Hello World
A program to greet the planet.
This page is an attempt to greet everyone on Earth using our various human languages. We're interested to see how long our list can become.
We'll start with languages that the Epicodus staff could offer without using Google.
- English: Hello, world!
Spanish: Hola, mundo!
- Japanese: Konnichiwa, sekai!
- French: Bonjour, monde!
- Kinyarwanda: Mwirwe, isi!
- German: Guten tag, Welt!
- Pig Latin: ello-hay, orld-way
- Latin: Salve Mundum!


Inertia
✈ Effortless, self-hosted continuous deployment for small teams and projects
Main Features
- 🚀 Simple to use - set up a deployment from your computer without ever having to manually SSH into your remote
- 🍰 Cloud-agnostic - use any Linux-based remote virtual private server provider you want
- ⚒ Versatile project support - deploy any Dockerfile or docker-compose project
- 🚄 Continuous deployment - Webhook integrations for GitHub, GitLab, and Bitbucket means your project can be automatically updated, rebuilt, and deployed as soon as you
git push
- 🛂 In-depth controls - start up, shut down, and monitor your deployment with ease from the command line or using Inertia's REST API
- 🏷 Flexible configuration - branch deployment, environment variables, easy file transfer for configuration files, build settings, and more
- 📦 Built-in provisioning - easily provision and set up VPS instances for your project with supported providers such as Amazon Web Services using a single command
- 👥 Built for teams - provide shared access to an Inertia deployment by adding users
- 🔑 Secure - secured with access tokens and HTTPS across the board, as well as features like 2FA for user logins
Inertia is a simple cross-platform command line application that enables quick and easy setup and management of continuous, automated deployment of a variety of project types on any virtual private server. The project is used, built, and maintained with ❤ by UBC Launch Pad, UBC's student-run software engineering club.
UBC Launch Pad is a student-run software engineering club at the University of British Columbia that aims to provide students with a community where they can work together to build a all sorts of cool projects, ranging from mobile apps and web services to cryptocurrencies and machine learning applications.
Many of our projects rely on hosting providers for deployment. Unfortunately we frequently change hosting providers based on available funding and sponsorship, meaning our projects often need to be redeployed. On top of that, deployment itself can already be a frustrating task, especially for students with little to no experience setting up applications on remote hosts. Inertia is a project we started to address these problems.
This site primarily documents how to set up and use Inertia - to learn more about the project, check out our GitHub repository! Additional resources you might want to consult include:
Getting Started
MacOS users can install the CLI using Homebrew:
brew install ubclaunchpad/tap/inertia
Windows users can install the CLI using Scoop:
scoop bucket add ubclaunchpad https://github.com/ubclaunchpad/scoop-bucket
scoop install inertia
The Inertia command line interface (CLI) can be installed from a few package managers such as Homebrew or Scoop. For other platforms, you can download the appropriate binary from the Releases page.
You can also build Inertia from source, though this requires Golang to be installed.
To verify your installation, try running inertia --help
- this should output
some helpful text about Inertia.
Run inertia --version
to verify that you have the
latest release.
Setup
This will generate a configuration file inside your repository:
cd /path/to/project
inertia init
To set up Inertia, you must first navigate to your project directory, which
must be a git repository, and run inertia init
to set up configuration. If
Inertia cannot detect your project type, it will prompt for more information.
If you haven't yet, Inertia will also instantiate a global configuration file
for you. To create this file separately, run inertia init --global
.
Project Configuration
An example
inertia.toml
:
name = "my_project"
url = "git@github.com:ubclaunchpad/my_project.git"
[[profile]]
name = "default"
branch = "master"
[profile.build]
type = "dockerfile"
buildfile = "Dockerfile"
To change a setting, you can edit the configuration file directly, or run:
inertia project set ${parameter} ${new_value}
Profiles can be updated or created using the
inertia project profile
commands:
inertia project profile configure new_profile \
--build.type dockerfile \
--build.file Dockerfile.dev
Your Inertia configuration is stored in inertia.toml
by default. There are
a few project-wide settings stored here:
| Parameter | Description |
|---|---|
version |
Minimum version of Inertia CLI required by this configuration. |
name |
The name of the project you are deploying. |
url |
Your project source, typically your Git repository. |
A profile
configures how to run your project, and you can set multiple profiles
to declare different 'modes' of deploying your project (for example, to differentiate
between a staging
and dev
deployment). A profile
contains the following
fields:
| Parameter | Description |
|---|---|
name |
The name of your profile - must be unique. |
branch |
The git branch of your project to continuously deploy. |
build.type |
This should be either dockerfile or docker-compose , depending on which you are using. |
build.buildfile |
Path to your build configuration file, such as Dockerfile or docker-compose.yml , relative to the root of your project. |
Deploying Your Project
When deploying a project, you typically deploy to a "remote".
A "remote" is a remote VPS, such as a Google Cloud Compute or AWS Elastic Cloud Compute (EC2) instance. These are computers in the cloud that will be used to deploy your project, so that you don't have to use your own.
If this is your first time setting up a VPS, jump ahead to the Provisioning a Remote section, which will help you set up a VPS for Inertia.
Using an Existing Remote
This command will prompt you for the path to your PEM file, your username, and the IP address of your remote. These parameters will be used to execute SSH commands that set up Inertia on your VPS.
inertia remote add ${remote_name}
inertia remote ls
To use an existing remote, you'll need its address and a PEM key that can be
used to access it. Inertia will also need a few ports exposed, namely one for
the Inertia daemon (port 4303
by default) and whatever ports you need for your
deployed project.
Configured remotes are stored globally in ~/.inertia/inertia.remotes
.
Provisioning a Remote
inertia provision --help
inertia provision ${cloud_provider} ${remote_name}
Inertia has integrations with some cloud providers to allow you to easily provision a new VPS instance and set it up for Inertia. This includes generating key pairs, setting network rules, and initializing the Inertia daemon.
You can use the --help
on the provision
command to see what options are
available.
Example: Provisioning an EC2 Instance
Elastic Cloud Compute (EC2) is a service provided by Amazon Web Services (AWS) that can be used to deploy Inertia projects. It offers 750 free EC2 hours a month for your first 12 months, which is just enough for 1 EC2 VPS instance. Even after the trial it's pretty affordable, and a good choice to get started with.
The IAM users page:
To get started, make an account on the AWS website. If you're a student, you'll also be eligible for yearly free credits, so make sure you sign up for that as well.
Next, you'll want to head over to the IAM page of the AWS Management Console. IAM stands for "Identity and Access Management", and this is where you'll configure programmatic access to your AWS account. Under the "Users" tab, click "Add User".
Configuring IAM permissions:
This will take you through a brief walkthrough to configure your new IAM user:
- Page 1 - make sure you enable Programmatic Access to tell AWS to generate access keys for your new user - Inertia will need this.
- Page 2 - make sure to choose a permission set that allows the user to manipulate EC2 resources, such as AmazonEC2FullAccess (this will be under the 3rd tab titled "Attach existing policies directly").
- Page 3 - don't worry about setting tags, as these are typically used for organizations with large numbers of users.
- Page 4 - confirm that you've configured the user correctly
- Page 5 - you should be shown a Access Key ID and a Secret access key. Copy these somewhere safe!
# set credentials in environment
export AWS_ACCESS_KEY=${access_key_id}
export AWS_SECRET_KEY=${secret_access_key}
inertia provision ec2 my_remote \
--from-env \
--ports 8080
This command says: "provision an ec2 instance called 'my_remote' using credentials in my environment and expose port 8080 for my project".
Now that you have your user and access keys all set up, you can provision your
remote instance! Just set your keys in your
shell environment
and use the --from-env
flag as in the example to provision a remote using
those credentials.
Alternatively, you can save your credentials in your
AWS credentials file.
To use these with Inertia, just call the provision ec2
command with the
--from-profile
flag.
Inertia will just prompt you for the keys if you don't provide them using one of the methods above.
The provisioning command will ask you to choose a region and an image to use. The region should probably be whatever is closest to you, and then you should just choose one of the images that Inertia lists as options.
Inertia will then create an EC2 instance, generate a key pair to give you SSH access to the remote, set up network rules, install Inertia's prerequisites on your remote, and spin up the Inertia daemon!
Remote Configuration
List and show your configured remotes:
inertia remote ls
inertia remote show ${remote_name}
An example
~/.inertia/inertia.remotes
:
# ... other stuff
[[remote]]
version = "latest"
name = "staging"
ip = "123.456.789.123"
[remote.ssh]
user = "root"
identityfile = "~/.ssh/id_rsa"
ssh-port = "22"
[remote.daemon]
port = "4303"
token = "weRO5gfUoXFQuBnLuJewGvBehf7A4yVUHxKSF0f3FFc"
webhook-secret = "ubclaunchpad"
verify-ssl = false
[remote.profiles]
"my_project" = "default"
[[remote]]
# ... another remote
To change a setting, you can edit the configuration file directly, or run:
inertia remote set ${remote_name} ${parameter} ${new_value}
For example, the following will change the SSH user for accessing
my_remote
tome
and print out the new settings:
inertia remote set my_remote ssh.user me
inertia remote show my_remote
Once you've added a remote, remote-specific settings are available in
~/.inertia/inertia.remotes
.
| Parameter | Description |
|---|---|
version |
This should match the version of your Inertia CLI, which you can see by running inertia --version . It is used to determine which version of the Inertia daemon to use. |
name |
The name of your remote instance - must be unique. |
ip |
This is the address of your remote instance. It's how other users will access your deployed project as well! |
ssh.user |
The user to use to execute commands as on your remote instance. |
ssh.identityfile |
The key to use when executing SSH commands on your remote instance. |
ssh.ssh-port |
The SSH port on your remote instance - you usually don't need to change this. |
daemon.port |
The port that the Inertia daemon is using - you can usually leave this as is. |
daemon.token |
This is the token used to authenticate against your remote, and will be populated when you initialize the Inertia daemon later. You can also log in as a user to get a token. |
daemon.webhook-secret |
This is used to verify that incoming webhooks are authenticate - you'll need this later! |
daemon.verify-ssl |
Toggle whether or not to verify SSL communications for the daemon's API - false by default. |
Profiles
inertia project profile apply ${profile_name} ${remote_name}
inertia ${remote_name} up
The profiles
section under the remote configuration defines
default profiles to use when deploying a project. If none is configured, Inertia
looks for a profile named default
.
See the Project Configuration section for how to set up profiles for your project.
Initializing the Inertia Daemon
inertia ${remote_name} init
# ... lots of output
Initializing the Inertia daemon means installing Docker, setting up some prerequisites, downloading the Inertia daemon image, and getting it up and running. Luckily, this is all done by a single, handy command so you don't have to worry about it!
The Inertia daemon is a small agent that runs on your VPS instance and handles all your deployment-related needs, such as responding to commands and listening for updates to your repository. You can read more about this in the Deployment Management section.
Configuring Your Repository
The
inertia ${remote_name} init
orprovision
command's output should include something like the following:
GitHub Deploy Key (add here https://www.github.com/<your_repo>/settings/keys/new):
ssh-rsa <...> # this is important!
GitHub WebHook URL (add here https://www.github.com/<your_repo>/settings/hooks/new):
http://myhost.com:4303/webhook # this is important!
Github WebHook Secret: inertia # this is important!
The inertia ${remote_name} init
or provision
command outputs several key
pieces of information to get your repository set up for continuous deployment:
- A deploy key: you need to allow this key read access to your repository. On GitHub, this is under your project's "Settings -> Deploy Keys" tab. This will allow the Inertia daemon to clone your project.
- A webhook URL and webhook secret: you'll need to register the Inertia daemon for webhook updates to let it automatically deploy your latest changes. On GitHub, this is under your project's "Settings -> Webhooks" tab.
inertia ${remote_name} up
Deployment Management
To bring your project online and check its status:
inertia ${remote_name} up
inertia ${remote_name} status
To shut down your project:
inertia ${remote_name} down
The main commands used to control your deployed project are up
, status
, and
down
. These commands are associated with the state of your project, not with
that of the Inertia daemon - inertia ${remote_name} down
, for example, will
not shut down the Inertia daemon.
Commands like up
will provide live output to your terminal. It's pretty normal
for up
to take a while, depending on the performance of your VPS, as it needs
some time to build your project.
Monitoring
inertia ${remote_name} logs
To view the logs of a specific process, get the list of active containers, then query for the logs of the container you are interested in:
inertia ${remote_name} status
inertia ${remote_name} logs ${container_name}
TODO: details
Secrets Management
Environment variables are a good way to store secrets:
inertia ${remote_name} env set ${key} ${value}
If you use configuration files such as a
.env
