enemies and destroys hostile equipment within range.


PROFILE OF THE GA EAST MUNICIPALITY
INTRODUCTION
Ga East Municipal Assembly was curved out of the then Ga East District which was established in 2004 by an Act of Parliament (Legislative Instrument 1589) as a district. It was elevated to a municipality in 2008 by LI 1864. It has deliberative, legislative and executive powers. In June 2012 the Municipality was split into two; Ga East and La-Nkwantanang Madina Municipalities. The Assembly operates within the following vision and mission statement
To become a highly professional, dynamic and client- Oriented Assembly, focusing on sustainable development.<
.2 Mission
To facilitate improvement in the quality of life of the people in the Municipality through the provision and promotion of basic social-economic services within the context of the governance.
1.3 Population
According to the 2010 Population and Housing Census (2010 PHC), the population of the Ga East Municipality is 147,742 (One Hundred and Forty-Seven Thousand Seven Hundred and Forty-Two), representing 3.68 percent of the population of the Greater Accra Region
2.0 PHYSICAL AND NATURAL ENVIRONMENT
2.1 LOCATION AND SIZE
The Ga East Municipal Assembly is located at the northern part of Greater Accra Region. It is one of the Sixteen (16) Districts in the Greater Accra Region and covers a Land Area of about 96 sq km. The capital of the Municipal Assembly is Abokobi. The Assembly is boarded on the west by the Ga West Municipal Assembly (GWMA), on the east by the La-Kkwantanang Municipal Assembly (LaNMA), the south by Accra Metropolitan Assembly (AMA) and the north by the Akwapim South District Assembly. The Municipality is sub divided into two administrative as Zonal Councils. Namely the Abokobi Zonal Council and the Dome Zonal Council
2.2 MAJOR TOWNS
>Key towns of the Ga East Municipality include Abokobi(capital), Kwabenya, Dome, Haatso, Papao, Westland,Taifa, Ashongman, Ashongman Estate, Atomic Hills, Estate, Ablorh Adjei, Agbogba, Akporman, Boi, Sesemi and Adenkrebi
3.0 CLIMATE AND VEGETATION
The Municipality falls in the savannah agro-ecological zone. Rainfall pattern is bi-modal with the average annual temperature ranging between 25.1oc in August and 28.4oc in February and March. February and March are normally the hottest months. The District has two
main vegetation namely shrub lands and grassland. The shrub lands occur mostly in the western outskirts and in the north towards the Aburi hills and consist of dense cluster of small trees and shrubs that grow to an average height of about five meters. The grassland which
occurred to the southern parts of the municipality has now been encroached upon by human activities including settlements. Figure 3.1 shows the reduction in the quantity of rainfall in 2013 in comparison to 2012.
Ga East Municipal Directorate
Report On Work Inspection for Promotion and Confirmation of Teachers from 17th-20th July 2017
To Senior Superintendent 1, (22) twenty two teachers applied and (21) twenty-one applied for confirmation.
All the (42) forty-two applicants qualified in respect of the requirements (professional qualifications,
Length of service on present grade among others. Most applicants in respect of confirmation had applied years ago, there had been inspected but were not issued with letters, hence that large number.
OBSERVATIONS
-
Two teachers performed exceptionally well.
-
Majority of teachers performed above average
-
A teachers stated objectives were at variance with the Core Points and RPK
-
Most teachers stated only one textbook as their source of reference
AREAS FOR IMPROVEMENT
-
Teachers are to read through their lesson plans to correct petty spelling mistakes
-
TLMs used must be relevant and in the right quantities.
-
They should state and use at least two textbooks as their reference


Book a flight
Trip details
Trip type
Roundtrip
Number of travelers
1 adult
Locations and dates
From
Seattle, WA (SEA)
To
San Francisco (SFO)
Departure date
Mar 12, 2019
Return date
Mar 15, 2019
Flight Options
| Depart | Arrive | Stops | Duration | Basic Economy |
Economy | First Class |
|---|---|---|---|---|---|---|
| 7:30 am | 9:49 am | Nonstop | 2h 19m | Roundtrip $211 |
Roundtrip $271 |
Roundtrip $537 |
| 9:57 am | 12:15 pm | Nonstop | 2h 18m | Roundtrip $211 |
Roundtrip $271 |
Roundtrip $537 |
| 12:27 pm | 2:50 pm | Nonstop | 2h 23m | Not available | Roundtrip $381 |
Roundtrip $677 |


