| Game | ( | ) |
| ~Game | ( | ) |
| Draw | ( | SDL_Renderer * | renderer | ) |
| renderer |
| Initialize | ( | ) |
| return |
| OnKeyDown | ( | SDL_KeyboardEvent const & | kbe | ) |
| kbe |
| OnKeyUp | ( | SDL_KeyboardEvent const & | kbe | ) |
| kbe |
| OnMouseDown | ( | SDL_MouseButtonEvent const & | mbe | ) |
| mbe |
| OnMouseMotion | ( | SDL_MouseMotionEvent const & | mme | ) |
| mme |
| OnMouseUp | ( | SDL_MouseButtonEvent const & | mbe | ) |
| mbe |
| OnWindowResized | ( | int | w, | |
| int | h | ) |
| w | |
| h |
| Reset | ( | ) |
| Shutdown | ( | ) |
| Update | ( | float | dt | ) |
Update every frame of the game(including refresh enemy, player, missle, and explosion)
| dt |
no ideal what is that |
| WorldBottom | ( | ) |
| return |
| WorldLeft | ( | ) |
| return |
| WorldRight | ( | ) |
| return |
| WorldTop | ( | ) |
| return |


I welcome you all old and new followers! I decided, that now I need a new challenge! So I will focus my time on Rhino and Grasshopper. I am now doing these two programs to see how much power they have and what I can accomplish with them... Also I thought that it would be an exciting journey to try something totally different and new, as I still will be continuing my JavaScript course. The course I am taking is The Complete JavaScript Course! I think it is quite interesting to compare Python and JavaScript, to see how similar ,yet diffrent they are from each other. Up until now it was an amazing journey and I can't wait to learn the rest. Down below is the certificate I got for the Python 3 course on Sololearn! It was an bumpy road to success but I still think that Python is an amazing program. I would definitely recommend Python as the first program to learn since it is very easy and basic, but you can still do a lot with it. I am supporting the Ladybug Tools Spider team. Since, I finished the latest introduction video to the gbXML viewer "Maevia". The link below will take you to the video. Please watch and comment :) I did a violin workshop at the BCS kindergarten with 5 year-olds. It was an amazing experience for me and I think they had a great time too! I found some violins while I was upstairs taking the drums back. I took three but two of them were broken so I just left them behind and made a violin lesson with each of the children. It taught me a great deal of patience, as they were very chaotic. Most likely, I will not become a teacher...
Michalina Dengusiak
Here is the demo of my hangman program Here is the demo of my first working turtle experiment This is my JavaScript journey This is my introduction video to the gbXML viewer R-12 This is the latest introduction video to the the gbXML viewer "Maevia"


Contains the Abstract Syntax Tree nodes that represent the structure of Mini-Eiffel program in memory. Produced by a Parser, decorated by the semantic analyzer and further processed by the code generator.


Start
Docs
Edit App
Package App
DeskShell Packager
This application will create a cross platform .appfs package from your application.
Introduction
Package App


There are two moments that I was stuck. The first moment was when I tried to redesign my site. That moment I was struggling with how to have a good layers of 'div'. However, finally after searching an hour for an answer on the internet I found the solution was only because I was not patient enough to wait for my site to change and I already did the right code!. the second was when I was doing my Javascript assignment, I forgot to use space and it made me stuck for half an hour!. Therefore, what I did learn is to be patient and also become more attentive to details as coding in HTML, CSS and Javascript requires both of it
pseudocode: I am generally confident in using this as this is helpful to be used for DOM
trying something: I am mostly confident doing trial and error as it is part of the learning
rubber ducky method: honestly, I haven't tried this one but from what I read in google I think it is pretty interesting
reading error message: I don't whether it is as useful as the other. But at least I know something is wrong with the code
console.log: well console log is useful when testing whether the code that I write is right or wrong
Googling: I am the most comfortable using this as I like to google every example. Especially when doing Javascript
Asking peers: I usually asking Priya if I stuck on something. But I still have to learn everything by myself first before asking question to other people
Asking teacher: Harrison is the person who I often asked if I get really really stuck
Reflection: I have managed everything well I guess for the last two weeks as I can catch up and try one sprint one week
.map() function is when you want to change you array you can use this function and makes it separate. filter function is to look a specific criteria. whereas reduce function is reduce array element into one value


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--- layout: archive title: Zulip Chat Archive permalink: /stream/116395-maths/topic/topology.20induced.20by.20a.20linear.20order.html ---
@Calle Sönne and I have a linearly ordered ring and want to talk about sequences tending to limits, so we either need the order topology, or the nhds x
filter, consisting of sets which contain open intervals as a subset.
Is this in mathlib?
https://github.com/leanprover-community/mathlib/blob/master/src/topology/algebra/ordered.lean
We had a look at that but doesnt this assume there already is a topology?
There's the orderable topology, I guess.
Just make orderable_topology
and topological_space
variables.
orderable_topology
says the topology is equal, but not necessarily definitionally equal to the generate_from {s | ∃a, s = {b : α | a < b} ∨ s = {b : α | b < a}}
.
Like this:
variables {α : Type*} [linear_ordered_ring α] [floor_ring α] instance : topological_space α := topological_space.generate_from {s | ∃a, s = {b : α | a < b} ∨ s = {b : α | b < a}} instance : orderable_topology α := ⟨rfl⟩
?
Like this
variables {α : Type*} [linear_ordered_ring α] [floor_ring α] [topological_space α] [orderable_topology α]
Oh penny drops
Otherwise your theorems won't apply to the reals.
I guess that's probably enough to deduce topological_ring
don't get us started on topological rings
Johan and I have been thinking about them all week
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Ti.GCP Module
Provides access to Google Cloud Print.
Methods
void open(args)
Opens a print dialog with the provided arguments. This dialog lets the user authenticate and print a document.
Takes a dictionary with the following arguments:
- string title [optional]: The title for the document. Defaults to "New Print Job".
- string type [optional]: The type of the data you will provide. Defaults to "url". Best supports "url" and "application/pdf", but you can also try "image/jpg" and "image/png".
- string data: The data for the document to be printed. If you specified "url" for the "type" property, this should be set to a URL accessible from the internet. If you specified another type, then this should be a base64 encoded string. Check out the example to see how to base64 encode a PDF.
- string encoding [optional]: If specified, this must be 'base64'. Otherwise, do not provide this property. (Hint: "url" type data should not specify this property!)
- string closeTitle [optional]: The title to display on the close button at the bottom of the view. Defaults to "Return to App".
void close()
Closes any open dialog.
Author
Dawson Toth
License
Copyright(c) 2011-2012 by Appcelerator, Inc. All Rights Reserved. Please see the LICENSE file included in the distribution for further details.


