The elmcity project aims to democratize public calendaring in the same way that github democratizes programming: by breaking contribution bottlenecks, and by embracing decentralization and syndication.
For any given city or town, an elmcity calendar hub begins with the raw output of a specialized web robot that scans the web for candidate calendar feeds. To make the hub useful, a human curator performs the set of tasks outlined here. These tasks require, but can also help to develop, a set of webmaking skills. As I describe the tasks, I'll identify the skills and (where possible) ways to assess their development. (If the task outcome is measurable I'll discuss how; if anecdotal -- "Were you able to do that?" "Yes/no" "OK I can see that you did/didn't" -- I won't.)
The raw output to be processed is a pair of documents like these:
The list of candidate feeds currently draws on five services: Eventful, Upcoming, EventBrite, Facebook, and Meetup. We begin by excluding inappropriate feeds. Some reasons for excluding a feed:
Determining when a feed represents a legitimate identity is the sort of judgement call that web citizens must increasingly be able to make.
The raw list of URLs in taggable_sources.html can be hundreds long. The most efficient way to process these these URLs is to carve the list into batches and load the batches into sets of tabs. I recommend using the Firefox extension Linky to do that.
To exclude bogus feeds -- and to perform many of the other required tasks -- requires editing the taggable_sources.json file.
The transformed taggable_sources.json file must remain valid JSON. I recommend using jsonlint.com to validate the JSON. It provides feedback that aids error correction.
The output from this task -- and many others -- can be validated programmatically using any JSON parser.
The elmcity project encourages people and organizations to be the authoritative sources for their own public calendars. We can arrange types of calendar feeds along a continuum of authority like so:
<----- degree of authority -----> | low authority | high authority | Upcoming Eventful EventBrite Meetup Facebook native iCalendar
Event sponsors typically don't maintain the iCalendar feeds associated with Eventful and Upcoming venues, and often aren't even aware of them. So these are usually low-authority feeds. (Rarely they may be maintained by the sponsors; in those cases they are high-authority.)
EventBrite doesn't provide iCalendar feeds. However the elmcity robot uses the EventBrite API to identify organizers who are sponsoring EventBrite events in the hub's city, and produces URLs that use an elmcity service to synthesize iCalendar feeds of those events. These feeds are slightly more authoritative than Eventful and Upcoming venues, because the event organizer is the source of information about the event. But they're still usually considered low-authority because the organizer's identity on EventBrite is sometimes vague and often not tightly bound to a real-world identity and a primary web presence.
Meetup feeds are high-authority because the feed's events are tightly bound to the identity of the group, and because the group's existence on Meetup is (usually) its sole and thus most authoritative web presence.
Facebook Pages don't provide iCalendar feeds. But when the elmcity robot finds a Facebook Page that has a calendar, and that represents an activity in the hub's city, it emits an URL that uses an elmcity service to synthesize an iCalendar feed by way of the Facebook API. Some people or organizations use Facebook as their sole, or most authoritative, web presence. When such a person or organization maintains a public calendar solely or primarily on Facebook, it is highly authoritative. However, the details of the events on that calendar are not part of the open web. They are visible only to logged-in Facebook users. For that reason, a Facebook calendar is considered less authoritative than an iCalendar feed associated with an independent website.
Independent iCalendar feeds are considered most authoritative. Whether such feeds leverage cloud-based calendar apps like Google Calendar or Hotmail Calendar, or emanate from cloud-based or on-premise content management systems, they are tightly bound to the real-world identities and primary web presences of their providers.
The elmcity robot may find more than one of these. But it cannot reliably every instance of an auto-discoverable (i.e. non-iCalendar) type. And it can't automatically find any native iCalendar feeds. So curators try to expand the set of feed types for each discovered source by searching for and evaluating alternate instances.
If the source is an Eventful or Upcoming venue, for example, does the source have a Facebook page with a calendar? Does the source exist as a Meetup organizer? Does the source have a website with a calendar?
(Note: Multiplying instances per sources is usually helpful. When multiple instances exist for a source, they are often complementary, representing different aspects of the source's public calendar presence. When overlap does occur, the elmcity engine can usually handle it by coalescing duplicate events.)
If the robot discovers a source called St. Paul's School (in Concord, NH) on Eventful, there will be only one instance: the Eventful venue. If the curator discovers that St. Paul's school has a Facebook page with a calendar, and also has a school website with an iCalendar-enabled Events page, there will now be three calendar instances for St. Pauls.
This requires editorial discretion and common sense. Some criteria:
A successful hub is both comprehensive and well-categorized. Curators have limited control over the amount of machine-readable data available to their hubs, but they fully control the tagging of the feeds they discover and synthesize.
See Tagging mechanisms and strategies part 1: General and specific
The elmcity tag vocabulary is fluid and evolving. But a common core is emerging, and it includes a number of general tags: university, sports, etc. Ideally these will be accompanied by hub-specific instantations. In Seattle, for example, a University of Washington event would carry both the general tag university and the specific tag uw. Likewise in Boston a Northeastern event would be tagged university and northeastern. (These events should, of course, also be further categorized in other ways, e.g. sports and basketball or science and biology.)
In a well-tagged hub, feeds will carry sets of well-known general tags augmented by specific tags. The specific tags will, however, be used parsimoniously, to combat inflation of the tag namespace. Even without knowing what the specific tags are for a hub, we can compare it to a set of reference hubs and automatically assess whether the desired pattern exists.
The vast majority of native iCalendar feeds found by curatorial detective work will be served by Google Calendar. A few will be served by other iCalendar-aware applications and services. But there's a long tail of iCalendar producers, many of which don't produce usable iCalendar feeds.
A elmcity companion service, the iCalendar Validator, enables curators to check the validity of discovered iCalendar feeds.
The iCalendar Validator works both interactively and programmatically. In the former mode it provides feedback to curators (and to contributors). In the latter mode it can be used to automatically assess whether discovered feeds are valid.
The elmcity service offers a growing set of tools that synthesize iCalendar feeds from non-iCalendar sources. Examples of such sources include:
The elmcity robot can't automatically find these sources, so the curator's task is twofold. First, find these non-iCalendar sources. Second, use the provided tools to synthesize iCalendar feeds from them.
The toolkit includes filters that curators can use to divide feeds that can't be well-categorized into subfeeds that can. Examples include:
There are hundreds of content management systems in dozens of vertical markets: schools, churches, chambers of commerce, etc. Most of these include an Events module that's used to publish an Events page. Shockingly few of them, however, enable iCalendar feeds on those Events pages.
The elmcity project keeps a list of iCalendar-unaware CMSs. Curators who find ones not on the list should add them to it.
The list is maintained on Delicious. Curators add to it by bookmarking the home pages of iCalendar-unaware CMSs and tagging them with needs_ical. If curators use distinct Delicious accounts, their contributions to the list can be measured.
The elmcity project also keeps a list of common types of sites that typically provide public calendars and ought to provide corresponding iCalendar feeds. The list includes the city government, the chamber of commerce, the public library, the universities, high schools, and grade schools, the YMCA. (See A civic scorecard for public calendars.)
Mapping the list of common types onto a list of specific instances, and locating iCalendar feeds (if any) requires search and navigation skill.
The elmcity project keeps a checklist for each hub. When the hub has been processed, the checklist indicates, for each common type (school, library, etc) whether that hub's instance does or does not offer an iCalendar feed.
When these types of sources do offer feeds, they are often served by one of the relatively few CMSs that support iCalendar. These rare CMSs often provide implicit web APIs that deliver categorized slices of calendars. A school, for example, may deliver views for athletics, music, and public meetings.
The curator's task here is to discover the URL pattern used to deliver these categorized views, and manipulate it to create a family of URLs that can be added to the hub as tagged feeds.
Curators are evangelists for an open web of data based on standard syndication protocols. When they discover invalid iCalendar feeds, or common sites (libraries, schools, governments) that ought to produce feeds but don't, or CMSs that serve up HTML Events pages without corresponding calendar feeds, they should contact the responsible sites, explain the syndication model, and suggest ways for the sites to embrace it.
The project provides email templates that serve as the basis for this communication.
If curators cc an email repository, their level of interaction with invited contributors can be measured.