file, you can "send" it to your remote - this file will then become accessible by your project:
inertia ${remote_name} send ${file_name}
TODO: details
Teams
Configuring Users
The following command will prompt for a password, and add the given user as an administrator:
inertia ${remote_name} user add ${username} --admin
To list existing users:
inertia ${remote_name} user ls
Access can be revoked for a user by removing them:
inertia ${remote_name} user rm ${username}
TODO
Logging In
If you want to log in to a remote you have already configured as a specific user, you can run:
inertia ${remote_name} login ${username}
TODO
Upgrading
Install the latest release - for example, on MacOS:
brew upgrade ubclaunchpad/tap/inertia
inertia --version # verify installation
To update configuration and daemon to match CLI version:
inertia ${remote_name} upgrade --all
The version of Inertia you are using can be seen in Inertia's inertia.toml
configuration file, or by running inertia --version
. The version in
inertia.toml
is used to determine what version of the Inertia daemon to use
when you run inertia ${remote_name} init
.
You can manually change the daemon version used by editing the Inertia
configuration file. If you are building from source, you can also check out the
desired version and run make inertia-tagged
or make RELEASE=$STREAM
.
Inertia daemon releases are tagged as follows:
v0.x.x
denotes official, tagged releases - these are recommended.latest
denotes the newest builds onmaster
.canary
denotes experimental builds used for testing and development - do not use this.
You can see the list of available tags in the GitHub Container Registry.
Advanced Usage
This section details various advanced usage tips. If you can't find what you're
looking for here, try using the --help
flag on relevant commands - Inertia
will display help text and all the different options available to you.
A complete command reference for the Inertia CLI is also available here. To interact with the daemon API directly, refer to the API reference.
Troubleshooting
To view more of the Inertia daemon's logs (the number of entries retrieved is capped by default), run:
inertia ${remote_name} logs --entries 100000
inertia ${remote_name} logs ${container} --entries 100000
Inertia is a large and rather complex project, and as such you might encounter bugs, either because of Inertia or due to some kind of misconfiguration.
The Inertia daemon outputs a lot of verbose logs that might help you out. You
can also make use of the inertia ${remote} status
command to output details
about the state of your deployment. Also pay attention to the output of the
Inertia CLI when things go awry - it might hint at what happened, and it'll be
useful context if you decide to open a ticket.
To start an SSH session with your remote, you can use the shortcut:
inertia ${remote_name} ssh
If you are more experienced, you can SSH into your remote to investigate. This lets you access more advanced Docker commands and whatever else you might need to work out what is happening.
2-Factor Authentication
inertia ${remote_name} user totp enable ${username}
inertia ${remote_name} user totp disable ${username}
2-factor authentication configuration in Inertia is available under the
inertia ${remote_name} user totp
commands.
TOTP stands for "time-based one-time password". Enabling TOTP on an account means that whenever a user logs in using that account, they must also verify their identity using a separate authenticator app, which provides a secondary factor of authentication - hence why it is called "2-factor authentication".
There are a wide range of authenticator apps out there, for example:
To log in as a totp-enabled user, you'll have to provide your TOTP or backup code as a flag:
inertia ${remote_name} user login ${username} --totp ${code}
When you enable TOTP on an account, Inertia will output a QR code that you can scan using your authenticator app, as well as a list of backup codes you should keep somewhere safe. When you log in using a TOTP-enabled account, you'll need to provide the TOTP generated by your authenticator app to log in, or one of the backup codes.
Resource Management
To clear out unused Docker images and containers:
inertia ${remote_name} prune
You can also interact with Docker directly over SSH:
inertia ${remote_name} ssh
root@remote:~$ docker container ls -a
Inertia does its best to manage resources on its own, but sometimes spare containers and images start gathering and you might find your remote starting to run out of storage (especially if it is a free/budget instance with low storage).
Inertia offers a few ways of managing resources, either through commands like
prune
or directly over SSH.
Persistent Data
If your project depends on data on disk that must be persisted across builds, you can
take advantage of a /persist
directory that is mounted into your project when it is
deployed. Data in this directory is not ephemeral and persists across deployments.
Generating API Keys
inertia ${remote_name} token
If you want to develop integrations with Inertia, you'll probably want a non-expiring API token, which you can generate using Inertia if you have SSH access to your remote. Be careful not to lose these tokens.
curl -H "Authorization: Bearer ${token}" \
https://${remote_ip}:${daemon_port}/status
To use these tokens, you can place them in your inertia.toml
under token
, or
use them in requests to the Inertia API by placing them as a Bearer
token in
your request header under Authorization
.
Custom SSL Certificate
By default, the Inertia daemon generates a self-signed SSL certificate for its API. This means that Inertia, by default, doesn't verify SSL communications, and you'll have to do things like disable SSL verification in your repository for webhooks.
inertia ${remote_name} --verify-ssl status
If you provide your own SSL certificate, you can enable SSL verification in
Inertia using the --verify-ssl
flag, and enable SSL verification in your
repository's webhook deliveries as well.
Just place your SSL certificate and key on your remote in ~/.inertia/ssl
as
daemon.cert
and daemon.key
respectively, and the Inertia daemon will use
them automatically.
Intermediary Containers
name = "my_project"
# ...
[[profile]]
# ...
[profile.build]
# ...
intermediary_containers = [ "nginx" ]
You can declare "intermediary" containers used during builds that don't persist for the lifetime of your project - for example, containers that run tasks. This tells the Inertia daemon not to worry if it detects that containers with the given names die.
Miscellaneous
Learn More
Some quick links to help you get started:
Check out our GitHub repository and Wiki!
Swag
[![Deployed with Inertia](https://img.shields.io/badge/deploying%20with-inertia-blue.svg)](https://github.com/ubclaunchpad/inertia)
Add a cool Inertia badge to your README if you use Inertia!
![inertia status](https://img.shields.io/endpoint?url=https://INERTIA_ADDRESS:4303/status?badge=true)
A live status badge is also available - just replace INERTIA_ADDRESS
in the example with the
address of your Inertia daemon and you'll be able to check on the status of your project using
the badge!
Contributing
Any contribution (pull requests, feedback, bug reports, ideas, etc.) is welcome!
You can report issues with documentation, bugs, or anything via our issue tracker.
For development, please see our contribution guide for contribution guidelines as well as a detailed guide to help you get started with Inertia's codebase.