Genesis 23:7
And Abraham stood up, and bowed himself to the people of the land, even to the children of Heth.


Tottenham attempt for midfielder ‘could happen early as January’ – Mourinho ‘opens the door’
by Sport Witness TeamJose Mourinho taking over at Tottenham Hotspur has given the Portuguese media an opportunity to go crazy again on a Bruno Fernandes transfer.
Friday’s edition of A Bola has Jose Mourinho and the Sporting midfielder splashed across the front page, with it stating ‘Mourinho opens the door for Bruno’.
Inside it’s reported the player’s signing ‘gains strength’ at Tottenham, and an attempt for the player ‘could happen as early as January’.
Mourinho is said to ‘greatly appreciate’ the midfielder, and it’s stated Spurs were the only club to make a concrete attempt during the summer. Therefore, the ‘perfect storm’ is now in place at the London club.
Towards the end of the summer window, Jorge Mendes was called in to assist Miguel Pinho, Bruno’s agent, with building a deal. It was all too late, yet Mendes and Mourinho are as close as an agent and manager can be, so that adds to the scenario and excitement for the Portuguese media.
Sporting are said to want €70m, yet A Bola said they’d probably accept €60m due to the club’s difficult financial situation. Tottenham had offered a €65m package in the summer, however, €20m of that was dependent on the club winning the Premier League and
Champions League.
It’s known Tottenham made that offer, Sporting’s president has spoken about it publicly. Spurs either moved because Mauricio Pochettino wanted the player, or because Daniel Levy decided he could be an alternative to Giovani Lo Celso, and which of those scenarios was true, and what happens to the, technically still owned by Real Betis, Argentine could be key.
So far, this is all based on circumstantial evidence.


Gender imbalance in General Election media coverage as women ‘marginalised’
Academics at Loughborough University note ‘gender inequality across all coverage.’
Women are featuring in just a fifth of national press coverage of the General Election campaign, according to research.
Academics at Loughborough University noted “gender inequality across all coverage” from November 7 to November 13.
The research found that when considering all participants in election news coverage – including citizens, business people, experts and public professionals – women’s voices accounted for just a third of all quotation in TV news and a fifth of quotation in the national press.
On television, women’s voices made up 32.9% of the share, while men had 67.1%.
Overall, women featured in 21.4% of the coverage, while men were much more prominent on 78.6%, according to Loughborough University’s Centre for Research in Communication & Culture.
The researchers said: “The data show that female actors are marginalised in cumulative terms in comparison with their male counterparts during the election campaign so far.”
This gap is despite women leading a number of political parties.
In Northern Ireland, the DUP is led by Arlene Foster, and Naomi Long is the leader of the Alliance Party.
Mary Lou McDonald is president of Sinn Fein, while Michelle O’Neill is vice president.
The data comes from the first in a series of weekly reports from the university on UK wide television and print media reporting of the 2019 UK General Election.


