Standard time-series outputs¶
The log outputs controls the output of all the default time series of the file: kinetic and magnetic energies (e_kin.TAG, e_mag_oc.TAG and e_mag_ic.TAG files), dipole information (dipole.TAG file), rotation (rot.TAG) parameters (par.TAG) and various additional diagnostics (heat.TAG):
n_log_step (default
n_log_step=50
) is an integer. This is the number of timesteps between two log outputs.Warning
Be careful: when using too small
n_log_step
, the disk access will dramatically increases, thus decreasing the code performance.
n_logs (default
n_logs=0
) is an integer. This is the number of log-information sets to be written.
t_log (default
t_log=-1.0 -1.0 ...
) is real array, which contains the times when log outputs are requested.
dt_log (default
dt_log=0.0
) is a real, which defines the time interval between log outputs.
t_log_start (default
t_log_start=0.0
) is a real, which defines the time to start writing log outputs.
t_log_stop (default
t_log_stop=0.0
) is a real, which defines the time to stop writing log outputs.
Restart files¶
The rst outputs controls the output of restart files (checkpoint_t_#.TAG) (i.e. check points in time from which the code could be restarted):
n_rst_step (default
n_rst_step=0
) is an integer. This is the number of timesteps between two restart files.
n_rsts (default
n_rsts=1
) is an integer. This is the number of restart files to be written.
t_rst (default
t_rst=-1.0 -1.0 ...
) is real array, which contains the times when restart files are requested.
dt_rst (default
dt_rst=0.0
) is a real, which defines the time interval between restart files.t_rst_start (default
t_rst_start=0.0
) is a real, which defines the time to start writing restart files.t_rst_stop (default
t_rst_stop=0.0
) is a real, which defines the time to stop writing restart files.n_stores (default
n_stores=0
) is an integer. This is another way of requesting a certain number of restart files. However, instead of creating each time a new restart file, ifn_stores > n_rsts
the restart file is overwritten, which can possibly help saving some disk space.
Warning
The rst
files can become quite big and writting them too frequently will slow down the code. Except for very special use, the default set up should be sufficient.
Graphic files¶
The graph outputs controls the output of graphic files (G_#.TAG) which contain a snapshot the entropy, the velocity field and the magnetic fields:
n_graph_step (default
n_graph_step=0
) is an integer. This is the number of timesteps between two graphic files.
n_graphs (default
n_graphs=1
) is an integer. This is the number of graphic files to be written.
t_graph (default
t_graph=-1.0 -1.0 ...
) is real array, which contains the times when graphic files are requested.
dt_graph (default
dt_graph=0.0
) is a real, which defines the time interval between graphic files.
t_graph_start (default
t_graph_start=0.0
) is a real, which defines the time to start writing graphic files.
t_graph_stop (default
t_graph_stop=0.0
) is a real, which defines the time to stop writing graphic files.
Spectra¶
The spec outputs controls the output of spectra: kinetic energy spectra (kin_spec_#.TAG), magnetic energy spectra (mag_spec_#.TAG) and thermal spectra (T_spec_#.TAG):
n_spec_step (default
n_spec_step=0
) is an integer. This is the number of timesteps between two spectra.
n_specs (default
n_specs=0
) is an integer. This is the number of spectra to be written.
t_spec (default
t_spec=-1.0 -1.0 ...
) is real array, which contains the times when spectra are requested.
dt_spec (default
dt_spec=0.0
) is a real, which defines the time interval between spectra.
t_spec_start (default
t_spec_start=0.0
) is a real, which defines the time to start writing spectra.
t_spec_stop (default
t_spec_stop=0.0
) is a real, which defines the time to stop writing spectra.
l_2D_spectra (default
l_2D_spectra=.false.
) is a logical. When set to.true.
, this logical enables the calculation of 2-D spectra in the \((r,\ell)\) and in the \((r,m)\) parameter spaces. Those data are stored in the files named 2D_[mag|kin]_spec_#.TAG.
Movie files¶
The movie outputs controls the output of movie files (*_mov.TAG).
Specific inputs¶
l_movie (default
l_movie=.false.
) is a logical. It needs to be turned on to get movie computed.Several movie-files can be produced during a run (it is now limited to 30 by the variable
n_movies_max
in the modulemovie
). The movies are defined by a keyword determining the fields to be plotted and an expression that determines the nature of movie (\(r\)-slice, \(\theta\)-slice, \(\phi\)-slice, etc.). The code searches this information in a character string provided for each movie. These strings are elements of the array movie:
movie (default
movie=' ', ' ', ...
) is a character string array. It contains the description of the movies one wants to compute.For example, to invoke a movie(file) that shows (stores) the radial magnetic component of the magnetic field at the CMB, you have to provide the line
movie(1)="Br CMB",
in the &output namelist. Here,
Br
is the keyword for the radial component of the magnetic field andCMB
is the expression that defines the movie surface. If, in addition, a movie of the temperature field at the meridional slicephi=0
and a movie of the \(z\)-vorticity in the equatorial plane are desired, the following line have to be added:movie(2)="Temp phi=0", movie(3)="Vortz eq",
Note that the code does not interpret spaces and ignores additional characters that do not form a keyword or a surface definition. Thus, for example
Br
orB r
orBradial
are all interpreted as the same keyword. Furthermore, the interpretation is not case-sensitive. The following table gives the possible keywords for movie calculations and their corresponding physical meaning:Keyword
Fields stored in movie file
Br[radial]
Radial component of the magnetic field \(B_r\).
Bt[heta]
Latitudinal component of the magnetic field \(B_\theta\).
Bp[hi]
Azimuthal component of the magnetic field \(B_\phi\).
Bh[orizontal]
The two horizontal components of the magnetic field.
Bs
Cylindrically radial component of the magnetic field \(B_s\).
Ba[ll]
All magnetic field components.
Fieldline[s] or FL
Axisymmetric poloidal field lines in a meridional cut.
AX[ISYMMETRIC] B or AB
Axisymmetric phi component of the magnetic field for \(\phi=cst.\)
Vr[adial]
Radial component of the velocity field \(u_r\).
Vt[heta]
Latitudinal component of the velocity field \(u_\theta\).
Vp[hi]
Azimuthal component of the velocity field \(u_\phi\).
Vh[orizontal]
Horizontal velocity field, two components depending on the surface.
Va[ll]
All velocity field components.
Streamline[s] or SL
Field lines of axisymmetric poloidal field for \(\phi=cst.\)
AX[ISYMMETRIC] V or AV
Axisymmetric component of the velocity field for \(\phi=cst.\)
Vz
Vertical component of the velocity \(u_z\).
Vs
Cylindrical radil component of the velocity \(u_s\).
Voz
Vertical component of the vorticity \(\omega_z\).
Vor
Radial component of the vorticity \(\omega_r\).
Vop
Azimuthal component of vorticity \(\omega_\phi\)
Tem[perature] or Entropy
Temperature/Entropy
Entropy (or Tem[perature]) AX[ISYMMETRIC] or AT
Axisymmetric temperature/entropy field for \(\phi=cst.\)
Heat t[ransport]
Radial advection of temperature \(u_r\frac{\partial s}{\partial r}\)
HEATF AX[iSYMMETRIC]
Conducting heat flux \(\partial s /\partial r\)
Voz geos
Vertical component of the vorticity \(\omega_z\) averaged over the rotation axis.
Vs geos
Cylindrical radial component of the velocity \(u_s\) averaged over the rotation axis.
Vp geos
Azimuthal component of the velocity \(u_\phi\) averaged over the rotation axis.
FL Pro
Axisymmetric field line stretching.
FL Adv
Axisymmetric field line advection.
FL Dif
Axisymmetric field line diffusion.
AB Pro
Toroidal axisymmetric field production.
AB Dif
Toroidal axisymmetric field diffusion.
Br Pro
Production of radial magnetic field \(B_r\).
Br Adv
Advection of radial magnetic field \(B_r\).
Br Dif
Diffusion of radial magnetic field \(B_r\).
Jr
Radial component of the current \(j_r\).
Jr Pro
Production of radial current + \(\Omega\)-effect.
Jr Adv
Advection of the radial component of the current \(j_r\).
Jr Dif
Diffusion of the radial component of the current \(j_r\).
Bz Pol
Poloidal part of vertical component of the magnetic field \(B_z\).
Bz Pol Pro
Production of the poloidal part of the vertical component of the magnetic field \(B_z\).
Bz Pol Adv
Advection of the poloidal part of the vertical component of the magnetic field \(B_z\).
Bz Pol Dif
Diffusion of the poloidal part of the vertical component of the magnetic field \(B_z\).
Jz Tor
Toroidal part of the vertical component of the current (\(j_z\)).
Jz Tor Pro
Production of the toroidal part of the vertical component of the current \(j_z\).
Jz Tor Adv
Advection of the toroidal part of the vertical component of the current \(j_z\).
Jz Tor Dif
Diffusion of the toroidal part of the vertical component of the current \(j_z\).
Bp Tor
Toroidal part of the azimuthal component of the magnetic field \(B_\phi\).
Bp Tor Pro
Production of the toroidal part of the azimuthal component of the magnetic field \(B_\phi\).
Bp Tor Adv
Advection of the toroidal part of the azimuthal component of the magnetic field \(B_\phi\).
Bp Tor Dif
Diffusion of the toroidal part of the azimuthal component of the magnetic field \(B_\phi\).
HEL[ICITY]
Kinetic helicity \({\cal H}=\vec{u}\cdot(\vec{\nabla}\times\vec{u})\)
AX[ISYMMETRIC HELICITY] or AHEL
Axisymmetric component of the kinetic helicity.
Bt Tor
Toroidal component of the latitudinal component of the magnetic field \(B_\theta\).
Pot Tor
Toroidal potential.
Pol Fieldlines
Poloidal fieldlines.
Br Shear
Azimuthal shear of the radial component of the magnetic field \(B_r\)
Lorentz[force] or LF
Lorentz force (only \(\phi\)-component).
Br Inv
Inverse field apperance at CMB.
The following table gives the possible surface expression for movie calculations and their corresponding physical meaning:
Surface expression
Definition
CMB
Core-mantle boundary
Surface
Earth surface
EQ[uatot]
Equatorial plane
r=radius
Radial cut at r=radius with radius given in units of the outer core radius.
theta=colat
Latitudinal cut at theta=colat given in degrees
phi=phiSlice
Azimuthal cut ath phi=phiSlice given in degrees.
AX[isymmetric]
Axisymmetric quantity in an azimuthal plane
3D
3D array
Here is an additional example of the possible combinations to build your desired
movie
files.l_movie = .true., movie(1) = "Br CMB", movie(2) = "Vr EQ", movie(3) = "Vortr r=0.8", movie(4) = "Bp theta=45", movie(5) = "Vp phi=10", movie(6) = "entropy AX", movie(7) = "vr 3D",
Standard inputs¶
n_movie_step (default
n_movie_step=0
) is an integer. This is the number of timesteps between two movie outputs.n_movies (default
n_movies=1
) is an integer. This is the number of movie outputs to be written.
t_movie (default
t_movie=-1.0 -1.0 ...
) is real array, which contains the times when movie outputs are requested.
dt_movie (default
dt_movie=0.0
) is a real, which defines the time interval between movie outputs.t_movie_start (default
t_movie_start=0.0
) is a real, which defines the time to start writing movie outputs.t_movie_stop (default
t_movie_stop=0.0
) is a real, which defines the time to stop writing movie outputs.
Field Averages¶
The code can perform on-the-fly time-averaging of entropy, velocity field and magnetic field. Respective graphic output and spectra are written into the corresponding files (with G_ave.TAG, kin_spec_ave.TAG, mag_spec_ave.TAG). The time-averaged energies are written into the log.TAG file.
l_average (default
l_average=.false.
) is a logical, which enables the time-averaging of fields when set to.true.
.Warning
Time-averaging has a large memory imprint as it requires the storage of 3-D arrays. Be careful, when using large truncations.
l_spec_avg (default
l_spec_avg=.false.
) is a logical, which enables the time-averaging of spectra when set to.true.
. It is always set to.true.
, if l_average=.true..


