These Terms and Conditions govern your use of the Software “Peach Wallet” (the “Software” or the “Wallet”) and the associated services. The terms “we”, “us”, and “our” refer to Bitfury Holding B.V.
By using our Software, you accept these Terms and Conditions, and the Privacy Policy in full. If you disagree with any part of these Terms and Conditions and/or the Privacy Policy, do not install and use the Software.
Lightning ID – means a unique identifier of a participant in the Lightning Network. The ID is defined as a public key of the participant’s Lightning node.
The Lightning Network – a second layer payment protocol that operates on top of the Bitcoin blockchain and allows instant transactions between participating nodes.
Wallet – the Bitcoin Lightning wallet created on the basis of the Software and supported by the Software.
Website – https://lightningpeach.com/.
Peach Wallet is a free Lightning Network Wallet. It allows you to store Bitcoin and simplifies the process of making micro payments.
Please be aware that Development of the Peach Wallet is still in progress. It means that different issues can occur during wallet usage. Using the Software may be risky and may lead to loss of funds. Lightning protocol is still in beta stage, so there may be bugs present that may lead to loss of funds or another bad user experience. We may not be liable for such occurrence under section 10 of the Terms and Conditions.
We grant you a non-exclusive and non-transferable license to use the Software.
To use the Software, you must have your own Lightning node deployed to connect the wallet.
For the safety of user’s wallet, we will require you to create a password or PIN. You are responsible for the safety of your password and for any use of your account. The password or PIN will be stored only on the user’s device.
When you start using the wallet, we strongly advise you to take the following measures:
We have no technical means of restricting the access to the Software, getting access to any of user’s data (unless explicitly specified in Privacy Policy) or modify any data inside the app.
People under the age of 18 must not use the Software. Parents or legal guardians may not agree to these Terms and Conditions on their behalf.
Except as expressly set out in the present Terms and Conditions, YOU SHALL NOT:
(a) remove, delete, alter or obscure any trademarks or any copyright, trademark, patent or other intellectual property or proprietary rights notices from the Software, including any copy thereof;
(b) take any action that imposes an unreasonable or disproportionately large load on the Software;
(c) facilitate any viruses, trojan horses, malware, worms or other computer programming routines that attempt to or may damage, disrupt, corrupt, misuse, detrimentally interfere with, surreptitiously intercept or expropriate, or gain unauthorized access to any system, data or information related to the Software; or
(d) use the Software in any unlawful manner, for any unlawful purpose, or in any manner inconsistent with these terms, or act fraudulently or maliciously, for example, by hacking into or inserting malicious code, such as viruses, or harmful data, into the Software;
When you make a payment, fees may be charged to process your transaction by other third-party nodes in the Lightning network.
In any case, please note that we and the Software do not collect any fees.
Unless otherwise stated by us, we have all necessary intellectual property rights in the Software and in any content provided in connection with our Software.
Except as expressly set forth in the Terms and Conditions, we and you do not grant each other any rights, implied or otherwise, to the other’s content or any of the other’s intellectual property.
Personal information that you may supply to the Software is subject to our Privacy Policy.
We may amend the Terms and Conditions from time to time.
When you start the Software next time, we notify you if any changes. New terms may be displayed on-screen, and you may be required to read and accept them to continue your use of the Software.
We do not guarantee that our Software is error-free, reliable or will operate without interruption. Our Software works on the “as-is” principle.
To the extent permitted by law, we hereby expressly exclude any liability for any direct, indirect or consequential loss or damage incurred by any user in connection with our Software or in connection with the use, inability to use, or results of the use of our Software, any websites under the links on our Software or linked to them, and any materials posted on the Software.
These loss and damages include but are not limited to loss of income or revenue, loss of business, profits or contracts, loss of anticipated savings, loss of data, loss of goodwill, loss of access to any website or any loss caused by your use of the Software.
However, nothing in these Terms and Conditions shall exclude or limit our liability for fraud, death or personal injury caused by our negligence, or for any other liability, which cannot be excluded or limited under applicable law.
You agree to defend, indemnify and hold harmless us, our employees, contractors, officers, directors, and agents from all liabilities, claims, and expenses that arise from your use or misuse of our Software.
Our Software may contain links to third-party websites and services. We are not responsible for the content, terms and conditions or privacy policies of third-party websites.
We encourage users to be aware when they leave our Software and to read their terms and conditions and privacy statements of the websites that collect personally identifiable information.
These Terms and Conditions, together with our Privacy Policy, other policies, rules, and guidelines posted in the Software constitute the entire agreement between you and us concerning to your use of our Software.
If any part of the Terms of Use is held invalid or unenforceable under the applicable law, the other parts of Terms of Use shall remain in full force and effect.
These Terms and Conditions and any dispute or claim (including non-contractual disputes or claims) arising out of or in connection with it or its subject matter or formation shall be governed by and construed according to the law of England and Wales.
All disputes, disagreements or claims, arising out of these Terms and Conditions or in connection with it, including any question regarding its existence, performance, violation, termination or invalidity, must be referred to and finally resolved by arbitration under the Rules of the London Court of International Arbitration (LCIA), which rules are deemed to be incorporated by reference into these Terms and Conditions. The seat of the arbitration shall be London, the number of arbitrators shall be one, and the language of the arbitration shall be English.
Should you believe that any materials available on the Software infringe your rights, third-party rights, or are offensive, please notify us.
You may email us at<EMAIL_ADDRESS>Our office is located at: Bitfury Holding B.V. of Herengracht 168, 1016 BP Amsterdam, The Netherlands.


Samsung S7&S8
Samsung Galaxy S7&S7 EDGE
Samsung Galaxy S7 and Samsung Galaxy S7 Edge are Android smartphones manufactured and marketed by Samsung Electronics. The phones were officially unveiled on 21 February 2016, during a Samsung press conference at Mobile World Congress, with a European and North American release on 11 March 2016. The Galaxy S7 and S7 Edge are the last two phones in the Samsung Galaxy S series to have a physical home button with a front-sided fingerprint sensor embedded in the button.
- Dimensions S7:142.4 mm (5.61 in) H,69.6 mm (2.74 in) W,7.9 mm (0.31 in) D
S7 Edge:150.9 mm (5.94 in) H,72.6 mm (2.86 in) W,7.7 mm (0.30 in) D - Weight S7: 152 g (5.4 oz)
S7 Edge: 157 g (5.5 oz) - Battery S7: 3,000 mAh, 3.85 V
S7 Edge: 3,600 mAh - Display S7: 5.1 in (130 mm) 227 ppcm (577 ppi)
S7 Edge: 5.5 in (140 mm) 210 ppcm (534 ppi) - Rear camera:Samsung ISOCELL S5K2L1 or Sony Exmor RS IMX260
- Front camera:Samsung S5K4E6 5 MP, f/1.7 aperture
- GPU:Exynos: Mali-T880 MP12
Snapdragon: Adreno 53
Price(S7): 650€ 599€ Price(S7 Edge): 680€ 640€


welcome to my low quality website with a low quality file
we are commited giving you the worst products, for the worst prices, all day, everyday
1 million per day subscription (Elon please buy this)
i'm a little low on money for that, but I can a one time $1 file!


Exciting news from the BBC. Werner Herzog has been persuaded to direct a forthcoming episode of twee bucolic period drama Lark Rise To Candleford. This follows the unprecedented global success of the scene where the peasant sprawled in the drainage ditch recites Captain Beefheart's Old Fart At Play.
Herzog is currently working on the screenplay for his episode, which is likely to feature either a conquistador and a gang of howler monkeys laying waste to Dorcas Lane's Candleford post office, and/or an attempt by a deranged impresario to build an opera house in the squalid village of Lark Rise.