Chapter 3 What, why and how of visualisation
A picture paints a thousand words - Frederick R. Barnard
Data visualisation is an old topic; but in the last few years, it’s become particularly trendy. With the correct visualisation, we can highlight key features that don’t require any fancy statistics.
Prerequisites
We could have an entire course on creating graphics, but in this chapter we’ll concentrate on the fundamentals. To make this section concrete, we’ll use the ggplot2 package within R. However, there are many libraries available to generate the graphics in other languages. For example, in Javascript we could use d3
, or seaborn
in python.
The ggplot2 and hrbrthemes packages can be easily installed via
install.packages(c("ggplot2", "hrbrthemes"))
and loaded in the usual way, e.g.
library("ggplot2")
library("hrbrthemes")
3.1 Historical visualisations
John Snow4 created a simple dot map to illustrate the cluster of cholera cases around a water pump - figure 3.1. This allowed him to show the connection between the quality of the water source and cholera cases. He was able to demonstrate that the Southwark and Vauxhall Waterworks Company was taking water from sewage-polluted sections of the Thames and delivering the water to home. Thereby leading to an increased incidence of cholera. This study is a major event in the history of public health and geography. It is regarded as the founding event of the science of epidemiology.
The Hereford Mappa Mundi dates from around 1300 - figure 3.2. It is currently on display at Hereford Cathedral in Hereford, England. It is the largest medieval map known still to exist. At the centre of the map is Jerusalem, in the bottom left is the UK, at the top is the garden of Eden (some of the data points are approximate!)
Florence Nightingale is described as “a true pioneer in the graphical representation of statistics”. Her diagram about the causes of mortality in the army (figure 3.3), was ground breaking. Florence’s graph showed that sanitation was a major killer in the army. After successfully lobbying the government, the mortality rate dropped from 69 to 18 per 1000.
Visualisation is incredibly important. Whenever I get a data set, I automatically start generating plots to get a feel for the data. It helps us to detect interesting patterns in the data; remember plotting can save lives (if you’re Florence Nightingale).
3.2 Scatter plots
A scatter plot has horizontal and vertical axes to plot data points. Typically they are used to show how one variables is affected by another. Let’s start with a simple scatter plot of looking at whether the Bond movies have become more violent over time. In ggplot, we first specify a canvas and then add subsequent layers using the +
operator
ggplot(bond, aes(x = Number, y = Kills)) + # Create a canvas
geom_point() # Add a layer of points
On the \(x\)-axis we have the movie number (chronological movie order) and on the \(y\)-axis we have the number of kills made by Bond. The scatter plot does show a general trend, with an increased number of deaths in latter movies.
Figure 3.4 is OK, but could be significantly improved.
There’s a lot going on in the code used to generate the figure. The first argument is the data frame bond
, while aes
argument specifies what elements in the plot should change with a variable.
First we’ll use colour to differentiate between actors and fix the axis limits
g = ggplot(bond, aes(x = Number, y = Kills)) + # Create a canvas
geom_point(aes(colour = Actor)) + # Add a layer of points
ylim(c(0, 50))
g # With ggplot we can store the graph construct
By using colour, we can see that Pierce was a particularly violent Bond, with the green points in the top right hand corner.
Next we can add a trend line to get a feel for the relationship over time. The stat_smooth()
layer adds a local trend line. Essentially, the line moves along the \(x\)-axis and the gradient is only affected by nearby points.
g_smooth = g + stat_smooth(colour = "steelblue", se = FALSE, method = "loess")
g_smooth
This graph now contains some useful insight.
- The number of kills appears to be increasing with each bond movie.
- Pierce Brosnan (the green points) liked killing people.
- Daniel Craig’s movies didn’t contain (that) many deaths.
3.2.1 Styling your plot
If the graph is only going to be consumed by the data scientist, then there is no need to spend time polishing the final product. However if the graph is to be used to convince or highlight issues for other people, then some time and effort needs to be spent.
ggplot2 has the concept of themes that can style the plot. Here we use the hrbrthemes package. It provides
typography-centric themes and theme components for ggplot2
Basically, it’s opinionated. The package enables us to change the background colour, tweak the palette and add proper labels, with minimal effort
library(hrbrthemes)
g_smooth +
theme_ipsum() +
scale_color_ipsum() +
labs(x = "Movie number",
y = "No. of Bond Kills",
title = "Kills through time",
subtitle = "Is there a relationship?",
caption = "Pierce wasn't a nice man!")
With little effort, we’ve gone from something basic - figure 3.4 - to a high quality, publication ready figure, 3.7. Unfortunately, we have limited time to spend on graph aesthetics.
Exercise / Q & A
- Does alcohol consumption change through time?
- Does there appear to a relationship between alcohol and the number of kills?
- Change method from
smooth
tolm
.
3.3 Histograms
A histogram is a graphical representation of the distribution of continuous, numerical data. If the area under the graph adds up to one, then it is a probability distribution. Constructing a histogram is straightforward; we divide the entire range into a series of intervals and count how many values fall into each interval. Bins do not have to be the same size (but they probably should be in general).
We’ll start with a histogram of users ages from the OKCupid dataset. To create a histogram, we use the geom_histogram()
function
ggplot(cupid, aes(x = age)) +
geom_histogram(binwidth = 1)
This creates the left plot in figure 3.8.
Notice in the code we’ve specified binwidth = 1
. This means that the binwidth is equal 1 year. The default (in ggplot2) is to create a plot using 30 bins, it’s always a good idea to explore the effect of varying the binwidth. In particular, if you look carefully at the plot where the binwidth = 1
, we can see a spike at age = 42
. Another interesting feature is the long tail - this is an example of a right skewed or positively skewed data set.
Often we want to split a plot up by different variables, for example, the users gender
. This is easy with ggplot2; we just add on an additional call to facet_wrap()
ggplot(cupid, aes(x = age)) +
geom_histogram(binwidth = 1) +
facet_wrap(~ sex) +
coord_cartesian(xlim = c(18, 80))
By splitting age by gender, two interesting features become apparent from figure 3.9
- There are many more male OK Cupid users than female (not surprising).
- The general age distribution looks similar between sexes.
- The most surprising aspect is that the spike in age 42 is due to female users. This could be by pure chance, users lying about their age, or a mistake in data entry.
3.4 Density plots
A downside of using a histogram, is that putting two histograms on top of each other makes the graphic cluttered and unclear (of course you can use panels as above). An alternative method is to use a kernel density estimator. Essentially we draw a line around the histogram.
ggplot(cupid, aes(x = age)) +
geom_density(aes(colour = sex)) +
xlim(c(18, 80))
Since the distributions are represented as lines, we can plot multiple distributions on top of each other. By plotting in this way, it becomes obvious the distributions of each gender are similar. However, we have smoothed over the bump at age 42.
3.4.1 Detailed explanation
This section aims to give gentle introduction to how kernel density plots are actually constructed. Behind the scenes, there’s some nice mathematical theory the underpins this graph. However, we’ll avoid the maths and concentrate on the intuition.
Suppose we have three points: (-2, -1, 2). These points are shown in figure 3.11 (a) as blue crosses. Around each point we draw a kernel - figure 3.11 (b). The kernel can be any non-negative (but typically symmetric) function that integrates to one. For example, it could be a
- rectangle;
- triangle;
- Gaussian (or Normal) density;
- Epanechnikov function.
In this example, we’ll use the most common kernel, a Gaussian or bell shaped curve. Next we combine the kernels around each point into a single common curve (figure 3.11 c). Finally, we normalise the area under the kernel to be \(1\).
The tricky mathematical part deals with what kernel we should use and how wide that kernel should be. A wide kernel has the effect of flattening out our histogram shape, similar to having fewer bins. A narrow kernel has the opposite effect. Intuitively, when we have many points, the kernel should be narrower.
3.5 Boxplots
A box and whisker plot, sometimes simply called a boxplot, is another way to represent continuous data. This kind of plot is particularly useful for comparing two or more groups, by placing the boxplots side-by side.
The central bar in the “box” is the sample median. The top and bottom of the box represent the upper and lower sample quartiles. Just as the median represents the 50% point of the data, the lower and upper quartiles represent the 25% and 75% points respectively.
local(source("code/f3_boxplot.R"))
The lower whisker is drawn from the lower end of the box to the smallest value that is no smaller than 1.5IQR below the lower quartile. Similarly, the upper whisker is drawn from the middle of the upper end of the box to the largest value that is no larger than 1.5IQR above the upper quantile. Points outside the whiskers are classified as outliers.
If we wanted to compared how age varies by income level5 then a boxplot is perfect
# Missing values are represented with a -1
ggplot(cupid, aes(x = income, y = age)) +
geom_boxplot()
The figure highlights a gradual increase of income with age. However, for extreme incomes it drops. I suspect this pattern is particular to San Francisco!
3.6 Barplots
A bar chart or bar graph is a chart that presents grouped data with rectangular bars with lengths proportional to the values that they represent. The bars can be plotted vertically or horizontally.
Let’s look again at the bond dataset. To determine the number movies by each star we use geom_bar()
ggplot(bond) +
geom_bar(aes(x = Actor))
Typically ordering the axis alphabetically isn’t best. In this case, we could order the either by the number of movies, or by the date the actor first appeared. Again with a few minor tweaks we can go from a plot that is OK, to a plot that is informative and attractive.


