The Continuum of Everything
I recently wrote about searching for extraterrestrial life in our solar system. In that post, I put forward a novel way of defining life that I call biopresentation. So it was with some surprise when I listened to a recent podcast of Isaac Arthur entitled “Post-Science Civilizations” and realized that part of what he was explaining reached right into the heart of my argument and even expanded it. Here’s the YouTube video for it:
In this, he discusses what would happen if we “run out of science,” though there are several possible paths to that. As someone who loves chess, one of the things I appreciated was him pointing out that knowing all the rules of chess doesn’t mean you’re a master of it. So if we learn all the rules of physics, that doesn’t mean we can instantly figure out what to do with them.
However, my big “a ha!” moment was Isaac Arthur pointing out that chemistry is emergent from physics and biology is emergent from chemistry. For now, we’ll avoid the obvious, and unanswerable, question: “what, if anything, is physics emergent from?”
Since chemistry emerges from physics, chemistry is physics. Since biology emerges from chemistry, biology is chemistry, but it’s physics, too. Now for some, this seems trivial. After all, we’ve learned from astronauts in microgravity that our body needs gravity to function well. But it turns out that life might not only require quantum mechanics to lead to chemistry, but life might be actively requiring quantum mechanics to continue existing. There’s an entire field called quantum biology . We’ve known for over a decade that photosynthesis might rely on “quantum coherence” to generate energy . Quantum neurophysics is a new field, too. Special relativity may be critical to our functioning, not just to our existence.
Getting back to the main point, the question we should ask is, “if biology is emergent from chemistry, where do we draw the line?”
We don’t. It’s a continuum. Rather than refer you to a previous post I wrote, I’ll repeat myself.
What Is Life?
This must be prefaced with the “life as we know it” caveat (and I’ll give examples later).
One definition of life , as taken from Merriam-Webster, is “an organismic state characterized by capacity for metabolism, growth, reaction to stimuli, and reproduction.” But right off the bat we see a problem. Mules, for example, don’t reproduce. Would you say they’re not alive? Of course not. Biologists get much more sophisticated than Merriam-Webster, but many of their definitions still boil down to a true/false value.
What about fire? It reacts to stimuli and grows . We could even argue that it metabolizes—what it consumes for energy to keep growing—and reproduces by budding, but we don’t think of it as “alive.”
There are other properties of life, however. Homeostasis is the body’s ability to internally regulate itself and keep functioning. Does fire exhibit homeostasis? It’s hard to argue that it does. However, warm-blooded and cold-blooded animals have completely different approaches to homeostasis and homeostasis evolved over time , so there are different levels of homeostasis. Maybe we can argue that humans have a homeostasis level of ten while fire has a homeostasis level of one? A piece of flint, however, would have a homeostasis level of zero.
But why would we argue that?
Life as Biopresentation
When I was working on ETL systems to reduce the cost of Phase III clinical trials , I often found myself working with data supplied by many pharmaceutical companies. Company A might refer to “Dr. Robert Smith, St. Mary’s Hospital, Arlington, Virginia.” Company B might refer to “Dr. Bob Smith, St. May’s Hospital, Arlington, Virginia.” Are they the same person? “St. May’s Hospital” might be a typo. “Bob” is short for “Robert.” Maybe they are the same person.
In reality, it’s hard to definitively state “yes” or “no.” Instead, I had access to tons of information about each researcher, including email addresses, phone numbers, birth dates, and so on. I would assign scores (how reliable) and weights (how important) to each piece of data and if two researchers crossed a certain threshold, they were probably the same researcher and we didn’t have to spend valuable time and money trying to manually verify this.
This same approach should be taken to the definition of life. Instead of life being a binary “yes or no,” we should describe its “biopresentation,” or “how present are the signs of life in a ‘thing.'” So for a virus:
| Property | Score | Weight | Value |
|---|---|---|---|
| Metabolism | 1 | 5 | 3 |
| Homeostasis | 0 | 4 | 0 |
| Growth | 0 | 2 | 0 |
| Reproduction | 3 | 4 | 12 |
| Communication | 1 | 5 | 5 |
In the above, a virus might have a biopresentation of 20. A human, however, would be radically different:
| Property | Score | Weight | Value |
|---|---|---|---|
| Metabolism | 5 | 5 | 25 |
| Homeostasis | 5 | 4 | 20 |
| Growth | 5 | 2 | 10 |
| Reproduction | 5 | 4 | 20 |
| Communication | 5 | 5 | 25 |
A human might have a biopresentation score of 100.
This would be particularly useful in describing abiogenesis. One hypothesis of abiogenesis is :
- Prebiotic atmosphere with ammonia, carbon dioxide and water vapor.
- Lightning produces simple organic compounds that fall into solution in shallow water.
- The compounds react further in a prebiotic broth, forming amino acids.
- The amino acids link up with peptide bonds to form polypeptide chain proteins.
- The proteins combine into more complex molecules that can replicate and metabolize simple substances.
- Complex molecules and organic compounds form lipid membranes around themselves and start acting like living cells.
Traditionally, at step six is when we think “life”, but for biopresentation, we might starting thinking “lifelike” at step five. Maybe even four. Instead of life being a fixed point, it’s a gradual process. We don’t point to a thing and say “this is alive” because that gets us back to the arguments of what life is or isn’t. We simply describe its biopresentation.
This would be useful for biology today, too. Consider the endless arguments about whether or not viruses are live . It’s often argued that viruses aren’t alive because they can’t metabolize outside of their host. That reduces metabolism to the primary (or sole) attribute of life. But metabolism is the global term for anabolism and catabolism . Catobolism is just breaking complex stuff into simpler stuff while anabolism is using that simpler stuff to do more complex stuff. Fire catabolizes, but doesn’t anabolize. Viruses do both. So maybe they’re alive? But some still reject that because, again, they can’t do that without a suitable host.
But what’s a host? Obligate parasites such as the protozoan Plasmodium can’t survive outside of their hosts. Or consider humans. If I drop you into the middle of interstellar space without a space suit, you’ll stop metabolizing, too. So the context in which we can biopresent is also a spectrum. Viruses are starting to look more alive.
But wait! There’s more!
Most living beings have some ability to communicate with one another. Maybe all do. As it turns out, we’ve know for a few years that viruses can do this, too . The human communication score might be at a “ten,” while viral communication might be a “one,” but fire’s communication is “zero.” The weight of this factor is probably pretty high, so fire’s biopresentation would be pretty low, but viruses could be easily crossing the threshold.
Pragmatist that I am, I want to skip the philosophical debates about whether or not something is alive and go with the pragmatic discussion of how closely something resembles life. However, we can’t ignore the philosophical implications.
Objections to Biopresentation
At this point, I can see many biologists howling at the above. In a 2013 Wired article entitled It’s (Almost) Alive! Scientists Create a Near-Living Crystal , the lede reads:
Three billion years after inanimate chemistry first became animate life, a newly synthesized laboratory compound is behaving in uncannily lifelike ways. The particles aren’t truly alive — but they’re not far off, either.
The crystals created had metabolism and mobility, but couldn’t reproduce. You can read the original study at The Royal Society website .
For these crystals, one could argue that a), they’re not alive, or b), what their relative biopresentation level is. Some people would be uncomfortable describing crystals as alive, but if we’re to search for life elsewhere in the universe, are we going to argue that life which doesn’t share the same biochemical basis as our own isn’t alive?
Or consider self-replicating Von Neumann machines . By the biopresentation argument, they would likely score very high, but are machines “alive”? Or apply biopresentation to The Gaia Hypothesis . Is our planet alive? That’s definitely a philosophical question, but in light of biopresentation, depending on what factors to include, we could make a strong argument that it is.
Why is rethinking life important?
If we go with a binary “yes/no” for life, it means that we have defined a limited, possibly incorrect, set of properties necessary to define life. Something not meeting those conditions might be disregarded. If, however, biopresentation is adopted, we can start defining “lifelike” properties and perhaps not be so quick to dismiss something that is otherwise alive.
Is Biology the Continuum’s End?
If biology stems from chemistry stems from physics, is that the entire continuum? I don’t think it is. I think it’s pretty hard to describe viruses as being very sentient (the ability to feel and perceive things), but fish are. By the same token, it might be hard to describe fish as being particularly sapient (the ability to learn, self-reflect, and so on), though again, both sentience and sapience are probably continuums, as are most things complex.
So clearly biology can lead to sentience and sapience, but do they require biology? Possibly not. Consider the recent case of Blake Lemoine who contended that some of Google’s software had become self-aware . While I tend to agree with Google that Lemoine was wrong, I am not so sure how long I can hold that position in the face of greater AI advancements. Since this is just electrons flying around silicon, can we argue that sapience doesn’t require biology? If so, the continuum could be across a tree or graph instead of a line. Or since humans built this, does that make the argument moot? I don’t think this is possible to answer, but it raises other interesting questions.
If we have a complicated chemical reaction that biopresents as zero (“pure chemistry”), could sentience or sapience emerge from that? Could sapience emerge from pure physics? This gets into the metaphysical realm and we cannot answer that. It starts teasing out hints of a god or gods. While I am an atheist, many of my friends are not and these question approach the realm of the ineffable, a term frequently applied to God. I worry that I sound like the atheist equivalent of Reverend Teilhard de Chardin , a Catholic priest who tried to unify science and religion.