Songs of the Wind on a Southern Shore, and other Poems of Florida
by George E. Merrick
“A Grave in the Everglades”
Additional Information
- Year Published: 1920
- Language: English
- Country of Origin: United States of America
- Source: Merrick, G. E. (1920). Songs of the wind on a southern shore, and other poems of florida. The Four Seas Publishing Co.
-
Readability:
- Flesch–Kincaid Level: 7.2
- Word Count: 440
- Genre: Poetry
- Keywords: florida stories, poetry
- ✎ Cite This
Downloads
By the rise of a palm-grown highland
Far out in the Everglade,
In a mound on a jungle island,
Is a Seminole Warrior laid.
There in the midst of the prairie,
Desolate, forgotten, lone;
‘Neath a mound in a land most dreary
The land he had thought his own.
The live-oaks are growing around it;
And their roots are deep in the mound;
A palm that years ago found it
Reaches sixty feet up from the ground.
A grave in the midst of the prairie
With Palmetto-scrub overgrown;
On an isle in a land most dreary,
In the land he had thought his own.
Weighed down with a burden of sorrow
The Spanish moss drapes in dank gray,
And the sunbeams, filtering, borrow
The dullness of a storm darkened day.
On the isle where the cocoa-plum tosses
He lies, –forgotten and lone:
His grave overhung by the mosses
Of the live-oaks he had thought his own.
From His bed midst the hycacinth-canna
The ‘gator crawls out for his prey,
O’er the mound, through the bed of lantana
Where the sun-loving mocassins lay;
‘Mongst the kind of his long-ago quarry
But heedless of murmur or moan
He lies in the midst of the prairie
In the land he had thought his own.
Here the egret and flamingo, fleeing
From the invading and death-dealing foe,
Find escape for a dread time-being
O’er the bones of the one laid low;
For him, also, they had pressed and invaded,
And had reaped where he had sown,—
In those days e’er the warriors faded
From the land they had thought their own.
And the wind through the jungle passes
With a burden of infinite woe,—
That is whispered in the tall cane grasses
That along by the channels grow:
Breathings of a time when the prairie
Had been roamed by the Red men alone,
When they had hunted, unsuspecting unwary,
Through the land they had thought their own.
Of that time, of the harsh awaking,
Of their bitter unmerited wrong:
Of the steady insidious taking;
Of the struggle so hopeless and long.
And the wind sighs through the mosses
‘Bove the mound with palms overgrown:
Breathing a sob of people’s losses—
The loss of the land they had thought their own.
In the shade of a palm-grown highland,
In the mystical Everglade;
‘Neath a mound of hammock island,
Is a Seminole warrior laid.
In the midst of the Vista of grasses;
Desolate, forgotten, lone:
And the wind that continually passes,
Sweeps the land he had thought his own


COZA: She Is Frustrated Idiot, Journalist Comes For Busola Dakolo
by Oyindamola OlubajoPopular controversial journalist, Kemi Olunloyo has again blasted celebrity photographer, Busola Dakolo, describing her as ‘a frustrated idiot’
Olunloyo, in an Instagram post explained how much she enjoys sermon by Modele, wife of COZA pastor, Biodun Fatoyinbo.
“Pastor @modelefatoyinbo @biodunfatoyinbo’s wife is KILLING IT @cozaglobal. Jesus! The woman can even preach harder than any female pastor I’ve EVER seen and she’s very attractive too. Damn she can preach? “I declare success in my life in 2020” she wrote.
Responding, a follower attested to Olunloyo’s claim while saying that Busola’s rape allegation against COZA pastor disrupted Modele’s sermon.
“She’s amazing i use to attend some of their programs like 7DG, obviously this year’s program was disrupted because of busola. God will judge her for that….Pastor MO is such an amazing preacher and she’s underrated,” the follower said.

The celebrity photographer had accused Fatoyinbo of raping her on two different occasions in 2002 in her family house when she was a teenager.
Recall that Olunloyo waded into the rape claims by Busola, believing that the photographer laid false accusations on Fatoyinbo.
The celebrity photographer had sued Fatoyinbo, demanding that the COZA Pastor publishes an apology to her on the front page of at least two national newspapers, noting that the apology should also run on two national television stations for seven days running consecutively.


Sitting on the northern coast of the "tail" of Corfu island, this little port is a sleepy place which receives few visitors. The harbour is shallow and fisherman move in and out all night long creating quite a swell. However it's a lovely place for a day visit.
Berth at the west quay or on the end of the mole where there is room.
Anchor in the bay south of the mole in 2 - 3m over sand and mud. Difficult berthing/anchoring for any boat with a draft exceeding 1.80m.
Good shelter, although some swell can creep round into the bay.
Most provisions available in the village. Water on the quay is only for the fishermen.
Last updated September 2015.


