RAGING BULL
A Film Review by James Berardinelli
RATING: **** OUT OF ****
United States, 1980 Running Length: 2:09 MPAA Classification: R (Extreme & frequent profanity, graphic violence) Theatrical Aspect Ratio: 2.35:1
Cast: Robert De Niro, Joe Pesci, Cathy Moriarty, Frank Vincent, Nicholas Colasanto Director: Martin Scorsese Producers: Irwin Winkler and Robert Chartoff Screenplay: Paul Schrader and Mardik Martin based on the book by Jake La Motta with Joseph Carter and Peter Savage Cinematography: Michael Chapman Music: Robbie Robertson U.S. Distributor: United Artists
Some critics, including Siskel & Ebert, are on the record stating that Martin Scorsese's RAGING BULL, the story of boxer Jake La Motta, is the best film of the '80s. Since there are still a number of '80s films that I haven't seen, I don't feel qualified to make such a judgment, but I'll say this without hesitation: RAGING BULL is a great motion picture, and I would be surprised if more than a handful of films released between January 1, 1980 and December 31, 1989 come close to its level.
Bio-pics often fall into one of two categories: overblown hero- worship or a dry, dull textbook account. It's rare that a movie with the moniker "based on the life of " comes across as anything more than sporadically energetic and marginally entertaining. RAGING BULL is the perfect counterexample, and a brilliant argument for film makers to continue to work in this genre. The picture takes the life of boxer Jake La Motta, a Middleweight icon from the '40s and '50s, and develops one of the most compelling character studies ever to reach the big screen. For all 129 minutes, director Martin Scorsese and actor Robert De Niro (in the title role) have us mesmerized by this individual who is by turns sympathetic, sad, and horrifying.
Historically, RAGING BULL is said to be mostly accurately, with the lion's share of the details culled from La Motta's own autobiography (which was co-written with Joseph Carter and Peter Savage). However, although La Motta is credited as the movie's "consultant," he was reportedly unhappy with the final result, because it portrays him as nothing short of an uncouth, insensitive lout. The La Motta of the movie is a man of extreme appetites who is driven by base, bestial impulses paranoia, jealousy, and blind rage. Sex and violence are inextricably linked. The title is apt La Motta is a raging bull.
In the ring, he is a terror, not just beating his opponents, but destroying them. Outside of it, he is no less vicious or more easily controlled. The two people who spar with him on life's canvas are his wife, Vicki (Cathy Moriarty), and his brother/manager, Joey (Joe Pesci). These are the two who mean the most to Jake, and who, as a result of his inability to trust himself or others, he loses. He beats Vicki mercilessly because he suspects her of infidelity, and, when he inaccurately believes that his brother betrayed him, his lets loose with an explosion of violence.
RAGING BULL opens in 1941 when La Motta, an up-and-coming fighter, is battling his way into the upper echelon of the Middleweight Class. Over the years, he wins several key bouts, including one against his arch-rival, Sugar Ray Robinson (Johnny Barnes), but his unwillingness to capitulate with the local godfather keeps him from an opportunity to participate in a championship match. Meanwhile, away from the ring, La Motta falls in love with 15-year old Vicki, who he marries after discarding his shrewish first wife. Vicki becomes Jake's greatest prize (a wife, in his view, is not a companion, but a possession) and the source of his most extreme pain. His own insecurity is so great that he cannot accept that a woman as beautiful as Vicki could be faithful to him. Hence, he is constantly haunted by a belief that she is sleeping with someone else perhaps even his brother. (This leads to the famous line parodied in WAITING FOR GUFFMAN and elsewhere: "Are you f**king my wife???")
In the late '40s, La Motta gets his first shot at a championship fight, but with one huge condition: he must take a fall. He does it so badly that an investigation is launched and he is almost thrown out of boxing. Two years later, he wins the championship, only to lose it in a subsequent bout to Sugar Ray. By the late '50s and early '60s, when the film ends, Jake has become a pathetic figure a broke, overweight loser who has spent time in jail for corrupting the morals of a minor, has lost his wife and children, and is trying to earn a few bucks by doing a cheap standup routine.
RAGING BULL is the other side of ROCKY. Sylvester Stallone's tale of boxing triumph was released to great critical acclaim in 1976. It won the 1977 Best Picture Oscar, and a sequel arrived in theaters before RAGING BULL went into production. But, where ROCKY romanticizes boxing, RAGING BULL takes a cold, unflinching look at the violence both inside and outside of the ring. While Scorsese's primary aim is to present a riveting deconstruction of La Motta the man, he never backs away from showing the seedy, ugly underside of a sport where gambling, greed, and organized crime force fighters to throw matches to continue working. ROCKY shows boxing at its noblest; RAGING BULL shows it at its most diseased.
There's little I can say here that hasn't already said about De Niro's performance. In a career that has included many fine roles, this is his most outstanding. The level of intensity De Niro brings to La Motta is unwavering. And, although there's a lot of Travis Bickle (De Niro's character in TAXI DRIVER) in La Motta, Scorsese and De Niro go to great lengths to make sure that, if we never fully sympathize with him, at least we understand the forces that drive him. This is a complete characterization and a perfect example of acting. As the younger Jake, De Niro is trim and fit. As the fat, older man, De Niro gained 50 pounds and turned his body into a grotesque parody of its normal form. How many actors would go that far? The Best Oscar statue is only one testimony to the lasting power of the performance.
Cathy Moriarty and Joe Pesci both earned nominations for their supporting work (although neither won). Their portrayals have the same raw energy that infuses De Niro's. Pesci, who has basically re-created the same personality in two other Scorsese films (GOODFELLAS and CASINO), presents Joey as a slightly more intelligent version of his brother. The misogyny and violence are still there, only better concealed. But, when Joey snaps, as he does in one scene where he pounds on a mobster (Frank Vincent), it's startling to behold. Moriarty, on the other hand, must play the temptress with virginal qualities the only kind of woman who would ensnare Jake. Later, she's called upon to portray the battered wife and mother whose love has turned into fear.
Scorsese and cinematographer Michael Chapman elected to shoot the bulk of RAGING BULL in black-and-white (a few "home movie" segments are in color). The choice is perfect for the movie, giving RAGING BULL a unique look in an era when a black-and-white approach is almost unheard of. (One important recent exception, SCHINDLER'S LIST, eschewed color for some of the same reasons that RAGING BULL did.) In black-and-white (especially considering Scorsese's choice of shots and use of slow motion), the violence is stark and disturbing. There's no room for romanticism in the ring with inky black blood staining the canvas. During fight sequences, the director also uses a number of point-of-view shots designed to show the world, however briefly, from La Motta's perspective.
Scorsese could have chosen to end the film with La Motta's loss to Sugar Ray, where he surrendered his Middleweight crown. After that, his career was all downhill. Yet the director allows the film to run for thirty minutes after this pivotal moment, stretching more than a decade into La Motta's future. The reason is obvious: Scorsese isn't as interested in boxing as he is in the character. Following his retirement, La Motta is still as violent and volatile as ever, but he has lost the arena in which he can legally unleash those tendencies. We see the results of this beast let loose on society and how the consequences of his actions reduce him to a parody of his former self. Who cannot feel a surge of pity for La Motta as he quietly recites Marlon Brando's speech from ON THE WATERFRONT? ("I coulda been a contenda.")
Perhaps RAGING BULL is indeed the best film of the '80s. And, if not, it's certainly perilously close to the zenith.
Copyright 1998 James Berardinelli
- James Berardinelli e-mail<EMAIL_ADDRESS>Now with more than 1400 reviews... The ReelViews web site: http://movie-reviews.colossus.net/
"My belief is that no movie, nothing in life, leaves people neutral.
-- David Puttnam
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


py2store.persisters.local_files¶
base classes to work with local files
-
class
py2store.persisters.local_files.
DirReader
(rootdir)[source]¶ KV Reader whose keys (AND VALUES) are directory full paths of the subdirectories of rootdir.
-
class
py2store.persisters.local_files.
DirpathFormatKeys
(path_format: str, max_levels: int = inf)[source]¶
-
class
py2store.persisters.local_files.
FileReader
(rootdir)[source]¶ KV Reader whose keys are paths and values are: - Another FileReader if a path points to a directory - The bytes of the file if the path points to a file.
-
class
py2store.persisters.local_files.
FilepathFormatKeys
(path_format: str, max_levels: int = inf)[source]¶
-
class
py2store.persisters.local_files.
LocalFileRWD
(mode='', **open_kwargs)[source]¶ A class providing get, set and delete functionality using local files as the storage backend.
-
class
py2store.persisters.local_files.
LocalFileStreamGetter
(**open_kwargs)[source]¶ A class to get stream objects of local open files. The class can only get keys, and only to read, write (destructive or append).
>>> from tempfile import mkdtemp >>> import os >>> rootdir = mkdtemp() >>> >>> appendable_stream = LocalFileStreamGetter(mode='a+') >>> reader = PathFormatPersister(rootdir) >>> filepath = os.path.join(rootdir, 'tmp.txt') >>> >>> with appendable_stream[filepath] as fp: ... fp.write('hello') 5 >>> print(reader[filepath]) hello >>> with appendable_stream[filepath] as fp: ... fp.write(' world') 6 >>> >>> print(reader[filepath]) hello world
-
class
py2store.persisters.local_files.
PathFormatPersister
(path_format, max_levels: int = inf, mode='', **open_kwargs)[source]¶
-
class
py2store.persisters.local_files.
PrefixedDirpathsRecursive
[source]¶ Keys collection for local files, where the keys are full filepaths RECURSIVELY under a given root dir _prefix. This mixin adds iteration (__iter__), length (__len__), and containment (__contains__(k)).
-
class
py2store.persisters.local_files.
PrefixedFilepaths
[source]¶ Keys collection for local files, where the keys are full filepaths DIRECTLY under a given root dir _prefix. This mixin adds iteration (__iter__), length (__len__), and containment (__contains__(k)).


Time Series Model Visualization¶
Our examples in this section come from an ensemble of 250 electrical circuit simulations, where our time series outputs are current and voltage variables sampled over time. A Time Series model of this ensemble is shown in Figure 54. The model provides three linked views, each providing a different level of abstraction. The Dendrogram View in the upper left provides a high-level view that groups waveforms by similarity. In the upper right, the Simulation View displays a line plot for each ensemble member. The plots are superimposed in a shared coordinate space to facilitate comparisons. The lowest level view is the Variable Table, which provides the raw data values from the original table file. It is drawn across the bottom of the display and may be scrolled both vertically and horizontally if the number of rows or columns exceeds the available space. Although the Variable Table may contain columns with scalar output metrics, or columns of file URIs that would be categorized as being neither input nor output, the ingestion wizard assumes all table columns are inputs and colors them green.
The Dendrogram View controls visibility of ensemble members in both the Simulation View and the Variable Table. Selections can be made in any one of the views, after which they are propagated to the other two. Color-encoding is shared by all views.