Jul 8, 2014 1:21 AM
The transformation to digital media for learning changes the education experience - from the way learning materials are prepared and disseminated, to understanding how students learn, where students learn, and the ability to glean analytics and deeper insights about student performance. IBM Research has launched a number of new initiatives around educational transformation - deploying personalized learning pathways, cognitive computing (the Watson computer) to enhance learning, and developing analytics to enhance career pathways. We are eager to envision and shape the classroom or learning spaces of the future. In this seminar, we will outline some of the activities underway at IBM Research. We will then have an open discussion, about visions for the classroom of the future and possible collaborations between IBM Research and Teachers College. SARA BASSON Sara Basson works at IBM Research on the Education Transformation initiative, Her particular focus is developing technologies and solutions to improve career pathways. In previous roles, she has driven strategy and business opportunities for speech transcription technology and for accessibility solutions. Sara has more than 50 articles published on topics in speech technology and accessibility in technical journals, as well as a number of pending and issued patents. She was granted the title of Master Inventor in IBM Research in 2011. Sara holds an MBA in Management/Marketing from Stern School of Business, New York University, and a Ph.D. in Speech, Hearing, and Language Sciences from The Graduate Center of the City University of New York. She also holds an Honorary Doctorate degree from Saint Mary's University in Halifax, Nova Scotia, in recognition of her extensive activities using speech technologies to enhance accessibility in the educational arena. SATYA NITTA Dr. Satya V. Nitta is currently the manager of the Emerging Technologies research group at IBM's T J Watson Research Center where he is focusing on applications of cognitive computing. In his previous role as manager and technical leader of the Advanced Interconnect Technology area, he led large teams of scientists and engineers that invented and defined several generations of IBM's chip technologies ranging from the 65nm node to the 7nm node. Dr. Nitta received a PhD from Rensselaer Polytechnic Institute in Chemical Engineering in 1998. He was named as the IEEE ACE “Innovator of the Year” in 2008 and also won an IEEE Ace Award for “Technology of the Year” in 2008 as well as an IEEE Spectrum award for Technology Winner of the Year in 2008. He has authored or co-authored over thirty publications, one book chapter, and currently holds over 70 US patents with over 40 patent applications pending at the USPTO. Open to all members of the university community. If you are coming from outside the Edlab, please RSVP by August 4th by sending a message to Edlab at http://ednode.com/profiles/edlabtc/about (You must have/create an Ednode account and click on ). EdLab Seminars take place on the 5th floor of Russell Hall at Teachers College Columbia University (525 W. 120th Street, NY, NY). For detailed directions within the College visit TC Route Finder: http://maps.tc-library.org


A simple node script for running Command Line Argument based tasks from periodic controllers and extensions
- Copyright:
- Copyright (c) 2014 Typesettin. All rights reserved.
- License:
- MIT
- Source:
Requires
- module:./config
- module:path
- module:../../content/config/database
- module:../../content/config/logger
Members
-
appconfig
-
creates instance of configuration object
- Source:
-
db
-
environment based database configuration
- Source:
-
logger
-
winston logger instance based on configuration settings in content/config/logger.js
- Source:
-
mongoose
-
instance of mongoose connection based on configuration settings in content/config/database.js
- Source:
-
periodicResources
-
application reference passed to controllers
- Source:
-
<inner> models
-
load mongoose models
- Source:


Police confront ZANU PF Youth leader carrying AK 47 rifles
by Staff ReporterZANU PF Deputy Secretary for Youth Affairs Lewis Matutu has denied reports that he assaulted a police officer at a concert in Zvishavane over the weekend.
Matutu was reportedly arrested for seeking to enter a concert without paying and assaulted the police officers who tried to restrain him.
Speaking at ZiFM studios yesterday Matutut said he was attacked by police officers carrying AK47s when he questioned their source of income.

Watch the video below:
Source: Byo24


HEAD ======= >>>>>>> 59a30aa762b75d6e5a8adbdcaeb881337bdd52f4
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Team Tracker - Press the button as they pass the start
Last Recorded Team: None
Team Numbers
30
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Winnetka crash leaves 2 teenage brothers dead, driver arrested
WINNETKA, LOS ANGELES (KABC) -- Two teenage brothers were killed and a driver was arrested on murder charges after a car crashed into two parked vehicles in Winnetka early Sunday morning, police said.
Los Angeles police say a 20-year-old was driving westbound in the 20600 block of Parthenia Street at about 12:55 a.m. when he lost control and slammed into two parked vehicles.
The passengers in the vehicle, 16-year-old and 19-year-old brothers, both died.
Surveillance video shows the collision from two different angles.
Investigators say speed contributed to the crash.
The driver sustained minor injuries and was released from a hospital, police said. He was later arrested on suspicion of DUI and booked on murder charges.
The parked vehicles were unoccupied when the crash happened.


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Makes 3-4 jars
Dietary
Pot up this perfect piccalilli for presents or just save it for deli lunches of cold meats and cheeses. Delish.
Put the malt vinegar, coriander seeds and a pinch of salt in a large preserving pan and bring to a boil. Add the cauliflower and onion and simmer for five minutes, or until slightly softened but still crunchy.
Meanwhile, put the mustard, flour, turmeric and ginger in a small bowl and gradually whisk in the cider vinegar until smooth. Set aside.
Add the green beans, garlic and sugar to the pan and stir over the heat for 2–3 minutes, or until the sugar has dissolved. Drain over a large bowl to collect the vinegar.
Put the mustard mixture and the vinegar back into the pan and bring to the boil. Reduce the heat and simmer for 10 minutes, or until thick enough to coat the back of the spoon, adding more salt to taste.
Return the drained vegetables to the pan and add more sugar and water if necessary and then take off the heat.
Spoon into hot sterilised jars, seal and cool.
Store for three months in a cool, dark place before eating.


iFYT is a results-oriented wellness company which uses a streamlined method for cost savings and improved employee health
With over a decade of personal training experience with individuals and small groups, iFYT has built a successful model for fat loss, lean muscle gain, and proper nutrition to help enhance the well-being of willing corporate employees.
iFYT has a 100% success rate with previous clients who adhered to the instruction, training, and guidance of our wellness coaches.
Feel free to email us contact us anytime about more information on the services we can provide for your company.
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See DevTools APIs summary for general introduction to using Developer Tools APIs.
Each audit category is represented by a line on Select audits to run screen in the Audits panel. The following example adds a category named Readability:
var category = chrome.experimental.devtools.audits.addCategory("Readability", 2);
If the category's checkbox is checked, the onAuditStarted
event of
that category will be fired when user clicks the Run button.
The event handler in your extension receives AuditResults
as an argument and should add one or more results using addResult()
method. This may be done asynchronously, i.e. after the handler returns. The
run of the category is considered to be complete once the extension adds the
number of results declared when adding the category with
addCategory()
or
calls AuditResult's done()
method.
The results may include additional details visualized as an expandable
tree by the Audits panel. You may build the details tree using the
createResult()
and addChild()
methods. The child node
may include specially formatted fragments created by the
auditResults.createSnippet()
and auditResults.createURL()
methods.
The following example adds a handler for onAuditStarted event that creates two audit results and populates one of them with the additional details:
category.onAuditStarted.addListener(function(results) { var details = results.createResult("Details..."); var styles = details.addChild("2 styles with small font"); var elements = details.addChild("3 elements with small font"); results.addResult("Font Size (5)", "5 elements use font size below 10pt", results.Severity.Severe, details); results.addResult("Contrast", "Text should stand out from background", results.Severity.Info); });
The audit result tree produced by the snippet above will look like this:
You can find more examples that use this API in Samples.


List of publications
All my publications are available for free either at arXiv or through Open access. You can also see my publications on my Orcid, gScholar and Scopus accounts.
Preprints
- F. Isaule, I. Morera, A. Polls and B. Juliá-Díaz, Functional renormalization for repulsive Bose-Bose mixtures at zero temperature, arXiv:2011.00487 (2020).
Publications
- F. Isaule, M. C. Birse and N. R. Walet, Thermodynamics of Bose gases from functional renormalization with a hydrodynamic low-energy effective action, Annals of Physics 412, 168006 (2020). doi: 10.1016/j.aop.2019.168006. arXiv:1902.07135.
- F. Isaule, M. C. Birse and N. R. Walet, Application of the functional renormalization group to Bose gases: From linear to hydrodynamic fluctuations, Physical Review B 98, 144502 (2018). doi: 10.1103/PhysRevB.98.144502. arXiv:1806.10373.
- F. Isaule, H. F. Arellano and A. Rios, Di-neutrons in neutron matter within a Brueckner-Hartree-Fock approach, Physical Review C 94, 034004 (2016). doi: 10.1103/PhysRevC.94.034004. arXiv:1602.05234.
- H. F. Arellano, F. Isaule and A. Rios, Di-nucleon structures in homogeneous nuclear matter based on two- and three-nucleon interactions, The European Physical Journal A 52, 299 (2016). doi: 10.1140/epja/i2016-16299-2. arXiv:1606.04982.
- F. Isaule and H. F. Arellano, Structure and cooling of neutron stars: nuclear pairing and superfluid effects, Journal of Physics: Conference Series 720, 012021 (2016). doi: 10.1088/1742-6596/720/1/012021.