19) Learning more about Pandas¶
Related references:
Connecting the last few lectures¶
The last lectures on databases have some commonalities with Pandas DataFrames. When would you prefer to use a database?
Arithmetic and Data Alignment¶
Arithmetic with Databases has some similar behavior to automatic outer join on the index labels. We did some work with this last Pandas lecture; let’s have a little review before moving on.
In [1]:
import pandas as pd
import numpy as np
df1 = pd.DataFrame(np.arange(12.).reshape((3, 4)),
columns=list('abcd'))
df2 = pd.DataFrame(np.arange(20.).reshape((4, 5)),
columns=list('abcde'))
df2.loc[1, 'b'] = np.nan
df1
Out[1]:
| a | b | c | d | |
|---|---|---|---|---|
| 0 | 0.0 | 1.0 | 2.0 | 3.0 |
| 1 | 4.0 | 5.0 | 6.0 | 7.0 |
| 2 | 8.0 | 9.0 | 10.0 | 11.0 |
In [2]:
df2
Out[2]:
| a | b | c | d | e | |
|---|---|---|---|---|---|
| 0 | 0.0 | 1.0 | 2.0 | 3.0 | 4.0 |
| 1 | 5.0 | NaN | 7.0 | 8.0 | 9.0 |
| 2 | 10.0 | 11.0 | 12.0 | 13.0 | 14.0 |
| 3 | 15.0 | 16.0 | 17.0 | 18.0 | 19.0 |
In [3]:
df1 + df2
Out[3]:
| a | b | c | d | e | |
|---|---|---|---|---|---|
| 0 | 0.0 | 2.0 | 4.0 | 6.0 | NaN |
| 1 | 9.0 | NaN | 13.0 | 15.0 | NaN |
| 2 | 18.0 | 20.0 | 22.0 | 24.0 | NaN |
| 3 | NaN | NaN | NaN | NaN | NaN |
If you want to add arguments, you’ll need to use built-in methods, not just the character representation. For example:
In [4]:
df1.add(df2, fill_value=0)
Out[4]:
| a | b | c | d | e | |
|---|---|---|---|---|---|
| 0 | 0.0 | 2.0 | 4.0 | 6.0 | 4.0 |
| 1 | 9.0 | 5.0 | 13.0 | 15.0 | 9.0 |
| 2 | 18.0 | 20.0 | 22.0 | 24.0 | 14.0 |
| 3 | 15.0 | 16.0 | 17.0 | 18.0 | 19.0 |
Pandas DataFrame arithmatic¶
The “r*” version of each method does the same action in reverse order. For example, df1.rdiv(other, axis=‘index’) is equivalent to other.div(df1, axis=‘index’)
| Method | Description |
|---|---|
| add, radd | Methods for addition (+) |
| sub, rsub | Methods for subtraction (-) |
| div, rdiv | Methods for division (/) |
| floordiv, rfloordiv | Methods for floor division (//) |
| mul, rmul | Methods for multiplication (*) |
| pow, rpow | Methods for exponentiation (**) |
Operations between series and dataframes: remember broadcasting!¶
Let’s look at an example:
In [5]:
frame = pd.DataFrame(np.arange(12.).reshape((4, 3)),
columns=list('bde'),
index=['Utah', 'Ohio', 'Texas', 'Oregon'])
frame
Out[5]:
| b | d | e | |
|---|---|---|---|
| Utah | 0.0 | 1.0 | 2.0 |
| Ohio | 3.0 | 4.0 | 5.0 |
| Texas | 6.0 | 7.0 | 8.0 |
| Oregon | 9.0 | 10.0 | 11.0 |
In [6]:
series = frame.iloc[0]
series
Out[6]:
b 0.0
d 1.0
e 2.0
Name: Utah, dtype: float64
What do you expect from the following?
In [7]:
frame - series
Out[7]:
| b | d | e | |
|---|---|---|---|
| Utah | 0.0 | 0.0 | 0.0 |
| Ohio | 3.0 | 3.0 | 3.0 |
| Texas | 6.0 | 6.0 | 6.0 |
| Oregon | 9.0 | 9.0 | 9.0 |
In [8]:
series2 = pd.Series(range(3), index=['b', 'e', 'f'])
series2
Out[8]:
b 0
e 1
f 2
dtype: int64
In [9]:
frame + series2
Out[9]:
| b | d | e | f | |
|---|---|---|---|---|
| Utah | 0.0 | NaN | 3.0 | NaN |
| Ohio | 3.0 | NaN | 6.0 | NaN |
| Texas | 6.0 | NaN | 9.0 | NaN |
| Oregon | 9.0 | NaN | 12.0 | NaN |
By default, broadcasting is done over indices, matching on columns. If you want the opposite, specify so with an arithmetic method.
In [10]:
series3 = frame['d']
frame
Out[10]:
| b | d | e | |
|---|---|---|---|
| Utah | 0.0 | 1.0 | 2.0 |
| Ohio | 3.0 | 4.0 | 5.0 |
| Texas | 6.0 | 7.0 | 8.0 |
| Oregon | 9.0 | 10.0 | 11.0 |
In [11]:
series3
Out[11]:
Utah 1.0
Ohio 4.0
Texas 7.0
Oregon 10.0
Name: d, dtype: float64
In [12]:
frame - series3
Out[12]:
| Ohio | Oregon | Texas | Utah | b | d | e | |
|---|---|---|---|---|---|---|---|
| Utah | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| Ohio | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| Texas | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| Oregon | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
In [13]:
frame.sub(series3, axis='index')
Out[13]:
| b | d | e | |
|---|---|---|---|
| Utah | -1.0 | 0.0 | 1.0 |
| Ohio | -1.0 | 0.0 | 1.0 |
| Texas | -1.0 | 0.0 | 1.0 |
| Oregon | -1.0 | 0.0 | 1.0 |
There are many other functions that you might want to perform on dataframes, and quick Internet searches will give you the correct syntax. For example:
In [14]:
frame.min()
Out[14]:
b 0.0
d 1.0
e 2.0
dtype: float64
In [15]:
frame.min(axis=1)
Out[15]:
Utah 0.0
Ohio 3.0
Texas 6.0
Oregon 9.0
dtype: float64
In [16]:
frame
Out[16]:
| b | d | e | |
|---|---|---|---|
| Utah | 0.0 | 1.0 | 2.0 |
| Ohio | 3.0 | 4.0 | 5.0 |
| Texas | 6.0 | 7.0 | 8.0 |
| Oregon | 9.0 | 10.0 | 11.0 |
In [17]:
frame.sort_index()
Out[17]:
| b | d | e | |
|---|---|---|---|
| Ohio | 3.0 | 4.0 | 5.0 |
| Oregon | 9.0 | 10.0 | 11.0 |
| Texas | 6.0 | 7.0 | 8.0 |
| Utah | 0.0 | 1.0 | 2.0 |
In [18]:
frame.sort_index(axis=1, ascending=False)
Out[18]:
| e | d | b | |
|---|---|---|---|
| Utah | 2.0 | 1.0 | 0.0 |
| Ohio | 5.0 | 4.0 | 3.0 |
| Texas | 8.0 | 7.0 | 6.0 |
| Oregon | 11.0 | 10.0 | 9.0 |
In [19]:
obj = pd.Series([4, np.nan, 7, np.nan, -3, 2])
obj.sort_values()
Out[19]:
4 -3.0
5 2.0
0 4.0
2 7.0
1 NaN
3 NaN
dtype: float64
Function Application and Mapping¶
NumPy ufuncs (element-wise array methods) also work with pandas objects:
In [20]:
frame = pd.DataFrame(np.random.randn(4, 3), columns=list('bde'),
index=['Utah', 'Ohio', 'Texas', 'Oregon'])
frame
Out[20]:
| b | d | e | |
|---|---|---|---|
