quspin.operators.exp_op¶
-
class
quspin.operators.
exp_op
(O, a=1.0, start=None, stop=None, num=None, endpoint=None, iterate=False)[source]¶ Constructs matrix exponentials of quantum operators.
The exp_op class does not calculate the actual matrix exponential but instead computes the action of the matrix exponential through its Taylor series. This is slower but for sparse arrays it is more memory efficient. All of the functions make use of the expm_multiply function in Scipy’s sparse library.
This class also allows the option to specify a grid of points on a line in the complex plane via the optional arguments. If this is specified, then an array grid is created via the function numpy.linspace, and the exponential is evaluated for all points on te grid: exp(a*grid[i]*O).
Notes
To calculate the matrix exponential itself, use the function method exp_op.get_mat().
For a faster computations, look up the tools.expm_multiply_parallel function.
Examples
The Example below shows how to compute the time-evolvution of a state under a constant Hamiltonian. This is done using the matrix exponential to define the evolution operator and then applying it directly onto the initial state.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39
from quspin.operators import hamiltonian, exp_op # Hamiltonians, operators and exp_op from quspin.basis import spin_basis_1d # Hilbert space spin basis import numpy as np # generic math functions # ##### define model parameters ##### L=4 # system size J=1.0 # spin interaction g=0.809 # transverse field h=0.9045 # parallel field # ##### construct basis basis=spin_basis_1d(L=L) # define PBC site-coupling lists for operators x_field=[[g,i] for i in range(L)] z_field=[[h,i] for i in range(L)] J_nn=[[J,i,(i+1)%L] for i in range(L)] # PBC # static and dynamic lists static=[["zz",J_nn],["z",z_field],["x",x_field]] dynamic=[] ###### construct Hamiltonian H=hamiltonian(static,dynamic,dtype=np.float64,basis=basis) # ###### compute evolution operator as matrix exponential start, stop, N_t = 0.0, 4.0, 21 # time vector parameters # define evolution operator U=exp_op(H,a=-1j,start=start,stop=stop,num=N_t,endpoint=True,iterate=True) print(U) # # compute domain wall initial state dw_str = "".join("1" for i in range(L//2)) + "".join("0" for i in range(L-L//2)) i_0 = basis.index(dw_str) # find index of product state in basis psi = np.zeros(basis.Ns) # allocate space for state psi[i_0] = 1.0 # set MB state to be the given product state # ##### calculate time-evolved state by successive application of matrix exponential psi_t=U.dot(psi) # create generator object to apply matrix exponential on the initial state print(psi_t) for psi_i in psi_t: print("evolved state:", psi_i)
Attributes: H
exp_op
: transposes and conjugates the matrix exponential.Ns
int: number of states in the (symmetry-reduced) Hilbert space spanned by basis.
O
obj: Returns the operator to be exponentiated.
T
exp_op
: transposes the matrix exponential.a
numpy.dtype: constant (c-number) multiplying the operator to be exponentiated: exp(a*O).
get_shape
tuple: shape of the hamiltonian object, always equal to (Ns,Ns).
grid
numpy.array: grid containing equidistant points to evaluate the matrix exponential at.
iterate
bool: shows if iterate option is on/off.
ndim
int: number of dimensions, always equal to 2.
step
float: step size between equidistant grid points.
Methods
conj
()Conjugates exp_op operator. copy
()Returns a deep copy of exp_op object. dot
(other[, shift])Left-multiply operator by matrix exponential. getH
([copy])Calculates hermitian conjugate of exp_op operator. get_mat
([dense])Calculates matrix corresponding to matrix exponential object: exp(a*O). rdot
(other[, shift])Right-multiply an operator by matrix exponential. sandwich
(other[, shift])Sandwich operator between matrix exponentials. set_a
(new_a)Resets attribute a to multiply the operator in exp(a*O). set_grid
(start, stop[, num, endpoint])Resets attribute grid to evaluate the operator for every i in exp(a*O*grid[i]). set_iterate
(Value)Resets iterate attribute. transpose
([copy])Transposes exp_op operator. unset_grid
()Resets grid parameters to their default values. -
__init__
(O, a=1.0, start=None, stop=None, num=None, endpoint=None, iterate=False)[source]¶ Initialises the exp_op object (matrix exponential of the operator O).
Parameters: - O : obj
numpy.ndarray, scipy.spmatrix, hamiltonian, quantum_operator object: the operator to compute the matrix exponential of.
- a : numpy.dtype, optional
Prefactor to go in front of the operator in the exponential: exp(a*O). Can be a complex number. Default is a = 1.0.
- start : scalar, optional
Specifies the starting point for a grid of points to evaluate the matrix exponential at.
- stop : scalar, optional
Specifies the end point of for a grid of points to evaluate the matrix exponential at.
- num : int, optional
Specifies the number of grid points between start and stop. Default is num = 50.
- endpoint : bool, optional
Wehether or not the value stop is included in the set of grid points. Note that this changes the grid step size.
- iterate : bool, optional
If set to True class methods return generators which will iterate over the grid points.
If set to False, a list of all the evaluated points is produced. This is more memory efficient but at the sacrifice of speed.
Default is False.
Methods
__init__
(O[, a, start, stop, num, endpoint, …])Initialises the exp_op object (matrix exponential of the operator O). conj
()Conjugates exp_op operator. copy
()Returns a deep copy of exp_op object. dot
(other[, shift])Left-multiply operator by matrix exponential. getH
([copy])Calculates hermitian conjugate of exp_op operator. get_mat
([dense])Calculates matrix corresponding to matrix exponential object: exp(a*O). rdot
(other[, shift])Right-multiply an operator by matrix exponential. sandwich
(other[, shift])Sandwich operator between matrix exponentials. set_a
(new_a)Resets attribute a to multiply the operator in exp(a*O). set_grid
(start, stop[, num, endpoint])Resets attribute grid to evaluate the operator for every i in exp(a*O*grid[i]). set_iterate
(Value)Resets iterate attribute. transpose
([copy])Transposes exp_op operator. unset_grid
()Resets grid parameters to their default values. Attributes
H
exp_op
: transposes and conjugates the matrix exponential.Ns
int: number of states in the (symmetry-reduced) Hilbert space spanned by basis. O
obj: Returns the operator to be exponentiated. T
exp_op
: transposes the matrix exponential.a
numpy.dtype: constant (c-number) multiplying the operator to be exponentiated: exp(a*O). get_shape
tuple: shape of the hamiltonian object, always equal to (Ns,Ns). grid
numpy.array: grid containing equidistant points to evaluate the matrix exponential at. iterate
bool: shows if iterate option is on/off. ndim
int: number of dimensions, always equal to 2. step
float: step size between equidistant grid points. -
Ns
¶ int: number of states in the (symmetry-reduced) Hilbert space spanned by basis.
-
O
¶ obj: Returns the operator to be exponentiated.
-
a
¶ numpy.dtype: constant (c-number) multiplying the operator to be exponentiated: exp(a*O).
-
conj
()[source]¶ Conjugates exp_op operator.
Returns: - :obj:`exo_op`
\(\exp(a\mathcal{O})_{ij}\mapsto \exp(a\mathcal{O})_{ij}^*\)
Notes
This function does NOT transpose the exponentiated operator.
Examples
>>> expO_conj = expO.conj()
-
dot
(other, shift=None, **call_kwargs)[source]¶ Left-multiply operator by matrix exponential.
Let the matrix exponential object be \(\exp(\mathcal{O})\) and let the operator be \(A\). Then this funcion implements:
\[\exp(\mathcal{O}) A\]Parameters: - other : obj
The operator \(A\) which multiplies from the right the matrix exponential \(\exp(\mathcal{O})\).
- shift : scalar
Shifts operator to be exponentiated by a constant shift times te identity matrix: \(\exp(\mathcal{O} - \mathrm{shift}\times\mathrm{Id})\).
- call_kwargs : obj, optional
- extra keyword arguments which include:
time (scalar) - if the operator O to be exponentiated is a hamiltonian object. pars (dict) - if the operator O to be exponentiated is a quantum_operator object.
Returns: - obj
matrix exponential multiplied by other from the right.
Examples
>>> expO = exp_op(O) >>> A = exp_op(O,a=2j).get_mat() >>> print(expO.dot(A))
-
getH
(copy=False)[source]¶ Calculates hermitian conjugate of exp_op operator.
Parameters: - copy : bool, optional
Whether to return a deep copy of the original object. Default is copy = False.
Returns: - :obj:`exp_op`
\(\exp(a\mathcal{O})_{ij}\mapsto \exp(a\mathcal{O})_{ij}^*\)
Examples
>>> expO_herm = expO.getH()
-
get_mat
(dense=False, **call_kwargs)[source]¶ Calculates matrix corresponding to matrix exponential object: exp(a*O).
Parameters: - dense : bool
Whether or not to return a dense or a sparse array. Detault is dense = False.
- call_kwargs : obj, optional
- extra keyword arguments which include:
time (scalar) - if the operator O to be exponentiated is a hamiltonian object. pars (dict) - if the operator O to be exponentiated is a quantum_operator object.
Returns: - obj
Can be either one of
- numpy.ndarray: dense array if dense = True.
- scipy.sparse.csc: sparse array if dense = False.
Examples
>>> expO = exp_op(O) >>> print(expO.get_mat(time=0.0)) >>> print(expO.get_mat(time=0.0,dense=True))
-
get_shape
¶ tuple: shape of the hamiltonian object, always equal to (Ns,Ns).
-
grid
¶ numpy.array: grid containing equidistant points to evaluate the matrix exponential at.
-
iterate
¶ bool: shows if iterate option is on/off.
-
ndim
¶ int: number of dimensions, always equal to 2.
-
rdot
(other, shift=None, **call_kwargs)[source]¶ Right-multiply an operator by matrix exponential.
Let the matrix exponential object be \(\exp(\mathcal{O})\) and let the operator be \(A\). Then this funcion implements:
\[A \exp(\mathcal{O})\]Parameters: - other : obj
The operator \(A\) which multiplies from the left the matrix exponential \(\exp(\mathcal{O})\).
- shift : scalar
Shifts operator to be exponentiated by a constant shift times the identity matrix: \(\exp(\mathcal{O} - \mathrm{shift}\times\mathrm{Id})\).
- call_kwargs : obj, optional
- extra keyword arguments which include:
time (scalar) - if the operator O to be exponentiated is a hamiltonian object. pars (dict) - if the operator O to be exponentiated is a quantum_operator object.
Returns: - obj
matrix exponential multiplied by other from the left.
Notes
For hamiltonian objects A, this function is the same as A.dot(expO).
Examples
>>> expO = exp_op(O) >>> A = exp_op(O,a=2j).get_mat() >>> print(expO.rdot(A)) >>> print(A.dot(expO))
-
sandwich
(other, shift=None, **call_kwargs)[source]¶ Sandwich operator between matrix exponentials.
Let the matrix exponential object be \(\exp(\mathcal{O})\) and let the operator to be sandwiched be \(C\). Then this funcion implements:
\[\exp(\mathcal{O})^\dagger C \exp(\mathcal{O})\]Parameters: - other : obj
The operator \(C\) to be sandwiched by the matrix exponentials \(\exp(\mathcal{O})^\dagger\) and \(\exp(\mathcal{O})\).
- shift : scalar
Shifts operator to be exponentiated by a constant shift times the identity matrix: \(\exp(\mathcal{O} - \mathrm{shift}\times\mathrm{Id})\).
- call_kwargs : obj, optional
- extra keyword arguments which include:
time (scalar) - if the operator O to be exponentiated is a hamiltonian object. pars (dict) - if the operator O to be exponentiated is a quantum_operator object.
Returns: - obj
operator other sandwiched between matrix exponential exp_op and its hermitian conjugate.
Notes
The matrix exponential to multiply \(C\) from the left is hermitian conjugated.
Examples
>>> expO = exp_op(O,a=1j) >>> A = exp_op(O.H) >>> print(expO.sandwich(A))
-
set_a
(new_a)[source]¶ Resets attribute a to multiply the operator in exp(a*O).
Parameters: - new_a : numpy.dtype
New value for a.
Examples
>>> expO = exp_op(O,a=1.0) >>> print(expO.a) >>> expO.set_a(2.0) >>> print(expO.a)
-
set_grid
(start, stop, num=None, endpoint=None)[source]¶ Resets attribute grid to evaluate the operator for every i in exp(a*O*grid[i]).
Parameters: - start : scalar, optional
Specifies the new starting point for a grid of points to evaluate the matrix exponential at.
- stop : scalar, optional
Specifies the new end point of for a grid of points to evaluate the matrix exponential at.
- num : int, optional
Specifies the new number of grid points between start and stop. Default is num = 50.
- endpoint : bool, optional
Wehether or not the value stop is included in the set of grid points. Note that this changes the grid step size.
Examples
>>> expO = exp_op(O,start=0.0,stop=6.0,num=601,endpoint=True) >>> print(expO.grid) >>> expO.set_grid(start=2.0,stop=4.0,num=200,endpoint=False) >>> print(expO.grid)
-
set_iterate
(Value)[source]¶ Resets iterate attribute.
Parameters: - Value : bool
New value for iterate attribute.
Examples
>>> expO = exp_op(O,iterate=True) >>> print(expO.iterate) >>> expO.set_a(False) >>> print(expO.iterate)
-
step
¶ float: step size between equidistant grid points.


