/*
* (c) Copyright 2006, 2007, 2008 Hewlett-Packard Development Company, LP
* All rights reserved.
* [See end of file]
*/
package arq.examples.larq;
import com.hp.hpl.jena.query.ARQ;
import com.hp.hpl.jena.query.larq.IndexBuilderString;
import com.hp.hpl.jena.query.larq.IndexLARQ;
import com.hp.hpl.jena.rdf.model.Model;
import com.hp.hpl.jena.rdf.model.ModelFactory;
import com.hp.hpl.jena.sparql.util.StringUtils;
import com.hp.hpl.jena.sparql.util.Utils;
import com.hp.hpl.jena.util.FileManager;
import com.hp.hpl.jena.vocabulary.DC;
/** Example code to load a model from a file, index string literals on the DC title property,
* then execute a SPARQL query with a Lucene search in it.
*
* @author Andy Seaborne
*/
public class ExLucene3
{
public static void main(String[] a) throws Exception
{
System.out.println("ARQ Example: "+Utils.classShortName(ExLucene3.class)) ;
System.out.println("ARQ: "+ARQ.VERSION) ;
System.out.println() ;
Model model = ModelFactory.createDefaultModel() ;
IndexLARQ index = buildTitleIndex(model, "testing/LARQ/data-1.ttl") ;
// Search for string
String searchString = "+document" ;
// This time, find documents with a matching DC title.
String queryString = StringUtils.join("\n", new String[]{
"PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>" ,
"PREFIX : <http://example/>" ,
"PREFIX pf: <http://jena.hpl.hp.com/ARQ/property#>",
"PREFIX dc: <http://purl.org/dc/elements/1.1/>",
"SELECT ?title {" ,
" ?title pf:textMatch '"+searchString+"'.",
"}"
}) ;
// Two of three docuemnts should match.
ExLucene1.performQuery(model, index, queryString) ;
index.close() ;
}
static IndexLARQ buildTitleIndex(Model model, String datafile)
{
// ---- Read and index just the title strings.
IndexBuilderString larqBuilder = new IndexBuilderString(DC.title) ;
// Index statements as they are added to the model.
model.register(larqBuilder) ;
// To just build the index, create a model that does not store statements
// Model model2 = ModelFactory.createModelForGraph(new GraphSink()) ;
FileManager.get().readModel(model, datafile) ;
// ---- Alternatively build the index after the model has been created.
// larqBuilder.indexStatements(model.listStatements()) ;
// ---- Finish indexing
larqBuilder.closeWriter() ;
model.unregister(larqBuilder) ;
// ---- Create the access index
IndexLARQ index = larqBuilder.getIndex() ;
return index ;
}
}
/*
* (c) Copyright 2006, 2007, 2008 Hewlett-Packard Development Company, LP
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* 3. The name of the author may not be used to endorse or promote products
* derived from this software without specific prior written permission.

* IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
* NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
* THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/


1.2.2. moha.modelsystem.sites¶
Classes
A site for electronic models |
|
|
A class for general single site |
A site for spin 1/2 models. |
|
A site for spinless fermion models. |
-
class
moha.modelsystem.sites.
ElectronicSite
[source]¶ A site for electronic models
You use this site for models where the single sites are electron sites. The Hilbert space is ordered such as:
the first state, labelled 0, is the empty site,
the second, labelled 1, is spin down,
the third, labelled 2, is spin up, and
the fourth, labelled 3, is double occupancy.
Postcond: The site has already built-in the spin operators for:
c_up : destroys an spin up electron,
c_up_dag, creates an spin up electron,
c_down, destroys an spin down electron,
c_down_dag, creates an spin down electron,
s_z, component z of spin,
s_p, raises the component z of spin,
s_m, lowers the component z of spin,
n_up, number of electrons with spin up,
n_down, number of electrons with spin down,
n, number of electrons, i.e. n_up+n_down, and
u, number of double occupancies, i.e. n_up*n_down.
-
class
moha.modelsystem.sites.
Site
(dim)[source]¶ A class for general single site
Use this class to create a single site object. The site comes with identity operator for a given dimension. To build specific site, additional operators need be add with add_operator method.
-
class
moha.modelsystem.sites.
SpinOneHalfSite
[source]¶ A site for spin 1/2 models.
Use this class for spin one-half sites. The Hilbert space is ordered such as the first state is the spin down, and the second state is the spin up.
- PostconditionThe site has already built-in the spin operators for
s_x, s_y, s_z, s_p, s_m.
-
class
moha.modelsystem.sites.
SpinlessFermionSite
[source]¶ A site for spinless fermion models.
Use this class for spinless fermion sites. The Hilbert space is ordered such as:
the first state is empty site
the second state is occupied site.
- PostconditionThe site has already built-in the operators for
c, c_dag, n.


| DOSE: |
1 tablet |
oral |
2C-T-2 |
(pill / tablet) |
A lifelong friend and I were camping last week in the Porcupine Mountains of the Michigan upper peninsula. We had loads of cannabis and hash, and he brought two of these pills along. He'd been lobbying for weeks to get me to try it, and I said I wouldn't on account of an idiosyncratic retinal disease that has robbed me of a lot of vision. I didn't feel comfortable with a drug I hadn't heard of. The second day was beautiful weather. Glorious day on the rocks on Lake Superior. At sunset, he took his pill and then stood around begging me to do the same.
Nothing happened for 45 minutes or so, when I became giggly and experience a nice body high with a little nausea. He had taken his about an hour before, so he was already on his hands and knees staring at the grass, and staring at the sky. The stars were brilliant. We sat around the fire and he kept asking how I was feeling, and I kept answering 'Fine.' Then he said 'Look at the grass' and shined his light there. There were diamonds rising off the grass and it was all wavering.  The paranoia soon passed.
I looked at the trees and they were dancing to the Oakenfold CD we were listening to. The stars traced everywhere, objects wavered(his face melted when I looked it), and through these visuals I felt absolutely lucid. I could speak/hear clearly and we described what was going on. Deep conversation ensued. In the cinders of the fire I saw faces, some I recognized from my past. These were not just patterns. I saw my own face, including a mirror like effect of seeing myself talk as I talked. I saw animated paintings with cherubs flying, and lots more faces, most of which I couldn't recognize. A feeling of well-being flowed through all of this, along with a great body high. The experience opened up doors, I've never seen such indescribable beauty or felt so wonderfully in tune with nature.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