◆ __init__()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.__init__ |
( |
|
self, |
|
|
|
main_model_part, |
|
|
|
custom_settings |
|
) |
| |
constructor.
the constructor shall only take care of storing the settings and the pointer to the main_model part. This is needed since at the point of constructing the model part is still not filled and the variables are not yet allocated
real construction shall be delayed to the function "Initialize" which will be called once the model is already filled
Reimplemented in dam_UP_thermo_mechanic_solver.DamUPThermoMechanicSolver.
◆ AddDofs()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.AddDofs |
( |
|
self | ) |
|
◆ AddVariables()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.AddVariables |
( |
|
self | ) |
|
◆ Check()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.Check |
( |
|
self | ) |
|
◆ Clear()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.Clear |
( |
|
self | ) |
|
◆ ComputeDeltaTime()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.ComputeDeltaTime |
( |
|
self | ) |
|
◆ FinalizeSolutionStep()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.FinalizeSolutionStep |
( |
|
self | ) |
|
◆ GetComputingModelPart()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.GetComputingModelPart |
( |
|
self | ) |
|
◆ GetComputingThermalModelPart()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.GetComputingThermalModelPart |
( |
|
self | ) |
|
◆ GetMinimumBufferSize()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.GetMinimumBufferSize |
( |
|
self | ) |
|
◆ GetOutputVariables()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.GetOutputVariables |
( |
|
self | ) |
|
◆ ImportModelPart()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.ImportModelPart |
( |
|
self | ) |
|
◆ Initialize()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.Initialize |
( |
|
self | ) |
|
◆ InitializeSolutionStep()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.InitializeSolutionStep |
( |
|
self | ) |
|
◆ InitializeStrategy()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.InitializeStrategy |
( |
|
self | ) |
|
◆ Predict()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.Predict |
( |
|
self | ) |
|
◆ SaveRestart()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.SaveRestart |
( |
|
self | ) |
|
◆ SetEchoLevel()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.SetEchoLevel |
( |
|
self, |
|
|
|
level |
|
) |
| |
◆ Solve()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.Solve |
( |
|
self | ) |
|
◆ SolveSolutionStep()
| def dam_thermo_mechanic_solver.DamThermoMechanicSolver.SolveSolutionStep |
( |
|
self | ) |
|
◆ body_domain_sub_sub_model_part_list
| dam_thermo_mechanic_solver.DamThermoMechanicSolver.body_domain_sub_sub_model_part_list |
◆ loads_sub_sub_model_part_list
| dam_thermo_mechanic_solver.DamThermoMechanicSolver.loads_sub_sub_model_part_list |
◆ main_model_part
| dam_thermo_mechanic_solver.DamThermoMechanicSolver.main_model_part |
◆ mechanical_computing_model_part
| dam_thermo_mechanic_solver.DamThermoMechanicSolver.mechanical_computing_model_part |
◆ mechanical_linear_solver
| dam_thermo_mechanic_solver.DamThermoMechanicSolver.mechanical_linear_solver |
◆ mechanical_model_part_name
| dam_thermo_mechanic_solver.DamThermoMechanicSolver.mechanical_model_part_name |
◆ Mechanical_Solver
| dam_thermo_mechanic_solver.DamThermoMechanicSolver.Mechanical_Solver |
◆ settings
| dam_thermo_mechanic_solver.DamThermoMechanicSolver.settings |
settings string in json format
◆ strategy_params
| dam_thermo_mechanic_solver.DamThermoMechanicSolver.strategy_params |
◆ thermal_computing_model_part
| dam_thermo_mechanic_solver.DamThermoMechanicSolver.thermal_computing_model_part |
◆ thermal_domain_sub_sub_model_part_list
| dam_thermo_mechanic_solver.DamThermoMechanicSolver.thermal_domain_sub_sub_model_part_list |
◆ thermal_linear_solver
| dam_thermo_mechanic_solver.DamThermoMechanicSolver.thermal_linear_solver |
◆ thermal_loads_sub_sub_model_part_list
| dam_thermo_mechanic_solver.DamThermoMechanicSolver.thermal_loads_sub_sub_model_part_list |
◆ thermal_model_part_name
| dam_thermo_mechanic_solver.DamThermoMechanicSolver.thermal_model_part_name |
◆ Thermal_Solver
| dam_thermo_mechanic_solver.DamThermoMechanicSolver.Thermal_Solver |
The documentation for this class was generated from the following file:


Graphic Design Tutorials | The shape
By John's Tutorial
Published on Sep 9, 2014
By John's Tutorial
Published on Sep 9, 2014
When we talk about shapes, they are the building blocks of design. Form these elements; designers create images, icons, textures, patterns, diagrams, animations, and typographic systems. Indeed, every complex design shown in this book results at some level from the interaction of points, lines, and planes.
Diagrams build relationships among elements using points, lines, and planes to map and connect data. Textures and patterns are constructed from large groups of points and lines that repeat, rotate, and otherwise interact to form distinctive and engaging surfaces. Typography consists of individual letters (pints) that form into lines and fields of text.
Today, designers use software to capture the gestures of the hand as data that can be endlessly manipulated and refined. Software describes images in terms of point, line, plane, shape, and volume as well as color, transparency, and other features. There are numerous ways to experiment with these basic elements of two-dimensional design: obseving the environment around you, making marks with physical and digital tools, using software to create and manipulate images, or writing code to generate form with rules and variables.


Package org.lwjgl.stb
Contains bindings to stb, a set of single-file public domain libraries.
See: Description
-
Interface Summary Interface Description STBIEOFCallbackI Instances of this interface may be set to theeof
field of theSTBIIOCallbacks
struct.STBIReadCallbackI Instances of this interface may be set to theread
field of theSTBIIOCallbacks
struct.STBISkipCallbackI Instances of this interface may be set to theskip
field of theSTBIIOCallbacks
struct.STBIWriteCallbackI Instances of this interface may be used with theSTBImageWrite
write_type_to_func
functions.
Package org.lwjgl.stb Description
Contains bindings to stb, a set of single-file public domain libraries.
The functionality provided by stb includes:
- Parsing TrueType files, extract glyph metrics and rendering packed font textures.
- Easy rendering of bitmap fonts.
- Reading/writing image files and resizing images (e.g. for gamma-correct MIP map creation).
- Decoding Ogg Vorbis audio files.
- Compressing DXT textures at runtime.
- Packing rectangular textures into texture atlases.
- Computing Perlin noise.