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Protocol
TestTool
public protocol TestTool
Represents a tool for testing scenarios managed by playbooks.
Relationships
Types Conforming to TestTool
Snapshot
The testing tool which generates snapshot images from scenarios managed by
Playbook
.
Requirements
run(with:)
func run(with playbook: Playbook) throws
Runs testing for passed Playbook
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A |


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@import data.{DASUser, SchemeClaimRow}
@(form: Form[_], user: DASUser, claimedSchemes: Seq[SchemeClaimRow])
@proposition = {
}
@main("Welcome to DAS", insideHeader = proposition) {
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} else {
Your claimed schemes
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Claim a scheme
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Top 5 Benefits of Healthy Foods :
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4.Better mood and energy levels
5.Improved memory and brain health
Healthy eating means eating a variety of foods that give you the nutrients you need to maintain your health, feel good, and have energy. These nutrients include protein, carbohydrates, fat, water, vitamins, and minerals.


public class RobotTags
extends javax.swing.text.html.HTMLEditorKit.ParserCallback
Note: RobotTags also has an extra feature which is used in the end of
the program:
remover() method
| Modifier and Type | Field and Description |
|---|---|
static java.util.ArrayList<java.lang.Boolean> |
mIndex |
static java.util.ArrayList<java.lang.Boolean> |
thread1_mFollow |
static java.util.ArrayList<java.lang.Boolean> |
thread1_mIndex |
static java.util.ArrayList<java.lang.Boolean> |
thread2_mFollow |
static java.util.ArrayList<java.lang.Boolean> |
thread2_mIndex |
static java.util.ArrayList<java.lang.Boolean> |
thread3_mFollow |
static java.util.ArrayList<java.lang.Boolean> |
thread3_mIndex |
| Constructor and Description |
|---|
RobotTags() |
| Modifier and Type | Method and Description |
|---|---|
static void |
checkAccess(java.lang.String link)
checkAccess is the second method of this class.
|
void |
handleSimpleTag(javax.swing.text.html.HTML.Tag t,
javax.swing.text.MutableAttributeSet a,
int pos)
handleSimpleTag is called by the checkAccess method.
|
static void |
remover()
remover is the first method of this class.
|
public static java.util.ArrayList<java.lang.Boolean> thread1_mIndex
public static java.util.ArrayList<java.lang.Boolean> thread1_mFollow
public static java.util.ArrayList<java.lang.Boolean> thread2_mIndex
public static java.util.ArrayList<java.lang.Boolean> thread2_mFollow
public static java.util.ArrayList<java.lang.Boolean> thread3_mIndex
public static java.util.ArrayList<java.lang.Boolean> thread3_mFollow
public static java.util.ArrayList<java.lang.Boolean> mIndex
public static void remover()
remover is the first method of this class. It removes all the links from the finalist that are noindexable and got retrieved because they were followable.
public static void checkAccess(java.lang.String link)
checkAccess is the second method of this class. It established an HTTP connection with the link and turns all the variables into true to be ready for the robot tags check session.
link
- which is the link to be checkedIOException
- which occurs when a link is malformed.
public void handleSimpleTag(javax.swing.text.html.HTML.Tag t, javax.swing.text.MutableAttributeSet a, int pos)
handleSimpleTag is called by the checkAccess method. When a "t" tag is met , it checks if the attribute NAME is robots. If it is then it checks the attribute CONTENT. It only checks if the attribute CONTENT is "follow", "nofollow", "index" or "noindex". If the CONTENT has "nofollow" it turns the right variable into false to tell to LinkRetrieve to not retrieve the links that are in the link it currently is, if not OR has "follow", the variable will stay true and it means that LinkRetrieve can retrieve them. If the CONTENT has "noindex" it turns the right variable into false to tell to LinkRetrieve to not add the link it currently is in the list, if not OR has "index", the variable will stay true and it means that LinkRetrieve can add it.
handleSimpleTag
in class javax.swing.text.html.HTMLEditorKit.ParserCallback
t
- an HTML.Tag.a
- MutableAttributeSetint
- positionNoSuchElementException
- which occurs when an html link does NOT contain at least a
link with an HREF attribute, hence the enumeration remains
empty.IOException
- Input/Output Exception.java.lang.InterruptedException
- which occurs when any one of the threads is interrupted.


1. Got blocked on a simple problem
2. Solved a problem in a elegant way
The simple problem was that the code seemed perfectly corrected with no errors, yet it isn't working.
I reviewed and read over all the code and found out that it was either a simple spelling or a simple } bracket
A little bit confused but I knew that it would be a small issue that would be found and fixed
Nothing is ever perfect and that you will make mistakes. You learn from your mistakes.
Reading error messages - Always the first option and usually I would see where the problem is
Trying something - Naturally it would come after reading the error message and sometimes it works
Googling - stackoverflow usually comes up and is most helpful when I am lost
Asking coaches for help - At this moment of time I don't feel confident in asking the tutors for help at all
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Method List
Search:
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<< Ruff::Effect
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#args Ruff::Throws::Eff
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#async Ruff::Standard::Async::Instance
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async Ruff::Standard::Async
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#await Ruff::Standard::Async::Instance
-
await Ruff::Standard::Async
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#eff Ruff::Throws::Resend
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#eff Ruff::Standard::Async::Instance
-
#eff Ruff::Standard::Async
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#eff Ruff::Standard::CurrentTime::Instance
-
#eff Ruff::Standard::CurrentTime
-
#eff Ruff::Standard::Defer::Instance
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#eff Ruff::Standard::Defer
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#eff Ruff::Standard::MeasureTime::Instance
-
#eff Ruff::Standard::MeasureTime
-
#eff Ruff::Standard::State::Instance
-
#eff Ruff::Standard::State
-
#get Ruff::Standard::CurrentTime::Instance
-
get Ruff::Standard::CurrentTime
-
#get Ruff::Standard::State::Instance
-
get Ruff::Standard::State
-
handler Ruff
-
#id Ruff::Effect
-
#id Ruff::Throws::Eff
-
#initialize Ruff::Effect
-
#initialize Ruff::Handler
-
#initialize Ruff::Throws::Eff
-
#initialize Ruff::Throws::Resend
-
#initialize Ruff::Standard::Async::Instance
-
#initialize Ruff::Standard::CurrentTime::Instance
-
#initialize Ruff::Standard::Defer::Instance
-
#initialize Ruff::Standard::MeasureTime::Instance
-
#initialize Ruff::Standard::State::Instance
-
instance Ruff
-
#k Ruff::Throws::Resend
-
#measure Ruff::Standard::MeasureTime::Instance
-
measure Ruff::Standard::MeasureTime
-
#modify Ruff::Standard::State::Instance
-
modify Ruff::Standard::State
-
#on Ruff::Handler
-
#perform Ruff::Effect
-
#put Ruff::Standard::State::Instance
-
put Ruff::Standard::State
-
#register Ruff::Standard::Defer::Instance
-
register Ruff::Standard::Defer
-
reset Ruff::Standard::DelimCtrl
-
#run Ruff::Handler
-
shift Ruff::Standard::DelimCtrl
-
#to Ruff::Handler
-
#with Ruff::Standard::Async::Instance
-
with Ruff::Standard::Async
-
#with Ruff::Standard::CurrentTime::Instance
-
with Ruff::Standard::CurrentTime
-
#with Ruff::Standard::Defer::Instance
-
with Ruff::Standard::Defer
-
#with Ruff::Standard::MeasureTime::Instance
-
with Ruff::Standard::MeasureTime
-
#with Ruff::Standard::State::Instance
-
with Ruff::Standard::State
-
#with_init Ruff::Standard::State::Instance
-
with_init Ruff::Standard::State
-
#yield Ruff::Standard::Async::Instance
-
yield Ruff::Standard::Async


This article provides a set of guidelines to migrate from 4 to latest 5 version. During the development, we spent a lot of time trying to avoid any breaking changes. Nevertheless, the API had to change in a bunch of places in order to simplify its usage. Also, the previous version has been limited due to decisions that have been made at the very early stage. Now, we are less opinionated and even more powerful than before.
In order to decrease the number of differences between Nest and Angular,
few changes have been made regarding @Module()
decorator.
modules
property is now deprecated. Use imports
insteadcomponents
property is now deprecated. Use providers
instead
The @Component()
, @Middleware()
, @Interceptor()
, @Pipe()
, and @Guard()
are deprecated now.
Use @Injectable()
instead.
The MiddlewaresConsumer
class has been changed to MiddlewareConsumer
.
Also, the ExpressMiddleware
no longer exists, use MiddlewareFunction
interface instead.
The exception filters aren't locked in as single-paradigm anymore.
Previously, an exception filter had an access to the response
object.
Together with an incoming release, catch()
method takes ArgumentsHost
instance instead.
This object is well described here.
Thanks to that, you have an access to each argument, including response
object.
{{ filters }}
{{ filtersJs }}
The same as filters, guards are far more flexible now. An access to the enhanced ExecutionContext
(read more) gives guards more superpowers and all of that has been built on top of simplified API.
{{ guards }}
{{ guardsJs }}
The interceptors API evolved in the exact same way as equivalent guards API.
{{ interceptors }}
{{ interceptorsJs }}
The createRouteParamDecorator()
function is deprecated. Use createParamDecorator()
now.
We follow the Node.js release schedule which recently moved to 8.x
as an active LTS version.
Therefore, Nest 5 supports >= 8.9.0
as the lowest version now.
This shift gaves us sustainable performance boosts thanks to the es2017
target of the TypeScript compilation.
Nest 5 doesn't support rxjs < 6.0.0. Keep in mind to upgrade this package as well.