The model specific controls for a Time Series model are shown in Figure 55. Within each time series file, multiple output variables may be present. Each variable is input as a column of values, and each row provides the values for all variables at a single instant in time. Each time series variable generates a distinctly different dendrogram and has a set of unique plots. The Outputs dropdown provides a list of the time series variables so you can select which one is currently being displayed in the Dendrogram View and the Simulation View.
To facilitate discovering relationships between input parameters and groups of output plots, it is often useful to color-code the lines by input variable values. Select a color-coding variable either through the Line Color dropdown or by clicking on a table column header (see Color-Coding Lines below).


Sleepy Hollow (1999) Reviewed by Eugene Novikov http://www.ultimate-movie.com/ Member: Online Film Critics Society
Starring Johnny Depp, Christina Ricci, Casper Van Dien, Miranda Richardson, Michael Gambon, Mark Pickering. Rated R.
There are a lot of words that signify praise in the dictionary. If I used them all, it wouldn't do Tim Burton's Sleepy Hollow justice. Some movies go beyond the grasp of the English language. I probably can't give you a satisfactory description of this one, you have to see it for yourself. I'll try, but listen: if what you read about this movie here doesn't sound particularly intriguing to you, see it anyway.
It is an adaptation of Washington Irving's "The Legend of Sleepy Hollow," but it's the Tim Burton version of the classic horror story. The general plot (especially the ending) has been tinkered with to accomodate Burton's glorious stylistic eccentricities. It is, of course, the legend of the Headless Horseman, the mysterious entity that terrorizes the small town of Sleepy Hollow, chopping off citizens' heads at will. Or, that is what the superstitous village folk suspect and are not too eager to be dissuaded from in favor of something less fantastic.
Enter Ichabod Crane (Johnny Depp). A cynical, fancy-schmancy, rather girlish investigator from New York City, he is called in to investigate the beheadings in Sleepy Hollow. Of course, he doesn't believe the Headless Horseman tales for a second; he is convinced that the murderer is human and is determined to find him. He receives what seems like a warm welcome, but he can't help but notice something afoot; the town's prime citizens seem to be plotting something and concealing important details from him.
He does eventually have an encounter with the horseman himself and is immediately persuaded of his supernatural existence. What he is not sure about, however, is his independence. Certain clues lead him to believe that there is someone behind the horseman, controlling him and determining his victims. Since nobody in the town is particularly keen on going into the woods and seeking out the murderer, Ichabod and a child of one of the murdered are to go it alone.
Meanwhile, Ichabod falls for the daughter of one of the prime suspects (Christina Ricci) and the two star off an eccentric relationship, neither of them willing to take it to the next level. She is, of course, destined to play a vital role in how the rest of the story unspools.
At the risk of making an overly encompassing, generalizing statement, Sleepy Hollow is probably the most beautiful movie I have ever seen. Every shot, every frame is nothing less than a work of art, something to study and admire. Ordinary is obviously not a word Burton (who, incidentally, directed stuff like Batman, Ed Wood and, my personal favorite, Mars Attacks!) is not familiar with. All visual elements -- the trees, the sky, the fog, the town itself -- look and feel like they are from some twisted gothic fairy tale; the result is the epitome of gorgeousness. I have yet to see the film another time, but I plan to do that as soon as possible; one viewing is unsatisfactory if one wants to pick out all of the film's visual intricacies. If I don't see an Art Direction nomination from this, I will be, pardon the colloquialism, bitching.
Aside from being aesthetically stunning, Sleepy Hollow is exciting, engrossing and fast-paced. The prevalent horror scenes are staged with thought and panache. Every sequence is executed flawlessly; the editing if perfect and the gore, while abundant, doesn't seem excessive or get in the way of the action. Visually adept movies can't merely be pretty; the camerawork has to serve the plot and the staging has to work impeccably. In Sleepy Hollow, everything works.
I think Johnny Depp, a Burton veteran, sheds his pretty boy image here, if only temporarily. His Ichabod is awesome. He's like the anti-hero. There's a scene somewhere in the middle of the movie where he and a young boy are walking into what seems to be a witch's lair.  There's another where Ichabod sees a spider and, with a girlish scream, hops on a stool. The beauty about scenes like those is that Depp, of all people, makes us believe them without eliciting disdain for his character.
Sleepy Hollow takes a conventional story and turns it into something wholly extraordinary: a mainstream work of art. I have no doubt in my mind that mass audiences will get a kick out of this and yet it is much more than a crowd pleaser. It is simple in plot but endlessly complex in execution. Heads Will Roll and Sleepy Hollow is perfect.
Grade: A
©1999 Eugene Novikov
Sent via Deja.com http://www.deja.com/ Before you buy.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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{% extends "base.html" %} {% block title %}Forbidden{% endblock %} {% block content %}
You don't have permission to access this page. This is usually the result of an abuse of your editing privileges but could also result from an error on our part. If you think this is a mistake, please contact us.
{% endblock content %}


XPlot
Home Page
Getting started
License (Apache 2.0)
Release Notes
Source Repository
Plotly
Bar
Line and Scatter
Box Plots
Bubble
Contour
Candlesticks
Area
Heatmaps
Histograms
2D Histograms
Polar
Time Series
Multiple Chart Types
Log Plots
3D Scatter
3D Surface
3D Line
Google Charts
Annotation
Area
Bar
Bubble
Calendar
Candlestick
Column
Combo
Gauge
Geo
Histogram
Line
Map
Pie
Sankey
Scatter
Stepped Area
Timeline
Table
Treemap
D3 Charts
Network
{{fsdocs-list-of-namespaces}}
{{fsdocs-collection-name}}
{{fsdocs-content}} {{fsdocs-tooltips}}


--- layout: post title: Episode 090 | Jamie Dixon - Consistently Virtuous link: http://traffic.libsyn.com/developeronfire/DeveloperOnFire-90-JamieDixon.mp3 length: 41943040 speaker: Dave Rael duration: '43:50' subtitle: 'Developer On Fire: Jamie Dixon' guest_name: Jamie Dixon image: /assets/images/JamieDixon.png guest_blog: https://jamessdixon.wordpress.com/ guest_twitter: jamie_dixon disqus_url: http://developeronfire.com/Podcast/Episodes/jamie-dixon-consistently-virtuous episode_number: 90 book_recommendations: - { url: "http://www.amazon.com/dp/038534645X/?tag=devonfir-20", title: "Scrum: The Art of Doing Twice the Work in Half the Time", author: "Jeff Sutherland"} - { url: "http://www.amazon.com/dp/B00LD1RWP6/?tag=devonfir-20", title: "The Wright Brothers", author: "David McCullough"} tags: - { url: "http://www.amazon.com/dp/038534645X/?tag=devonfir-20", title: "Scrum: The Art of Doing Twice the Work in Half the Time", author: "Jeff Sutherland"} - { url: "http://www.amazon.com/dp/B00LD1RWP6/?tag=devonfir-20", title: "The Wright Brothers", author: "David McCullough"} redirect_from: - "/90/" - "/090/" - "/0090/" - "/jamie-dixon-consistently-virtuous/" - "/Jamie-Dixon/" - "/JamieDixon/" - "/Podcast/Episodes/90/" - "/Podcast/Episodes/090/" - "/Podcast/Episodes/0090/" - "/Podcast/Episodes/jamie-dixon-consistently-virtuous/" - "/Podcast/Episodes/Jamie-Dixon/" - "/Podcast/Episodes/JamieDixon/" guid: http://developeronfire.com:80/Podcast/Episodes/jamie-dixon-consistently-virtuous ---
Jamie Dixon has been writing code for as long as he can remember and has been getting paid to do it since 1995. He was using C# and Javascript almost exclusively until discovering F# and now combines all three languages for the problem at hand. He has a passion for discovering overlooked gems in data sets and merging software engineering techniques to scientific computing. Jamie is involved with his local .NET User Group (TRINUG) with an emphasis on data analytics, machine learning, and the internet of things (IoT). He lives in Cary, North Carolina with his wonderful wife Jill and their three awesome children: Sonoma, Sawyer, and Sloan.


Vinit
I am a front-end architect from Ranchi. You can view my works
here.
I love to cook Maggie when I'm not cooking any website.
Presently I am undergraduate at
VIT University Vellore.
Thank You for Visiting!
Ping me at vinitshahdeo@gmail.com


 As for us not so much, so let's get drunk watching them try to achieve their dreams (and let's just be honest, most of them will fail).
Drinking Rules:
Drink Once
- Your country wins bronze metal
- Commercial integrates Olympics into it
- You've never heard of a country before
- Whenever you see an image of Muhammad Ali (RIP)
- If you find yourself watching a sport you only watch every Olympics (Gymnastics, Swimming, Badmiton, etc.)
Drink Twice
- Your country wins silver metal
- Olympic Athelete background story about overcoming odds
- Someone referes to Brazil's political issues, the Zika Virus or the poluted water
- If you find yourself watching a sport for the first time (Sailing, Water Polo, Fencing, etc.)
Drink Trice
- Your country wins gold metal
- You discover a sport you never knew existed
- Someone whipes out, bails or gets injured
- If you find yourself watching a sport you've never head of before (Racewalking, Indoor Cycling, Racewalking, Modern Pentathlon, 3,000-meter Steeplechase, etc.)
Drink It All
- Your country wins all three metals; bronze, silver and gold
- Olympic tourch is lit
- Michael Phelps gets ANOTHER gold metal


Interacting with the datasetd web service can be done with any web client. For documentation purposes I am assuming you are using curl. This command line program is available on most POSIX systems including Linux, macOS and Windows.
This provides a JSON list of collections available from the running datasetd service.
The assumption is that we have datasetd running on port “8485” of “localhost” and a set of collections, “t1” and “t2”, defined in the “settings.json” used at launch.
Use curl to fetch the collections array.
curl http://localhost:8485/collections
In my local setup I have two collections defined, “t1” and “t2” so the array returned looks like
[
"t1",
"t2"
]


Similar to renderToString
, except this doesn't create extra DOM attributes
such as data-reactid
, that React uses internally. This is useful if you want
to use React as a simple static page generator, as stripping away the extra
attributes can save lots of bytes.
Similar to renderToNodeStream
, except this doesn't create extra DOM attributes
such as data-reactid
, that React uses internally. The HTML output by this stream
is exactly equal to what ReactDOMServer.renderToStaticMarkup()
would return.
Render a React element to its initial HTML. This should only be used on the server. React will return an HTML string. You can use this method to generate HTML on the server and send the markup down on the initial request for faster page loads and to allow search engines to crawl your pages for SEO purposes.
If you call ReactDOM.hydrate()
on a node that already has this server-rendered markup,
React will preserve it and only attach event handlers, allowing you
to have a very performant first-load experience.