Ghost of Adventurer:
Hey, why don't you do a good job? You can't just hit once and then run away like a child! Real work isn't easy!
You must call the soul by beating the well, fight until the jewil changes color, and then investigate the will! Is that clear?


The world is a dangerous place to live; not because of the people who are evil, but because of the people who don't do anything about it. by Albert Einstein
The world is a dangerous place to live; not because of the people who are evil, but because of the people who don't do anything about it.


Transition
As seen in Listeners and Preventing navigation, canDeactivate
and canActivate
are part of the transition phase. Additionaly, node listeners can be included in the transition phase.
It is also possible to register an asynchronous "middleware" function: it can return a boolean for synchronous results, a promise or call a done callback for asynchronous operations.
let onTransition = function (toState, fromState, done) {
// Let's fetch data and call done
done(null);
};
router.onTransition(onTransition)
This type of function is ideal to remove data loading logic from components, and is a good fit for applications aiming at having a centralised state object.
Flow chart
Sometimes a simple flow chart is way better than many confusing paragraphs.
Transition hooks
You can listen to specific transition events, mostly for debugging purposes.
- Start:
.onTransitionStart(cb)
,.offTransitionStart(cb)
- Cancel:
.onTransitionCancel(cb)
,.offTransitionCancel(cb)
- Error:
.onTransitionError(cb)
,.offTransitionError(cb)
Listeners are of the following form: function (toState, fromState) { }
. Transition error listeners are called with
an extra err
argument.


Report S04
Q1:Tell me about your previous experience on node/npm or any equal programming tools.
A1:I didn't use node/npm before.
Q2: How do you feel about working with JavaScript, Node and Express?
A2: JavaScript is much more flexible than Java. For example, I can change the length of array after defining it. And it is easy to use Node to test simple code without writing the codes into a file and it can help you to check the code sentence by sentence so that you can find the bug immediately. Node involves some base APIs which are difficult for a new hand to use, but Express encapsulates them, so we can use it easier.
Q3: Explain how you did take on the coding assignment, did you have a plan and did it work?
A3: I finished the sample first
Q4:What grade did you aim for and was it a difficult level?
A4:Grade 4. It is difficult for me.
Q4: What is your TIL for this course section?
A4: .


This documentation is created by ThemeShef a company who built awesome premium bootstrap themes for you.
In this documentation, you'll get same pre-built bootstrap 4 codes & snippets without visiting bootstrap documentation site.
As a developer this doc helps me a lot when I develop my own project. I think this will help you too. Want to thanks me? Visit ThemeShef or email me at themeshef@gmail.com


Localization
This demo illustrates how resources can be localized for a specific culture to display an application with the GridControl in a different language.
In this demo, you can select a culture to be applied to the grid by tapping the corresponding button on the right. When the language is changed, the grid changes the following.


TCIF raises awareness for trauma victims - The Nation Newspaper
Kelvin Osa Okunbor
Stakeholders in Nigeria’s health, accident and emergency response industries have demanded increased government and private sector investments in facilities that will ease the plight of trauma victims.
The call was made in Lagos at the 2019 trauma conference organised by Trauma Care International Foundation (TCIF) where participants expressed the worry over the plight of victims, the majority lacking access to requisite facilities for speedy treatment and help from professionals.
Lagos State Commissioner for Health, Prof. Akin Abayomi, who spoke at the event, lamented the stressed-induced trauma that thousands of residents face daily in the state due to infrastructural gaps , assuring that efforts were made to mitigate the impact on citizens.
Abayomi, also decried the activities of irresponsible commercial motorcyclists saying they had become a source of trauma to many.
Trauma Care International Foundation said the conference was organized to provide a platform for debate and stimulation of inter-disciplinary discussions in the field of trauma care and emergency response management.
Some of the topics discussed at the conference include: Transforming healthcare in Nigeria through trauma network, securing healthcare financing for trauma and emergency services, National Health Act and its provision for emergency care, and improvement in pre-hospital emergency care systems.
Participants were drawn from federal and states ministry of health, national assembly, hospitals, Federal Road Safety Corps, first responders to trauma and accidents, media, insurance and NGOs.
The confence had become necessary given that in recent years, the country has witnessed an increase in the number of suicides occasioned by depression. There are also several cases of persons traumatized owing to the loss of family members or friends, accident victims from road, water, and air mishaps, just as fire disasters, floods, homelessness, failed marriages, truncated relationships, collapsed businesses, loss of jobs have wrecked emotional havoc on thousands of Nigerians.


First, let's take a quick look at what SQL is. For the sake of simplifying, SQL is a special-purpose programming language designed for managing data held in a relational database management system. Using SQL can improve the way that we are able to sort data without our website or web application.
After researching this top a bit, most of the complaints with SQL range from disliking syntax to complaints about the completeness of the language. Another major complaint facing SQL databases is SQL Injection.According to one source, "SQL injection attacks allow attackers to spoof identity, tamper with existing data, cause repudiation issues such as voiding transactions or changing balances, allow the complete disclosure of all data on the system, destroy the data or make it otherwise unavailable, and become administrators of the database server." In short, SQL injection allows a user to access and tamper with your secure info.
In the event that your website is hacked, you're basically screwed. A hacker using SQL injection can really take you for a ride. So what should you do to combat this? Well there are a few options you have. First and foremost, you should make sure that your website/application is coded in a such a way to protect against data leaks. Patching your servers, databases, programming languages and operating systems is also critical. Additionally, you can run scans on your site to make sure that you don't have any breaches in the system. While all of these will help combat SQL injection issues, I'm not sure that I have been able to find a 100% full proof plan to protect against hacking.
Well as always, this question depends on what you are trying to accomplish. From a developers standpoint, it is important to learn about SQL. SQL is important to understand because it is everywhere. While it may not be the most beloved programming language on the market, it is widely used and it does seem to improve data management in certain instances.
So what are some reasons why we would want to avoid SQL? In certain cases, joins in relational databases can slow down you programs significantly. People have complained that relational data does not map well. Certain people on the web also claim that SQL doesn't map well with modern programming languages.
On the plus side, people argue that most data can be easily mapped with SQL. SQL appears to be user friendly and easy to learn. There are also many advocates claiming that it drastically improves the speed at which their team can access and manipulate data.
So what is the answer? This is something you have to decide for yourself. I personally see the value of using SQL and I am very excited to work with sites that use SQL. My overall goal is not necessarily to work with 'big data' or large databases but learning SQL teaches you how to query. Regardless of which direction your career in programming takes you, having a solid foundation of querying will only make you a better programmer in the end.