{% block body_block %}
{% endblock %}
Copyright © 2019 Feeding Canadian Kids. All rights reserved.
{% load staticfiles %}
{% block head_title %} {% endblock %} {% include './partials/includes-header.html' %}Copyright © 2019 Feeding Canadian Kids. All rights reserved.


FINDFS
Section: MAINTENANCE COMMANDS (8)Updated: February 2009
Index Return to Main Contents
NAME
findfs - Find a filesystem by label or UUIDSYNOPSIS
findfs LABEL=labelDESCRIPTION
findfs will search the disks in the system looking for a filesystem which has a label matching label or a UUID equal to uuid. If the filesystem is found, the device name for the filesystem will be printed on stdout.AUTHOR
findfs was originally written by Theodore Ts'o<EMAIL_ADDRESS>and re-written for util-linux-ng package by Karel Zak (kzak@redhat.com).AVAILABILITY
The findfs command is part of the util-linux-ng package and is available from ftp://ftp.kernel.org/pub/linux/utils/util-linux-ng/.SEE ALSO
blkid(8) fsck(8)
Index
This document was created by man2html, using the manual pages.
Time: 05:34:25 GMT, December 24, 2015


Consider the following SLang 1 expression:
expression
Convert this expression to an equivalent expression containing no let expressions. Type your answer below:
If needed, review the general pattern for converting any let expression into an equivalent function call.
Notice how nested let expressions translate into nested function calls.
When writing a syntactically correct SLang 1 program, make sure to match opening and closing parentheses.
hint4


X Factor: Celebrity: Try Star's Levi Davis hits back as angry audience turns on V5
He had nothing but respect for the victors
by Richard BellRugby ace Levi Davis was forced to hit back at members of the audience on The X Factor: Celebrity as they turned on girlband V5.
At the end of Saturday's (23.11.19) episode, group acts Try Star and V5 found themselves fighting for their places in the competition in the Sing Off.
After both groups sang their hearts out, V5 were saved while Try Star members Thom Evans, Levi Davis and Ben Foden were eliminated at the home stretch.
Host Dermot O'Leary approached the lads to get their take on the result, which must have been disappointing for them - given the positive reactions their initial performance got from the audience, judges and viewers at home.
Dermot held the mic to Levi, who could barely be heard over a crescendo of angry boos from the furious crowd.
"It's been amazing. We literally cannot thank you guys enough," Levi said, struggling to speak over all the noise.
Offering a few kind words to the victors, he added: "V5 are awesome guys, it's been great..."
Levi then hit back at the audience and called for the boos to stop.
He said: "Don't boo 'em, clap 'em! Come on."
Trying to placate the angry crowd, which continued to flood the arena with boos, he continued: "We love it. They're great. We've had a great experience. It's been amazing."
Elsewhere in the penultimate episode of the series, viewers were baffled by Nicole Scherzinger's voice.
A number of fans of the show on Twitter thought the former Pussycat Doll sounded completely different to how she normally speaks when she sits on the judging panel.
Nicole wasn't the only judge to leave viewers scratching their heads, as Simon also caused a stir with his appraisal of actor Vinnie Jones' performance.
Read more: Robbie Williams hints that he's too 'expensive' to return to The X Factor
The former footballer put on a well and truly explosive semi-final show, shouting (I've Had) The Time Of My Life from the film Dirty Dancing as he pranced around the stage.
Viewers branded it an "assault" on the ears but Simon spoke positively about the performance - and was so at odds with fans that some even called for him to be 'banned from TV'.
Are you looking forward to the final? Leave us a comment on our Facebook page @EntertainmentDailyFix and let us know what you think.


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The PDMA intends to create a widely accessible database of all diseases to assist in decision-making and provide assistance in case of an outbreak.


17 arrested in Florida child porn sting; 2 worked for Disney
WINTER HAVEN, Fla. (AP) - Authorities in central Florida say two Disney workers and a former assistant principal at a middle school were among 17 arrested in a child porn sting.
In a news release , Polk County Sheriff Grady Judd said Friday that the 17 men arrested range in age from 19 to 77.

Investigators say 40-year-old Brett Kinney of Lake Alfred told officers he had an addiction to child pornography and worked as a guest experience manager at Disney World.
In a statement, Disney says Kinney is no longer employed by the company and Durr is on unpaid leave.
It’s unclear if either has an attorney who could comment on the charges.
Information from: The Ledger (Lakeland, Fla.), http://www.theledger.com
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One of the great things about NPR’s API is that it is well-designed and heavily documented. NPR provides a majority of the information needed to extract data through their website, http://www.npr.org/api/index. The website provides several useful tools for navigating the API, including a “Query Builder” tool. Most importantly however, the homepage has a link where you can get assigned an API key. Once you have an API key, you’ll need to figure out the content for the url that will allow you to access the exact data you’re looking for. The Query Builder mentioned earlier is designed for exactly this purpose.  The API’s default output is a format called NPRML, which is a custom output. However, it is relatively straightforward to convert to a more standard output like JSON. To control the output type, include the variable “&format=” to the URL like this:
Now that your outputs are set up, the next step is setting up python to read in the results and output them in a way that’s helpful. With the NPR API, the output features nested lists and dictionaries, which can be challenging when trying to extract data. We have drafted up a few examples of how to parse the JSON and export it in a one-row-per-story format. You can try a few from our Github to experiment with how to access the nested data.
API data returned in JSON can be converted into a Python Pandas dataframe for data analysis and visualization. This can be done in 2 ways:
In our example using the NPR API, our API call returned lots of data, but we were only interested in the story categories to build our visualization. This information was nested in several layers of JSON data and metadata, so we found it more intuitive to build our dataframe by looping through the JSON object, creating a Python dictionary for each story, and converting our list of dictionaries into a Pandas dataframe. The sample code linked below walks through the process of creating a Pandas dataframe from a JSON object.
In order to create our network visualization showing how news story categories are related, we need to analyze and restructure our data. Network visualizations are made of two components, nodes (the bubbles) and joins (the lines connecting the bubbles). In our NPR example, the nodes will be the distinct story categories and the joins will be pairs of related categories. Our dataframe has a column containing a list of category tags for each story. The sample code linked below walks through the analysis and restructuring of this information to output csv files for nodes and joins.
D3 is a JavaScript library that helps visualize data in new and interesting ways. JavaScript tends to be a secondary language for data scientists. Most of us code in There are packages available for both Python and R that will allow a large amount of the functionality of D3 without needing to learn JavaScript or the particulars of the D3 language. Particularly for a data scientist, using a package in the primary language of analysis is the way to go. D3 is highly specialized and is best for true visualization projects. Many of the add ons will get you 90% of the way there, with the ability to include a little JavaScript for additional features. As more of these features are added and more functionality is desired, it makes sense to make the full switch into D3. Below are some tools to help you get started.
Bootstrap is a front-end framework used to create websites and applications. A collection of html, css, and javascript tools eases web design.
Flask is a web framework written in Python. Companies such as LinkedIn and Pinterest use Flask. Below is a picture of the vizbuzz flask app directory.  It's a great choice for experimenting since it's free for smaller size web apps.
Once you have your flask running locally, you can deploy it onto Heroku. Deploying with Git clearly explains the deployment process step-by-step.