Movie files *_mov.TAG
¶
Note
These files are written only when l_movie = .true. or when a finite number of movie frames are asked for using the input parameters described in the standard inputs section of the output control namelist.
These are unformatted fortran files containing time evolution of fields on different surfaces - constant radius, colatitude or azimuth or on the full 3D grid. The fields can be of various types like radial magnetic field or velocity, entropy, helicity etc. The type of field and the type of surface can be specified using a string that begins with the field name, followed by the surface type (or ‘full 3D’, when a 3D movie is desired). One such example is as follows:
l_movie = .true., n_movie_frames = 1000, movie(1) = "B r r=0.5", movie(2) = "V all 3D", movie(3) = "Hel Eq"
The code does not interpret any whitespaces and is not case-sensitive so
there’s no difference between, say, B r cmb
and brcmb
. For further
details and a list of keywords for different fields and surfaces, please refer
to the movie in the output control namelist.
These files are written by the subroutine write_movie_frame
.
The movie files are suitably named to reflect the type of field and surface. Their names begin with the keyword for the type of movie asked for, followed by the type of surface, followed by the word ‘mov’. Thus, a generic movie name looks like:
Keyword_SurType_mov.TAG
E.g: if one asks for the radial component of magnetic field on surface of CMB, the movie would be named as Br_CMB_mov.TAG
.
When asks multiple movies for same surface types but different surface levels, the surfaces are numbered with integers. Thus, for the following namelist input,
l_movie = .true., n_movie_frames = 1000, movie(1) = "B r r=0.5", movie(2) = "V p r=0.5", movie(3) = "V r r=0.8",
one would get the following movie files as output:
Br_R=C1_mov.TAG Vp_R=C1_mov.TAG Vr_R=C2_mov.TAG
The structure of a generic movie file is as follows:
!------- ! Line 1 !------- version !Movie version: 'JW_Movie_Version_2' !------- ! Line 2 !------- n_type, n_surface, !Type of movie, const, n_fields !Type of surface (r,theta,phi,CMB,Eq etc.) !------- ! Line 3 !------- n_movie_field_type(1:n_fields, n_movie) !Type of fields (velocity, !mag field, vorticity etc.) !------- ! Line 4 !------- runid !------- ! Line 5 !------- n_r_mov_tot, n_r_max, !Total number of n_theta_max, n_phi_max, !radial grid points (including IC), minc, ra, ek, pr, prmag, !grid data, physical parameters radratio, tScale !------- ! Line 6 !------- r_mov_tot(1:n_r_mov_tot)/r_cmb !All radii in terms of r_CMB !------- ! Line 7 !------- theta(1:n_theta_max) !All theta points !------- ! Line 8 !------- phi(1:n_phi_max) !All phi points !------------------------------------------------------------------- !--------- ! Frame N !--------- !----------- ! Line 8 + N !----------- n_frame, t_movie(N), omega_ic, omega_ma, dipLat, dipLon, dipStr, dipStrGeo !--------------- ! Line 8 + (N+1) !--------------- frame_data(1:n_fields,n_start:n_stop) !Desired field data on a !surface or 3D volume !n_start = start index of a field !n_stop = last index of a field !----------- ! Frame N+1 !----------- !--------------- ! Line 8 + (N+2) !--------------- n_frame, t_movie(N+1), omega_ic, omega_ma, dipLat, dipLon, dipStr, dipStrGeo !--------------- ! Line 8 + (N+3) !--------------- frame_data(1:n_fields,n_start:n_stop) !Desired field data on a !surface or 3D volume !n_start = start index of a field !n_stop = last index of a field ... !----------- ! Frame N+M !M is the desired number of movie frames !----------- !--------------- ! Line 8 + (N+M) !--------------- n_frame, t_movie(N+M), omega_ic, omega_ma, dipLat, dipLon, dipStr, dipStrGeo !--------------- ! Line 8 + (N+M) !--------------- frame_data(1:n_fields,n_start:n_stop) !Desired field data on a !surface or 3D volume !n_start = start index of a field !n_stop = last index of a field
The 2D movie files can be read and displayed using the python class Movie
as follows:
>>> Movie() #Lists out available movie files to choose from
>>> M = Movie(file = 'Vr_R=C1_mov.TAG')
The 3D movie files can be read using the python class Movie3D
:
>>> M = Movie3D(file = 'V_3D_mov.TAG')


Grenze is a large text family which features nine weights with matching italics. It draws inspiration from Roman and Blackletter typefaces. It was originally designed to be used in magazines.
To contribute, see github.com/Omnibus-Type/Grenze.


Honzi
/
Bookmarks
/
Music
/The Beach Boys
All Summer Long:
I Get Around
Christmas Album:
Little Saint Nick
Shut Down Volume 2:
Don't Worry Baby
Fun, Fun, Fun
Smiley Smile:
Fall Breaks And Back To Winter
Good Vibrations
Heroes and Villains
Vegetables
With Me Tonight
Summer Days (and Summer Nights):
California Girls
Help Me, Rhonda
Then I Kissed Her
Surfer Girl:
In My Room
Little Deuce Coupe
Surfer Girl
Today!:
Dance, Dance, Dance
Do You Wanna Dance?
When I Grow Up (To Be A Man)
Wild Honey:
Darlin'
Wild Honey


This loops infinitely so long as the node is processing.
This loops infinitely so long as the node is queued for processing. Once it starts, state shifts to active and it starts the active animation.
This plays once, when the node finishes. It makes the node flash green and fade to white, then it stays white.
This plays a few times, like a little siren to signal something went wrong. It finishes and stays in a red state.


NOTTING HILL A film review by Steve Rhodes Copyright 1999 Steve Rhodes RATING (0 TO ****): *** 1/2
In an inspired bit of casting, Julia Roberts plays Julia Roberts in a princess and commoner story titled NOTTING HILL. Actually she uses the name of Anna Scott, but we all know it's Roberts playing Roberts.
As Anna Scott, Roberts plays an extremely attractive star who spends her life dodging photographers and making $15,000,000 a picture. Now, that's a real stretch for her. What's amazing is how likable and vulnerable she makes this poor little rich girl.
As exquisitely directed by Roger Michell and smartly scripted by Richard Curtis, the movie easily transcends its highly contrived setup. This is a comedic romance that makes you fall in love with love. And it's a romantic comedy that produces huge laughs through dialog that relies on wry wit rather than crude humor -- the polar opposite of THERE'S SOMETHING ABOUT MARY.
Starring opposite Roberts is Hugh Grant as William Thacker, the unassuming owner of a travel bookstore in a working class area of London known as Notting Hill. Grant is called upon to play an awkward guy who's shocked at his good fortune in having a movie star take an interest in him.
For Grant, acting's master of awkwardness, playing Thacker would seem as natural as it is for Roberts to play Scott. Indeed it is, but both actors rise above roles in which autopilot performances might have sufficed. Their chemistry is a joy to behold, and their acting has wonderful subtlety and grace.
As the movie opens, Thacker commutes his 1,000 yards to the office.
This day fortune strikes and the famous Anna Scott comes into his store.  [I once had a similar experience in a small doctor's office in London in the 1970s, when Diana Rigg, the then enormously popular star of "The Avengers," sat four feet away from me. I know how Thacker must have felt.]
Luckily for him, he later rounds a street corner and clumsily spills orange juice all over her blouse. This causes her to go to his flat to change. When she leaves for what he assumes will be forever, he doesn't know quite what to say. "It was nice to meet you," he tells her in a daze. "Surreal, but nice."
This may already sound like every man's fantasy, and, if you're going to dream, dream big. When she comes over and plants a big kiss on him, I thought it might be a daydream sequence, but it wasn't.
"Probably best not to tell anyone about this," she admonishes him when leaving. "Right, no one," he responds with sad seriousness. "I mean, I'll tell myself sometime, but I won't believe it."
His irritating flatmate Spike is played in an over-the-top performance by Rhys Ifans. Spike, with his prominent gold tooth, uncombed hair, scruffy beard and perpetually dirty feet, supplies much of the movie's more outlandish humor. A little of Spike can go a long way, which the editor seems, thankfully, to have realized.
As you can guess, the acting princess does call the bookshop pauper back. This introduces the problem of where to take her for their first date. Perhaps something simple like tea at the Ritz?
In a case of mistaken identity, he is assumed to be at her hotel to see her as part of her movie's press junket. Soon he takes on the identity of a reporter from "Horse and Hound" magazine. After he speaks to her, he's forced to ask questions of all of the other stars. [Here in New York on a press junket myself for TARZAN, this scene hit home as well. I wonder if I could have used some of his questions?] At any rate, their meeting is less than perfect as Scott, dressed in a business suit and tie, apologizes for "that kissing thing."
>From this point their romance goes on and off. The players take the movie to a level that should not be possible given the triteness of the basic setup. Every scene, including the dinner with his family, comes across with incredible honesty and warmth. One suspects that if your brother brought Julia Roberts home to dinner it could well end up just as it does in the movie.
Still, it is hard having a relationship with someone who has ten-foot high pictures of her face painted on every bus in town, as they promote her latest film. Falling in love with someone this famous, Thacker says is like opening Pandora's Box. Think about it. If you've had a relationship with Julia Roberts, don't you think you'd have a bit of trouble trying to find someone else afterwards?
After scenes that are alternately sweet, funny, humorous, romantic and poignant, the story finally comes to a close. As you realize it's time for the characters to leave, you begin to miss them. The only question is how will the writer end the story. Coming up with the movie's most energetic moments, he ends it with an exhilarating sequence that dazzles your mind and heart.
 This happened to me the second I opened the door to exit the theater. A reporter wanted my opinion of the film.
Pointing out how similar this real life experience was to the scene in the movie, I asked where Julia Roberts was. He said she was in the lobby waiting for me. Life in this case, I am sad to report, did not imitate art.
NOTTING HILL runs 2:03 but feels much shorter. It is rated PG-13 for some sexual situations and a little profanity and would be fine for kids around 11 and up.
My son Jeffrey, aged 10, who saw the film back in California, said he really enjoyed it and gave it ***. He said he laughed a lot. His only complaints were that he didn't understand some of the humor, and he didn't like some of the bad language.
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Chrome Dev Tools
WAR Against TERROR
Good Old [IE] Days
~ < 2005
Feeling Nostalgic ?
An error from Heaven
GOCHCHA, didn't I ?
Then there was Firefox
&
There was Chrome with ❤
The Chrome Developer Tools
Goodies of Chrome Dev tools
- DOM Manipulation
- Live CSS Edit to Local file
- JavaScript Debugging
- CPU/Memory Profiling
- Device Emulation
- Ajax Debugging
- Storage Resource Edit
- Canvas Debugging
- And Many more..., I mean MO O O RE
DOM Manipulation : Edit / Position
DOM Manipulation : CSS Box Model
Device Emulation
Device Orientation : Accelerometer
Profiling : CPU Usage
Timeline Graph : Events
Timeline Graph : Memory
Console APIs (table/group)
Console APIs (dir)
Console APIs (seletors)
Console APIs (last element selected)
Thanks for your Patience :)
Md. Mahbubur Rahman
CTO, iViveLabs
twitter.com/pappu687
For Chrome Dev Tools related resource Follow :


The following businesses have donated merchandise and/or certificates to the Crescent Ski Council. Their merchandise and certificates will be used as prizes to the top three finishers in each flight of the CSC Race Series. Please support these establishments and product lines at every possible opportunity.