JavaScript Logging: We Can Do Better!
Currently in the world of JavaScript these options are what we most commonly use to generate logs:
console.log
console.info
console.warn
console.error
These are actually pretty good in most modern browsers. Even
if you go back to Internet Explorer 8 console.log
and friends
work as long as you have the developer tools open.
Given that we have these logging utilities what is the problem with using them? When in local development these are just fine for helping debug and speed up development. They can be used to help you quickly catch errors or see where you’re starting to go astray when using a library.
console.log
and friends allow you to see
what’s going on and leave notes for other developers in the
future. This is okay for local development. However, what do
you do once you move into production? Almost everyone removes
console
commands before code is served in production.
Without console commands in production how do you have the same
level of logging you’re used to with standard applications?
When using a web server you get to see most every error that
occurs. Each 500
is logged to an error log file for every
error that occurs for every user. This is not something that
really exist for JavaScript. By the nature of how web browsers
work we do not get any errors that occur for the end user.
Here are the issues with JavaScript logging today:
- Local development is the only way to see the errors.
- Logs are distributed across many clients.
- Errors usually lack local stack context.
- We do not know when a user sees an error.
Given the problems listed above you may ask: “Why should I care?” We’ve gotten along for years without getting JavaScript errors. Try not to follow this line of flawed reasoning. Despite spending years without tracking analytics about how people use our sites, we now view those tracking analytics as invaluable. Once you start seeing your JavaScript errors at the same rate and volume as your server side errors you will view those logs as invaluable. Most importantly developers will finally be empowered to provide proactive fixes for JavaScript errors the same way we can fix server side errors in a proactive fashion.
Imagine this scenario, you have an advanced search feature in your application. This search feature works two fold: it has an AJAX call to fill out the search results as well as a two-layer UI with a drop down that shows the results. When a result is clicked, it opens a more detailed modal of those results.
In most cases this kind of interaction is JavaScript heavy. How do you know when the searches fail due to a scripting error, instead of a network drop on the client? What can you do to be proactive about issues occurring here?
We’ve released a logging framework, Canadarm, to make identifying and handling these kinds of situations easy. Now each time a script error occurs you’ll get to see it. As long as the client can connect to the Internet and execute JavaScript you’ll get to see what went wrong. A common issue you may not realize in local testing is a Unicode search error. This logger will tell you what error occurred as well as the language and encoding used to read your page.
Below are a some topics that are likely to cross your mind. This post will cover each of them in detail.
- What does Canadarm do?
- How does Canadarm work?
- Who has used Canadarm?
- Has Canadarm helped solve any problems?
- When can I use it?
This post will cover all of these questions in detail.
What does Canadarm do?
Canadarm makes it easy to send logs to a remote server.
This alone is nothing novel and isn’t all that impressive. It’s fairly easy
to setup a try/catch
around your code and send that error to
a server via a GET
request. The real advantage to Canadarm comes in
what it does to catch the errors.
Canadarm has three ways to gather errors:
- Automatically catch all
window.onerror
events (least useful due to lack of context) - Automatically catch all errors that occur when events fire (most useful because it “just works”)
- Manually
watch
orattempt
individual function calls
These modes allow you to write your code and not have to worry about logging or catching errors yourself. Any global errors will be caught and more specifically all errors bound to events will be caught. The ability to catch errors related to events is the most useful feature of Canadarm.
Most errors that will occur on your web pages happen when a user performs some sort of action. Canadarm is able to provide you with context specific error messages by automatically hooking into and monitoring functions bound to events.
With the Canadarm.watch
and Canadarm.attempt
functions, you have the power to individually
monitor specific functions. Let’s say you have a function that gets
called without an event being fired. You can call attempt
on that function which
will immediately invoke the function. If an error occurs, the error will be logged.
With watch
you can watch a function once and every time it
throws an error later during execution the error will be logged.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |
|
If you don’t want Canadarm to automatically log global errors
and/or event based errors you can opt-out of this feature. With
watch
and attempt
you can write your JavaScript how
you want to and not worry about what is going on within Canadarm.
Finally, you get out of Canadarm what you really wanted from console
functions.
You can log specific error messages at the point you want to via
these logging commands:
Canadarm.debug(msg, error)
Canadarm.info(msg, error)
Canadarm.warn(msg, error)
Canadarm.error(msg, error)
Canadarm.fatal(msg, error)
Optionally, you can provide two more arguments after msg
and error
. data
followed by options
. You can see the usage of these arguments over in the
Canadarm documentation. Specifically, data
is the most useful
here. data
allows you to pass an extra object that will get its values passed
to the appenders. The default appender included in Canadarm will log all these
values for you as key-value pairs.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 |
|
To find out more on how to configure and use Canadarm go and check out its documentation. It’s pretty easy though. You only need to include the Canadarm code and then configure the logger. As seen on the Canadarm readme, you can do the following to get a working local logger:
1 2 3 4 5 6 7 8 9 10 11 12 |
|
Now you’ll see all logged errors in your console with all the information the standardLogAppender provides. Obviously you want more than local logs. Next you’ll see how our teams have used this logger.
How does this work?
Canadarm is fairly simple. The logger catches an error and then sends that error to a central server. Under the covers it uses Appenders and Handlers as the mechanisms to achieve this result.
Appenders
An appender works as a way to process an error or log event that occurs.
The appender has this signature: appender(level, exception, message, data)
.
level
– Level of the log, one ofDEBUG
,INFO
,WARN
,ERROR
,FATAL
exception
– An actual JavaScriptError
object.message
– Text message of the logged error.data
– Extra information to provide to the appender, usually this is not used.
An appender must return an object. The object should contain simple data types. They are single key/value pairs, usually strings. The return value of an appender is then passed to a handler.
Handlers
Handlers take action on the objects produces by the appenders. A handler’s job is to send the results of the appenders somewhere. By default there are two handlers that come out of the box with Canadarm: a console handler that logs all errors to the console and a beacon handler that sends all errors to a given URL end point.
Appenders & Handlers
Appenders and handlers work together to create your logs. Here’s the break down of what happens during an error or logging event:
- Error or log event happens
- Every appender is iterated over in order (duplicate keys will be replaced with the value of a later appender)
- A final object is created from the output of all appenders
- The final object is passed to every handler
- Each handler usually sends this information somewhere (e.g. console or remote server)
That’s it for how the logger works on the client. The real power comes when
you combine this log gathering with the BeaconHandler
.
The logs gathered are then sent to a server. The server receiving these logs should
be writing them out to a file that is then read into a logging system. We currently use a
simple Apache server and treat its access logs as our JavaScript error logs. We then send
the logs to a log aggregation tool, Splunk.
Who has used it?
We have a few applications that have begun using Canadarm.
- HealtheLife – website for patients to manage their health
- Internal Sites – a few sites we use internally for a few things (e.g. code review, cheat sheets etc.)
HealtheLife
HealtheLife was the first client facing application to go into production using Canadarm. They have over 3 million users and at any given moment they usually have at least one thousand concurrent users. These metrics matter for two reasons: first, it shows us that Canadarm works at scale without causing issues to the application, second, we have been able to see trends in JavaScript errors occurring in this application.
For those who thought “why should I care?” when it comes to JavaScript logs
this go live was an interesting story. Within the first 20 minutes we
noticed errors that occurred on every page load. Specifically this error
was a reference to $
(jQuery) before it was defined. Since this was in
an analytics tracking snippet, and at the end of a script tag, it did not
cause an end user impact, beyond eating processing time to handle an
error on every page.
However, it did mean that analytics were not getting tracked how the application intended. In fact, without this logger in place the application would have happily continued along with no indication certain actions where never taking place. Since the analytics tool did not report the expected user interactions, it appeared as if features of the application where not getting used, or worse, that the analytics were faulty.
The actual messages in the errors for this application are interesting. Since HealtheLife is used in many countries with many different locales, they support various languages. Because of the various supported languages and users being able to use their browsers in any locale they want, we had a few interesting logs messages. Specifically we have had a few logs come across in English, Spanish, German and more. It was kind of eye opening to know that errors are actually translated within a browser.
Internal Sites
Currently a few internal sites are using Canadarm for local development and integration environments. Most interesting so far for has been looking at the logs and seeing who has been copy pasting code around.
Interestingly enough I found some random logs on our Splunk dashboard in dev.
Which lead me to github, specifically a github pages site.
Seeing the application and where the logs said the application lived I was able to find the source code. The code then lead me to the owner of the application. At that point I was able to contact the owner and get the issue fixed. Finding another application’s errors and letting the owner know about is an interesting experience. The whole interaction was cool because it was not a use case we had considered when building Canadarm.
Has it helped solve any problems?
As mentioned before this has helped to point out two issues: one for HealtheLife and another for an internal application. Pointing out issues is not enough to fix them though. Also, Canadarm does not solve problems on its own. You get the most out of logging when you use a tool to aggregate those logs. We’ve been using Splunk to aggregate our logs.
Combined with the searching and reporting of Splunk we’ve been able to leverage the logs generated by Canadarm to see a few common trends in our code. Canadarm has helped us to see a few common problems we have:
- Locally we produce a lot of JavaScript errors
- We often introduce new errors when we write visualizations
- Referencing variables before they exist
- New frameworks are hard to get a handle on
Using Canadarm to generate logs doesn’t solve problems on its own. It’s when we combine those logs with the reporting capabilities of Splunk that we can see trends and identify areas we need to improve upon in our development.
On our teams it has shown that we need to get better at defining our APIs for data visualizations. I’ve been able to see many errors from our developers when they first try to update or modify any of our visualizations. Without this logging in place it would not be so obvious that our current API is not working well for others. This gives us empirical data that developers are having issues using our software. Without this data, we’d have to rely on complaints and hope people reported the issues they encountered when using our code.
As a more concrete example, recently one of our teams has begun to try and use react. By analyzing the logs it’s easy to see that we have had some issues getting a handle on how react works. Over the few weeks of react work we could clearly see a number of errors. This shows we need a lot more training on how to properly use react. Further it shows me that if we plan to adopt react as our frontend framework that we need to put together a “gotcha” or “tips and tricks” guide for getting started.
While the logger is not directly “solving” problems it is helping to illuminate issues we are seeing in local development as well as in production. By shining a light on these issues we are able to move forward and solve these problems ourselves. Sometimes the problems may be solved by additional training or they may be solved by code changes. Most importantly Canadarm is opening our eyes to the kinds of issues we’ve had for years with JavaScript. We can no longer ignore these issue because we have solid empirical evidence showing us our problems.
When can I use it?
After reading along this far hopefully you’re thinking: “This all sounds great! When and how can I get started?”. It’s pretty easy:
- Include Canadarm in your JavaScript (as early as possible)
- Configure Canadarm
- Have a server to handle logs
- Have a reporting tool on top of your logs
Standalone applications
If you are a public facing Internet application or a small startup, Canadarm can still be a great investment. Ideally you do not need to worry about steps 3 and 4 above. Simple Log management solutions, such as Loggly should be enough for your needs.
Here’s what I did to get a quick setup working:
- Setup a free account
- Fill out info in the pop up
- Go to
https://YOUR_SUB_DOMAIN_HERE.loggly.com/sources/setup/https
- See the “step 2” section you should have a URL to copy that looks something like:
http://logs-01.loggly.com/inputs/WWWWWWW-55555-5555555-55WW55-WWWWW55555/tag/http/ 5. Configure Canadarm with this end point to see the logs:
Canadarm.init({
onError: true,
wrapEvents: true,
appenders: [
Canadarm.Appender.standardLogAppender
],
handlers: [
Canadarm.Handler.beaconLogHandler('http://logs-01.loggly.com/inputs/WWWWWWW-55555-5555555-55WW55-WWWWW55555/tag/http/'),
Canadarm.Handler.consoleLogHandler
]
});
After this setup it was pretty easy to get some graphs going. For example you can easily see what errors occurred by message in this pie chart:
Even easier is getting to view the raw output of a given event message:
Loggly is a great tool to use for large and small projects. A big bonus for anyone starting to use Loggly for their JavaScript logs it that they can begin to use Loggly for their other logs (if they are not already). While Loggly may not be ideal for every situation when it comes to logging, it is really handy when you do not have the resources, money, or time to setup your own log aggregation tool.
Summary
From desktop, to mobile, to embedded devices, web browsers can be seen everywhere. With the help of Canadarm we can now see what exactly is happening within our applications. An entire world of client side errors and issues can now be properly managed and acted upon. Combine these logs with an aggregation tool such as Splunk or Loggly and you have enabled operational intelligence.
The next time a user logs an issue for a JavaScript error you can respond by telling them you’ve seen the error and are already working to correct it. Gone are the days of reactive fixes. Now you can worry about proactive solutions.


