yui Class
The express-yui
extension provides the foundation and some basic
features to attach information into the res.locals
object
that could be used to boot YUI
in the client runtime.
When the "seed"
sub-module is used, it will automatically
mix itself into app.yui.expose()
, and it exposes a local variable
in a form of an array of object with the information to
build the script tag or tags that forms the seed:
The following is an example of how these features can be used:
var express = require('express'),
expyui = require('express-yui'),
app = express();
expyui.extend(app);
// Set some basic configs
app.yui.applyConfig({
fetchCSS: false
});
// Call expose middleware when a route match.
app.get('/index.html', expyui.expose(), anotherRoute);
In the example above, the state
of the app will be serialized
per request, and can be used in the template to set up the client
side to run YUI with the same configuration used on the server side.
Here is an example of a handlebars template:

In this particular case, state
will hold all the
appropiated settings generated by expose
middleware.
Constructor
yui
()
static
Item Index
Methods
- _buildsInBundle
- _buildUrls
- _captureYUIModuleDetails
- _checkBuildFile
- _checkYUIModule
- _clearCached
- _createSandbox
- _cssprocInBundle
- _filterFilesInBundle
- _isCached
- addModuleToSeed
- applyConfig
- applyGroupConfig
- attachModules
- augment static deprecated
- buildCSSUrls
- buildJSUrls
- config
- debugMode deprecated
- extend static
- getDefaultSeed
- getGroupConfig
- getSeedUrls
- plugin
- ready
- register
- registerGroup
- registerModules
- seed
- setCoreFromAppOrigin
- setCoreFromCDN
- shiftFiles
- use
- view
Properties
Methods
_buildsInBundle
-
bundle
-
modifiedFiles
-
jsonFiles
Analyze modified files and build.json files to infer the list of files that should be shifted.
Parameters:
-
bundle
Objectthe bundle to be analyzed
-
modifiedFiles
ArrayThe filesystem path for all modified files in bundle.
-
jsonFiles
ArrayThe filesystem path for all json files in bundle.
Returns:
The filesystem path for all files that should be shifted using shifter
_buildUrls
-
modules
-
ext
-
filterMap
-
customConfig
Build a list of urls for a list of modules. Modules are described as <module-name>@<group-name>
.
Modules without the group denotation will be assumed as core modules from yui. ext
denotates
the type of the modules since this routine is able to produce css or js modules alike.
Parameters:
-
modules
Arraythe array of modules to generate the urls.
-
ext
Stringthe modules extension,
js
orcss
. -
filterMap
Objecthash table to translate filter values into suffix for modules. e.g.:
min
->-min
-
customConfig
Objectoptional configuration to overrule filter and combine per request when building the urls
-
filter
Stringoptional filter to overrule any filter
-
combine
Booleanoptional flag to overrule combine, when set to
false
, it will avoid creating combo urls.
-
Returns:
the href
url for each link tag to be inserted in the header of the page
_captureYUIModuleDetails
-
path
-
sandbox
Given a path to a meta YUI module, parse the module name and specific group app module configuration.
Parameters:
-
path
Stringabsolute path to the meta module
-
sandbox
Objecta sandbox instance in which to run the YUI module. if not provided, a default one will be used.
Returns:
configuration with meta details
_checkBuildFile
-
file
Analyze a build.json file to extract all the important metadata associted with it.
Parameters:
-
file
StringThe filesystem path for the build.json file to be analyzed
Returns:
The parsed and augmented content of the build.json file
_checkYUIModule
-
file
Analyze a javascript file, if it is a yui module, it extracts all the important metadata associted with it.
Parameters:
-
file
StringThe filesystem path for the yui module to be analyzed
Returns:
The parsed and augmented metadata from the yui module
_clearCached
-
file
-
buildDir
Removes the cache entry for a particular file.
Why? This method is just an artifact to invalidate the cache entry created by
_isCached
when a shifter error is detected because the cache entry is premature
created before spawing to shifter.
Parameters:
-
file
StringThe filesystem path for the file to be cached
-
buildDir
StringThe filesystem path for the build folder
_createSandbox
()
Object
private
Creates a new sandbox instance in which to run the YUI module.
Default sandbox supports:
- Y.config
- Y.applyConfig
- Y.mix
- Y.merge
- Y.version
Returns:
the mock to extract the metas from the meta module
_cssprocInBundle
-
bundle
-
cssproc
Set the proper shifter configuration for images in the css modules to be processed based on the group configuration.
Parameters:
-
bundle
Objectthe bundle to be analyzed
-
cssproc
BooleanWhether or not we should add cssproc to shifter arguments.
Returns:
the arguments to be added to shifter or empty array
_filterFilesInBundle
-
bundle
-
the
-
filter
Get the fullPath of all modified files that should be shifted.
Parameters:
-
bundle
Objectthe bundle to be analyzed
-
the
Objectoriginal
evt.files
from locator plugin -
filter
FunctionCustom function to analyze each file
Returns:
the list of files to be shifted or empty array
_isCached
-
file
-
buildDir
Verifies if a source file was already processed by analyzing its content against an internal cache mechanism. JSON files (*.json) are an exception, and they will not be cached since they might includes other files that might change and affects the result of the build so we can't rely on the source file alone. If the file is not in cache, it will be included automatically.
Why? This method is just an artifact to avoid spawning a process to execute shifter, which is very expensive. It is also the main artifact to avoid shifting files when in production, if the build process includes the build folder, specially because manhattan does not support spawn. Finally, it is just a noop artifact to avoid calling shifter, it does not need to cache the response of the shifter process, just opt out for the next call to shift the same file with the same content.
Parameters:
-
file
StringThe filesystem path for the file to be cached
-
buildDir
StringThe filesystem path for the build folder
Returns:
true
if the file and its content matches the internal cache, otherwise false
.
addModuleToSeed
-
moduleName
-
groupName
Adds a yui module name into the core
YUI configuration
which is used by loader to identify the pieces that are
already part of the seed and should be attached to Y
automatically.
Parameters:
-
moduleName
Stringthe yui module name
-
groupName
Stringthe group name for the module
applyConfig
-
supplier
Extends the static configuration with the supplier object(s). You can use it like this:
// Disable CSS computations
app.yui.applyConfig({
fetchCSS: false
});
Parameters:
-
supplier
Objectobjects to be mixed with the static configuration. All available settings from the YUI API Docs. can be used here.
applyGroupConfig
-
groupName
-
loaderConfig
Set a custom loader configuration for the group.
Here is an example of how to use it.
app.yui.applyGroupConfig('app', {
maxURLLength: 2048,
comboBase: "/combo?"
comboSep: "&"
});
Parameters:
-
groupName
Stringthe name of the group used by loader.
-
loaderConfig
Objectcustom loader configuration for the group.
attachModules
-
mods
Attach modules into the Y instance on the server. This is equivalent to call
req.app.yui.use(moduleName)
for every module in mods
, but it
does queue them until the first Y
gets ready to be used.
Parameters:
-
mods
ArrayThe list of modules to be attached.
augment
-
app
Deprecated method to augment an express application instance with express-yui
functionalities.
Parameters:
-
app
Objectexpress app instance to be extended with the
yui
member.
Returns:
express app instance
buildCSSUrls
-
modules
Build a list of urls to load a list of css modules.
var links = app.yui.buildCSSUrls('cssbase', 'cssflickr@hermes');
As a result, links
will be an array with the urls that
you can use in your templates to provision styles.
Modules as cssflickr@hermes
denotate a module from a particular group,
as in <module-name>@<group-name>
. Modules without the group denotation
will be assumed as core modules from yui.
Parameters:
-
modules
String multipleOne or more module name (and optional @
)
Returns:
the href
url for each link tag to be inserted in the header of the page
buildJSUrls
-
modules
Build a list of urls to load a list of modules.
var scripts = app.yui.buildJSUrls('node', 'photos@hermes');
As a result, scripts
will be an array with one or more urls that
you can use in your templates to insert script tags.
Modules as photos@hermes
denotate a module from a particular group,
as in <module-name>@<group-name>
. Modules without the group denotation
will be assumed as core modules from yui.
Parameters:
-
modules
String multipleOne or more module name (and optional @
)
Returns:
the src
url for each script tag that forms the seed
config
-
supplier
Extends the static configuration with the supplier object(s)
or returns the current static configuration reference. This
configuration is static, and attached to the server object.
Once you call yui.expose()
middleware for the first time,
this configuration becomes inmutable.
Parameters:
-
supplier
ObjectOptional supplier objects that, if passed, will be mix with the static configuration.
Returns:
static configuration
debugMode
-
config
Turns on debug mode for YUI Loader by setting
debug=true
, logLevel="debug"
, combine=false
and filter="debug"
into the static configuration.
app.yui.debugMode();
Parameters:
-
config
Objectoptional object to overrule specific settings when in debug mode.
-
combine
Booleandefault to
false
-
debug
Booleandefault to
true
-
logLevel
Stringdefault to
"debug"
-
filter
Stringdefault to
"debug"
-
extend
-
app
Extends an express application instance with express-yui
functionalities.
Parameters:
-
app
Objectexpress app instance to be extended with the
yui
member.
Returns:
express app instance
getDefaultSeed
()
Array
Gets the default list of module names that should be part of the seed files.
Returns:
list of modules in seed
getGroupConfig
-
path
Extracts information from a meta module. This information includes
the details about the meta module in the YUI registry plus all the
info about the groups that are part of the meta module, along with
all the modules per group. This method is used by origin
to
analyze each group before serving them.
var path,
config;
path = __dirname + '/assets/js/metas.js';
config = app.yui.groups.getGroupConfig(path);
Parameters:
-
path
Stringthe filesystem path to the meta module
Returns:
modules the modules meta for the group
getSeedUrls
-
customConfig
Build the list of urls to load the seed files for the app.
var scripts = app.yui.getSeedUrls();
As a result, scripts
will be an array with one or more urls that
you can use in your templates to provision YUI. Keep in mind that if
use expressYUI.expose()
middleware, you don't need to provision the
seed, it will be provisioned automatically as part of the state
object.
Parameters:
-
customConfig
Objectoptional configuration to overrule filter and combine per request when building the urls. This is useful if you have a custom middleware to turn debug mode on, and combine off by passing some special parameter.
-
filter
Stringoptional filter to overrule any filter
-
combine
Booleanoptional flag to overrule combine, when set to
false
, it will avoid creating combo urls.
-
Returns:
the src
url for each script tag that forms the seed
plugin
-
options
-
filter.bundle
-
filter.relativePath
-
filter.return
Creates a locator plugin that can analyze locator bundles, build modules and build loader metadata for all yui modules within the bundle.
Parameters:
-
options
ObjectOptional plugin configuration objects that, if passed, will be mix with the default configuration of the plugin.
-
registerGroup
BooleanWhether or not the bundle should be registered as a loader group to be used from the client and server. Default to false.
-
registerServerModules
Boolean | FunctionWhether or not server modules should be provisioned to be loaded thru
app.yui.use()
on the server side. Default to false. -
cache
BooleanWhether or not the shifting process should be cached to speed up the build process. By default, it is true.
-
buildDir
StringOptional custom filesystem path for the output folder of the shifter. Default to an internal computation based on
locator.buildDir
. -
args
ObjectOptional custom shifter cli arguments. This will overrule custom
options
that are translated into shifter arguments. -
lint
ObjectOptional enable linting in shifter.
-
coverage
ObjectOptional generate
-coverage.js
version of modules in shifter. -
silent
ObjectOptional run shifter in silent mode.
-
quiet
ObjectOptional run shifter in quiet mode.
-
cssproc
BooleanOptional flag to preprocess css to readjust urls for assets to resolve with
base
for the corresponding group to make them work with combo. -
filter
RegExp | Functionoptional regex or function to execute for each
evt.files
. If nofilter
is supplied, all modified files will be shifted. If the regex is provided, it will be tested against everyevn.files
, testing the relative path to determine if the file should be shifted or not. In a function if provided, the function will be called for everyevt.files
with the following arguments:
-
-
filter.bundle
Objectthe current bundle to where the file belongs to
-
filter.relativePath
Objectthe relative path to the file from the bundle
-
filter.return
BooleanReturn true to indicate that the file should be shifted. Otherise the file will be skipped.
Returns:
locator plugin
ready
-
callback
Boots the application, rehydrate the app state and calls back to notify the
ready
state of the app.