Industries:
Expertise in developing interactive VR content for various industries such as: Retail, Engineering & Manufacturing, Education, Real Estate, Healthcare & Travel.
Expertise in developing interactive VR content for various industries such as: Retail, Engineering & Manufacturing, Education, Real Estate, Healthcare & Travel.
Leverage our analytics platform to gain deeper understanding of the users' behavior in VR environment.
We work on Unity & Unreal engine developing content for different hardware: mobile VR, PC VR & Standalone VR.
Voluptatibus quaerat laboriosam fugit non Ut consequatur animi est molestiae enim a voluptate totam natus modi debitis dicta impedit voluptatum quod sapiente illo saepe explicabo quisquam perferendis labore et illum suscipit
© 2017 ProBootstrap:Resto. All Rights Reserved. Images by GraphicBurger & Unsplash


Yes
No
Not Sure
Register


Software Developer - Associate Vice President
Citigroup - GSP Algo Technology
Drove enhancements to the Auto Market Maker (AMM), working closely with the quant team and 6 developers globally
Enhanced components (Java) to add additional venues, feeds, & HY securities
Analyzed performance enhancements using KDB and adjusted the relevant flows
Worked with another developer to create automatic integration tests in Clojure
Coordinated with the global eTrading team to ensure stability
Attended Grace Hopper Conference to recruit for Citi
Participated in multiple diversity and women in computing panels
Technologies: Java 8, KDB, Clojure, Redis, JMS
July 2018 - Present
Software Developer - Analyst (2nd Rotation)
Citigroup - Rates eTrading Technology
Worked with a team of 4 to iteratively enhance the trading flow
Enhanced price streaming & auto negotiation for RFQs in a Spring application
Improved the automatic response rate by 600%
Upgraded the gateways to include MiFID II requirements
Automated the trading of new securities, now traded electronically
Technologies: Java, Spring, ION
September 2017 - July 2018
Software Developer - Analyst (1st Rotation)
Citigroup - Credit eTrading Technology
Collaborated in a team of 2 to create a caching service using JMS and Redis
Incorporated tiering and size adjustments into a offering system, built on Java 8
Built a common distribution service, used across markets
Developed an offering and trading service for retail venues
Attended HR event planning sessions and participated in four recruiting events
Technologies: Java 8, Scala, JMS, Redis, Disruptor Framework
June 2016 - September 2017
Jr Network Security Analyst
NYU Technology Security Services
Worked in a small team of 5 to monitor NYU's network to detect viruses and configure forensic hardware during critical incidents
Technologies: Python, Linux Scripting, ArcSight
February 2014 - May 2016
Software Developer - Summer Analyst
Citigroup - Equity Technology
Created a UI using Javascript to aggregate data from a Sybase DB and Spring backend. This included customizable charts for client analytics data.
Technologies: Java, Spring, ExtJS, HighCharts, Sybase
June 2015 - August 2015


Choose Color
×
Click to choose color
Colored
Rate of change
Add more colors
Random
Choose color
square
heart
arbitrary
Change size
Upload Image
rows/columns
create
clear


Binds an AutoCompleteList instance to a Node instance.
Example:
Y.one('#my-input').plug(Y.Plugin.AutoComplete, { source: 'select * from search.suggest where query="{query}"' }); // You can now access the AutoCompleteList instance at Y.one('#my-input').ac


Moderators & Administrator commands require special permissions, so here they are.
w!kick
Kick Members
w!ban
Ban Members
w!clear
w!mute
w!unmute
w!warn
w!infractions
w!infractions remove
w!snipe
w!say
Manage Messages
w!setup
Dashboard Access
Manage Server


{% extends 'base.html' %} {% load static %} {% block title %}
The university's origins trace to the Industrial Training Center, founded in March 1993. In November 1995, it became a Government Technological Institute (GTI), offering two-year diplomas on vocational studies. In October 1999, the school was "upgraded" to a Government Technological College (GTC), offering three-year Bachelor of Technology (BTech) programs, and again in January 2007 to the Technological University level, offering bachelor's degree programs in Engineering and Architecture and master's degree programs in Engineering. It is part of a number of formerly two-year schools that have been promoted to university level in recent years. The military government, which repeatedly closed down schools and universities in the 1990s, has pursued a policy of dispersing students away from major city centers. The university's 125 hectare (310-acre) campus is outside Thanlyin, and actually closer to a smaller town of Kyauktan Township. In 2007, 461 students graduated with Bachelor of Engineering (BE) or Bachelor of Architecture (BArch) degrees.


We lovingly create Web Development, UXUI Design and Branding projects. We are based in Derbyshire, England. You can check out all of our latest work via Instagram. Alternatively if you want to find out what we are thinking, why don't you take a look at our blog.
We spend so much time working with customers, sometimes we don't have time to keep our portfolio up to date. If you want to see some of our latest and greatest work, check out our Instagram feed!
Loading Gallery...
<EMAIL_ADDRESS>+447446 976 265


Looks like you have JavaScript turned off!
Why you should enable JavaScript on my site:
Nothing on the website will render without it, because I use
Vue
to make the whole site a single page app.
My website is pretty, and I think you will enjoy looking at it.
My site enforces https, so no one is going to inject any unwanted javascript into this site.
This website exists for the sole purpose of showing of my ability to design and implement software...
Having JavaScript turned off defeats that purpose.
Things my site doesn't use JavaScript for:
This site doesn't use
any cookies
at all.
I don't report back any information about you to anyone.
I don't even request content dynamically, the website is 100% static.
You can find the source of my site
here
if you don't believe me.


Before Change
dataset = self._load_dataset(dataset_name)
for featurizer in self.featurizers:
print("Featurizing {} with {}....".format(dataset_name, featurizer.__class__.__name__))
featurizer.generate(dataset, dataset_name)
@staticmethod
def _load_dataset(dataset_name):
Responsible for finding datasets and reading them into dataframes.
After Change
featurizer, dataset_name = futures[future]
try:
future.result()
logging.info("Completed featurization of dataset `{dataset_name}` with featurizer `{featurizer}`.".format(
dataset_name=dataset_name,
featurizer=featurizer.__class__.__name__
))
except Exception as e:
logging.exception("Failed featurization of dataset `{dataset_name}` with featurizer `{featurizer}`.".format(
dataset_name=dataset_name,
featurizer=featurizer.__class__.__name__


GOALS
I mentioned on the first page that I became interested in programming as part of a solution to change my life for the better. I have several goals that I would like to accomplish, both during the Galvanize program and further into my career:
- Get a job. This may seem obvious but it’s also very important. I need to pay off my loans somehow!
- Learn the fundamentals of HTML, CSS, and JavaScript and hone those skills to the point where I become an attractive candidate for tech positions, ideally for companies in creative industries (such as music or film).
- Learn how to learn new technologies. One of the first things I discovered about this industry is that it is always changing. Being able to adapt to rapidly changing environments and processes will be a huge advantage in what will be a very competitive market and I intend to embrace that concept wholeheartedly.
- Become a competent, jack-of-all-trades full-stack developer, but also choose a path to specialize in and ultimately master. I do not know what this path will be, whether it’s backend, front end, CSS ninja, or data analytics, but I know that I will be much more valuable as a developer if I can do something better than most.
- Learn to collaborate. Honestly one of the biggest draws of working in tech for me was the opportunity to collaborate with others on a regular basis. I’ve always thrived in a group environment and I love the exchange of ideas and methods to come up with the best final product.
- Ultimately make my way back into the music industry. This was touched on before but it’s a big reason I chose to switch careers to Web Development. Tech is now an industry that is prevalent and essential to every other industry. As said before I thrive in collaborative environments and I would love nothing more than to go back to my community not only as a musician/sound engineer but also as a skilled web dev who can provide unique insights to help contribute to worthwhile projects.
That's it for goals (for now). I'm so excited to get started and really delve into this whole new world. I'm very grateful for the opportunity and look forward to seeing what I can accomplish!


---
layout: post
title: Your favorite Mobile application Platforms
date: 2014-01-19 21:41:00.000000000 +05:30
type: post
published: true
status: publish
categories: []
tags: []
meta:
blogger_blog: www.technoruler.com
blogger_author: VISWAPRASATH KS
blogger_cb097c283b9bbfde97b4822e7250157d_permalink: '4520681466457626861'
author:
login: viswaprasath
email<EMAIL_ADDRESS>display_name: Vitchu
first_name: ''
last_name: ''
---
Mobile Battle is one of the biggest battle of recent times. Many of the developers, business people, students like to develop mobile applications for variety of reasons.
Developers want to change their career path and start developing applications for their favorite platform. Entrepreneur wants to start mobile application development business in wide scale and want to earn money from the apps. Students want to earn some pocket money from the apps they develop.
Like this everyone has a very large number of reasons to develop mobile applications. But to which platform we have to target. This new year has seen really interesting 8 mobile platforms. Each have some of the world ratio.
The 2 Popular platform which we have used are Apple iOS and Android are still growing. With them we can see Windows Phone entry is growing very well.
Firefox OS is going to target the low priced mobiles. It is estimated most of low priced mobiles by the end of 2014 will be having Firefox OS.
Ubuntu will be coming very soon, but developers already love to develop applications for Ubuntu touch and they are currently using it by flashing their android mobiles.
BB10 has not seen big improvement but still lot of developers are there to develop mobile application for it.
Tizen and Jolla are Interesting in some markets.
The aim of the blog post to give the survey result which is happening in Facebook.
Survery
At the end developers, Entrepreneur , students and normal people will be benefited for investing their time to develop apps, run business and time to learn about it. And mostly importantly the money spent on buying the mobiles.
Google Android Sliver is following Android steps, so think accordingly and post you vote.
There is also Nokia Android.
Contribute for this Survey in the FB Groups.