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Reflection
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Why
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How
2015
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More than 80 held in Algiers protest: rights group
Authorities arrested more than 80 people during a night-time protest in the Algerian capital, a prisoners' rights group said on Friday.
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Bouteflika quit in April after popular pressure.
The CNLD prisoners' rights committee said most of those detained in Thursday night's protest were taken to police stations in the suburbs of Algiers.
Hundreds of Algerians had turned out for the second night in a row to voice their anger over the presidential poll set for December 12.
They did so hours after an examining magistrate charged 29 people arrested during a similar protest on Wednesday night with holding an "unauthorised gathering".
Five candidates are to contest next month's election after the ailing Bouteflika, 82, was forced to step down after mass demonstrations in February against his bid for a fifth term.
Algeria has since seen weekly protests demanding major reforms to a political system that has been in place since independence from France in 1962.
On Friday, several hundred people had already gathered in central Algiers hours before the start of the 40th weekly protests, journalists posted on social networks.
Dozens of people have been arrested since the election campaign began last Sunday. Four were sentenced on Monday to 18 months in jail and 14 received suspended terms for disrupting a meeting.
"This is a campaign of repression, not an election campaign," chanted protesters seen in video footage released online by the independent news site TSA.


Treebank Statistics: UD_Korean-PUD: Features: Tense
This feature is universal.
It occurs with 2 different values: Fut
, Past
.
673 tokens (4%) have a non-empty value of Tense
.
361 types (4%) occur at least once with a non-empty value of Tense
.
26 lemmas (1%) occur at least once with a non-empty value of Tense
.
The feature is used with 4 part-of-speech tags: VERB (447; 3% instances), AUX (150; 1% instances), ADJ (57; 0% instances), PART (19; 0% instances).
VERB
447 VERB tokens (31% of all VERB
tokens) have a non-empty value of Tense
.
The most frequent other feature values with which VERB
and Tense
co-occurred: Mood=EMPTY (247; 55%), VerbForm=EMPTY (243; 54%).
VERB
tokens may have the following values of Tense
:
Fut
(26; 6% of non-emptyTense
): 될, 일어날, 나갈, 날, 내릴, 늦추어질, 다가올, 돌아올, 드러낼, 만들Past
(421; 94% of non-emptyTense
): 되었다, 된, 했다, 받았다, 한, 밝혔다, 않았다, 일어난, 일어났다, 가진EMPTY
(992): 대한, 대해, 있다, 위해, 통해, 한다, 위한, 라는, 따르면, 될
AUX
150 AUX tokens (23% of all AUX
tokens) have a non-empty value of Tense
.
The most frequent other feature values with which AUX
and Tense
co-occurred: Form=EMPTY (96; 64%), VerbForm=Fin (93; 62%), Mood=Ind (89; 59%).
AUX
tokens may have the following values of Tense
:
Fut
(2; 1% of non-emptyTense
): 않을, 있을Past
(148; 99% of non-emptyTense
): 이었다, 였다, 않았다, 못했다, 있던, 했다, 이었던, 냈다, 놓은, 버린EMPTY
(513): 인, 이다, 이라, 있다, 있는, 이며, 일, 라, 이고, 가
| Paradigm 있 | Fut | Past |
|---|---|---|
| Form=Adn | 있을 | 있던, 있었던 |
| Form=Compl | 있었으며 | |
| Mood=Ind|VerbForm=Fin | 있었다 |
ADJ
57 ADJ tokens (9% of all ADJ
tokens) have a non-empty value of Tense
.
The most frequent other feature values with which ADJ
and Tense
co-occurred: Form=EMPTY (38; 67%), Mood=Ind (37; 65%), VerbForm=Fin (37; 65%).
ADJ
tokens may have the following values of Tense
:
Fut
(1; 2% of non-emptyTense
): 있을Past
(56; 98% of non-emptyTense
): 있었다, 없었다, 아니었다, 없었던, 있던, 있었던, 있었으며, 갑갑했던, 같았다, 많았다EMPTY
(572): 있는, 있다, 같은, 새로운, 큰, 많은, 이러한, 없는, 높은, 아니다
PART
19 PART tokens (4% of all PART
tokens) have a non-empty value of Tense
.
The most frequent other feature values with which PART
and Tense
co-occurred: Case=EMPTY (18; 95%), VerbForm=Fin (18; 95%), Polite=EMPTY (14; 74%).
PART
tokens may have the following values of Tense
:
Fut
(3; 16% of non-emptyTense
): 내리겠다고, 떠나겠다고, 않겠다고Past
(16; 84% of non-emptyTense
): 나뉘어졌는가를, 나는군요, 나왔나요, 만들었다고, 물었다고, 벌어졌다고, 보였다고, 싸웠다고, 얻었다고, 좋아했어요EMPTY
(459): 는, 의, 고, 에, 도, 라고, 가, 와, 에서, 이
Tense
seems to be lexical feature of PART
. 100% lemmas (19) occur only with one value of Tense
.
Relations with Agreement in Tense
The 10 most frequent relations where parent and child node agree in Tense
:
VERB –[conj]–> VERB (1; 100%).


public abstract class VolatileImage extends Image implements Transparency
The drawing surface of an image (the memory where the image contents actually reside) can be lost or invalidated, causing the contents of that memory to go away. The drawing surface thus needs to be restored or recreated and the contents of that surface need to be re-rendered. VolatileImage provides an interface for allowing the user to detect these problems and fix them when they occur.
When a VolatileImage object is created, limited system resources such as video memory (VRAM) may be allocated in order to support the image. When a VolatileImage object is no longer used, it may be garbage-collected and those system resources will be returned, but this process does not happen at guaranteed times. Applications that create many VolatileImage objects (for example, a resizing window may force recreation of its back buffer as the size changes) may run out of optimal system resources for new VolatileImage objects simply because the old objects have not yet been removed from the system. (New VolatileImage objects may still be created, but they may not perform as well as those created in accelerated memory). The flush method may be called at any time to proactively release the resources used by a VolatileImage so that it does not prevent subsequent VolatileImage objects from being accelerated. In this way, applications can have more control over the state of the resources taken up by obsolete VolatileImage objects.
This image should not be subclassed directly but should be created
by using the Component.createVolatileImage
or
GraphicsConfiguration.createCompatibleVolatileImage(int, int)
methods.
An example of using a VolatileImage object follows:
// image creation VolatileImage vImg = createVolatileImage(w, h); // rendering to the image void renderOffscreen() { do { if (vImg.validate(getGraphicsConfiguration()) == VolatileImage.IMAGE_INCOMPATIBLE) { // old vImg doesn't work with new GraphicsConfig; re-create it vImg = createVolatileImage(w, h); } Graphics2D g = vImg.createGraphics(); // // miscellaneous rendering commands... // g.dispose(); } while (vImg.contentsLost()); } // copying from the image (here, gScreen is the Graphics // object for the onscreen window) do { int returnCode = vImg.validate(getGraphicsConfiguration()); if (returnCode == VolatileImage.IMAGE_RESTORED) { // Contents need to be restored renderOffscreen(); // restore contents } else if (returnCode == VolatileImage.IMAGE_INCOMPATIBLE) { // old vImg doesn't work with new GraphicsConfig; re-create it vImg = createVolatileImage(w, h); renderOffscreen(); } gScreen.drawImage(vImg, 0, 0, this); } while (vImg.contentsLost());
Note that this class subclasses from the Image
class, which
includes methods that take an ImageObserver
parameter for
asynchronous notifications as information is received from
a potential ImageProducer
. Since this VolatileImage
is not loaded from an asynchronous source, the various methods that take
an ImageObserver
parameter will behave as if the data has
already been obtained from the ImageProducer
.
Specifically, this means that the return values from such methods
will never indicate that the information is not yet available and
the ImageObserver
used in such methods will never
need to be recorded for an asynchronous callback notification.
| Modifier and Type | Field and Description |
|---|---|
static int |
IMAGE_INCOMPATIBLE
Validated image is incompatible with supplied
GraphicsConfiguration object and should be
re-created as appropriate. |
static int |
IMAGE_OK
Validated image is ready to use as-is.
|
static int |
IMAGE_RESTORED
Validated image has been restored and is now ready to use.
|
protected int |
transparency
The transparency value with which this image was created.
|
accelerationPriority, SCALE_AREA_AVERAGING, SCALE_DEFAULT, SCALE_FAST, SCALE_REPLICATE, SCALE_SMOOTH, UndefinedProperty
BITMASK, OPAQUE, TRANSLUCENT
| Constructor and Description |
|---|
VolatileImage() |
| Modifier and Type | Method and Description |
|---|---|
abstract boolean |
contentsLost()
Returns
true if rendering data was lost since last
validate call. |
abstract Graphics2D |
createGraphics()
Creates a
Graphics2D , which can be used to draw into
this VolatileImage . |
abstract ImageCapabilities |
getCapabilities()
Returns an ImageCapabilities object which can be
inquired as to the specific capabilities of this
VolatileImage.
|
Graphics |
getGraphics()
This method returns a
Graphics2D , but is here
for backwards compatibility. |
abstract int |
getHeight()
Returns the height of the
VolatileImage . |
abstract BufferedImage |
getSnapshot()
Returns a static snapshot image of this object.
|
ImageProducer |
getSource()
This returns an ImageProducer for this VolatileImage.
|
int |
getTransparency()
Returns the transparency.
|
abstract int |
getWidth()
Returns the width of the
VolatileImage . |
abstract int |
validate(GraphicsConfiguration gc)
Attempts to restore the drawing surface of the image if the surface
had been lost since the last
validate call. |
flush, getAccelerationPriority, getCapabilities, getHeight, getProperty, getScaledInstance, getWidth, setAccelerationPriority
public static final int IMAGE_OK
public static final int IMAGE_RESTORED
public static final int IMAGE_INCOMPATIBLE
GraphicsConfiguration
object and should be
re-created as appropriate. Usage of the image as-is
after receiving this return code from validate
is undefined.protected int transparency
public abstract BufferedImage getSnapshot()
BufferedImage
returned is only current with
the VolatileImage
at the time of the request
and will not be updated with any future changes to the
VolatileImage
.BufferedImage
representation of this
VolatileImage
BufferedImage
public abstract int getWidth()
VolatileImage
.VolatileImage
.public abstract int getHeight()
VolatileImage
.VolatileImage
.public ImageProducer getSource()
getSource
may not perform as fast as
operations that do not rely on reading the pixels.
Note also that the pixel values read from the image are current
with those in the image only at the time that they are
retrieved. This method takes a snapshot
of the image at the time the request is made and the
ImageProducer object returned works with
that static snapshot image, not the original VolatileImage.
Calling getSource()
is equivalent to calling getSnapshot().getSource().getSource
in class Image
ImageProducer
that can be used to produce the
pixels for a BufferedImage
representation of
this Image.ImageProducer
,
getSnapshot()
public Graphics getGraphics()
Graphics2D
, but is here
for backwards compatibility. createGraphics
is more
convenient, since it is declared to return a
Graphics2D
.getGraphics
in class Image
Graphics2D
, which can be used to draw into
this image.Graphics
,
Component.createImage(int, int)
public abstract Graphics2D createGraphics()
Graphics2D
, which can be used to draw into
this VolatileImage
.Graphics2D
, used for drawing into this
image.public abstract int validate(GraphicsConfiguration gc)
validate
call. Also
validates this image against the given GraphicsConfiguration
parameter to see whether operations from this image to the
GraphicsConfiguration are compatible. An example of an
incompatible combination might be a situation where a VolatileImage
object was created on one graphics device and then was used
to render to a different graphics device. Since VolatileImage
objects tend to be very device-specific, this operation might
not work as intended, so the return code from this validate
call would note that incompatibility. A null or incorrect
value for gc may cause incorrect values to be returned from
validate
and may cause later problems with rendering.gc
- a GraphicsConfiguration
object for this
image to be validated against. A null gc implies that the
validate method should skip the compatibility test.IMAGE_OK
if the image did not need validationIMAGE_RESTORED
if the image needed restoration.
Restoration implies that the contents of the image may have
been affected and the image may need to be re-rendered.IMAGE_INCOMPATIBLE
if the image is incompatible
with the GraphicsConfiguration
object passed
into the validate
method. Incompatibility
implies that the image may need to be recreated with a
new Component
or
GraphicsConfiguration
in order to get an image
that can be used successfully with this
GraphicsConfiguration
.
An incompatible image is not checked for whether restoration
was necessary, so the state of the image is unchanged
after a return value of IMAGE_INCOMPATIBLE
and this return value implies nothing about whether the
image needs to be restored.GraphicsConfiguration
,
Component
,
IMAGE_OK
,
IMAGE_RESTORED
,
IMAGE_INCOMPATIBLE
public abstract boolean contentsLost()
true
if rendering data was lost since last
validate
call. This method should be called by the
application at the end of any series of rendering operations to
or from the image to see whether
the image needs to be validated and the rendering redone.true
if the drawing surface needs to be restored;
false
otherwise.public abstract ImageCapabilities getCapabilities()
ImageCapabilities
object that contains
the capabilities of this VolatileImage
.public int getTransparency()
getTransparency
in interface Transparency
VolatileImage
.Transparency.OPAQUE
,
Transparency.BITMASK
,
Transparency.TRANSLUCENT
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MACHINE_DATA See also Contents file for MACHINE_DATA and its subfolders. MACHINE_DATA australian_synchrotron dba - Create dba lattice esrf FODO - P1Dr=atdrift('Dr',0.1); soleil - Loads SOLEIL lattice sp3v81f - All the dipole and quadrupole lengths are effective lengths spear2 - Example lattice definition file spear2rad - Example lattice definition file with CAVITY and CLASSICAL radiation spear2resp - Example SPEAR2 lattice with orbit correctors and BPMS spear3 - Load the SPEAR3 lattice structure thomx This file was generated by updateContents.m on 04 Mar 2018 at 00:00:05.