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Xchem is a database of nearly 70,000† brands that manufacture cosmetics and other topical products (including makeup, sunblock, deoderant, baby products, lotions and nail polish just to name a few.) All of these brands have chemical ingredients, which we know — but many contain ingredients that are toxic. Search for your brands to find chemical ingredients, reference our list of toxic ingredients to see what health concerns you should know about.


{{(vm.resp.data.meta.results.total || 0) | number}} drug labels match your search
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HttpService
public protocol HttpService
An HTTP service can be used to abstract a specific endpoint away from specific requests. Usually, you would have one HTTP service per API that you use and possibly different services for testing/staging and production. Intuitively, a specific implementation of an HTTP service represents a particular API.
-
The URL of the API representes by this HTTP service (e.g.
api.example.com
). This is the only field that needs to be provided by a particular implementation. This url should not contain the scheme (e.g.https://
) as it might get overwritten unexpectedly by a request.Declaration
Swift
var apiUrl: UrlConvertible { get }
-
header
Default implementationA header that ought to be used by all requests issued against the API represented by this HTTP service. Most commonly, this header contains fields such as the API key or some form of Authorization. Request headers always overwrite header fields set by the HTTP service they are used with. By default, the HTTP service does not set any headers.
Default Implementation
Declaration
Swift
var header: HttpHeader { get }
-
sessionConfiguration
Default implementationThe session configuration to use for all requests using this service. By default,
URLSessionConfiguration.default
is used.Default Implementation
Declaration
Swift
var sessionConfiguration: URLSessionConfiguration { get }
-
retrierFactory
Default implementationThe retrier factory provides retriers for requests. By default, the default factory of the stateless
NilRetrier
is used, i.e. requests are never retried.Default Implementation
Declaration
Swift
var retrierFactory: RetrierFactory { get }
-
process(_:)
Default implementationThis method may be implemented to perform some action upon failure of a particular request issued against the API represented by this service. As the method does not return anything, it is mainly intended to be used for debugging or global notifications. A common example is, e.g. notifying the user that something has happened via some kind of alert. You may use the notification center to publish failures that are worth reporting to the user. By default, this method does nothing.
Default Implementation
Declaration
Swift
func process(_ error: Squid.Error)
Parameters
error
The error that caused the failure of a scheduled request.


|
ArkavQuarium
For those who loves InsaniQuarium with low-spec PC
|
Class Game. Control the game state and synchronize the game object state. More...
#include <Game.hpp>
Public Member Functions | |
| Game () | |
| A constructor. More... | |
| ~Game () | |
| A destructor. More... | |
| void | initState () |
| Initialize game state. More... | |
| void | loadState (string filename) |
| Load game state from an external file. More... | |
| void | saveState (string filename) |
| Save game state to an external file. More... | |
| GameState | startGame () |
| Start the game. More... | |
| GameState | showMainMenu () |
| Show the game main menu. More... | |
| GameState | showWinMenu () |
| Show win menu. More... | |
| GameState | showloseMenu () |
| Show lose menu. More... | |
| void | run () |
| Run game sequence. More... | |
Class Game. Control the game state and synchronize the game object state.
| Game::Game | ( | ) |
| Game::~Game | ( | ) |
| void Game::initState | ( | ) |
Initialize game state.
| void Game::loadState | ( | string | filename | ) |
Load game state from an external file.
| string | filename |
| void Game::run | ( | ) |
Run game sequence.
| void Game::saveState | ( | string | filename | ) |
Save game state to an external file.
| string | filename |
| GameState Game::showloseMenu | ( | ) |
Show lose menu.
| GameState Game::showMainMenu | ( | ) |
Show the game main menu.
| GameState Game::showWinMenu | ( | ) |
Show win menu.
| GameState Game::startGame | ( | ) |
Start the game.


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Modern Women Shape Zone
Privacy Policy
Modern Women Shape Zone PRIVACY PRINCIPLES
Modern Women Shape Zone takes privacy seriously. The following five principles underpin our approach to respecting your privacy:
1. We value the trust that you place in us by giving us your personal information. We will always use your personal information in a way that is fair and worthy of that trust.
2. You are entitled to clear information about how we use your personal information. We shall always be transparent with you about what information we collect, what we do with it, with whom we share it and whom you should contact if you have any concerns.
3. If you have any concerns about how we use your personal information, we will work with you to promptly resolve those concerns.
4. We will take all reasonable steps to protect your information from misuse and keep it secure.
5. We will comply with all applicable data protection laws and regulations and we will co-operate with data protection authorities. In the absence of data protection legislation, we will act in accordance with generally accepted principles governing data protection.
Modern Women Shape Zone PRIVACY POLICY
Last Updated: February 28, 2017
Modern Women Shape Zone is committed to protecting your privacy and ensuring that your personal information is protected. This Privacy Policy explains the types of personal information we collect and how we use, disclose and protect that information.
--------------------------------------------------------------------------------


Local VM Install¶
Assumptions and Prerequisites¶
Debian VM provisioned with python 2.7.x
All python dependencies and setup tools are installed
$ sudo apt-get install python-setuptools $ sudo apt-get install build-essential $ sudo apt-get install python-dev $ sudo apt-get install libevent-dev $ sudo easy_install pip
Git
$ sudo apt-get install git
Git repo is
git.corp.company.com:git/docs/documentation.git
Source documents are in
../docs/source
Sphinx
$ sudo pip install sphinx
Note
Not using sudo may prevent access. “error: could not create ‘/usr/local/lib/python2.7/dist-packages/markupsafe’: Permission denied”
Local RTD Setup¶
1. Install RTD.¶
To host your documentation on a local RTD installation, set it up in your VM.
$ mkdir checkouts
$ cd checkouts
$ git clone https://github.com/rtfd/readthedocs.org.git
$ cd readthedocs.org
$ sudo pip install -r requirements.txt
Possible Error and Resolution¶
Error: error: command 'gcc' failed with exit status 1
Resolution: Run the following commands.
$ sudo apt-get update
$ sudo apt-get install python2.7-dev tk8.5 tcl8.5 tk8.5-dev tcl8.5-dev libxml2-devel libxslt-devel
$ sudo apt-get build-dep python-imaging --fix-missing
On Debian 8 (jessie) the command is slightly different
$ sudo apt-get update
$ sudo apt-get install python2.7-dev tk8.5 tcl8.5 tk8.5-dev tcl8.5-dev libxml2-dev libxslt-dev
$ sudo apt-get build-dep python-imaging --fix-missing
Also don’t forget to re-run the dependency installation
$ sudo pip install -r requirements.txt
2. Configure the RTD Server and Superuser.¶
Run the following commands.
$ ./manage.py migrate $ ./manage.py createsuperuser
This will prompt you to create a superuser account for Django. Enter appropriate details. For example:
Username: monami.b Email address<EMAIL_ADDRESS>Password: pa$$word
3. RTD Server Administration.¶
Navigate to the ../checkouts/readthedocs.org
folder in your VM and run the following command.
$ ./manage.py runserver [VM IP ADDRESS]:8000
$ curl -i http://[VM IP ADDRESS]:8000
You should now be able to log into the admin interface from any PC in your LAN at http://[VM IP ADDRESS]:8000/admin
using the superuser account created in django.
Go to the dashboard at http://[VM IP ADDRESS]:8000/dashboard
and follow these steps:
1. Point the repository to your corporate Git project where the documentation source is checked in. Example: git.corp.company.com:/git/docs/documentation.git
Clone the documentation sources from Git in the VM.
Navigate to the root path for documentation.
Run the following Sphinx commands.
$ make html
This generates the HTML documentation site using the default Sphinx theme. Verify the output in your local documentation folder under ../build/html
Possible Error and Resolution¶
Error: Couldn’t access Git Corp from VM.
Resolution: The primary access may be set from your base PC/laptop. You will need to configure your RSA keys in the VM.
Workaround-1
In your machine, navigate to the
.ssh
folder.$ cd .ssh/ $ cat id_rsa
Copy the entire Private Key.
Now, SSH to the VM.
Open the
id_rsa
file in the VM.$ vim /home/<username>/.ssh/id_rsa
Paste the RSA key copied from your machine and save file (
Esc
.:wq!
).
Workaround 2
SSH to the VM using the -A
directive.
$ ssh document-vm -A
This provides all permissions for that particular remote session, which are revoked when you logout.
4. Build Documentation on Local RTD Instance.¶
Log into http://[VM IP ADDRESS]:[PORT]
using the django superuser creds and follow these steps.
For a new project¶
Select <username> > Add Project from the user menu.
Click Manually Import Project.
Provide the following information in the Project Details page:
- Name: Appropriate name for the documentation project. For example – API Docs Project
- Repository URL: URL to the documentation project. For example - git.corp.company.com:/git/docs/documentation.git
- Repository Type: Git
Select the Edit advanced project options checkbox.
Click Next.
For an existing project¶
- Select <username> > Projects from the user menu.
- Select the relevant project from the Projects list.
- Select latest from the Build a version dropdown.
- Click Build. This will take you to the Builds tab where the progress status is displayed. This may take some time.
Tips¶
- If the installation doesn’t work on VM using your login/LDAP credentials, try running the operations as root (su).