- saveMapToFile(RiskMap) - Method in class com.riskgame.adapter.DominationToConquestAdapter
-
This method will make returns true if riskmap file successfully created from
data given from user side.
- saveMapToFile(RiskMap) - Method in interface com.riskgame.service.ConquestMapInterface
-
This method will make returns true if riskmap file successfully created from
data given from user side.
- saveMapToFile(RiskMap) - Method in class com.riskgame.service.Impl.ConquestMapImpl
-
This method will make returns true if riskmap file successfully created from
data given from user side.
- saveMapToFile(RiskMap) - Method in class com.riskgame.service.Impl.MapManagementImpl
-
This method will make returns true if riskmap file successfully created from
data given from user side.
- saveMapToFile(RiskMap) - Method in interface com.riskgame.service.MapManagementInterface
-
This method will make returns true if riskmap file successfully created from
data given from user side.
- sb - Static variable in class com.riskgame.service.Impl.RiskPlayImpl
-
- sb - Static variable in class com.riskgame.strategy.impl.AggresivePlayer
-
- sb - Static variable in class com.riskgame.strategy.impl.BenevolentPlayer
-
- sb - Static variable in class com.riskgame.strategy.impl.CheaterPlayer
-
- sb - Static variable in class com.riskgame.strategy.impl.HumanPlayer
-
- sb - Static variable in class com.riskgame.strategy.impl.RandomPlayer
-
- setAttackMessage(String) - Method in class com.riskgame.observerpattern.Subject
-
This method will set attack message for attack phase
- setBuilder(GameStateBuilder) - Method in class com.riskgame.builder.GameStateDirector
-
setBuilder which will provide the builder of gamestateBuilder
- setFortificationMessage(String) - Method in class com.riskgame.observerpattern.Subject
-
This method will set fortification message for fortification phase.
- setMessage(String) - Method in class com.riskgame.observerpattern.Subject
-
This method sets the update message
- setPhase(String) - Method in class com.riskgame.observerpattern.Subject
-
This method sets the current phase of the game
- setPlayerCardExchangeViewMessage(String) - Method in class com.riskgame.observerpattern.Subject
-
This method gives the message for getPlayerCardExchangeView.
- setPlayerDominationViewMessage(String) - Method in class com.riskgame.observerpattern.Subject
-
This method sets the message for playerWorldDominationView.
- setPlayerPhaseViewMessage(String) - Method in class com.riskgame.observerpattern.Subject
-
This method sets the message for getPlayerPhaseView.
- setReinforcementMessage(String) - Method in class com.riskgame.observerpattern.Subject
-
This method will set reinforcement message for reinforcement phase
- setState(String) - Method in class com.riskgame.observerpattern.Subject
-
This method sets the current state of the game
- setup() - Method in class com.riskgame.service.impl.ConquestMapImplTest
-
Setup method to setup object initially
- setup() - Method in class com.riskgame.service.impl.MapManagementImplTest
-
Setup method to setup object initially
- setup() - Method in class com.riskgame.service.impl.PlayerHandlerImplTest
-
Setup methods to set objects
- SpringFXMLLoader - Class in com.riskgame.config
-
Will load the FXML hierarchy as specified in the load method and register
Spring as the FXML Controller Factory.
- SpringFXMLLoader(ApplicationContext, ResourceBundle) - Constructor for class com.riskgame.config.SpringFXMLLoader
-
This is a controller of this class and it initialize context and resourceBundle
- stageManager(Stage) - Method in class com.riskgame.config.AppJavaConfig
-
Stage only created after Spring context bootstap
- StageManager - Class in com.riskgame.config
-
Manages switching Scenes on the Primary Stage
- StageManager(SpringFXMLLoader, Stage) - Constructor for class com.riskgame.config.StageManager
-
This is a parameterize controller of this class and it'll initialize given values in args.
- start(Stage) - Method in class com.riskgame.RiskgameApplication
-
Initilaization of stageManager
- startGame - Variable in class com.riskgame.controller.StartupPhaseController
-
- StartupPhaseController - Class in com.riskgame.controller
-
This class is a controller for the screen which used to choose map, add
player, populate countries, place army and command for startup phase.
- StartupPhaseController() - Constructor for class com.riskgame.controller.StartupPhaseController
-
- stop() - Method in class com.riskgame.RiskgameApplication
-
This method will close springContext
- StrategyInterface - Interface in com.riskgame.strategy
-
These abstract methods are part of strategy pattern.
- StrategyType - Enum in com.riskgame.constant
-
This is enum of different strategy
- Subject - Class in com.riskgame.observerpattern
-
This class is Subject class to implement the observer pattern.
- Subject() - Constructor for class com.riskgame.observerpattern.Subject
-
- switchScene(FxmlView, Object) - Method in class com.riskgame.config.StageManager
-
This method will help to switch the scene from one to another