A string S consisting of N characters is called properly nested if:
- S is empty;
- S has the form "(U)" where U is a properly nested string;
- S has the form "VW" where V and W are properly nested strings.
For example, string "(()(())())" is properly nested but string "())" isn't.
Write a function:
def solution(S)
that, given a string S consisting of N characters, returns 1 if string S is properly nested and 0 otherwise.
For example, given S = "(()(())())", the function should return 1 and given S = "())", the function should return 0, as explained above.
Assume that:
- N is an integer within the range [0..1,000,000];
- string S consists only of the characters "(" and/or ")".
Complexity:
- expected worst-case time complexity is O(N);
- expected worst-case space complexity is O(1) (not counting the storage required for input arguments).


Event Location:
Hyland Software
28500 Clemens Rd.
Cleveland, Ohio
Abstract:
Azure SQL Database offers a way quickly spin up new databases with minimal management requirements. However, the number of differences between on-premises SQL Server and Azure SQL Database can be overwhelming. Even worse, with DBaaS it’s not clear who is responsible for what anymore. In this session, we will cover all the basic steps of getting your first Azure SQL Database instance spun up. We’ll cover common gotchas, like firewall settings and resource locks. We’ll also dive into some more advanced options with templates, allowing you to make your processes reproducible. By the end of this presentation, you’ll understand if Azure SQL Database is the right choice for you and your needs. You’ll understand how it can simplify management and allow you to scale easily. Finally, you’ll have the confidence to go and create your own instance with ease.
Speaker(s): Jim Donahoe,
Abstract:
Microsoft has added new performance improvements and new features to SQL Server 2016 and 2017’s implementation of Always On Availability Groups. This session will cover improvements that range from Standard Edition support for AGs to load balanced replicas to new ways to create those replicas. We’ll kick the tires on the improved Azure support and discuss the massive performance improvements in Always On as well.
Speaker(s): Matt Gordon,
Abstract:
Learn how to create your own skill (app) for Amazon's Echo / Dot service known as Alexa. In this session, we'll create a simple skill from scratch, and show how to get into some of the more advanced options.
Speaker(s): Dave Mattingly,
Abstract:
Code Generators are all the rage—BIML, JS frameworks, .NET scaffolding, even the humble templates provide by SSMS for views, stored procedures, functions. Table-driven applications allow one set of code to handle changing business needs. Metadata-driven code generation takes this a giant step further. If you can describe your code with an algorithm operating against a set of data, you can get a computer to produce the code. - Source to Target mapping documents can be used to generate the code to effect the mapping. - Service Broker activation stored procedures have a clearly defined structure. They can be mass-produced. - Standard CRUD stored procedures can be stamped out cookie-cutter fashion. - Business rules can be encoded in data and the code to implement them manufactured. Generated code has systematic errors. Fix the errors at the generator. All the code now works. If the code is so boring that a computer can produce it, why not spend your talent doing something interesting?
Speaker(s): Kevin Mackey,
Abstract:
Graph databases solve a lot of complex relationship challenges that relational databases struggle to support. Relational databases are optimized for capturing data and answering data questions. Graph databases are highly optimized for answering questions about data relationships. Do you, data professional, understand which data stories need which type of technology? - Master Data - Networks Infrastructure - Trees and Hierarchies - Connections between People In this session you will learn which data stories are the right fit for your relational stores, and which are the right fit for graph databases.  You will learn the basics of how this is implemented in SQL Server 2017.
Speaker(s): Joseph D'Antoni,
Abstract:
In this session you will learn the basics of statistics and what they are used for. You will learn how to gather information about the statistics and how to use the information to improve performance. It is important the statistics are maintained to work properly. We will discuss what on going maintenance should be done on statistics.
Speaker(s): Dave Bland,
Abstract:
Forensic accountants and fraud examiners use a range of techniques to uncover fraudulent journal entries and illegal activities. As data professionals, most of us will never unravel a Bernie Madoff scheme, but we can apply these same techniques in our own environments to uncover dirty data. This session will use a combination of SQL Server and R to apply these fraud detection techniques, which include Benford's Law, outlier analysis, time series analysis, and cohort analysis.
Speaker(s): Kevin Feasel,
Abstract:
When troubleshooting overall server performance, wait statistics are a great place to start. But when your SQL Server hosts a complex set of workloads, it can be difficult to narrow down which queries are causing the most wait, and what types of wait they are causing. Fortunately, SQL Server provides easy ways for targeting which queries are causing you the most wait time. In this session, we’ll learn how to use both Extended Events, and Dynamic Management Views new to SQL Server 2016 for examining wait statistics at a query level, rather than at the server level. We’ll analyze poorly performing queries using a combination of methods and show how to quickly narrow down what SQL Server is waiting for, and why.
Speaker(s): David Maxwell,
Abstract:
Linux has come to Microsoft! Do you want to gain the knowledge that Oracle DBAs have been using for years to manage their databases on this valuable OS? This session is taught by a multi-platform DBA who specializes in Oracle and SQL Server with almost two decades on Unix/Linux experience. The goal is to give you the most valuable fundamentals and commands that are important to the DBA when managing a database in a Non-Windows environment. We’ll learn: 1. Linux history and concepts. 2. Important differences between systems 3. Crucial commands to get around a. Navigating, searching and managing b. Monitoring, tracing and updating c. Editing and scripting You’ll leave feeling more at ease with Linux and have plenty of content and links to continue the learning after the session!
Speaker(s): Kellyn Pot'Vin-Gorman,
Abstract:
This presentation is a quick introduction for the DBA or developer who was just told that their boss promised a major new customer a scalable, well designed database. The customer will pay a lot of cash and years of ongoing business using this database… If you deliver it this week! You’ll get a big bonus if you build this right, but you also remember what your co-workers did to the person who bungled the last database design… and wonder if that designer ever recovered! This session will introduce you to the fundamentals of Datatypes, Relational Algebra, and Normalization to help you avoid the major pitfalls and maybe get some sleep too! This presentation is a survey of Data Architecture for the Intermediate DBA, it is not intended for experienced Data Modelers.
Speaker(s): Pat Phelan,
Abstract:
Microsoft’s Power BI service has allowed end users and business analysts to exercise their creativity as developers. The expansion of department resources to create elegant and visually appealing reports for themselves as well as the organization at a fast pace has taken some of the burden off developers, or has it? Are you hoarding your environment with unorganized piles of data to feed your wonderful Power BI reports? In this life of point and click, drag and drop reporting, we sometimes lose sight of cohesive business standards, data integration and modeling. In this session, we will look at potential data management nightmares that include but are not limited to; overlapping data, inconsistent naming conventions, undocumented transformations, mismatch data types and varying granularity. We will focus on the importance of having a solid data model and managing data governance using Power BI as well as traditional tools and best practices.
Speaker(s): Jeremy Frye,
Abstract:
T-SQL programming makes wide use of parameterization in stored procedures, dynamic statements and ad-hoc queries. Many developers aren’t aware of the significant influence they have on query performance. Incorrect use or lack of parameters is a common reason for query performance issues. Have you experienced a query that always ran fast, suddenly (and for "no reason") become slow? And with nothing changing? Yep! * In this session we will learn about how the plan cache deals with queries that are (and are not) parameterized. * You'll learn about parameter sniffing, what it is, and how it's handled in the older and newest versions of SQL. * We will explore the problem of mismatched data types and implicit conversions - and how that ties in with ORM generated code. * Lastly, we'll take a peek at value list handling from applications, and how using a table valued parameter as an input instead. If this is a new topic to you, you'll leave this session with takeaways galore.
Speaker(s): Mindy Curnutt,
Abstract:
One of the most highly anticipated new features in the SQL Server 2016 release was Query Store. It's referred to as the "flight data recorder" for SQL Server because it tracks query information over time – including the text, the plan, and execution statistics. The addition of wait statistics information – tracked for each query plan – in SQL Server 2017 makes Query Store a tool that every data professional needs to know how to use, whether you're new to troubleshooting or someone who's been doing it for years. When you include the new Automatic Tuning capabilities in SQL Server 2017 and Azure SQL Database, suddenly it seems like you might spend less time fighting fires and more time enjoying a lunch break that’s not at your desk. In this session, we'll talk through these new features - and see them in action - so you can understand how you can immediately start to use them once you’ve upgraded to SQL Server 2017.
Speaker(s): Erin Stellato,
Abstract:
Hierarchical data sets are everywhere. If you haven't worked with one yet, you probably will someday. If you're already working with them, you know they can be horribly complex, slow performing, difficult to maintain resource hogs that can really take the steam out of any GUI or batch process. This simple but code intensive "Black Arts" session shows you how to quickly and easily get around all of that using all 3 common hierarchical structures and includes a very high performance method (100,000 nodes in less than 4 seconds and 1 Million nodes in less than a minute) for converting Adjacency Lists to Nested Sets that even a beginner can understand. If there's time, we'll cover a new "pre-aggregated" Hierarchical table structure that answers most of the questions you'd ask of a Hierarchy. You just have to know that a Tally Table is involved somewhere in this. ;-) Don't let the "Intermediate" rating of this session scare you beginners away because we start at the ground floor.
Speaker(s): Jeff Moden,
Abstract:
This session is about performance tuning your day. We spend a lot of time thinking about how to write efficient code, but we don't spend a lot of time thinking about how to be efficient with how we use our tools. In this session I will show you some lesser known keyboard shortcuts, tips, tricks, and hacks that will make your day easier. These are the tricks I've picked up over the years that help me get my work done quicker and easier. Even the most seasoned Database Professionals will learn a new trick that makes SSMS even easier to use.
Speaker(s): Andy Mallon,
Abstract:
Have you ever taken apart a toaster or an alarm clock just to see how it worked? Ever wondered how that database actually functions at the record level, behind the scenes? SQL Server Databaseology is the study of SQL Server databases and their structures down to the very core of the records themselves. In this session, we will explore some of the deep inner workings of a SQL Server database at the record and page level. You will walk away with a better understanding of how SQL Server stores data and that knowledge will allow you to build better, faster databases.
Speaker(s): John Morehouse,
Abstract:
Whether you’ve dabbled in PowerShell or wondered what all the fuss is about, make no mistake: PowerShell isn’t going away. It is definitely something worth learning to make your life as a SQL Server professional easier, and allow you to advance in your career as a DBA. In this session, you’ll see practical, real-world examples of how you can blend SQL Server and PowerShell together. You’ll also get a look at the SQL Server PowerShell provider and how you can incorporate it into your automation scripts. Instead of focusing on syntax, the session will plunge straight into examples and highlight various snippets of code and how they work. You can expect to see code examples on how PowerShell can do anything from comparing tables across servers, automating and centralizing your backups, and even doing in-depth security audits.
Speaker(s): Drew Furgiuele,
Abstract:
There is at least one in your home right now, a box, a basket, a bucket, perhaps even actually drawer; hastily organized at best but full of tools, gadgets, widgets and whatchamacallits designed for one or two specific purposes. Realistically, we all want to use the more generic, multipurposed item found in our “well organized place for storing things”, yet deep down we know that tool/gadget/widget etc. is really what we need. As data-professionals, we are all familiar with the largest “junk drawer” ever created, the Internet. In this session, we will discuss some tools which are not data specific, the jobs they do well, and where to find them. Join as us as explore Robocopy, parts of the SysInterals Suite, a connection manager or two, portables apps aplenty and more so that you can move that file more efficiently, troubleshoot that problem through a different lens, or simply know what the heck someone else is talking about.
Speaker(s): Peter Shore,
Abstract:
SQL Server Reporting Services (SSRS) is an easy-to-use tool for automating reports and creating highly visual dashboards. Although SSRS is easy to learn there are many tips and tricks that can improve your report building experience, not to mention make your reports run blazing fast! This rapid-fire session goes over my learnings from the past six years of developing high-performance SSRS reports, including topics like multivalue parameter efficiencies, how to best utilize subreports, and performing SQL CRUD operations with SSRS. Each rapid-fire topic includes sample data and an SSRS reporting example that users will be able to try out for themselves.
Speaker(s): Bert Wagner,
Abstract:
Are you just starting out writing SQL for applications or reports? Did you back into a DBA role by accident? Do you know nothing about indexes and think you should? If you answered yes to any of those questions then this class is for you. This class presents indexes from the ground up and lays the foundation for solid index usage. We'll cover what indexes are, different types of indexes, when to use them, and when not to use them. We'll also briefly cover index maintenance. This class is designed for beginners and is designed to be very practical. It won't dive deep on any one subject and won't bog down with technical minutiae.
Speaker(s): Eric Blinn,
Abstract:
You’ve heard all the buzz about Power BI, but you have no idea what it is and how it works. This session explains what Power BI is, who can use it and why you would want to. It’s an introductory session that gives you the information you need to determine if Power BI is right for you and your organization.
Speaker(s): Angela Henry,
Abstract:
When managing a single server it is easy to keep track of the configuration of that server, but what about when you have more than ten servers to manage or a hundred? How do you know they are setup correctly? How do you maintain the databases on each server? How do you take care of patching? How do you know when your server is on fire? In this talk we will answer these questions and more as we discuss technologies and approaches you can use to make sure your environment is configured and performing at its best.
Speaker(s): Tracy Boggiano,
Abstract:
In this session we will go over T-SQL Basics. We will review SELECT, INSERT, UPDATES and DELETE statements. Discuss how to retrieve data from multiple tables. Work with group by and other commands to retrieve data from your database. This session is geared towards and audience that may have never worked with a SQL Server Database and is looking for a quick start for working with data stored in a database.
Speaker(s): Carlton Ramsey,
Abstract:
SQL Server 2016 provides several new security features for developers and architects. Features such as Dynamic Data Masking (DDM), "Always Encrypted", and Row-Level Security provide an additional level of security natively through the database server. We'll explore the implementation of these features on the client/server for data in transmission or at rest. In addition, we'll examine built-in features and custom implementations.
Speaker(s): Sam Nasr,
Abstract:
The cardinality estimator in SQL Server is a massively complex piece of software that is responsible for calculating the estimated number of rows for query plans. We will derive some of the simplest and most important rules for cardinality estimation. Armed with that knowledge, we will address errors in cardinality estimates which can cause poor query performance. Demos include filtering on multiple columns, using local variables, dealing with ascending keys, and more.
Speaker(s): Joe Obbish,
Abstract:
Many of us have to deal with hardware that doesn’t meet our standards or contributes to performance problems. This session will cover how to work around hardware issues when it isn’t in the budget for newer, faster, stronger, better hardware. It’s time to make that existing hardware work for us. Learn tips and tricks on how to reduce IO, relieve memory pressure, and reduce blocking. Let’s see how compression, statistics, and indexes bring new life into your existing hardware.
Speaker(s): Monica Rathbun,
Abstract:
This session is for the absolute beginner to learn the terminology of performance tuning and how queries are processed. This includes how queries are Parsed, Resolved, Optimized, Compiled and Executed. We will see how this effects Batches, Transactions, and Errors. We will also briefly discuss table structures and the differences between Heaps and Clustered Indexes. The session is led by an expert Microsoft Certified Trainer (MCT) and Microsoft MVP who regularly teaches the SQL Server certification courses.
Speaker(s): John Deardurff,
Abstract:
Most of the time pilots are learning to fly, they're actually learning how to recover from emergency conditions. While we as Database Administrators focus on taking backups, how much time do we actually spend practicing recovering with those backups? This session will focus on the kinds of situations that can dramatically affect a data center, and how to use checklists to practice recovery processes to assure business continuity.
Speaker(s): Allen White,
Abstract:
If you've seen an execution plan but didn't know how to read it, this session is for you. The goal of this session to learn how SQL Server is interpreting your query into an execution plan. We'll discuss execution plan internals, how SQL Server estimates the cost of your query, and what a graphical execution plan is displaying through its operators. Learning to read an execution plan is a great way to begin troubleshooting performance. At the end, we will take a look at how SQL Server 2016 provides more tools for exploring execution plans.
Speaker(s): Arthur Daniels III,
Abstract:
The acronyms get out of control sometimes but the platform as a service (PaaS) offerings keep coming! Microsoft has introduced another one in the data platform called Azure Analysis Services. This service allows for the hosting of your BI Semantic models (BISM) in Azure. In this session we'll get an introduction to this new service and walk through how to get started using it. We'll also discuss the benefits and differences of this and the on premise SSAS solution.
Speaker(s): Hope Foley,
Abstract:
SQL Server has so many options for data redundancy, how do you know when you should use replication, or log shipping or AlwaysOn, etc? We will use real world examples where data redundancy is needed and discuss which is the appropriate technology and why. This is more than just a high availability vs disaster recovery discussion. If you have ever been confused or overwhelmed by all of the options, they will be broken down and made clear in this session.
Speaker(s): Wendy Pastrick,
Abstract:
Power BI is constantly evolving; this session is an overview of the current elements of Power BI and ways to implement them, based on our experience in the field using it. Topics include the Power BI Service, Power BI Desktop, Power BI Embedded, Pricing models and some details of Power BI Premium. Sample data set used in this presentation is from @DogRates
Speaker(s): Julie Smith,
Abstract:
Integrating databases schema changes into a Software Development Lifecycle Management (SDLC) process can be a daunting and often tedious proposition. Adding the complexity of version control to the mix complicates this scenario. Fortunately, beginning with Visual Studio 2012, Database Projects add an "easy" button to this process. In this session, you will learn about the features and capabilities of VS Database Projects and how to use them to improve the lifecycle of your database structures, even if your organization does no code management.
Speaker(s): Kerry Tyler,
Abstract:
Coming from the Excel world, DAX can look like Excel formulas on steroids. However, to be successful with DAX and Powerpivot, you'll need a completely different mental model. In this introduction to DAX, we won't spend too much time on the basics. Instead, we'll focus the concepts that make DAX unique. This will help you avoid the stumbling blocks of working with DAX. We will cover calculated columns, measures, aggregations, filtering, and iterators.
Speaker(s): Eugene Meidinger,
Abstract:
SQL Server 2017 has great new additions and features for everybody. If you are a developer, you want to learn about new Graph tables, new M.O.T enhancements, and new functions. If you are a BI developer, you want to learn about how to run R and Python in SQL Server. If you are a DBA, you might want to learn about new features like Resumable Online Indexes, Automatic Query Optimization and how to monitor R and Python scripts. This session will have overall information about new features of SQL Server 2017
Speaker(s): Hasan Savran,
Abstract:
This session is a very basic introduction to Integration Services (SSIS). We’ll cover the basics; what it’s used for and the various parts and pieces to get you started creating your own projects in no time. We’ll talk about packages, connections and project parameters and their respective tasks/properties. We’ll also cover some basic performance tuning to make your packages run faster.
Speaker(s): Angela Henry,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
Contact: http://www.sqlflipflopsdba.com
Jim is a Premier Field Engineer for Microsoft in the Data/AI space. He lives in Pittsburgh in a small suburb. He loves working with all things Azure(ARM templates, DBaaS, SQL on IaaS). He is an avid collector of retro video games! He is a member of the Idera ACE program for 2018.
LinkedIn: https://www.linkedin.com/in/bertwagner/
Contact: https://bertwagner.com
Bert Wagner teaches data-focused developers how to use SQL Server efficiently every week on his YouTube channel “SQL with Bert.” When not filming episodes, he gains inspiration for his content through his work as a Principal Business Intelligence Developer for Progressive Insurance in Cleveland, OH. Starting his career as an SSIS and SSRS developer, Bert fell in love with SQL Server query writing and performance tuning. Nowadays, he focuses on full stack web development and uses his database tuning skills to ensure that his applications run at peak performance.
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”.
LinkedIn: https://www.linkedin.com/in/hasansavran/
Contact: http://h-savran.blogspot.com/
Hasan Savran is a BI Architect at Progressive Insurance Company. He spends his days architecting cutting edge business solutions by using the latest Web and Database technologies. He is a Microsoft Data Platform MVP, Microsoft Certified Solutions Developer. Hasan has spoken at many SQL Saturdays, Code Camps and User groups. He is an active member of the HTML5 and WebAssembly W3C groups. He likes to write about SQL, CosmosDB, C#, and Front End development on his blog.
LinkedIn: http://www.linkedin.com/in/pittfurg
Contact: http://www.port1433.com
Drew Furgiuele is a senior DBA that lives in Dublin, Ohio who is passionate about SQL Server and PowerShell. He's been working with SQL Server since 2002. When he’s not accidentally dropping tables in production, he likes writing automation scripts, blogging about SQL Server Replication, wiring electronics, playing board games, and spending time with his dog. He's also not embarrassed by his Spotify playlists.
LinkedIn: https://www.linkedin.com/in/tracyboggiano
Contact: http://databasesuperhero.com
Tracy Boggiano is a Senior Database Administrator for DocuSIgn. She has spent over 20 years in IT, using SQL Server since 1999, and is currently certified as an MCSE Data Platform. Tracy has worked on SQL Server since 6.5. She has spoken at local user groups and numerous SQLSaturdays. She is currently a co-leader of a TriPASS Local Group in Raleigh, NC. Tracy also tinkered with databases in middle school to keep her sports card collection organized. She blogs at databasesuperhero.com. Her passion outside of SQL Server is volunteering with foster children as their advocate in court through volunteerforgal.org and being a mental health advocate as part of the PAIMI NC Advisory Council.
LinkedIn: https://www.linkedin.com/in/kevinjmackey/
Contact: https://kjmackey.wordpress.com
Kevin a software architect with a track record of creative and effective delivery of results for organizations who want to translate data into information. With a background as a trainer Kevin can explain complex technologies and concepts in easy to understand language. By the same token, he can take complex business problems and express them in terms technology teams can use to derive solutions. Kevin has a focus on automation of data movement, analysis, information delivery, and of the code to accomplish this.
LinkedIn: https://www.linkedin.com/in/mindycurnutt
Contact: http://www.mindycurnutt.com
Mindy Curnutt is a 5X Microsoft Data Platform MVP, Business Owner and Entrepreneur. Her specialties include SQL Server hardware, configuration, migrations, scalability, performance tuning. She has been actively involved in the SQL Server Community for over two decades and has become a well known speaker within the SQL and Transportation Management communities. She is a two-time PASS Volunteer of the Month, has presented at 6 SQLPASS Summits, Live360, DevConnections, MVPMix and too many SQL Saturdays to count. She is currently the President of the North Texas SQL Server User Group out of Dallas/Fort Worth, TX.
LinkedIn: http://www.linkedin.com/in/juliesmith0503/
Contact: http://datachix.com
Julie Smith is a Microsoft Data Platform MVP and a BI consultant for Innovative Architects in Atlanta, GA. She#39;s implemented increasingly complex Business Intelligence solutions for over a decade at various organizations. She#39;s also worn many other database “hats” in her career – production DBA and database developer--but data integration and BI are her true passions. Julie holds a BA from the University of South Carolina. She and Audrey Hammonds co-created The Datachix.com blog.
LinkedIn: https://www.linkedin.com/in/davidmmaxwell
Contact: https://dmmaxwell.wordpress.com/
David Maxwell has almost 20 years of experience with SQL Server, with a keen interest in performance tuning, monitoring, and troubleshooting. He has experience in environments as diverse as health care institutions, auto manufacturers, and insurance companies. David has been a frequent presenter at SQLSaturday events around the United States since 2012, as well as a presenter for the DBA Fundamentals Virtual Group, the Performance Virtual Group, 24 Hours of PASS, and the annual PASS Summit. David participates in his local Columbus Ohio PASS Local Group, where he serves on the board of directors as SQLSaturday coordinator.
LinkedIn: https://www.linkedin.com/in/dave-bland-sql-server
Contact: https://www.davebland.com