| Utah | 0.410194 | 1.259284 | 0.428494 |
| Ohio | 0.320257 | -0.931598 | 1.145809 |
| Texas | 0.155460 | 0.085593 | 0.033784 |
| Oregon | -0.301118 | -0.250526 | -1.332475 |
In [21]:
def f(x):
return x.max() - x.min()
frame.apply(f)
Out[21]:
b 0.711311
d 2.190882
e 2.478284
dtype: float64
Here the function f, which computes the difference between the maximum and minimum of a Series, is invoked once on each column in ‘frame’. The result is a Series having the columns of ‘frame’ as its index.
If you pass axis='columns'
to apply, the function will be invoked
once per row instead:
In [22]:
frame.apply(f, axis='columns')
Out[22]:
Utah 0.849090
Ohio 2.077407
Texas 0.121676
Oregon 1.081949
dtype: float64
The function passed to apply need not return a scalar value; it can also return a Series with multiple values:
In [23]:
def f(x):
return pd.Series([x.min(), x.max()], index=['min', 'max'])
frame.apply(f)
Out[23]:
| b | d | e | |
|---|---|---|---|
| min | -0.301118 | -0.931598 | -1.332475 |
| max | 0.410194 | 1.259284 | 1.145809 |
Note: Many of the most common array statistics (like sum and mean) are DataFrame methods, so using apply is not necessary.
A personal favorite DataFrame method:¶
In [24]:
frame2 = frame.describe()
frame2
Out[24]:
| b | d | e | |
|---|---|---|---|
| count | 4.000000 | 4.000000 | 4.000000 |
| mean | 0.146198 | 0.040688 | 0.068903 |
| std | 0.316316 | 0.915994 | 1.041493 |
| min | -0.301118 | -0.931598 | -1.332475 |
| 25% | 0.041316 | -0.420794 | -0.307781 |
| 50% | 0.237859 | -0.082467 | 0.231139 |
| 75% | 0.342741 | 0.379015 | 0.607823 |
| max | 0.410194 | 1.259284 | 1.145809 |
In [25]:
obj = pd.Series(['a', 'a', 'b', 'c'] * 4)
obj
Out[25]:
0 a
1 a
2 b
3 c
4 a
5 a
6 b
7 c
8 a
9 a
10 b
11 c
12 a
13 a
14 b
15 c
dtype: object
In [26]:
obj.describe()
Out[26]:
count 16
unique 3
top a
freq 8
dtype: object
A list of helpful built-in descriptive and summary statistic methods¶
| Method | Description |
|---|---|
| count | Number of non-NA values |
| describe | Compute set of summary statistics for Series or each DataFrame column |
| min, max | Compute minimum and maximum values |
| argmin, argmax | Compute index locations (integers) at which minimum or maximum value obtained, respectively |
| idxmin, idxmax | Compute index labels at which minimum or maximum value obtained, respectively |
| quantile | Compute sample quantile ranging from 0 to 1 |
| sum | Sum of values |
| mean | Mean of values |
| median | Arithmetic median (50% quantile) of values |
| mad | Mean absolute deviation from mean value |
| prod | Product of all values |
| var | Sample variance of values |
| std | Sample standard deviation of values |
| skew | Sample skewness (third moment) of values |
| kurt | Sample kurtosis (fourth moment) of values |
| cumsum | Cumulative sum of values |
| cummin, cummax | Cumulative minimum or maximum of values, respectively |
| cumprod | Cumulative product of values |
| diff | Compute first arithmetic difference (useful for time series) |
| pct_change | Compute percent changes |
These functions have built-in methods for handling missing data, so a different version of them is not needed when there are null (e.g. NaN) entries.
In [27]:
df = pd.DataFrame([[1.4, np.nan], [7.1, -4.5],
[np.nan, np.nan], [0.75, -1.3]],
index=['a', 'b', 'c', 'd'],
columns=['one', 'two'])
df
Out[27]:
| one | two | |
|---|---|---|
| a | 1.40 | NaN |
| b | 7.10 | -4.5 |
| c | NaN | NaN |
| d | 0.75 | -1.3 |
Calling DataFrame’s sum method returns a Series containing column sums:
In [28]:
df.sum()
Out[28]:
one 9.25
two -5.80
dtype: float64
In [29]:
df.sum(axis='columns')
Out[29]:
a 1.40
b 2.60
c NaN
d -0.55
dtype: float64
Note that NA values are excluded unless the entire slice (row or column in this case) is NA. This can be disabled with the skipna option:
In [30]:
df.mean(axis='columns', skipna=False)
Out[30]:
a NaN
b 1.300
c NaN
d -0.275
dtype: float64
Unique Values, Value Counts, and Membership¶
Another class of related methods extracts information about the values contained in a one-dimensional Series. To illustrate these, consider this example:
In [31]:
obj = pd.Series(['c', 'a', 'd', 'a', 'a', 'b', 'b', 'c', 'c'])
uniques = obj.unique()
uniques.sort()
uniques
Out[31]:
array(['a', 'b', 'c', 'd'], dtype=object)
The unique values are not necessarily returned in sorted order, but could be sorted after the fact if needed (uniques.sort()). Relatedly, value_counts computes a Series containing value frequencies:
In [32]:
obj.value_counts()
Out[32]:
a 3
c 3
b 2
d 1
dtype: int64
The Series is sorted by value in descending order as a convenience. value_counts is also available as a top-level pandas method that can be used with any array or sequence:
In [33]:
my_list = ['c', 'a', 'd', 'a', 'a', 'b', 'b', 'c', 'c']
pd.value_counts(my_list, sort=False)
Out[33]:
c 3
d 1
a 3
b 2
dtype: int64
In [34]:
pd.value_counts(obj.values, sort=True)
Out[34]:
a 3
c 3
b 2
d 1
dtype: int64
Data Loading, Storage, and File Formats¶
pandas features a number of functions for reading tabular data as a
DataFrame object, summarized in the table below. read_csv
and
read_table
are likely the ones you’ll use the most.
| Function | Description |
|---|---|
| read_csv | Load delimited data from a file, URL, or file-like object; use comma as default delimiter |