An online tool for conducting Remote Cognitive Walkthroughs
Thank you for participating in this study. This work is affiliated with the UBC course “CPSC 544” (101). Please note that we are seeking undergraduate university students.
The overall purpose of this research is evaluate the efficacy of a method of reducing smart device screen time for undergraduate students.
This should take about 30-45 minutes and be completed in one session. The sessions will also be video and/or audio recorded. Please let us know if you are uncomfortable with the recording. I/we will respond to any questions or concerns that you may have.
There is no compensation for participating in this study.
The results of your participation will be reported without any reference to you specifically. All information that you provide will be stored in Canada. It will be treated confidentially and your identity will not be revealed in reporting the study results. The two exceptions are: (1) excerpts from the video/audio recording in which a participant can be identified may be presented in a class project presentation (but any other presentation venue, such as a scholarly conference, will require that participants be non-identifiable in the video/images), and (2) we request but cannot enforce focus group members to keep discussions from any focus group confidential.
Identifiable data and video/audio recordings will be stored securely in a locked metal cabinet or in a password protected computer account. All data from individual participants will be coded so that their anonymity will be protected in any reports, research papers, thesis documents, and presentations that result from this work.


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This section describes a much more interested example of string iteration and the accumulator pattern. Even though it seems like we are doing something that is much more complex, the basic processing is the same as was shown in the previous sections.
In 1968 Astrid Lindenmayer, a biologist, invented a formal system that provides a mathematical description of plant growth known as an L-system. L-systems were designed to model the growth of biological systems. You can think of L-systems as containing the instructions for how a single cell can grow into a complex organism. L-systems can be used to specify the rules for all kinds of interesting patterns. In our case, we are going to use them to specify the rules for drawing pictures.
The rules of an L-system are really a set of instructions for transforming one string into a new string. After a number of these string transformations are complete, the string contains a set of instructions. Our plan is to let these instructions direct a turtle as it draws a picture.
To begin, we will look at an example set of rules:
| A | Axiom |
| A -> B | Rule 1 Change A to B |
| B -> AB | Rule 2 Change B to AB |
Each rule set contains an axiom which represents the starting point in the transformations that will follow. The rules are of the form:
left hand side -> right hand side
where the left and side is a single symbol and the right had side is a sequence of symbols. You can think of both sides as being simple strings. The way the rules are used is to replace occurrences of the left hand side with the corresponding right hand side.
Now let’s look at these simple rules in action, starting with the string A:
A
B Apply Rule 1 (A is replaced by B)
AB Apply Rule 2 (B is replaced by AB)
BAB Apply Rule 1 to A then Rule 2 to B
ABBAB Apply Rule 2 to B, Rule 1 to A, and Rule 2 to B
Notice that each line represents a new transformation for entire string. Each character that matches a left-hand side of a rule in the original has been replaced by the corresponding right-hand side of that same rule. After doing the replacement for each character in the original, we have one transformation.
So how would we encode these rules in a Python program? There are a couple of very important things to note here:
Let’s look at a simple Python program that implements the example set of rules described above.
Try running the example above with different values for the numIters parameter. You should see that for values 1, 2, 3, and 4, the strings generated follow the example above exactly.
One of the nice things about the program above is that if you want to implement a different set of rules, you don’t need to re-write the entire program. All you need to do is re-write the applyRules function.
Suppose you had the following rules:
| A | Axiom |
| A -> BAB | Rule 1 Change A to BAB |
What kind of a string would these rules create? Modify the program above to implement the rule.
Now let’s look at a real L-system that implements a famous drawing. This L-system has just two rules:
| F | Axiom |
| F -> F-F++F-F | Rule 1 |
This L-system uses symbols that will have special meaning when we use them later with the turtle to draw a picture.
| F | Go forward by some number of units |
| B | Go backward by some number of units |
| - | Turn left by some degrees |
| + | Turn right by some degrees |
Here is the applyRules function for this L-system.
def applyRules(ch):
newstr = ""
if ch == 'F':
newstr = 'F-F++F-F' # Rule 1
else:
newstr = ch # no rules apply so keep the character
return newstr
Pretty simple so far. As you can imagine this string will get pretty long with a few applications of the rules. You might try to expand the string a couple of times on your own just to see.
The last step is to take the final string and turn it into a picture. Let’s assume that we are always going to go forward or backward by 5 units. In addition we will also assume that when the turtle turns left or right we’ll turn by 60 degrees. Now look at the string F-F++F-F. You might try to us the explanation above to show the resulting picture that this simple string represents. At this point its not a very exciting drawing, but once we expand it a few times it will get a lot more interesting.
To create a Python function to draw a string we will write a function called drawLsystem The function will take four parameters:
def drawLsystem(aTurtle,instructions,angle,distance):
for cmd in instructions:
if cmd == 'F':
aTurtle.forward(distance)
elif cmd == 'B':
aTurtle.backward(distance)
elif cmd == '+':
aTurtle.right(angle)
elif cmd == '-':
aTurtle.left(angle)
else:
print('Error:', cmd, 'is an unknown command')
Here is the complete program in activecode. The main function first creates the L-system string and then it creates a turtle and passes it and the string to the drawing function.
Feel free to try some different angles and segment lengths to see how the drawing changes.