Trait WhereTrait
Common functionality all items using a where statement use.
Direct Known Users
DSchoenbauer\Sql\Command\Delete, DSchoenbauer\Sql\Command\Select, DSchoenbauer\Sql\Command\Update
Namespace: DSchoenbauer\Sql\Command
Author: David Schoenbauer<EMAIL_ADDRESS>Located at Sql/Command/WhereTrait.php
Author: David Schoenbauer<EMAIL_ADDRESS>Located at Sql/Command/WhereTrait.php
public
string
|
#
getWhereStatement( )
Adds the prefix WHERE to what the where object has provided as a where statement |
protected
boolean
|
|
public
|
|
public
inherit
|
#
setWhere(
adds a where statement to a given statement |
public
array
|


| TA: | {{ first_name }} {{ last_name }} |
|---|---|
| Position: | {{ position_code }} {{ position_title }} |
| Supervisor(s): | {{ instructor_desc | escape }} |
{{ duty.description }}
{% endfor %}| Meetings | |
|---|---|
| {{ duty.hours }} hours | {{ duty.description }} |
| No Duties Listed | |
| Preparation | |
| {{ duty.hours }} hours | {{ duty.description }} |
| No Duties Listed | |
| Contact Time | |
| {{ duty.hours }} hours | {{ duty.description }} |
| No Duties Listed | |
| Marking/Grading | |
| {{ duty.hours }} hours | {{ duty.description }} |
| No Duties Listed | |
| Training | |
| {{ duty.hours }} hours | {{ duty.description }} |
| No Duties Listed | |
| Other duties | |
| {{ duty.hours }} hours | {{ duty.description }} |
| No Duties Listed |
Total hours: {{ total_hours }}.
Please sign below to acknowledge receipt of this DDAH.


Premium proxy: Subscribe here!
Are you looking for a private HTTP(s) proxy located in a particular country which will allow you to view localized versions of the web sites and to download content restricted to the particular territory? Look no further! Subscribe to our premium proxy server now!
Open Proxy List
We're trying to help you find proxies you need. That is why we have made it possible to view proxies by port number, by country or by proxy type. If you'd like to be more selective, please read next paragraph.
You can interact with our frequently updated proxy database by means of the listboxes below. By choosing some options like proxy type or connection latency you can select proxies you need. Table contains list of proxies in our database matching specified criteria.
By clicking on the column headers you can sort current proxylist. You can retreive this list by clicking on the link 'Get Proxylist' and choosing convinient method.
Proxy selection details - sorted by reliability column, descending
| IP address | Port | Type | SSL | Country | Latency (msec) |
Reliability (%) |
Details | |
|---|---|---|---|---|---|---|---|---|
| Get your premium HTTP(s) proxy! Sign up for 3 day free trial now! | ||||||||
| <IP_ADDRESS> | 1080 | Socks4 | true | Argentina | 30 | 100 | Details | |
| <IP_ADDRESS> | 1080 | Socks4 | true | Bangladesh | 30 | 100 | Details | |
| <IP_ADDRESS> | 31546 | Socks4 | true | India | 30 | 100 | Details | |
| <IP_ADDRESS> | 1080 | Socks4 | true | Kyrgyzstan | 30 | 100 | Details | |
| <IP_ADDRESS> | 17922 | Socks5 | true | Italy | 30 | 100 | Details | |
Proxz lists : Proxy Wiki : ProxyLists : My-Proxy : FreeProxyLists | ||||||||
| <IP_ADDRESS> | 8841 | Socks4 | true | United States | 30 | 100 | Details | |
| <IP_ADDRESS> | 1080 | Socks4 | true | India | 30 | 100 | Details | |
| <IP_ADDRESS> | 1080 | Socks4 | true | China | 30 | 100 | Details | |
| <IP_ADDRESS> | 1080 | Socks5 | true | Norway | 30 | 100 | Details | |
| <IP_ADDRESS> | 22020 | Socks4 | true | Bolivia | 30 | 100 | Details |
| [Get Proxylist!] |


Download free movies with smallest size and hd quality
Welcome to our website here you can download any movie
with smallest size and with 720p,1080p and 3d quality
only here:Universal movies.com
popular downloads
6.6 / 10
Action
Adventure
2019
7 / 10
Action
Adventure
2019
9 / 10
Comedy
Adventure
2019
8 / 10
Action
Adventure
2019
Latest Movies
6 / 10
Animation
Adventure
2019
5.5 / 10
Comedy
Adventure
2019
6 / 10
Biography
2019
7 / 10
Sci-fi
Adventure
2019
5 / 10
Action
Comedy
2019
7 / 10
Horror
Romance
2019
6.5 / 10
Horror
Comedy
2019
6 / 10
Action
Adventure
2018
5 / 10
Drama
Adventure
2018
4 / 10
Action
Adventure
2019
6.6 / 10
Action
Horror
2019
Search us
Terms & Conditions
By accessing or using this website you agree to be bound to our Terms & Conditions.
Privacy & Policy
Our website is committed to protect your Privacy & Policy To read more about Privacy & Policy e-mail us.
Copyright @ 2010-19 Universal Movies.All Rights Reserved


--- layout: page status: publish published: true title: State Facilities author: display_name: Jessie Pechmann login: jpechmann email<EMAIL_ADDRESS>url: '' author_login: jpechmann author_email<EMAIL_ADDRESS>wordpress_id: 10047 wordpress_url: http://gis.utah.gov/?page_id=10047 date: '2012-06-22 13:04:15 -0600' date_gmt: '2012-06-22 19:04:15 -0600' categories: [] tags: - SDE - sgid - Data - utah - gis - map - mapping - Government - dataset - download - agrc - layer - shapefile - geodatabase - metadata - shp - gdb - kml - lyr - digital - geographic - information - database - state - statewide - vector - facilities - buildings - state government - entities - local ---
Data Type: GIS Data Layer
Steward(s): AGRC & Other State Agencies
Abstract:
Society.StateFacilities contains locations for facilities in the state of Utah that are controlled by the state or by entities of the state of Utah. This dataset was created by AGRC with the help of several state agencies and entities. Not all facilities
have a geographic location in this dataset.
Last Update: 2011
Contact: agrc@utah.gov


This is a template designed by free website templates for you for free you can replace all the text by your own text. This is just a place holder so you can see how the site would look like.
If you're having problems editing the template please don't hesitate to ask for help on the forum. You will get help as soon as possible. You can also use the forum to tell us what you like or dislike and what you would like to see more.
Your feedback is very important to us and we will do everything to fulfil your wishes. more...