Over 20 years of SQL Server experience that includes being a DBA, BI development and Application development using VB.NET. Dave currently is the Manager of the DBA team at Stericycle. Dave is a Friend of Red-Gate for 2019. He is a frequent presenter at SQL Saturday events and user groups around the country. Has been teaching SQL Server since version 2000 and is the SQL Server instructor at Harper College in Palatine, IL. Current certifications include: • Microsoft Certified Trainer • MCTS: SQL Server 2008, Implementation and Maintenance • MCTS: SQL Server 2008, BI Development and Maintenance • MCSA: SQL Server 2008 • MCSA: SQL Server 2016 • MCSE: SQL Server 2016 - BI • MCDBA: SQL Server 2000 • MCSD • MCSE: Data Management and Analytics
LinkedIn: https://www.linkedin.com/pub/kevin-feasel/7/716/504
Contact: http://www.catallaxyservices.com
Kevin Feasel is a Microsoft Data Platform MVP and CTO at Envizage, where he specializes in data analytics with T-SQL and R, forcing Spark clusters to do his bidding, fighting with Kafka, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL (https://curatedsql.com), president of the Triangle Area SQL Server Users Group (https://www.meetup.com/tripass), and author of PolyBase Revealed (https://www.apress.com/us/book/9781484254608). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.
LinkedIn: https://www.linkedin.com/in/sqlatspeed
Contact: http://www.sqlatspeed.com
Matt is a Microsoft Data Platform MVP and has worked with SQL Server since 2000. He is the leader of the Lexington, KY PASS local group and a frequent domestic and international community speaker. He's an IDERA ACE alumnus and 2020 Friend of Redgate. His original data professional role was as a database developer, which quickly evolved into query tuning work that further evolved into being a full-fledged DBA in the healthcare realm. He has supported several critical systems utilizing SQL Server and managed dozens of 24/7/365 SQL Server implementations. He currently utilizes that real world experience as a data platform consultant helping clients design solutions that meet their ever-changing business needs.
LinkedIn: http://www.linkedin.com/in/blackwyrm
Contact: http://www.davemattingly.net
Dave Mattingly has spent thirty years of designing, developing, databasing, documenting, and directing a variety of projects in many industries. In the past, he’s worked on space travel, fraud prevention, data accuracy, and virtual reality for industries such as games, ecology, health, religion, and money. He also writes, publishes, orates, teaches, and preaches.
LinkedIn: https://www.linkedin.com/in/sqlespresso
Contact: http://www.sqlespresso.com
Monica Rathbun lives in Virginia, is a Microsoft MVP for Data Platform and Microsoft Certified Solutions Expert. She has nearly two decades of experience working with a wide variety of database platforms with a focus on SQL Server and the Microsoft Data Platform. She is a frequent speaker at IT industry conferences on topics including performance tuning and configuration management. She is the Leader of the Hampton Roads SQL Server User Group and a Mid‐Atlantic PASS Regional Mentor. She is passionate about SQL Server and the SQL Server community, doing anything she can to give back. Monica can always be found on Twitter (@sqlespresso) handing out helpful tips. You can find Monica blogging at sqlespresso.com
Contact: https://www.DBA-Art.com
Arthur Daniels is a Premier Field Engineer (PFE) at Microsoft. He has focused on diagnosing and optimizing performance on very large databases in mission critical environments.
LinkedIn: https://www.linkedin.com/in/kellynpotvin
Contact: http://dbakevlar.com
Kellyn Pot’Vin-Gorman is a member of the Oak Table Network and an Idera ACE and Oracle ACE Director alumnus. She is a Data Platform Architect in Power BI with AI in the EdTech group at Microsoft. Kellyn is known for her extensive work with multi-database platforms, DevOps, cloud migrations, virtualization, visualizations, scripting, environment optimization tuning, automation, and architecture design. Kellyn has spoken at numerous technical conferences for Oracle, Big Data, DevOps, testing, and SQL Server. Her blog (http://dbakevlar.com) and social media activity under her handle, DBAKevlar, is well respected for her insight and content.
LinkedIn: https://www.linkedin.com/in/carltonramsey/
Contact: http://www.eccentricDBA.com
Carlton B Ramsey has worked for Third Federal Savings and Loan in Cleveland Ohio for two decades as an Application Developer and Database Administrator. He is an active member of the North Ohio SQL Server User Group, frequent SQL Saturday Presenter and Past-President of the Akron-Canton Chapter of CompTIA AITP (Association of Information Technology Professionals). In addition, he has a MCSA SQL 2016 Database Development.
LinkedIn: http://www.linkedin.com/in/hopefoley/
Contact: http://www.hopefoley.com
Hope Foley, a former Data Platform MVP, has worked across many industries as a DBA and Business Intelligence consultant. She joined team at Microsoft and is a Data AI Technology Solutions Professional. She has worked with enterprise customers but now focuses on education. Hope is an active member in the SQL Server and PASS communities speaking at events and organizing the SQLSaturday event in Indianapolis.
LinkedIn: https://www.linkedin.com/in/jeremyilfrye
Contact: https://jeremyfrye.net
Jeremy Frye is the manager of the Business Intelligence and data warehousing team at RDX. He is a Business Intelligence architect and developer with a background in database administration as well. Jeremy has over 9 years of experience in SQL Server. He has spoken on BI topics at many SQLSaturday's throughout the country, webinars, and local and remote SQL user groups. In his spare time, Jeremy often spends time trying to bridge the gap between keyboard strokes and workout reps.
LinkedIn: http://www.linkedin.com/in/angelahenrydba
Contact: http://SQLSwimmer.com
Angela is a Solution Architect, living in High Point, NC and loves what she does. She's worked with all versions of SQL Server worn all the hats that come with dealing with SQL Server throughout the years: developer, administrator, data architect and BI developer. She has her MSCE in Data and Analytics (f.k.a., Business Intelligence), is a Data Platform MVP, and a Microsoft Certified Trainer (MCT). She is the former chapter leader for the PASS Triad SQL User Group in Greensboro, NC. In her spare time you can probably find her in or at the pool, she's an avid US Masters Swimmer, Coach and Instructor.
LinkedIn: http://www.linkedin.com/in/angelahenrydba
Contact: http://SQLSwimmer.com
Angela is a Solution Architect, living in High Point, NC and loves what she does. She's worked with all versions of SQL Server worn all the hats that come with dealing with SQL Server throughout the years: developer, administrator, data architect and BI developer. She has her MSCE in Data and Analytics (f.k.a., Business Intelligence), is a Data Platform MVP, and a Microsoft Certified Trainer (MCT). She is the former chapter leader for the PASS Triad SQL User Group in Greensboro, NC. In her spare time you can probably find her in or at the pool, she's an avid US Masters Swimmer, Coach and Instructor.
With more than 51,000 posts and 39 mostly 5 star articles, Jeff Moden is a strong contributor on SQLServerCentral.com where he coined the term “RBAR” (Row By Agonizing Row) and helped make the "Tally Table" a household name. Jeff has more than 2 decades of experience with SQL Server and is mostly self-trained in what he calls the “Black Arts” of T-SQL. He’s known worldwide for his informative articles, high performance T-SQL coding methods, and methods of mentoring. His dedication to helping others earned him the MS SQL Server MVP award for nine years and the RedGate Exceptional DBA Award in 2011. His mantra is "Performance is in the code".
Contact: http://wendyverse.blogspot.com
Wendy Pastrick is from Chicago, IL, and for the past 15 years has served as a Database Administrator supporting both development and production environments. Her many years of involvement with PASS include WIT Virtual Chapter and the Chicago Suburban User Group, serving as Regional Mentor, and as a PASS Board member since 2013. Wendy has organized several highly successful SQLSaturday events in Chicago.
LinkedIn: http://www.linkedin.com/pub/allen-white-sql-server-mvp/5/784/b08/
Contact: http://dataperfpro.com/blog/
Allen White is a Data Platform consultant. He has been both a developer and an administrator, so he understands both perspectives towards database technology. He loves sharing his experiences and helping people learn how to use SQL Server. Allen has spent over 40 years in IT, using SQL Server since 1992, and has been awarded Microsoft’s MVP Award for the last 13 years. Allen was a PASS Director from 2016 - 2018.
LinkedIn: Public Profile https://www.linkedin.com/in/petershore
Peter Shore is a seasoned IT professional with over 25 years of experience. He took the accidentally intentional DBA plunge in 2013 and has discovered that he loves to find the stories the data has to tell. Peter is comfortable working with both physical and virtual servers, where he tries to apply best practices to attain performance improvements. He is also adept at bridging the gap between technical and business language in order to bring technology solutions to business needs.
Contact: http://www.sqlgene.com
Eugene Meidinger works as a BI consultant and full time Pluralsight author. He currently focuses on content on Power BI and related products. He also leads the Pittsburgh Power BI User Group. He is certified in querying and administering SQL Server.
LinkedIn: http://www.linkedin.com/in/samsnasr
Contact: http://samnasr.blogspot.com/
Sam Nasr has been a software developer since 1995, focusing mostly on Microsoft technologies. He’s a Sr. Software Engineer with NIS Technologies where he consults and teaches clients about the latest .Net technologies. Sam has achieved multiple certifications from Microsoft (MCSA, MCAD, MCTS, MCT), and is the leader of the Cleveland C#/VB.Net User Group since 2003. In addition, he’s the leader of the .Net Study Group, an author for Visual Studio Magazine, and a Microsoft MVP since 2013. When not coding, Sam loves spending time with his family and friends or volunteering at his local church.
LinkedIn: http://www.linkedin.com/in/JohnDeardurff
Contact: https://www.sqlmct.com
John has been a Microsoft Certified Trainer (MCT) for over 20 years teaching Azure, SQL Server, Exchange Server, and Windows Server networking courses. He is currently a SQL Premier Field Engineer for Microsoft. He is an MCT Regional Lead for the Eastern United States and a former Data Platform MVP.
LinkedIn: http://www.linkedin.com/in/erinstellato
Contact: http://www.sqlskills.com/blogs/erin
Erin Stellato is a Data Platform MVP and lives outside Cleveland, OH. She has almost 20 years of technology experience and has worked with SQL Server since 2003. Her areas of interest include performance tuning, Query Store, Extended Events, and helping accidental/involuntary DBAs understand how SQL Server works. Erin is an active member of the SQL Server community, has volunteered for PASS at the local and national level, and is a regular speaker at conferences including the PASS Summit, SQLIntersection, and SQLBits. Outside of time with family and friends, she enjoys running, spinning, movies, and all things chocolate.
Contact: https://orderbyselectnull.com
Joe Obbish has nearly a decade of experience with SQL Server and other database platforms. He works as a query tuning, columnstore, and scalability expert within Epic, a large EHR and analytics vendor in Madison, WI. In less than two years, he became one of the top contributors for SQL Server on the DBA StackExchange community. Joe blogs about advanced columnstore and query tuning topics on his blog, http://www.orderbyselectnull.com. In his spare time, Joe enjoys baking and sharing these treats with his coworkers.
LinkedIn: https://www.linkedin.com/in/ericblinn
Contact: https://ericblinn.com/
Eric has been a SQL Server DBA in the legal, software, transportation, and insurance industries for over 10 years. Currently he is the Sr Data Architect for Squire Patton Boggs, a leading provider of legal services with 47 offices in 20 countries. Eric is a 2018-2019 Idera Ace and has co-authored 2 Idera Whitepapers. He has been a presenter at PASS Summit, SQLSaturdays, the in.sight transportation conference, and the Ohio North SQL Server User's Group.
LinkedIn: https://www.linkedin.com/in/kerrytyler
Contact: http://airbornegeek.com
Kerry Tyler is a SQL Server, Business Intelligence, and Azure consultant. His initial IT experience was in network engineering and Windows system administration before moving into the data realm. This infrastructure background builds a firm foundation for performance tuning and cloud infrastructure design and implementation. Kerry has full-time DBA experience in SQL Server since version 2000 and business intelligence architecture since SQL Server 2005. In addition to consulting work, he delivers presentations and training on SQL Server administration, business intelligence, and Azure data and infrastructure components.
LinkedIn: https://www.linkedin.com/in/phelanp
Pat Phelan first joined a computer user group (DECUS) in High School, and has joined many more since then. Pat worked many jobs in high school and college, and over twenty years for a major accounting firm. Pat started working for Involta in 2007 and is now the database mentor and a member of the Engineering team. Involta builds, owns and operates world class colocation datacenters and also provides managed services and support staff to clients.
LinkedIn: http://www.linkedin.com/in/amtwo
Contact: http://www.AM2.co
Andy is a Data Platform MVP and SQL Server DBA that has managed databases in the healthcare, finance, e-commerce, and non-profit sectors. He has been supporting high-volume, highly-available OLTP environments with demanding performance needs since 2003. Andy is the founder of the BostonSQL User Group, and previous co-organizer of SQL Saturday events in Boston. He blogs at am2.co. Andy lives just outside Boston, Massachusetts, USA with his husband and their two dogs.
LinkedIn: https://www.linkedin.com/in/sqlrus
Contact: http://www.sqlrus.com
John Morehouse is currently a Consultant with Denny Cherry Associates living in Louisville, Kentucky. With over 2 decades of technical experience in various industries, John now focuses on the Microsoft Data platform and specializes in Microsoft SQL Server. He is honored to be a Microsoft Data Platform MVP, VMWare vExpert, Friend of Red Gate, Sentry One PAC member Community Ambassador, and 2016 Idera Ace. John has a passion around speaking, teaching technical topics, and giving back to the technical community as much as possible. He is a user group leader, SQL Saturday organizer, and former PASS regional mentor. He is also a blogger, avid tweeter, and a frequent speaker at SQL Saturday’s as well as other conferences.
The following is a list of sponsors that helped fund the event.