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England
Great Britain
John Brown
13/25 New Avenue
New Heaven
45Y 73J
England
Great Britain


Welcome! You can find all of my posts on this page. [tags: all]
Personal [tags: personal, books]
- [Ongoing] : Book Reviews!
- 3/13/20: Five things I learned from my first job out of college
- 3/08/20: A List of Favorites, circa 2017
- 3/03/20: Notes on “Winners Take All” by Anand Giridharadas
Academic [tags: academic, r]
I wrote about statistical learning, based on notes from Intro to Statistical Learning by James, Witten, Hastie, and Tibshirani.
- 4/21/20: An Introduction to Statistical Learning
- 4/22/20: Linear Regression
- 4/24/20: Classification
- 4/25/20: Resampling Methods
- 4/27/20: Linear Model Selection and Regularization
- 4/30/20: Moving Beyond Linearity
- 5/01/20: Tree-Based Methods
- 5/02/20: Support Vector Machines
- 5/04/20: Unsupervised Learning
I wrote about the basics of using R for data science, based loosely on R for Data Science by Grolemund and Wickham.
- 2/12/20: Basic Data Visualization in R
- 2/15/20: Basic Data Transformation in R
- 2/16/20: Basic Data Exploration in R
- 2/17/20: High-Level Data Wrangling in R: Imports, Pivots, and Joins
- 2/18/20: Data Wrangling in R: Strings
- 2/21/20: Data Wrangling in R: Factors
- 2/22/20: Data Wrangling in R: Dates and Times
- 2/24/20: Programming in R: Pipes, Functions, and Vectors
- 2/24/20: Programming in R: Iteration
- 2/28/20: Model Building in R
- 3/04/20: Creating Simple Documents with R Markdown
- 3/05/20: Graphing in R for Effective Communication


When it comes time to reach out, we are here for you. If you have a question or comment about our products we'd love to hear. Please fill out the form below and we will reach out to you within 12 minutes.


Kozhikode:"A colonial city of trade and tourism"
Formerly known as Calicut, Kozhikode is located in Kerala. It was the Capital of Malabar during the Zamorin rule 500 years ago and is famous for its centuries-old trade in cotton and spices with Jews, Arabs, Phoenicians and Chinese. Basking in the idyllic setting of the serene Arabian Sea on the west and the proud peaks of the Wayanad hills on the east, this district with the serene beaches, lush green countryside, historic sites, all combine to make Kozhikode a popular tourist destination.
Vasco da Gama had set his foot on the remote beach of Kappad in Kozhikode in 1498 and 'Discovered India' and established spice trade routes with the west. Kozhikode city is the marketing centre for commodities like pepper coconut, coffee, rubber, lemongrass oil etc., produced in Kozhikode and the neighbouring districts of Wayanad, Malappuram and Kannur. Being the major trade centre in Malabar and major exporter to foreign countries, the international travellers christened this district as ‘the noble emporium of India’.
Top Destinations
Kozhikode Beach
Kadalundi Bird Sanctuary
Pazhassiraja Archaeological
Sarovaram Bio Park
Formerly known as Calicut, Kozhikode is located in Kerala. It was the Capital of Malabar during the Zamorin rule 500 years ago and is famous for its centuries-old trade in cotton and spices with Jews, Arabs, Phoenicians and Chinese. Basking in the idyllic setting of the serene Arabian Sea on the west and the proud peaks of the Wayanad hills on the east, this district with the serene beaches, lush green countryside, historic sites, all combine to make Kozhikode a popular tourist destination. Vasco da Gama had set his foot on the remote beach of Kappad in Kozhikode in 1498 and 'Discovered India' and established spice trade routes with the west. Kozhikode city is the marketing centre for commodities like pepper coconut, coffee, rubber, lemongrass oil etc., produced in Kozhikode and the neighbouring districts of Wayanad, Malappuram and Kannur. Being the major trade centre in Malabar and major exporter to foreign countries, the international travellers christened this district as ‘the noble emporium of India’.


It's expected that you see a favicon displayed for this page when you open it as a local file.
The favicon looks like this:


This will save the export.csv file generated in memory to your downloads folder. You can only open a file you have saved. And this helper will be tied to this application. You should see app1 and app2 have automatically launched when you npm install/npm start the demo and each have their own helper.
If you try to save a file that is currently open an error will be returned and you can use the file-helper.js module as an example on how to check for errors.
The native helper will create a log file in your OpenFin/apps/app-name directory. There will be an assets folder and if you drill down you will find a logging folder with logs containing supporting information.
This example initialises the file-helper module to get the native helper when the page loads (the buttons will show once it has been fetched). If you want to do this lazily then you can skip calling init and it will be fetched the first time you try to save (although there may be more of a delay)
Async Save & Open uses setTimeout with a 5 second wait before using the file-helper.js saveAndOpenFile function to show that the helper can be used from a button click as well as something scheduled on the event loop.


std.out - a blog
Productivity
Day 0: How to make your first day great!
7:50 AM October 24th, 2017
As a recent grad, I just started my first job as a software engineer at a tech company. Even after a few internships, the step to fulltime is still a new milestone.<[firehose drinking gif here]>
Day 0:
On my first day, I feel the most important part is to have a structured approach to everything: technical and social challenges.Learn the Development Environment: Firstly, I tried to learn more about the new software development cycle environment. For me, this was AGILE. There exist great resources on learning the OODA Loop philosophy such as link here.
Use the Development Environment Tools: Secondly, after applying what I know about the software development cycle, I utilize the development tools like Jira. In Jira, I can look at what epics the team is working on currently and get a better idea of the systems the team owns by their referenced links to github repos and associated documentation.
Figure out your role: After getting a general idea of the team's systems through documentation. I reach out to my team. Within the first week or two of starting, I like to schedule some time with each of my coworkers to ask them:
Permissions!!! An underrated topic is permissions: make sure you have all the permissions you need to the systems you want. This may have been overlooked by whomever sets these settings.


You know something baby?