--- title: 'Graph 3: PCA Correlations ' author: '' date: '2018-06-12' slug: graph-4-tba categories: [] tags: [] description: Desc hacker_news_id: '' lobsters_id: '' meta_img: /images/image.jpg ---
All the graphs of this series are generated from data concerning frequency with which words from assorted dictionaries appear in original reddit posts from various subreddits.
Because alldicts
is of such high dimensionality– 65 is a lot of features to keep track of– I ran principle component analysis (PCA) on the data to reduce the dimensionality to 21 features, while still explaining 90% of the variance within the dataset. The draw back of this approach is that the principle components can be difficult to interpret. Thus, the plots below explore the relationship/correlation between each of these the 21 principle components a the original 65 features.
# original data
nfreqs <- read_csv(here('static','data','redditProject','normal_subset_freqs.csv'))
## Parsed with column specification:
## cols(
## .default = col_double(),
## subreddit = col_character()
## )
## See spec(...) for full column specifications.
# data in PCA space
redfreqs <- read_csv(here('static','data','redditProject','reduced_normal_subset_freqs'))
## Warning: Missing column names filled in: 'X1' [1]
## Parsed with column specification:
## cols(
## .default = col_double(),
## X1 = col_integer()
## )
## See spec(...) for full column specifications.
#Orininal dimensionality, # of principle components used
od_num=65
pc_num=21
# Calculate correlation
correlations <- cor(nfreqs[c(2:(od_num+1))],redfreqs[c(2:(pc_num+1))])
#Tidyify
corlong <- melt(correlations ) %>%
setNames(c('orig', 'red_dim', 'correlation'))
In its current form, audience for this project is almost entirely myself and the professors I’m trying to convince to help me with this project. Eventually I hope to research may be of interest to a larger group, including:
This graph is essentially a heat map of the correlations between the features. Each of the axes in this chart represents a set of features, and the values in the chart (in this case correlation) are represented by colored tiles.
For high dimensionality datasets, with a large number of features on one or both axes, this chart can be hard to interpret as it can be diffilcut to see which tiles represent which features. As such, this graph is best for sets of seven for fewer features, so that tiles are relatively close to their labels and columns are parseable. Alternatively, some method of highlighting important tiles and their matching labels could help address this.
Additionally, because values are represented by color in this graph, which is not particularly effective at for communicating numerical specifics, this chart should not be used when actual values are important. It is more effective when the goal is to highlight extreme values or patterns.
To represent correlation, a diverging color scheme with high saturation at the extremes and low saturation in the center is appropriate. This way color represents the binary value of sign and saturation shows distance of a value from zero.
A more common use of this graph is to show, within a a dataset, covariance between features. In that version, the features on each axis would be identical, and along the diagnals, all values are 1, representing correlation between a variable and itsels. A similar graph commonly represents performance of supervised machine learning algorithms; in such a plot the axis represent true and predicted categories of data, and values represent the number of correct and incorrectly classified data points.
This graph show the correlation between principal components on the x-axis and dictionary frequencies on the y-axis and color representing the corelation values. The decision to have original values on the y axis and principal components on the x is arbitrary but does make dictionary labels easier to read. My color scheme ranges from dark purple to dark green with white in the center in order to make values that are far from 0 pop out. I was unable to find a way to highlight specific rows and columns (I wanted to put a bold outline around coluns of interest), but that would be a useful addition to the plot.
I originally made this plot by reading in covariances from a dataframe constructed in python and using the default colors. This was terribly ineffective.
## Warning: Missing column names filled in: 'X1' [1]
## Parsed with column specification:
## cols(
## .default = col_double(),
## X1 = col_character()
## )
## See spec(...) for full column specifications.
The actual plot presented here is based on the correlations calucluated in the chunck incldued in the data section of this post. The visualization of these values is extremely simple, including on one ggplot call to specify appropriate aesthetics and the added geom_tile line. I also add a line to specify the purple/green color palette and one more to rotate x axis labels so that they don’t overlap.


What is Ruby's Symbol and why is it awesome?
A Symbol is the most basic Ruby object you can create. It's just a name and an internal ID. Symbols are useful because a given symbol name refers to the same object throughout a Ruby program. Symbols are more efficient than strings. Two strings with the same contents are two different objects, but for any given name there is only one Symbol object. This can save both time and memory.
There are several differences between the implementation of symbols and strings. The most important thing about symbols is that they are immutable. This means that they will never have their value changed. Because of this, symbols are instantiated faster than strings and some operations like comparing two symbols is also faster.
In database, when we use hash, it is perfectly make sense that we use symbol as a key rather than string.
Notice that the object_id of user and user1 are same? Because the keys are symbol.
Most use case of symbol in rails are in the model. Many object name and attribute names can be stored in symbol. This includes method names, fixed concepts, directions, shapes, configuration option names ... Here is the example.
Within a method, most common way of using symbol is perhaps using with Proc ('&'). '&' operator takes its operand, converts it to a Proc object. With proc, we can use symbols like :+, :-


tidytable
is a data frame manipulation library for users who need data.table
speed but prefer tidyverse
-like syntax.
Install the released version from CRAN with:
install.packages("tidytable")
Or install the development version from GitHub with:
# install.packages("pak")
pak::pak("markfairbanks/tidytable")
tidytable
replicates tidyverse
syntax but uses data.table
in the background. In general you can simply use library(tidytable)
to replace your existing dplyr
and tidyr
code with data.table
backed equivalents.
A full list of implemented functions can be found here.
library(tidytable)
df <- data.table(x = 1:3, y = 4:6, z = c("a", "a", "b"))
df %>%
select(x, y, z) %>%
filter(x < 4, y > 1) %>%
arrange(x, y) %>%
mutate(double_x = x * 2,
x_plus_y = x + y)
#> # A tidytable: 3 × 5
#> x y z double_x x_plus_y
#> <int> <int> <chr> <dbl> <int>
#> 1 1 4 a 2 5
#> 2 2 5 a 4 7
#> 3 3 6 b 6 9
You can use the normal tidyverse
group_by()
/ungroup()
workflow, or you can use .by
syntax to reduce typing. Using .by
in a function is shorthand for df %>% group_by() %>% some_function() %>% ungroup()
.
.by = z
.by = c(y, z)
df <- data.table(x = c("a", "a", "b"), y = c("a", "a", "b"), z = 1:3)
df %>%
summarize(avg_z = mean(z),
.by = c(x, y))
#> # A tidytable: 2 × 3
#> x y avg_z
#> <chr> <chr> <dbl>
#> 1 a a 1.5
#> 2 b b 3
All functions that can operate by group have a .by
argument built in. (mutate()
, filter()
, summarize()
, etc.)
The above syntax is equivalent to:
df %>%
group_by(x, y) %>%
summarize(avg_z = mean(z)) %>%
ungroup()
#> # A tidytable: 2 × 3
#> x y avg_z
#> <chr> <chr> <dbl>
#> 1 a a 1.5
#> 2 b b 3
Both options are available for users, so you can use the syntax that you prefer.
tidytable
allows you to select/drop columns just like you would in the tidyverse by utilizing the tidyselect
package in the background.
Normal selection can be mixed with all tidyselect
helpers: everything()
, starts_with()
, ends_with()
, any_of()
, where()
, etc.
df <- data.table(
a = 1:3,
b1 = 4:6,
b2 = 7:9,
c = c("a", "a", "b")
)
df %>%
select(a, starts_with("b"))
#> # A tidytable: 3 × 3
#> a b1 b2
#> <int> <int> <int>
#> 1 1 4 7
#> 2 2 5 8
#> 3 3 6 9
A full overview of selection options can be found here.
Tidy evaluation can be used to write custom functions with tidytable
functions. The embracing shortcut {{ }}
works, or you can use enquo()
with !!
if you prefer:
df <- data.table(x = c(1, 1, 1), y = 4:6, z = c("a", "a", "b"))
add_one <- function(data, add_col) {
data %>%
mutate(new_col = {{ add_col }} + 1)
}
df %>%
add_one(x)
#> # A tidytable: 3 × 4
#> x y z new_col
#> <dbl> <int> <chr> <dbl>
#> 1 1 4 a 2
#> 2 1 5 a 2
#> 3 1 6 b 2
The .data
and .env
pronouns also work within tidytable
functions:
var <- 10
df %>%
mutate(new_col = .data$x + .env$var)
#> # A tidytable: 3 × 4
#> x y z new_col
#> <dbl> <int> <chr> <dbl>
#> 1 1 4 a 11
#> 2 1 5 a 11
#> 3 1 6 b 11
A full overview of tidy evaluation can be found here.
dt()
helper
The dt()
function makes regular data.table
syntax pipeable, so you can easily mix tidytable
syntax with data.table
syntax:
For those interested in performance, speed comparisons can be found here.
tidytable
is only possible because of the great contributions to R by the data.table
and tidyverse
teams. data.table
is used as the main data frame engine in the background, while tidyverse
packages like rlang
, vctrs
, and tidyselect
are heavily relied upon to give users an experience similar to dplyr
and tidyr
.