LINKS BY DEEPLINK
SCAN
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GLOB
Section: Linux Programmer's Manual (3)
Updated: 2014-08-19
Index
Return to Main Contents
NAME
glob, globfree - find pathnames matching a pattern, free memory from glob()
SYNOPSIS
#include <glob.h>
int glob(const char *pattern, int flags,
int (*errfunc) (const char *epath, int eerrno),
glob_t *pglob);
void globfree(glob_t *pglob);
DESCRIPTION
The
glob()
function searches for all the pathnames matching
pattern
according to the rules used by the shell (see
glob(7)).
No tilde expansion or parameter substitution is done; if you want
these, use
wordexp(3).
The
globfree()
function frees the dynamically allocated storage from an earlier call
to
glob().
The results of a
glob()
call are stored in the structure pointed to by
pglob.
This structure is of type
glob_t
(declared in
<glob.h>)
and includes the following elements defined by POSIX.2 (more may be
present as an extension):
typedef struct {
size_t gl_pathc; /* Count of paths matched so far */
char **gl_pathv; /* List of matched pathnames. */
size_t gl_offs; /* Slots to reserve in gl_pathv. */
} glob_t;
Results are stored in dynamically allocated storage.
The argument
flags
is made up of the bitwise OR of zero or more the following symbolic
constants, which modify the behavior of
glob():
- GLOB_ERR
-
Return upon a read error (because a directory does not
have read permission, for example).
By default,
glob()
attempts carry on despite errors,
reading all of the directories that it can.
- GLOB_MARK
-
Append a slash to each path which corresponds to a directory.
- GLOB_NOSORT
-
Don't sort the returned pathnames.
The only reason to do this is to save processing time.
By default, the returned pathnames are sorted.
- GLOB_DOOFFS
-
Reserve
pglob->gl_offs
slots at the beginning of the list of strings in
pglob->pathv.
The reserved slots contain null pointers.
- GLOB_NOCHECK
-
If no pattern matches, return the original pattern.
By default,
glob()
returns
GLOB_NOMATCH
if there are no matches.
- GLOB_APPEND
-
Append the results of this call to the vector of results
returned by a previous call to
glob().
Do not set this flag on the first invocation of
glob().
- GLOB_NOESCAPE
-
Don't allow backslash ('\') to be used as an escape
character.
Normally, a backslash can be used to quote the following character,
providing a mechanism to turn off the special meaning
metacharacters.
flags
may also include any of the following, which are GNU
extensions and not defined by POSIX.2:
- GLOB_PERIOD
-
Allow a leading period to be matched by metacharacters.
By default, metacharacters can't match a leading period.
- GLOB_ALTDIRFUNC
-
Use alternative functions
pglob->gl_closedir,
pglob->gl_readdir,
pglob->gl_opendir,
pglob->gl_lstat, and
pglob->gl_stat
for filesystem access instead of the normal library
functions.
- GLOB_BRACE
-
Expand
csh(1)
style brace expressions of the form
{a,b}.
Brace expressions can be nested.
Thus, for example, specifying the pattern
"{foo/{,cat,dog},bar}" would return the same results as four separate
glob()
calls using the strings:
"foo/",
"foo/cat",
"foo/dog",
and
"bar".
- GLOB_NOMAGIC
-
If the pattern contains no metacharacters,
then it should be returned as the sole matching word,
even if there is no file with that name.
- GLOB_TILDE
-
Carry out tilde expansion.
If a tilde ('~') is the only character in the pattern,
or an initial tilde is followed immediately by a slash ('/'),
then the home directory of the caller is substituted for
the tilde.
If an initial tilde is followed by a username (e.g., "~andrea/bin"),
then the tilde and username are substituted by the home directory
of that user.
If the username is invalid, or the home directory cannot be
determined, then no substitution is performed.
- GLOB_TILDE_CHECK
-
This provides behavior similar to that of
GLOB_TILDE.
The difference is that if the username is invalid, or the
home directory cannot be determined, then
instead of using the pattern itself as the name,
glob()
returns
GLOB_NOMATCH
to indicate an error.
- GLOB_ONLYDIR
-
This is a
hint
to
glob()
that the caller is interested only in directories that match the pattern.
If the implementation can easily determine file-type information,
then nondirectory files are not returned to the caller.
However, the caller must still check that returned files
are directories.
(The purpose of this flag is merely to optimize performance when
the caller is interested only in directories.)
If
errfunc
is not NULL,
it will be called in case of an error with the arguments
epath,
a pointer to the path which failed, and
eerrno,
the value of
errno
as returned from one of the calls to
opendir(3),
readdir(3),
or
stat(2).
If
errfunc
returns nonzero, or if
GLOB_ERR
is set,
glob()
will terminate after the call to
errfunc.
Upon successful return,
pglob->gl_pathc
contains the number of matched pathnames and
pglob->gl_pathv
contains a pointer to the list of pointers to matched pathnames.
The list of pointers is terminated by a null pointer.
It is possible to call
glob()
several times.
In that case, the
GLOB_APPEND
flag has to be set in
flags
on the second and later invocations.
As a GNU extension,
pglob->gl_flags
is set to the flags specified,
ored
with
GLOB_MAGCHAR
if any metacharacters were found.
RETURN VALUE
On successful completion,
glob()
returns zero.
Other possible returns are:
- GLOB_NOSPACE
-
for running out of memory,
- GLOB_ABORTED
-
for a read error, and
- GLOB_NOMATCH
-
for no found matches.
CONFORMING TO
POSIX.2, POSIX.1-2001.
NOTES
The structure elements
gl_pathc
and
gl_offs
are declared as
size_t
in glibc 2.1, as they should be according to POSIX.2,
but are declared as
int
in glibc 2.0.
BUGS
The
glob()
function may fail due to failure of underlying function calls, such as
malloc(3)
or
opendir(3).
These will store their error code in
errno.
EXAMPLE
One example of use is the following code, which simulates typing
ls -l *.c ../*.c
in the shell:
glob_t globbuf;
globbuf.gl_offs = 2;
glob("*.c", GLOB_DOOFFS, NULL, &globbuf);
glob("../*.c", GLOB_DOOFFS | GLOB_APPEND, NULL, &globbuf);
globbuf.gl_pathv[0] = "ls";
globbuf.gl_pathv[1] = "-l";
execvp("ls", &globbuf.gl_pathv[0]);
SEE ALSO
ls(1),
sh(1),
stat(2),
exec(3),
fnmatch(3),
malloc(3),
opendir(3),
readdir(3),
wordexp(3),
glob(7)
Index
- NAME
-
- SYNOPSIS
-
- DESCRIPTION
-
- RETURN VALUE
-
- CONFORMING TO
-
- NOTES
-
- BUGS
-
- EXAMPLE
-
- SEE ALSO
-
This document was created by
man2html,
using the manual pages.
Time: 02:55:08 GMT, September 18, 2014