Copyright (c) 2010, EUROCONTROL & FAA
=====================================
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
* Neither the names of EUROCONTROL or FAA nor the names of their contributors may be used to endorse or promote products derived from this specification without specific prior written permission.
 IN NO EVENT SHALL THE COPYRIGHT OWNER OR
CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
==========================================
Editorial note: this license is an instance of the BSD license template as
provided by the Open Source Initiative:
http://www.opensource.org/licenses/bsd-license.php


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Tell us when you need your reminders and let us do the work for you. Whether you need 1 or 100 reminders a day, we can help.
Add your own reminder message, or you could ask a family member to record one for you. You can also write a custom text message if that's what you'd prefer.
Keep track of your reminders and if they are acknowledged, so you can easily see how medication is being taken.
Even remembering to take one pill in the morning can be difficult, but add in another pill three times a day and another one at bedtime and things soon get very complicated.
If you need to use a particular mouthwash, apply a cream, replace a patch or use anything that isn't a tablet then classic pill-helper boxes can't help.
All you need in order to use Take Your Meds is a phone number, whether a landline or a mobile. You can receive phonecalls or text messages as you prefer.


{% extends 'base.html' %} {% load static %} {% block content %}
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Pamphlet, Duckpond The Immense, Serialisation of, Episode twelve of twenty-six
The tins of soup were stored in a plethora of larders dotted throughout the House. Although the location of each larder seemed random—two adjacent here, another just down the corridor and around the corner, one tiny, solitary larder in the west wing—in fact they were distributed according to a system so stupendous and abstruse that only Mrs Purgative understood it. Blodgett claimed to, and no one was confident enough of their own knowledge to challenge him.
Aminadab, having arrived at the House only hours before, was unaware that there was even a system in the first place. All he knew for certain was that he was slumped, queasy with exhaustion, on the floor of a larder stacked floor to ceiling with soup tins marked “Number Three”. He had given up the quest for Euwige. Half his luggage had been abandoned somewhere back in an ill-lit corridor which stank of porridge, though there was no porridge to be found in it. He still had the other half of his belongings with him, and was rummaging frantically in one of his satchels for the bag of gob-stoppers he had packed at the start of his journey, three weeks ago.
As his trembling fingers lit at last upon the crumpled bag, he heard footsteps approaching. Lurching to his feet, he threw open the door of the larder in desperation. Had Euwige come to rescue him?


Test class for Invoice.
Generated by PHPUnit on 2012-07-15 at 12:56:35.
Methods
setUpBeforeClass()
setUpBeforeClass()
testToXmlCurrentSession()
testToXmlCurrentSession()
testToXmlEstimate()
testToXmlEstimate()
testToXmlIncomingInvoice()
testToXmlIncomingInvoice()
testToXmlInvoice()
testToXmlInvoice()
testToXmlProduct()
testToXmlProduct()
testToXmlRecurringTemplate()
testToXmlRecurringTemplate()
testToXmlTaxRate()
testToXmlTaxRate()
Sets up the fixture, for example, opens a network connection.
setUp()
This method is called before a test is executed.
Tears down the fixture, for example, closes a network connection.
tearDown()
This method is called after a test is executed.
Properties
$taxRateIdPurchase
$taxRateIdPurchase


Core Reflection
Reflection
What are three new things you have learned about yourself and your ego as a result of the core learning?
I discovered more about my personality type and the areas I need to be concious about particularly when working in group environments such as to avoid coming across as or being reserved. Also I need to be careful with my communication style and be concious of others' emotions/feelings (as Virtuosos can tend to have a blunt way of communicating since they deal with logic and facts).
What are the role of values, empathy and self awareness in learning and programming?
Empathy is important for developing strong relationships and group cohesion. It allows us to connect with and work at a deeper level with our customers and colleagues. By understanding and respecting their needs and emotions, it will lead to a more happier and productive workplace and produce better results. Empathy also enables us to better deal with conflicts and disagreements.
Self awareness allows us to reflect on how we learn best and therefore we can adjust our learning styles and environment in a way that suits us best. It also allows us to identify our areas of weakness, or when we are felling frustrated and therefore we will be able to take steps to rectify these situations before they become a problem.
What has surprised you the most about core learning?
Coming from a background as a Pilot, alot of these concepts are familiar as I have spent a lot of time learning about Human Factors and Performance. It is interesting to note many of the soft-skills required to be a pilot equally apply to the Web Development and Programming industry.
What were the most challenging aspects of the core learning?
Self-reflection has been the most challenging aspect as I often find it hard to write about myself or my thoughts. Also writing blogs/creative writing is not my forte.
Why do you think we are spending so much time focusing on core learning in a web development bootccamp course?
Because soft skills are cruicial to being a well rounded programmer and employers are placing increasing value on soft skills, just as much as, if not more than technical skills. They are probably also the hardest to develop and requires a lot of self reflection which we typically do not do much of.
Does the time you spent studying core learning here feel like a waste of time? Should you have just used that time to practice programming instead?
No. I think one of the greatest benefit from this program comes from the huge focus on core learning and soft skills. If I just wanted to learn programming there would be plenty of free online resources to do so. But the greatest value in this course will come from the soft skills development. The core learning during foundations has been very insightful and useful.