Dynamic
One of the two main language types in programing is "Dynamic". Some example of dynamic languages are html, css, ruby, and javascript. The system will run your application until it hits an error.
Here’s an example of a dynamic language
a = 4
def say_hi(anything)
if anything < 100
p 'Hi'
else
“Summer sausage” + anything
end
end
say_hi(a)
~: > Hi
As you can see there was an error with Summer sausage adding 4 to it. They system wouldn’t hit that error because it worked on the IF statement. Until you pass in something else to hit the else statement. Your program will still run.


abstract class OrderFeatureQuery extends ModelCriteria
Base class that represents a query for the 'order_feature' table.
Methods
|
__construct(string $dbName = 'thelia', string $modelName = '\\Thelia\\Model\\OrderFeature', string $modelAlias = null)
Initializes internal state of \Thelia\Model\Base\OrderFeatureQuery object. |
||
| static OrderFeatureQuery |
create(string $modelAlias = null, Criteria $criteria = null)
Returns a new ChildOrderFeatureQuery object. |
|
| OrderFeature|array|mixed |
findPk(mixed $key, ConnectionInterface $con = null)
Find object by primary key. |
|
| ObjectCollection|array|mixed |
findPks(array $keys, ConnectionInterface $con = null)
Find objects by primary key |
|
| OrderFeatureQuery |
filterByPrimaryKey(mixed $key)
Filter the query by primary key |
|
| OrderFeatureQuery |
filterByPrimaryKeys(array $keys)
Filter the query by a list of primary keys |
|
| OrderFeatureQuery |
filterById(mixed $id = null, string $comparison = null)
Filter the query on the id column |
|
| OrderFeatureQuery |
filterByOrderProductId(mixed $orderProductId = null, string $comparison = null)
Filter the query on the orderproductid column |
|
| OrderFeatureQuery |
filterByFeatureDesc(string $featureDesc = null, string $comparison = null)
Filter the query on the feature_desc column |
|
| OrderFeatureQuery |
filterByFeatureAvDesc(string $featureAvDesc = null, string $comparison = null)
Filter the query on the featureavdesc column |
|
| OrderFeatureQuery |
filterByCreatedAt(mixed $createdAt = null, string $comparison = null)
Filter the query on the created_at column |
|
| OrderFeatureQuery |
filterByUpdatedAt(mixed $updatedAt = null, string $comparison = null)
Filter the query on the updated_at column |
|
| OrderFeatureQuery |
filterByOrderProduct(OrderProduct|ObjectCollection $orderProduct, string $comparison = null)
Filter the query by a related \Thelia\Model\OrderProduct object |
|
| OrderFeatureQuery |
joinOrderProduct(string $relationAlias = null, string $joinType = Criteria::INNER_JOIN)
Adds a JOIN clause to the query using the OrderProduct relation |
|
| OrderProductQuery |
useOrderProductQuery(string $relationAlias = null, string $joinType = Criteria::INNER_JOIN)
Use the OrderProduct relation OrderProduct object |
|
| OrderFeatureQuery |
prune(OrderFeature $orderFeature = null)
Exclude object from result |
|
| int |
doDeleteAll(ConnectionInterface $con = null)
Deletes all rows from the order_feature table. |
|
| int |
delete(ConnectionInterface $con = null)
Performs a DELETE on the database, given a ChildOrderFeature or Criteria object OR a primary key value. |
|
| OrderFeatureQuery |
recentlyUpdated(int $nbDays = 7)
Filter by the latest updated |
|
| OrderFeatureQuery |
recentlyCreated(int $nbDays = 7)
Filter by the latest created |
|
| OrderFeatureQuery |
lastUpdatedFirst()
Order by update date desc |
|
| OrderFeatureQuery |
firstUpdatedFirst()
Order by update date asc |
|
| OrderFeatureQuery |
lastCreatedFirst()
Order by create date desc |
|
| OrderFeatureQuery |
firstCreatedFirst()
Order by create date asc |
|
| ChildOrderFeatureQuery |
orderById($order = Criteria::ASC)
Order by the id column |
|
| ChildOrderFeatureQuery |
orderByOrderProductId($order = Criteria::ASC)
Order by the orderproductid column |
|
| ChildOrderFeatureQuery |
orderByFeatureDesc($order = Criteria::ASC)
Order by the feature_desc column |
|
| ChildOrderFeatureQuery |
orderByFeatureAvDesc($order = Criteria::ASC)
Order by the featureavdesc column |
|
| ChildOrderFeatureQuery |
orderByCreatedAt($order = Criteria::ASC)
Order by the created_at column |
|
| ChildOrderFeatureQuery |
orderByUpdatedAt($order = Criteria::ASC)
Order by the updated_at column |
|
| ChildOrderFeatureQuery |
groupById()
Group by the id column |
|
| ChildOrderFeatureQuery |
groupByOrderProductId()
Group by the orderproductid column |
|
| ChildOrderFeatureQuery |
groupByFeatureDesc()
Group by the feature_desc column |
|
| ChildOrderFeatureQuery |
groupByFeatureAvDesc()
Group by the featureavdesc column |
|
| ChildOrderFeatureQuery |
groupByCreatedAt()
Group by the created_at column |
|
| ChildOrderFeatureQuery |
groupByUpdatedAt()
Group by the updated_at column |
|
| ChildOrderFeatureQuery |
leftJoin($relation)
Adds a LEFT JOIN clause to the query |
|
| ChildOrderFeatureQuery |
rightJoin($relation)
Adds a RIGHT JOIN clause to the query |
|
| ChildOrderFeatureQuery |
innerJoin($relation)
Adds a INNER JOIN clause to the query |
|
| ChildOrderFeatureQuery |
leftJoinOrderProduct($relationAlias = null)
Adds a LEFT JOIN clause to the query using the OrderProduct relation |
|
| ChildOrderFeatureQuery |
rightJoinOrderProduct($relationAlias = null)
Adds a RIGHT JOIN clause to the query using the OrderProduct relation |
|
| ChildOrderFeatureQuery |
innerJoinOrderProduct($relationAlias = null)
Adds a INNER JOIN clause to the query using the OrderProduct relation |
|
| ChildOrderFeature |
findOne(ConnectionInterface $con = null)
Return the first ChildOrderFeature matching the query |
|
| ChildOrderFeature |
findOneOrCreate(ConnectionInterface $con = null)
Return the first ChildOrderFeature matching the query, or a new ChildOrderFeature object populated from the query conditions when no match is found |
|
| ChildOrderFeature |
findOneById(int $id)
Return the first ChildOrderFeature filtered by the id column |
|
| ChildOrderFeature |
findOneByOrderProductId(int $order_product_id)
Return the first ChildOrderFeature filtered by the orderproductid column |
|
| ChildOrderFeature |
findOneByFeatureDesc(string $feature_desc)
Return the first ChildOrderFeature filtered by the feature_desc column |
|
| ChildOrderFeature |
findOneByFeatureAvDesc(string $feature_av_desc)
Return the first ChildOrderFeature filtered by the featureavdesc column |
|
| ChildOrderFeature |
findOneByCreatedAt(string $created_at)
Return the first ChildOrderFeature filtered by the created_at column |
|
| ChildOrderFeature |
findOneByUpdatedAt(string $updated_at)
Return the first ChildOrderFeature filtered by the updated_at column |
|
| array |
findById(int $id)
Return ChildOrderFeature objects filtered by the id column |
|
| array |
findByOrderProductId(int $order_product_id)
Return ChildOrderFeature objects filtered by the orderproductid column |
|
| array |
findByFeatureDesc(string $feature_desc)
Return ChildOrderFeature objects filtered by the feature_desc column |
|
| array |
findByFeatureAvDesc(string $feature_av_desc)
Return ChildOrderFeature objects filtered by the featureavdesc column |
|
| array |
findByCreatedAt(string $created_at)
Return ChildOrderFeature objects filtered by the created_at column |
|
| array |
findByUpdatedAt(string $updated_at)
Return ChildOrderFeature objects filtered by the updated_at column |
Details
at line 74
public
__construct(string $dbName = 'thelia', string $modelName = '\\Thelia\\Model\\OrderFeature', string $modelAlias = null)
Initializes internal state of \Thelia\Model\Base\OrderFeatureQuery object.
at line 87
static public OrderFeatureQuery
create(string $modelAlias = null, Criteria $criteria = null)
Returns a new ChildOrderFeatureQuery object.
at line 117
public OrderFeature|array|mixed
findPk(mixed $key, ConnectionInterface $con = null)
Find object by primary key.
Propel uses the instance pool to skip the database if the object exists. Go fast if the query is untouched.