Parameters:
-
callback
Functionwhen the app is ready
register
-
bundleName
-
cacheKey
-
mod
Registers information about modules that will be used to generate the bundle meta.
Parameters:
-
bundleName
StringThe bundle name to be registered.
-
cacheKey
StringThe cache key for the file that generates mod.
-
mod
ObjectThe module information generated by the shifter module.
registerGroup
-
groupName
-
groupRoot
-
metaFile
Register a group and its modules by analyzing the meta file and defining the
group configuration for the loader. Groups can be served from origin app or
from CDN by calling applyGroupConfig
or by setting yui default base
,
yui default root
and yui combo config
thru app.set()
.
Here is an example on how to use it, assuming that the YUI metadata are
located in the build
directory under the app root.
app.yui.registerGroup('app', __dirname + '/build');
Parameters:
-
groupName
Stringthe name of the group used by loader.
-
groupRoot
Stringfilesystem path for the group. This will be used to analyze all modules in the group.
-
metaFile
Stringoptional filesystem path for the yui module that holds the metas for the group. Default value:
<groupRoot>/<groupName>/<groupName>.js
registerModules
-
groupName
-
groupModules
Add a group and its modules into the server Y instance or updates the current Y instance by re-adding them.
Parameters:
-
groupName
StringThe bundle/group name to be attached.
-
groupModules
ObjectThe modules meta for the group.
seed
-
modules
Specify a list of modules to use as seed. This
method extends the yui static configuration,
specifically setting the app.yui.config().seed
value.
app.yui.seed(["yui-base", "loader"]);
Parameters:
-
modules
Arraylist of modules to use
Returns:
express middleware
setCoreFromAppOrigin
-
loaderConfig
Set YUI Core Modules from the same origin as to where the application is hosted.
Here is an example on how to use it:
app.yui.setCoreFromAppOrigin({});
Parameters:
-
loaderConfig
Objectoptional loader configuration for the core
setCoreFromCDN
-
loaderConfig
Set up a default group in loader that represents the core yui modules to be loaded from YUI CDN.
app.yui.setCoreFromCDN();
Parameters:
-
loaderConfig
ObjectOptional loader configuration objects that, if passed, will be mix with the default configuration for yui CDN.
shiftFiles
-
files
-
options
-
callback
Shift yui modules using shifter cli.
Parameters:
-
files
Arrayfilesystem paths for all files to be shifted
-
options
Objectconfiguration
-
buildDir
Stringcustom path for the output of the shifter
-
cache
Booleanwhether or not we should apply cache to speed up the shifting process. If true, it will create the folder
.cache
and generate some hash to prevent shifting the same *.js files if there is not change in the source. -
args
Arrayshifter cli build arguments, it defaults to
[]
-
-
callback
Functionthe callback method to signal the end of the operation
use
()
public
Attaches the seed into the head, then creates a YUI Instance and attaches
modules
into it. This is equivalent to YUI().use()
after getting the seed
ready. This method is a bootstrap implementation for the library, and the way
you use this in your templates, is by doing this:

Where state
defines the state of the express app, and app.yui
defines
the helpers that express-yui
brings into the client side.
view
-
config
-
defaultBundle
Expose a View class for express.
app.set('view', app.yui.view({ defaultBundle: 'app-name' });
Parameters:
-
config
ObjectThe default configuration of the view engine.
-
defaultBundle
ObjectThe default group or bundle to lookup the template name.
Returns:
the express view class
Properties
CSS_FILTERS_MAP
Object
The default mapping for suffix based on the config filter
value for css modules.
DEFAULT_FILTER
String
The default filter suffix for yui modules urls.
JS_FILTERS_MAP
Object
The default mapping for suffix based on the config filter
value for js modules.


{% include meta.html %}
{% include navbar.html %} {% include header.html %} {% include booking.html %} {% include booklet.html %} {% include gallery.html %} {% include slideshow.html %} {% include services.html %} {% include map.html %} {% include activities.html %} {% include contact.html %} {% include footer.html %} {% include scripts.html %}


A Class Above the Rest
An introduction to Ruby classes, instance variables, and inheritance
The best help in understanding the purpose and importance of object orientated programming is the use of real world examples. It is a big step to go from thinking of a line of code like sum = 2 + 5
or if b > c then …
to understanding the creation of an object as an instance of a class that has inherited properties from the classes in the hierarchy above. The example we are going to use today to wrap our heads around Ruby Classes is dogs.
Every dog we see walking outside is unique, but we still instantly recognize it as a dog (except for those tiny lap dogs that might as well be cats or guinea pigs). Although every dog is different, we recognize that they are also all somewhat similar in their “dogness.” In object orientated programming, we define a class to encompass the attributes that all dogs have. If we create a new dog object we first have to identify the basics like it’s breed and how old it is. We then have access to teach that dog a new trick or give it a grooming. In the world of Ruby code, each of these attributes of dogness is handled slightly differently so we will break down each one.
Harper = Dog.new("Goldendoodle")
The first is initializing the new dog object. When we create a new dog we need to identify the dog’s breed. The dog’s breed can’t be changed at any time. That’s just the way our puppy was born and we can’t change it later if we want to. Any type of variable that is stored at the dog level is called an instance variable. This means that the data for that variable is stored within our dog object. In the case of breed, the data for that variable shouldn’t be able to be changed, but should be available to be read later if desired. So we can get the dog breed by:
p Harper.breed => "Goldendoodle"
But we CAN NOT set the dog breed by:
Harper.breed = "German Shepard"
We can also have instance variables that can be read or set. For example, Harper’s coat color is white, but if I take her to the groomer I can ask for them to turn her into a zebra for Halloween:
p Harper.coat => "white" Harper.coat = "black and white stripes" p Harper.coat => "black and white stripes"
How these variables are set up within our Ruby Class is different to account for their different levels of access. For variables that should only be read, but not edited directly by the user we use the code:
attr_reader :breed
For the attributes that are readable and writable we instead use:
attr_accessor :coat
There is also a way to make an instance variable only writable, but not readable. However, I can’t think of anything like that in relation to our dog example. Here’s the line of code that you would use if you had a good reason for that type of data:
attr_writer :example_variable
Dogs are definitely the best pets, but they aren’t the only kind of pets. In fact, they have a lot in common with other pets. If we were building out all of the different classes for each type of pet we would have to use a lot of redundant code. However, Ruby has a way to help with this (of course). The best way to set this up is to first build out a class for Pet. In this class we build out the variables or methods that are useful for any type of pet. Then when we define our Dog class we would tell it to inherit all of the methods and variables from the pet class. In this way we only need to define the things in the dog class that are unique to dogs.
def Pet att_reader: breed def train(new trick) commands << new_trick end end def Dog < Pet attr_accessor :coat end Harper = Dog.new Harper.train("sit")