Handler¶
Handler, as the name suggest, handles the events that triggers by watcher
.
Basically in Handler you can decide what to do when an event happens, like
a file is added to a directory.
- There are 2 basic part in the Handler:
- catch the event
- there are 4 event type: modified, created, deleted, moved
- do something with the event
Create a Handler¶
You need inherit from one the Watchdog Event Handler Classes
from watchdog.events import FileSystemEventHandler
Now you need to create the handler class.
Important
owl
expects the class to called Handler
class Handler(FileSystemEventHandler):
- Then decide which event to catch:
- on_any_event: Catch-all event handler
- on_created: Called when a file or directory is created
- on_modified: Called when a file or directory is created
- on_moved: Called when a file or directory is modified.
- on_deleted: Called when a file or a directory is moved or renamed.
In this example, we’re going to catch if the create
and delete
events
def on_created(self, event):
self.process_created_event(event)
def on_deleted(self, event):
self.process_delete_event(event)
Now this the fun part where you decide what to do with that event. Each event has 3 attributes which you can use to determine whether or not the you need to take action on this event:
- event_type: The type of the event as a string.
- is_directory: True if event was emitted for a directory; False otherwise.
- src_path: Source path of the file system object that triggered this event.
def process_created_event(self, event):
created_path = event.src_path
print "New file is created: {}".format(created_path)
def process_delete_event(self, event):
deleted_path = event.src_path
print "file is deleted: {}".format(deleted_path)
That’s the basic of how you can create a handler
. There is a lot you can
do once you start digging into the Watchdog.
It’s fairly simple and powerful.
Here is the entire code:
from watchdog.events import FileSystemEventHandler
class Handler(FileSystemEventHandler):
def on_created(self, event):
self.process_created_event(event)
def on_deleted(self, event):
self.process_delete_event(event)
def process_created_event(self, event):
created_path = event.src_path
print "New file is created: {}".format(created_path)
def process_delete_event(self, event):
deleted_path = event.src_path
print "file is deleted: {}".format(deleted_path)


FIDO RP Demo
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Shop on Etsy
Every piece is unique tying in new and old
Every pine jewelry piece is created with great attention to detail using a combination of both new items, antiques, and recycled materials. This means every piece is unique.
Hand crafted jewelry made with love in Flagstaff, Arizona
Every pine jewelry piece is created with great attention to detail using a combination of both new items, antiques, and recycled materials. This means every piece is unique.


Security Advisory 2019-06-13 – Reduced initial randomness on FIPS keys Tracking ID: YSA-2019-02 Summary Who should read this advisory? Customers, IT Managers, or FIPS Crypto Officers who use or manage YubiKey FIPS Series devices. An issue exists in YubiKey FIPS Series devic...


JavaScript vs Ruby
JavaScript and Ruby are both object oriented programming languages, so they have a lot of similarities. There are place though, where they are quite different. One such concept is the ‘for’ loop.
In JavaScript, a for loop will be written like this:
for (i=0; i < n; i++) {
// code here
}
Whereas in Ruby, a for loop will be something like:
for i in 0...n
# code here
The functionality of ‘for’ loop in both languages is the same.


The more you refine what you do, the more you dig yourself into a hole. It is better to offer many different things to many people than to offer a single thing to a small amount of people.
`
This is completely wrong Bitcoin is an example .. Whatsapp is an example


ankbar.
Welcome to bankbar, Monzo on your desktop.
Please read through the documentation
here
before continuing.
Submit


STwitter
STwitter is a High Level Twitter Frameworks for Swift.
Features
- BSD License
- High-Level Twitter API
========
Usage
Using Swift Package Manager
If you want to use as xcodeproj, using swift package generate-xcodeproj
command
Requirements
- Swift 3.0.1
- Currently only works on Apple Platform, will be work on Linux too.
License
Read LICENSE for more information.
Note
Twitter API is not implemented all yet. and API Documents aren’t available yet.


| 034:054 Khan | : |
And a barrier will be set between them and that which they desire [i.e. At-Taubah (turning to Allah in repentance) and the accepting of Faith etc.], as was done in the past with the people of their kind. Verily, they have been in grave doubt. |
| 034:054 Maulana | : |
And a barrier is placed between them and that which they desire, as was done with their partisans before. Surely they are in a disquieting doubt. |
| 034:054 Pickthal | : |
And a gulf is set between them and that which they desire, as was done for people of their kind of old. Lo! they were in hopeless doubt. |
| 034:054 Rashad | : |
Consequently, they were deprived of everything they longed for. This is the same fate as their counterparts in the previous generations. They harbored too many doubts. |
| 034:054 Sarwar | : |
A gulf will exist between them and their desires on the Day of Judgment like the similar people who lived before. They, too, had lived in doubt and uncertainty (about the life hereafter). |
| 034:054 Shakir | : |
And a barrier shall be placed between them and that which they desire, as was done with the likes of them before: surely they are in a disquieting doubt. |
| 034:054 Sherali | : |
And a barrier will be placed between them and that which they long for, as was done with the like of them before. They too were in disquieting doubt. |
| 034:054 Yusufali | : |
And between them and their desires, is placed a barrier, as was done in the past with their partisans: for they were indeed in suspicious (disquieting) doubt. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > الوعد والوعيد Pillars of Islam> Islamic> Oneness of Allah> Promise and Threat أركان الإسلام > التوحيد > الكافرون > امتناعهم عن الإيمان لا يجديهم نفعا Pillars of Islam> Islamic> The Disbelievers> Their Refrain from the Belief is Useless الإيمان > الإيمان بالله > الريب والشك Faith> Belief In Allah> The Doubt and Suspicion الإيمان > اليوم الآخر > الإرهاصات التي تسبقه Faith> The Hereafter> The Signs which Precede it
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Raise
Raise
Offer confirmation
Do you confirm your offer?
Gross return rate
{{offer.grossReturn | percent}}
Fundsraising
{{offer.raisingAmount | currency:'USD':false:'.0-2'}}
Terms months
{{offer.paybackMonths}}
Assets Available
Single asset price: {{offer.assets[0].value | currency:'USD':false:'.0-2'}}
Asset {{assetIndex + 1}}: {{asset.collateral}} SWAPY collateral
Description of the company will be included here in order to specify it's focus and market, as well as any relevant information
City, country
www.website.com
{{walletAddress}}


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--- title: candidate-exercises-public keywords: fastai sidebar: home_sidebar summary: "This is the answer to the tech assessments for imply. Here you can find the coding exercise explained and the Case Study." ---
git clone https://github.com/theccalderon/imply.git
cd imply
pip install -r requirements.txt
python candidate_exercises_public.py path/to/json/file path/to/avro/file path/to/csv/file path/to/final/csv/file
The goal is to combine the files, eliminating any duplicates and write to a single .CSV file sorted alphabetically by the city name.
I decided to use pandas
since is my go to when dealig with tabular data in python. Dataframes allow us to easily remove duplicates, aggregate data and create new files
import pandas as pd
import pandavro as pdx
from pathlib import Path
def combine_files(json_filepath, arvo_filepath, csv_filepath, output_filepath):
"""Combines the three files, eliminates duplicates and it sorts the resulting dataset by City Name. Creates
a csv file in output_filepath and returns a dataframe with its content
"""
#reading all the three files
df = pd.read_json(json_filepath)
df = df.append(pd.read_csv(csv_filepath))
df = df.append(pdx.read_avro(arvo_filepath))
#dropping duplicates
df = df.drop_duplicates()
#sorting by Name
df = df.sort_values(by='Name')
#writing to csv
df.to_csv(output_filepath,columns=['Name','CountryCode','Population'], index=False)
return pd.read_csv(output_filepath)
final_csv = combine_files('CityListA.json', 'CityListB.avro', 'CityList.csv', 'finalDataset.csv')
!ls
finalDataset.csv
is the resulting csv file
final_csv.head()
To find the count of rows we can just check read the final csv file (created by combine_files
) and check its length
len(final_csv)
To find the city with the largest population we can sort by Population descendingly and grab the first row
def city_with_largets_population_from_df(df):
return df.sort_values(by='Population',ascending=False)[:1][['Name']].iloc[0]['Name']
print(city_with_largets_population_from_df(final_csv))
Well that's not a suprise isn't it?
To find the total population of all cities in Brazil we select the rows where CountryCode == BRA and then sum the population values.
def total_population_per_country_from_df(df, country_code):
return df.loc[df['CountryCode']==country_code]['Population'].sum()
print(total_population_per_country_from_df(final_csv,'BRA'))
The data is currently being read sequentially (one file at the time). To improve performance, we could read the data in parallel since it's coming form different sources. By doing this we would maximize the use of our resources and speed things up.
To scale the solution when the data cannot be stored just in a single machine we can use big data technologies (like Hadoop) which allow clustering multiple computers to analyze massive datasets in parallel more quickly. Hadoop makes it easier to use all the storage and processing capacity in cluster servers, and to execute distributed processes against huge amounts of data.
Dataset structure:
{
"timestamp": "2016-08-04T18:05:07.054Z",
"session": "S74650219",
"remote_address": "<IP_ADDRESS>",
"path": "http://www.koalastothemax.com/img/koalas3.jpg",
"referrer": "Direct",
"timezone_offset": "-120",
"language": "it-IT",
"city": "Borgo San Lorenzo",
"region": "Province of Florence",
"country": "Italy",
"continent": "Europe",
"latitude": 43.9555,
"longitude": 11.3856,
"browser": "Mozilla",
"browser_version": "rv:11.0",
"agent_type": "Browser",
"agent_category": "Personal computer",
"os": "Windows",
"platform": "Windows"
}
The site gets 200 million hits per day which means approx:
They need to answer questions mainly about unique sessions.
The on prem hardware specs is:
- 2x 8-core HT processors (16 cores total, 32 hardware threads) 64GB memory 600GB SSD disk
For this question, I'm assuming the Koala already has a deep storage system (S3, HDFS, local....) set up to store the segments.
Since the traffic is very high we are going to use a cluster deployment. One of the main advantage of using clustering is the ability to scale horizontally on demand. That allows us to start small and then increase our hardware if needed.
For a Production setup, here is my recommendation (we need a highly available and fault tolerant setup, see https://docs.imply.io/on-prem/deploy/cluster#production-setup):
We can start with that and monitor (using Clarity) in case we need to scale out any resources. My main concern when analyzing this question was the data servers, but since those can be added on the fly, we can start with 4 and increase if needed.
| Koala's server | AWS r4.2xlarge | |
|---|---|---|
| Cores total | 16 | 18 |
| Threads | 32 | 36 |
| RAM | 64 | 61 |
| Disk | 600 GB SSD | Configurable |
As per (https://docs.imply.io/on-prem/deploy/cluster#configuration-tuning)
If you are using r4.2xlarge EC2 instances or similar hardware, the configuration in the distribution is a reasonable starting point.
Based on the table above, we can see the hardware it's actually similar.
We can use the example jvm.config
for our servers since the amount of RAM in the examples (https://docs.imply.io/on-prem/deploy/cluster) is equal to Koala's RAM per server. (see jvm.config
files in imply-3.1.6/dist/druid/conf/druid/cluster/
)
I'm going to list some of the values below, for more information see the runtime.properties
files in imply-3.1.6/dist/druid/conf/druid/cluster
:
data/middleManager/runtime.properties:druid.server.http.numThreads=60\ data/historical/runtime.properties:druid.server.http.numThreads=60\ query/broker/runtime.properties:druid.server.http.numThreads=60\ query/router/runtime.properties:druid.server.http.numThreads=100
data/historical/runtime.properties:druid.cache.sizeInBytes=256000000\ data/middleManager/runtime.properties:druid.indexer.fork.property.druid.processing.buffer.sizeBytes=100000000\ data/historical/runtime.properties:druid.processing.buffer.sizeBytes=500000000\ query/broker/runtime.properties:druid.processing.buffer.sizeBytes=500000000
. . . .
We can use Pivot
or SQL
to answer the questions above. Please see below how to answer the questions using SQL
:
SELECT COUNT(DISTINCT(session)) AS unique_sessions
FROM koala_sessions
WHERE "__time" BETWEEN TIMESTAMP 'YYYY-MM-01 00:00:00' AND TIMESTAMP 'YYYY-(MM+1)-01 00:00:00'
where koala_sessions is the datasource name and MM will be the month we want to get the information for.
SELECT COUNT(DISTINCT (session)) AS unique_sessions, country
FROM koala_sessions
WHERE "__time" BETWEEN TIMESTAMP 'YYYY-MM-DD 00:00:00' AND TIMESTAMP 'YYYY-MM-(DD+1) 00:00:00'
GROUP BY country
where koala_sessions is the datasource name and YYYY == year, MM == month, DD == day