To record attendance, allow instructor to scan the code below.
You must have access to the LxP for this functionality.


Welcome to QuickCrop. QuickCrop is a quick, easy way to crop and resize images on the fly.
Simply upload a file using the "Choose File" button, and drag the image around the canvas. What is shown in the white box will be your new image. To zoom in or out, either scroll with your mouse or use the slider underneath the canvas.
If you would like to choose a different dimension, simply select that option in the yellow selection section.
When you are satisfied with your image, press the "Result" button and preview your new image. To export this image, right click on it and choose "Save image as...".
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Quipu specializes in two main services which are catering and weekly lunch specials.
We offer drop off and full service catering services for a variety of events, specializing in corporate meetings, with a minimum order of 7 meals. To order, please email us at<EMAIL_ADDRESS>or call us at<PHONE_NUMBER>
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Features
| PennCourseNotify1 | Penn Course Alert | Pennmate Notify | |
|---|---|---|---|
| Requires login | No | Yes | No |
| Repeated notification | ✕ | ✓ | ✓ |
| Display course open status | ✕ | ✓ | ✓ |
| Notify via Push Notification | Limited | Limited | ✓ |
| Notify via Email | ✓ | ✓ | ✕ |
| Notify via Text | ✕ | ✓ | ✕ |
Repeated notification
Pennmate Notify won't stop notifying your subscribed courses unless you manually cancel it. If you failed to register your courses this time, you will be notified again next time.
Display course open status
Without logging into Path@Penn, you can view the course status on the app directly. Pennmate Notify also tells you when the course last opened.
Notify via Push Notification
Notifying via Email or Text looks like a great way at first glance. However, they arrive at your device via Push Notifications anyway. Therefore, by skipping the extra step (email and cell provider), Pennmate Notify is able to notify you at the shortest notice.
No data collected
By filling out your Email address or phone number and your planned courses together, it is extremely easy to identify your personal information. Pennmate Notify doesn't track you in any way, and only uses a random identifier to push the notifications onto your device.
Cross platform
Supported on all Android devices and PC via Chrome browser extension (works without opening your Chrome!). iOS and iPadOS devices support coming soon.


touch the page for hearts!
also, try opening the console to experiment with the current animation
var dawh = SuperHearts();


--- layout: page title: About header-img: "img/about-bg.png" ---
I have been a graphic designer for about 16 years. I find myself being drawn to coding because I want to build things on the web, not just make them look great !


--- creation_epoch:<PHONE_NUMBER> lastmod_epoch:<PHONE_NUMBER> categories: ['Computer Problems'] title: Half-Life 2 (Original), ASUS M3A78-EMH HDMI, Stuttering --- So the full version of Half-Life 2 has the same problem as the demo on my machine. The audio stutters, and the video lags very slowly for about 5-10 seconds at seemingly random times.
I tried all the tricks on the Internet to resolve this:
Here are my computer specifications:
Here is an old site with some consolidated info on fixes: http://www.blep.net/hl2stutter/
I'm going to try contacting VAVLe support to see if they have anything else or know about issues with my specific motherboard.
Possible Cause Found
I believe the stuttering is caused by my CPU reaching its maximum temperature and the motherboard freezing the CPU in order to cool it. I installed ASUS Cool & Quiet and ASUS Probe II utilities. Each time my CPU reached 62°C the stuttering would occur and continue until the temperature dropped.
I tried reseating my processor, removing and replacing the thermal compound, but my CPU still hits 62°C. Looks like I'm going to have to buy an expensive cooler to keep the CPU cold enough. Sad thing is I bought the "upgraded" fan when I purchased the motherboard and cpu combo.


Try out our Premium Member services: Virtual Legal Assistant, Query Alert Service and an ad-free experience. Free for one month and pay only if you like it.
CUSTOMS, EXCISE & SERVICE TAX APPELLATE TRIBUNAL CHENNAI REGIONAL BENCH - COURT NO. III Excise Appeal No.41409 of 2018 (Arising out of Order-in-Appeal No.68, 69, 70 & 71/2018 (CTA-II) dt. 28.02.2018 passed by Commissioner of Central Excise (Appeals-II), CGST & Central Excise, Chennai] M/s.Pennar Industries Ltd. Appellant Patta No. 452, 90, Periyapalayam Main Road, Kannigaipair Village Uthukottai Taluk Thiruvallur 601 102. VERSUS Commissioner of GST & Central Excise, Respondent
R &T Section, Chennai Outer Commissionerate, Newry Towers, Anna Nagar Chennai 600 040.
APPEARANCE :
Shri V. Murugadoss, Sr. Executive Shri P. Hari, Sr. Executive For the Appellant Ms. T.Usha Devi, DC (AR) For the Respondent CORAM :
HON'BLE MS. SULEKHA BEEVI, C.S., MEMBER (JUDICIAL) DATE OF HEARING : 19.07.2019 DATE OF DECISION : 19.07.2019 FINAL ORDER No. 40932 / 2019 The above appeal has come up for hearing as per the published cause list.
2
2. After hearing the submissions by both sides, it is seen that vide Final Order No.43065-43068/2018 dt. 10.12.2018 the Tribunal had disposed the appeals having identical issue. The relevant portion of the said final order is reproduced as under :
"5. The period involved in all these appeals is from Sept.'12 to Sept.'15 and Oct.'15 to Jan.'17. The appellants are aggrieved by disallowance of Cenvat Credit on Housekeeping and Gardening Services. The department has disallowed the credit alleging that these services do not have any nexus with the manufacturing activity. It is brought out from the records and the submissions made by the learned counsel for the appellants that Housekeeping services were not used within the factor premises wherein the finished goods are manufactured and it was necessary for the appellants to keep the premises in a clean and hygienic manner. So also, as per the Factories Act, 1948 read with the provisions of Water (Prevention and Control of Pollution) Act, 1974 and Air (Prevention and Control of Pollution) Act, 1981, the appellants have to maintain a green belt/garden within the factory premises. The Gardening Services were availed for these purposes. The issue has been settled by the jurisdictional High Court in the case of M/s. Wipro Ltd., (supra). Following the said decision, I am of the view that the disallowance of credit is unjustified and requires to be set aside, which I hereby do. The impugned orders are set aside. The appeals are allowed with consequential reliefs, if any."
Following the said decision, I am of the view that impugned order in this appeal cannot sustain and requires to be set aside, which I hereby do so. The impugned order is set aside. Appeal is allowed with consequential relief, if any, as per law.
(dictated and pronounced in court) (Sulekha Beevi, C.S) Member (Judicial) gs 3