| arima.sim {stats} | R Documentation |
Simulate from an ARIMA model.
arima.sim(model, n, rand.gen = rnorm, innov = rand.gen(n, ...), n.start = NA, start.innov = rand.gen(n.start, ...), ...)
model |
A list with component |
n |
length of output series, before un-differencing. A strictly positive integer. |
rand.gen |
optional: a function to generate the innovations. |
innov |
an optional times series of innovations. If not
provided, |
n.start |
length of ‘burn-in’ period. If |
start.innov |
an optional times series of innovations to be used
for the burn-in period. If supplied there must be at least
|
... |
additional arguments for |
See arima
for the precise definition of an ARIMA model.
The ARMA model is checked for stationarity.
ARIMA models are specified via the order
component of
model
, in the same way as for arima
. Other
aspects of the order
component are ignored, but inconsistent
specifications of the MA and AR orders are detected. The
un-differencing assumes previous values of zero, and to remind the
user of this, those values are returned.
Random inputs for the ‘burn-in’ period are generated by calling
rand.gen
.
A time-series object of class "ts"
.
require(graphics) arima.sim(n = 63, list(ar = c(0.8897, -0.4858), ma = c(-0.2279, 0.2488)), sd = sqrt(0.1796)) # mildly long-tailed arima.sim(n = 63, list(ar = c(0.8897, -0.4858), ma = c(-0.2279, 0.2488)), rand.gen = function(n, ...) sqrt(0.1796) * rt(n, df = 5)) # An ARIMA simulation ts.sim <- arima.sim(list(order = c(1,1,0), ar = 0.7), n = 200) ts.plot(ts.sim)


{% extends 'tt_core/base.html' %} {% block content %} {% if past_missions %}
Welcome to The Archive! Here's everything the community has done so far, by date.
No past missions yet — come back tomorrow! (And then today's mission will be there) (that's how this site works) (it's only the first day)


Shortness of breath might not be anything to worry about, but sometimes it can be serious and you'll need to get medical help.
Immediate action required: Call 999 if you're struggling to breathe or have sudden shortness of breath and:
- your chest feels tight or heavy
- you have pain that spreads to your arms, back, neck and jaw
- you feel or are being sick
You could be having a heart attack or a problem with your lungs or airway.
Call 999 immediately as you need treatment in hospital.
Non-urgent advice: See a GP if you have shortness of breath and:
- it's lasted for longer than a month
- it gets worse when you have been active
- it gets worse when you lie down
- you have been coughing for 3 weeks or more
- you have swollen ankles
It's important to get medical advice to make sure it's nothing serious. You're not wasting anyone's time by getting it checked out.
Causes of shortness of breath
Shortness of breath has lots of different causes.
Common causes include a cold or chest infection, being overweight, and smoking. It can also be a sign of a panic attack.
But sometimes it could be a sign of something more serious, such as a lung condition called chronic obstructive pulmonary disease (COPD) or lung cancer.
Any treatment you may need depends on what's causing your symptoms.
Don't try to self-diagnose the cause of your shortness of breath – always see a GP.
Page last reviewed: 10 October 2017
Next review due: 10 October 2020


dtncpd - receive a bundle SYNOPSIS
dtncpd [ directory ]
optional directory parameter is where incoming files will get put (defaults to: /var/dtn/dtncpd-incoming)


Skills
Agreement
Candidate Data
Skills
Document Upload
Letter of Motivation
Submit Application
Januar
Agreement
Decline
Accept