Page 7!
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IoT Data Analysis
Choose dataset and use the following buttons to analyze data through plotly plots
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Daily Data
Device data for a day
Device data across days
Device Data Analysis
Hourly stats and trends
Compare devices field stats
Fields correlation analysis


{% extends "symposion/reviews/base.html" %} {% block review_heading %}Access Not Permitted{% endblock review_heading %} {% block content %}
Sorry, you do not have permission to access this page. If you believe this is a bug, please contact us immediately.
{% endblock %}


Event Location:
Neumont University
10701 South River Front Parkway
Salt Lake City, Utah
Abstract:
Do your users have the same old, mundane table reports they’ve been using for decades? Stop living in the past and make your reports pop. Learn to use design patterns, best practices and visuals that pack more usable information into fewer, more usable reports. Use Reporting Services and other Microsoft BI tools to create dynamic, browse-able reports that answer important business questions at a glance and then let them explore the details to gain business insight and take action. Sure, Business Intelligence is all the rage but you don’t have to invest in an entire BI platform to have fresh, usable reports. These design techniques apply to enterprise analytic solutions and smaller-scale operational reporting.
Speaker(s): Paul Turley,
Abstract:
Do you remember what it was like to fall in love? Wasn't it wonderful? Lately it just hasn't been the same. You've been stuck in the same old routine, doing the same old charts and tables. Maybe Reporting Services doesn’t tell you what’s wrong. Maybe you're even thinking about seeing other reporting products (!) In this session made for report developers, Doug will re-ignite your passion for RS by showing you how to design for better performance, explaining what RS has been trying to tell you through logs (but you haven't been listening), and demonstrating some new -- and easy -- tricks you may not have known RS can do. After this session, you'll want to spend some time alone with your new old flame.
 In this session I will introduce you to the Data Vault design pattern and demonstrate the major performance advantages of this architecture. Data Vault hub, link and satellite tables allow for vertical and horizontal partitioning of data. When properly implemented, your database tables will provide the most index coverage of any indexing system and provide the fastest possible disk scan access. I will provide a real world example of a parallel manufacturing execution system that we developed at Abound Solar which implements the Data Vault architecture.
Speaker(s): Jeff Renz,
Abstract:
If you were asked what average runtime was of your slowest stored procedure, could you provide the answer? What if you needed to provide that information for last month? Do you review your error logs each day? Do you know the growth percentages of your databases for the past year or even the past month? If your database has an unusual growth event will you know about it? In the utility database that we create during this session we will track stored procedure information along with information about the hard drives such as free space. We will look at how you can have the errors in your error logs emailed to you each day. The goal of this session is to help you automate and centralize as many of your day-to-day tasks as you can.
Speaker(s): Christopher Shaw,
Abstract:
Is your data secured? Are you a victim of SQL Injection? You'll discover some commonly overlooked practices in securing your SQL Server databases. Learn about physical security, passwords, privileges and roles, and preventative best practices. I'll demonstrate auditing and we will take a quick look at some .Net code samples to use on your applications. Get up to speed on the new security features in "Denali", the next version of SQL Server. Takeaway the 20/20 vision to identify SQL Injection and other database vulnerabilities and how to prevent them.
Speaker(s): Gabriel Villa,
Abstract:
Attribute discretization is an oft-overlooked feature in Analysis Services that allows us to automatically create a manageable number of groups of attribute values that are clearly separated by boundaries. Discretization can help us to make it easier for information consumers to work with large numbers of possible attribute member values. In this session, Microsoft BI Architect and SQL Server MVP Bill Pearson discusses the varied options, the design (and other) considerations involved, and best practices surrounding the use of this capability.
Speaker(s): William E Pearson III,
Abstract:
We will discuss some of the most important things that you as a Data Professional can document to make your job much easier, ensure information consistency between groups, and better prepare your organizations for raising the bar on your day to day business. Think of this as a sort of Database Library that allows you to finally detail the processes you follow currently to perform repetitive tasks. This Library will also allow you to simply document your systems for your and others knowledge. Some of the documents and processes we will review are:
Speaker(s): TJay Belt,
Abstract:
Expand the value of your Business Intelligence infrastructure by delivering powerful forecasts and predictions using SQL Server Reporting Services visual capabilities. Using proven predictive models that forecast future buying patterns, foster care placement success, or customer income and net worth, you will see how to create appealing charts, graphs and maps that allow business users to include predictive analytics in their decision making process. In this session, Carlos Bossy will show you how to combine the visual features of SQL Server Reporting Services with the power of Data Mining and Analysis Services to take your organization’s BI competency to the next level.
Speaker(s): Carlos Bossy,
Abstract:
Learn how easy it is to utilize the free download from Microsoft that allows users to create charts, dashboard objects and reports against any kind of data easily without having to use Visual Studio.
Speaker(s): David Eichner,
Abstract:
We often run a fine line between how much space we need, and how much space we have for our databases. Having too much drive space can be a waste of resources; however, running out of space is an obvious issue. Let’s find a way to straddle the line and determine just how much space we really need, give ourselves a bit more than that, and make it a regular process to baseline, then continue to monitor, make adjustments along the way if needed, and ultimately plan for just enough space to get us through the year on budget. We’ll talk about a stand-alone tool that I used to determine space use for baseline, continued monitoring of the space used, and ensuring we have enough but not too much space.
Speaker(s): TJay Belt,
Abstract:
Whether we inherit our Analysis Services environments from predecessors or create them - learning as we go - ourselves, we often conclude that performance (processing and / or querying) and functionality can be enhanced. In this session, Microsoft BI Architect and SQL Server MVP Bill Pearson overviews ways to launch new capabilities, and to propel performance beyond its current plateau, using design best practices to better meet consumer performance and functional needs. This is the initial session of a set of detailed Best Practices presentations.
Speaker(s): William E Pearson III,
Abstract:
This session provides an overview of the new tabular modeling features introduced in SQL Server CTP 3 code name "Denali". We will look at some of the key concepts in tabular model design including: relationships, calculated columns, measures, KPIs, and hierarchies.
Speaker(s): Jason Horner,
Abstract:
When your boss asks you who has access to your databases, do you break out into a cold sweat? Or, instead, are you worried about those other people who might have 'sa' access to your server and might be causing trouble on your server? Either way, as DBAs we need to be able to audit our SQL Server security. This presentation will give you a general overview of the different types of roles that you can use to manage access, what they mean, and how we look at the security gremlins hiding under the covers of our databases.
Speaker(s): Michael Fal,
Abstract:
This session will look at the basics of indexes in SQL Server, and will discuss strategies and techniques for managing indexes in large databases with high uptime requirements, including how to automate online and offline index maintenance operations, and how to collect and analyze index usage statistics to see which ones are helping your database's performance, and which ones are hurting it.
Speaker(s): Martin Miller,
Abstract:
Just getting started with SQL Server Integration Services (SSIS)? Not sure where to start? Or have you been using SSIS for a little while now and are still trying to figure out the basics. The biggest barrier to learning something new is figuring out the first few steps. We will discuss what SSIS is, some lessons learned and some new features that are around the corner with the release of Denali.
Speaker(s): Marc Beacom,
Abstract:
In this session, you will learn how to setup and implement Central Management Server (CMS) to run queries against multiple SQL servers in your environment. We will also cover Policy Based Management (PBM) and how to use out of the box best practices and create custom policies to maintain your environment. We will then look at using both CMS and PBM in conjunction with each other to monitor your environment.
Speaker(s): Mitchell Bottel,
Abstract:
Self-promotion is often times the best promotion you can get. In this session, we will talk about how to promote yourself, your brand and your career without looking like “That Guy”. We will discuss Social Medias, communities, volunteering and other ways to get your name out… What are the first steps? Come find out.
Speaker(s): Mitchell Bottel,
Abstract:
I hear all the time that someone should upgrade from MySQL to SQL Server. Is it really an upgrade or just the same animal with a different face, we will discuss the differences between the engines, tools, administration and indexes. If you’d like to really find out how similar these two animals are you won’t want to miss this.
Speaker(s): Pat Wright,
Abstract:
If you've ever found yourself stating the above, this session is for you. For many developers, writing T-SQL that works is not the challenge. But too often, functional T-SQL is not the same as good T-SQL. In this session, we will examine why "SQL that works" is not good enough. Understanding indexes, exectuion plans, sargability, and more are all critical to writing good T-SQL. We will also examine several real-world examples of T-SQL that "worked great in dev" but caused major issues when it hit production.
Speaker(s): Randy Knight,
Abstract:
Everyone wants to be in the on the PowerShell sweetness, right? This session will cover in depth the options that you have for using PowerShell with a set of modules that already exist in a very robust package. SQLPSX is the name and it is diverse but powerful. From Database backup, to database maintenance and index maintenance, SQLPSX is there for you. Join me for a power packed session and get up to speed really fast in SQL PowerShell.
Speaker(s): Ben Miller,
Abstract:
The XML Functionality embedded into SQL Server 2005 and 2008 is one of its most powerful yet least understood features. This seems to be primarily because DBA's shy away from it and developers prefer to work with XML in their code. In this session we will explore the XML features of SQL Server and how we can bridge these two worlds. Topics covered will include retrieving relational data as XML, storing XML in the database using the XML Datatype, XML indexes, and the XQuery functions included in SQL Server. We will also look at using XML as stored procedure parameters as a way to pass large amounts of complex data between client and server.
Speaker(s): Randy Knight,
Abstract:
Partitioning technology distributes data in a single table among several individual filegroups. When implemented carefully, this allows DBAs to instantaneously move large amounts of data from one table to another. After this session, attendees will understand how partitioning works, when it is beneficial, and how to implement a basic setup. We will also illustrate partitioning in a practical "sliding window" demonstration. This will be a broad, high-level introduction to the technology.
Speaker(s): Chad Crawford,
Abstract:
In this session we will explore some practical scripts to help create database documentation. We will be looking at how to make some of those documentation tasks easier, while giving you greater insight into your database(s). Attendees will be able to leave with some additional tools for their toolbox and through the use of these scripts the attendee will be able to perform these tasks faster.
Speaker(s): Jason Brimhall,
Abstract:
With the introduction of SQL CLR DBAs are being thrust into the world of .NET. This session wil look at the basics of .NET and relate them to equivalent concepts in T-SQL. This session will help you to decipher the code that you are being asked to review so you can decide if it meets your quality bar before you apply it to your database.
Speaker(s): Scott Golightly,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: https://www.linkedin.com/in/dbachad