October 27 , indoors ultramodern business center "101 Towers" in the heart of Kyiv will be the largest developer conference dedicated to technology Google in Ukraine. The program kinouty three streams of reports from well-known speakers , identifying the most active GDG group in Ukraine and many curious
October 26 , 10 hours of non-stop coding for the most persistent, sea RedBull'u, fanu and fun dating and everything in order to show the end of a working prototype application on one of the newest platform from Google
October 26 , indoors DataArt leaders will gather in Kiev GDG from Ukraine, Belarus, Germany and Turkey, to share experience community management best practices of event and just talk
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Event Location:
Patrick Hays Learning Center
2700 Gateway Oaks Drive, Suite 2600
Sacramento, California
Abstract:
This lunch session will serve to introduce the audience to high level challenges that face SQL Server DBA's, and how third party solutions can help. Specific examples and use cases will be provided to demonstrate Dell Software solutions. Specific challenges are Performance Management, Query Optimization and Tuning, and Backup and Recovery will be discussed. The session will wrap up with a demonstration of Dell's freeware offerings for SQL Server, providing all attendee's with software they can take with them to immediately assist with complex and time consuming database problems.Tools to be discussed:Spotlight on SQL Server EnterprisePerformance Analysis for SQL ServerLiteSpeed for SQL ServerToad for SQL Server - FreewareProject Lucy - Freeware
Speaker(s): Jason Hall,
Abstract:
A recent survey by Information Week found that data quality is the greatest barrier to BI adoption in enterprises. MDS addresses this challenge with modeling, validation, alerting and security capabilities. In this presentation, you will learn how to use MDS to model your data to ensure correctness, update it with changes from your ERP, and create workflows with notifications. Next you will learn the capabilities of DQS and see how it addresses data standardization, completeness and other challenges. You will then see how to use them together to enable Enterprise Information Management. BI professionals will come away with knowledge on how to use tools that address the greatest risk to success for BI projects - data quality.
Speaker(s): Mark Gschwind,
Abstract:
How many times you have been thrown in a situation when you have been asked to fix performance issues of a database system which you have never seen before? Where do you start tuning? When do you stop tuning? Each application is different. With the ever increasing number of systems one production DBA has to manage today, it's very important to use TOP to BOTTOM approach to troubleshoot performance issues, which will lead to the answers in the right way for the application under consideration. While you can find top queries, wouldn't it be awesome if you can find out which ones are the exact queries taking most of the resources in last hour and current situation? Now you can focus on those specific queries! In this session, Prakash walks you through with scenario demos to find which exact queries are taxing production systems resources based on CPU/DISK/Memory/Network. They are all based on his own real-life experience from managing demanding database systems.
Speaker(s): Prakash Heda,
Abstract:
Dude, where's my keys??!?! Confused about the various ways SQL Server handles encryption? Tasked with securing your environment or trying to pass an audit? There's a lot of information that can be difficult to wade through. In this session, I'll go over three ways to encrypt SQL Server, showing practical examples of the various techniques. We'll look at encrypting the information at the network level (in transit), encrypting the data and backup files (at rest using Transparent Data Encryption) and encryption of sensitive information in the database (columns and stored procedures). This will be a high level, hands-on discussion that will enable any administrator to put the techniques discussed into practice immediately. You'll see how encryption will fit into your overall security scheme.
Speaker(s): Dan Hess,
Abstract:
Sure, your SQL Server is up and running. Anyone can click through a SQL Server install nowadays. But... is it running at its peak potential? Do you have your VMware environment configured properly? Have you measured the performance lately? Your business-critical SQL Server performance does not have to suffer just because it was virtualized. Very specific VMware and SQL Server tuning tips and tricks from David Klee (@kleegeek) will be presented in this session.
Speaker(s): David Klee,
Abstract:
Maybe your job consists of setting up security and dealing with backups. Maybe you're a DBA who supports multiple teams in development, QA, and production. Or maybe your day is spent attending meetings, setting up new servers, designing new apps, supporting old apps, and dealing with the myriad sources of pain that make up the daily life of most DBAs. This entertaining lunch-time session explains how Red Gate's tools can take the pain out of the difficult, time-consuming tasks you face each day.
Speaker(s): Steve Stedman,
Abstract:
Self-promotion is often times the best promotion you can get. In this session, we will talk about how to promote yourself, your brand and your career without looking like “That Guy”. We will discuss Social Medias, communities, volunteering and other ways to get your name out… What are the first steps? Come find out.
Speaker(s): Mitchell Bottel,
Abstract:
The future of data analysis is the new, in-memory xVelocity Tabular analytic engine but is this new product ready for enterprise solutions? Is it easier to build Tabular models than multidimensional cubes in SQL Server 2012? Maybe… Depends on what you need to do. Is it faster? Heck, yea. Taking off the Microsoft BI marketing hat, let’s take a tabular journey together and learn some lessons from the first generation of real, enterprise-scale solutions: The Good, the Bad, the Ugly and the Beautiful.
Speaker(s): Paul Turley,
Abstract:
Ever wanted to know what happens in SQL Server when you use PowerShell and SMO to manage a SQL Server? How fast can your automation really go? I will take you through the most common objects in SMO and the internals of what happens when you use those objects. We will examine the TSQL that is generated, and learn techniques that lead to high efficiency. We will dive deep through the collections that make SMO the powerful tool it is. Combining the flexibility of PowerShell and SMO Internals is a recipe for awesome sauce. Come peek behing the curtain and squeeze the speed out of your automation scripts using PowerShell and SMO. You'll be glad you did.
Speaker(s): Ben Miller,
Abstract:
Master, model, msdb, tempdb. You see them on all of your servers, but what do you really know about them? If you ever wanted to learn about the SQL Server system databases, their purpose, and the maintenance and configuration required to keep your server running its best, then this session is for you! Learn best practices and techniques, including how to restore master and how to configure tempdb to reduce contention. You'll leave with a better understanding of these shared resources and how they affect your database applications.
Speaker(s): Vicky Harp,
Abstract:
Just about anyone can click through a SQL Server installation and get it working. But, it is not running close to efficient, and as the workloads grow, it will only get worse. This session by David Klee (@kleegeek) provides valuable details on how to tweak and tune your SQL Server installations to ensure maximum performance, as well as tips on capacity management so you know when you need to add more hardware to take your server to the next level.
Speaker(s): David Klee,
Abstract:
Have crazy deadlines? Working long hours? Tasks that need to be done yesterday? This session is all about getting things done faster tricks/tools you can use to improve productivity. Including macros, dynamic SQL, excel, and templates. The majority of this session will cover macros (because I am a fan) and shortcuts; however, we will also go over a few examples of dynamic SQL, excel, and templates. This session is designed for people who know how to write t-sql and will be semi-open to discussion; we want to hear your tricks/tips as well.
Speaker(s): Steve Stedman,
Abstract:
SQL Server query tuning is often more art than science and it can quickly eat up a lot of DBA and/or Developer time. This presentation will outline a method for determining the best approach for tuning queries by utilizing response time analysis and SQL diagramming techniques. Regardless of the complexity of the statement, this quick, systematic approach will lead you down the correct tuning path with no guessing.
Speaker(s): Janis Griffin,
Abstract:
Powered by Fusion-io, Protected by SIOS: Learn how to eliminate the bottlenecks and costs of SAN-based clustering. Leverage the performance of high-speed Fusion ioMemory and achieve higher levels of availability with SIOS. It is the best of both worlds - performance and protection – at a price you can afford. Join us and you could win a $100 American Express gift card.
Speaker(s): Steve Stedman,
Abstract:
Have your efforts to trim a few pounds off your log file been met with frustration?  Log file obesity is a problem that can challenge DBAs of any level. This session will help you deal with your overweight database by covering how log files grow, why truncating the log is a bad idea, and what you can do to keep your files trim and fit.
Speaker(s): Michael Fal,
Abstract:
Learn about Microsoft’s Data Quality Services (DQS), what it is and how it works. You will discover how DQS sets itself apart from conventional data cleansing routines and go through examples on how to begin your own Data Quality Project which includes data cleansing and deduplication. But what really makes DQS unique and powerful is its ability to access shared knowledge, so we will show you how to access and use this shared knowledge to your benefit
Speaker(s): Joseph Verftido,
Abstract:
Integration Services in SQL Server 2012 gives DBAs and BI developers new features that save time and money in terms of development and management. Whether you're automating DBA tasks, ETL processes, or System Integrations, SSIS has something for everyone. Come learn about: -Improvements in the design interface -SSIS Parameters -Easier Deployment with the SSIS Catalog -New Standard Reports for monitoring SSIS -New ways to control SSIS on the server. If you're on SQL Server 2008, not to worry. I will show you an additional 3rd party tool that gives you a lot of this functionality. But nothing beats the ROI with SSIS 2012.
Speaker(s): Angel Abundez,
Abstract:
Did you love "Bill Nye, the Science Guy" when you were a kid? Or maybe you were a MacGyver fan? Did you take apart your Mom's toaster or your Dad's alarm clock just to see how it ticked? Ever wonder how that database you built or support works behind the scenes? SQL Server Databaseology 201 is the science concerned with the study of SQL Server databases and their structures. This session will explore some of the deep inner workings of a SQL Server databases. The attendee will walk away with a deeper understanding of how SQL Server databases work which would allow them to build better and faster databases.
Speaker(s): John Morehouse,
Abstract:
More and more data collected in organizations is in an encoded format, essentially a binary classification of data. These can be images, audio files, video, or even common formats like Word and Excel files. This data contains lots of important data, but the formatting must be stripped out in order for users to effectively search this data. Filestream, Filetable, Full-Text Search, and Semantic Search are covered.
Speaker(s): Steve Jones,
Abstract:
In the past, High Availability and Disaster Recovery (HADR) had many limitations. Clustering and Mirroring are great, but the mirror/secondary database is not very usable since it is not online. Finally, AlwaysOn solves this limitation by merging both multi-node Clustering and mirroring. AlwaysOn also allows the secondary database to remain ONLINE, so we can use it for reporting purposes without resorting to a Snapshot! Come see this lively session with extensive demos of setting up, configuring and testing AlwaysOn. We'll also test automatic fail-over using a real web app to see how well this feature works.
Speaker(s): Jim Murphy,
Abstract:
In this demo-rich session, we will explore database and ETL architectures that let you smoothly move data from your application databases across the enterprise in real-time to your data warehouse. You will see how to use SQL Server features such as replication, Change Data Capture, SSIS, and other techniques to extract, transform, and load data fast and dependably. We will develop an actual sample system during the session and discuss and walk through alternative real-time architectures. We will then see how to use Reporting Services to present data with a minimum amount of latency.
Speaker(s): Carlos Bossy,
Abstract:
Are you suffering from High CPU, Low Memory, Query Timeouts, Decreasing Page Life Expectancy, CXPACKET Waits, or just a slow running application? I'll show you how to become a "Read Hunter" to track down top logical reads queries bringing down your SQL Server performance.
Speaker(s): Chris Skorlinski,
Abstract:
If you haven't been pro-active and set up some sort of tracing, does that mean there is nothing you can do to find out what problematic queries might be running? The answer is no. In this session, we'll explore SQL Server's plan cache, from the way it is managed in memory, to the tools and techniques for discovering what plans are in cache, how long they've been there, how often they've been run, and whether they contain any suspected sub-optimal operators, such as table scans and hash joins. Knowing what's happened is the first step in knowing what needs to be fixed.
Speaker(s): Kalen Delaney,
Abstract:
Learn from a Microsoft Certified Master how to secure your SQL Server infrastructure and your Windows installations to enhance resiliency and minimize exposure to attacks—all without touching any of your code!
Speaker(s): Argenis Fernandez,
Abstract:
In this session we'll talk about the why and how of table partitioning. Expect to leave with real world scripts to help you create, breakdown, and manage your partitioned tables.
Speaker(s): Mickey Stuewe,
Abstract:
Back in the old days, compression and databases was a really bad idea. Now, with powerful CPUs we can use to both improve performance and save disk space. We will cover the basics of how all compression and deduplication works, and then we will learn how SQL Server page and row compression work, and the special compression that is used in SQL 2012 Columnstore Indexes. We will demo performance and space savings in using compression.
Speaker(s): Joseph D'Antoni,
Abstract:
The leading edge Hybrid storage technology can significantly impact SQL application performance by providing Cache Accelerated IOPS at extremely low solid state latency. In this session you’ll learn:· How hybrid storage architecture benefits datacenter applications· What are the SAN features that can accelerate data protection and recovery operations· Instant and zero space re-purposing tools that have minimal to no disk overhead· SQL application integration
Speaker(s): Tom Riggins,
Abstract:
SQL Server LogShipping is an option to keep a copy of a database on another site. It is also a way to have a read-only copy of a database on another server for reporting, etc. This session will cover going outside the box and using PowerShell to backup, ship, and restore the database backups to another server. This has been used to LogShip over the internet and over an FTP infrastructure. This session is intended to show the possibilities of PowerShell and SQL Server together. There will be full end-to-end demos of the pieces that make this possible.
Speaker(s): Ben Miller,
Abstract:
You've heard often enough that you need to look at execution plans to understand what's going on with a query. But what are you supposed to look at? This session answers that question, providing a step-by-step set of considerations for evaluating your execution plans. We'll look at the aspects of an execution plan that should be immediately checked, why they should be checked, and provide some guidance for what to do about what you find. You'll be able to apply this information to your SQL Server 2012 systems as well as older versions of SQL Server.
Speaker(s): Grant Fritchey,
Abstract:
Ready to begin your first SQL Database application? Wondering what others have learned as the moved data into the cloud? I'll cover best practices you'll need while planning your move to SQL Database in the cloud.
Speaker(s): Chris Skorlinski,
Abstract:
SQL 2012 AlwaysOn Availability Groups is a new unified High availability(HA) and disaster recovery(DR) solution introduced in SQL 2012. This solution is an answer to both HA and DR requirements that is flexible, integrated, and easy to deploy. You'll see a demo that includes: •Setting up the Availability Group •Setting up multiple secondaries •Manual Failover •Automated Failover •AG Listener •and much more... You'll learn: •How to set up, manage, and maintain Availability groups in SQL 2012 •Create availability group failovers between data centers •How to utilize the replicas for backup and other tasks
Speaker(s): DIlip nayak,
Abstract:
SQL Server Reporting Services Report Manager provides a great web platform for managing and delivering many types of reports. We will review delivering reports with Report Manager and explore integrating SSRS as the engine for report presentation within web and windows applications. We will also look at options to feed reports to your document management system and push reports to the cloud for remote access and mobile devices.