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select()
- Method in interface edu.cnm.deepdive.mobilepunch.model.dao.
ClientDao
Select list.
select(long, long)
- Method in interface edu.cnm.deepdive.mobilepunch.model.dao.
ClientDao
Select client entity.
select(long, long)
- Method in interface edu.cnm.deepdive.mobilepunch.model.dao.
EquipmentDao
Select equipment entity.
select()
- Method in interface edu.cnm.deepdive.mobilepunch.model.dao.
EquipmentDao
Select list.
select(long, long)
- Method in interface edu.cnm.deepdive.mobilepunch.model.dao.
EventDao
Select list.
select()
- Method in interface edu.cnm.deepdive.mobilepunch.model.dao.
EventDao
Select list.
select()
- Method in interface edu.cnm.deepdive.mobilepunch.model.dao.
ProjectDao
Select list.
select(long, long)
- Method in interface edu.cnm.deepdive.mobilepunch.model.dao.
ProjectDao
Select project entity.
selectAll()
- Method in interface edu.cnm.deepdive.mobilepunch.model.dao.
ClientDao
Select all list.
selectAll()
- Method in interface edu.cnm.deepdive.mobilepunch.model.dao.
EquipmentDao
Select all list.
selectAll()
- Method in interface edu.cnm.deepdive.mobilepunch.model.dao.
ProjectDao
Select all list.
setAccount(GoogleSignInAccount)
- Method in class edu.cnm.deepdive.mobilepunch.controller.
FrontendApplication
Sets account.
setAddress(String)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ClientEntity
Sets address.
setAltAddress(String)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ClientEntity
Sets alt address.
setAltPhone(String)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ClientEntity
Sets alt phone.
setCalendar(Calendar)
- Method in class edu.cnm.deepdive.mobilepunch.controller.
DateTimePickerFragment
Sets calendar.
setClient(GoogleSignInClient)
- Method in class edu.cnm.deepdive.mobilepunch.controller.
FrontendApplication
Sets client.
setClient(ClientEntity)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ProjectEntity
Sets clients.
setClientId1(long)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ProjectEntity
setClientId2(long)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ProjectEntity
setDescription(String)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EquipmentEntity
Sets description.
setDescription(String)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EventEntity
Sets description.
setDescription(String)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ProjectEntity
Sets description.
setEmail(String)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ClientEntity
Sets email.
setEndDate(Date)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EventEntity
Sets end date.
setEndTime(Date)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ProjectEntity
Sets end time.
setEquipment(EquipmentEntity)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EventEntity
setEquipmentId1(long)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EventEntity
setEquipmentId2(long)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EventEntity
setEvents(List<EventEntity>)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ProjectEntity
Sets events.
setExpectedEndTime(Date)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ProjectEntity
Sets expected end time.
setExpenses(Double)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EventEntity
Sets expenses.
setId1(long)
- Method in interface edu.cnm.deepdive.mobilepunch.model.entities.abstraction.
UuidHaver
Sets id 1.
setId1(long)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ClientEntity
Sets id 1.
setId1(long)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EquipmentEntity
Sets id 1.
setId1(long)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EventEntity
Sets id 1.
setId1(long)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ProjectEntity
Sets id 1.
setId2(long)
- Method in interface edu.cnm.deepdive.mobilepunch.model.entities.abstraction.
UuidHaver
Sets id 2.
setId2(long)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ClientEntity
Sets id 2.
setId2(long)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EquipmentEntity
Sets id 2.
setId2(long)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EventEntity
Sets id 2.
setId2(long)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ProjectEntity
Sets id 2.
setIdentification(String)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EquipmentEntity
Sets identification.
setIdsFromUuid(UuidHaver)
- Static method in class edu.cnm.deepdive.mobilepunch.model.entities.abstraction.
UuidSetter
Sets ids from uuid.
setIncome(Double)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EventEntity
Sets income.
setLatitude(double)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EventEntity
Sets latitude.
setListener(DateTimePickerFragment.OnChangeListener)
- Method in class edu.cnm.deepdive.mobilepunch.controller.
DateTimePickerFragment
Sets listener.
setLongitude(double)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EventEntity
Sets longitude.
setMake(String)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EquipmentEntity
Sets make.
setManager(FragmentManager)
- Static method in class edu.cnm.deepdive.mobilepunch.
FragmentSwitcherActivity
Sets manager.
setMasterClientSet(Set<ClientEntity>)
- Static method in class edu.cnm.deepdive.mobilepunch.controller.
FrontendApplication
setMasterEquipmentSet(Set<EquipmentEntity>)
- Static method in class edu.cnm.deepdive.mobilepunch.controller.
FrontendApplication
setMasterProjectSet(Set<ProjectEntity>)
- Static method in class edu.cnm.deepdive.mobilepunch.controller.
FrontendApplication
setMfcyear(String)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EquipmentEntity
Sets mfcyear.
setMode(DateTimePickerFragment.Mode)
- Method in class edu.cnm.deepdive.mobilepunch.controller.
DateTimePickerFragment
Sets mode.
setModel(String)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EquipmentEntity
Sets model.
setName(String)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ClientEntity
Sets name.
setName(String)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EquipmentEntity
Sets name.
setName(String)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ProjectEntity
Sets name.
setNewRandomUuid(UuidHaver)
- Static method in class edu.cnm.deepdive.mobilepunch.model.entities.abstraction.
UuidSetter
Sets new random uuid.
setNotes(String)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ClientEntity
Sets notes.
setPhone(String)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ClientEntity
Sets phone.
setProjectId1(long)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EventEntity
Sets project id 1.
setProjectId2(long)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EventEntity
Sets project id 2.
setProjects(List<ProjectEntity>)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ClientEntity
Sets projects.
setStartDate(Date)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EventEntity
Sets start date.
setStartTime(Date)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ProjectEntity
Sets start time.
setUuid(UUID)
- Method in interface edu.cnm.deepdive.mobilepunch.model.entities.abstraction.
UuidHaver
Sets uuid.
setUuid(UUID)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ClientEntity
Sets uuid.
setUuid(UUID)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EquipmentEntity
Sets uuid.
setUuid(UUID)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
EventEntity
Sets uuid.
setUuid(UUID)
- Method in class edu.cnm.deepdive.mobilepunch.model.entities.
ProjectEntity
Sets uuid.
setUuidFromIds(UuidHaver)
- Static method in class edu.cnm.deepdive.mobilepunch.model.entities.abstraction.
UuidSetter
Sets uuid from ids.
skipLogin(View)
- Method in class edu.cnm.deepdive.mobilepunch.controller.
LoginActivity
Skip login.
switchFragment(Fragment, boolean, String)
- Static method in class edu.cnm.deepdive.mobilepunch.
FragmentSwitcherActivity
Switch fragment.
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1. Why do we care about data visualization?
We're pretty good at recording data.
Too good, probably.
- On an average day, Twitter generates about 500 million tweets. That's about 15 times the number of books in the Library of Congress
- In August 2010, Eric Schmidt, former CEO of Google, said that between the beginning of time and 2003, humanity generated about 5 exabytes (5 x 1018 bytes) of data.
- Now, we generate that much data roughly every 2 days.
These mountains of data add up. We record much more data than we can possibly analyze 1:1 in a lifetime.
Even when we aggregate data, it's not always clear what's going on.
And this is sort of a bummer, because
Data is only valuable when it's understood.
Anscombe's Quartet
4 Datasets with nearly-identical statistical properties
Anscombe's Quartet
Upon visual analysis, could not be more distinct from one another.
Statistical Detection of ... ?
source
Statistical Detection of Election Fraud
source
Visualization lends meaning to raw data.
2. Data Journalism
and Critical Thinking
- This access provides us with the means to think critically about the world around us.
- If you know even basic spreadsheet use, you can start using the aforementioned data to research the subject of your choice.
- Journalists have taken this to its logical next-step: Data-Driven investigative journalism.
- Sites like FiveThirtyEight and NYTimes' The Upshot give us ways to think about their data.
- In the absence of the ability to code and analyze the information ourselves, Data-Driven Journalism sites do us a great service when they provide methods for us to interact with their data.
- A mainstay of Data Journalism is the pairing of a story with the understanding that a reader's interpretation of it may differ.
- In practical terms, this means that the best data journalism allows the reader to sort, filter, combine and rearrange data through a visual interface.
3. Data Visualization:
Best Practices
In terms of static data visualization, we've been working at this for a long time. From 1910:
Good data design adheres to the properties of the visual encodings it uses
- Certain types of visualizations are well-suited to particular data types:
- Bar charts are boring, but well-suited to allow us to quickly determine differences in quantity:
- Sometimes pie graphs are okay for this too, but be warned: at a glance, people don't see area, they see height.
- Treemaps show quantity, plus a sense of hierarchy
- Maps provide several ways to show physical location.
- Maps are particularly versatile because of our common understanding of their expected shape; differences from our expectations let us see a different kind of story:
- This cartogram shows expected popularion by 2300. It is only by changing our previous knowledge of the shape of the world that this has any effect.
- Time-Series charts show how quantitative values change over time:
- Scatter plots show us the differences between things in two dimensions
- Network graphs show us the relationships between things - for example, this map of all of the followers of @CollideHalifax
- But - well-suitedness of interaction in data visualization is harder to pin down.
- Part of the difficulty: Giving users control over data means we can't test every possible outcome.
- This is okay! Letting a user have control of visuals is worth the potential to show your warts.
4. The Qualities of Highly Successful Interactive Data Visulizations
The Guardian - The state of our union is ... dumber
source
Scatter plot/ Time series, Small multiples. Allows user to parse and reveal.