Chad Crawford is an MCM and Principal Database Engineer with 19 years' experience in database architecture, development, and administration. He has worked in the manufacturing, health care, and consulting industries, primarily focusing on design, performance, and high-availability of customer facing SAAS systems. He loves teaching and sharing new ideas, and created a custom training course that helped dozens of coworkers prepare for certification exams. He speaks regularly for users groups and SQLSaturday, and leads the Utah County SQL Users Group. When he isn’t optimizing a query or analyzing performance tests, you will find him running, tweaking a ham radio, or looking for a new strategy board game.
Contact: http://chrisshaw.wordpress.com
Chris started his database career while in the Marine Corps working with Lotus Ami Pro databases somewhere in 1993. From there he went on to companies such as Wells Fargo, Pulte Mortgage and Yellow Pages Inc., and later consulted with insurance companies including Anthem Blue Shield. Chris has enjoyed writing and speaking about SQL Server over the last 10 years at events such as SQL Connections, Pass and SSWUG Ultimate conferences. Chris received the Microsoft MVP award.
LinkedIn: http://www.linkedin.com/in/icansoftware
David Eichner is a licensed CPA and is also CEO of ICAN Software Corporation, a Microsoft Dynamics amp; Acumatica ERP partner firm that sell and implements ERP and CRM software, develops software solutions and provides technology consulting. He is the host of a radio show called Business In The Cloud that airs weekly on KLAY 1180AM. He is skilled in building integrated cloud app solutions. His career spans more than 20 years in various technical/managerial positions within industries as diverse as military service, engineering/construction, municipal government, consulting and certified public accounting. Additionally, he holds various national certificates in technology (MCDBA, MCSE, CNE, CITP, Dynamics CRM and ERP, Acumatica CRM and ERP)
LinkedIn: http://www.linkedin.com/in/randyknight
Contact: http://www.sqlsolutionsgroup.com/blog
Randy Knight is a data professional who has worked with Microsoft technology for over 25 years, focusing on SQL Server since 1997. He has worked in a variety of settings, including 6 years as a database architect for match.com. In 2010, he founded SQL Server Solutions Group LLC, a boutique SQL Server consultancy. A Microsoft Certified Master (MCM) in SQL Server, he speaks often at events all over the country including the PASS Summit, SQLIntersections, and numerous SQLSaturday and User Groups.
LinkedIn: http://www.linkedin.com/pub/jeff-renz/29/82a/aa4
Contact: http://www.revgen.com
Jeff Renz is a Senior Architect at RevGen Partners, currently working as the design architect and implementation lead on several projects for a Fortune Top 50 company. Jeff has worked with SQL Server and BI for 15+ years and has 10 years’ experience with data warehouse design and implementation. In addition to consulting, he is joining the University of Denver adjunct faculty and is expected to begin teaching in the ICT program starting in June. He received his bachelor’s degree in Computer Science, his master’s degree in Operations Research from Colorado School of Mines, and will be graduating from the Harvard Business Analytics Program in December.
LinkedIn: http://www.linkedin.com/in/marcbeacom
Contact: http://www.DawaBI.com/blog.aspx
Marc Beacom is Principal Architect of DawaBI, a Data Warehouse and Business Intelligence Consultancy firm focusing on Making Data-Driven Decisions Possible. He has been working with SQL Server for over a decade delivering scalable solutions for organizations of all sizes. . Marc is an active member of the community and has served 5 years on the board of two Colorado SQL Server UGs, 1 year as a Regional Mentor for PASS. Currently he is on the boards of CO GiveCamp and Camp To Belong CO.
LinkedIn: https://www.linkedin.com/in/dbajbrimhall/
Contact: http://jasonbrimhall.info
Jason Brimhall has more than 20 years of experience and has worked with SQL Server 6.5 through SQL Server 2019. He has experience in performance tuning, high transaction environments, and large environments. He is currently a consultant specializing in performance tuning, server analysis, and problem resolution. Jason is a Microsoft Certified Master (MCM) and a Data Platform MVP.
Contact: http://www.grokdev.com/blogs/scott
Scott is a Microsoft Regional Director with over 15 years experience helping clients to create solutions to business problems with various technologies. He is an experienced speaker and trainer. He has taught classes around the globe on various technical and business related topics. Scott has presented at numerous code camps, Tech Ed break out sessions, and Tech Ready. Scott has held many certifications including Certified PowerBuilder Developer, Certified Sybase Instructor, MCP, MCSD, and MC
Contact: http://www.mitchespitch.com
Mitchell Bottel is a senior database administrator with Sutter Physician Services, owner of Innovative IT Consulting and President of the Sacramento SQL Sevrer User Group. He has 14 years of IT experience, focusing on SQL Server for the last ten years with an emphasis on database administration and high availability solutions. He has authored blog posts on the SQLServerPerformance website and written White Papers on using Dynamic Management Views.
LinkedIn: http://www.linkedin/in/carlosbossy
Contact: http://www.carlosbossy.com
Carlos Bossy (MCTS, MCP BI, CBIP) is a data and cloud analytics architect with 25 years of experience in software and database development. As a principal of Datalere, Carlos focuses on developing BI, Data Science, and Advanced Analytics solutions, including modeling data warehouses and delivering predictive models, integration, and visualization. He has developed warehouses and BI solutions for a variety of industries and state agencies, including health insurance, solar energy, foster care, telecom, and manufacturing.
LinkedIn: http://www.linkedin.com/in/patwright
Contact: http://www.sqlasylum.com
Pat Wright has been working in the DBA space for 10+ years. Focusing on Performance tuning and ETL/DW projects. He helped found the local SQL Users group(www.slcsql.com) and founded the Not For profit Organization Utah Geek Events(www.utahgeekevents.com) which was founded to help the local community put on events.
Contact: http://www.mitchespitch.com
Mitchell Bottel is a senior database administrator with Sutter Physician Services, owner of Innovative IT Consulting and President of the Sacramento SQL Sevrer User Group. He has 14 years of IT experience, focusing on SQL Server for the last ten years with an emphasis on database administration and high availability solutions. He has authored blog posts on the SQLServerPerformance website and written White Papers on using Dynamic Management Views.
LinkedIn: http://www.linkedin.com/in/tjaybelt/
Contact: http://tjaybelt.blogspot.com
TJay Belt is an outdoorsman at heart who enjoys riding dirtbikes, waterskiing, boating, playing racquetball and spending time with his family. When he can't be out playing, TJay loves to tinker with databases. TJay has been an IT professional for over a decade and a half. Currently serving as a Senior Database Administrator with Imagine Learning. TJay has progressed through several roles in his database career including developer, data guy, database developer, database analyst and DBA.
LinkedIn: https://www.linkedin.com/e/fpf/252170891
Contact: https://mvp.support.microsoft.com/profile=02C5CD07-7511-4151-A678-3A4A3451F85E
Bill Pearson created Island Technologies Inc. in 1997, and has developed a large and diverse customer base since. Bill#39;s background as a CPA, Internal Auditor, Management Accountant, and SQL Server MVP (BI) enables him to provide value to clients as a liaison between Accounting / Finance and Information Services. Bill has implemented enterprise business intelligence systems over the years for many Fortune 500 companies and focuses his practice upon the integrated Microsoft Business Intelligence
LinkedIn: https://www.linkedin.com/in/gabevilla
Contact: https://extofer.wordpress.com/
Gabriel is a skilled leader, architect, and technical expert focusing primarily on Microsoft technologies and is passionate about open-source technologies for integration, automation, and development. Gabriel’s versatility extends from systems, data and development and leverages hybrid/SaaS/Cloud integration, proven software engineering platforms, and best-of-breed data management and business intelligence solutions. Originally from El Paso, Texas, Gabriel lives in Colorado Springs with his wife and kids, where he is an Architect for RevGen Partners, volunteers in the tech community and enjoys the Colorado outdoors.
LinkedIn: http://www.linkedin.com/in/dbaduck/
Contact: https://dbaduck.com
Ben has been a member of the SQL Server Community since 2000. He loves a challenge and has fixed many SQL Servers and helped hundreds of people get more out of their DBA jobs. He is a Data Platform MVP a SQL Server Certified Master (MCM). He has worked at various companies throughout the USA, as well as at Microsoft for 7 years. He is passionate about SQL Server Infrastructure, High Availability, Automation and Integration using SMO and PowerShell. He teaches DBAs how to use PowerShell to do their job and teaches SQL Server Internals. He is @DBAduck all around the web (Twitter, LinkedIn, Facebook, Blog) so let's catch up.
LinkedIn: http://www.linkedin.com/in/jasonhorner
Contact: http://blog.jasonhorner.com
Hi, my name is Jason I'm a practice lead at Redapt. I spend most of my day helping clients solve business problems mostly in the Data and Advanced Analytics spaces. Sometimes this involves various and sundry cloud technologies including Azure Data Factory, Azure SQL Data Warehouse, Azure Data Lake Store, Azure Databricks, HDInsight and Azure SQL Database. I'm fluent in several languages including: SQL, C#, Python, and PowerShell. I'm a Microsoft Certified Master of SQL Server (MCM) and have been recognized for my technical excellence and evangelism efforts by Microsoft by being awarded the Most Valuable Professional (MVP) for the last 5+ years. In my off hours I like to snowboard, karaoke, ride roller coasters, and play arcade games
Contact: http://www.libertybi.com
Martin Miller is a senior BI architect for a large health care organization, and is the founder of Liberty BI Consulting Services. Martin has over 10 years of experience designing and developing large scale, enterprise BI solutions for a wide variety of platforms and technologies, including Oracle, SQL Server and BusinessObjects.
LinkedIn: http://www.linkedin.com/in/randyknight
Contact: http://www.sqlsolutionsgroup.com/blog
Randy Knight is a data professional who has worked with Microsoft technology for over 25 years, focusing on SQL Server since 1997. He has worked in a variety of settings, including 6 years as a database architect for match.com. In 2010, he founded SQL Server Solutions Group LLC, a boutique SQL Server consultancy. A Microsoft Certified Master (MCM) in SQL Server, he speaks often at events all over the country including the PASS Summit, SQLIntersections, and numerous SQLSaturday and User Groups.
LinkedIn: http://www.linkedin.com/in/tjaybelt/
Contact: http://tjaybelt.blogspot.com
TJay Belt is an outdoorsman at heart who enjoys riding dirtbikes, waterskiing, boating, playing racquetball and spending time with his family. When he can't be out playing, TJay loves to tinker with databases. TJay has been an IT professional for over a decade and a half. Currently serving as a Senior Database Administrator with Imagine Learning. TJay has progressed through several roles in his database career including developer, data guy, database developer, database analyst and DBA.
LinkedIn: https://www.linkedin.com/in/pturley
Contact: http://www.sqlserverbiblog.com
Paul is a Principal Consultant for Pragmatic Works, a Mentor and Microsoft Data Platform MVP. He consults, writes, speaks, teaches blogs about business intelligence and reporting solutions. He works with companies around the world to model data, visualize and deliver critical information to make informed business decisions; using the Microsoft data platform and business analytics tools. He is a Director of the Oregon Data Community PASS chapter user group, the author and lead author of Professional SQL Server 2016 Reporting Services and 14 other titles from Wrox Microsoft Press. He holds several certifications including MCSE for the Data Platform and BI.
LinkedIn: https://www.linkedin.com/e/fpf/252170891
Contact: https://mvp.support.microsoft.com/profile=02C5CD07-7511-4151-A678-3A4A3451F85E
Bill Pearson created Island Technologies Inc. in 1997, and has developed a large and diverse customer base since. Bill#39;s background as a CPA, Internal Auditor, Management Accountant, and SQL Server MVP (BI) enables him to provide value to clients as a liaison between Accounting / Finance and Information Services. Bill has implemented enterprise business intelligence systems over the years for many Fortune 500 companies and focuses his practice upon the integrated Microsoft Business Intelligence
LinkedIn: https://www.linkedin.com/in/michaelfal/
Contact: http://mikefal.net
Mike is a specialist in data management technologies. As a community advocate, public speaker, and blogger, Mike is a practicing thought leader for data and automation. He is passionate about DevOps and data, building platforms to optimize, protect, and use data efficiently. Since 1999, Mike has been working in the database field, focusing primarily on SQL Server and specializes in automating data solutions to improve the reliability and efficiency of his environments. He has been caught playing trombone in public on more than one occasion.
Contact: http://www.douglane.net
Doug Lane (MCITP, MCTS) is a consultant with Brent Ozar Unlimited and has over 14 years' experience with SQL Server. He blogs about SQL Server with emphasis on Reporting Services and professional development.
The following is a list of sponsors that helped fund the event.