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This vignette demonstrates mmbr
in the context of prediction. We first simulate three phenotypes (\(y_1\), \(y_2\), \(y_3\)) and genotypes at \(P = 1000\) loci (\(X\)) for \(N = 500\) individuals. Then, the goal is to predict phenotypes from genotypes for \(N_{test} = 100\) individuals, training our model on the remaining \(N_{training} = 400\) individuals.
library(mmbr)
# Loading required package: mashr
# Loading required package: ashr
set.seed(1234)
options(stringsAsFactors = F)
The first step involves simulating phenotypic and genotypic data.
N = 500
P = 1000
true_eff <- 2
X = matrix(sample(c(0, 1, 2), size=N*P, replace=T), nrow=N, ncol=P)
beta1 = beta2 = beta3 = rep(0, P)
beta1[1:true_eff] = runif(true_eff)
beta2[1:true_eff] = runif(true_eff)
beta3[1:true_eff] = runif(true_eff)
y1 = X %*% beta1 + rnorm(N)
y2 = X %*% beta2 + rnorm(N)
y3 = X %*% beta3 + rnorm(N)
The phenotypic data was simulated assuming the same 2 causal variables affect each of the traits with different effects.
which(beta1 != 0)
# [1] 1 2
which(beta2 != 0)
# [1] 1 2
which(beta3 != 0)
# [1] 1 2
head(beta1)
# [1] 0.3910978 0.1355306 0.0000000 0.0000000 0.0000000 0.0000000
head(beta2)
# [1] 0.8208315 0.1047051 0.0000000 0.0000000 0.0000000 0.0000000
head(beta3)
# [1] 0.1543145 0.7113933 0.0000000 0.0000000 0.0000000 0.0000000
mmbr
For starters, we assume there are at most 10 causal variables (i.e., set L = 10
), select the first 100 individuals as the training set, and derive the prior from data:
L <- 10
test_num <- 1:100
y <- cbind(y1[-test_num], y2[-test_num], y3[-test_num])
prior_covar <- create_mash_prior(sample_data = list(X=X[-test_num, ],Y=y,residual_variance=cov(y)), max_mixture_len=-1)
Then, we fit the mmbr
model to the training set.
m <- msusie(X[-test_num, ], y, L=L, prior_variance=prior_covar)
Finally, we use the parameter estimates from the training set to predict phenotypes in the test set. The accuracy of prediction is calculated as the correlation between true and predicted phenotypes.
Here are some details about the computing environment, including the versions of R, and the R packages, used to generate these results.
sessionInfo()
# R version 3.5.3 (2019-03-11)
# Platform: x86_64-pc-linux-gnu (64-bit)
# Running under: LMDE 3 (cindy)
#
# Matrix products: default
# BLAS: /usr/lib/atlas-base/atlas/libblas.so.3.0
# LAPACK: /usr/lib/atlas-base/atlas/liblapack.so.3.0
#
# locale:
# [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
# [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
# [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
# [7] LC_PAPER=en_US.UTF-8 LC_NAME=C
# [9] LC_ADDRESS=C LC_TELEPHONE=C
# [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
#
# attached base packages:
# [1] stats graphics grDevices utils datasets methods base
#
# other attached packages:
# [1] mmbr_<IP_ADDRESS>7 mashr_<IP_ADDRESS>1 ashr_2.2-39
#
# loaded via a namespace (and not attached):
# [1] Rcpp_1.0.3 susieR_<IP_ADDRESS>4 pillar_1.3.1
# [4] compiler_3.5.3 plyr_1.8.5 prettyunits_1.0.2
# [7] progress_1.2.2 iterators_1.0.12 tools_3.5.3
# [10] zeallot_0.1.0 digest_0.6.23 tibble_2.1.1
# [13] evaluate_0.13 memoise_1.1.0 lattice_0.20-38
# [16] pkgconfig_2.0.3 rlang_0.4.2 Matrix_1.2-16
# [19] foreach_1.4.7 yaml_2.2.0 parallel_3.5.3
# [22] mvtnorm_1.0-11 pkgdown_1.4.1 xfun_0.9
# [25] stringr_1.4.0 knitr_1.25 vctrs_0.2.1
# [28] hms_0.5.3 desc_1.2.0 fs_1.3.0
# [31] rprojroot_1.3-2 grid_3.5.3 R6_2.4.1
# [34] rmarkdown_1.15 mixsqp_0.2-2 rmeta_3.0
# [37] magrittr_1.5 matrixStats_0.55.0 backports_1.1.5
# [40] codetools_0.2-16 htmltools_0.3.6 MASS_7.3-51.1
# [43] assertthat_0.2.1 abind_1.4-5 stringi_1.4.3
# [46] doParallel_1.0.15 pscl_1.5.2 truncnorm_1.0-8
# [49] SQUAREM_2017.10-1 crayon_1.3.4


| I l@ve RuBoard |
3.9 Other System ToolsIn this and the prior chapters, we've met most of the commonly used system tools in the Python library. Along the way, we've also learned how to use them to do useful things like start programs, process directories, and so on. The next two chapters are something of a continuation of this topic -- they use the tools we've just met to implement scripts that do useful and more realistic system-level work, so read on for the rest of this story. Still, there are other system-related tools in Python that appear even later in this text. For instance:
Moreover, things like forks and threads are used extensively in the Internet scripting chapters: see the server implementations in Chapter 10 and the FTP and email GUIs in Chapter 11. In fact, most of this chapter's tools will pop up constantly in later examples in this book -- about what one would expect of general-purpose, portable libraries. Last but not necessarily least, I'd like to point out one more time that there are many additional tools in the Python library that don't appear in this book at all -- with some 200 library modules, Python book authors have to pick and choose their topics frugally! As always, be sure to browse the Python library manuals early and often in your Python career. |
| I l@ve RuBoard |


I recently wanted to create LXC containers on multiple hosts using a standard
rootfs. My idea was to install all my apps on one container, tar
it up and
use it everywhere. As I was working on implementing this, I found that LXC does
not provide an option to create a container using a tarball as the rootfs.
After a bit of googling I found this script from saltstack which lets you create a container from a tarball. Here is the whole process
Assuming the container that you want to set as the templete is called
base-container
. Start the container and install all the apps that your require.
shutdown the container after all depependeinces are installed.
$ lxc-stop -n base-container
By default, the rootfs for this container will be located
at /var/lib/lxc/base-conainer/rootfs
. Create the tar using the following
command
$ cd /var/lib/lxc/base-container/
$ tar -cvzf template.tar.gz rootfs/
To use templete.tar.gz
as the template for creating new containers, download
the salt_tarball
script from
here.
Run the lxc-create with this script as the template
$ lxc-create -n newcontainer -t salt_tarball -- --network_link lxcbr0 --imgtar template.tar.gz
the --network_link
is set to the default lxcbr0
bridge that LXC creates. If
you have a different networking set-up, change lxcbr0
to your bridge.


Life would be a lot easier if emotions were taken out of a lot of situations, but life just wouldn’t be as fun if emotions were taken away. This is why we need to be able to learn about and understand our emotions and Emotional Intelligence. By doing so we will be able to enjoy life a little more and also further ourselves in whatever goal or target that we have set for ourselves.
What is EQ, and also, what is IQ?
IQ or Intelligence Quotient is the measure of a person’s intelligence through a standardised test that is conducted. EQ or Emotional Quotient is the ability to manage and understand your own emotions in a positive way to relieve stress, communicate effectively, empathise with others, overcome challenges and defuse conflict.
EQ vs IQ
The key difference is that IQ is all about a person’s knowledge of things whereas EQ is about a person’s understanding of their own emotions. This is important as it can help when managing your emotions during a difficult period and allow you to channel those emotions into something positive that helps in overcoming difficult tasks or achieving a goal you may have set out.
Finally
Being able to understand how to utilise emotions to our benefit is a highly important skill. It is something that needs to be worked on constantly. Having learned about Emotional Intelligence I think it will be of huge importance to me during my studies in programming. Hopefully, by learning and understanding more about my own Emotional Intelligence I will be able to achieve my goal of getting into a software development role.


{% extends 'base.html' %} {% block content %} {% include 'navbar.html' %}
Use the Sales Crystal Ball to predict your cumstomer's demand. Life is made easy with the magic of data science!