$obj = $c->findPk(12, $con);
at line 199
public ObjectCollection|array|mixed
findPks(array $keys, ConnectionInterface $con = null)
Find objects by primary key $objs = $c->findPks(array(12, 56, 832), $con);
at line 220
public OrderFeatureQuery
filterByPrimaryKey(mixed $key)
Filter the query by primary key
at line 233
public OrderFeatureQuery
filterByPrimaryKeys(array $keys)
Filter the query by a list of primary keys
at line 257
public OrderFeatureQuery
filterById(mixed $id = null, string $comparison = null)
Filter the query on the id column
Example usage:
$query->filterById(1234); // WHERE id = 1234
$query->filterById(array(12, 34)); // WHERE id IN (12, 34)
$query->filterById(array('min' => 12)); // WHERE id > 12
at line 300
public OrderFeatureQuery
filterByOrderProductId(mixed $orderProductId = null, string $comparison = null)
Filter the query on the orderproductid column
Example usage:
$query->filterByOrderProductId(1234); // WHERE orderproductid = 1234
$query->filterByOrderProductId(array(12, 34)); // WHERE orderproductid IN (12, 34)
$query->filterByOrderProductId(array('min' => 12)); // WHERE orderproductid > 12
at line 338
public OrderFeatureQuery
filterByFeatureDesc(string $featureDesc = null, string $comparison = null)
Filter the query on the feature_desc column
Example usage:
$query->filterByFeatureDesc('fooValue'); // WHERE featuredesc = 'fooValue'
$query->filterByFeatureDesc('%fooValue%'); // WHERE featuredesc LIKE '%fooValue%'
at line 367
public OrderFeatureQuery
filterByFeatureAvDesc(string $featureAvDesc = null, string $comparison = null)
Filter the query on the featureavdesc column
Example usage:
$query->filterByFeatureAvDesc('fooValue'); // WHERE featureavdesc = 'fooValue'
$query->filterByFeatureAvDesc('%fooValue%'); // WHERE featureavdesc LIKE '%fooValue%'
at line 401
public OrderFeatureQuery
filterByCreatedAt(mixed $createdAt = null, string $comparison = null)
Filter the query on the created_at column
Example usage:
$query->filterByCreatedAt('2011-03-14'); // WHERE createdat = '2011-03-14'
$query->filterByCreatedAt('now'); // WHERE createdat = '2011-03-14'
$query->filterByCreatedAt(array('max' => 'yesterday')); // WHERE created_at > '2011-03-13'
at line 444
public OrderFeatureQuery
filterByUpdatedAt(mixed $updatedAt = null, string $comparison = null)
Filter the query on the updated_at column
Example usage:
$query->filterByUpdatedAt('2011-03-14'); // WHERE updatedat = '2011-03-14'
$query->filterByUpdatedAt('now'); // WHERE updatedat = '2011-03-14'
$query->filterByUpdatedAt(array('max' => 'yesterday')); // WHERE updated_at > '2011-03-13'
at line 475
public OrderFeatureQuery
filterByOrderProduct(OrderProduct|ObjectCollection $orderProduct, string $comparison = null)
Filter the query by a related \Thelia\Model\OrderProduct object
at line 500
public OrderFeatureQuery
joinOrderProduct(string $relationAlias = null, string $joinType = Criteria::INNER_JOIN)
Adds a JOIN clause to the query using the OrderProduct relation
at line 535
public OrderProductQuery
useOrderProductQuery(string $relationAlias = null, string $joinType = Criteria::INNER_JOIN)
Use the OrderProduct relation OrderProduct object
at line 549
public OrderFeatureQuery
prune(OrderFeature $orderFeature = null)
Exclude object from result
at line 564
public int
doDeleteAll(ConnectionInterface $con = null)
Deletes all rows from the order_feature table.
at line 601
public int
delete(ConnectionInterface $con = null)
Performs a DELETE on the database, given a ChildOrderFeature or Criteria object OR a primary key value.
at line 642
public OrderFeatureQuery
recentlyUpdated(int $nbDays = 7)
Filter by the latest updated
at line 654
public OrderFeatureQuery
recentlyCreated(int $nbDays = 7)
Filter by the latest created
at line 664
public OrderFeatureQuery
lastUpdatedFirst()
Order by update date desc
at line 674
public OrderFeatureQuery
firstUpdatedFirst()
Order by update date asc
at line 684
public OrderFeatureQuery
lastCreatedFirst()
Order by create date desc
at line 694
public OrderFeatureQuery
firstCreatedFirst()
Order by create date asc
at line 64
ChildOrderFeatureQuery
orderById($order = Criteria::ASC)
Order by the id column
at line 64
ChildOrderFeatureQuery
orderByOrderProductId($order = Criteria::ASC)
Order by the orderproductid column
at line 64
ChildOrderFeatureQuery
orderByFeatureDesc($order = Criteria::ASC)
Order by the feature_desc column
at line 64
ChildOrderFeatureQuery
orderByFeatureAvDesc($order = Criteria::ASC)
Order by the featureavdesc column
at line 64
ChildOrderFeatureQuery
orderByCreatedAt($order = Criteria::ASC)
Order by the created_at column
at line 64
ChildOrderFeatureQuery
orderByUpdatedAt($order = Criteria::ASC)
Order by the updated_at column
at line 64
ChildOrderFeatureQuery
groupById()
Group by the id column
at line 64
ChildOrderFeatureQuery
groupByOrderProductId()
Group by the orderproductid column
at line 64
ChildOrderFeatureQuery
groupByFeatureDesc()
Group by the feature_desc column
at line 64
ChildOrderFeatureQuery
groupByFeatureAvDesc()
Group by the featureavdesc column
at line 64
ChildOrderFeatureQuery
groupByCreatedAt()
Group by the created_at column
at line 64
ChildOrderFeatureQuery
groupByUpdatedAt()
Group by the updated_at column
at line 64
ChildOrderFeatureQuery
leftJoin($relation)
Adds a LEFT JOIN clause to the query
at line 64
ChildOrderFeatureQuery
rightJoin($relation)
Adds a RIGHT JOIN clause to the query
at line 64
ChildOrderFeatureQuery
innerJoin($relation)
Adds a INNER JOIN clause to the query
at line 64
ChildOrderFeatureQuery
leftJoinOrderProduct($relationAlias = null)
Adds a LEFT JOIN clause to the query using the OrderProduct relation
at line 64
ChildOrderFeatureQuery
rightJoinOrderProduct($relationAlias = null)
Adds a RIGHT JOIN clause to the query using the OrderProduct relation
at line 64
ChildOrderFeatureQuery
innerJoinOrderProduct($relationAlias = null)
Adds a INNER JOIN clause to the query using the OrderProduct relation
at line 64
ChildOrderFeature
findOne(ConnectionInterface $con = null)
Return the first ChildOrderFeature matching the query
at line 64
ChildOrderFeature
findOneOrCreate(ConnectionInterface $con = null)
Return the first ChildOrderFeature matching the query, or a new ChildOrderFeature object populated from the query conditions when no match is found
at line 64
ChildOrderFeature
findOneById(int $id)
Return the first ChildOrderFeature filtered by the id column
at line 64
ChildOrderFeature
findOneByOrderProductId(int $order_product_id)
Return the first ChildOrderFeature filtered by the orderproductid column
at line 64
ChildOrderFeature
findOneByFeatureDesc(string $feature_desc)
Return the first ChildOrderFeature filtered by the feature_desc column
at line 64
ChildOrderFeature
findOneByFeatureAvDesc(string $feature_av_desc)
Return the first ChildOrderFeature filtered by the featureavdesc column
at line 64
ChildOrderFeature
findOneByCreatedAt(string $created_at)
Return the first ChildOrderFeature filtered by the created_at column
at line 64
ChildOrderFeature
findOneByUpdatedAt(string $updated_at)
Return the first ChildOrderFeature filtered by the updated_at column
at line 64
array
findById(int $id)
Return ChildOrderFeature objects filtered by the id column
at line 64
array
findByOrderProductId(int $order_product_id)
Return ChildOrderFeature objects filtered by the orderproductid column
at line 64
array
findByFeatureDesc(string $feature_desc)
Return ChildOrderFeature objects filtered by the feature_desc column
at line 64
array
findByFeatureAvDesc(string $feature_av_desc)
Return ChildOrderFeature objects filtered by the featureavdesc column
at line 64
array
findByCreatedAt(string $created_at)
Return ChildOrderFeature objects filtered by the created_at column
at line 64
array
findByUpdatedAt(string $updated_at)
Return ChildOrderFeature objects filtered by the updated_at column