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Scott Meyers' Universal References
I came across an another very clarifying talk of the legend Scott Meyers presenting
Universal References in C++11 back in 2012. In this talk
he calls our attention to the misleading usage of template parameters T&&
, which we usually
assume being rvalue references in all situations. It happens that it is not always the case.
The fact is that T&&
becomes a rvalue reference or a lvalue reference depending on the
case. Meyers defines a universal reference as a variable or parameter that fulfills the
following requirements
- It is declared as
T&&
; T
is a deduced type;
If a universal reference is initialized with a lvalue, then it becomes a lvalue reference. If a universal reference is initialized with a rvalue, then it becomes a rvalue reference.
Let’s consider a template function f
template<typename T>
void f(T&& param);
and an instance of some arbitrary class
SomeClass c;
Then T&&
will be interpreted by the compiler differently depending on the usage of f
:
f(c); // instantiated as f(SomeClass&);
f(std::move(c)); // instantiated as f(SomeClass&&);
f(SomeClass()); // instantiated as f(SomeClass&&);
As you may notice, we get an lvalue reference in the first case.
const T&&
is not a universal reference.
The same logic is
applied to the use of auto
declarations:
auto&& v = 10; // type is int&&
std::vector<int> v;
auto&& e = v[5]; // type is int&
Attention: In the case of a template class (such as
std::vector<T>
) with method parameters using its templates (such asstd::vector<T>::push_back(const T&)
andstd::vector<T>::push_back(T&&)
), the type is resolved at class instantiation and therefore there is no universal reference – there is no type deduction.std::vector<T>::emplace_back<...Args>(Args&&...)
on the other hand getsArgs
resolved by deduction, therefore a universal reference.
The importance of distinguishing between lvalue and rvalue instantiations along with template references gets more clear when we do things like move constructors or function overloads:
class MyClass {
template<typename T>
void doStuff(const T& param); // takes const lvalues only
template<typename T>
void doStuff(T&& param); // takes everything else!
};
If we don’t pay attention, the code might actually run one function instead of the function we might be mistakenly be expecting it to. Take some time to think about it: non-const lvalue are sent to the second function, and not the first.
Rules of Thumb⌗
Speaking of lvalues and rvalues, here are some tips to keep in mind:
void f(const SomeClass& param) {
// Use param normally
}
void f(SomeClass&& param) {
// Access param with std::move(param)
// Although SomeCLass&& is a rvalue reference type, param is a named variable,
// therefore a lvalue, leading to copy operations. So we must make sure to work
// with param as its original rvalue semantic
}
template<typename T>
void f(T&& param) {
// Access param with std::forward<T>(param)
// Since param can virtually be anything we want to keep its original
// lvalue/rvalue semantic
}
Under the hood⌗
For the curious out there, this transformation between rvalue references to lvalue references caused by universal references happens because the way the compiler deduces reference types. For example,
template<typename T>
void f(T&& param);
SomeClass c;
f(c);
f
will be instantiated with its template parameter T
deduced as SomeClass&
:
void f<SomeClass&>(SomeClass& && param);
However, reference of reference is not allowed, so the compiler resolves it by collapsing references following the rules
T& & // collapses to T&
T&& & // collapses to T&
T& && // collapses to T&
T&& && // collapses to T&&
Then the final version for our function becomes
void f<SomeClass&>(SomeCLass& param);
auto
follows the exact same rules.


hello works!
Use the Choose File button to load an image through OpenCV.js in the canvasOutput section


--- title: HTML5 for XP campaign website excerpt: 'HTML5 for XP campaign website by @codepo8: http://html5forxp.com/. Spread the word!' date: '2011-03-29 12:43:14 +0200' date_gmt: '2011-03-29 10:43:14 +0200' categories: - Webdev tags: - tweets - web - design - development ---
HTML5 for XP campaign website by @codepo8: http://html5forxp.com/. Spread the word!