Speaker(s): Phil Robinson,
Abstract:
This presentation will introduce big data analytics for the business analyst with PowerPivot and Power View. It will be of interest to those new to the concept of big data, new to self-service data modelling with PowerPivot, and those interested to understand what is new for PowerPivot and Power View in Excel 2013. Demonstrations will include creating a big data solution by using HDInsight Server; producing a PowerPivot model based on the big data solution; using PowerPivot to integrate big data with local data; and, analyzing the PowerPivot model data by using Power View.
Speaker(s): Peter Myers,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: http://www.linkedin.com/in/dbaduck/
Contact: https://dbaduck.com
Ben has been a member of the SQL Server Community since 2000. He loves a challenge and has fixed many SQL Servers and helped hundreds of people get more out of their DBA jobs. He is a Data Platform MVP a SQL Server Certified Master (MCM). He has worked at various companies throughout the USA, as well as at Microsoft for 7 years. He is passionate about SQL Server Infrastructure, High Availability, Automation and Integration using SMO and PowerShell. He teaches DBAs how to use PowerShell to do their job and teaches SQL Server Internals. He is @DBAduck all around the web (Twitter, LinkedIn, Facebook, Blog) so let's catch up.
LinkedIn: http://linkedin.com/in/peterjsmyers
Peter Myers is a consultant, trainer and presenter, and has worked with Microsoft database and development products since 1997. Today he specializes in all Microsoft Business Intelligence products and also authors training course content for Microsoft products and services. He has a broad business background supported by a bachelor’s degree in applied economics and accounting, and he extends this with extensive experience backed by current MCSE certifications. He has been a Data Platform MVP since 2007.
LinkedIn: http://www.linkedin.com/in/davidaklee
Contact: http://davidklee.net
David Klee is a Microsoft Data Platform MVP and VMware vExpert with a lifelong passion for technology. David spends his days focusing on the convergence of data and infrastructure as the Founder of Heraflux Technologies. His areas of expertise include cloud, virtualization, performance, and business continuity. David speaks at a number of national and regional technology related events, including PASS Summit, VMware VMworld, SQLBits, SQLSaturday events, and many SQL Server User Groups.
LinkedIn: http://www.linkedin.com/in/mickeystuewe/
Contact: http://www.MickeyStuewe.com
Mickey Stuewe has been working with SQL Server since 6.5. That gives her over 20 years of experience. She has not only been a database developer, but also an application developer, even before Visual Studio existed. She is now thankful to be focusing on database design, t-SQL development, and query optimization. She also has a habit of enjoying SSIS and data warehouse design. She blogs regularly on her website mickeystuewe.com and contributes to sites such as SQL Server Central and SQL Server Pro. She enjoys presenting at PASS Summit, SQLSaturdays, User Groups and other events. When she is not immersed in SQL related activities, she enjoys action movies, art, reading, and laughing. She laughs loudly and often...just ask her children.
Dilip works as a Senior DBA at a financial services company. His specialization is in SQL performance tuning, high availability, and database administration. He has over 18 years of IT experience starting as a VB/.NET developer and has been working with SQL for the past 9 years.
LinkedIn: http://www.linkedin.com/in/dbaduck/
Contact: https://dbaduck.com
Ben has been a member of the SQL Server Community since 2000. He loves a challenge and has fixed many SQL Servers and helped hundreds of people get more out of their DBA jobs. He is a Data Platform MVP a SQL Server Certified Master (MCM). He has worked at various companies throughout the USA, as well as at Microsoft for 7 years. He is passionate about SQL Server Infrastructure, High Availability, Automation and Integration using SMO and PowerShell. He teaches DBAs how to use PowerShell to do their job and teaches SQL Server Internals. He is @DBAduck all around the web (Twitter, LinkedIn, Facebook, Blog) so let's catch up.
LinkedIn: http://www.linkedin.com/pub/prakash-heda/8/a60/b77
Contact: http://www.sqlfeatures.com/
Prakash Heda works as Manager (Data-IT) at SSC Advent. His expertise encompasses the work of automation, performance tuning/troubleshooting, high availability, san configuration and windows administration. Heda has 13+ years of experience managing enterprise-wide data needs in both high volume transactional and data warehouse environments. Heda holds certifications for MCDBA and MCITP. His background includes administration development using VB/ASP/SSIS with SQL server 2000 to 2017. He is an active member of PASS, SQLSaturday, and as well a frequent presenter at user groups, SQLSaturdays, and other community events. He is also an avid tweeter, blogger and runner.
Kalen Delaney is a Data Platform MVP who has worked with SQL Server for more than 32 years. She has provided performance consulting services and taught advanced courses on SQL Server to thousands of people and organizations. In addition to her courseware development, Kalen has been writing about SQL Server for decades. She is the primary author of SQL Server Internals and the Inside SQL Server series. Kalen is also one of the primary editors for the Red Gate SQL Server Stairways tutorials.
LinkedIn: http://www.linkedin.com/in/davidaklee
Contact: http://davidklee.net
David Klee is a Microsoft Data Platform MVP and VMware vExpert with a lifelong passion for technology. David spends his days focusing on the convergence of data and infrastructure as the Founder of Heraflux Technologies. His areas of expertise include cloud, virtualization, performance, and business continuity. David speaks at a number of national and regional technology related events, including PASS Summit, VMware VMworld, SQLBits, SQLSaturday events, and many SQL Server User Groups.
LinkedIn: http://www.linkedin.com/in/stevestedman
Contact: http://SteveStedman.com
Steve Stedman is the Leader of a PASS Local Group in Bellingham WA USA. Steve runs his own SQL consulting firm Stedman Solutions, LLC. He has 29 years of programming and SQL experience. He has written the book on SQL Common Table Expressions. He teaches, speaks at conferences, writes, and has taught SQL server classes at Western Washington University. Steve has previously spoken at PASS Summit, TechEd, DevTeach Vancouver, many SQLSaturdays, and more.
LinkedIn: https://www.linkedin.com/in/pturley
Contact: http://www.sqlserverbiblog.com
Paul is a Principal Consultant for Pragmatic Works, a Mentor and Microsoft Data Platform MVP. He consults, writes, speaks, teaches blogs about business intelligence and reporting solutions. He works with companies around the world to model data, visualize and deliver critical information to make informed business decisions; using the Microsoft data platform and business analytics tools. He is a Director of the Oregon Data Community PASS chapter user group, the author and lead author of Professional SQL Server 2016 Reporting Services and 14 other titles from Wrox Microsoft Press. He holds several certifications including MCSE for the Data Platform and BI.
LinkedIn: http://linkedIn.com/in/angelstreamline
Contact: http://angelstreamline.com
Angel leads the Solutions Architecture team at DesignMind, helping design and build world class data-related systems. His expertise includes Microsoft SQL Server BI tools, Power BI, Azure-based database services, and Tableau. His team develops Proofs of Concept, Pilots, and highly scalable production systems. Angel co-leads the Bay Area Microsoft Business Intelligence User Group and the San Francisco Power BI User Group. He speaks at Data Analytics events throughout the U.S. and writes for SQL Server Central. He is a graduate of Cal Poly SLO with a BS in Mechanical Engineering.
Contact: http://www.mitchespitch.com
Mitchell Bottel is a senior database administrator with Sutter Physician Services, owner of Innovative IT Consulting and President of the Sacramento SQL Sevrer User Group. He has 14 years of IT experience, focusing on SQL Server for the last ten years with an emphasis on database administration and high availability solutions. He has authored blog posts on the SQLServerPerformance website and written White Papers on using Dynamic Management Views.
LinkedIn: http://www.linkedin.com/profile/view?id=3997984amp;trk=hb_tab_pro_top
Contact: http://joeydantoni.com
Joseph D'Antoni is a Senior Consultant and Microsoft Data Platform MVP with over 20 years of experience working in both Fortune 500 and smaller firms. He is a Principal Consultant for Denny Cherry Associates and lives in Malvern, PA. He is a frequent speaker at major tech events like Microsoft Ignite, PASS Summit, and Enterprise Data World. He blogs about all topics technology at joeydantoni.com. He believes that no single platform is the answer to all technology problems. Joseph holds a BS in Computer Information Systems from Louisiana Tech University and an MBA from North Carolina State University, and is the co-author of the Microsoft book "Introducing SQL Server 2016”.
Contact: http://www.quest.com
Jason Hall is a systems consultant at Dell Software (formally Quest Software) specializing in assisting customers solve complex SQL Server problems.
LinkedIn: http://www.linkedin/in/carlosbossy
Contact: http://www.carlosbossy.com
Carlos Bossy (MCTS, MCP BI, CBIP) is a data and cloud analytics architect with 25 years of experience in software and database development. As a principal of Datalere, Carlos focuses on developing BI, Data Science, and Advanced Analytics solutions, including modeling data warehouses and delivering predictive models, integration, and visualization. He has developed warehouses and BI solutions for a variety of industries and state agencies, including health insurance, solar energy, foster care, telecom, and manufacturing.
LinkedIn: http://www.linkedin.com/in/stevestedman
Contact: http://SteveStedman.com
Steve Stedman is the Leader of a PASS Local Group in Bellingham WA USA. Steve runs his own SQL consulting firm Stedman Solutions, LLC. He has 29 years of programming and SQL experience. He has written the book on SQL Common Table Expressions. He teaches, speaks at conferences, writes, and has taught SQL server classes at Western Washington University. Steve has previously spoken at PASS Summit, TechEd, DevTeach Vancouver, many SQLSaturdays, and more.
LinkedIn: http://www.linkedin.com/in/way0utwest
Contact: http://www.voiceofthedba.com/
Steve Jones is a Microsoft SQL Server MVP and has been working with SQL Server since version 4.2 on OS/2. After working as a DBA and developer for a variety of companies, Steve co-founded the community website SQLServerCentral.com in 2001. Since 2004, Steve has been the full-time editor of the site, ensuring it continues to be a great resource for SQL Server professionals. Over the last decade, Steve has written hundreds of articles about SQL Server for SQLServerCentral.com, SQL Server Standard magazine, SQL Server Magazine, and Database Journal.
Contact: http://vickyharp.com
Vicky Harp is the Group PM Manager for the SQL Server Tools Team, which is responsible for the full set of experiences from drivers and scripting libraries, to GUI tools, to the Azure Portal. She has been building tools for SQL Server for 15 years.
Chris Skorlinski has been with Microsoft for 17 years. He is a Support Escalation Engineer at the Microsoft Charlotte NC office specializing in performance tuning and troubleshooting Replication. His is a contributor to SQLShare.com training as well as his own BLOGs on Replication Performance at http://blogs.msdn.com/ReplTalk/. #160;
LinkedIn: http://www.linkedin.com/in/stevestedman
Contact: http://SteveStedman.com
Steve Stedman is the Leader of a PASS Local Group in Bellingham WA USA. Steve runs his own SQL consulting firm Stedman Solutions, LLC. He has 29 years of programming and SQL experience. He has written the book on SQL Common Table Expressions. He teaches, speaks at conferences, writes, and has taught SQL server classes at Western Washington University. Steve has previously spoken at PASS Summit, TechEd, DevTeach Vancouver, many SQLSaturdays, and more.
LinkedIn: http://www.linkedin.com/pub/janis-griffin/0/914/aba
Janis Griffin has over 30 years of DBA/database experience including design, development and implementation of many critical database applications. Before coming to Quest Software, Janis primarily worked in the Telecom/Network Industry, working with both real-time network routing databases and OLTP business to business applications. Janis also held positions as a Principal Architect and Senior Manager, mentoring other DBAs on best practices in database performance tuning.
Chris Skorlinski has been with Microsoft for 17 years. He is a Support Escalation Engineer at the Microsoft Charlotte NC office specializing in performance tuning and troubleshooting Replication. His is a contributor to SQLShare.com training as well as his own BLOGs on Replication Performance at http://blogs.msdn.com/ReplTalk/. #160;
LinkedIn: http://www.linkedin.com/in/argenis
Contact: http://blog.purestorage.com/author/argenisfernandez/
Argenis is a Principal Architect at Pure Storage. He works with customers around the world to make sure they don’t have to worry much about their infrastructure for Data. He is a former Data Platform MVP, former VMware vExpert, Microsoft Certified Master, and more recently worked in the Microsoft Azure Data/SQL Server engineering team as a Principal PM in the Tiger team.
Sr. Systems Engineer with Nimble Storage
Mark Gschwind is VP of Business Intelligence at DesignMind, a Microsoft Gold consulting partner based in San Francisco. He has been a BI Consultant since 1995, implementing Data Warehousing, OLAP, Reporting and Data Mining solutions to over 46 clients. He is an MCP and is certified in Oracle Essbase. He has presented MDS to other SQLSaturday events, as well as local PASS chapters. He has been using MDS since 2008 and has also used DQS on numerous client engagements.
Contact: http://sqlrus.com
John Morehouse is currently a Database Architect/Engineer with Farm Credit Services of America in Omaha, Nebraska. He is one of the leaders of the Omaha SQL/BI User group and and a frequent speaker at SQLSaturday's as well as other conferences. In his spare time, you can find John running after one of his two sons or working on his 113 year old house.
LinkedIn: https://www.linkedin.com/in/dan-hess-a789764
Contact: http://www.expressnetsolutions.com/sqldch
Dan has been in IT for the last 18 years, graduating from California State University, Chico with a computer science degree. He#39;s been focused on SQL Server since 2007 when he was given the quot;accidental DBAquot; title. After learning to swim in the deep end and moving jobs to Sacramento, he saw the need to help others who were in a similar position and helped to form the Sacramento SQL Server user group. Database administration is his primary focus.
LinkedIn: http://www.linkedin.com/company/melissa-data
Contact: http://blog.melissadata.com/data-quality-authority/
A Data Quality Analyst at Melissa Data, Joseph has worked with numerous clients in understanding their business needs for data quality, analyzing their architecture and environment, and recommending strategic solutions to successfully integrate data quality within their infrastructure. He gives frequent webinars for implementing different techniques for data quality and also manages the MVP Program – a network that provides resources to community leaders, speakers, consultants and other experts.
LinkedIn: https://www.linkedin.com/in/michaelfal/
Contact: http://mikefal.net
Mike is a specialist in data management technologies. As a community advocate, public speaker, and blogger, Mike is a practicing thought leader for data and automation. He is passionate about DevOps and data, building platforms to optimize, protect, and use data efficiently. Since 1999, Mike has been working in the database field, focusing primarily on SQL Server and specializes in automating data solutions to improve the reliability and efficiency of his environments. He has been caught playing trombone in public on more than one occasion.
Phil Robinson is an independent consultant focused on developing Business Intelligence solutions using Microsoft Reporting Services and Power BI. He is founder of the San Diego SQL Business Intelligence Group and co-founder of SQLSaturday – San Diego.
LinkedIn: http://www.linkedin.com/in/scarydba
Contact: http://scarydba.com
Grant Fritchey is a Data Platform MVP with over 20 years’ experience in IT, including time spent in support and development. He has worked with SQL Server since 6.0 back in 1995. He has also developed in VB, VB.NET, C#, and Java. Grant has written books for Apress and Simple-Talk. Grant presents at conferences and user groups, large and small, all over the world. He joined Redgate Software as a product evangelist in January 2011.
LinkedIn: http://www.linkedin.com/in/sqlwatchmen
Contact: http://sqlwatchmen.com/blogs/jim/
Jim Murphy has been using Microsoft SQL Server since version 6.0 back in the 90#39;s. He is the CEO of SQLWatchmen, LLC., a managed DBA service provider. He runs the Austin SQL Server User Group: CACTUSS Central. He has been a professional DBA and developer for over 25 years and has run a consulting company full time since 2001.
The following is a list of sponsors that helped fund the event.