Generated using TypeDoc
Render a React element to its initial HTML. Returns a Readable stream that outputs an HTML string. The HTML output by this stream is exactly equal to what
ReactDOMServer.renderToString()
would return.


---
layout: default
title: Workshops & Courses
teaser: Ever wanted to learn how to work with bacteria or make your own circuit board? Don't know where to start? Octanis holds regular hands-on workshops on applied sciences and engineering topics in an inclusive environment. We will guide you on your way to a final product that you can take home!
cta: 'Next workshops
'
---


{% extends "base.html" %}
{% block title %}Latest tests {{ super() }}{% endblock %}
{% block body %}
{{ super() }}
Below you can see the overview of the last {{ tests|length }} test runs that were performed:
{% include "test/list_table.html" %}


```js run let room = { number: 23 };
let meetup = { title: “Conference”, occupiedBy: [{name: “John”}, {name: “Alice”}], place: room };
room.occupiedBy = meetup; meetup.self = meetup;
alert( JSON.stringify(meetup, function replacer(key, value) { return (key != "" && value == meetup) ? undefined : value; }));
/* { “title”:“Conference”, “occupiedBy”:[{“name”:“John”},{“name”:“Alice”}], “place”:{“number”:23} } */ ```
Here we also need to test key==""
to exclude the first call where it is normal that value
is meetup
.


This is a simple app to show how to use Signal R and CosmosDB. You can either broadcast messages to all other users, or simulate an long running operation that requires notification on finish (e.g. placing an order). Orders are written to CosmosDB and then 5 seconds later, the submitter will be notified via Signal R that the order has been processed. See README for further information.


Before Change
if 5 in nitrogen_bond_types:
for i, element in enumerate(elements):
if element != "C" and 5 in types[i]:
types[i].sort()
// Aromaticity implies molecular cyclicality, i. e. an
// atom involved in an aromatic system has at least two
// bonds with the aromatic bond type and at most
second_max = types[i][-3]
After Change
// single bonds or a double bond as well
nitrogen_bond_types = types[elements == "N"]
if 5 in nitrogen_bond_types:
nitrogen_indices = np.unique(
np.where(elements == "N")[0]
)
for i in nitrogen_indices:
if 5 in types[i]:
considered_row = types[i]
considered_row.sort()
// Aromaticity implies molecular cyclicality, i. e. an
// atom involved in an aromatic system has at least two
// bonds with the aromatic bond type
// Nitrogen has at most three bonds if involved in an
// aromatic system, where the third bond type is `single`
// Therefore, the presence of a third bond type indicates
// a sp3 hybridisation, whereas the absence of a third
// bond type can be either due to sp2 hybridisation or
// deprotonation
// In order to account for this ambiguity, the charge is
// considered in case that a third bond type is not
// present
try:
considered_row[-3]
bond_types[i] = 1
except IndexError:
nitrogen_charge = charges[i]
if nitrogen_charge == -1:
bond_types[i] = 1
else:
bond_types[i] = 2
damping = 1.0
parameters = _get_parameters(
elements, bond_types, amount_of_binding_partners
)


Holds the CPSW_SS INTD version info. More...
#include <csl_cpsw_ss.h>
Data Fields | |
| Uint32 | scheme |
| Uint32 | bu |
| Uint32 | function |
| Uint32 | rtlVer |
| Uint32 | majorRevision |
| Uint32 | custom |
| Uint32 | minorRevision |
Holds the CPSW_SS INTD version info.
| Uint32 CSL_CPSW_SS_INTD_VERSION::bu |
BU value. Read as zero. Write have no effect
| Uint32 CSL_CPSW_SS_INTD_VERSION::custom |
Custom value
| Uint32 CSL_CPSW_SS_INTD_VERSION::function |
Function value
| Uint32 CSL_CPSW_SS_INTD_VERSION::majorRevision |
Major revision
| Uint32 CSL_CPSW_SS_INTD_VERSION::minorRevision |
Minor revision
| Uint32 CSL_CPSW_SS_INTD_VERSION::rtlVer |
RTL version for instantiated IP
| Uint32 CSL_CPSW_SS_INTD_VERSION::scheme |
Scheme value


Momentum is an intertial quantity that can be measured
using the following equation:
p = mv
Because momentum is related to inertia, there is always a conservation of momentum
when objects collide.
Inertia, in the physical sense,
is the resistance to change in motion. In this case, momentum is transferred
between objects in an isolated system (meaning there are no external forces).
This is known as the Law of Conservation of Momentum.
This conservation can modeled using the following equation:
pi = pf
Elastic Collisions
An elastic collision is a collision in which there is no net loss of kinetic energy.
Thus, there is both a conservation of momentum and kinetic energy. In this case, if a ball
were to collide with a surface elastically, the ball should return with the same speed but in
the opposite direction. Since velocity is a vector, the momentum will have the same magnitude but opposite sign.
A new equation must be formulated for this collisions to follow the law of conservation of momentum.
Assuming that there is no change in mass (collisions often result in a loss of mass as thermal energy),
an elastic collision between two objects can be represented accordingly:
m1v1i + m2v2i
=
m1v1f + m2v2f
In other words, it is just the expanded version of
Δp1 = −Δp2


|
|
void | clear () |
| |
|
void | processBins (const QVector< QPointF > &bins) |
| |
|
void | needUpdate () |
| |
|
void | setFrozen (bool state) |
| |
|
|
void | currentCursorPosition (const QPointF &pos) |
| |
Definition at line 26 of file SpectrographWidget.h.
| SpectrographWidget::SpectrographWidget |
( |
QWidget * |
parent = 0 | ) |
|
| QGLFormat SpectrographWidget::GetGLFormat |
( |
| ) |
|
|
static |
Obtain the OpenGL configuration we want to use.
- Returns
- OpenGL format
Definition at line 123 of file SpectrographWidget.cc.
The documentation for this class was generated from the following files:


LKCompiler
@interface LKCompiler : NSObject {
id<LKCompilerDelegate> delegate;
}
Abstract class implementing a dynamic language compiler. Concrete subclasses provide implementations for specific languages.
-
Undocumented
Declaration
Objective-C
id<LKCompilerDelegate> delegate
-
Undocumented
Declaration
Objective-C
@property(nonatomic, retain) NSMutableArray *transforms
Swift
var transforms: NSMutableArray! { get set }
-
Sets the default delegate that will be used by new compiler instances. If this is not called then a default delegate will be installed that just logs errors and warnings to the console.
Declaration
Objective-C
+ (void)setDefaultDelegate:(id<LKCompilerDelegate>)aDelegate;
Swift
class func setDefaultDelegate(_ aDelegate: LKCompilerDelegate!)
-
Sets the delegate for this compiler. The delegate is responsible for handling errors and warnings that occur during the semantic analysis of the program.
Declaration
Objective-C
- (void)setDelegate:(id<LKCompilerDelegate>)aDelegate;
Swift
func setDelegate(_ aDelegate: LKCompilerDelegate!)
-
Adds a new class loader. These will be called in the order that they appear.
Declaration
Objective-C
+ (void)addClassLoader:(LKClassLoader)aBlock;
Swift
class func addClassLoader(_ aBlock: LKClassLoader!)
-
Returns a new autoreleased compiler for this language.
Declaration
Objective-C
+ (LKCompiler *)compiler;
-
Returns whether we are in developer mode. In this mode, all unrecognised symbols are assumed to be classes.
Declaration
Objective-C
+ (BOOL)inDevMode;
Swift
class func inDevMode() -> Bool
-
Specifies whether the compiler should run in debug mode. Enabling this will spam stderr with a huge amount of debugging information. Note that this is a global setting and will apply to all compilers.
Declaration
Objective-C
+ (void)setDebugMode:(LKDebuggingMode)aFlag;
Swift
class func setDebugMode(_ aFlag: LKDebuggingMode)
-
Compiles the specified source code using the given code generator. Returns the AST on success, nil on failure.
Declaration
Objective-C
- (LKAST *)compileString:(NSString *)source withGenerator:(id<LKCodeGenerator>)cg;
-
Compiles and loads a method on the class with the specified name.
Declaration
Objective-C
- (BOOL)compileMethod:(NSString *)source onClassNamed:(NSString *)name;
Swift
func compileMethod(_ source: String!, onClassNamed name: String!) -> Bool
-
Compiles a method to LLVM bitcode for the class with the specified name.
Declaration
Objective-C
- (BOOL)compileMethod:(NSString *)source onClassNamed:(NSString *)name output:(NSString *)bitcode;
Swift
func compileMethod(_ source: String!, onClassNamed name: String!, output bitcode: String!) -> Bool
-
Compiles a method on the class with the specified name using the given code generator.
Declaration
Objective-C
- (BOOL)compileMethod:(NSString *)source onClassNamed:(NSString *)name withGenerator:(id<LKCodeGenerator>)cg;
-
Load a framework with the specified name.
Declaration
Objective-C
+ (BOOL)loadFrameworkNamed:(NSString *)framework;
Swift
class func loadFrameworkNamed(_ framework: String!) -> Bool
-
Compiles and loads a file from the specified bundle. The file name extension will be used to select a suitable compiler.
Declaration
Objective-C
+ (BOOL)loadScriptNamed:(NSString *)fileName fromBundle:(NSBundle *)bundle;
Swift
class func loadScriptNamed(_ fileName: String!, from bundle: Bundle!) -> Bool
-
Compiles and loads a file from the specified bundle. Omit the extension in the name paramater.
Declaration
Objective-C
- (BOOL)loadScriptNamed:(NSString *)fileName fromBundle:(NSBundle *)bundle;
Swift
func loadScriptNamed(_ fileName: String!, from bundle: Bundle!) -> Bool
-
Compiles and loads a file from the application bundle. The file name extension will be used to select a suitable compiler.
Declaration
Objective-C
+ (BOOL)loadApplicationScriptNamed:(NSString *)fileName;
Swift
class func loadApplicationScriptNamed(_ fileName: String!) -> Bool
-
Compiles and loads a file from the application bundle. Omit the extension in the name paramater.
Declaration
Objective-C
- (BOOL)loadApplicationScriptNamed:(NSString *)name;
Swift
func loadApplicationScriptNamed(_ name: String!) -> Bool
-
Loads all scripts for all known languages from the specified bundle.
Declaration
Objective-C
+ (BOOL)loadScriptsFromBundle:(NSBundle *)aBundle;
Swift
class func loadScripts(from aBundle: Bundle!) -> Bool
-
Loads all scripts written in this language from the specified bundle.
Declaration
Objective-C
- (BOOL)loadScriptsFromBundle:(NSBundle *)aBundle;
Swift
func loadScripts(from aBundle: Bundle!) -> Bool
-
Loads all scripts for all known languages from the application bundle.
Declaration
Objective-C
+ (BOOL)loadAllScriptsForApplication;
Swift
class func loadAllScriptsForApplication() -> Bool
-
Loads all scripts written in this language from the application bundle.