a distributed FUSE filesystem with offline operations support |
|
86 |
| 2500 |
rofi-tools
okraits
|
Tools for and with rofi (https://github.com/DaveDavenport/rofi) |
|
86 |
| 2501 |
django-mongodbforms
jschrewe
|
Django forms for mongodb documents |
|
86 |
| 2502 |
cointrader
toirl
|
Cointrader is a CLI trading bot for crypto currencies on the Poloniex exchange. |
|
86 |
| 2503 |
piclodio3
Sispheor
|
Raspberry Pi Clock Radio |
|
86 |
| 2504 |
lstm-rcnn-pedestrian-detection
buffer51
|
Pedestrian Detection with Faster R-CNN in TensorFlow |
|
86 |
| 2505 |
mcpi
martinohanlon
|
Minecraft: Pi Edition API Python Library |
|
86 |
| 2506 |
moshmosh
thautwarm
|
An amazing syntax extension system in pure Python, the way to coding efficiency. |
|
86 |
| 2507 |
pulseaudio-mixer-cli
mk-fg
|
Interactive python/ncurses UI to control volume of pulse streams |
|
86 |
| 2508 |
gtornado
wil
|
gevent + Tornado |
|
85 |
| 2509 |
multitask_sentiment_analysis
polaroidz
|
Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for... |
|
85 |
| 2510 |
wsgid
daltonmatos
|
Run your WSGI applications as a true unix daemon. |
|
85 |
| 2511 |
NagaScan
5up3rc
|
NagaScan is a distributed passive scanner for Web application. |
|
85 |
| 2512 |
MuddyC3v1.0.1-
0xffff0800
|
This is the MuddyWater APT C3 v1.0.1 Source |
|
85 |
| 2513 |
Snowball
davidsbatista
|
Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain... |
|
85 |
| 2514 |
pydbattach
albertz
|
attach to running Python process |
|
85 |
| 2515 |
jmesh-tools
jayanam
|
Blender 2.8 mesh and hard surface utilities addon |
|
85 |
| 2516 |
wsgid
daltonmatos
|
Run your WSGI applications as a true unix daemon. |
|
85 |
| 2517 |
django-dowser
munhitsu
|
Django fork of amazing memory leaks tracking application for python wsgi - the Dowser |
|
85 |
| 2518 |
Platypus
andyrimmer
|
Platypus Variant Caller |
|
85 |
| 2519 |
head-detection-using-yolo
pranoyr
|
Detection of head using YOLO |
|
85 |
| 2520 |
fast-entry_points
ninjaaron
|
make entry_points specified in setup.py load more quickly. |
|
85 |
| 2521 |
keras-examples
aidiary
|
Kerasのサンプルプログラム |
|
85 |
| 2522 |
adversarial_text
aonotas
|
Code for Adversarial Training Methods for Semi-Supervised Text Classification |
|
85 |
| 2523 |
firefox-extension-htitle
seleznev
|
HTitle extension for Firefox, Thunderbird and SeaMonkey (discontinued) |
|
85 |
| 2524 |
graphite-metrics
mk-fg
|
metric collectors for various stuff not (or poorly) handled by other monitoring daemons |
|
85 |
| 2525 |
PrincetonAlgorithms
dvklopfenstein
|
Python implementations of selected Princeton Java Algorithms and Clients by Robert Sedgewick and ... |
|
85 |
| 2526 |
AnatomyNet-for-anatomical-segmentation
wentaozhu
|
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anato... |
|
85 |
| 2527 |
OctoPrint-PSUControl
kantlivelong
|
Control ATX/AUX power supply |
|
85 |
| 2528 |
django-postgres-fuzzycount
stephenmcd
|
Fast / fuzzy PostgreSQL counts for Django |
|
84 |
| 2529 |
vim-conda
cjrh
|
Change conda environments in the Vim editor (with Jedi-vim support) |
|
84 |
| 2530 |
python3-curso-em-video
LeandroMontanari
|
Python 3 - Curso em Vídeo |
|
84 |
| 2531 |
scene-baseline
chenyuntc
|
PyTorch baseline for AI challenger Scene classification |
|
84 |
| 2532 |
DPress
vicalloy
|
A simple blog powered by Django |
|
84 |
| 2533 |
seal
hequan2017
|
django-base-templates 主要为 django 开发DEMO, 支持 非前后端分离 和 前后端分离模式 。 |
|
84 |
| 2534 |
teye_scanner_for_book
imiyoo2010
|
《白帽子讲Web扫描》书籍参考代码 |
|
84 |
| 2535 |
oh-my-robot
akgnah
|
简明饭否机器人教程（使用 Python） |
|
84 |
| 2536 |
35c3ctf-challs
niklasb
|
|
|
84 |
| 2537 |
kiss
Bartzi
|
Code for the paper "KISS: Keeping it Simple for Scene Text Recognition" |
|
84 |
| 2538 |
sjet
siberas
|
siberas JMX exploitation toolkit |
|
84 |
| 2539 |
BOSWatch
Schrolli91
|
Python Script to process input data from rtl_fm and multimon-NG - multiple Plugin support |
|
84 |
| 2540 |
Sculpture-GAN
robbiebarrat
|
3D-DCGAN trained on a corpus of 3D printable objects - as a result, the generations are usually 3... |
|
84 |
| 2541 |
pyStatParser
emilmont
|
Simple Python Statistical Parser |
|
84 |
| 2542 |
yt
rjw57
|
|
|
84 |
| 2543 |
rosbag_to_csv
AtsushiSakai
|
Converter from ros bag to csv |
|
84 |
| 2544 |
pynvvl
mitmul
|
A Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python |
|
84 |
| 2545 |
exgdb
miyagaw61
|
Extension for GDB |
|
84 |
| 2546 |
w2n
akshaynagpal
|
Convert number words (eg. twenty one) to numeric digits (21) |
|
84 |
| 2547 |
albatar
lanjelot
|
Albatar is a SQLi exploitation framework in Python |
|
83 |
| 2548 |
In-Spectre-Meltdown
Viralmaniar
|
This tool allows to check speculative execution side-channel attacks that affect many modern proc... |
|
83 |
| 2549 |
XposedOrNot
Viralmaniar
|
XposedOrNot (XoN) tool is to search an aggregated repository of xposed passwords comprising of ~8... |
|
83 |
| 2550 |
question
blha303
|
A Flask web server for quickly asking someone a question |
|
83 |
| 2551 |
script.openvpn
brianhornsby
|
A script that allows you to control OpenVPN from within Kodi. |
|
83 |
| 2552 |
certificate_generator
juliarizza
|
Free courses & events certificate generator |
|
83 |
| 2553 |
gtzan.keras
Hguimaraes
|
[REPO] Music Genre classification on GTZAN dataset using CNNs |
|
83 |
| 2554 |
python_geospatial
carsonfarmer
|
Geospatial Data in Python Tutorial Materials |
|
83 |
| 2555 |
bookhub
JackonYang
|
eBook manager and sharing tools |
|
83 |
| 2556 |
markdown-image-alfred
kaito-kidd
|
复制本地图片或截图，快速上传图片到七牛云空间，并获取Markdown格式的图片地址。 |
|
83 |
| 2557 |
2018--ZJUAI--PyramidBoxDetector
ywcmaike
|
2018 云从人头技术冠军分享方案 |
|
83 |
| 2558 |
clean-text
jfilter
|
🧹 Python Package for Text Cleaning |
|
83 |
| 2559 |
r2m2
guedou
|
radare2 + miasm2 = ♥ |
|
83 |
| 2560 |
magicblue
Betree
|
💡 Unofficial Python API to control Magic Blue bulbs over Bluetooth |
|
83 |
| 2561 |
PyDbLite
PierreQuentel
|
A fast, pure Python in-memory database engine |
|
83 |
| 2562 |
Py6S
robintw
|
A Python interface to the 6S Radiative Transfer Model |
|
83 |
| 2563 |
django12factor
doismellburning
|
Making Django configuration more 12factor-y |
|
83 |
| 2564 |
allstate
alzmcr
|
Kaggle's Allstate Purchase Prediction Challenge |
|
83 |
| 2565 |
rl-medical
amiralansary
|
Deep Reinforcement Learning (DRL) agents applied to medical images |