GetSET is a tool designed for bands to organise & manage all aspects of gigs; from assigning instrumentalists to generating transposed music charts.
End


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rotten > Library > Biographies > US Officials > Bill Frist
Bill Frist
Senate Majority Kitten killer:
"Frist is an animal lover who said his decision to become a doctor was clinched when he helped heal a friend's dog. But Frist now found himself forced to kill animals during medical research. And his new dilemma was finding enough animals to kill. Soon, he began lying to obtain more animals. He went to the animal shelters around Boston and promised he would care for the cats as pets. Then he killed them during experiments. "It was a heinous and dishonest thing to do," Frist wrote. "I was going a little crazy."
Timeline
| 22 Feb 1952 |
William H. Frist born, Nashville, TN. |
Pornopolis |
Rotten |
Faces of Death |
Famous Nudes
|


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Specialist Equipment
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Digital Retinal Camera
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Perimetry
Low Vision
Sports Vision
Vision Therapy
Specialty Contact Lenses
Dry Eye
Practice Management System
Acuitas activeEHR2
VisualEyes
MyVisionExpress
iFile/cFile
Maximeyes
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Essilor
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Centennial
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Contact Lens Specialty
Scleral
RGP
Keratoconus
Toric
Average Full Exam Time
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20min
25min
30min
35min
40min
45min
Handover between Dr, Patient, Dispenser
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Patient Booking Preference
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Pretest Equipment
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Auto Refractor
Keratometer
Color Vision Test
E-Chart
Pachymetry
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Specialist Equipment
OCT
Digital Retinal Camera
Optos Optomap
Visual Fields Perimetry
HRT
Digital Slit Lamp
Practice Specialty
Pediatric
Glaucoma
Perimetry
Low Vision
Sports Vision
Vision Therapy
Specialty Contact Lenses
Dry Eye
Practice Management System
Acuitas activeEHR2
VisualEyes
MyVisionExpress
iFile/cFile
Maximeyes
Genie
Eyefinity OfficeMate
Other
Lens Product Affiliation
Hoya
Nikon
Essilor
Zeiss
Rodenstock
Centennial
Seiko
Other
Independent
Contact Lens Specialty
Scleral
RGP
Keratoconus
Toric
Average Full Exam Time
15min
20min
25min
30min
35min
40min
45min
Handover between Dr, Patient, Dispenser
Yes
No
Patient Booking Preference
Full-Full-Partial
Full-Partial-Full
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Other
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‘Star Wars’ director J. J. Abrams reveals that ‘The Rise of Skywalker’ script leaked after actor “left it under their bed”
"It was found by someone cleaning their place"
J.J. Abrams has revealed that the script for the upcoming Star Wars film was leaked online after a cast member left a copy of it “under their bed.”
- Read More: ‘Star Wars: The Rise of Skywalker’ — what we know so far about the final film in the trilogy
The Star Wars director explained on Good Morning America that the script for the upcoming film was posted on E-bay after it was discovered by a cleaner at one of the actor’s houses.
Whilst Abrams wouldn’t reveal who the actor was, he did note that a Disney employee spotted the script online and “got it back before it sold.”
Abrams said: “One of our actors, I won’t say which one — I want to, but I won’t — left it under their bed and it was found by someone who was cleaning their place,” Abrams told Good Morning America. He added: “And it was given to someone else, who then went to sell it on eBay.”
The director also explained that the film, which is due to arrive in cinemas next month, was still being worked on as late as last week and was only completed last Sunday (November 23). You can watch the interview here:
Meanwhile, Star Wars fans have expressed their dismay after Ed Sheeran reportedly made a surprise cameo in a new promo for Star Wars: The Rise of Skywalker.
The singer, who has been rumoured to appear in the upcoming movie, is seen dressed as a Stormtrooper on what appears to be a set, and pops-up alongside Hamilton creator and His Dark Materialsstar Lin-Manuel Miranda.
This prompted fans on Twitter to vent their anger at the possible appearance with one writing: “Ed Sheeran’s in Star Wars. Dead to me.”
Another added: “If Ed Sheeran has any lines or has any link to music in the next Star Wars movie – I’m going to pay for surgery to remove Star Wars from my brain permanently.”
Sheeran previously made an appearance in Game of Thrones in 2017 with the singer appearing in a brief scene with Maisie Williams, who plays Arya Stark.
The Rise of Skywalker will act as the final instalment in the Skywalker Saga.


I would like to keep the about info pinned to the right on larger screens and pinned to the bottom on smaller screens.
I still need to think of the content I would like to fill this page with. For now I will keep what I have on the homepage.
This is just an example of how I would want a static block to look.
Overtime I would like to build this website up to be a hub for the things that interest me. I would like a way to catalogue and view my thoughts in a format that is visually pleasing to me
My main goal for the V1 portion of this project was getting my framework setup and layout to my liking. I want this site to be responsive and this is one of my top priorities so I appoligize for how bland it looks at the moment! If you collapse your browser to be under 955px wide you can see it format to mobile view and below 400px the links (when i add more) will stack on top of eachother! Try loading the site on your phone to see how it looks.
Something clever?
I'll just do another lorem to fill in the empty space...
Lorem ipsum, dolor sit amet consectetur adipisicing elit. Suscipit cumque error ipsum mollitia. Dicta sint adipisci, ad doloremque accusantium eum tenetur voluptates vel debitis veniam aliquam omnis numquam ipsum tempora.
This site serves the purpose of housing and reflecting upon the things that interest me most.
This a WIP (work in progress) so expect things to change frequently as I learn new concepts to apply
I'm Zach of course!
I am a Navy Veteran currently studying Computer Information Systems at Olympic College
I love tech, art, and min-maxing Path of Exile characters that I end up deleting anyways.


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Gray & Mark are Getting Married!
August 4, 2019 | Cancún, Quintana Roo, Mexico


Array's vs Hashes
An array is a indexed collection of elements. The elements can be all of any type of object, strings, numbers but could be other type of objects also. Arrays are indexed by sequential numbers only, enabling you to refer to the element by its index number. Imagine series of numbered boxes, each box holding word. If you wanted to know what the word in box number 3 is you would, in english say 'tell me what is in box number 3', simple enough. You can refer to any of the boxes by their box number.
A hash, is also a collection of elements. The elements can also be any type of object like an array. The elements in a hash though consist of the object to be stored as well as a key element. Hashes store things in pairs, the pair consisting of a key and the object.
Both array's and hashes are structures for storing set's of objects that can referenced by their key
The primary difference with array's and hashes is that with a hash you can choose yourself what you want the indexed key to be, it could be anything but the best for it, in my view would be to have the key identify the type of object the key relates to, for example a hash pair might , that being the first element of the pair, whereas an with an array the index number is assigned to the object to be stored when it is added the array.
Some articles state it is more efficient accessing array elements, but hashes are more flexible due to the ability to assign the key of the object yourself. But I have found other articles that state hashes are more efficient thn array's. May have to get clarification on this point.
Some example's of the use of arrays and hashes
creating array named my_array and populating it with "dog","cat","rabbit","bird","fish". The order of the elements in the array are in the same order they appear between the brackets. So "dog" is the first array element, "cat" the second and so on.
my_array = ["dog","cat","rabbit","bird","fish"]
To access the array elements you just use an integer that refers to the elements order when the array was created or defined.
examples of how to access array elements
my_array[2] would give you "cat" (accessing the 2nd array element)
my_array[4] would give you "bird" (accessing the 4th array element)
To set or change array elements use the following syntax
my_array[1] = "rat" (sets the first array element to "rat", this will overwrite "dog" in this case
my_array[3] = "pig" (sets the third array element to "pig", this will overwrite "rabbit")
Arrays and hashes are structures that enable in-memory storage of elements for further processing using the powerful methods for element and object manipulation like indexing, searching, replacing, stripping apart , and joining together to achieve the desired result


When Thor's evil brother, Loki (Tom Hiddleston), gains access to the unlimited power of the energy cube called the Tesseract, Nick Fury (Samuel L. Jackson), director of S.H.I.E.L.D., initiates a superhero recruitment effort to defeat the unprecedented threat to Earth.
Ethan Hunt and the IMF team join forces with CIA assassin August Walker to prevent a disaster of epic proportions. Arms dealer John Lark and a group of terrorists known as the Apostles plan to use three plutonium cores for a simultaneous nuclear attack on the Vatican. Jerusalem and Mecca, Saudi Arabia. When the weapons go missing, Ethan and his crew find themselves in a desperate race against time to prevent them from falling into the wrong hands.
Three years after the destruction of the Jurassic World theme park, Owen Grady and Claire Dearing return to the island of Isla Nublar to save the remaining dinosaurs from a volcano that's about to erupt. They soon encounter terrifying new breeds of gigantic. dinosaurs, while uncovering a conspiracy that threatens the entire planet.
Journalist Eddie Brock is trying to take down Carlton Drake, the notorious and brilliant founder of the Life Foundation. While investigating one of Drake's experiments, Eddie's body merges with the alien Venom -- leaving him with superhuman strength and power.
After arriving safely home from their unprecedented victory in the 74th Annual Hunger Games, Katniss Everdeen (Jennifer Lawrence) and Peeta Mellark (Josh Hutcherson) discover that they must do a quick turnaround and begin a Victors Tour. As she and Peeta travel throughout the districts, Katniss senses a rebellion is stirring.
However, President Snow (Donald Sutherland) proves that he is still very much in control when word comes of a cruel change in the rules for the upcoming 75th Hunger Games.
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