Annette, is the author of Bucket List Adventures, co-owner of Sugo Trattoria, a serial adventurer and creator of the award winning travel blog, Bucket List Journey. Annette passion is checking the world off of her bucket list one experience at a time.
After making a promise to herself to never let fear make her decisions, she has been encouraging others to dream bigger, step out of their comfort zones, have a curiosity of the world and live their best life
From eating crickets in Thailand to going on safari in Africa to swimming with thousands of Jellyfish in Palau, Annette has traveled to over 40 countries, 5 continents and countless cities to find the hottest bucket list worthy experiences around the world
Jelly fish lake
Drinking tea at Japan
Northan Thailand
Rome
Rice terraces Indonesia
Africa
People travel to see new places and discover new things. But for traveler and lifestyle blogger Annette White, it’s also important to for her to learn more about herself.
Annette web site(blog)is very detail oriented. Each of her post has a picture , including a brief summary of whats her post going to be about. I love how Annette chose here style page for her blog. White background, and pink header for each post; fonts were also readable.


Board Meetings: {{page.title}}
All Board Meetings are on Tuesday and begin at 6:30 p.m. unless otherwise noted
{% if page.body %}
{{page.body|safe}}
{% if board_meeting_years %}
{% else %}
{% endif %}
{% if board_meetings %}
| Date | Location | Meeting Type | Agenda | Minutes | Audio | Video |
|---|
There are not any scheduled meetings for this year yet. Please select a different year above and check back soon.
{% endif %}


Defending your dinosaurs from universal forces never seemed so educational.
Putting together IoT, gcc, backyard poultry, and community.
A WebHosting Cooperative Foundation community initiative.
You can join our mailing list and stay up-to-date on the BokBot!
To join please provide your email below and hit subscribe!
We will never share your email address; It's bad chicken karma.


{{cookiecutter.repository_description}}
This website is a personal web site and not an official publication of any organisation. The opinions expressed and the information presented on this website are mine and mine alone.
The information contained in this website is for general information purposes only. The information is provided by the Sebastian Schmeier and while I endeavor to keep the information up to date and correct, I make no representations or warranties of any kind, express or implied, about the completeness, accuracy, reliability, suitability or availability with respect to the website or the information, products, services, or related graphics contained on the website for any purpose. Any reliance you place on such information is therefore strictly at your own risk.
In no event will I be liable for any loss or damage including without limitation, indirect or consequential loss or damage, or any loss or damage whatsoever arising from loss of data or profits arising out of, or in connection with, the use of this website.
Through this website you are able to link to other websites which are not under my control. I have no control over the nature, content and availability of those sites. The inclusion of any links does not necessarily imply a recommendation or endorse the views expressed within them.
Every effort is made to keep the website up and running smoothly. However, I take no responsibility for, and will not be liable for, the website being temporarily unavailable due to technical issues beyond our control.


ansible-vault
Encrypts & decrypts values, data structures and files within Ansible projects.
More information: home page
- Create a new encrypted vault file with a prompt for a password:
ansible-vault create vault_file
- Create a new encrypted vault file using a vault key file to encrypt it:
ansible-vault create --vault-password-file=password_file vault_file
- Encrypt an existing file using an optional password file:
ansible-vault encrypt --vault-password-file=password_file vault_file
- Encrypt a string using Ansible's encrypted string format, displaying interactive prompts:
ansible-vault encrypt_string
- View an encrypted file, using a password file to decrypt:
ansible-vault view --vault-password-file=password_file vault_file
- Re-key already encrypted vault file with a new password file:
ansible-vault rekey --vault-password-file=old_password_file --new-vault-password-file=new_password_file vault_file


QUEUE:
Blacks queued to be eaten by White.
ALT + Click to reposition White.
CTRL + Click to restart.
Try to play with parameters
View source


Iteration statements (loops)
Loops repeat a statement a certain number of times, or while a condition is fulfilled. They are introduced by the keywords while
, do
, and for
.
The while loop
The simplest kind of loop is the while-loop. Its syntax is:
while (expression) statement
The while-loop simply repeats
statement
while
expression
is true. If, after any execution of
statement
,
expression
is no longer true, the loop ends, and the program continues right after the loop. For example, let's have a look at a countdown using a while-loop:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
|
// custom countdown using while
#include <iostream>
using namespace std;
int main ()
{
int n = 10;
while (n>0) {
cout << n << ", ";
--n;
}
cout << "liftoff!\n";
}
|
10, 9, 8, 7, 6, 5, 4, 3, 2, 1, liftoff! | |
The first statement in
main
sets
n to a value of 10. This is the first number in the countdown. Then the while-loop begins: if this value fulfills the condition
n>0
(that
n is greater than zero), then the block that follows the condition is executed, and repeated for as long as the condition (
n>0
) remains being true.
The whole process of the previous program can be interpreted according to the following script (beginning in
main
):
n
is assigned a value
- The
while
condition is checked (n>0
). At this point there are two possibilities:
- condition is true: the statement is executed (to step 3)
- condition is false: ignore statement and continue after it (to step 5)
- Execute statement:
cout << n << ", ";
--n;
(prints the value of n
and decreases n
by 1)
- End of block. Return automatically to step 2.
- Continue the program right after the block:
print liftoff!
and end the program.
A thing to consider with while-loops is that the loop should end at some point, and thus the statement shall alter values checked in the condition in some way, so as to force it to become false at some point. Otherwise, the loop will continue looping forever. In this case, the loop includes
--n
, that decreases the value of the variable that is being evaluated in the condition (
n
) by one - this will eventually make the condition (
n>0
) false after a certain number of loop iterations. To be more specific, after 10 iterations,
n
becomes 0, making the condition no longer true, and ending the while-loop.
Note that the complexity of this loop is trivial for a computer, and so the whole countdown is performed instantly, without any practical delay between elements of the count (if interested, see
sleep_for
for a countdown example with delays).
The do-while loop
A very similar loop is the do-while loop, whose syntax is:
do statement while (condition);
It behaves like a while-loop, except that
condition
is evaluated after the execution of
statement
instead of before, guaranteeing at least one execution of
statement
, even if
condition
is never fulfilled. For example, the following example program echoes any text the user introduces until the user enters goodbye:
1 2 3 4 5 6 7 8 9 10 11 12 13 14
|
// echo machine
#include <iostream>
#include <string>
using namespace std;
int main ()
{
string str;
do {
cout << "Enter text: ";
getline (cin,str);
cout << "You entered: " << str << '\n';
} while (str != "goodbye");
}
|
Enter text: hello
You entered: hello
Enter text: who's there?
You entered: who's there?
Enter text: goodbye
You entered: goodbye | |
The do-while loop is usually preferred over a while-loop when the
statement
needs to be executed at least once, such as when the condition that is checked to end of the loop is determined within the loop statement itself. In the previous example, the user input within the block is what will determine if the loop ends. And thus, even if the user wants to end the loop as soon as possible by entering
goodbye, the block in the loop needs to be executed at least once to prompt for input, and the condition can, in fact, only be determined after it is executed.
The for loop
The
for
loop is designed to iterate a number of times. Its syntax is:
for (initialization; condition; increase) statement;
Like the while-loop, this loop repeats
statement
while
condition
is true. But, in addition, the for loop provides specific locations to contain an
initialization
and an
increase
expression, executed before the loop begins the first time, and after each iteration, respectively. Therefore, it is especially useful to use counter variables as
condition
.
It works in the following way:
initialization
is executed. Generally, this declares a counter variable, and sets it to some initial value. This is executed a single time, at the beginning of the loop.
condition
is checked. If it is true, the loop continues; otherwise, the loop ends, and statement
is skipped, going directly to step 5.
statement
is executed. As usual, it can be either a single statement or a block enclosed in curly braces { }
.
increase
is executed, and the loop gets back to step 2.
- the loop ends: execution continues by the next statement after it.
Here is the countdown example using a for loop:
1 2 3 4 5 6 7 8 9 10 11
|
// countdown using a for loop
#include <iostream>
using namespace std;
int main ()
{
for (int n=10; n>0; n--) {
cout << n << ", ";
}
cout << "liftoff!\n";
}
|
10, 9, 8, 7, 6, 5, 4, 3, 2, 1, liftoff! | |
The three fields in a for-loop are optional. They can be left empty, but in all cases the semicolon signs between them are required. For example,
for (;n<10;)
is a loop without
initialization or
increase (equivalent to a while-loop); and
for (;n<10;++n)
is a loop with
increase, but no
initialization (maybe because the variable was already initialized before the loop). A loop with no
condition is equivalent to a loop with
true
as condition (i.e., an infinite loop).
Because each of the fields is executed in a particular time in the life cycle of a loop, it may be useful to execute more than a single expression as any of
initialization,
condition, or
statement. Unfortunately, these are not statements, but rather, simple expressions, and thus cannot be replaced by a block. As expressions, they can, however, make use of the comma operator (
,
): This operator is an expression separator, and can separate multiple expressions where only one is generally expected. For example, using it, it would be possible for a for loop to handle two counter variables, initializing and increasing both:
1 2 3 4
|
for ( n=0, i=100 ; n!=i ; ++n, --i )
{
// whatever here...
}
| |
This loop will execute 50 times if neither
n
or
i
are modified within the loop:
n
starts with a value of 0, and
i
with 100, the condition is
n!=i
(i.e., that
n
is not equal to
i
). Because
n
is increased by one, and
i
decreased by one on each iteration, the loop's condition will become false after the 50th iteration, when both
n
and
i
are equal to 50.
Range-based for loop
The for-loop has another syntax, which is used exclusively with ranges:
for ( declaration : range ) statement;
This kind of for loop iterates over all the elements in
range
, where
declaration
declares some variable able to take the value of an element in this range. Ranges are sequences of elements, including arrays, containers, and any other type supporting the functions
begin and
end; Most of these types have not yet been introduced in this tutorial, but we are already acquainted with at least one kind of range: strings, which are sequences of characters.
An example of range-based for loop using strings:
1 2 3 4 5 6 7 8 9 10 11 12 13 14
|
// range-based for loop
#include <iostream>
#include <string>
using namespace std;
int main ()
{
string str {"Hello!"};
for (char c : str)
{
std::cout << "[" << c << "]";
}
std::cout << '\n';
}
|
[H][e][l][l][o][!] | |
Note how what precedes the colon (
:
) in the for loop is the declaration of a
char
variable (the elements in a string are of type
char
). We then use this variable,
c
, in the statement block to represent the value of each of the elements in the range.
This loop is automatic and does not require the explicit declaration of any counter variable.
Range based loops usually make also use of type deduction for the type of the elements with
auto
. Typically, the range-based loop above can also be written as:
1 2
|
for (auto c : str)
std::cout << "[" << c << "]";
| |
Here, the type of
c
is automatically deduced as the type of the elements in
str
.