- Cost of Living
- France
- France
- Paris
- Paris
- Comparison
Cost of living in Paris, France compared to Paris, France
Currency:
| Food | ||||
|---|---|---|---|---|
| Food in Paris (France) is in Paris (France) | ||||
| Basic lunchtime menu (including a drink) in the business district | €8 | €8 | ||
| Combo meal in fast food restaurant (Big Mac Meal or similar) | €5.50 | €5.50 | ||
| 500 gr (1 lb.) of boneless chicken breast | €6 | €6 | ||
| 1 liter (1 qt.) of whole fat milk | €0.83 | €0.83 | ||
| 12 eggs, large | €4.11 | €4.11 | ||
| 1 kg (2 lb.) of tomatoes | €3.30 | €3.30 | ||
| 500 gr (16 oz.) of local cheese | €3.80 | €3.80 | ||
| 1 kg (2 lb.) of apples | €2.93 | €2.93 | ||
| 1 kg (2 lb.) of potatoes | €1.64 | €1.64 | ||
| 0.5 l (16 oz) domestic beer in the supermarket | €0.60 | €0.60 | ||
| 1 bottle of red table wine, good quality | €9 | €9 | ||
| 2 liters of Coca-Cola | €2.03 | €2.03 | ||
| Bread for 2 people for 1 day | €3.40 | €3.40 | ||
| Housing | ||||
| Housing in Paris (France) is in Paris (France) | ||||
| Monthly rent for 85 m2 (900 Sqft) furnished accommodation in EXPENSIVE area | €1,450 | €1,450 | ||
| Monthly rent for 85 m2 (900 Sqft) furnished accommodation in NORMAL area | €2,104 | €2,104 | ||
| Utilities 1 month (heating, electricity, gas ...) for 2 people in 85m2 flat | €158 | €158 | ||
| Monthly rent for a 45 m2 (480 Sqft) furnished studio in EXPENSIVE area | €1,545 | €1,545 | ||
| Monthly rent for a 45 m2 (480 Sqft) furnished studio in NORMAL area | €1,149 | €1,149 | ||
| Utilities 1 month (heating, electricity, gas ...) for 1 person in 45 m2 (480 Sqft) studio | €82 | €82 | ||
| Internet 8 Mbps (1 month) | €30 | €30 | ||
| 40” flat screen TV | €452 | €452 | ||
| Microwave 800/900 Watt (Bosch, Panasonic, LG, Sharp, or equivalent brands) | €150 | €150 | ||
| Laundry detergent (3 l. ~ 100 oz.) | €9 | €9 | ||
| Hourly rate for cleaning help | €14 | €14 | ||
| Clothes | ||||
| Clothes in Paris (France) is in Paris (France) | ||||
| 1 pair of jeans (Levis 501 or similar) | €95 | €95 | ||
| 1 summer dress in a High Street Store (Zara, H&M or similar retailers) | €40 | €40 | ||
| 1 pair of sport shoes (Nike, Adidas, or equivalent brands) | €99 | €99 | ||
| 1 pair of men’s leather business shoes | €136 | €136 | ||
| Transportation | ||||
| Transportation in Paris (France) is in Paris (France) | ||||
| Volkswagen Golf 1.4 TSI 150 CV (or equivalent), with no extras, new | €24,304 | €24,304 | ||
| 1 liter (1/4 gallon) of gas | €1.16 | €1.16 | ||
| Monthly ticket public transport | €62 | €62 | ||
| Taxi trip on a business day, basic tariff, 8 km. (5 miles) | €13 | €13 | ||
| Personal Care | ||||
| Personal Care in Paris (France) is in Paris (France) | ||||
| Cold medicine for 6 days (Tylenol, Frenadol, Coldrex, or equivalent brands) | €4.42 | €4.42 | ||
| 1 box of antibiotics (12 doses) | €5.92 | €5.92 | ||
| Short visit to private Doctor (15 minutes) | €25 | €25 | ||
| 1 box of 32 tampons (Tampax, OB, ...) | €3.66 | €3.66 | ||
| Deodorant, roll-on (50ml ~ 1.5 oz.) | €4.20 | €4.20 | ||
| Hair shampoo 2-in-1 (400 ml ~ 12 oz.) | €4.54 | €4.54 | ||
| 4 rolls of toilet paper | €2.27 | €2.27 | ||
| Tube of toothpaste | €2.56 | €2.56 | ||
| Standard men's haircut in expat area of the city | €26 | €26 | ||
| Entertainment | ||||
| Entertainment in Paris (France) is in Paris (France) | ||||
| Basic dinner out for two in neighborhood pub | €44 | €44 | ||
| 2 tickets to the movies | €21 | €21 | ||
| 2 tickets to the theater (best available seats) | €69 | €69 | ||
| Dinner for two at an Italian restaurant in the expat area including appetisers, main course, wine and dessert | €74 | €74 | ||
| 1 cocktail drink in downtown club | €12 | €12 | ||
| Cappuccino in expat area of the city | €4.64 | €4.64 | ||
| 1 beer in neighbourhood pub (500ml or 1pt.) | €4.50 | €4.50 | ||
| iPod nano 16GB | €168 | €168 | ||
| 1 min. of prepaid mobile tariff (no discounts or plans) | €0.15 | €0.15 | ||
| 1 month of gym membership in business district | €71 | €71 | ||
| 1 package of Marlboro cigarettes | €5.37 | €5.37 | ||
| TOTAL |
These prices were last updated on April 10, 2017.
This comparison is based on abundant and consistent data. It is based on 5,094 prices entered by 1,066 different people.
Do you live in Paris? We need your help!
What do you think about this comparison?
Recent Comparisons
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- Cost of living in Toronto is 24% cheaper than in London
- Cost of living in London is 14% cheaper than in New York
- Cost of living in Sydney is 5% cheaper than in London
Cost of Living and Prices in Similar Cities
Cost of living in Paris (France) is about the same as in Paris (France)
Recent Prices Added
- Monthly rent - 85 m2 furnished accommodation in expensive area in Rio de Janeiro costs R$ 3,000 (15 minutes ago)
- Internet connection 300 mbps, 1 month in Coimbra costs €20 (38 minutes ago)
- Monthly rent - 85 m2 furnished accommodation in expensive area in Belo Horizonte costs R$ 2,500 (about 1 hour ago)
- Internet connection 300 mbps, 1 month in Dublin costs €35 (about 1 hour ago)
- Public transport in İzmir costs 156TL (about 1 hour ago)
- Internet connection 300 mbps, 1 month in Mumbai costs ₨100 (about 2 hours ago)


HD movies at the smallest file size.
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Popular Movies
Avengers: Endgame
The Dark Knight Rises
Joker
Edge Of Tomorrow
Skyfall
Tenet
Interstellar
The Matrix
The Godfather
Inception
Avatar
Titanic
Gladiator
Se7en
Harry Potter
The Lord Of The Rings
The Hobbit
Pirates
Spider-Man
Iron Man