Declaration
Objective-C
- (BOOL)loadAllScriptsForApplication;
Swift
func loadAllScriptsForApplication() -> Bool
-
Loads a bundle containing an LKInfo.plist file. This should contain a Source key giving an array of source files in the order in which they should be compiled, a Frameworks key giving an array of frameworks and a Classes key for declaring classes being compile in other to resolve symbols correctly
Declaration
Objective-C
+ (BOOL)compileLanguageKitBundle:(NSBundle *)bundle output:(NSString *)bitcode;
Swift
class func compileLanguageKitBundle(_ bundle: Bundle!, output bitcode: String!) -> Bool
-
Loads a bundle containing an LKInfo.plist file. This should contain a Source key giving an array of source files in the order in which they should be compiled, a Frameworks key giving an array of frameworks, a Classes key for declaring classes being load in other to resolve symbols correctly and a PrincipalClass key for the class that should be instantiated when it is loaded.
Returns (Class)-1 in case of error, or the principal class if loading succeeds (Nil if no principal class is specified).
Declaration
Objective-C
+ (Class)loadLanguageKitBundle:(NSBundle *)bundle;
Swift
class func loadLanguageKitBundle(_ bundle: Bundle!) -> AnyClass!
-
Loads all of the LanguageKit plugins for the current application.
Declaration
Objective-C
+ (BOOL)loadAllPlugInsForApplication;
Swift
class func loadAllPlugInsForApplication() -> Bool
-
Attempts to parse a C header. Returns YES on success, NO on failure. Failure can be caused by an inability to locate the header or by SourceCodeKit not being available.
Declaration
Objective-C
+ (BOOL)loadHeader:(NSString *)aHeader;
Swift
class func loadHeader(_ aHeader: String!) -> Bool
-
Attempts to load a library from an absolute path or one of the standard library locations.
Declaration
Objective-C
+ (BOOL)loadLibrary:(NSString *)aLibrary;
Swift
class func loadLibrary(_ aLibrary: String!) -> Bool
-
Returns the extension used for scripts in this language. Implemented by subclasses.
Declaration
Objective-C
+ (NSString *)fileExtension;
Swift
class func fileExtension() -> String!
-
Returns the name of the language supported by this compiler. Implemented by subclasses.
Declaration
Objective-C
+ (NSString *)languageName;
Swift
class func languageName() -> String!
-
Returns the languages for which compilers are currently supported.
Declaration
Objective-C
+ (NSArray *)supportedLanguageNames;
Swift
class func supportedLanguageNames() -> [Any]!
-
Returns the compiler for a named language.
Declaration
Objective-C
+ (Class)compilerForLanguage:(NSString *)aLanguage;
Swift
class func compiler(forLanguage aLanguage: String!) -> AnyClass!
-
Returns the compiler for files with a given extension.
Declaration
Objective-C
+ (Class)compilerClassForFileExtension:(NSString *)anExtension;
Swift
class func compilerClass(forFileExtension anExtension: String!) -> AnyClass!
-
Returns the parser used by this language. Declaration
Objective-C
+ (Class)parserClass;
Swift
class func parserClass() -> AnyClass!
-
Reports the given warning and returns YES if recovery should proceed.
Declaration
Objective-C
+ (BOOL)reportWarning:(NSString *)aWarning details:(NSDictionary *)info;
Swift
class func reportWarning(_ aWarning: String!, details info: [AnyHashable : Any]!) -> Bool
-
Reports the given error and returns YES if recovery should proceed.
Declaration
Objective-C
+ (BOOL)reportError:(NSString *)aWarning details:(NSDictionary *)info;
Swift
class func reportError(_ aWarning: String!, details info: [AnyHashable : Any]!) -> Bool
-
Undocumented
Declaration
Objective-C
+ (void) justTooLateCompileBundle: (NSBundle*)aBundle;
Swift
class func justTooLateCompileBundle(_ aBundle: Bundle!)
-
Link LKModule into a library.
Declaration
Objective-C
+ (NSString *)linkBitcodeFiles:(NSMutableArray *)files outputDir:(NSString *)dir outputFile:(NSString *)fileName;
Swift
class func linkBitcodeFiles(_ files: NSMutableArray!, outputDir dir: String!, outputFile fileName: String!) -> String!


{% include "items/header.html" %} {% include "items/projects.html" %} {% include "items/footer.html" %}


Springboks reveal who they will face in their first matches since RWC triumph
by Online EditorsWorld Cup winners South Africa have confirmed who they will face in 2020 in their first matches as champions.
Having lifted the trophy in Yokohama at the start of November and embarked on a champions tour of their country, Springboks rugby has been basking in the limelight and they have now revealed who Rassie Erasmus’ yet-to-be-announced successor will take on next July.
The Springboks will face Scotland and Georgia in three home Tests in the new international window, as part of the Castle Lager Incoming Series match schedule.
The newly-crowned World Cup champions are scheduled to play two Tests against Scotland – July 4 and 11 – before hosting Georgia on July 18.
It will be the Scots’ first visit to South Africa since June 2014, when the Boks beat them 55-6 in Port Elizabeth.
(Continue reading below…)
The Springboks and Georgia have only met once before, in a pool match at the World Cup in 2003 in Sydney when South Africa won 46-19.
SA Rugby will confirm the venues and kick-off times of the three matches at a later stage.
WATCH: RugbyPass Rugby Explorer takes a trek through South African rugby, visiting Cape Town and Port Elizabeth


Numpy statistical functionsNumpy provides various statistical functions which are used to perform some statistical data analysis. In this section of the tutorial, we will discuss the statistical functions provided by the numpy. Finding the minimum and maximum elements from the arrayThe numpy.amin() and numpy.amax() functions are used to find the minimum and maximum of the array elements along the specified axis respectively. Consider the following example. ExampleOutput: The original array: [[ 2 10 20] [80 43 31] [22 43 10]] The minimum element among the array: 2 The maximum element among the array: 80 The minimum element among the rows of array [ 2 10 10] The maximum element among the rows of array [80 43 31] The minimum element among the columns of array [ 2 31 10] The maximum element among the columns of array [20 80 43] numpy.ptp() functionThe name of the function numpy.ptp() is derived from the name peak-to-peak. It is used to return the range of values along an axis. Consider the following example. ExampleOutput: Original array: [[ 2 10 20] [80 43 31] [22 43 10]] ptp value along axis 1: [18 49 33] ptp value along axis 0: [78 33 21] numpy.percentile() functionThe syntax to use the function is given below. It accepts the following parameters.
Consider the following example. ExampleOutput: Array: [[ 2 10 20] [80 43 31] [22 43 10]] Percentile along axis 0 [ 6. 16.6 12. ] Percentile along axis 1 [ 3.6 33.4 12.4] Calculating median, mean, and average of array itemsThe numpy.median() function:Median is defined as the value that is used to separate the higher range of data sample with a lower range of data sample. The function numpy.median() is used to calculate the median of the multi-dimensional or one-dimensional arrays. The numpy.mean() function:The mean can be calculated by adding all the items of the arrays dividing by the number of array elements. We can also mention the axis along which the mean can be calculated. The numpy.average() function:The numpy.average() function is used to find the weighted average along the axis of the multi-dimensional arrays where their weights are given in another array. Consider the following example. Example
Next TopicNumPy Sorting and Searching
|
Numpy statistical functionsNumpy provides various statistical functions which are used to perform some statistical data analysis. In this section of the tutorial, we will discuss the statistical functions provided by the numpy. Finding the minimum and maximum elements from the arrayThe numpy.amin() and numpy.amax() functions are used to find the minimum and maximum of the array elements along the specified axis respectively. Consider the following example. ExampleOutput: The original array: [[ 2 10 20] [80 43 31] [22 43 10]] The minimum element among the array: 2 The maximum element among the array: 80 The minimum element among the rows of array [ 2 10 10] The maximum element among the rows of array [80 43 31] The minimum element among the columns of array [ 2 31 10] The maximum element among the columns of array [20 80 43] numpy.ptp() functionThe name of the function numpy.ptp() is derived from the name peak-to-peak. It is used to return the range of values along an axis. Consider the following example. ExampleOutput: Original array: [[ 2 10 20] [80 43 31] [22 43 10]] ptp value along axis 1: [18 49 33] ptp value along axis 0: [78 33 21] numpy.percentile() functionThe syntax to use the function is given below. It accepts the following parameters.
Consider the following example. ExampleOutput: Array: [[ 2 10 20] [80 43 31] [22 43 10]] Percentile along axis 0 [ 6. 16.6 12. ] Percentile along axis 1 [ 3.6 33.4 12.4] Calculating median, mean, and average of array itemsThe numpy.median() function:Median is defined as the value that is used to separate the higher range of data sample with a lower range of data sample. The function numpy.median() is used to calculate the median of the multi-dimensional or one-dimensional arrays. The numpy.mean() function:The mean can be calculated by adding all the items of the arrays dividing by the number of array elements. We can also mention the axis along which the mean can be calculated. The numpy.average() function:The numpy.average() function is used to find the weighted average along the axis of the multi-dimensional arrays where their weights are given in another array. Consider the following example. Example
Next TopicNumPy Sorting and Searching
|
Numpy statistical functionsNumpy provides various statistical functions which are used to perform some statistical data analysis. In this section of the tutorial, we will discuss the statistical functions provided by the numpy. Finding the minimum and maximum elements from the arrayThe numpy.amin() and numpy.amax() functions are used to find the minimum and maximum of the array elements along the specified axis respectively. Consider the following example. ExampleOutput: The original array: [[ 2 10 20] [80 43 31] [22 43 10]] The minimum element among the array: 2 The maximum element among the array: 80 The minimum element among the rows of array [ 2 10 10] The maximum element among the rows of array [80 43 31] The minimum element among the columns of array [ 2 31 10] The maximum element among the columns of array [20 80 43] numpy.ptp() functionThe name of the function numpy.ptp() is derived from the name peak-to-peak. It is used to return the range of values along an axis. Consider the following example. ExampleOutput: Original array: [[ 2 10 20] [80 43 31] [22 43 10]] ptp value along axis 1: [18 49 33] ptp value along axis 0: [78 33 21] numpy.percentile() functionThe syntax to use the function is given below. It accepts the following parameters.