| read_table | Load delimited data from a file, URL, or file-like object; use tab (‘:raw-latex:`\t`’) as default delimiter |
| read_fwf | Read data in fixed-width column format (i.e., no delimiters) |
| read_clipboard | Version of read_table that reads data from the clipboard; useful for converting tables from web pages |
| read_excel | Read tabular data from an Excel XLS or XLSX file |
| read_hdf | Read HDF5 files written by pandas |
| read_html | Read all tables found in the given HTML document |
| read_json | Read data from a JSON (JavaScript Object Notation) string representation |
| read_msgpack | Read pandas data encoded using the MessagePack binary format |
| read_pickle | Read an arbitrary object stored in Python pickle format |
| read_sas | Read a SAS dataset stored in one of the SAS system’s custom storage formats |
| read_sql | Read the results of a SQL query (using SQLAlchemy) as a pandas DataFrame |
| read_stata | Read a dataset from Stata file format |
| read_feather | Read the Feather binary |
To start practicing with this, make a file called ex1.csv in a folder “examples” with these lines:
a,b,c,d,message 1,2,3,4,hello 5,6,7,8,world 9,10,11,12,foo
In [35]:
df = pd.read_csv('examples/ex1.csv')
df
Out[35]:
| a | b | c | d | message | |
|---|---|---|---|---|---|
| 0 | 1 | 2 | 3 | 4 | hello |
| 1 | 5 | 6 | 7 | 8 | world |
| 2 | 9 | 10 | 11 | 12 | foo |
We could also have used read_table and specified the delimiter:
In [36]:
pd.read_table('examples/ex1.csv', sep=',')
Out[36]:
| a | b | c | d | message | |
|---|---|---|---|---|---|
| 0 | 1 | 2 | 3 | 4 | hello |
| 1 | 5 | 6 | 7 | 8 | world |
| 2 | 9 | 10 | 11 | 12 | foo |
A file will not always have a header row. Consider this file, ‘examples/ex2.csv’:
1,2,3,4,hello 5,6,7,8,world 9,10,11,12,fooTo read this file, you have a couple of options. You can allow pandas to assign default column names, or you can specify names yourself:
In [37]:
pd.read_csv('examples/ex2.csv', header=None)
Out[37]:
| 0 | 1 | 2 | 3 | 4 | |
|---|---|---|---|---|---|
| 0 | 1 | 2 | 3 | 4 | hello |
| 1 | 5 | 6 | 7 | 8 | world |
| 2 | 9 | 10 | 11 | 12 | foo |
In [38]:
pd.read_csv('examples/ex2.csv', names=['a', 'b', 'c', 'd', 'message'])
Out[38]:
| a | b | c | d | message | |
|---|---|---|---|---|---|
| 0 | 1 | 2 | 3 | 4 | hello |
| 1 | 5 | 6 | 7 | 8 | world |
| 2 | 9 | 10 | 11 | 12 | foo |
Suppose you wanted the message column to be the index of the returned DataFrame. You can either indicate you want the column at index 4 or named ‘message’ using the index_col argument:
In [39]:
names = ['a', 'b', 'c', 'd', 'message']
pd.read_csv('examples/ex2.csv', names=names, index_col='message')
Out[39]:
| a | b | c | d | |
|---|---|---|---|---|
| message | ||||
| hello | 1 | 2 | 3 | 4 |
| world | 5 | 6 | 7 | 8 |
| foo | 9 | 10 | 11 | 12 |
What about a file with variable whitespace separating the columns, like examples/ex3.txt
A B C aaa -0.264438 -1.026059 -0.619500 bbb 0.927272 0.302904 -0.032399 ccc -0.264273 -0.386314 -0.217601 ddd -0.871858 -0.348382 1.100491You can pass a regular expression as a delimiter for read_table. This can be expressed by the regular expression :raw-latex:`s`+, so we have then:
In [40]:
result = pd.read_table('examples/ex3.txt', sep='\s+')
result
Out[40]:
| A | B | C | |
|---|---|---|---|
| aaa | -0.264438 | -1.026059 | -0.619500 |
| bbb | 0.927272 | 0.302904 | -0.032399 |
| ccc | -0.264273 | -0.386314 | -0.217601 |
| ddd | -0.871858 | -0.348382 | 1.100491 |
Because there was one fewer column name than the number of data rows, read_table infers that the first column should be the DataFrame’s index in this special case.
What if you have comment lines, like in examples/ex4.csv?
# hey! a,b,c,d,message # just wanted to make things more difficult for you # who reads CSV files with computers, anyway? 1,2,3,4,hello 5,6,7,8,world 9,10,11,12,foo
In [41]:
pd.read_csv('examples/ex4.csv', skiprows=[0, 2, 3])
Out[41]:
| a | b | c | d | message | |
|---|---|---|---|---|---|
| 0 | 1 | 2 | 3 | 4 | hello |
| 1 | 5 | 6 | 7 | 8 | world |
| 2 | 9 | 10 | 11 | 12 | foo |
In [42]:
pd.read_csv('examples/ex4.csv', comment='#')
Out[42]:
| a | b | c | d | message | |
|---|---|---|---|---|---|
| 0 | 1 | 2 | 3 | 4 | hello |
| 1 | 5 | 6 | 7 | 8 | world |
| 2 | 9 | 10 | 11 | 12 | foo |
Let’s handle some missing data, like in examples/ex5.csv
something,a,b,c,d,message one,1,2,3,4,NA two,5,6,,8,world three,null,10,11,12,foo
In [43]:
result = pd.read_csv('examples/ex5.csv', na_values=['NULL'])
result
Out[43]:
| something | a | b | c | d | message | |
|---|---|---|---|---|---|---|
| 0 | one | 1.0 | 2 | 3.0 | 4 | NaN |
| 1 | two | 5.0 | 6 | NaN | 8 | world |
| 2 | three | NaN | 10 | 11.0 | 12 | foo |
Writing Data to Text Format¶
Data can also be exported to a delimited format. Let’s use what we just read in.
In [44]:
result.to_csv('examples/out.csv')
Missing values appear as empty strings in the output. You might want to denote them by some other sentinel value:
In [45]:
result.to_csv('examples/out2.csv', na_rep='NULL')
With no other options specified, both the row and column labels are written. Both of these can be disabled:
In [46]:
result.to_csv('examples/out3.csv', index=False, header=False)
You can also write only a subset of the columns, and in an order of your choosing:
In [47]:
result.to_csv('examples/out4.csv', index=False, columns=['a', 'b', 'c'])
Up next: Visualization!!