#include "_doctype.html"
The curl project only provides source packages. All other packages are kindly provided by external persons and organizations. SUBTITLE(Source Archives)
curl __STABLE, Released on the DATE(__RELDATE). Changelog for __STABLE.
| curl-__STABLE.tar.gz | gpg | mirror | |
| curl-__STABLE.tar.bz2 | gpg | mirror | |
| curl-__STABLE.zip | gpg | mirror | |
| curl-__STABLE.tar.xz | gpg | mirror |
Need help to select what to download? Use the curl Download Wizard! SUBTITLE(Packages)
Click on the package name to get a list with links to all known mirrored versions.
#include "dl/files.html"
| This colour means the packaged version is the latest stable version available (__STABLE)! |
More information on www.metalinker.org.
downloads is available fromIf you have newer archives or archives for platforms not already present in this table, we'd like to add them to this table with a pointer to your location. Mail curl-release and tell us! #if 0 SUBTITLE(OpenSSL binary packages)
For the SSL-compiled Curl packages you need the OpenSSL libraries/DLLs.
| Platform | Version | URL |
|---|---|---|
| Windows | various | shininglightpro.com |
| Windows | 0.9.8g | mingw 7z vc6 7z |
| True64 4.0D / 5.0A | 0.9.7b | thewrittenword.com |
| Solaris 2.5.1, 2.6, 7, 8/SPARC | 0.9.7b | thewrittenword.com |
| Solaris 9 & 10 | 0.9.8r | opencsw.org |
| IRIX 6.5 | 0.9.7b | thewrittenword.com |
| HP-UX 10.20, 11.00, 11i | 0.9.8 | develooper.com |
| any Linux | many versions | search with rpmfind.net |
| Platform | Where |
|---|---|
| Windows | GnuWin32 project |
| various Unixes | ftp://ftp.thewrittenword.com/packages/by-name/zlib-1.1.4 |
| Solaris | opencsw.org |
win32 in the table means that the package runs on the Microsoft Windows Operating System. #include "_footer.html"