Consider the following example. ExampleOutput: Array: [[ 2 10 20] [80 43 31] [22 43 10]] Percentile along axis 0 [ 6. 16.6 12. ] Percentile along axis 1 [ 3.6 33.4 12.4] Calculating median, mean, and average of array itemsThe numpy.median() function:Median is defined as the value that is used to separate the higher range of data sample with a lower range of data sample. The function numpy.median() is used to calculate the median of the multi-dimensional or one-dimensional arrays. The numpy.mean() function:The mean can be calculated by adding all the items of the arrays dividing by the number of array elements. We can also mention the axis along which the mean can be calculated. The numpy.average() function:The numpy.average() function is used to find the weighted average along the axis of the multi-dimensional arrays where their weights are given in another array. Consider the following example. Example
Next TopicNumPy Sorting and Searching
|
Numpy statistical functionsNumpy provides various statistical functions which are used to perform some statistical data analysis. In this section of the tutorial, we will discuss the statistical functions provided by the numpy. Finding the minimum and maximum elements from the arrayThe numpy.amin() and numpy.amax() functions are used to find the minimum and maximum of the array elements along the specified axis respectively. Consider the following example. ExampleOutput: The original array: [[ 2 10 20] [80 43 31] [22 43 10]] The minimum element among the array: 2 The maximum element among the array: 80 The minimum element among the rows of array [ 2 10 10] The maximum element among the rows of array [80 43 31] The minimum element among the columns of array [ 2 31 10] The maximum element among the columns of array [20 80 43] numpy.ptp() functionThe name of the function numpy.ptp() is derived from the name peak-to-peak. It is used to return the range of values along an axis. Consider the following example. ExampleOutput: Original array: [[ 2 10 20] [80 43 31] [22 43 10]] ptp value along axis 1: [18 49 33] ptp value along axis 0: [78 33 21] numpy.percentile() functionThe syntax to use the function is given below. It accepts the following parameters.
Consider the following example. ExampleOutput: Array: [[ 2 10 20] [80 43 31] [22 43 10]] Percentile along axis 0 [ 6. 16.6 12. ] Percentile along axis 1 [ 3.6 33.4 12.4] Calculating median, mean, and average of array itemsThe numpy.median() function:Median is defined as the value that is used to separate the higher range of data sample with a lower range of data sample. The function numpy.median() is used to calculate the median of the multi-dimensional or one-dimensional arrays. The numpy.mean() function:The mean can be calculated by adding all the items of the arrays dividing by the number of array elements. We can also mention the axis along which the mean can be calculated. The numpy.average() function:The numpy.average() function is used to find the weighted average along the axis of the multi-dimensional arrays where their weights are given in another array. Consider the following example. Example
Next TopicNumPy Sorting and Searching
|


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Add your project to LibreCores
Adding your project to LibreCores is easy: just give us the name of your project and the location of the source code, and we'll take care of the rest.
Adding your project to LibreCores is easy: just give us the name of your project and the location of the source code, and we'll take care of the rest.


Google Kubernetes Engine
All the relevant information can be found in Cluster Details page of specific cluster.
GKE use Basic Authentication with CA Certificate, make sure to enable both ticks.
- URL - Google cluster Endpoint IP Address with 'https://' protocol - https://<IP_ADDRESS>
- User - Shown after pressing "Show Credentials"
- Password - Shown after pressing "Show Credentials"
- CA Cert - Shown after pressing "Show Credentials"
Rancher v2
Authentication to Kubernetes under Rancher 2 is done via Rancher API Authentication with API Key (Official Documentation).
Create new API Key in Rancher Console:
- Select User Avatar > API & Keys from the User Settings menu in the upper-right
- Click Add Key
- Write API Key description, like - Heili Access
- Select specific Cluster under Scope
- Click Create
- Copy Access Key and Secret Key
Retrive API Endpoint URL:
- Select specific Cluster
- Click on Kubeconfig file button
- Copy URL under "server"
Select Basic Auth tick and fill following information:
- URL - API Endpoint URL from Kubeconfig file
- User - Rancher API Access Key
- Password - Rancher API Secret Key


- Allows users to watch YouTube alongside their peeers
- If one user pauses, rewinds, or applies any changes on the video then every other user in that session receives the same changes
- Created using node.js, express.js, and socket.io
- Gives users information related to their currently opened positions, watchlist, and indepth view of their portfolio
- The platform is does not provide financial advise, it does however provide users with data about their stocks using their profile.
- Created using node.js, express.js, and MongoDB


Stonks Market
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---
title: 'PHPWM Presentation on Phergie'
date: '2011-11-09 14:15:31'
layout: post
slug: phpwm-presentation-on-phergie
categories:
- Articles
tags: { }
---
Alex Mace gave a presentation at a recent PHPWM user group meeting on Phergie and the XMPP driver he's been developing for her. It's a great quick high-level overview of Phergie's history and architecture and Alex's experiences in implementing the XMPP driver.


{{quote?.quote}}
quote by:
{{quote?.quoteBy}}
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Touch Editor JS - Documentation
Hurry Up! Show me the code!
If you want something to copy and paste and want to skip the explanation, jump to the Usage section.
License
Touch Editor and DOM Writer are both released under the MIT License.
About Touch Editor
Touch Editor was created to make applying styling and linking to HTML text input easier on touch screen devices. Essentially, this is a multi-line input textbox with some HTML tag support.
On the UI side, text selection on touch devices is cumbersome and clunky. The manual dexterity needed when dragging a text selection handle combined with the limited screen real estate of a typical smart phone or tablet makes the task of applying styling frustrating.
From the technical side, the text range object in Javascript has, in my experience, been problematic in cross-browser situations and more often than not, the HTML that is generated is bloated and inconsistent.
The solution to both of these was to give the user a contenteditable section of HTML with a touch mode for styles and links. When in touch mode, the text is enlarged and the spacing increased to allow easy selection of the words you want to apply or a unapply a tag. And because the code doesn't rely on any native browser tag insertions or removals, it's able to produce cleaner, smaller markup.
Limitations
Tags
Touch Editor is not meant to be as robust as TinyMCE or Aloha. It supports a small set of tags and is geared toward light text editing, not the full set of HTML elements.
Tags supported:
A, STRONG, EM, STRIKE, U, BLOCKQUOTE
There is no support for class names or other attributes on a tag at this time. This means that if you'd like to use the EM tag for both italics and underlining to remain HTML5-compliant, you cannot do this.
Word Selection
Only "whole words" can by styled or linked, not individual letters. So if you wanted to italicize only, "freaking," in the word, "absofreakinglutely," Touch Editor doesn't support that.
One Instance
Only one Touch Editor may be instantiated on the page at this time.
How It Works
On a broad level, Touch Editor takes page markup that is wrapped in a contenteditable attribute DIV and when it enters touch mode, converts the markup to a JSON data structure. This data structure is then manipulated after words are selected or unselected and is finally run through a function to intelligently write out the HTML. The JSON data structure ends up being "dumb" and the HTML writer "smart."
JSON Data Structure
The JSON data structure representing the HTML groups all text with a common tag or set of tags in the order they appear in the HTML. For example:

Hello World. How are you?

This would result in 3 elements in the JSON.
- The word "Hello" with a P tag.
- The word "World" with a P tag and a STRONG tag.
- The words "How are you?" with a P tag.
Now let's say during touch mode the user were to unselect the strong tag, which should remove the strong tag from the word "World." This would result in 1 element in the JSON.
- The words "Hello World. How are you?" with a P tag.
Sample JSON Data Structure
The following JSON represents one element, which is one or more "words" that share a common tag or set of tags, in the markup. This is the words "Foo Bar" that are wrapped in P, A, and STRONG tags. Each tag is represented in the array for the element with the last 2 items in the array being special identifiers.
The second to last item in the array is the text string and the last item is an array of all tags/nodes. The "nodes" array is specifically for make writing out the finalized HTML faster and easier. The order of the tags in the "nodes" array is the same order in the parent array.
The first tag in this element, the P tag, has an extra property, "close." This signals to the HTML writer that any previous P tag should be closed before this one is opened. The reason this is done is the logic in the HTML writer attempts to minimize the number of tags used. For example, if the HTML had 2 separate STRONG tags as siblings, the HTML writer would rewrite them as one. Since a P tag is a specific block level element that affects the visual display of the text, it's important not to compact those tags into one.
[ [ { "close": "1", "tag": "p" }, { "attrs": { "href": "http://www.github.com" }, "tag": "a" }, { "tag": "strong" }, { "text": "Foo Bar" }, { "nodes": [ "p", "a:http://www.github.com", "strong" ] } ] ]
Touch Mode
During touch mode, there are 2 sets of HTML. The interactive markup that is used strictly for making communicating the user's changes to JSON data structure easy and the finalized markup that is generated by Touch Editor from the JSON data structure.
The interactive markup begins with the markup on the page and then wraps a SPAN with a click handler for every single text node, or "word." A single space is used as a token separator for these SPANs. The index for each element, as described above, in the JSON DOM array is added as an ID attribute in a parent SPAN. These 2 pieces of information are used to alter the JSON data structure to add, remove, or update a tag.
Touch Editor works with DOM Writer, which is responsible for managing the JSON data structure and the intelligent HTML output from the data structure. Once a user has made their selections in the user interface and hits the Apply button, DOM Writer's public methods are called against the word(s) and element(s) in the JSON data structure. Finally, the JSON data structure is run through the writeHTML method where Touch Editor receives it and inserts it back on to the page.
Touch Editor Public Methods:
-
init(dom_element:string | jquery_object, options:json)
Return: none
Initalize the Touch Editor and place it at the location on the page where the specified dom_element argument exists.
The dom_element is kept on the page, but its CSS properties are set to 0 opacity and 1 pixel height and width and it is made a child of the Touch Editor toolbar. The dom_element is kept on page in case you would like to use something like a form textarea tag as the dom_element. On submit of the form, you could call the Touch Editor's public get methods to set the value of the textarea.
Options
noToolbarFollow : boolean
When true, the toolbar icons along the right side of the Touch Editor textbox will not stay on screen as the user scrolls through a long textbox. Default is false.initJSON : string
A string representing the JSON data structure. Use this to pre-populate the Touch Editor instance. The HTML output from this initialization is sanitized using a whitelist of approved tags to prevent cross-site scripting attacks. If you want to pre-poplate the Touch Editor textbox with HTML and not the JSON, make sure it is being sanitized on the back-end. -
getJSON(stringify:boolean)
Return: JSON object | String
Returns the JSON data structure in the Touch Editor. The default return value is a JSON object. If the stringify argument is true, a string representation of the JSON object is returned.
-
getHTML()
Return: String
Returns the HTML in the Touch Editor.
DOM Writer Public Methods:
-
parseHTML(dom_element:jquery_object)
Return: JSON object
Converts a JQuery object's inner HTML into a custom JSON data structure.
-
writeHTML()
Return: String
Converts the JSON data structure into clean, compacted HTML.
-
addTag(elementId:integer, textNodeNumber:integer, textNodeCount:integer, tagName:string, tagAttributes:json object)
Return: Integer : Count of new nodes added to JSON data structure
Add a tag to one or more words in a single element in the JSON data structure.
The argument textNodeNumber is the index position of the first text node, from left to right, in the set of affected text nodes from the END of the length of total nodes, not zero-based.