And I promise
to put a smile
on that face
no matter what!
I love you so much baby!
A very happy birthday!
Made with so much of ❤ by Abhishek Chhabra


EastEnders SPOILERS: Martin tries to kiss Ruby
Martin recently ended his relationship with wife Stacey
by Charlotte RodriguesMartin makes a move on Ruby in next week's EastEnders, but how will she react?
Ruby has a busy week when she helps Ian hold an event to plug his Walford Councillor campaign and he is desperate to impress. However his reputation is compromised when an unwelcome visitor turns up.
Ruby quickly becomes annoyed with Ian and takes matters into her own hands.
Meanwhile, Max is worried Ruby is avoiding him.
Later Ruby moves into The Vic with Mick and Ollie as part of the wife swap competition.
As she's in the pub, she's shocked when she overhears that Martin and Stacey's relationship is over.
As Ruby unwillingly continues to help Ian with his campaign, Ian coerces Martin into getting involved.
But it's not long before things get awkward as Ian winds up Martin by mentioning Stacey.
Read More: EastEnders SPOILERS: Linda arrested for drink driving
Martin quickly loses his temper and shares some harsh words with Ian.
Later, Mick, Linda, Ruby and Max have a drink together in The Vic, but it's not long before drama erupts...
Read More: FIRST LOOK: Next week's EastEnders in 10 pictures
Martin makes a quick exit from the pub and Ruby is quick to follow. Worried about Martin, she insists he stays at her flat.
An emotional Martin thanks Ruby for the support and as the pair talk, Martin leans into kiss her but stops himself.
How will Ruby react? And will this be the last time he makes a move - or does he genuinely have feelings for his estranged wife's best friend?
Is an affair on the cards?
EastEnders airs Monday and Friday at 8pm and Tuesday and Thursday at 7.30pm on BBC One.
Leave us a comment on our Facebook page @EntertainmentDailyFix and let us know what you think!


Yelb
Welcome to Yelb, the only hub for healthy food recommendations!
IHOP
Pancakes
, for a powerful start!
Pancakes - Recipe
Chipotle
Burritos
, for a mid-day break!
Burritos - Recipe
Outback
Blooming onion
, what else?
Steak - Recipe
Buca di Beppo
Lasagne
, this is heaven!
Lasagne - Recipe
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Common Cloud Experiences Patterns and Libraries
Clarity Design System


Form-Based Authentication
- Username and Password
- This allows you to configure the username and password for a User that may be used during Attack Mode actions (Spider Scan and Active Scan).
- This allows you to configure the username and password for a User that may be used during Attack Mode actions (Spider Scan and Active Scan).
- Logged in Indicator
- The Logged in indicator, when present in a response message (either the header or the body), signifies that the response message corresponds to an authenticated request.
e.g. presence of a logout link or a Welcome back, User X pattern.
Info: Indicator should be a Regex in the form of:
.\Qlogout=\E.
- The Logged in indicator, when present in a response message (either the header or the body), signifies that the response message corresponds to an authenticated request.
- Login Form Target URL
- The URL to which the authentication request is done by submitting a form or performing a GET request using a username/password pair of authentication credentials.
- The URL to which the authentication request is done by submitting a form or performing a GET request using a username/password pair of authentication credentials.
- Username Parameter and Password Parameter
- Parameter that contains the value for the username and password of the User respectively. See here for more information.
- Parameter that contains the value for the username and password of the User respectively. See here for more information.
- Extra POST Data
- Additional post data to be sent with the authentication request.
Info: If the login request is in the form of:
username=admin&password=secret&login=true
, then the value for Extra POST Data should be:action=Login
- Additional post data to be sent with the authentication request.