BBC: Scotland Decides
source
Normalized bar chart, Map. Allows user to sort data.
The Guardian - Violence and guns in best-selling video games
source
Radial Bar Graph with edge-bundling. Allows user to filter.
Quick aside: be considerate about how you categorize.
NPR - When are people working?
source
Area Graph. Allows user to visually compare.
Musicians' Deaths by Age
source
Time Series. Allows user to filter based on category.
Visualizing MBTA Data
source
Parallel Coordinates, Maps, Bar and Area. Allows user to explore relative and absolute time, and compare stations/trains.
Githut
source
Small Multiples, Parallel Coordinates, Bar Chart. Allows user to compare languages, and view how they vary over time.
NY Times: How the Recession Reshaped the Economy, in 255 Charts
source
Loose interaction; the act of scrolling shows comparisons between industries. Sparklines. At the bottom, Small Multiples show the fuller picture.
Bloomberg Visual Data: State-by-State
source
Map, Vertical Bar Chart, Time-Series. Allows user to dig deeper and cross-compare state data.
- The primary theme among the interactions presented here is that they allow users to complete a few common, basic actions:
- Sort: Representing the data in different orders can reveal trends otherwise unseen
- Filter: Only show the data that meets certain user-defined criteria
- Compare: Allow the user to take pieces of the whole and see how they relate.
- Why do these visuals feel so compelling, compared to traditional static media, or data in chart format?
- The general pathway to understanding:
- Unstructured Information
- Data
- Structured Information
- Knowledge
- Wisdom
- Visualization helps bridge the gap between Knowledge and Wisdom. Interactivity prompts exploration, and exploration leads to understanding.
- And smarter users = good for everyone.
5. In which I stop using buzzwords and we build something.
Let's get some data.
- In the interest of keeping this accessible, I'll be using as few frameworks as possible. Talk to me later if you want to know what my data workflow usually looks like, but it generally involves Ember.
- We'll be scraping Twitter for followers of @CollideHalifax. If you want to follow along, head over to Your Followers Page.
- Note: Twitter has an API endpoint to let you do exactly this, but in the spirit of extensibility, let's do it manually.
- Using Chrome or Firefox, on your followers page, right-click a user's handle and click "Inspect Element".
- The HTML element you inspected should show up. Note the text in the element, but more importantly, the class:
.u-linkComplex-target
- Right now, we just have an array of follower URLs
- We'd like to get more information about these users: How many times they've tweeted, when they joined, how many followers they've got, etc.
- Lots of ways to do this; Casper/PhantomJS on Node to simulate a browser and grab html data, or more commonly in Python using any number of frameworks: ScraPy, BeautifulSoup, Portia, etc.
- UI-based tools exist that do this as well: Import.io is a good one.
- BeautifulSoup uses urllib2 to read a URL from our file and present it as text output
- At the end of this process (will take a few minutes), an array of parsed folks will be generated, and saved to parsed_folks.json, where each entry looks like the following:
[...
{
"bio": "Data Vis + Ember + D3.js // Cofounder @AffinioInc",
"handle": "phil_renaud",
"name": "Phil Renaud",
"url": "http://riot.industries",
"tweets": [...],
"followers": "1,473",
"location": "Halifax, Nova Scotia, Canada",
"favorites": "1,422",
"following": "926",
"joinDate": "8:48 PM - 8 Apr 2008",
"num_tweets": "3,305",
"avatar": "https://pbs.twimg.com/profile_images/497537241405612032/TqVgj3zv_mini.jpeg"
},
...]
We can now load our parsed_folks.json file in via AJAX for further analysis.
6. Wrangling Data
(Don't worry, the Python part is over now)
- Now that we have our parsed data, you'll notice that some values are great for humans to read, but not necessarily so for computers.
[...
{
"bio": "Data Vis + Ember + D3.js // Cofounder @AffinioInc",
"handle": "phil_renaud",
"name": "Phil Renaud",
"url": "http://riot.industries",
"tweets": [...],
"followers": "1,473",
"location": "Halifax, Nova Scotia, Canada",
"favorites": "1,422",
"following": "926",
"joinDate": "8:48 PM - 8 Apr 2008",
"num_tweets": "3,305",
"avatar": "https://pbs.twimg.com/profile_images/497537241405612032/TqVgj3zv_mini.jpeg"
},
...]
Example: Some users have "1.4K Followers", others have "1400 followers". Some users have never favorited anything. The join date, when it exists, is in a strange format.
We'll use a couple javascript libraries, Numeral.js and Moment.js, to help get our data wrangled.
Clean up your numbers with Numeral.js
this.followers = "1.4k";
numeral().unformat(this.followers.toLowerCase());
//1400
Convert your dates to timestamps with Moment.js
this.joinDate = "8:48 PM - 8 Apr 2008";
moment(this.joinDate).format('X')
//1207687680
Convert those timestamps to "Days ago" with moment.duration() and moment.asDays()
moment.duration(new Date().getTime() -<PHONE_NUMBER>*1000).asDays().toFixed(0)
//2388
Wrangled Data:
(Did you find yourself?)
- Cool! Takes about a second to load ~1500 records
- All our stats are there, and now cleaned up ("days active" rather than the original join date)
- Let's add some basic interactivity
Sorting
- We can leverage Underscore.js ( or Lo-dash ) to let the user control the order in which we present our data:
function sort_by(property){
folks = _.sortBy(folks, function(user){
return user[property] ? user[property] : 0;
});
}; //sort_by
A conditional check is used to return either the value requested, or in the case where the user might not have that particular property (say, they've never favorited anything), we simply return 0.
Building in a "sort in reverse" function is simple with javascript: [].reverse()
can be used with no framework overhead.
Filtering
- While 1500 records is pretty small in data science terms, there will be times where a user only wants to analyze a small subset of them.
- Let's allow the user to filter on Less than, more than, or exactly a value of any of the properties we just sorted on:
Filtering
- Underscore provides the
_.filter()
function; let's leverage it to return better-tailored data:
function filter_by(operator, property, val){
folks = _.filter(folks, function(user){
if (operator == 'less_than') {
return user[property] < val;
} else if (operator == 'exactly') {
return user[property] == val;
} else if (operator == 'more_than') {
return user[property] > val;
}
}); //_.filter
}; //filter
Comparisons
- A neat thing we can do is calculate how any of our numeric values relate to one another.
- For any given user, how many followers do they have per day they've been on twitter? How many favorites per tweet?
- We can provide a user with an interface to pick any two metrics, and create a new metric on the fly that compares them:
function compare(p1,p2){
folks = _.sortBy(folks, function(user){
user.relative = user[p1] && user[p2] ? (user[p1] / user[p2]) : 0;
user.relative_terms = p1 + ' per ' + p2;
return user.relative
});
}; //compare
Comparisons
- Since we're tabulating this new comparison metric on the fly, we may as well gather some meta-information about it.
//get the average by using underscore's _.reduce and _.pluck
meta.average = (_.reduce(_.pluck(folks, 'relative'), function(memo,it){ return memo+it; }) / folks.length).toFixed(2);
//find the lower and upper bounds with _.min and _.max
meta.min = (_.min(_.pluck(folks, 'relative'), function(it){ return it; })).toFixed(2);
meta.max = (_.max(_.pluck(folks, 'relative'), function(it){ return it; })).toFixed(2);
//find the length of the potentially-filtered dataset
meta.size = folks.length
Adding Visuals
- Since we're now providing methods compare data points across two dimensions (our comparables), an appropriate data visualization method to use would be the Scatter Plot.
- SVG is well-suited to represented data-driven graphics like this on the web. D3.js is the best available tool for manipulating SVG in the browser.
- D3's not just for making charts; the range of potential applications is vast.
- For a very good intro, check out square.github.io/intro-to-d3
Adding Visuals: Scales
- Some of our data is of very narrow range (Length of chararacters in a user's bio: 0 - 200); others are very wide (followers: 5 - 980,000). Because of these wide ranges, it's sometimes appropriate to determine if a linear or logarithmic scale is needed.
- D3 has methods for this - a 100-pixel-wide linear-scale graph will have its 0th pixel and 100th pixel mapped to the min and max values of your dataset, respectively.
- But for a log-scale graph, D3 lets us set a domain and range to handle positioning. Check out a logarithmic X-scale:
// Provide each graph point as [X,Y]
var dataset = _.map(folks, function(user){
return [user[p1], user[p2]]
})
// Plot to a log scale mapped to 0-100
xScale = d3.scale.log()
.domain([d3.min(dataset, function(d) { return d[0]; }), d3.max(dataset, function(d) { return d[0]; })])
.range([0,100]);
Adding Visuals: Adding a Linear Regression / Trend Line
- Since we'll be plotting many values along an X/Y plane, we have the opportunity to draw a trend line.
- A javascript library called Simple Statistics is light-weight and gives us the power to create linear regressions from our data:
// Derive a linear regression
var lin = ss.linear_regression().data(dataset).line();
svg.append("path")
.datum(lindata)
.attr("class", "reg")
.attr("d", line);
So that's how I give users interactive control over their data.
8. Addendum: All the wonderful, terrible things I now know about you.
- Earlier, I showed a network graph visualization:
- Find it at collide.riot.industries/network.jpg
- This graph is made up of the 1500 people who follow @CollideHalifax, and presents them each as circles (nodes).
- Every relationship between these people is also explored, by checking their followers pages. we can see whether their followers also follow @CollideHalifax. If they do, we draw a line between them.
- The more lines you have drawn to you, the bigger your circle/label are in the graph
- I then ran a modularity algorithm to determine how the 1500 or so people organized themselves. It found 5 basic clusters.
Yellow = Music Fans
Blue = Halifax Startups and Tech
Orange = Arts and Culture
Teal = Local Companies and Brands
Pink = Halifax Locals and Venues
- Note the relative proximity of nodes of differing colors to one another.
- @innovacorp straddles the line between startups and local companies
- @aceburger is in the "locals and venues" modularity class, but mingles with the Music Fans cluster - probably has to do with people following them for info about bands playing at Gus' Pub, etc.
- The relative proximity of nodes is generated in Gephi using a pair of force-directed algorithms: OpenOrd and ForceAtlas2
- Come talk to me later if you want to talk more about network graph visualization - it's my jam.
- Affinio is a tool for analyzing groups on social networks like Twitter. Lets us run clustering algorithms to see how niches, like the 5 above, interact.
- Helps us answer questions like "Who influences local Startup employees?"
- or "What links are Halifax locals sharing?"
- or "What are Halifax restaurant-goers talking about?"
Tools like this give users the opportunity to build tiny data labs.
Letting users drive interactive data = democratization of information