Example: ["This", "is", "a", "set", "of", "text", "nodes"]
To change "of text", the arguments would be: textNodeNumber = 3 and textNodeCount = 2
The reason the indexing is from the end of the array is because new nodes may have been added to the same elementId, which increases the total number of text nodes. -
removeTag(elementId:integer, textNodeNumber:integer, textNodeCount:integer, tagName:string)
Return: String
Remove a tag from one or more words in a single element in the JSON data structure.
The argument textNodeNumber is the index position of the first text node, from left to right, in the set of affected text nodes from the END of the length of total nodes, not zero-based.
Example: ["This", "is", "a", "set", "of", "text", "nodes"]
To change "of text", the arguments would be: textNodeNumber = 3 and textNodeCount = 2
The reason the indexing is from the end of the array is because new nodes may have been added to the same elementId, which increases the total number of text nodes. -
updateAttributes(elementIds:array, tagName:string, tagAttributes:json object)
Return: String
Change the attributes of a tag for the given set of element IDs in the JSON data structure. No new elements are added or removed using this method.
In Touch Editor, this method is only used to change the HREF attribute of the A tag.
Usage
To instantiate Touch Editor:

Make Touch Editor work in a form:

Storing HTML Data
It's not recommended that you store the HTML that lives in the contenteditable DIV to your database. While Touch Editor sanitizes the HTML when it's converted from JSON to HTML, the HTML on the page is always under user control and cannot be trusted.
You have three options for displaying the user-created HTML.
- Store the HTML server-side: You can take the HTML that comes from the form and sanitize it on the back-end to strip out any possible cross-site scripting tags.
- Store the HTML server-side: You can run DOMWriter's writeHTML method on the server-side using Node.js against the JSON data structure that comes in through the form.
- Write the HTML client-side: This is the slowest performer, but you could store only the JSON data structure from the form and use DOMWriter's setDomJSON and writeHTML methods to display the HTML.
Known issues
- When applying a style or link, one space at the end of the last word is included. This will make an underline or strike-through extend too long.


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College suspends teacher after explicit content appeared on classroom smartboard
An investigation is now taking place
by Matt JarramA teacher has been suspended after posting the contents of an explicit email intended for their partner on a classroom smartboard.
West Nottinghamshire College in Mansfield has suspended the teacher while an investigation takes place.
Andrew Cropley, principal and chief executive of West Nottinghamshire College, said: "I can confirm an incident took place in an A-level sociology class whereby a private email from a tutor, containing explicit content intended for another adult, believed to be his partner, was inadvertently displayed on a smartboard and seen by students.
"The college acted swiftly by immediately suspending the tutor, pending the outcome of an investigation.
"Clearly, this was wholly inappropriate conduct that fell significantly below the high professional standards expected of all our staff.
"I have written to the students and their parents and guardians to offer my sincerest and unreserved apologies."
"However, although deeply regrettable, it is important to stress this was an isolated incident that in no way reflects the behaviour, conduct and care exercised by our teaching staff day in, day out."
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Wyoming National Park
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Resources¶
Each API endpoint requires a resource. This usually defines the owner of the data.
Usually you will work with the default ‘ME’ resuorce, but you can also use one of the following:
‘me’: the user which has given consent. the default for every protocol.
<EMAIL_ADDRESS>a shared mailbox or a user account for which you have permissions. If you don’t provide ‘user:’ will be inferred anyways.
‘sharepoint:sharepoint-site-id’: a sharepoint site id.
‘group:group-site-id’: a office365 group id.
ME is the default resource used everywhere in this library. But you can change this behaviour by providing it to Protocol constructor.
This can be done however at any point (Protocol / Account / Mailbox / Message ..). Examples can be found in their respective documentation pages
Protocols¶
A protocol is just an interface to specify various options related to an API set, like base url, word case used for request and response attributes etc..
This project has two different set of API’s inbuilt (Office 365 APIs or Microsoft Graph APIs)
But, you can use many other Microsoft APIs as long as you implement the protocol needed.
You can use one or the other:
MSGraphProtocol to use the Microsoft Graph API
MSOffice365Protocol to use the Office 365 API
Choosing between Graph vs Office365 API¶
Reasons to use MSGraphProtocol:
It is the recommended Protocol by Microsoft.
It can access more resources over Office 365 (for example OneDrive)
Reasons to use MSOffice365Protocol:
It can send emails with attachments up to 150 MB. MSGraph only allows 4MB on each request.
For more details, check Graph vs Outlook API
Note
The default protocol used by the Account Class is MSGraphProtocol.
You can implement your own protocols by inheriting from Protocol to communicate with other Microsoft APIs.
Initialing Protocol¶
Using Graph Beta API
from O365 import MSGraphProtocol
# try the api version beta of the Microsoft Graph endpoint.
protocol = MSGraphProtocol(api_version='beta') # MSGraphProtocol defaults to v1.0 api version
Using Shared User Account
from O365 import MSGraphProtocol
protocol =<EMAIL_ADDRESS>Utilizing a Protocol Instance¶
Protocol itself does not do anything job, it has to be plugged into this library api using Account class
from O365 import Account, MSGraphProtocol
my_protocol = MSGraphProtocol('beta'<EMAIL_ADDRESS>account = Account(credential=('<client_id>', '<client_secret>', protocol=my_protocol))


Python
Endorsed by Felipe Dornelas and 5 others who are highly skilled at this
Endorsed by 8 of Dhiana’s colleagues at ThoughtWorks
Software Development
Endorsed by Felipe Dornelas and 2 others who are highly skilled at this
Endorsed by 6 of Dhiana’s colleagues at ThoughtWorks
C++
Endorsed by Danilo Ferreira de Lima and 2 others who are highly skilled at this
Endorsed by 2 of Dhiana’s colleagues at Concrete Solutions


Here I will make a simple Calculator. which will contain all the frequently used mathematical functions.
So that anybody can use if required if they feel the need
This is a back ground image with facebook link
| Name Of Function | Type Of Function | What it does? |
|---|---|---|
| sin(Angle) | Trigonometric Function | It is the ratio of height and hypotaneous of a right angled triangle. |
| It is always less than one. |


Interface IMediaSession
Offering and Answering SDP messages so that it can be
signaled to the other party using the SIPUserAgent.
The implementing class is responsible for ensuring that the client
can send media to the other party including creating and managing
the RTP streams and processing the audio and video.
Assembly: SIPSorcery.dll
public interface IMediaSession
Properties
|
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Declaration
Property Value
| Type |
Description |
| System.Boolean |
|
|
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Declaration
Property Value
| Type |
Description |
| System.Boolean |
|
|
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Declaration
Property Value
| Type |
Description |
| System.Boolean |
|
|
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Declaration
RTCSessionDescription localDescription { get; }
Property Value
|
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Declaration
RTCSessionDescription remoteDescription { get; }
Property Value
Methods
|
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Declaration
void Close(string reason)
Parameters
| Type |
Name |
Description |
| System.String |
reason |
|
|
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Declaration
Task<SDP> createAnswer(RTCAnswerOptions options)
Parameters
Returns
| Type |
Description |
| System.Threading.Tasks.Task<SDP> |
|
|
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Declaration
Task<SDP> createOffer(RTCOfferOptions options)
Parameters
Returns
| Type |
Description |
| System.Threading.Tasks.Task<SDP> |
|
|
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Declaration
Task SendDtmf(byte tone, CancellationToken ct)
Parameters
| Type |
Name |
Description |
| System.Byte |
tone |
|
| System.Threading.CancellationToken |
ct |
|
Returns
| Type |
Description |
| System.Threading.Tasks.Task |
|
|
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Declaration
void SendMedia(SDPMediaTypesEnum mediaType, uint samplePeriod, byte[] sample)
Parameters
| Type |
Name |
Description |
| SDPMediaTypesEnum |
mediaType |
|
| System.UInt32 |
samplePeriod |
|
| System.Byte[] |
sample |
|
|
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Declaration
void setLocalDescription(RTCSessionDescription sessionDescription)
Parameters
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Declaration
void setRemoteDescription(RTCSessionDescription sessionDescription)
Parameters
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Declaration
Returns
| Type |
Description |
| System.Threading.Tasks.Task |
|
Events
|
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Fired when the RTP channel is closed.
Declaration
event Action<string> OnRtpClosed
Event Type
| Type |
Description |
| System.Action<System.String> |
|
|
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Fired when an RTP event (typically representing a DTMF tone) is
detected.
Declaration
event Action<RTPEvent> OnRtpEvent
Event Type
| Type |
Description |
| System.Action<RTPEvent> |
|
|
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Fired when a media RTP packet is received.
Declaration
event Action<SDPMediaTypesEnum, RTPPacket> OnRtpPacketReceived
Event Type
|
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Fired when a video sample is ready for rendering.
[sample, width, height, stride]
Declaration
event Action<byte[], uint, uint, int> OnVideoSampleReady
Event Type
| Type |
Description |
| System.Action<System.Byte[], System.UInt32, System.UInt32, System.Int32> |
|


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Data Feed: SplitsFeed
Category: EntityExtenderFeed
| Field | Security Property | Type | Description |
|---|---|---|---|
| --- Required Fields --- | |||
| entityId | - | String | any valid security identifier |
| date | - | Date | date of split |
| rate | rawSplitFactor | Number | rate of split |
SplitsFeed enableSplitInversion;By default the inversion flag has been disabled.
The following tab-delimited feed could be used to update splits.
Related Feeds:
Sample Upload:
Interface ExternalFeedManager upload: "SplitsFeed" using:
"entityId date rate
00079410 19930205 1.50000
00079410 19960809 1.50000
00512510 19921201 2.00000
00512510 19950111 2.00000
00512510 19961112 2.00000
" ;
| Copyright © 1998 Innovative Systems Techniques, Inc. | Updated December 31, 1999 |


Find subnetworks of differentially expressed genes and identify associated biological functions |
Added by GenomeSpaceTeam on 2015.03.16
Last updated on over 3 years ago.
What subnetworks of differentially expressed genes are enriched in my samples? What biological functions are they related to?
This recipe provides a method for identifying differentially expressed genes between two phenotypes, such as tumor and normal, to find subnetworks of interacting proteins and determine their functional annotations. An example use of this recipe is a case where an investigator may want to compare two phenotypes to determine which gene networks are similar between phenotypes, and to determine how functional annotation changes between phenotypes.
In particular, this recipe makes use of several GenePattern modules to identify differentially regulated genes, then uses several Cytoscape plugins to identify potential interactions between gene products, and to visualize the resulting network.
Why differential expression analysis? We assume that most genes are not expressed all the time, but rather are expressed in specific tissues, stages of development, or under certain conditions. Genes which are expressed in one condition, such as cancer tissue, are said to be differentially expressed when compared to normal conditions. To identify which genes change in response to specific conditions (e.g. cancer), we must filter or process the dataset to remove genes which are not informative.