|
83 |
| 2566 |
CapsNet-PyTorch
nishnik
|
My attempt at implementing CapsNet from the paper Dynamic Routing Between Capsules |
|
83 |
| 2567 |
talon_community
dwiel
|
a single source of application-specific scripts |
|
83 |
| 2568 |
ARU-Stickers
megabitsenmzq
|
ARU Stickers for iMessage |
|
83 |
| 2569 |
govspy
peterbe
|
Go vs. Python |
|
83 |
| 2570 |
talon_community
dwiel
|
a single source of application-specific scripts |
|
83 |
| 2571 |
NAF
CW-Huang
|
Experiments for the Neural Autoregressive Flows paper |
|
82 |
| 2572 |
swift_rpc
rfyiamcool
|
:octocat: use tornado to achieve rpc server |
|
82 |
| 2573 |
MachineLearningAlgorithm
lining0806
|
一些常用的机器学习算法实现 |
|
82 |
| 2574 |
browser_vuln_check
lcatro
|
browser_vuln_check ,利用已知的浏览器漏洞PoC 来快速检测Webview 和浏览器环境是否存在安全漏洞,只需要访问run.html 即可获取所有扫描结果,适用场景包含:APP... |
|
82 |
| 2575 |
ver-observer
neargle
|
Detection version of framework \ CMS \ dev-dependence on target website. |
|
82 |
| 2576 |
MyPicture
InsaneLife
|
Picture of my blog or project |
|
82 |
| 2577 |
qprotocal
gorgiaxx
|
安卓QQ协议Python库 |
|
82 |
| 2578 |
PyOpenAirMirror
tzwenn
|
An open source AirPlay mirroring server in Python for iOS 6-8 |
|
82 |
| 2579 |
ADNC
JoergFranke
|
Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task. |
|
82 |
| 2580 |
flowpipe
PaulSchweizer
|
Very simple flow-based programming framework. |
|
82 |
| 2581 |
UECompileTimesVisualizer
Phyronnaz
|
Debug compile times in Unreal Engine & MSVC projects |
|
82 |
| 2582 |
uhashring
ultrabug
|
Full featured consistent hashing python library compatible with ketama |
|
82 |
| 2583 |
pypotrace
flupke
|
Python bindings for potrace library |
|
82 |
| 2584 |
djangolint
yumike
|
Django Lint |
|
82 |
| 2585 |
coursera-data-structures-algorithms
ivankliuk
|
Coursera: Data Structures and Algorithms Specialization |
|
82 |
| 2586 |
pycobra
bhargavvader
|
python library implementing ensemble methods for regression, classification and visualisation too... |
|
82 |
| 2587 |
wipedicks
Drewsif
|
Wipe files and drives securely with randoms ASCII dicks |
|
82 |
| 2588 |
rotate-backups
adamfeuer
|
Rotate Backups - keep hourly, daily, and weekly backups |
|
82 |
| 2589 |
gerber2graphtec
pmonta
|
Cut SMT stencils from gerber files using a Graphtec cutter |
|
82 |
| 2590 |
rlai-exercises
JKCooper2
|
Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition] |
|
81 |
| 2591 |
webscreensaver
lmartinking
|
Use any web page as your screensaver. Uses Python 3/GTK3/WebKit and works with XScreensaver or XFCE. |
|
81 |
| 2592 |
geditpycompletion
fenrrir
|
Plugin for autocomplete python code on Gedit. |
|
81 |
| 2593 |
faker-schema
ueg1990
|
Generate fake data using joke2k's faker and your own schema |
|
81 |
| 2594 |
pylinkvalidator
bartdag
|
pylinkvalidator is a standalone and pure python link validator and crawler that traverses a web s... |
|
81 |
| 2595 |
warcat
chfoo
|
Tool and library for handling Web ARChive (WARC) files. |
|
81 |
| 2596 |
nzb-notify
caronc
|
Push Notifications to a large number of supported services for NZBGet and SABnzbd (based on Apprise) |
|
81 |
| 2597 |
BingC
Xyntax
|
基于Bing搜索引擎的C段/旁站查询，多线程，支持API |
|
81 |
| 2598 |
CVE-2017-7269-Echo-PoC
lcatro
|
CVE-2017-7269 回显PoC ,用于远程漏洞检测.. |
|
81 |
| 2599 |
sqli-proxy
OneSourceCat
|
|
|
81 |
| 2600 |
kaggle_human_protein_baseline
spytensor
|
Human Protein Atlas Image Classification baseline:0.456 |
|
81 |
| 2601 |
gogotester_python
NKUCodingCat
|
Tools Powered by Python to Find available Google IP for Goagent and GoProxy |
|
81 |
| 2602 |
CWS
jcyk
|
Source code for an ACL2016 paper of Chinese word segmentation |
|
81 |
| 2603 |
CF-NADE
Ian09
|
A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborati... |
|
81 |
| 2604 |
NER-Evaluation
davidsbatista
|
An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at t... |
|
81 |
| 2605 |
break
tarekziade
|
Like Boom, but based on Molotov |
|
81 |
| 2606 |
ashttp
JulienPalard
|
Shell command, that expose any other command as http. To expose top as http, try : ashttp -p8080 ... |
|
81 |
| 2607 |
pybootd
eblot
|
A minimalist bootp/dhcp/pxe and tftp server |
|
81 |
| 2608 |
DenseNet-NLP
lethienhoa
|
Tensorflow implementation of Very Deep Convolutional Networks for Natural Language Processing |
|
81 |
| 2609 |
django-cas-server
nitmir
|
A Django Central Authentication Service server implementing the CAS Protocol 3.0 Specification |
|
81 |
| 2610 |
Pyonic-interpreter
inclement
|
A Python interpreter for Android. |
|
81 |
| 2611 |
NLPBot
edbullen
|
Simple ChatBot introducing NLP and Machine Learning for Classification of Sentences |
|
81 |
| 2612 |
whois
marklit
|
Collects WHOIS details for every IPv4 netblock. Reports supported via Elasticsearch. |
|
81 |
| 2613 |
handy
Suor
|
Handy django tools |
|
81 |
| 2614 |
pyformat
myint
|
Formats Python code to follow a consistent style |
|
81 |
| 2615 |
resnet-tf
xuyuwei
|
ResNet Implementation in TensorFlow |
|
80 |
| 2616 |
rnn-handwriting-generation
snowkylin
|
Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neur... |
|
80 |
| 2617 |
tunet-python
yuantailing
|
TUNet 2018 认证协议的纯 python 实现，含 auth4 / auth6 / net 认证。适用于服务器在无人交互时自动认证（关键词 net.tsinghua THU Auth 清华校园网） |
|
80 |
| 2618 |
Pytorch-Person-REID-Baseline-Bag-of-Tricks
wangguanan
|
A simple and clear re-implementation of the strong person re-identification baseline (bag of tricks). |
|
80 |
| 2619 |
TweetPony
Mezgrman
|
A Twitter library for Python |
|
80 |
| 2620 |
choose
geier
|
make choices on the command line |
|
80 |
| 2621 |
spylearn
ogrisel
|
Repo for experiments on pyspark and sklearn |
|
80 |
| 2622 |
poincare_embeddings
nishnik
|
NumPy implementation of Poincaré Embeddings for Learning Hierarchical Representations (Facebook Research) |
|
80 |
| 2623 |
allpairspy
thombashi
|
A python library for test combinations generator. The generator allows one to create a set of tes... |
|
80 |
| 2624 |
django_linter
geerk
|
Linter for django projects |
|
80 |
| 2625 |
django-mail-queue
dstegelman
|
Django app for queueing up and sending mail. Nothing too special. |
|
80 |
| 2626 |
git-largefile
methane
|
Store binary files in git to S3 |
|
45 |


Jessica Dengler's Web161 Test Page
TheW3C
|
WHATEWG Community
|
w3 Schools
|
LinkedIn Learning Library
This is my first test web page for my Web 161: Web Authoring 1