{% include 'base.html' %} {{super}}
Welcome to Pic-zone Best place to see pictures of your desire .
Location: {{data.location_item}} Category: {{data.category_item}}


← Back to all examples.
Use the orientation method to retrieve and set the orientation. Use the flip method to flip orientation.
orientation
flip


If you have any queries, please send a message and a representative will contact you.
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{% extends 'base.html' %} {% load static %} {% block content %}
Panchang is the traditional Indian almanac, which follows traditional units of Indian timekeeping, and present important dates and their calculations in tabulated form. Panchang has been in practice for 5000 years. Invaluable meteorogical rainfall predictions are enshrined in it. They are generalized over a region,based on an astrological phenomena like planet-star conjuctions, transits, planetary regin,etc.
{{today}}
{{request.session.weather_status}}
{{key| date:"d/m/Y"}}
{{value}}
{{key| date:"d/m/Y"}}
{{value}}


{% extends "layout.html" %} {% block page_title %} Calculator {% endblock %} {% block head %} {% include "includes/head.html" %} {% include "includes/scripts.html" %} {% endblock %} {% import "templates/button.html" as button %} {% block content %} {% include "includes/phase_banner_beta.html" %} {% include "includes/buttons/back.html" %} Calculator {% endblock %}


+++ type = "article" title = "Development" date = "2009-09-11T06:38:22.000Z" tags = [] +++
Development Community
Welcome to the Development home for Haiku! Here is a general overview of the information available for developers who would like to contribute to the Haiku Project. To find out more about the developer community, check out the IRC and mailing list links in the box to the right.