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The Restaurant is located 9 km from the downtown area and the train station. An ideal location for your next family vacation or business trip (7 days a week from 6:00 a.m. to 8:00 p.m. (Paris time) - Cost of a local call)
stylish poolside terrace where winter meets summer Guests are invited to spend time at FIVE Up by the pool where they can share international delicacies. An ideal location for your next family vacation or business trip (7 days a week from 6:00 a.m. to 8:00 p.m. (Paris time) - Cost of a local call)
Located near shopping areas with easy access to parking and Fantastic service An ideal location for your next family vacation or business trip (7 days a week from 6:00 a.m. to 8:00 p.m. (Paris time) - Cost of a local call)
A weekend in Dole is long enough to make a relatively complete tour of the town. An ideal location for your next family vacation or business trip (7 days a week from 6:00 a.m. to 8:00 p.m. (Paris time) - Cost of a local call)
Start your visit with the town's most beautiful monuments, proud representatives of a rich historical An ideal location for your next family vacation or business trip (7 days a week from 6:00 a.m. to 8:00 p.m. (Paris time) - Cost of a local call)


Snookes1516.github.io
Trapeze is a 1956 American circus film directed by Carol Reed and starring Burt Lancaster, Tony Curtis and Gina Lollobrigida, making her debut in American films.
Creative Writing. Ranked 1st in the UK by The Times Sunday Times Good University Guide 2019 and 2nd by The Complete University Guide 2019.
Profile page for Brian Baker at Lancaster University. The Master is a 2012 American drama film written, directed, and co-produced by Paul Thomas Anderson and starring Joaquin Phoenix, Philip Seymour Hoffman, and Amy Adams. Film and creative writing lancaster. Creative Writing is a complete writing course that will jump-start your writing and guide you through your first steps towards publication. Suitable Creative Team. L. FRANK BAUM (Book, 1856-1919) was an American author chiefly known for his children’s books, particularly The Wonderful Wizard T f c c Creative Circle 22 Long Acre Covent Garden London WC2E 9LY 020 7636 1223 © Creative Circle. Find out more about studying Film and English Literature (Placement Year) BA Hons (PQ34) at Lancaster University. Creative Writing English Creative Writing Lancaster. Search titles only has image posted today bundle duplicates include nearby areas albany, NY (alb) altoona-johnstown (aoo).
Amish Promises (Neighbors of Lancaster County) Leslie Gould on Amazon.com. FREE shipping on qualifying offers. Journey Down a Quiet Lane in Lancaster County Where. Information relating to Film and Creative Writing (PW38) at Lancaster University.
Brendan O’Meara - Home of The Creative Nonfiction Podcast.
Find more information about Film and Creative Writing BA (Hons) course at Lancaster University, including course fees, module information and entry requirements. Think. Make. Create. Lancaster Institute for the Contemporary Arts (LICA). Department of English City, University of London. Theatre and Creative Writing BA Hons (WW48) Lancaster. Amazon.com: Creative Writing: A Workbook with Readings. Film and Creative Writing : BA Reasons to study Creative Writing at Lancaster. placements in schools and placements in heritage and creative. Fine Art BA Hons (W100) Lancaster University. Film and Creative Writing - Lancaster University Times. Amish Promises (Neighbors of Lancaster County): Leslie.
Film and English Literature (Placement Year) BA Hons (PQ34). Film and Creative Writing (PW38) Lancaster Institute. Find out more about studying Theatre and Creative Writing BA Hons (WW48) at Lancaster University. Brian Baker English Creative Writing Lancaster. Lancaster s degree in Film and Creative Writing is taught jointly by the Lancaster Institute for the Contemporary Arts (LICA) and the Department of English.
By Brendan O’Meara “The possibilities of doing something similar to fiction in nonfiction really did appeal to me.” —Tracy Kidder “I don’t
Find out more about studying Fine Art BA Hons (W100) at Lancaster University. English Creative Writing Lancaster University. Our students worked together to write, direct and shoot a film to describe what their experience of studying English and Creative Writing is like. New york writing gigs - craigslist. The Department of English, encompasses our undergraduate English programme as well as more specialist disciplines such as Creative Writing and Publishing which.
Studying English and Creative Writing at Lancaster - YouTube. The Master (2012 film) - Wikipedia. Film and Creative Writing BA (Hons) at Lancaster University.


A place to learn and act about Fossil Fuels, an important contributor to Global Warming
Substances that formed underground millions of years ago from dead plants and animals. Typical types of fossil fuels include coal, petroleum (oil), and natural gas.
A term given to a recently observed rise in global temperature that is believed to be caused by humans. Many scientists believe Global Warming is caused by increasing amounts of gas in the atmosphere called greenhouse gases.
Combustion of fossil fuels releases carbon monoxide, a toxic compound that is recognized as a greenhouse gas. Greenhouse gasses float and stay in the stratosphere of the Earth, preventing the heat on Earth from escaping into space.
Explore some of the most popular products that involves fossil fuels, and if you use any of them, consider switching to a fossil-fuel-free alternative. Also remember to spread the word!
BrowseA collection of common products that involve fossil fuels.


{% extends 'base.html' %}
{% load static %}
{% block title %}
Sports Academys
{% endblock title %}
{% block content %}
Academys Ground locations Academy Coachs Joined PeopleGet A Perfect Body Shape With Us
Sports Academys
{{ academy.name }}
{{ academy.city }}
Our Services
Fitness was defined as the capacity to carry out the day’s activities without undue fatigue. However, with automation and changes in lifestyles physical fitness is now considered a measure of the body's ability to function efficiently and effectively in work and leisure activities, to be healthy, to resist hypokinetic diseases, and to meet emergency situations.
Fitness is defined as the quality or state of being fit and healthy.[5] Around 1950, perhaps consistent with the Industrial Revolution and the treatise of World War II, the term "fitness" increased in western vernacular by a factor of ten.
Anaerobic exercise features high-intensity movements performed in a short period of time. It is a fast, high-intensity exercise that doesn’t require the body to utilize oxygen to produce energy. It helps to promote strength, endurance, speed, and power; and is used by bodybuilders to build workout intensity.
Every year Yogi’s from around the world flock to the Yoga capital of the world Rishikesh to celebrate one of the most popular and loved Yoga festivals in the world – The International Yoga Festival. This year is definitely a special year as it is the 30th Anniversary edition of this festival. Organized by Parmarth….
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120-240 Rio de Janeiro - State of Rio de Janeiro, Brazil


@* * Copyright 2019 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import config.FrontendAppConfig @import models.requests.AuthenticatedRequest @import uk.gov.hmrc.play.views.formatting.Money.pounds @(amount: BigDecimal, appConfig: FrontendAppConfig)(implicit request: AuthenticatedRequest[_], messages: Messages)
@messages("card.you_are") @pounds(amount.abs, 2) @messages("card.in_credit")
@messages("card.make_a_corporation_tax_payment")


R/R6Classes.R
H5RefClass-class.Rd
This class is not intended for creating objects, but as a base class for all other H5-derived classes to provide common functionality for id tracking
Object of reference class H5RefClass
.
id
Returns the id of the object as an integer
new(id = NULL)
Constructor for the basic class for hdf5 objects. Takes an id and stores it appropriately, including the necessary counting of object references that the package implements. This reference counting is included in addition to R's internal method in order to allow for the invalidation of objects in R itself when all open handles in an R-file are being closed.
close()
Closes an object and calls the appropriate HDF5 function for the type of object
print(...)
Prints the class of the object and the id
methods()
Prints available methods on the screen
get_file_id()
This function implements the HDF5-API function H5Iget_file_id. Please see the documentation at https://portal.hdfgroup.org/display/HDF5/H5I_GET_FILE_ID for details.
get_obj_type()
This function implements the HDF5-API function H5Iget_type. Please see the documentation at https://portal.hdfgroup.org/display/HDF5/H5I_GET_TYPE for details.
get_ref()
This function implements the HDF5-API function H5Iget_ref. Please see the documentation at https://portal.hdfgroup.org/display/HDF5/H5I_GET_REF for details.
inc_ref()
This function implements the HDF5-API function H5Iinc_ref. Please see the documentation at https://portal.hdfgroup.org/display/HDF5/H5I_INC_REF for details.
dec_ref()
This function implements the HDF5-API function H5Idec_ref. Please see the documentation at https://portal.hdfgroup.org/display/HDF5/H5I_DEC_REF for details.
id()
Returns the id of the object
is_valid()
This function implements the HDF5-API function H5Iis_valid.
Please see the documentation at https://portal.hdfgroup.org/display/HDF5/H5I_IS_VALID for details.
Additionally, the R-object representing the HDF5-id can be invalidated as well. In this
case, the class id is set to NA
and is_valid
returns FALSE
.
message()
Legacy function; currently not used; may be removed


{% extends 'pychart/base.html' %} {% block content %}
We've sent you a confirmation email. Please check your email and click to confirm, in order to complete registration.
The activation link in the email will be valid for 7 days.
Home {% endblock %}