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object com.innowhere.jnieasy.core.JNIEasy
public abstract class JNIEasy
JNIEasy
is the core class of the framework and the starting point
to get the different managers of the framework.
JNIEasy class is abstract, the method get()
returns the singleton object of
the internal implementation.
| Constructor Summary | |
|---|---|
protected |
JNIEasy()
|
| Method Summary | |
|---|---|
static JNIEasy |
get()
Returns the singleton object of the internal implementation. |
abstract DLLManager |
getDLLManager()
Returns the utility object to manage dynamic link libraries. |
abstract NativeEnhancer |
getEnhancer()
Returns the utility object to enhance classes. |
static java.lang.Object |
getFeature(java.lang.String name)
Returns the feature value of the specified feature name. |
abstract NativeJavaCodeGenerator |
getJavaCodeGenerator()
Returns the utility object to generate the code of native classes. |
abstract JNIEasyLibrary |
getJNIEasyLib()
Returns the utility object to manage the JNIEasy dynamic link library. |
abstract LockedRegistry |
getLockedRegistry()
Returns the utility object to manage the locks of native objects. |
abstract NativeCapableFactory |
getNativeCapableFactory()
Returns the utility object to create native objects. |
abstract NativeManager |
getNativeManager()
Returns the utility object to control the native lifecycle of native capable objects. |
abstract NativeSignatureManager |
getSignatureManager()
Returns the utility object to declare native signatures of methods. |
abstract NativeTypeManager |
getTypeManager()
Returns the utility object to declare native types. |
abstract NativeVarTypeManager |
getVarTypeManager()
Returns the utility object to declare native variable types. |
abstract int[] |
getVersion()
Returns the current version of the framework using an array of 4 integers: element with index 0 is the main version and following elements (1,2,3) are minor versions. |
static boolean |
hasFeature(java.lang.String name)
Informs whether the specified feature was defined. |
abstract boolean |
isLoaded()
Returns true if the framework is loaded. |
abstract void |
load()
Loads the framework. |
static void |
setFeature(java.lang.String name,
java.lang.Object value)
Defines the feature name and value. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
protected JNIEasy()
| Method Detail |
|---|
public static JNIEasy get()
public static boolean hasFeature(java.lang.String name)
name
- feature name to look for
public static java.lang.Object getFeature(java.lang.String name)
name
- feature name to look for
public static void setFeature(java.lang.String name, java.lang.Object value)
Current implementation only recognizes:
"jnieasy.license.dir"
:
This feature registers the specified directory path where JNIEasy will try to load the license file
(JNIEasy.lic) and overwrites any other form of specifying this property.
"java.library.path"
:
Tell JNIEasy to ignore System.getProperty("java.library.path") to get the
paths used to search and load native libraries on runtime.
This property is used only by JNIEasy and doesn't change the system property.
Use the same format used to define the -Djava.library.path
property on command line
(File.pathSeparator
may be useful).
name
- feature name to registervalue
- feature value to registerpublic abstract int[] getVersion()
public abstract void load()
public abstract boolean isLoaded()
true
if the framework is loaded.
load()
public abstract NativeTypeManager getTypeManager()
NativeTypeManager
object.NativeTypeManager
public abstract NativeVarTypeManager getVarTypeManager()
NativeVarTypeManager
object.public abstract NativeSignatureManager getSignatureManager()
NativeSignatureManager
object.public abstract NativeCapableFactory getNativeCapableFactory()
NativeCapableFactory
object.public abstract NativeManager getNativeManager()
NativeManager
object.public abstract DLLManager getDLLManager()
DLLManager
object.public abstract JNIEasyLibrary getJNIEasyLib()
JNIEasyLibrary
object.public abstract NativeEnhancer getEnhancer()
NativeEnhancer
object.public abstract NativeJavaCodeGenerator getJavaCodeGenerator()
NativeJavaCodeGenerator
object.public abstract LockedRegistry getLockedRegistry()
LockedRegistry
object.
|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


{% extends "base.html" %} {% block title %}Search Shows by Multiple Panelists | Show{% endblock %} {% block head %} {{ super ()}} {% endblock head %} {% block breadcrumb %}
{% endblock breadcrumb %} {% block synopsis %}This page is used to search shows in which the panel includes one to three of the selected panelists below. Best Of or Repeat shows can be included if the respective checkboxes are checked.
Best Of and Repeat shows will be listed if either of the checkboxes are checked.
{% endblock synopsis %} {% block content %} {% if request.method == "POST" %}| Date | Best Of/Repeat | Location | Host | Scorekeeper | Panelists | Guest | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| {{ show.date }} | {% if show.best_of and show.repeat %}Best Of / Repeat | {% elif show.best_of and not show.repeat %}Best Of | {% elif show.repeat and not show.best_of %}Repeat | {% else %}{% endif %} {% if show.location.venue and show.location.city and show.location.city %} | {{ show.location.venue }} ({{ show.location.city }}, {{ show.location.state }}) | {% elif show.location.venue and (not show.location.city or not show.location.state) %}{{ show.location.venue }} | {% elif show.location.city %}{{ show.location.city }} | {% else %}{% endif %} | {{ show.host }} | {{ show.scorekeeper }} | {% if show.panelists %}
|
{% else %}
{% endif %} {% if show.guests %} |
|
{% else %}
{% endif %} |
| Date | Best Of/Repeat | Location | Host | Scorekeeper | Panelists | Guest |
Records returned: {{ shows|length }}
{% endif %} {% endif %} {% endblock content %}


Thinking outside of the box!
Abstract Thinking.
16/11/2014
Abstract thinkers are capable of conceptualizing and generalizing, they can understand that each concept can mean multiple things. They can use multiple pieces and ideas to create or find a solution. They can... Think outside the box! They thrive in unstructured and people-oriented environments!
That is... kind of me, but not entirely! I am capable of conceptualizing and generalizing, I understand that concepts can mean multiple things and I can use multiple pieces or ideas to create or find a solution. The final piece is where it goes wrong! I am good in unstructured environments, but I am terrible in people-oriented environments. I never know how to behave until I learn it and get to know the people I'm supposed to be working with.
I like to discuss my point and their points of view before reaching a decision and acting. I try to apply logic to everything, sometimes it works and sometimes it doesn't! I thrive learning with guides and milestones, but I can work alone just as well. I love working with friendly people and people I know on a personal level. On the other hand I despise working with rude people and bossy people, even they are my boss I expect respect! I dislike working in environments with lots of strict rules and I am not good sharing my feelings or focusing on one thing, I am always thinking about other stuff while working (Don't get me wrong though! Work related stuff, like how to solve the next problems while still typing the solution to the current one).
I think my learning and thinking style will fit DBC because they all look like friendly people and they don't seem to have lots of strict rules, they have expectations, that's way different and I can work with that!
Regarding mindset, I am always changing it depending on the situation. I always try to have a positive attitude and growth mindset, but when the work is overbearing and I can't find a solution for a long time I usually crawl into a ball and think I will never be able to do it if I couldn't do it by then! Hopefully I will be able to change that!