You have 3 Notification
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You have 4 Mails
Hello, this is an example msg
Lorem ipsum dolor sit amet, consectetur
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Google to offer checking accounts for consumers: WSJ
Alphabet Inc's Google will offer checking accounts to customers starting next year in a finance push, the Wall Street Journal reported on Wednesday.
REUTERS: Alphabet Inc's Google will offer checking accounts to customers starting next year in a finance push, the Wall Street Journal reported on Wednesday.
The project, named Cache, will have accounts by Citigroup Inc and a credit union at Stanford University, according to the report. (https://on.wsj.com/2Qeppb5)
"Our approach is going to be to partner deeply with banks and the financial system," Caesar Sengupta, general manager and vice-president of payments at Google, told the Journal in an interview.
"It may be the slightly longer path, but it's more sustainable," Sengupta was quoted as saying in the report.
Google did not immediately respond to a Reuters request for comment.
(Reporting by Neha Malara in Bengaluru; Editing by Maju Samuel)


 -
Turn Down for What
Turn down for what? Turn down for what? Turn down for what? Turn down for what? Turn down for what? Fire up that loud, a... -
Lean On
Do you recall, not long ago We would walk on the sidewalk Innocent, remember? All we did was care for each other But the... -
Turn Down For ???
[by:老衲前来除月莫慰道] 作曲 : 无 作词 : 无 Fire up that loud, another round of shots Turn down for what? Turn! Turn down for what? T... -
Ocho Cinco
[by:Armin6] More than,do you love me,yeah,yeah? More than,do you love me,me,me? More than,do you love me,ai,ai? Love me,...   -
Turn Down For What
Fire up that loud Another round of shots... Turn down for what? Turn down for what? Turn down for what? Turn down for w... -
Drop
[by:immaculatewhore] Drop to the beat Drop to the beat Drop, drop to the beat Drop to the beat Move, move to the beat Mo... -
Slow Down
[by:Jarson1114] [ti:] [ar:] [al:] [by:九九Lrc歌词网～www.99Lrc.net] Stop!Slow down baby Stop!Slow down baby Stop!Slow down ba... -
Lean on (Malaa Remix)
[by:IM花花] Do you recall, not long ago We would walk on the sidewalk Innocent, remember? All we did was care for each oth... -
Loco Contigo (Cedric Gervais Remix)
[by:Trap_Girl] 作曲 : William Grigahcine/Jose Alvaro Osorio Balvin/Justin Quiles/Michael Ray Stevenson 作词 : William Grig... -
Let Me Love You
[by:hondoes] 作曲 : Justin Bieber/William Grigahcine/Andrew Watt/Ali Tamposi/Brian D. Lee/Louis Bell/Austin Roser 作词 : ... -
Let Me Love You & Tum Hi Ho (Vidya Vox Mashup)
l used to believe We were burning on the edge of something beautiful Something beautiful Selling a dream Smoke and miror...  -
A Different Way
[by:hondoes] Could you believe I could be different? I'll be the difference, I'll lift you high And I understand your he... -
Different Way (Chris Robleda & Unregular Remix)
[by:VilstarZaslavski] Could you believe? I could be different I'll be the difference I'll lift you high And I understand... -
Let Me Love You (R3hab Remix)
[by:NickyRomero] I used to believe We were burnin' on the edge of somethin' beautiful Somethin' beautiful Selling a drea... -
Middle
[by:Bl_ues] [ti:] [ar:] [al:] Staring at two different views on your window ledge Coffee is going cold, it's like time f... -
Taki Taki
[by:Trap_Girl] Wo-oh, oh-oh Bailame como si fuera la última vez Y enséñame ese pasito que no sé Un besito bien suavecit... -
Loco Contigo
[by:Trap_Girl] 作曲 : William Grigahcine/Jose Alvaro Osorio Balvin/Justin Quiles/Michael Ray Stevenson 作词 : William Grig... -
Quiet Storm
[by:本尼托先生] 作曲 : William Grigahcine/Joshua Jenkin 作词 : William Grigahcine/Joshua Jenkin Jumavei ja jumavoi käppee heik... -
Safety (feat. DJ Snake)
作曲 : Labinot Gashi/Nathan Cunningham/Marc Sibley/William Grigahcine 作词 : Labinot Gashi/Nathan Cunningham/Marc Sibley/W... -
Turn Down for Tiny Tim (TØm Remake)
作曲 : 无 作词 : 无 I'm so happy! Aha! Happy go lucky me! I just go my way, Living everyday! I don't worry! Worrying don't a...  -
Recognize (Mercer Remix)
[by:Trap_Girl] 作曲 : William Grigahcine/Parrish Warrington/Diederik van Elsas/Krystin Watkins 作词 : William Grigahcine/P... -
You Know You Like It
[by:Davy___] Some people want me to be heads or tails I say no way, try again, another day I should be happy, not tippin... -
Let's Get Ill (Radio Edit)
[by:小陀螺Tony] Party people, your dreams have now been fulfilled Get out your seats, and let's get ill Party people, your ... -
Talk
[by:丶阿良良木暦] 作曲 : William Grigahcine/Jess Higgs/Chris Emerson/Harley Streten/Alex Burnett/James David 作词 : William Grig... -
Public Enemy
[by:hondoes] 作曲 : Jim Taihuttu/Nils Rondhuis/Thom van der Bruggen/William Grigahcine 作词 : Jim Taihuttu/Nils Rondhuis/T... -
Good Day
[by:hondoes] You make me feel like All those kids that Were supposed to stay the night But changed their mind and call t... -
Broken Summer
作曲 : William Grigahcine 作词 : William Grigahcine Lover of mine, how have you been? Cause it's been a while since the su... -
Creep On Me
[by:Trap_Girl] 作曲 : Labinot Gashi/Henry Walter/Karim Kharbouch/William Grigahcine 作词 : Labinot Gashi/Henry Walter/Kari... -
4 Life (Habstrakt Remix)
[by:小陀螺Tony] I came from nothing, ain't that something? Look what I've been through And now I'm out here, feel like my y... -
TAKI TAKI（Tripped Remix Feet.KrateX)
作曲 : Tripped/Kratex/DJ Snake 作词 : Selena Gomez/Ozuna/Cardi B Bailame como si fuera la última vez为我舞蹈，就当作是最后一次 Y enséña... -
Higher Brothers - Made In China (Spoog Bootleg)
作曲 : Spoog 作词 : Higher Brothers My chains new gold watch made in china We play ping pong ball made in china 给****买点儿奢侈... -
Enzo
[by:Trap_Girl] 作曲 : William Grigahcine/Khadimou Fall/Radric Delantic Davis/Kiari Kendrell Cephus/Shayaa Bin Abraham-Jos... -
No More
[by:INSide_497] [length: 02:46.034] [tool: 歌词滚动姬 https://lrc-maker.github.io] 作曲 : William Grigahcine/King Henry/Kenned... -
Here Comes The Night (NGHTMRE Remix)
[by:NickyRomero] There's no light, no light in the sky And it gets so cold when she leaves my side Maybe she's the light... -
Lean On
[by:OversG] Do you recall, not long ago We would walk on the sidewalk? Innocent, remember? All we did was care for each ... -
Lean On ( Dimitri Vegas & Like Mike Tomorrowland Remix )
[by:小陀螺Tony] Do you recall, not long ago We would walk on the sidewalk Innocent, remember? All we did was care for each ...