SWIFT
Swift Gamma-Ray Burst Mission, is a NASA space observatory designed to detect gamma-ray
bursts (GRBs). It was launched on November 20, 2004. The Swift observatory comprises three telescopes,
which work in tandem to provide rapid identification and multi-wavelength follow-up of GRBs and their
afterglows. Within 20 to 75 seconds of a detected GRB, the observatory rotates autonomously, so the
onboard X-ray and optical telescopes can view the burst. The afterglow phenomenon follows the initial
gamma-ray flash in most bursts. It can linger in X-ray light, optical light and radio waves for hours to
weeks, providing great detail and SWIFT basically aims to detect all these with it is detailed
instruments.
The Fermi Gamma-ray Space Telescope
NASA's Fermi Gamma-ray Space Telescope is a powerful space observatory that opens a wide
window on the universe. Gamma rays are the highest-energy form of light, and the gamma-ray sky is
spectacularly different from the one we perceive with our own eyes. Fermi enables scientists to answer
persistent questions across a broad range of topics, including supermassive black-hole systems, pulsars,
the origin of cosmic rays, and searches for signals of new physics.
Astronomers at long last have a superior tool to study how black holes, notorious for pulling matter in,
can accelerate jets of gas outward at fantastic speeds. Physicists are able to study subatomic particles
at energies far greater than those seen in ground-based particle accelerators. And cosmologists are
gaining valuable information about the birth and early evolution of the Universe.
More technically, Fermi observes light in the photon energy range of 8,000 electronvolts (8 keV) to
greater than 300 billion electronvolts (300 GeV). An electronvolt is a unit of energy close to that of
visible light; Fermi observes photons with energy levels thousands to hundreds of billions of times
greater than what the unaided eye can see.
When launched on June 11, 2008, Fermi bore the name Gamma-ray Large Area Space Telescope, or GLAST. NASA
renamed the mission that August in honor of professor Enrico Fermi (1901-1954), a pioneer in high-energy
physics.
What is Gamma Ray Bursts?
Gamma-ray bursts are the strongest and brightest explosions in the universe, thought to be
generated during the formation of black holes. Though they last mere seconds, gamma-ray bursts produce
as much energy as the sun will emit during its entire 10-billion-year existence.
The enigmatic phenomena were first seen in 1967 by a U.S. Air Force satellite called Vela. The probe was
designed to keep watch for secret Soviet nuclear testing, but it ended up spotting dazzling gamma-rays —
the most powerful electromagnetic radiation — coming from beyond the solar system, according to NASA
What is X-Ray?
X-rays are types of electromagnetic radiation and X-rays are roughly classified into soft
X-rays and hard X-rays. Soft X-rays have relatively short wavelengths of about 10 nanometers (a
nanometer is one-billionth of a meter), and so they fall in the range of the electromagnetic (EM)
spectrum between ultraviolet (UV) light and gamma-rays. Hard X-rays have wavelengths of about 100
picometers (a picometer is one-trillionth of a meter).
What is Ultraviolet?
Ultraviolet (UV) is a form of electromagnetic radiation with wavelength from 10 nm (with a
corresponding frequency of approximately 30 PHz) to 400 nm (750 THz), shorter than that of visible light
but longer than X-rays. UV radiation is present in sunlight, and constitutes about 10% of the total
electromagnetic radiation output from the Sun. The electromagnetic spectrum of ultraviolet radiation
(UVR), defined most broadly as 10–400 nanometers because of that reason it can be subdivided in a wide
range.


Pulsing 2
Spinner 3
Spinner 4
Primary
Secondary
Tertiary
Info
Success
Warning
Error
Dark
Light
Inverse


Christmas in Birmingham 2019 - A look at your pictures taken from around the city 21 Nov 2019, 15:18 by Scott Edwards, https://www.facebook.com/scottedwardsjournalist/ flickr / Mike Wilson Birmingham German market.1 of 6 Must byline flickr / Elliott Brown Birmingham Christmas Market.2 of 6 flickr / Karl W Newton The Birmingham Christmas market3 of 6 Must byline flickr / melodysurf Birmingham Christmas Market4 of 6 flickr / Gerard Higgins Centenary Square - Birmingham5 of 6 flickr / Louise Howell6 of 6


Weight loss not guaranteed
| Channel | Description | |
|---|---|---|
| Stable | Standard released version. Major updates every 6 weeks. | |
| Beta | One step ahead of stable. Major updates every 6 weeks. | |
| Dev | First tested version. Updated 2-3 times per week. | |
| Canary | Bleeding edge. Released daily. Untested and could be broken. | |
drop
elements
drag
and
to
rearrange
When editing almost any string containing a number in the Elements panel, the arrow keys can be used to increment/decrement the value
This works in suprising places, such as on Hex values
Hold the shift key to increment/decrement by 10 with the arrow keys
Hold the alt key to increment/decrement by .1 with the arrow keys
When using the color picker, if you move the mouse over the page a magnifying glass will appear that allows you to pick a specific pixel’s color
Shift+click on a color in the sidebar to switch between color formats (rgb, hex, hsl)
Jenny is standing by to take your call
Navigate the DOM in the Elements panel using arrow keys
| Mac | Windows | Action |
|---|---|---|
| Esc | Esc | Shows/hides the console |
| Mac | Windows | Action |
|---|---|---|
| Cmd + ] | Ctrl + ] | Next panel in DevTools |
| Cmd + [ | Ctrl + [ | Previous panel in DevTools |
| Mac | Windows | Action |
|---|---|---|
| Cmd + P | Ctrl + P | Search for file by name |
| Mac | Windows | Action |
|---|---|---|
| Cmd + Opt + F | Ctrl + Shift + F | Search all sources for string |
| Mac | Windows | Action |
|---|---|---|
| Ctrl + G | Ctrl + G | Jump to a specific line number in the current file. |
Can also be done using the Search for file by name dialog by putting a : at the start
| Mac | Windows | Action |
|---|---|---|
| Cmd + opt + C | Ctrl + Shift + C | Toggle into inspect element mode when in the browser window. |
Useful to inspect elements that are hidden when the mouse moves out of them
| Mac | Windows | Action |
|---|---|---|
| Cmd + Shift + O | Ctrl + Shift + O | List and search functions in current file |
| Mac | Windows | Action |
|---|---|---|
| Cmd + Shift + D | Ctrl + Shift + D | Dock/Undock the DevTools with the browser window |
Clears the console output
Throws an error and stack trace if the expression passed into it is false
Logs the # of times that count has been invoked at that line with that label.
Starts and stop a JavaScript CPU profile if the DevTools are open
Starts and stops a timer for the specified label. When stopped, the time elapsed is displayed in the console.
Not in the console object
These only exists inside the console!
Aliases for document.querySelector() and document.querySelectorAll() respectively.
Copies whatever element is passsed into it to the clipboard
When the specified function is called, a message is logged with the method name and arguments to the method.
When one of the specified events occurs on the object, log the event object to the console.
Keeps the log between full page navigation. An option exists for this in both the Network panel and the Console
Right click on any XHR request in the Network panel to have the option to replay that request
When debugging code, rerun the code in the any frame in the Call Stack by right clicking the frame and selecting to Restart Frame
Attaches a Grep method to the Object prototype
Add jQuery to a page that doesn't have it
Find leaked globals
https://github.com/paulirish/devtools-addons/wiki/Snippets
Many different filters such as larger-than and domain
Chrome will autocomplete the filters applicable to your data, so play around
The DevTools themselves are a web app that can be edited by opening DevTools on them if they are undocked!


--- layout: page title: About me css: "/css/aboutme.css" ---
Currently a Computer Vision consultant at NATO CMRE in La Spezia, Italy. I also serve as CEO and Computer Vision engineer for my company Transform And Lighting S.r.l. Previously, I was a research fellow at the Visual Computing Lab (ISTI-CNR) in Pisa.
I obtained my MSc and PhD in Computer Engineering from the University of Pisa. During my studies, I worked on a broad range of topics regarding both Computer Graphics and Computer Vision. See my publications page for more info.
I have worked on a wide variety of topics ranging from 3d rendering and geometry processing to 3D reconstruction and deep learning. Check out my projects page for more details.
My languages of choice are C++ and Python. I regularly work with lots of CV and CG frameworks and libraries like: OpenCV, TensorFlow, OpenGL, OpenMesh, CGAL and more.


Before Change
def _get_mxts_increments_for_inputs(self):
//self.reshaped_gamma and reshaped_std are created during
//the call to _build_activation_vars in _built_fwd_pass_vars
return self.get_mxts()*self.reshaped_gamma/self.reshaped_std
class Merge(ListInputMixin, Node):
After Change
(self.reshaped_gamma*(self.reshaped_gamma<0.0)/
(self.reshaped_std+self.epsilon)))
neg_mxts_increments = (
self.get_pos_mxts()*
(self.reshaped_gamma*(self.reshaped_gamma<0.0)/
(self.reshaped_std+self.epsilon))
+self.get_neg_mxts()*
(self.reshaped_gamma*(self.reshaped_gamma>0.0)/
(self.reshaped_std+self.epsilon)))
return pos_mxts_increments, neg_mxts_increments