0.0.1
Classes dedicated to memory access/management.
Lightweight Heap class used to very naively allocate memory within an ArrayBuffer. Thread safe. Uses a stack approach to memory allocation/deallocation, only when the last memory block in the stack is freed the allocatable memory increases.
((ArrayBuffer | SharedArrayBuffer | number))
The buffer to use or the size in bytes to allocate.
The memory buffer managed by this heap.
(ArrayBuffer | SharedArrayBuffer)
:
Total memory used. Freeing a memory block doesn not guarantee that this number will increase.
number
:
The memory address that will be assigned to the next allocation.
number
:
Allocates a new memory block. The allocated memory is rounded up to the nearest multiple of 4 and padded by 4 bytes at the end of the block.
(number)
The amount of memory, in bytes, to allocate.
MemoryBlock
:
Allocates a new memory block and guarantees that the memory block will be empty.
(number)
The amount of memory, in bytes, to allocate.
MemoryBlock
:
Frees the specified memory block. Memory is not reusable until the memory stack can be reduced by freeing the last allocated memory block.
(MemoryBlock)
The memory block to free.
Class to encapsulate an ArrayBuffer with utility views to read/write data.
(Heap)
The heap which will contain the memory.
(number)
The byte address of the beginning of the memory.
(number)
The size, in bytes, of this memory block.
The ArrayBuffer this memory is tied to.
(ArrayBuffer | SharedArrayBuffer)
:
A DataView instance bound to the memory accessible by this memory block.
DataView
:
Frees this memory block, this function just calls free
on the heap.
This class represents a position in a memory block.
((Heap | MemoryBlock))
The memory to which this Pointer will be bound to.
(number?
= 0
)
The address of this pointer relative to the memory it is bound to.
(Type?
= Types.Uint8
)
The type of this pointer, defaults to Uint8.
Returns the memory this pointer is bound to.
(Heap | MemoryBlock)
:
The address of this pointer relative to the memory it is bound to.
number
:
Sets the address of this pointer relative to the memory it is bound to.
(number)
The new address.
Sets the type of this pointer, think of it as "casting".
(Type)
The new type of this pointer.
Given its type, sets the numeric value at this pointer's address.
(number)
The value to set.
Type base class, utilities and primitive type definitions.
Class used to create runtime types, default primitive types are provided.
Inspects the specified type and returns it's size. This method is equivalent to the byteSize
property of the
type instance. When in DEBUG mode this method checks if the parameter t
is an instance of Type.
(Type)
The type to inspect
number
:
Utility function, the same as Type.isType
(Type)
The type to inspect
boolean
:
Utility function, the same as Type.isPrimitive
(Type)
The type to inspect
boolean
:
Utility function, the same as Type.sizeOf
(Type)
The type to inspect
number
:
Utility function, the same as Type.getTypeByName
(string)
The name of the type to look for.
Type
:
Extends Type
Extends Type
Extends Type
Extends Type
Extends Type
Extends Type
Extends Type
Void type (not to be confused with the void
value.
Extends Type
ByteString type
Extends Type
Creates a new ByteString instance based on the provided arguments. Using the more specific fromPointer
,
fromBuffer
and fromString
functions is recommended.
(number?
= 0
)
An offset, if needed for the resulting instance. Defaults to 0.
(number
= 256
)
The maximum size, if needed, of the resulting instance. Defaults to 256.
ByteStringBase
:
Creates a ByteString instance from a pointer.
(Pointer)
The pointer to read the string data from.
(number?
= 0
)
The offset, from the location of the pointer, to read the data from. Defaults to 0.
(number?
= 256
)
The maximum size of this string in bytes. Defaults to 256.
ByteStringPtr
:
Creates a ByteString instance from an ArrayBuffer
(ArrayBufferLike)
The ArrayBuffer object where this string resides.
(number?
= 0
)
The offset, in bytes, within the buffer where the string resides. Defaults to 0.
(number?
= 256
)
The maximum size of this string in bytes. Defaults to 256.
ByteStringBuffer
:
Creates a byte string from a JS string.
(string)
The string to copy during creation.
ByteStringBuffer
:
Base class for all byte string classes. Cannot be used directly.
(number
= 256
)
The maximum size of this string.
Type: ArrayBufferLike
Checks if two byte strings are equal. Case sensitive.
(ByteStringBase)
The string to test against.
boolean
:
Checks if two byte strings are equal. Case insensitive.
(ByteStringBase)
The string to test against.
boolean
:
Checks if this byte strings contains another string. Case sensitive.
(ByteStringBase)
The string to test against.
boolean
:
Checks if this byte strings contains another string. Case insensitive.
(ByteStringBase)
The string to test against.
boolean
:
ByteString implementation using pointers. If the underlying pointer changes location the contents of this string are automatically updated to reflect the data contained at the new location.
Extends ByteStringBase
(Pointer)
The pointer to read the string data from.
(number?
= 0
)
The offset, from the location of the pointer, to read the data from. Defaults to 0.
(number?
= 256
)
The maximum size of this string in bytes. Defaults to 256.
ByteString implementation using ArrayBuffers. This implementation is useful for quick off-heap strings. It also guarantees that it will no change its contents without implicit user interaction.
Extends ByteStringBase
(ArrayBufferLike)
The ArrayBuffer object where this string resides.
(number?
= 0
)
The offset, in bytes, within the buffer where the string resides. Defaults to 0.
(number?
= 256
)
The maximum size of this string in bytes. Defaults to 256.
DS BIN files utilities.
Multi-threaded DSBIN file loader.
Loads a DSBIN from a local file.
(File)
The local file to load.
(Heap)
The heap where the file will be loaded.
Promise<MemoryBlock>
:
Loads a DSBIN from a URL.
(string)
The URL from which the DSBIN should be loaded.
(Heap)
The heap where the file will be loaded.
Promise<MemoryBlock>
:
Utility class to inflate zlib compressed ArrayBuffers into a custom ArrayBuffer, could be a SharedArrayBuffer.
Extends pako.Inflate
(Uint8Array)
Buffer where the uncompressed data will be written.
(number?
= outputBuffer.length
)
The expected final size of the uncompressed data. Defaults to the full size of
outputBuffer
Inflates the inputBuffer
data into the outputBuffer
optionally a final size
can be specified.
(Uint8Array)
The compressed data.
(Uint8Array)
Buffer where the uncompressed data will be written.
(number?
= outputBuffer.length
)
The expected final size of the uncompressed data. Defaults to the full size of
outputBuffer
number
:
Loads a DSBIN from a set of blobs.
(Uint32Array)
A SharedArrayBuffer-backed array with the current index of the chunk being loaded and the total number of chunks.
(Array)
The chunks to load.
(SharedArrayBuffer)
Memory where to store the uncompressed chunks.
Promise<void>
:
Loads a chunk of a DSBIN form the specified buffer.
(Uint8Array)
The compressed memory.
(SharedArrayBuffer)
Memory where to store the uncompressed buffer.
(number)
Offset, in bytes, where to write the uncompressed memory.
(number)
The expected uncompressed size of the buffer.
Accessing and the data from a DSBIN.
Class that represents a table in binary memory.
(MemoryBlock)
A MemoryBlock containing a binary representation of the layout and data of this table.
The header of this table. Contains column names, order in memory, original order and type information.
object
:
The memory block that contains this table's layout and data.
MemoryBlock
:
Class to read and write values of a row in a Table.
(Table)
The table this row belongs to.
(number?
= 0
)
the row index at which this instance will read data. Defaults to 0.
An array containing the names of the columns in the table this row belongs to.
Array
:
An object containing accessor objects ({{column:string, getter:function():*, setter:null}}) for the fields in this row.
object
:
An object containing properties to get and set the values for the fields in this row based on their column names. NOTE: Setting values is not implemented yet.
object
:
The internal pointer this row uses to access its memory. Changing the location of this pointer will result in the contents of the row being updated. WARNING: Setting the address of this pointer to a memory address taht does not represent the beginning of a row in a table will result in undefined behaviour.
Pointer
:
Filtering, aggregation, etc.
Class to create and run filters on tables.
(Table)
The table this filter will be bound to.
(number?
= 4
)
The number of workers to spawn, should be the same as physical cores in the system, defaults to 4.
(Heap?
= table.memory.heap
)
The heap to use to allocate the filter results memory, defaults to using the same heap where the table is allocated.
Utility function to create an object describing a result field for the column with the specified name.
If the columnName
parameter is omitted or is set to null
, an object that adds the index of the resulting row
will be returned.
((string | null)?
= null
)
The name of the column for which to create a result field object. Defaults to
null
.
Object
:
Runs this filter with the specified set of rules. Rules are an array of arrays containing objects describing the rules for this filter. Each object has the following structure: { name: string - The name of the column this rule applies to value: * - The value to compare the column's values with operation: string - Which operation to perform, must be one of the following: "equal", "notEqual", "lessThan", "moreThan" or "contains" }
Rule objects within the same array are treated as AND
ed and separate rule arrays are OR
ed.
Here's an example of a valid rules
array:
[
[
{
name: 'Origin_airport',
value: 'SEA',
operation: 'equal',
},
{
name: 'Destination_airport',
value: 'LAX',
operation: 'notEqual',
},
],
[
{
name: 'Origin_airport',
value: 'MCO',
operation: 'equal',
},
{
name: 'Passengers',
value: 180,
operation: 'moreThan',
},
],
]
In the example above, the filter requires that in the results:
{
The value of column Origin_airport
is equal to SEA
AND
The value of column Destination_airport
is not equal to LAX
}
OR
{
The value of column Origin_airport
is equal to MCO
AND
The value of column Passengers
is more than 180
}
Promise<{memory: MemoryBlock, count: number}>
:
Class to process filters on Tables. This class is meant to be used by filter workers, but it is safe to use on the main thread as well.
Uncategorized or undocumented objects.