Why protein interaction network analysis? Gene expression analysis results in a list of differentially expressed genes, but it does not explain whether these genes are connected biologically in a pathway or network. To better understanding the underlying biology that drives changes in gene expression analysis, we can perform network analysis to determine whether gene products (e.g. proteins) are reported to interact. To identify potential networks or pathways, we search for highly interconnected subnetworks within a large interaction network.
To complete this recipe, we will need a gene expression dataset describing two conditions or phenotypes, such as cancer tissue vs. normal tissue. In this example, we will use gene expression data from a study in which committed granulocyte macrophage progenitor cells (normal phenotype) were transformed into leukemia stem cells (leukemic phenotype) by introduction of the MLL-AF9 protein. This example data is derived from mouse (Mus musculus) cell lines. We will need the following datasets, which can be downloaded from the following GenomeSpace Public folder:
Public
> RecipeData
> ExpressionData
: Normal_Leu.gct
: This file contains gene expression data of two phenotypes: normal and leukemic. The file is available in GenePattern's GCT format.
Public
> RecipeData
> ExpressionData
: Normal_Leu.cls
: This file contains class assignments (normal or leukemic) for all the samples in the GCT file, as identified by the GenePattern CLS format.
The visual representation of a subnetwork of differentially expressed genes.
NOTE: If you have not yet associated your GenomeSpace account with your GenePattern account, you will be asked to do so. If you do not yet have a GenePattern account, you can automatically generate a new account that will be associated with your GenomeSpace account.
GenomeSpace
tab, then navigate to your personal directory.Tool: GenePattern
1. Click on the file (e.g., Normal_Leu.gct
) in GenomeSpace, then use the GenePattern context menu and click Launch on File
.
OR
2. Click on the file (e.g., Normal_Leu.gct
) in GenomeSpace, then drag it to the GenePattern icon to launch.
We will use the PreprocessDataset
module to filter out any genes that are not differentially expressed. In this recipe, we set the cut-off for differential expression at 3-fold up- or down-regulation. This module uses the GCT file.
Modules
tab, and search for "PreprocessDataset".input filename:
load the GCT file, e.g., Normal_Leu.gct
. To do this, navigate to the GenomeSpace
tab, and navigating to the folder containing the GCT file: Public
> RecipeData
> ExpressionData
. Load the file into the input filename
parameter by clicking and dragging the file to the input filename
input box.Run
to run PreprocessDataset
. This will generate a processed GCT file.
We will use the ComparativeMarkerSelection
module to identify genes which are differentially expressed and can distinguish between two phenotypes (e.g., normal vs. leukemic). This module uses the processed GCT file and the CLS file.
Modules
tab, and search for "ComparativeMarkerSelection".input file:
load the processed GCT file, e.g., Normal_Leu.preprocessed.gct
. To do this, navigate to the Jobs
tab, and find the preprocessed GCT file from the previous job. Click and drag the file to the input file
input box.cls file:
load the CLS file, e.g., Normal_Leu.cls
. To do this, navigate to the GenomeSpace
tab, and navigating to the folder containing the CLS file: Public
> RecipeData
> ExpressionData
. Click on the file and choose Send to cls file
, or by dragging the file to the cls file
input box.Run
to submit your job. This will generate an ODF file.
We will use the ExtractComparativeMarkerResults
module to select the top genes that distinguish between phenotypes. In this recipe, we will extract the top 50 genes by rank.
Modules
tab, and search for "ExtractComparativeMarkerResults".comparative marker selection filename:
load the ODF file from the previous job, e.g., Normal_Leu.preprocessed.comp.marker.odf
. To do this, navigate to the Jobs
tab, and find the processed ODF file from the previous job. Click and drag the file to the comparative marker selection filename
input box.dataset filename:
load the processed GCT file, e.g., Normal_Leu.preprocessed.gct
. To do this, navigate to the Jobs
tab, and find the preprocessed GCT file from a previous job. Click and drag the file to the dataset filename
input box.statistic:
Rankmax:
50Run
to submit your job. This will generate two filtered files, a filtered GCT file, and a filtered TXT file.
We will use the SelectFileMatrix
module to select the gene names from our list of top 50 genes, allowing us to later import the file into Cytoscape. This module selects features from a file based on the rows and columns specified by the user. In this recipe, we will extract only the gene names.
Modules
tab, and search for "SelectFileMatrix".input file:
load the filtered GCT file, e.g., Normal_Leu.preprocessed.comp.marker.filt.gct
. To do this, navigate to the Jobs
tab, and find the processed GCT file from the previous job. Click and drag the file to the input file
input box.output file base name:
set the output file base name parameter to a new output file name, e.g., Normal_Leu.genes
.start row:
3end row:
53start column:
2end column:
2start column
and end column
parameters to be blank. This will select all the columns in the file.Run
to submit your job. This will generate a new TXT file which contains only the gene names (column 2), with the first row as a header, e.g., Normals_Leu.genes.txt
.
Save the Normals_Leu.genes.txt
file to GenomeSpace using one of the following methods.
Normals_Leu.genes.txt
), then choose Save to GenomeSpace
. Save the file to your folder.Modules and Pipeline
start page, navigate to Jobs
. Click on the file, then choose Send to GenomeSpace
. Save the file to your folder.cytoscape.jnlp
file. Double-click the file to launch Cytoscape.Start New Session
label, choose With Empty Network
.OK
.File > Import > Network > GenomeSpace
.Normals_Leu.genes.txt
. Choose Select
to load the file. This will load a new menu for importing a network from a table.Import Network From Table
box, click the arrow to expand the menu. If no arrow appears, continue to step 8.Meaning:
box, choose the green circle icon that designates "source interaction".OK
to import the file.Yes
to confirm that the network should be imported.Table Panel
, select all the node ID names by clicking on the top/first node name (e.g. "Trf"), then choosing shift and scrolling downward. Then use ctrl+c (Windows) or ctrl+click (Mac) to copy the list of names.We will use the GeneMANIA
plugin to find the network of interacting proteins associated with our gene list. GeneMANIA
can find genes related to our set of input genes by using a very large set of functional association data, which includes protein and genetic interactions, pathways, co-expression, co-localization and protein domain similarity. GeneMANIA
can find new members of a pathway or complex, find additional genes that may have been missed in a screen, or find new genes with a specific function, such as protein kinases.
Apps > AppManager
.Install Apps
, search for "GeneMANIA".Install
. This may take several minutes.Close
.Apps > GeneMANIA > Search
.GeneMANIA
before, you will be prompted to install a database. Use the following steps:
Install Data...
.Download
tab, choose Mus musculus Mouse.Install
. This may take several minutes.Close
.GeneMANIA
is loaded, change the following parameters:
Organism:
M. musculus (mouse). If you are using your own database, make sure to select the appropriate species.Genes of Interest
: Click the empty box, then ctrl+v (Windows) or ctrl+click (Mac) to load your gene list into GeneMANIA
.GeneMANIA
database; you can click OK
.Start
to begin identifying connections between genes. This may take several minutes. Once the job is complete, close the GeneMania
pop-up.We will use the MCODE
plugin to find clusters (highly interconnected nodes) within the network. Clusters in a protein-protein interaction network may represent protein complexes or parts of a pathway, and therefore convey important biological information about the network.
Apps > AppManager
.Install Apps
, search for "MCODE".Install
. This may take several minutes.Close
.MCODE
plugin: Apps > MCODE > Open MCODE
.MCODE
is loaded, it will create a new tab in the Control Panel
. To run MCODE
, change the following parameters:
Find Cluster(s)
: in Whole NetworkAdvanced Options
Cluster Finding
: Check the Haircut
parameter.Analyze the Current Network
to identify subnetworks in your network. The results from this search will appear in the Results Panel
on the upper right.Results Panel
. This will also list the proteins in the Table Panel
.Layout > Edge Weighted Spring Embedded Layout
Layout > Circular Layout
Scale
function. Select Layout > Scale
, then use the sliding scale bar to increase or decrease network density.Style
tab in the Control Panel
. You can choose preset styles using a drop-down menu. You can create your own styles by clicking on the Defaults
pane, then adjusting the parameters.Edge
tab in the bottom part of the pane. Then click on EDGE_COLOR
, choose a new color, and click OK
. Some variables take numeric inputs, such as EDGE_LINE_WIDTH
.This is an example interpretation of the results from this recipe. First, we identified the top 50 genes which differentiated between two phenotypes, leukemic and normal. We then used the GeneMANIA
tool in Cytoscape to identify connections between these genes, although some genes were not annotated and therefore only a subset were actually analyzed. We included all possible sources of interaction, i.e. we are equally interested in connections between genes that arise from co-expression, as we are in connections arising from physical interactions.
After running GeneMANIA
we created a network which connected our subset of genes. We can see from the GeneMANIA
results that, e.g. 3 genes (out of 45) have the Gene Ontology (GO) annotation 'zinc ion homeostasis', which has a total of 16 genes associated with it. The significance of this enrichment is reported as a q-value, calculated from a FDR corrected hypergeometric test for enrichment. The q-value is analogous to a p-value, and therefore a lower q-value is considered more significant.
Once we learn about the functional enrichment associated with the genes in our network, we are interested in determining whether we can find subnetworks, i.e. areas of the network which have motifs. We use MCODE
to identify subnetworks. For example, MCODE
identifies a small subnetwork of 5 nodes and 6 edges. When we click on this subnetwork in the MCODE
panel, it will highlight the nodes in the network.
We can separate this set of genes into a subnetwork by clicking the Create sub-network
button in MCODE
. This generates a new view containing the subnetwork, arranged according to the MCODE
subnetwork view. Looking at this subnetwork of genes, we can examine their annotation and see that 3 of these genes are associated with zinc ion binding.
These results suggest that there is a collection of zinc ion binding genes in our set of 50 genes which differentiated between leukemic and normal phenotypes. However, the results in this example are not necessarily significant and are only a simple representation of possible results.


About Us
Ali Reza Yahyapour
Software Developer & Student at the EITTCI'm Ali Reza the founder of YouBute. Back-end developer. Familiar with Python, Django, C, C#, Network. Big fan of Deep Learning & ML, and so on. Trying to make some noises via AI.
YouBute is a kind of media-downloaded from un-downloadable websites. You may ask, is there any way to have YouTube, SoundCloud, Instagram, and any one's media on your own system, but the answer is you can have. Take a look at what does the YouBute give its users.
Free Services
Download any tracks, videos, posts from anywhere on YouBute for free at any time anywhere.
Free Disk Space
Free 500Mb hosting space. Be aware, your media will be removed after 30 minutes.
Inside to Outside
You may not be able to use foreign services such as YouTube, Twitter, SoundCloud, and others. YouBute is located in the USA which means that YouBute can provide services for you. It stores media in its host for you.
First, you make a connection with the YouBute server, then you want it to store videos for you and it does. YouBute uses pytube library to store media from the YouTube.