- Pros
- Quality materials and assembly
- Reduced or non-existent wearing in period
- Tough but responsive sole
- Cons
- Leather isn’t for everyone
I bought these Scarpas in early spring 2016, for around £180 from GoOutdoors (from a physical shop for once!) and as far as I can see, they are the tough boots from the idiom. So far I’ve covered around 500 miles in them; wading through streams, walking over hills, climbing up mountains, stomping through snow, slogging through mud, and they have yet to let so much as a drop of water in. All the while they’ve provided a high level of comfort which I didn’t have to earn with a prolonged wearing in period, they fit comfortably right out of the shop.
Quality
The majority of the boot is covered in a 2.4-2.6mm leather, with a calf leather upper and tongue joint. Although a little stiff to begin with (as leather always is) creases wore in straight away at the ankle bend, providing that tailored fit that I have only ever experienced with leather boots. They have picked up a few cosmetic bramble scratches over the last year, while these haven’t even come close to affecting the boots performance, they have left me a little self conscious about further damage in a way I probably wouldn’t feel wearing boots with a synthetic construction.
The stitching, glue and general construction is all fantastic quality from what I have seen in the last 12 months, nothing has budged even a little bit. The sole has hardly aged at all, its deep tread still as effective as day one, and even the inner sole is in good condition; still springy albeit missing some surface colour from wear. The comfort level has only increased as I have worn them in, there have been no weak links when it comes to build and material quality.
Design
To compliment the great quality, Scarpa have realised a fantastic design to boot. They are a great mix of old and new boot style; comfortable, traditional calf and cow leather with hi-tech comfort inside and a Gore-tex waterproof lining, all topped off with a springy, bomb-proof, plastic sole. Having worn my pair in deep snow and at the height of summer without dampness creeping in and all sweat creeping out, I can say that the waterproofing and breathability of the Delta is fantastic. The laces will stay put all day even without a lace locking mechanism and although it’s quite tricky to get the tongue to stay in place to begin with, once you have worn them enough to mould the leather into place, lacing them up is a breeze.
The sole is springy and manages to feel surprisingly responsive for what is quite a large chunk of plastic, even with the very sturdy toe protector at the front. I’ve felt thoroughly connected to the earth in them almost all the time, these boots are definitely built to make you feel like Godzilla crashing down a hill, rather than a highly tuned and nimble hill walker.
The boots have what Scarpa calls “ActivFit”, which means Scarpa made the boot using a special ‘last’ which is the analogue for a human foot used to mould the inner padding. These hi-tech lasts apparently allow for a softer padding to be used inside the boot, and this abundance of soft cushioning is what makes the boots feel better than others right out of the box. The boots also feature a breathable memory foam innersole, which really doesn’t let you down when you find yourself standing for long periods of time eating lunch or waiting for others on the trail. Without knowing about any of these features at the time, I thought they felt better than all of the other boots I tried straight away and I have only had one incident with blisters, so apparently it all works.
Alternatives
The direct competitors in the 3 season leather boot range include the Mammut Brecon II, which costs ~£170 and the heavier Meindl Bhutan MFS, which costs ~£180. Reading reviews of the competition, I am not instilled with confidence the way I was approaching Scarpa; build quality issues aren’t what you want to hear when investing in something you want to last up to 5 years. There were actually several user reviews that included lines such as “never gonna last 10 years like my old Scarpas”, far reaching brand reputation for quality is always a good sign. From what I have seen, the alternative with the most to offer comes from the British company Anatom, their Braeriach 3 season boot costs only £144 and has been reviewed positively so far.
Final thoughts
With a regular oil and wax I can see these boots lasting me at least another 5 years, if they remain this comfortable I’d be happy to wear them all that time too. Insulative, grippy, comfortable and visually pleasing; they tick all the right boxes and support you in all the right places. I’ve recently seen them online as low as £160, so while not exactly a bargain, they are still very good value.
Rating 3/4
I’d definitely recommend them and would buy another pair in a heartbeat.


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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled


| WinAPI Wrapper |
WinAPI (Windows Application Programming Interface) was designed as an API for the C language. However, modern C++ language offers capabilities that make programming much simpler in than in C, such as simplified function calling for objects, auto object deallocation through destructor, default function argument values, etc. The following call is common to a Windows application written in C:
ShowWindow( hWnd, SW_SHOWNORMAL );
Suppose similar was possible in C++:
window.Show( SW_SHOWNORMAL );
or using default parameter (SW_SHOWNORMAL is the default):
window.Show();
The above C++ call is simplier than the equivalent C code. Because, for instance, all window functions in the WinAPI take handle to a window as the first parameter, we could easily convert them to C++. Now imagine what potential has the CreateWindowEx function in conjunction with default parameters! (Especially because it is very clumsy having 12 parameters).
The WinAPI Wrapper is a set of C++ classes that extend the Windows API into the C++ world. The Wrapper's classes are very light; they have only neccessary fields (for example the GenericWindow class has only one field: HWND) and almost all of their functions are inline and directly translate into actual WinAPI function calls.
The WinAPI Wrapper is not a replacement of or competition to the MFC (Microsoft Foundation Class) library. It is something very different, indeed. The WinAPI Wrapper makes the WinAPI a C++ API and does not provide any extra functionality nor it does not change any WinAPI functionality. The Wrapper enhances the process of creation of a Windows application using pure WinAPI. Instead of using the WinAPI in a regular way writing a C application, you can use the WinAPI Wrapper and write your application very quickly in C++, like you can do using MFC, but with almost no extra overhead.
This overview contains the following topics:


| |
Methods defined here:
- __init__(self, ip, addr)
- The constructor for the Laser class.
:param ip: IP address of GPIB-ETHERNET
:type ip: str
:param addr: GPIB address
:type addr: str
- checkerror(self)
- Check system errors in the Laser.
:return: error message
:rtype: str
- close(self)
- Close and delete connection of the Laser.
- connection_and_initialization(self)
- Open TCP connection to connection port of Laser IP address of GPIB-ETHERNET and initialize the Laser default
parameters:
- mode (str): Set mode as CONTROLLER.
- addr_GPIB (str): Set GPIB address.
- read_after_write (str): Turn off read-after-write to avoid "Query Unterminated" errors.
- read_timeout (str): Read timeout is 500 ms.
- eos_3 (str): Do not append CR or LF to GPIB data.
- eoi_1 (str): Assert EOI with last byte to indicate end of data.
- enable(self, ch, stat=False)
- Enable or Disable the Laser.
:param ch: channel
:type ch: int
:param stat: if True is enable otherwise is disable
:type stat: bool
- power(self, ch, power)
- Define the power in dBm.
- The range of power takes 6'03 to 14'50 dBm.
:param ch: channel
:type ch: int
:param power: power
:type power: float
- status(self, ch)
- Check and return the Laser configured parameters:
- Check status (enable/disable) and put it into the variable 'stat' (True/False).
- Check wavelength and put it into the variable 'wavelength' in nm.
- Check power and put it into the variable 'power' in dBm (-60 indicates DISABLED).
:param ch: channel
:type ch: int
:return: status, wavelength, power
:rtype: list
- test(self)
- Just as test, ask for instrument ID according to SCPI API.
:return: instrument ID (e.g NetTest, OSICS, 0, 3.01)
:rtype: str
- wavelength(self, ch, lambda0)
- Define the wavelength in nm.
- The range of wavelength takes 1527'55899 to 1565'544 nm.
:param ch: channel
:type ch: int
:param lambda0: wavelength
:type lambda0: float
Static methods defined here:
- configuration(ip, addr, channel, lambda0, power)
- Laser configuration:
- Set wavelength of the Laser.
- Set the power of the Laser.
- Check status, mode and power of the Laser and shows the values.
:param ip: IP address of GPIB-ETHERNET
:type ip: str
:param addr: GPIB address
:type addr: str
:param channel: channel
:type channel: int
:param lambda0: wavelength
:type lambda0: float
:param power: power
:type power: float
:return: status, wavelength and power
:rtype: list
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes defined here:
- buffer_size = 100
- connection_port = 1234
- connection_timeout = 1
- eoi_1 = '++eoi 1\n'
- eos_3 = '++eos 3\n'
- mode = '++mode 1\n'
- read_after_write = '++auto 0\n'
- read_eoi = '++read eoi\n'
- read_timeout = '++read_tmo_ms 500\n'
- time_sleep_enable = 5
|


{% extends "base.html" %} {% block title %}The Blue Alliance - Search{% endblock %} {% block meta_description %}Search for FIRST Robotics Competition teams, events, and matches.{% endblock %} {% block content %}


Data Science Learner
MSc Mathematics - BSc Mathematics, Statistics & Computer Application
Python.
Linear Regression, Decision tree, Random Forest and many more.
Data.


Deriving the Normal Equation
Consider a linear model
where
is a matrix of real numbers with as the number of samples (or rows), and is the number of features (or columns),
is a matrix (also called a vector) of coefficients , and
is a matrix of target variables per ith sample.
The normal equation is a matrix equation that allows you to solve above. By doing so, you can construct a linear regression model that allows you to predict the value of the target variable for any new samples. It is given by
The goal of the normal equation is to provide you with so that the cost function
is minimized.
You can find derivations of the normal equation on the internet, but most of them include a lot of handwaving and skip seemingly trivial, but actually tedious and crucial steps. I will derive it in this article.
Minimizing Using Vector Calculus
Recall back in calculus that to minimize a function, you simply take its derivative and set it to zero. We will do the same for the cost function. But first, we need to borrow some concepts from vector calculus.
The derivative of a vector is called a gradient, and is denoted by the symbol . We subscript the symbol with some variable to denote that we’re taking a vector’s derivative with respect to that variable. Thus, the derivative with respect to is simply .
Minimizing the cost function means taking its derivative with respect to and setting the result to zero:
We will use this equation to derive the normal equation.
Some Useful Theorems
In order to proceed with the derivation, we’re gonna need the help of some theorems. You can find these as well in any proper vector calculus textbook. Let , , and be matrices. The two theorems we will use are the following:
where the trace of a matrix is just the sum of its diagonal elements.
If we set the matrix as the identity matrix in the second theorem above, we simply get
By setting , we get
due to the fact that the trace of a matrix is a function that maps from to . Taking the transpose of the last equation and noting that , we get
But the left-hand side of the equation is just the first theorem. Thus, we have
We can finally proceed with our derivation.
All Together Now
Let’s take the gradient of with respect to
The term on the right side is a real number. This indicates that the whole term in the parentheses is some function that maps to a real number. If we use the fact that the trace of a real number is just itself, and that , we get
The term has vanished because it’s treated as a constant when we’re taking the gradient with respect to .
We are now left with
If we use our derived theorem above () and substitute as follows,
we should get
Since , we finally have
which is the normal equation. How cool is that! :)