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Internet Vigilantism
There's a new term on the rise that describes the sort of vigilantism in the online world:
digilantism - the act of crowdsourcing efforts via the internet towards the goal of rectifying an injustice deemed morally wrong by an online vigilante group.
Brought to the forefront of national attention by the Bostom Marathon Bombings, the topic has resurfaced again due to China's flesh-searching engine.
In CS181W, this was the topic of our final project + presentation, a case study that combines perspectives from ethics and policy to better understand the ambigious space of internet vigilantism.
Check out our final project website + presentation here.


Death investigation under way near heavy machinery in Fort Myers
by WFTX Digital TeamFORT MYERS, Fla. -- Lee County Sheriff's deputies responded to the scene of a death investigation off Alico Road Wednesday.
The scene is on Indy Drive. That's north of Alico Road and east of Michael G. Rippe Parkway.
The investigation is taking place near large heavy machinery on what appears to be a construction site.
No further information is available at this time. We'll update as soon as we learn more.


Scroll Seller Elena:
What brings you here?
The old document that Mordred asked me to keep? I had some problems deciphering some of the strange letters. I need a dictionary.
"A dictionary?"


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Our clients are our priority, we offer quality dental services with a team of specialists. More details about our services below
Our clients are our priority, we offer quality dental services with a team of specialists. More details about our services below.
Our clients are our priority, we offer quality dental services with a team of specialists. More details about our services below.


This is San Francisco’s main Food Stamps office. People call it twelve-thirty-five, as in 1235 Mission Street. The first time I went was on Thursday, February 7, 2013
Join the movement
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Quick Stats
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It's time! It's time! Finishing up a few loose ends at home, and then I'm back to the hospital.
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Fire crews free horse stuck in trailer
by Matthew EarthFire crews were called to help free a horse which had become stuck in a horse box after attempting to jump over a restraining bar within the trailer.
Four crews, from Stowmarket, Elsmwell and two from Bury St Edmunds, were called to the scene at Ashfield Road in Wetherden just before 11am after the horse's owner was unable to free it from the trailer.
The condition of the horse is not currently known.
A spokesman for Suffolk Fire and Rescue Service confirmed that the Animal Rescue Crew had been called to the scene.


DEP is 'similar' to Linux NX.
DEP is a set of hardware, and software, technologies that perform additional checks on memory, to help prevent malicious code from running on a system. The primary benefit of DEP is to help prevent code execution from data pages, by raising an exception, when execution occurs.
If the application is compiled with DEP support, when looking at modules loaded in memory, you need to identify which modules are loaded with which permissions. This will determine where you can read, where you can write, and where you can execute.


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libstddjb
libskarnet
skalibs
Software
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A cdb, for constant database, is an immutable key-value store. In skalibs, a cdb is built once via the cdbmake primitives and stored on disk; the cdb primitives, documented here, are about accessing the information.
int cdb_init (cdb *c, char const *file)
Maps the file named file to the cdb pointed to by c.
*c must be CDB_ZERO before the call. The function returns a
positive integer if it succeeds, and 0 (and sets errno) if it fails.
int cdb_init_at (cdb *c, int dfd, char const *file)
Like cdb_init, but file is interpreted relative to the
file descriptor dfd, which must be open on a directory.
int cdb_init_fromfd (cdb *c, int fd)
Like cdb_init, but the database file is already open and
readable via then file descriptor fd.
void cdb_free (cdb *c)
Frees the resources used by a cdb mapping. After the call, c
is immediately reusable by another cdb_init function.
int cdb_find (cdb const *c, cdb_data *data, char const *key, uint32_t klen)
Looks up key key of length klen in the cdb *c. The function returns
-1 if *c isn't a valid cdb; 0 if no record can be found for the key; and 1 on success, in
which case the corresponding value is returned in *data: data→s
points to the start of the value, and data→len contains the length of
the value. Only the first record with the same key can be obtained this way.
void cdb_findstart (cdb_find_state *state)
Initializes state so that the next invocation of cdb_findnext()
finds the first record for a given key.
int cdb_findnext (cdb const *c, cdb_data *data, char const *key, uint32_t klen, cdb_find_state *state)
Like cdb_find, except that the extra argument state memorizes
internal cdb lookup data, so the next cdb_findnext() invocation with the
same key, klen and state will yield the next record
for the key. cdb_findnext returns 0 when all the records for the key have
been exhausted.
void cdb_traverse_init (uint32_t *pos)
Initializes *pos so that the next invocation of cdb_traverse_next
finds the first entry in the cdb. *pos can also be initialized to the
macro CDB_TRAVERSE_INIT() instead.
int cdb_traverse_next (cdb const *c, cdb_data *key, cdb_data *data, uint32_t *pos)
Gets the next entry in the cdb *c. On success, the key is stored in *key and the
data is stored in *data. *pos* is an opaque integer storing internal
state; it is automatically updated so that the next invocation of cdb_traverse_next()
yields the next entry. The function returns -1 if *c is not a valid cdb or *pos
is not valid state, 1 on success, and 0 if no entry can be found, i.e. the end of the cdb has
been reached.