Sleep-deprived and anxious? This brain region helps to explain why
Too little shut-eye raises anxiety; deep sleep offers protection against it.
Inadequate sleep leads to changes in brain activity that are linked to anxiety.
In a laboratory study, Eti Ben Simon and Matthew Walker and their colleagues at the University of California, Berkeley, found that when healthy volunteers were kept awake for 24 hours, they had higher anxiety levels the next morning than they did after a full night’s sleep. In fact, when sleep-deprived, half of the study participants reported anxiety levels typically seen in people with clinical anxiety disorders. And online surveys completed by a larger number of volunteers showed that ordinary fluctuations in nightly sleep quality predict next-day anxiety levels.
The team also imaged the brains of the sleep-lab participants as they watched video clips designed to conjure up negative emotions. People who watched these videos after sleep deprivation showed less activity in the prefrontal cortex (PFC), an area involved in emotional control, than they did when they were well-rested. Those with the greatest drops in PFC activity reported the largest spikes in anxiety after an all-nighter.
More and higher-quality non-REM slow-wave sleep — often referred to as deep sleep — correlated with greater recovery of PFC activity and greater reductions in next-day anxiety.


In Pictures: Rock for PM as Tory battlebus rolls out
It was a sweet end to the week for the PM while Labour leader Jeremy Corbyn gave internet providers including BT and Talk Talk something to chew over.
The main party leaders both visited the North West on Friday, where Boris Johnson took delivery of his campaign bus while Jeremy Corbyn promised that broadband provision would be free in future if Labour won power.
Here are some of the highlights from Friday’s General Election campaign events around the country.


Cart
here you can check your order with futher confirmation and payment
| New Product | Size | Quantity | Cost |
|---|---|---|---|
| Modern Line | M | 52.99$ |
| New Product | Size | Quantity | Cost |
|---|---|---|---|
| Modern Line | M | 52.99$ |
| Quantity | 5 |
| Total | 134.48$ |
| Discount | -5.33 |
| To Pay | 119.48$ |
here you can check your order with futher confirmation and payment
| New Product | Size | Quantity | Cost |
|---|---|---|---|
| Modern Line | M | 52.99$ |
| New Product | Size | Quantity | Cost |
|---|---|---|---|
| Modern Line | M | 52.99$ |
| Quantity | 5 |
| Total | 134.48$ |
| Discount | -5.33 |
| To Pay | 119.48$ |


White to play 63
pips White=155 Black=145
(CorrectAnswer= 0/0, ErrorScore= 0)
1. Bar/22* 9/3* eq: +0.276 55.13% (G:22.67% B:1.53%) 44.87% (G:15.52% B:0.98%) 2. Bar/22* 7/1* eq: +0.211 (-0.065) 54.14% (G:19.78% B:0.81%) 45.86% (G:13.43% B:0.59%) 3. Bar/22* 22/16 eq: +0.129 (-0.147) 52.91% (G:16.55% B:0.86%) 47.09% (G:14.17% B:0.68%) 4. Bar/22* 21/15 eq: +0.086 (-0.191) 51.76% (G:17.14% B:1.04%) 48.24% (G:16.02% B:0.75%) 5. Bar/22* 8/2 eq: -0.375 (-0.651) 41.16% (G:12.16% B:0.80%) 58.84% (G:23.14% B:2.09%)


Default Arrow Position
I'm a span in a div.
I'm a p.
I'm a span.
I'm a span.
I'm an h1, but i'm not a slot.
Beside Text Arrow Positioning
I'm a span in a div.
I'm a p.
I'm a span.
I'm a span.
I'm an h1, but i'm not a slot.
New Beta Component
First Section Beta
I'm a span in a div.
Second Section Beta
I'm a p.
Third Section Beta
I'm a span.
Fourth Section Beta has a really really long title to see what it looks
like when the title overflows
I'm a span.
New Beta Component with Beside Text Arrow Positioning
First Section Beta
I'm a span in a div.
Second Section Beta
I'm a p.
Third Section Beta
I'm a span.
Fourth Section Beta has a really really long title to see what it looks
like when the title overflows
I'm a span.
New Beta Component with Invalid Headers
First Section Beta
I'm a span in a div.
Second Section Beta
I'm a p.
Third Section Beta
I'm a span.
Fourth Section Beta has a really really long title to see what it looks
like when the title overflows
I'm a span.


--- layout: archive title: Zulip Chat Archive permalink: /stream/116395-maths/topic/Perfect.20field.html ---
Currently this is my definition:
/-- A perfect field is a field of characteristic p that has p-th root. -/ class perfect_field (α : Type u) [field α] (p : ℕ) [char_p α p] : Type u := (pth_root : α → α) (frobenius_pth_root : ∀ x, frobenius α p (pth_root x) = x)
Do you guys have a better suggestion?
My idea is that we can change the definition once we have enough theory about separable polynomials.
And go with this definition for now.
use discrete_field
field
is deprecated
Last updated: Apr 24 2020 at 19:02 UTC


Get a copy
We have stopped sending out plastic cards. They are costly to the NHS, bad for the environment and are not required as proof.
You can receive these details using the following options:
We have stopped sending out plastic cards. They are costly to the NHS, bad for the environment and are not required as proof.
You can receive these details using the following options:


This plugin provides an implementation of an old version of the Battery Status Events API. It adds the following three events to the window object:
- batterystatus
- batterycritical
- batterylow
Battery Status Log:
This plugin provides an implementation of an old version of the Battery Status Events API. It adds the following three events to the window object:
- batterystatus
- batterycritical
- batterylow