|
#!/usr/bin/env python3
"""
Flask API Server
"""
import sys
import os
import re
import logging
from logging.handlers import RotatingFileHandler
import configparser
from flask import Flask, jsonify, request, g, make_response
from flask_httpauth import HTTPBasicAuth
from flask_limiter import Limiter
from flask_limiter.util import get_remote_address
from flask_sqlalchemy import SQLAlchemy
__version__ = "0.0.1"
logger = logging.getLogger(__name__)
# Populated from config file
debug = 0
# Flask Limits for Safety
flask_limits = ["1000 per day", "100 per hour", "5 per minute"]
def override_config(cfg):
""" Override/Add config file variables from environment
Note: Only adds variables if [section] exists
"""
for en in os.environ:
oride = re.search(r"^RASTREA2R_([a-zA-Z]+)_(\w+)", en)
35 ↛ 36line 35 didn't jump to line 36, because the condition on line 35 was never true if oride:
if oride.group(1) in cfg:
# print('RASTREA2R Override', oride.group(1), oride.group(2), os.environ[en])
cfg[oride.group(1)][oride.group(2)] = os.environ[en]
return cfg
# Initialize Configuration
config_file = "rastrea2r.ini"
# Environment Override
47 ↛ 48line 47 didn't jump to line 48, because the condition on line 47 was never trueif "RASTREA2R_config_file" in os.environ:
config_file = os.environ["RASTREA2R_config_file"]
config = configparser.ConfigParser()
config.read(config_file)
# Override config file from environment variables
config = override_config(config)
# Check for sane config file
58 ↛ 59line 58 didn't jump to line 59, because the condition on line 58 was never trueif "rastrea2r" not in config:
print("Could not parse config file: " + config_file)
sys.exit(1)
# Logging Configuration, default level INFO
logger = logging.getLogger("")
logger.setLevel(logging.INFO)
lformat = logging.Formatter("%(asctime)s %(name)s:%(levelname)s: %(message)s")
# Debug mode Enabled
68 ↛ 74line 68 didn't jump to line 74, because the condition on line 68 was never falseif "debug" in config["rastrea2r"] and int(config["rastrea2r"]["debug"]) != 0:
debug = int(config["rastrea2r"]["debug"])
logger.setLevel(logging.DEBUG)
logging.debug("Enabled Debug mode")
# Enable logging to file if configured
74 ↛ 82line 74 didn't jump to line 82, because the condition on line 74 was never falseif "logfile" in config["rastrea2r"]:
lfh = RotatingFileHandler(
config["rastrea2r"]["logfile"], maxBytes=(1048576 * 5), backupCount=3
)
lfh.setFormatter(lformat)
logger.addHandler(lfh)
# STDOUT Logging defaults to Warning
82 ↛ 83line 82 didn't jump to line 83, because the condition on line 82 was never trueif not debug:
lsh = logging.StreamHandler(sys.stdout)
lsh.setFormatter(lformat)
lsh.setLevel(logging.WARNING)
logger.addHandler(lsh)
# Create Flask APP
app = Flask(__name__)
app.config.from_object(__name__)
app.config.update(
dict(
DATABASE=os.path.join(app.root_path, config["rastrea2r"]["database"]),
SQLALCHEMY_DATABASE_URI="sqlite:///"
+ os.path.join(app.root_path, config["rastrea2r"]["database"]),
SQLALCHEMY_TRACK_MODIFICATIONS=False,
)
)
# Auth module
auth = HTTPBasicAuth()
# Database module
db = SQLAlchemy(app)
# Apply Rate limiting
limiter = Limiter(app, key_func=get_remote_address, global_limits=flask_limits)
# Not Required with SQLAlchemy
# @app.teardown_appcontext
# def close_db(error):
# """Closes the database again at the end of the request."""
# db.remove()
# Safe circular imports per Flask guide
import rastrea2r_server.errors
import rastrea2r_server.services
import rastrea2r_server.user
|


Guidance
Guidance on formats and timings for submitting data to Ofqual.
Ref: Ofqual/17/6143 PDF , 838KB , 14 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
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We collect a wide range of data about regulated qualifications, from which we produce official and national statistics reports.
The documents on this page provide guidance if you work for an organisation which provides data to Ofqual. They describe the format and requirements for each of the data collections we run.
Data should be sent to us using our secure FTP site. Details on how to connect to our FTP site are provided in an attached document.
You will also find a timetable detailing the schedule of data collection for awarding organisations with both vocational and general qualifications as well as a separate timetable for awarding organisations with vocational qualifications only.
Published: 23 March 2016
Updated: 20 January 2017
From: Ofqual


| 0 In this segment we develop some consequences of the independence assumption that we have made on the trials that constitute a Bernoulli process. 254 |
|
| 254 These properties will be pretty intuitive, but they play an important role. 426 |
|
| 426 They're helpful in solving problems, and they're also quite helpful in understanding the continuous time version of the Bernoulli process, namely the Poisson process that we will be studying later. 739 |
|
| 739 So here's the story. 798 |
|
| 798 We start with a Bernoulli processes with some parameter p. 940 |
|
| 940 The process starts. 1065 |
|
| 1065 A friend of yours watches the processes, and they observe the results of the different trials, let's say for five time steps. 1352 |
|
| 1352 And at this time, right after time five, they call you into the room, and you start watching the rest of the process. 1726 |
|
| 1726 What will you see? The first random variable that you will see is the result of whatever happens in this time slot, which is the sixth slot of the original process. 2116 |
|
| 2116 The second random variable that you will see is the result of the seventh random variable in the original process, and so on. 2400 |
|
| 2400 So the process that you get to see is the process Yi, where i ranges over the non-negative integers. 2697 |
|
| 2697 What properties does this process have? Because of the assumption that the different trials are independent, this means that the first five trials are independent from the trials that happen after time five. 3113 |
|
| 3113 So one property is that the process is Yi is independent of whatever happens in the past, which is X1 up to X5. 3574 |
|
| 3574 Second, the random variable that you see, X6, X7, and so on, are independent Bernoulli random variables with parameter p. 3911 |
|
| 3911 So the random variables Yi constitute also a Bernoulli process with parameter p. 4128 |
|
| 4128 So the process that you get to see, which is the sequence of trials after time five, is identical, probabilistically, to a Bernoulli process with parameter p like the process Xi. 4654 |
|
| 4654 So it's as if a Bernoulli process was just starting fresh at this particular time. 4814 |
|
| 4814 And because of this, we say that the process has a fresh-start property after a certain time. 5073 |
|
| 5073 In this example, we used 5 as the certain time, but instead of 5, we could have any particular integer little n, in which case our process Y1 starts with Xn plus 1, continues with Xn plus 2 and so on. 5661 |
|
| 5661 And here, instead of X5, we would have written Xn. 5767 |
|
| 5767 So after a deterministic time n, what you see is the same as if we had a Bernoulli process that was starting fresh at this particular time, and which is also independent from whatever happened in the past. 6248 |
|
| 6248 Let us now complicate the story a little bit. 6370 |
|
| 6370 Suppose that your friend watches the Bernoulli process, and they keep watching it until a success is observed for the first time. 6714 |
|
| 6714 Right at that time, they call you into the room, and you started watching the rest of the process. 6943 |
|
| 6943 This is the length of time that we have called T1, the number of trials until the first success. 7138 |
|
| 7138 So what is it that you will be watching? The first random variable that you will see is what happens in slot T1 plus 1. 7446 |
|
| 7446 The second random variable that you will see is what happened in slot T1 plus 2, and so on. 7724 |
|
| 7724 And this defines, again, a process, the sequence of the Yi's This is what you will see starting from this particular time. 8043 |
|
| 8043 What kind of process is it? Well, these trials happened in the past. 8224 |
|
| 8224 We know what they were. 8275 |
|
| 8275 But no matter what they were, the future trials will still be independent of the past, and each one of the trials will have probability p of being a success. 8630 |
|
| 8630 So the properties that we have, again, is that the trials that you see are independent of the past, which in this case is everything from x1 up to time xT1. 9159 |
|
| 9159 And what you see is a Bernoulli process. 9275 |
|
| 9275 We describe the situation by saying that the process starts fresh after time T1. 9508 |
|
| 9508 And by this, again, we mean that if you start watching the process right after T1, what you will see will be a Bernoulli process which is independent from whatever happened in the past. 9944 |
|
| 9944 Having just argued that the process starts of the first success, we can now ask why whether such a property is also true more generally. 10327 |
|
| 10327 That is, if we start watching the process at some random time n, will the process start fresh at that time? Let us look at some additional examples. 10731 |
|
| 10731 Suppose that capital N is the time of the third success. 10848 |
|
| 10848 So your friend watches the Bernoulli process, and each time, they say, did the third success occur? Not yet. 11133 |
|
| 11133 Not yet. 11158 |
|
| 11158 Not yet. 11188 |
|
| 11188 Not yet. 11229 |
|
| 11229 Yes, the third success just occurred. 11315 |
|
| 11315 And at that time, they call you into the room and you start to watching what happens from that time on. 11522 |
|
| 11522 What will you be seeing? After that time, there will be independent Bernoulli trials that take place. 11789 |
|
| 11789 And these refer to the future of the process, looking at [it] from this particular point in time. 11987 |
|
| 11987 And the future is independent from whatever happened in the past. 12118 |
|
| 12118 So what you actually see is, indeed, a fresh Bernoulli process that starts here and which is independent from the random variables that occurred in the past. 12430 |
|
| 12430 Let us look at another example. 12510 |
|
| 12510 Let capital N be the first time that three successes in a row have been recorded. 12706 |
|
| 12706 So your friend, again, watches the process. 12836 |
|
| 12836 And they ask each time, did we see three success in a row? Not yet. 12997 |
|
| 12997 Not yet. 13034 |
|
| 13034 Not yet. 13065 |
|
| 13065 Not yet. 13099 |
|
| 13099 Not yet. 13132 |
|
| 13132 Yes. 13171 |
|
| 13171 I just saw three successes in a row. 13241 |
|
| 13241 And now your friend calls you in, and you start watching the process from this point in time. 13436 |
|
| 13436 By the same argument as before, whatever happens in the future is going to be Bernoulli trials that are independent from the past, so you will, again, have a fresh-start property starting from this time. 13812 |
|
| 13812 So in both cases, formally, what we have is that the process that you get to observe starting after time capital N, after the time that you're called and asked to start watching, what you will see is going to be a sequence of independent Bernoulli trials, that is, a Bernoulli process. 14433 |
|
| 14433 And this sequence of future trials is independent from whatever happened in the past of the process. 14631 |
|
| 14631 What both of these examples have in common is that the random variable N, the time at which you're called in, is causally determined from the history of the process. 15045 |
|
| 15045 What does that mean? It means that somebody is watching the process, and at each point in time, based on what they have seen so far, they decide whether to call you in or not. 15481 |
|
| 15481 What would be an example of a non-causal time N? Here it is. 15720 |
|
| 15720 N could be the time just before the first occurrence of 1, 1, 1. 15892 |
|
| 15892 So in this example here, you would be called into the room and start watching at this time. 16153 |
|
| 16153 So your friend somehow knows is going to occur and calls you just before it happens. 16463 |
|
| 16463 How could that be? Well, imagine that the Bernoulli process actually was run yesterday. 16691 |
|
| 16691 It was recorded in a movie. 16741 |
|
| 16741 Your friend has seen the movie, so knows everything that's going to happen. 16852 |
|
| 16852 And so, when the movie is replayed today, your friend can call you in at this time and tell you, you know, something very interesting is about happen. 17115 |
|
| 17115 Come in and start watching. 17177 |
|
| 17177 Now, what will you be watching? What you will watch will be 1, 1, 1, with certainty. 17473 |
|
| 17473 You're certain that the first three trials that you will see will be 1's. 17616 |
|
| 17616 And, well, the subsequent one's will be random. 17706 |
|
| 17706 But since you know that the first three trials will be 1, this means that statistically, they're not described by the statistics of a Bernoulli process. 18035 |
|
| 18035 In a Bernoulli process, each trial and the probability of being 0. 18213 |
|
| 18213 But since, in your case, you're certain to watch 1's in the beginning, this means that the random variables that you see do not conform to the description of a Bernoulli process. 18591 |
|
| 18591 So this is an example in which N is not causally determined. 18794 |
|
| 18794 And in this example, you do not to get to see a Bernoulli process. 19032 |
|
| 19032 We do not have the fresh-start property. 19130 |
|
| 19130 What happened here is more generally true. 19256 |
|
| 19256 We do have a fresh-start property, but not always. 19390 |
|
| 19390 We have it under the assumption that the time at which you're asked to start watching is determined from the past history of the process in some causal manner. 19690 |
|
| 19690 This is a general fact that can be established rigorously. 19823 |
|
| 19823 However we will not go through a formal mathematical derivation. 19945 |
|
| 19945 The formal argument for the most general case involves somewhat tedious symbol manipulations that do not provide any additional insight. 20255 |
|
| 20255 However, the intuition behind this result should be fairly clear, and we will use it freely whenever we need it. 20499 |
|
| 20499 20550 |