1.
Applications and strategies
By Wikipedia
The application of sophisticated linguistic analysis to news and social media has grown from an area of research to mature product solutions since 2007. News analytics and news sentiment calculations are now routinely used by both buy-side and sell side in alpha generation, trading execution, risk management, and market surveillance and compliance. There is however a good deal of variation in the quality, effectiveness and completeness of currently available solutions.


Messages
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Gates
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Raspi Serial
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Out Time
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Out Time
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Derek Eder
@derekeder
RT @andreasklinger: Scary good scam mail
- email by real person
- content credible
- link looks like attachment
- landingpage looks real ht…
8/22/2016, 5:29:57 PM
Favs: 0
Retweets: 0
link← @derekeder Twitter archive
Derek Eder
@derekeder
RT @andreasklinger: Scary good scam mail
- email by real person
- content credible
- link looks like attachment
- landingpage looks real ht…
8/22/2016, 5:29:57 PM
Favs: 0
Retweets: 0
link


This documentation is for version {{ version }}, which is not released yet.
Grab the source code from Github to install this version.
You can go to the documentation for the last release here.
{% else %}This documentation is for the {{ release }} release. You can install it with pip:
pip install --upgrade --no-deps statsmodelsor conda:
conda install statsmodelsDocumentation for the current development version is here. {% endif %}
Please ask questions in the Google Group.
Bug reports and feature requests can be made on our Github.
Contributions of all sizes are always welcome! Have a look at our Developer Pages.


Assignment 3: Bezier Subdivision
Will timestamp when extra credit was done after due date
Note: Object files don't work perfectly, only look good with high step size.
The program converts the object file passed in to 'temp.bez' and reads that.
Note 2: Object files work on my machine but not my partner's for some reason.
If running it on an object file doesn't work, try running on the 'temp.bez' that it outputs.
Keys: arrows, shift+arrows, +, -, 'w', 's' as expected
'a' switches between uniform and adaptive subdivision
'r' resets the object's orientation to its inital orientation'
'h' enables hidden line mode
Simple wireframe with uniform subdivison
./as3 test.bez 0.05
Simple wireframe with hidden line mode enabled (press 'h')
./as3 test.bez 0.05
Simple wireframe with adaptive subdivision
./as3 test.bez 0.001 -a
Adaptive subdivision with shading
./as3 test.bez 0.001 -a
Uniform subdivision wireframe
./as3 teapot.bez 0.05
Uniform subdivision wireframe with hidden line mode enabled
./as3 teapot.bez 0.05
Adaptive subdivision with flat shading (intentional low poly)
./as3 teapot.bez 0.1 -a
Adaptive subdivision with smooth shading (intentional low poly)
./as3 teapot.bez 0.1 -a
Adaptive subdivision with smooth shading (high poly)
./as3 teapot.bez 0.001 -a
Simple teacup
./as3 teacup.bez 0.05
Skyrim's Alduin. Sorry Paarthurnax
./as3 alduin.bez 0.5 (Converted from obj to bez beforehand)
Flying
./as3 alduin.bez 0.5
I summon thee, No-eyes Blue Dragon!
./as3 alduin.bez 0.5
Too many patches to get a good wireframe
./as3 alduin.bez 0.5
Beat Stanfurd!
./as3 armadillo.bez 1 (huge file when converted from bez to obj, so didn't include. Also the reason for the non-existant step size)
The bunny from raytracer
./as3 -o bunny.obj 0.5
(Duel berettas)/2
./as3 -o beretta.obj 1 (more subdivision = more ugly)


Awesome Corp.
Sample Street 3
4292 Sample City
Invoice
| Description |
Hrs |
Hr. Cost |
Sub Total |
| Creating a giant fluffy unicorn |
10 |
$80.00 |
$800 |
| Setting the unicorn on fire |
0.5 |
$80.00 |
$40 |
| Creating a new one |
1 |
$40.00 |
$40.00 |
| This makes no sense |
12 |
$40.00 |
$480.00 |
Sub Total: $1360.00 / Grand Total: $13600.00 (no tax)
Terms
- Payments are to be made payable to [NAME] via Paypal[^1] or Direct Deposit[^2].
- Grand Total must be paid by the end of [DATE] (30 days).
- If Grand Total is not paid by the end of [DATE], an late-fee[^3] will be applied to the Grand Total.
Payments
| Date |
Method |
Amount |
| 2012-01-15 |
Paypal |
$100.00 |


Part 1: Image Histograms
Using QGIS (or ArcGIS if that is your preference), display the Band 2 (blue) image (LC09_L2SP_018030_20220614_20220616_02_T1_SR_B2
), contained in the decompressed Lab 2 data folder, which you should have downloaded from the CourseLink site. You should find the the image looks something like the following:
This is the same scene as the imagery that we used in Lab 1, however, it has had some extra processing (it is a Landsat 9 Level-2 image data set compared with the Level-1 data that we used in Lab 1). You may notice that overall this image appears to be quite dark and generally has poor contrast. Image contrast describes the degree to which objects or features within an image can be distinguished in relation to other nearby objects within the scene by their varying brightness. When all of the features in an image are similarly dark, or similarly bright, then the image has poor contrast. Image contrast is one of the most important characteristcs determining the usefulness of an image in visual interpretation (by humans) and the image's overall information content.
When an image appears overall dark with poor contrast, as with our Band 2 image, it is the result of a relatively small number of very bright pixels. The majority of pixels occupy relatively dark radiometric positions, i.e, darker greytones, because of these few very bright pixels. This is very often the result of the presence of cloud cover in the image, clouds being highly reflective throughout much of the spectrum used in Earth observation. However, this is not the case for our scene. If you recall from Lab 1, this scene had relatively little cloud cover. Furthermore, the processing used to generate this Landsat 9 Level-2 image removed much of the cloud cover that we saw in Lab 1. And yet this image still contains some pixels that are much brighter.
1.1. Inspect the image closely. What broadly defined land-cover type is associated with the very brightest pixels in this scene? Here, adding an OpenStreetMap layer can be helpful in your interpretation. (1 mark)
Display the Band 2 image's histogram; in QGIS, you would do this by opening the layer properties, selecting the Histogram tab (on the left), and finally pressing the Compute Histogram button. An image histogram shows the frequency distribution of pixel values. You'll notice that the Band 2 image histogram is bimodal, i.e. that it has two peaks.
1.2. Why do you think that this image histogram is bimodal? What land-cover types are associated with the two peaks in the histogram? (2 marks)
Another thing that you'll notice about the Band 2 image histogram is that it doesn't occupy the full dynamic range. The dynamic range is a reference to the range in brightness values and is related to the radiometric resolution, or bit-depth of the sensor. In the case of Landsat 9, the OLI-2 sensor has a 14-bit radiometric resolution, meaning that it is capable of producing images with 16384 different greytones. Using the script below (being sure to modify it to reflect the appropriate floating license ID, in both places, and your working directory containing the lab data) apply the Whitebox Workflows raster_summary
function to calculate the minimum, maximum, and average digital numbers (DNs) in each of the seven bands of imagery associated with the scene.
raster_summary.py
import os
import whitebox_workflows
wbe = whitebox_workflows.WbEnvironment('floating-license-ID') # Initialize Whitebox
try:
# declare your working directory as a variable
wbe.working_directory = "/path/to/lab/data" # BE SURE TO UPDATE THIS
assert(os.path.isdir(wbe.working_directory)) # Check to make sure that your workign directory is a valid directory
wbe.verbose = False # We don't need constant progress updates for every other tool though
base_file_name = "LC09_L2SP_018030_20220614_20220616_02_T1_"
# We'll transform the first 7 bands of the data set
for band in range(7): # range counts up to, but not including, the value
# The bands are indexed 1, 2, 3... but the mult_term list is indexed 0, 1, 2...
band_num = band + 1
print(f"\nRaster summary for band {band_num}...")
image_file = f"{base_file_name}SR_B{band_num}.tif" # The name of this file
band_data = wbe.read_raster(image_file) # Read the file into memory
print(wbe.raster_summary_stats(band_data))
# Provide some indication that the job is done.
print("Operation complete!")
except Exception as e:
print(f"Exception: {e}")
finally:
print(wbe.check_in_license("floating-license-ID"))
1.3. What are the minimum, maximum, and average DNs for each of the bands of imagery? (7 marks)
1.4. Is the average DN nearer the minimum or the maximum for each of the bands? What does this imply in terms of the contrast of thee iamges? (2 marks)
In reality, the minimum and maximum pixel values occupy the extremes of the frequency distribution and there are relatively few cells in these regions of the histograms. This is an important thing to remember for the next section of this lab on contrast enhancements.