For ordering this product, save the Product ID for ordering it in the (Order Now) page.
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Maintain Aspect Ratio List
Create flexible elements that keep their aspect ratio (1:1, 4:3, 16:9, etc.) when resized. You can refer to the Uix Grid to customize the number of columns.
@@include('./src/components/_global/include-header.html')
@@include('./src/components/_global/include-loader.html') @@include('./src/components/_global/include-toggle-trigger.html')Create flexible elements that keep their aspect ratio (1:1, 4:3, 16:9, etc.) when resized. You can refer to the Uix Grid to customize the number of columns.


>
MSc Computer Science 22'
I am a graduate student at the University of Toronto, where I am pursuing a Masters in Computer Science. I am part of the Intelligent Adaptive Interventions Lab (IAI) advised by Professor Joseph Jay Williams where we combine human-computer interaction (HCI) and psychology by conducting randomized A/B comparisons in real-world settings.
My focus is in HCI and computer science education, and my current project focuses on interventions to help students with planning ahead and time management, in order to motivate them to stay on track when learning online and mitigate procrastination. If you are interested to learn more about my work experience, volunteering opportunites and more, check out my résumé.
This semester, I am one of the course instructors for CSC108: Introduction to Computing Programming. When I am not writing papers, conducting studies, teaching or studying, you can probably find me playing tennis, on twitter or doing reddit gifts exchanges.
Zavaleta Bernuy, A., Zheng, Q., Shaikh, H., Nogas, J., Rafferty, A., Petersen, A. & Williams, J.J. (2021, June). Using Adaptive Experiments to Rapidly Help Students. In International Conference on Artificial Intelligence in Education (pp. 422-426). [Paper]
Zavaleta Bernuy, A., Zheng, Q., Shaikh, H., Petersen, A. & Williams, J.J. (2021, March). Investigating the Impact of Online Homework Reminders Using Randomized A/B Comparisons. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (pp. 1346-1346). [Paper]
Zavaleta Bernuy, A. & Harrington, B. (2020, July). Developing Testing-First Labs For a Less Intimidating Introductory CS Experience. In Psychology of Programming Interest Group (pp. 66-74). [Paper]
Zavaleta Bernuy, A. & Harrington, B. (2020, June). What are We Asking our Students? A Literature Map of Student Surveys in Computer Science Education. In Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education (pp. 418-424). [Paper] [Video]
Zavaleta Bernuy, A., Shaikh, H., Zheng, Q. & Williams, J.J. (2020, July). Messaging interventions to mitigate procrastination in online courses. In Computing Research Association Virtual Conference. [Video]
Zavaleta Bernuy, A. (2019, July). What are We Asking our Students?. In Proceedings of the eleventh annual International Conference on International Computing Education Research. [Slides]
D'souza, R., Zavaleta Bernuy, A. & Harrington, B. (2021, March). PyBuggy: Testing the Effects of Enhanced Error Messages on Novice Programmers. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (pp. 1346-1346). [Abstract] [Poster]
Zavaleta Bernuy, A. (2020, February). What are We Asking our Students?. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (pp. 1424-1424). [Abstract] [Poster]
Here are some helpful notes from the courses I am or have been a TA. Enjoy!


class Solargraph::Range
A pair of positions that compose a section of text.
Attributes
@return [Position]
@return [Position]
Public Class Methods
Get a range from a Parser
range, usually found in Parser::AST::Node#location#expression.
@param expr [Parser::Source::Range] @return [Range]
# File lib/solargraph/range.rb, line 82 def self.from_expr expr from_to(expr.line, expr.column, expr.last_line, expr.last_column) end
Get a range from a node.
@param node [RubyVM::AbstractSyntaxTree::Node, Parser::AST::Node] @return [Range]
# File lib/solargraph/range.rb, line 67 def self.from_node node if defined?(RubyVM::AbstractSyntaxTree::Node) if node.is_a?(RubyVM::AbstractSyntaxTree::Node) Solargraph::Range.from_to(node.first_lineno - 1, node.first_column, node.last_lineno - 1, node.last_column) end elsif node.loc && node.loc.expression from_expr(node.loc.expression) end end
Create a range from a pair of lines and characters.
@param l1 [Integer] Starting line @param c1 [Integer] Starting character @param l2 [Integer] Ending line @param c2 [Integer] Ending character @return [Range]
# File lib/solargraph/range.rb, line 59 def self.from_to l1, c1, l2, c2 Range.new(Position.new(l1, c1), Position.new(l2, c2)) end
@param start [Position] @param ending [Position]
# File lib/solargraph/range.rb, line 15 def initialize start, ending @start = start @ending = ending end
Public Instance Methods
# File lib/solargraph/range.rb, line 86 def == other return false unless other.is_a?(Range) start == other.start && ending == other.ending end
True if the specified position is inside the range.
@param position [Position, Array(Integer, Integer)] @return [Boolean]
# File lib/solargraph/range.rb, line 35 def contain? position position = Position.normalize(position) return false if position.line < start.line || position.line > ending.line return false if position.line == start.line && position.character < start.character return false if position.line == ending.line && position.character > ending.character true end
True if the range contains the specified position and the position does not precede it.
@param position [Position, Array(Integer, Integer)] @return [Boolean]
# File lib/solargraph/range.rb, line 47 def include? position position = Position.normalize(position) contain?(position) && !(position.line == start.line && position.character == start.character) end
# File lib/solargraph/range.rb, line 91 def inspect "#<#{self.class} #{start.inspect} to #{ending.inspect}>" end
Get a hash of the range. This representation is suitable for use in the language server protocol.
@return [Hash<Symbol, Position>]
# File lib/solargraph/range.rb, line 24 def to_hash { start: start.to_hash, end: ending.to_hash } end


There’s nothing cookie-cutter about Dainty's Pizzeria . Not our pizzas. Not our people. And
definitely not the way we live life.
Around here, we don’t settle for anything less than food we’re proud to serve.
We don’t just make pizza. We make people’s days. Dainty's Pizzeria was built on the belief
that pizza night should be special,
and we carry that belief into everything we do. We deliver more pizza, pasta and wings than any other
restaurant in the world.