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Football: Ozil, Kolasinac attacker jailed for 10 years
LONDON: An armed mugger has been jailed for 10 years after attempting to rob Arsenal duo Mesut Ozil and Sead Kolasinac of luxury watches worth £200,000 (US$257,000, 231,000 euros).
Harrow Crown Court heard that Ashley Smith and his accomplice did not count on the bravery of Bosnian defender Kolasinac in fighting back during the attack in London in July.
Ozil then drove them from the ambush as the would-be robbers pursued them on a stolen moped and threw stones, the court heard.
Smith, 30, was described by judge Ian Bourne QC as a prolific "career criminal" who was well known to police.
A second man, Jordan Northover, has also pleaded guilty to the attempted robbery just feet from Kolasinac's home, and will be sentenced at a later date.
Smith and Northover were "armed and dangerous" with a knitting needle and a pointed screwdriver as weapons, according to the judge.
"Between them they produced these weapons which they threatened Mr Kolasinac with, a long pointed blade which was thrust in the victim's direction and made contact with him.
"The two of them had not counted on Mr Kolasinac fighting back and he behaved incredibly bravely."
The court heard that footage showed Kolasinac attempting to engage with the culprits, but he was able to get in the car which was then driven away by Ozil.
Both players and Ozil's wife were able to flee despite being pursued by the defendants, who threw stones at the car.
Officers were able to trace the defendants and arrest them after a member of the public later saw the moped being parked in Boreham Wood and called police.
The judge stated that Smith has "an appalling criminal record" of 20 convictions from 38 offences dating back to when he was 14 years old.


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We regularly update the CLI to add new features and to fix issues. It is therefore important to keep both the CLI and the Docker images that the CLI uses up-to-date.
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Gastly is a real prankster. He loves to scare people and Pokemon. Due to the special structure and color of the body, he can hide in any dark nook and jump out of there.
But Gastly does this not out of malice, he just loves to have fun and play. If you scold him, then he even becomes ashamed. And Gastly himself is not so difficult to scare.


EUR/USD sits at weekly tops above 1.1050, eyes on ECB-speak, trade
by Dhwani Mehta- EUR/USD buoyed by USD, T-yields weakness amid trade uncertainty.
- Bulls could face rejection at 100-DMA near 1.1095 in the short-term.
- ECB-speak, Buba monthly report and trade developments next of note.
EUR/USD is seen building on its last week’ s recovery above the 1.1050 level, having hit weekly highs at 1.1065 on mild US dollar weakness across the board. The bulls consolidate the latest uptick, awaiting fresh trading impetus heading into the European open.
EUR/USD: 50-DMA at 1.1042 could cap the immediate downside
The shared currency continues to keep the upper edge against the US dollar for the third straight day on Monday, as a lack of clear signals on the likely US-China trade deal combined with mixed US fundamentals continue to weigh on the US Treasury yields, in turn leaving the greenback depressed vs. its main rivals.
Despite the recent optimistic comments from the both the US and Chinese officials, uncertainty still prevails whether both sides will reach the Phase One of the trade deal or if the US will refrain from the Dec 15 tariff hike. Therefore, the market mood remains dampened, weighing on the risk assets such as the Treasury yields.
On the EUR-side of the equation, the Eurozone October inflation came in as expected, up by 0.7% YoY and core CPI up by 1.1%, which supported the ongoing upbeat momentum in the common currency.
Looking ahead, the bulls target the 100-DMA now located at 1.1093 should the recovery momentum extend. On the flip side, the 50-DMA at 1.1042 could guard the downside if the ECB speakers bolster dovish expectations. However, the US-China trade developments will continue to remain the main market driver.
EUR/USD Technical levels to consider
EUR/USD
| Overview | |
|---|---|
| Today last price | 1.1060 |
| Today Daily Change | 0.0005 |
| Today Daily Change % | 0.05 |
| Today daily open | 1.1055 |
| Trends | |
|---|---|
| Daily SMA20 | 1.1087 |
| Daily SMA50 | 1.1042 |
| Daily SMA100 | 1.1098 |
| Daily SMA200 | 1.118 |
| Levels | |
|---|---|
| Previous Daily High | 1.1058 |
| Previous Daily Low | 1.1014 |
| Previous Weekly High | 1.1058 |
| Previous Weekly Low | 1.0989 |
| Previous Monthly High | 1.118 |
| Previous Monthly Low | 1.0879 |
| Daily Fibonacci 38.2% | 1.1042 |
| Daily Fibonacci 61.8% | 1.1031 |
| Daily Pivot Point S1 | 1.1027 |
| Daily Pivot Point S2 | 1.0999 |
| Daily Pivot Point S3 | 1.0983 |
| Daily Pivot Point R1 | 1.1071 |
| Daily Pivot Point R2 | 1.1087 |
| Daily Pivot Point R3 | 1.1115 |


I had the pleasure of speaking on two excellent podcasts:
OurSQL
No need for me to introduce this podcast. I just have to say it was only when I interviewed that I realized the amount of work taken for producing one single cast. Kudos to Sheeri & Gerry and Rich Goyette the sound producer and thank you for your kind hospitality!
You can find the cast on OurSQL Episode 129: New and Extended, where we speak about the upcoming Percona Live MySQL Conference & Expo, 2013.
Reversim
This is an Israeli, Hebrew speaking podcast, and is undoubtedly the queen of Software Development podcasts here. Run by two enthusiast, veteran, open source keen developers, this is a must hear podcast if your Hebrew isn't rusty ;) Thanks Ori & Ran for having me again!
I was honored to be interviewed for the 3rd time there, again speaking about MySQL and its ecosystem. In this recent podcast, I speak about the new 5.6 release, highlighting some features; about MariaDB; the Galera cluster technology; LGPL connectors; Percona Live 2013.
Find the cast on the reversim website: 171 MySQL 5.6
My next speaking event will be at the conference itself; more on that later.
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