I am a Self taught (no degree/certifications) devloper. Currently enrolled in the Ladies At Work program hosted by Pearls Africa in conjuction with the U.S Consulate. While I'm not busy coding away, I assume myself to be a wonderful writer and a creative through and through. I am available for internship roles and freelance work. Don't hesitate to contact me.


--- layout: page title: Benefit From Our Unique Focus date: 2015-07-30 22:22:13.000000000 -04:00 type: page parent_id: '' published: true status: publish categories: [] tags: [] meta: {} author: ---
Your development project’s success could hinge on iterating rapidly or asking more sophisticated questions of your data. Where xnlogic can help is by providing a boutique consulting service. We focus exclusively on graph database technology. The expressiveness of the graph combined with the power of our platform creates the foundation for serious enterprise-grade software.


This is a student-run project built for the Informatics 133 course at UC Irvine.
Participating students listed below.


Trump aide says he curbed access to Ukraine call, fearing fallout
WASHINGTON: A top US official restricted access to the summary of Donald Trump's Ukraine call that triggered an impeachment probe, fearing it would damage the president, testimony released on Saturday (Nov 16) showed.
White House Ukraine expert Timothy Morrison told House investigators he knew immediately how sensitive the call was when he heard Trump press Ukraine's President Volodymyr Zelensky to investigate former US vice president Joe Biden.
"I recommended ... that we restrict access to the package," said Morrison, who left the National Security Council the day before testifying.
The conversation, which took place on Jul 25 while the White House was withholding military aid to Ukraine, is central to the House impeachment inquiry into Trump.
Democrats leading the probe say the call summary shows the president abused his office by bullying a vulnerable ally into interfering on his behalf in the 2020 US election.
"The testimony released today shows that President Trump's Jul 25 phone call with Ukrainian President Zelensky immediately set off alarm bells throughout the White House," Adam Schiff, the congressman leading the inquiry, said in a statement released jointly with other senior Democrats.
Morrison said however the summary had been placed on a highly classified system due to a "mistake" by White House staff - casting doubt on allegations that it was squirreled away as part of a deliberate cover-up.
He also broke with other witnesses who have spoken out against the call, telling House investigators he heard nothing wrong.
"In your view there was nothing improper that occurred during the call?" the Republican's lead counsel asked Morrison.
"Correct," he replied.
House investigators also released testimony from Jennifer Williams, Vice President Mike Pence's special advisor for Europe and Russia, who told lawmakers Trump's push for Ukraine to open investigations was "unusual and inappropriate."
Williams listened in on the Jul 25 call and said the requests appeared to have been made to further Trump's "personal political agenda" rather than US foreign policy goals.


About
E-sites is a digital agency with offices in Breda and Eindhoven, The Netherlands, on Curaçao and in Suriname. We create websites, (mobile) apps and online campaigns that are extraordinarily innovative and effective, for companies and organizations with high ambitions.
Besides knowledge we also like to share code. Because, sharing is caring. Check out our GitHub page to see if there is anything you can use in your web or mobile projects.


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Dynamics simulation method of shock wave tests. ( a) Schemat ... |
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Figure 2
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Shock dynamics of the ( a) ε-CL-20 crystal, ( b) CL-20/HMX c ... |
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Figure 3
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( a) Conformation vs time plots for a molecule in the shocke ... |
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Figure 4
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Bond number vs time plots for the shocked ε-CL-20 crystal, B ... |
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Figure 5
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Vibrational spectra for ε, β, γ and ζ polymorphs of CL-20 cr ... |
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Figure 6
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( a) Correlation between the shock sensitivity and the tempe ... |
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Shock sensitivity vs amount of hydrogen bonding for the CL-2 ... |


Well, you could always use Win32, but if you don't feel like jumping into something that big, there are other Libraries / APIs to do so. SFML, Qt, SDL... there is a lot. But in my experience, if you aren't good with setting up external libraries, than I would just download the Qt Creator with MinGW.
You can use really anything for arithmetic. Just basic C++ with no headers can do basic arithmetic. If you need more advanced stuff, just include <cmath> at the top of your project. It is built in to pretty much all compilers.
qt is a widely used program for user interfaces, however, I'm not sure it's the direction you want to go for gaming. For loaders, menu screens, etc it's great but for gaming itself it's better to go for a graphical library.
That stated, I'd recommend SDL. It eases you in quite nicely, even in regards to learning external api's, and has quite a bit of depth to explore as you learn things! It gives you a foundation of working with graphical api's, is built using open gl/el, and can work side by side with open gl/el.
Look up lazyfoo if you intend to go this route, his tutorials are excellent, even though a little outdated. Start from SDL1.3, and once you have the basics down switch to 2.0, learn about rendering, then if you feel bold, dive into opengl, and start learning about pipelines.
The nice thing about SDL is it's cross platform(windows, linux, ios, etc), and has open doors to more advanced methods that professional game studios use.
TL;DR if you want to learn something that will help you later on if you want to get into graphical programming, or something that won't lock you in with just one operating system then check out sdl.
@wildblue I remove the setprecision () ; declaration and it worked fine, just that the output wasn't what I was expecting.
Output: 3.142857............
But 22/7 should give me the value for pie=3.14159...........
Even with this I don't get the exact value of PI in return.
#include <iostream>
#include <iomanip>
#define PI 3.1415926535897932384626433832795028841971693993751058209
using namespace std;
int main () {
cout<<setprecision(100)<<endl;
double a = PI * 1.0;
cout<<a<<endl;
return 0;
}


53
1 Who would have believed what we heard? And the arm of Yahweh, to whom has it been revealed?
2 For he grew up before Yahweh like a sapling, and like a sprout out of parched earth;
he had no remarkable appearance or splendor; when we saw him, there was no beauty to attract us.
3 He was despised and rejected by people; a man of sorrows, and one familiar with pain.
Like one from whom men hide their faces, he was despised; and we considered him insignificant.
4 But surely he has borne our sicknesses and carried our sorrows;
yet we thought he was being punished by God,
struck by God, and afflicted.
5 But he was pierced because of our rebellious deeds; he was crushed because of our sins.
The punishment for our peace was on him, and with his wounds we are healed.
6 We all like sheep have gone astray; we have each turned to his own way,
and Yahweh has placed on him the iniquity of us all.
7 He was oppressed; yet when he humbled himself, he did not open his mouth;
as a lamb that is led to the slaughter, and as a
sheep that before its shearers is silent,
so he did not open his mouth.
8 By coercion and judgment he was condemned; who from that generation thought anymore about him?
But he was cut off from the land of the living; because of the offenses of my people the penalty was put on him.
9 They intended to make his grave with the criminals, with a rich man in his death,
although he had done no violence, nor had there been any deceit in his mouth.
10 Yet it was Yahweh's will to crush him and make him ill; and if he makes his life an offering for sin,
he will see his offspring, he will prolong his days, and Yahweh's purpose will be accomplished through him.
11 After he had suffered, he will see and be satisfied by the knowledge of what he had done.
My righteous servant will justify many; he will bear their iniquities.
12 Therefore will I give him his portion among the multitudes, and he will divide the spoils with the many,
because he exposed himself to death and was numbered with the transgressors.
He bore the sin of many and made intercession for the transgressors.


'Spot on' - Former Birmingham City star re-signs for League Two club and makes second debut
Latest Birmingham City news | The 31-year-old made more than 150 appearances during his time with Blues
by Mark WakefieldLeague Two side Swindon Town have confirmed they have re-signed former Birmingham City defender Paul Caddis.
Caddis rejoins the Robins on a short-term deal, six years after leaving the club to sign for Blues in 2013.
The experienced right-back made more than 150 appearances in two spells for Blues, with his first stint coming as a loan spell from Swindon in the 2012-13 season.
His move to St Andrew’s was then made permanent that summer, and he went on to spend three-and-a-half more seasons with Blues before signing for Bury in 2017.
Since leaving Birmingham, Caddis has had spells at Bury, Blackburn Rovers, Bradford City, before rejoining the club he initially signed for in 2010.
His first stint with Swindon saw Caddis make 92 appearances and has now re-signed for the club on a short-term deal.
Prior to joining Swindon, the 31-year-old has been training with the club in recent weeks to keep fit and sharp and manager.
Birmingham City latest
This is your round up of all things Birmingham City; the one-stop shop that will keep you updated on the latest goings on at the club and beyond.
Transfers, injuries, match-days and managers, we’ve got you covered.
We’ll be bringing the very latest on the Blues throughout the week and around the clock.
Make sure you keep yourself updated with our handy daily catch up...
Must reads...
- The EFL charge that will interest Birmingham City and Garry Monk
- The exciting transfer promise Birmingham City have made their fans
- Birmingham City's plan to resolve the big issue that's angered fans
- Sunjic, Colin, Camp - How Birmingham City's players rate this season
- A new striker, Jude and contracts - Blues' January priorities
For all your latest BCFC news, opinion, analysis and transfer gossip, click here
You can follow our Blues reporter Brian Dick on Twitter, and his email address is<EMAIL_ADDRESS>“He is a very good trainer, very fit and a good footballer as well – and, above all, his attitude is spot on,” said manager Richie Wellens.
Caddis featured in Swindon’s 302 win over Salford City on Saturday, coming on as a substitute for the final minutes of the clash at Moor Lane.


This page lists resources that are meant to help you get stuff done easily in the WebSpecs
project. It is being expanded regularly.
- Discussing features and specifications
-
Easily find out what is the best place at which to discuss a specific aspect that you have in
mind.
- Creating WebSpecs
-
You want to jump in and actually write some text, either from scratch or as a modification to
someone else’s work. The details are on this page.
- Bikeshed — Markdown for WebSpecs
-
WebSpecs can be written using a Markdown flavour known as “Bikeshed” that happens to have a lot
of tricks up its sleeve that comes in handy when producing a specification. There’s a lot that
can be known about Bikeshed, but you don’t need to learn more than the very basics in order
to get started — and the rest ought to come easy.
- ReSpec — HTML for WebSpecs
-
If you prefer HTML and JS to Markdown, WebSpecs can also be written using ReSpec. Like
Bikeshed it takes care of a lot of the things you don’t want to have to think about. You can
start from a very basic
example and only tweak the configuration (near the top of the source) to set
specStatus
to "webspec"
and repository
to the
user/repo-name
string that fits your specification. Call the file
index.src.html
and you’re good to go! It should look like
this
very basic example, which is in fact the same as linked right above but with its
configuration overridden in the query string.


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+++ Author= "Kendon Brawner" title= "Nathan Boone Part 3" date= 2019-01-18T16:39:16-06:00 draft= false image= "salt.jpg" weight = 4 categories = ["posts"] tags = ["Manifest Destiny"] description = "The Businessman Coming Soon!" +++


https://docs.python.org/3/library/stdtypes.html
The 'with' statement supports the concept of a runtime context defined by a context manager.