ioctl
OS/161 Reference Manual
Name
ioctl - miscellaneous device I/O operations
Library
Standard C Library (libc, -lc)
Synopsis
#include <sys/ioctl.h>
int
ioctl(int fd, int code, void *data);
Description
ioctl performs an object-specific operation code on the
object referred to by the file handle fd. The data
argument may point to supplemental data required or returned by the
operation. The size of buffer required, if any, and other such matters
are operation-specific.
Traditionally, ioctl is a catchall function for performing operations
that don't fit neatly into any other model.
The ioctl codes are defined in <kern/ioctl.h>, which should be
included via <sys/ioctl.h> by user-level code. As of this
writing, the base OS/161 system defines no ioctls. However, it may
prove useful to implement some, particularly in connection with some
less conventional possible projects.
Return Values
On success, ioctl returns 0. On error, -1 is returned, and
errno is set according to the error
encountered.
Errors
The following error codes should be returned under the conditions
given. Other error codes may be returned for other errors not
mentioned here.
| | |
| EBADF | fd was not a valid file handle. |
| EIOCTL | code was an invalid ioctl for the
object referenced. |
| EFAULT | data was required by the operation
requested, but was an invalid pointer. |


IntelliJ IDEA activation server
IntelliJ IDEA Activation Code
Select "License server" and input "http://codeyu-jetbrains.daoapp.io" and click "OK" activation JetBrains' product.
Please go to here https://www.jetbrains.com/idea/buy buy genuine, thanks!