Omniship
This gem is under active development, I'm only in the Alpha stage right now, so keep checking back for updates.
This library has been created to make web requests to common shipping carriers using XML. I created this to be easy to use with a nice Ruby API. This code was originally forked from the Shopify/active_shipping code, I began to strip it down cause I wan't a cleaner API along with the ability to actually create shipment labels with it. After changing enough code, I created this gem as its own project since it's different enough.
Supported Shipping Carriers
Tests
Currently this is on my TODO list. Check back for updates
Contributing
Before anyone starts contributing, I want to get a good stable version going and tests to follow, after I get that going then for the features you add, you should have both unit tests and remote tests. It's probably best to start with the remote tests, and then log those requests and responses and use them as the mocks for the unit tests.
To log requests and responses, just set the logger
on your carrier class to some kind of Logger
object:
USPS.logger = Logger.new($stdout)
(This logging functionality is provided by the PostsData
module in the active_utils
dependency.)
After you've pushed your well-tested changes to your github fork, make a pull request and we'll take it from there!
Legal Mumbo Jumbo
Unless otherwise noted in specific files, all code in the Omniship project is under the copyright and license described in the included MIT-LICENSE file.


That PS5 cartridge is a giant memory card and it sounds expensive
An update to Sony’s patent has offered new clues as to what the PS5’s mysterious cartridge is and it may be an expensive propriety storage medium.
Patents have revealed a lot of interesting details about the PlayStation 5 so far, including a pretty comprehensive look at the DualShock 5 controller, but the one for what looks like an old school game cartridge has been a bit of a mystery.
It’s obviously not for games in the retro sense of the concept but the best guess up till now is that it’s some kind of storage expansion for when the console’s internal SSD just isn’t enough.
Thanks to a new update to the patent that theory seems to have been reinforced, although it doesn’t appear to be anything directly to do with the SSD but instead a separate, propriety technology.
The translation of the new information, according to PlayStation Universe is as follows, with renders of what the final cartridge might look like by LetsGoDigital:
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‘This is a recording medium which can record various data, such as a character, an image, an animation, a sound and a program. By loading the opening provided by the game console with the tip end part by which a variety of pins of this cartridge were provided, the various data recorded on this cartridge can be read.’
Sony has never used cartridges before in its consoles but it has used all manner of bespoke memory cards, most of which have been stupidly expensive – the worst examples being the ones for the PS Vita that were so costly they put people off the whole console.
You would’ve hoped they learned their lesson with that one but going by the, possibly incomplete, information in the patent, extra storage for the PlayStation 5 could end up being unwelcomingly expensive.
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How to permanently delete all unauthorized vendors from the Vendors module. Deleting a vendor does not delete any related Vendor banners from the site's Digital Asset Management module which is located on the Admin > File Management page, however the banners will no longer be displayed in the banners module.
Deleting all Unauthorized Vendors


{% load mapit_i18n %}
{% blocktrans trimmed %}
Versions have appeared in other countries, such as
Norway, and in 2012 we released a
global version based on OpenStreetMap data.
{% endblocktrans %}
This is a modified version run by Code for South Africa. The source code is
available at github.com/Code4SA/mapit-za.


--- layout: documentation title: IPFIXOptionsTemplateSetType ---
Specifies the regions of an Options Template Set, of which there are three: the Set Header, the collection of Options Template Records, and the optional padding at the end of the Options Template Set. See RFC 5101 under Set Format, which is section 3.3.1, for more information.
| Field Name | Type | Description |
|---|---|---|
| Set_Header0..1 | IPFIXSetHeaderType |
Indicates the Set Header region, which is 32-bit region containing the 16-bit fields Set ID and Length, in that order. These are the same fields referenced in the IPFIXSetHeaderType. |
| Options_Template_Record0..n | IPFIXOptionsTemplateRecordType |
Indicates the region of Options Template Records. These are the same fields referenced in the IPFIXOptionsTemplateRecordType. |
| Padding0..1 | HexBinaryObjectPropertyType |
Indicates the optional Padding at the end of an Options Template Set. As mentioned in RFC 5101, the Exporting Process MAY insert some padding octets, so that the subsequent Set starts at an aligned boundary. For security reasons, the padding octet(s) MUST be composed of zero (0) valued octets, and the padding length MUST be shorter than any allowable record in this Set. For more information see RFC 5101 under Padding. |


elfi is a state container for JavaScript applications. It takes its roots in libraries such as Flux and Redux, but strives to remain simple and avoid boilerplate code.
- Guide
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- React
elfi is a state container for JavaScript applications. It takes its roots in libraries such as Flux and Redux, but strives to remain simple and avoid boilerplate code.


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This is a combined condition. It shows if enableSecondText is true and enableFirstText is falsy. If both cases are correct, then the "featureToggle" is enabled and rendering this component.


Welcome, neophytes, to the Holy Order of Git. Our sacred cabal is an ancient one that worships that fell beast known as The Great Instrument of Terror, or The Git. The Git is as frightening as it is powerful, but our coterie has long practiced the secrets of taming this monster. As an acolyte it is my job to teach you our ways and impart some basic knowledge such that you may survive your encounters with the beast.
Git is a version control system that allows software developers to track and manage the revision history of their projects. At its most basic, Git allows for the creation of 'save points' in a project, so that when mistakes are made one can roll back to an earlier version.  Knowing this, let's keep things basic for now.
Git works by creating a folder within one's working directory in which it stores all of the files it uses to track changes. Whenever a file or directory within the working directory is modified, Git begins to track the changes. Using the command 'git add [file]', one can add the altered file to a 'commit'. Think of a commit as a save point - once the commit has been, well, committed, the code can be rolled back to this point at any time in the future. Once all of the altered files have been added, the command 'git commit -m "[message]"' will finalize the commit. It's a good idea to write the changes you've made in the [message] section, as failing to do so could anger The Git and bring great devestation to you and your loved ones.
Though intimidating, once tamed The Git will prove to be a powerful ally. In addition to providing revision history, Git also allows for simultaneous collaboration with other developers. Because Git is able to recognize what specifically has been changed in a file, two developers are able to work on different parts of the same file, at the same time, and combine them without undoing each other's changes. In order to do this, a remote repository such as GitHub is used to store an external copy of the project files.
By now it should be clear why The Git is such a respected creature. As an industry standard, knowing how to manage the beast is an essential skill. While it may seem daunting, befriending The Git is one of the best choices a young developer can make.