$500
TRANSFER
Bitcoin
PayPal
$700
TRANSFER
Bitcoin
PayPal
$1000
TRANSFER
Bitcoin
PayPal
$1250
TRANSFER
Bitcoin
PayPal
$1500
TRANSFER
Bitcoin
PayPal
$2000
TRANSFER
Bitcoin
PayPal
$3000
TRANSFER
Bitcoin
PayPal
$4000
TRANSFER
Bitcoin
PayPal
$5000
TRANSFER
Bitcoin
PayPal
$6000
TRANSFER
Bitcoin
PayPal
$8000
TRANSFER
Bitcoin
PayPal


:: FIN
Nordic combined athlete Samppa Lajunen was age 18 when he won silver medals in the individual and team events at the 1998 Nagano Olympic Winter Games, but much better was to follow four years later.


Akan names are derived from Ghanian culture Frequently in Ghana, children are given their first name as a 'day name' which corresponds to the day in the week they were born.
(((males))) Sunday: Kwasi,,Monday: Kwadwo,,Tuesday: Kwabena,,Wednesday: Kwaku,,Thursday:Yaw ,,Friday: Kofi,,Saturday: Kwame.
///females/// Sunday: Akosua,,Monday: Adwoa,,Tuesday: Abenaa,,Wednesday: Akua,,Thursday: Yaa,, Friday: Afua,,Saturday: Ama.


| MATLAB 文件帮助: cv.getOptimalNewCameraMatrix | 查看 cv.getOptimalNewCameraMatrix 的代码 | Index |
getOptimalNewCameraMatrix Returns the new camera matrix based on the free scaling parameter
cameraMatrix = cv.getOptimalNewCameraMatrix(cameraMatrix, distCoeffs, imageSize)
[cameraMatrix, validPixROI] = cv.getOptimalNewCameraMatrix(...)
[...] = cv.getOptimalNewCameraMatrix(..., 'OptionName', optionValue, ...)
A = [fx 0 cx; 0 fy cy; 0 0 1]
.[k1,k2,p1,p2,k3,k4,k5,k6,s1,s2,s3,s4]
of 4, 5, 8, or 12 elements.
If the vector is empty, the zero distortion coefficients are assumed.[w,h]
.[x,y,w,h]
that outlines
all-good-pixels region in the undistorted image. See roi1
, roi2
description in cv.stereoRectify.[w,h]
. By default, it is
set to imageSize
.Alpha
) to the
corrected image. default false.The function computes and returns the optimal new camera matrix based on
the free scaling parameter. By varying this parameter, you may retrieve
only sensible pixels Alpha=0
, keep all the original image pixels if
there is valuable information in the corners Alpha=1
, or get something
in between. When Alpha>0
, the undistortion result is likely to have some
black pixels corresponding to "virtual" pixels outside of the captured
distorted image. The original camera matrix, distortion coefficients,
the computed new camera matrix, and newImageSize
should be passed to
cv.initUndistortRectifyMap to produce the maps for cv.remap.


UFC 244 fight card primer: Kelvin Gastelum vs. Darren Till
by Harry DaviesIn the co-main event of UFC 244 this weekend, Kelvin Gastelum (15-4 1NC MMA, 9-4 1NC UFC) will pose a tough test for Darren Till (17-2-1 MMA, 6-2-1 UFC) as the Liverpudlian makes his debut at middleweight after moving up from 170-pounds. UFC 244: Masvidal vs. Diaz takes place this Saturday night, November 2nd, at Madison Square Garden in New York. The main card will air on PPV via ESPN+ starting with a fight time of 10:00 p.m. ET / 7:00 p.m. PT, with the ESPN prelims starting at 8:00 p.m. and 6:15 p.m. ET on Fight Pass.
How do these two stack up?
Gastelum: 28 years old | 5’9” | 71.5” reach
Till: 26 years old | 6’0” | 74.5” reach
What have these two done recently?
Gastelum: L - Israel Adesanya (DEC) | W - Jacare Souza (DEC) | W - Michael Bisping (KO)
Till: L - Jorge Masvidal (KO) | L - Tyron Woodley (SUB) | W - Stephen Thompson (DEC)
How did these two get here?
Since making the move up to middleweight from 170-pounds, Gastelum has become one of the dictions top contenders. A submission loss to Chris Weidman was quickly forgotten about when Gastelum won consecutive fights against former champion Michael Bisping and Jacare Souza. Losing out the chance at middleweight gold when Robert Whittaker pulled out of their fight at UFC 234, Gastelum went on to fight Israel Adesanya for the interim title at UFC 236, losing by decision in what could be 2019’s Fight of the Year.
After going six years unbeaten in his MMA career, and winning fights in the UFC against the likes of Donald Cerrone and former welterweight title challenger Stephen Thompson, consecutive losses has meant Till has made the move up to middleweight. Facing a tough challenger in his debut in Gastelum, Till was adamant he didn’t want a step down in competition for his 185-pound debut.
Why should you care?
A must win for Till given his recent losses, Gastelum’s gritty style means he won’t be an easy fight for the Liverpudlian on Saturday night.


Plugin Name: WP Comment Smart Honeypot Plugin URI: https://github.com/freak3dot/wp-smart-honeypot Description: Processes the comment form to stop spam bots. Renames the normal fields on this page. Then, creates a honeypot with one of the names of the original fields. The Honeypot is removed with JavaScript.
Version: 1.0.0 Author: Ryan Johnston Author URI: http://www.newsunflowerchurch.org
| Class | Description |
|---|---|
| wpCommentSmartHoneyPotPlugin | Wordpress Comment Smart Honeypot Plugin. |
Documentation generated on Wed, 26 Aug 2015 22:06:38 +0000 by phpDocumentor 1.4.4


A project can be setup to disable expedition access checks, allowing all project members to upload
to any expedition. To allow expedition access to all project members, the project administrator
may do the following:
- Visit "Project Settings" under Workbench
- Uncheck the "Enforce Expedition Access Control" checkbox
Having multiple members in one expedition is a feature that will be implemented in the future.


| static | LogFileWriter() |
| private | LogFileWriter() |
| public void | Exit() |
| private void | Flush() |
| public static nothrow LogFileWriter& | Instance() |
| public void | Write(const String<char>& msg) |
| private bool | exit |
| private ConditionVariable | exiting |
| private Thread | flusherThread |
| private static UniquePtr<LogFileWriter> | instance |
| private RecursiveMutex | mtx |
| private StreamWriter | writer |