During the design challenge we had to build a structure from preventing a golf ball to touch the ground. We had straws, limited tape and only three straws could touch the ground. In the second part of the challenge we had to build the tallest newspaper skyscraper. My group one both of the challenges with a short standing challenge and wrapping the golf ball with straws.


Deuteronomy
- Historical Prologue
- General Stipulations
- Specific Stipulations
- Covenant Renewal
- Israel's Future
Joshua
- Trusting as God's People
- Trusting in God's Faithful Savior
- Trusting God for Land
- Trusting God for Rest
Judges
- Require Separation as God's People
- God's Punishment Leads to Repentance
- Perfect Savior Leads to True Rest
Deuteronomy
The Covenant Renewed
General Stipulations
Love & Faithfulness
Chs. 5-11
Specific Stipulations
Justice and Holiness
- Structure Shaped by Ten Commandments
- Application Redeption History
- Categories Moral, Civil, Ceremonial
- Today?Follow New Testment Instruction
Understand God's Character
Appreciate Jesus' Perfection
Covenant Renewal
Moses' Third Speech
- 28:10-11 Blessings
- 28:36-37 Curses
- 29:4 Covenant demands a new heart
- Hope in God's Gace
30:2-3Restoration for those who repent
30:6God will circumcise the heart
Israel's Future
- 32:18 Exile
- 32:43 Restoration and atonement
- 18:18 &
34:10-11 The prophet to come
Joshua
Trusting a faithful savior to lead God's people to land and rest
Key Themes
- Trusting as God's People
- Trusting in God's Faithful Savior
- Trusting God for Land
- Trusting God for Rest
Judges
Requiring a perfect savior to maintain this land and rest
Key Themes
Require Separation as God's People
Being influenced by the world
God's Punishment Leads to Repentance
Sin's consequences often bring us to God
Perfect Savior Leads to True Rest
Only Jesus gives ultimate rest
Thanks
This material is adapted from a course with the same name developed by Capitol Hill Baptist Church.
It has been modified for our purposes and has been condensed to fit our time schedule. We encourage
you to
visit their site and review the entire curriculum in its original form


UIScrollView
public extension UIScrollView
-
Undocumented
Declaration
Swift
class func construct(verticalContent: Bool) -> Self
-
Undocumented
Declaration
Swift
class func construct(horizontalContent: Bool) -> Self
-
Undocumented
Declaration
Swift
@discardableResult func content<View>(horizontal view: View) -> View where View : UIView
-
Undocumented
Declaration
Swift
@discardableResult func content<View>(vertical view: View) -> View where View : UIView
-
Undocumented
Declaration
Swift
@discardableResult func contentWidthByLastContentSubview(padding: CGFloat = 0) -> Self
-
Undocumented
Declaration
Swift
@discardableResult func content(width: CGFloat) -> Self
-
Undocumented
Declaration
Swift
@discardableResult func contentSize(width: CGFloat) -> Self
-
Undocumented
Declaration
Swift
@discardableResult func contentHeightByLastVisibleSubview(padding: CGFloat = 0) -> Self
-
Undocumented
Declaration
Swift
@discardableResult func content(height: CGFloat) -> Self
-
Undocumented
Declaration
Swift
@discardableResult func contentOffset(top: CGFloat, animated: Bool = true) -> Self
-
Undocumented
Declaration
Swift
@discardableResult func contentOffset(left: CGFloat, animated: Bool = true) -> Self


Bulk Editor - is a component that enables changing attribute values for several entity instances at once.
Bulk Editor
The component is a button, usually added to a Table, DataGrid or a Tree, which opens the entity bulk editor on click.


Construct a new Section for yodel.
a Format
object to encode this section. see Section.format
Values for the fields layed out in the Format
object. see Section.fields
Any extra bytes that could not be encoded, or a raw string. see Section.payload
fields holds the values assigned to the different Field
objects in Section.format
.
They are organized like this:
{
"fieldname": fieldValue
}
For each field lined up in Section.format
.
The Format
object which lays out the fields.
In cases where yodel is being used to send raw strings outside of Section
objects,
payload will contain the raw string on the receiving end. Otherwise, payload contains any
extra bytes that could not be assigned to fields.
Generated using TypeDoc
A Section object is used to encode values organized by
Field
objects within aFormat
object. A singleFormat
encodes mulpipleField
objects, which are assigned values inside a section object.A Section object is what you send through yodel, and what you will receive. (For smaller projects you can also send and receive unformatted strings).