How You Access Media?
First of all, you request to the server, then server wants pytube to download the given URL which refers to the YouTube video. Then, the video gets ready for the YouBute host and you have access to your media.
Now, you have 6 hours to download and share the given URL.
Services
Let's take a look at what YouBute gives its users. Here are some services YouBute provides for you.
YouTube Video Downloader
Carry up the link of the video you want to have and put it here. YouBute makes it available for you.
SoundCloud Track Downloader
You want to have your favorite song which is in SoundCloud? Try this one. Download whatever you want from the SoundCloud.


Run your code through Chrome Developer Tool, Axe Engine and HTML Code Sniffer
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I'm Guillain
Full-Stack Web Developer. Able to collaborate within a productive team both remotely and locally. Don't hesitate to contact me.
Get my resume
My Experience
EXPERIENCES AND SKILLS
August 2020 - present
Mentor
Currently helping students from around the world learn HTML / CSS / JS / React / Redux / Ruby/Rails and to grow both professionally and personally.
February 2019 - June 2020
IT support and database manager
Helping to implement and maintain CERHIS software cerhis a mobile hospital information using Couchbase, Couchbase sync gateway, JSON, node js...
December 2016 - June 2018
Full stack web developer
Developed full-stack web applications that processed, analyzed,.. Managed, optimized, and updated MYSQL databases, PHP, and JavaScript applications...
Working process
LATEST WORKING PROJECTS
Loan Group management
Ruby on rails, postgresql, Heroku, RSpec, Capybara
This is a loan application system. It's a web application with a good responsive design, built with Ruby on Rails to facilitate financial inclusion by giving loans to people.
Live version Source codeWorl Music Festival
HTML5, bootstrap4, css3-flexbox
This Project is based on an online website for a conference. I have followed the given design of the website CC Global Summit 2015 by Cindy Shin.
Live version Source codeDRC ebola evolution
flask, postgresql, python3, dash, rest-api
This project shows the evolution of the Ebola outbreak that has been occurring in the north-east of the DRC since August 2018, using dada science.
Live version Source codeRUBY GEM SUGGESTIONS BOT
Ruby, twitter-bot, twitter-api, rspec, gitflow
This is a Twitter bot that posts inspirational gem suggestions, reply to tweets, follow and tags ruby developer who needs help using our list of #.
Source codeIf you have got a project in mind, why not get in touch. Let's work together.
I'm available for interresting work or projects. Big or small. You can contact me using the form below, or by emailing guillainbisimwa@hotmail.fr


COMPAQ PARTNER SOLUTIONS & BREAKOUT SESSIONS
Clustered Server Solutions in a Windows NT Environments - Tuesday, June 10th at 1:30 p.m.
Presented by Nick Maas, Senior Technical Trainer, Compaq Computer Corporation
This session will present exciting tools and technologies available and being developed by Microsoft and Compaq to provide a non-stop computing architecture. You will learn about the robust fault-tolerant features available today and be introduced to Microsoft's cluster software solutions that are just around the corner. As more mission-critical applications are being deployed on Compaq and Microsoft NT integrated systems, you will need this timely information on how to best design for highest systems availability.
NeTwork Integration with Novell IntranetWare - Tuesday, June 10th at 1:30 p.m.
Presented by David Nelson, Manager Systems Engineering, Novell, Inc.
No longer a question of "NetWare or NT", the growing trend is for companies to employ both platforms to meet their needs. Come see how to use Novell Directory Services to reduce the cost of NT ownership and ensure "Integration Reliability" with IntranetWare clients for Windows, Novell Application Launcher, NT Workstation Manager, and Novell Administrator for Windows NT Domains. Attendees will receive a free CD containing all integration products for Windows NT and the IntranetWare client suite.
Rapid Implementation for ERP Supply Chain Management Systems - Tuesday, June 10th at 1:30 p.m.
Presented by George Miller, VP Marketing - STAR Solutions
Mr. Miller will discuss the breakthrough developments in the implementation of Baan's World Class ERP Systems, especially in smaller to medium sized organizations. Baan's "Orgware" and "Dynamic Enterprise Modeler" have revolutionized the approach to rapid configuration through the use of "Wizards" and business modeling tools that utilize industry-standard templates. Through the augmentation of these standard business objects, ERP systems may be rapidly built and deployed to your organization's specifications. Mr. Miller is VP Marketing and a founder of Star Solutions, Baan's California System Integration Partner, based in San Diego. He is a co-founder of the Baan Aerospace & Defense Advisory Council. He also founded PROACTION Management Consultants, and was VP Marketing for WDS, Assistant Director Operations for Purolator Technologies and consultant for Booz, Allen & Hamilton. His career has spanned the rise of computer-based business systems for manufacturers, as they evolved into ERP/Supply Chain Management.
Oracle for NT Clusters - Tuesday, June 10th at 3:30 p.m.
Presented by Jeff Scroggin, Director Product Marketing, Oracle Corporation
The presentation will outline Oracle's strategy for Windows NT clusters, including Oracle Fail Safe and Oracle Parallel Server. Oracle Fail Safe provides high availability with failover support for a two-node cluster. Oracle Parallel Server provides high availability, scalability, and performance for supporting enterprise-class applications on clusters from two to four nodes.
Fibre Channel Primary/Secondary Storage Solutions - Tuesday, June 10th at 3:30 p.m.
Presented by Darren Thomas, Director Network Storage, Compaq Computer Corporation
Fibre Channel attached storage addresses the demand for high-performing, intelligent storage that can keep pace with the growing demands for on-line information. As a leader in developing new array technology and a driving force in fibre channel technology development, this session will focus on the Compaq Fibre Channel attached storage system architecture, I/O performance, scalability, future directions and benefits.
Solution Seminar: Exploring Total Cost of Ownership Models - Wednesday, June 11th at 9:30 a.m.
Presented by Robert Angrisano, Senior Architectural Technologist, Microsoft Corporation
The hottest topic in the Corporate America today is "how can I lower my cost of ownership and more effectively manage my applications and operating systems?" Come hear about the most exciting solutions for lowering TCO and increasing business value since the introduction of the graphical interface. * Total Cost of Ownership Initiative Overview, what does this mean to your business? * Reducing Cost of Ownership through Technology and Best Practices * Zero Administration of Windows Initiative. What is it? * Zero Administration Kit. What's in it and why will it have an impact on my Operational ROI? * Zero Administration Initiative in Memphis and NT 5.0. What will change in the O/S and how should I prepare for it? * Zero Administration and SMS, the total solution * NetPC. What is it and should it be in my future PC purchase plans?
Solution Seminar: High-Availability Designs in IntranetWare Environments - Wednesday, June 11th at 9:30 a.m.
Presented by:
Robert Oakes, Senior Systems Engineer, Compaq Computer Corporation
Bobby Russell, Senior Systems Engineer, Novell, Inc.
Wally Marsden, Senior Systems Engineer, Vinca
This session will present high-availability designs and product solutions by Compaq, Novell, & Vinca. Novell will demonstrate key features of IntranetWare that provide a fault resilient operating environment. Vinca Corporation will show their high-availability clustering solutions that are available today. In addition, Novell will review their just announced Wolf Mountain clustering technologies. Compaq will demonstrate superserver technologies that provide for fault prevention, fault tolerance, and rapid recovery of mission-critical systems. These technologies include hot-plug PCI, redundant network interfaces, and RAID technologies. If you design and manage servers in a NetWare environment, you will not want to miss this session.
Solution Seminar: Seamless NT Integration with Oracle & Compaq Platforms - Wednesday, June 11th at 8:00 a.m.
Session designed specifically for Federal, State & Local Government Agencies
Presented by Jim Kitterman, Senior Marketing Representative for Government Markets, Oracle, Inc.
This presentation is for those faced with migrating their Oracle solutions to a Windows NT environment. The content will benefit: a) Managers who must learn how network and database solutions can help them address stringent mandates for organizational change; b) IRM's developing migration strategies for entire agencies and departments; c) Developers who must update and develop applications for an NT environment; and d) IS managers who must plan, implement, and administer networks, servers, clients, and applications in an NT environment.
Oracle Data Mart Solutions - Wednesday, June 11th at 1:30 p.m.
Presented by:
Neil Mendelson, Senior Director Data Warehousing, Oracle Corporation
K.C. Choi, Enterprise Architect, Compaq Computer Corporation
IDC and Gartner estimate that greater than 70 percent of Fortune 500 corporations will study or deploy data warehouse solutions in 1997. Data warehouse and data mart technologies have become strategic information resources for decision making and analysis. Oracle and Compaq offer high performance, cost effective and easy to deploy data mart solutions based on industry standards. This session will cover data mart architectures, products and applications for this strategic technology.
Messaging System Capacity Planning - Wednesday, June 11th at 1:30 p.m.
Presented by Jerry Cochran, Senior Messaging Architect, Compaq Computer Corporation
Planning a messaging system can raise all kinds of questions. What size server do I need? How should it be configured? How do I configure the systems and network for best results? How do I optimize the operating system for best performance? What tuning parameters are available within the messaging software? The answers to the above questions can be found in this session. You can expect to get information covering capacity planning methodologies you can use to determine the hardware and software requirements. Also covered are the tuning parameters needed to build a peak messaging server environment.
Novell GroupWise Messaging Solutions - Wednesday, June 11th at 3:00 p.m.
Presented by Rob Aronson, Senior Systems Engineer, Novell, Inc.
An overview of GroupWise 5 features and architecture with a demonstration of the GroupWise client and administration programs with Q&A. Attendee's will receive a copy of GroupWise 5 memory requirements and a CD of the GroupWiseCyberCafe.
Netscape Intranet Solutions - Wednesday, June 11th at 3:00 p.m.
A more detailed description will be available shortly.
Compaq High-Availability Services Model - Wednesday, June 11th at 3:00 p.m.
Presented by Kay Kerr, Manager Enterprise Services, Compaq Computer Corporation
As an industry-leading computer company, Compaq delivers comprehensive service solutions provided through the most dynamic partnerships in the industry. This session discusses the best ways to obtain optimum service in the new 90's computer-industry model.
Network Management Solutions - Wednesday, June 11th at 3:00 p.m.
As customers' distributed enterprise networks grow, management processes and products that keep down costs grow in importance. Compaq responds to this need with open, industry standard-based management products and partnerships with the leaders in systems and network management. This session provides an overview of Compaq's management strategy, the key technology trends, current product offerings and Compaq's vision for the future of distributed enterprise management.
| Access Spring'97 HomePage | Schedule | About Access Spring'97 | Breakout Sessions | High-Availability Sessions | Partner Pavilion | Keynote Speech | Professional Workstation Presentation | Account Case Studies | The Access Lab | Microsoft Sponsor Night | Compaq Technical Product Training | Prize Drawing and Giveaway |
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Revised: 23 April 1997 |