As promised, I’d like to elaborate on the URL routing system I came up with.
Weighing at less than 200 lines of code (including example), I’ll let it speak for itself: download it.
This approach seems to be working great for us. Love it? Hate it? Feel free to let me know what you think.
Imported Comments
Dead Man
You are hardcoding child views in the children method of each view which means the view can’t decide what (type of) children it has based on the current path segment. For example, I have a use case in which some content types can contain children of more than 1 type, so for example /foobar/child/ can either be a TypeAView or TypeBView depending on whether a TypeA with name “child” can be found or not – if it cannot be found, TypeBView will be returned. If your children() method took a path segment as an argument, it would probably solve this problem.
BTW have you checked out how Restish resolves/dispatches URLs? I think they have it right when it comes to dynamic URL trees.
Brandon Bloom
Child views are not “hard coded”. They are determined by the children method. You could pass segment, but it would be easier for the bind method to just store something on self for use later.
I looked at Restish a bit. It seems like a nice library; definitely the closest to my taste from what I’ve seen.
Thomas
I’d recommend taking a look at Werkzeug for your routing & other wsgi basic needs.
As a follow-up to the previous post, Jinja 2 makes for an excellent templating engine (think django but much faster and without the stupid limitations).
And as a shameless plug, have a look at WTForms for your forms: http://wtforms.simplecodes.com/
Andriy Drozdyuk
I am sorry I still don’t get how this serves as an improvement over Django’s url system?
Can you provide me with a concrete example of what you cannot do in Django in terms or url-routing?
Andriy Drozdyuk
in terms of* I meant. Spelling is not one of my strongest areas eh?
Brandon Bloom
There is nothing that Django’s routing can’t do. In fact, the first version of this simply generated Django routes. This is about making is faster and easier to define hierarchical permissions and trees of URLs in a way that queries the database on a per-url-segment basis.


Inspect the main element in the dev console and resize the page. You'll see different classes being added/removed from the main tag based on the width the element is.
Clicking on the element will toggle the container queries on and off.


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college coach
Paul Flores
Tennis and Backetball Coach
Harvard University
New Cityland, CA
-
167
Connected
Coaches -
2 / 5
Nominated
Athletes
Description
Professional Summar
Child-oriented tennis coach with eight years of experience working across diverse age ranges. Previous clients include John J. Smith (winner, Fred Wells Summer Series, 2015) and Diane Walker, (winner, Genesis Rock Road, 2015). Excel at making group tennis lessons accessible and fun for various playing levels and abilities. Professional Tennis Registry certification.
Current Coaching Positions
-Ability to use language and examples that children of all levels understand -Physical fitness -Ongoing education on tennis knowledge and trends -Special expertise in left-handedness, serves, and lobs -Patient -Communication with parents (both oral and in writing) -Humor and making lessons fun, challenging, and engaging -Observation, evaluation, and delivering feedback constructively -Coordinating activities and multi-tasking
Child-oriented tennis coach with eight years of experience working across diverse age ranges. Previous clients include John J. Smith (winner, Fred Wells Summer Series, 2015) and Diane Walker, (winner, Genesis Rock Road, 2015). Excel at making group tennis lessons accessible and fun for various playing levels and abilities. Professional Tennis Registry certification.
Current Coaching Positions
-Ability to use language and examples that children of all levels understand -Physical fitness -Ongoing education on tennis knowledge and trends -Special expertise in left-handedness, serves, and lobs -Patient -Communication with parents (both oral and in writing) -Humor and making lessons fun, challenging, and engaging -Observation, evaluation, and delivering feedback constructively -Coordinating activities and multi-tasking
About the College
Description
Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts, has an enrollment of over 20,000 degree candidates, including undergraduate, graduate, and professional students. Harvard has more than 360,000 alumni around the world.
Scholarships
-
#124-345Status2018
This scholarship is no longer
available in 2018
2019+3Created byCaleb Morales Head coach 3 / 10 -
#124-345Status20182019+3Created byCaleb Morales Head coach 3 / 10
-
#124-345Status2018
This scholarship is no longer
available in 2018
2019+32020 2021 2022Created byCaleb Morales Head coach 3 / 10 -
#124-345Status2018
This scholarship is no longer
available in 2018
2019+32020 2021 2022Created byCaleb Morales Head coach 3 / 10


Man (30s) due in court over Clondalkin firearm seizure
Gardaí seize loaded firearm and ammunition at west Dublin house over weekend
by Sarah BurnsA man in his 30s is due before a Dublin court on Monday morning after a loaded firearm and ammunition was seized at a house in west Dublin over the weekend.
The discovery was made at a house in Clondalkin on Friday and was part of an intelligence led operation by the Garda National Drugs and Organised Crime Bureau.
Two men aged in their 30s and 20s were arrested. The man in his 30s has been charged in relation to the incident and is due before Dublin District Court at the Criminal Courts of Justice at 10.30am.
The other man remains in Garda custody.