References
Baker, M. 2016. “1500 Scientists Lift the Lid on Reproducibility.” Nature 533. https://doi.org/10.1038/533452a.
Meyer, John P, Natalie J Allen, and Catherine A Smith. 1993. “Commitment to Organizations and Occupations: Extension and Test of a Three-Component Conceptualization.” Journal of Applied Psychology 78 (4): 538.
Miyakawa, T. 2020. “No Raw Data, No Science: Another Possible Source of the Reproducibility Crisis.” Mol Brain 13 (24). https://doi.org/10.1186/s13041-020-0552-2.
Nosek. 2015. “Estimating the Reproducibility of Psychological Science.” Science 349 (6251). http://doi.org/10.1126/science.aac4716.
Patil P., & Leek J. T, Peng R. D. 2019. “A Visual Tool for Defining Reproducibility and Replicability.” Nat Hum Behav 3: 650–52. https://doi.org/10.1038/s41562-019-0629-z.
Simmons, Joseph P, Leif D Nelson, and Uri Simonsohn. 2011. “False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant.” Psychological Science 22 (11): 1359–66.
Wickham, Hadley. 2014. “Tidy Data.” The Journal of Statistical Software 59 (10). http://www.jstatsoft.org/v59/i10/.
Xie, Yihui. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. http://yihui.name/knitr/.
———. 2020. Bookdown: Authoring Books and Technical Documents with R Markdown. https://github.com/rstudio/bookdown.


composer require Awesome/Web-App: 1.0.0
Created by Matthew Trask / @matthewtrask
Open Source PHP Developer
Passionate about mentorship
Purveyor of coffee, beautiful code written by (angry) Germans, and cat pics
Told you they are angry.
They really arent angry, we all just joke like they are. In fact they are really awesome.
Composer is the PHP package manager allowing developers to lock dependencies together.
I say "the" because PEAR has been deemed dead.It allows developers across the world to pull in the same packages and libraries at the same version.
All with a simple command from the command line.
mtrask@Matts-MacBook-Pro-2 ‹ refactor3 ↑ › composer install
Through Packagist, developers can browse thousands of packages to pull into an app to build it up.
Packages can be anything in Composer.
Libraries are loaded by the package manager
As are frameworks
The .json file is how you tell composer and other developers exactly what you want.
The .lock file hard locks your dependencies once you run composer install.
If you run
mtrask@Matts-MacBook-Pro-2 : ~ [0] % composer install
it will:
If you run
mtrask@Matts-MacBook-Pro-2 : ~ [0] % composer update
it will:
What is it exactly?
Having a composer.lock file also ensures consistency across clusters of servers, if you’re running Composer separately on each machine. It enables you to spin up new instances weeks, or months later, without being concerned about dependency mismatch. - Davey Shafik
To commit or not to commit, that is the question. But why is it a question in the first place?
Composer.json for a personal project vs Composer.json for a library
Personal/Company Project
{
"name": "CatsAreTheMostAdorableThingsEver.com",
"authors": [
{
"name": "Matt Trask",
"email"<EMAIL_ADDRESS>"homepage": "matthewtrask.net"
}
],
"license": "BSD 2-Clause"
"require": {
"slim/slim": "3.0.0-RC2",
"cats/cat-pics": "1.1.1",
"cats/meow-gen": "~1.3.*",
"react/http": "dev-master",
"slim/views": "0.9.*",
"twig/twig": "1.21.3",
"slim/pdo": "1.9.*",
"monolog/monolog": ">=1.0.*", || <- >= 1.0 < 2.0
"ramsey/uuid": "~1.3" || <- >= 1.3 AND < 2.0
},
"require-dev": {
"sebastian/phpunit": "5.0.0",
"mockery/mockery": ">=2.0",
"cats/mock-of-cats": ">=3.0"
}
}
Libraries/Frameworks
{
"name": "phergie/phergie-irc-client-react",
"description": "IRC client library built on React",
"keywords": [ "irc", "client", "react" ],
"license": "BSD-2-Clause",
"support": {
"email"<EMAIL_ADDRESS>"irc": "irc://irc.freenode.net/phergie",
"issues": "https://github.com/phergie/phergie-irc-client-react/issues",
"source": "https://github.com/phergie/phergie-irc-client-react"
},
"require": {
"php": ">=5.4.2",
"phergie/phergie-irc-parser": "~2.0",
"phergie/phergie-irc-generator": "~1.5",
"phergie/phergie-irc-connection": "~2.0",
"react/event-loop": "~0.4.0",
"react/stream": "~0.4.2",
"react/socket-client": "~0.4.2",
"react/dns": "~0.4.0",
"react/promise": "~2.0",
"psr/log": "~1.0",
"monolog/monolog": "~1.6"
},
"require-dev": {
"phergie/phergie-irc-bot-react-development": "~1.0.0"
},
"autoload": {
"psr-4": {
"Phergie\\Irc\\Client\\React\\": "src"
}
},
"autoload-dev": {
"psr-4": {
"Phergie\\Irc\\Tests\\Client\\React\\": "tests"
}
}
}
Ask away!
Github.com/rocketpastsix
twitter.com/matthewtrask
irc: matthewtrask