loudgain
- loudness normalizer based on the EBU R128 standard
loudgain [OPTIONS] FILES...
loudgain is a loudness normalizer that scans music files and calculates loudness-normalized gain and loudness peak values according to the EBU R128 standard, and can optionally write ReplayGain-compatible metadata.
loudgain implements a subset of mp3gain's command-line options, which means that it can be used as a drop-in replacement in some situations.
loudgain will not modify the actual audio data, but instead just write ReplayGain tags if so requested. It is up to the player to interpret these. (In some players, you need to enable this feature.)
loudgain currently supports writing tags to the following file types:
FLAC (.flac), Ogg (.ogg, .oga, .spx, .opus), MP2 (.mp2), MP3 (.mp3), MP4 (.mp4, .m4a),
ASF/WMA (.asf, .wma), WavPack (.wv), APE (.ape).
Experimental, use with care: WAV (.wav), AIFF (.aiff, .aif, .snd).
-h, --help
Show this help.
-v, --version
Show version number.
-r, --track
Calculate track gain only (default).
-a, --album
Calculate album gain (and track gain).
-c, --clip
Ignore clipping warnings.
-k, --noclip
Lower track/album gain to avoid clipping (<= -1 dBTP).
-K n, --maxtpl=n
Avoid clipping; max. true peak level = n dBTP.
-d n, --pregain=n
Apply n dB/LU pre-gain value (-5 for -23 LUFS target).
-s d, --tagmode=d
Delete ReplayGain tags from files.
-s i, --tagmode=i
Write ReplayGain 2.0 tags to files. ID3v2 for MP2, MP3, WAV and AIFF; Vorbis Comments for FLAC, Ogg, Speex and Opus; iTunes-type metadata for MP4/M4A; WMA tags for ASF/WMA; APEv2 tags for WavPack and APE.
-s e, --tagmode=e
like '-s i', plus extra tags (reference, ranges).
-s l, --tagmode=l
like '-s e', but LU units instead of dB.
-s s, --tagmode=s
Don't write ReplayGain tags (default).
-L, --lowercase
Force lowercase 'REPLAYGAIN_*' tags (MP2/MP3/MP4/ASF/WMA/WAV/AIFF only). This is non-standard, but sometimes needed.
-S, --striptags
Strip tag types other than ID3v2 from MP2/MP3 files (i.e. ID3v1, APEv2). Strip tag types other than APEv2 from WavPack/APE files (i.e. ID3v1).
-I 3, --id3v2version=3
Write ID3v2.3 tags to MP2/MP3/WAV/AIFF files.
-I 4, --id3v2version=4
Write ID3v2.4 tags to MP2/MP3/WAV/AIFF files (default).
-o, --output
Database-friendly tab-delimited list output (mp3gain-compatible).
-O, --output-new
Database-friendly new format tab-delimited list output. Ideal for analysis of files if redirected to a CSV file.
-q, --quiet
Don't print scanning status messages.
To give you a head start, here are my personal recommendations for being (almost) universally compatible.
Use loudgain on a »one album per folder« basis; standard RG2 settings but lowercase ReplayGain tags; clipping prevention on; strip obsolete tag types from MP3 and WavPack files; use ID3v2.3 for MP3s; store extended tags:
$ loudgain -a -k -s e *.flac
$ loudgain -a -k -s e *.ogg
$ loudgain -I3 -S -L -a -k -s e *.mp3
$ loudgain -L -a -k -s e *.m4a
$ loudgain -a -k -s e *.opus
$ loudgain -L -a -k -s e *.wma
$ loudgain -I3 -L -a -k -s e *.wav
$ loudgain -I3 -L -a -k -s e *.aiff
$ loudgain -S -a -k -s e *.wv
$ loudgain -S -a -k -s e *.ape
I’ve been happy with these settings for many years now. Your mileage may vary.
For easy mass-tagging, there is a bash script called rgbpm
included with loudgain,
which follows above recommendations. You can make a copy, put that into your
personal ~/bin
folder and modify it to whatever you need.
loudgain is maintained on GitHub. Please report all bugs to the issue tracker at https://github.com/Moonbase59/loudgain/issues.
Matthias C. Hormann<EMAIL_ADDRESS>Alessandro Ghedini<EMAIL_ADDRESS>Copyright (C) 2019 Matthias C. Hormann<EMAIL_ADDRESS>(versions > 0.1)
Copyright (C) 2014 Alessandro Ghedini<EMAIL_ADDRESS>(v0.1)
This program is released under the 2 clause BSD license.


Example of "focusable" behavior. Three divs have "focusable" class and can get "focused" class from mouse clicks or from keyboard navigation to nested elements.
div1
div2
div3
Log:


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chap 9
p. 122 -> the archeology of knowledge, foucault (overall move to post-modernism)
gilbert ryle, the concept of mind
agre “a theory of cognition based on formal reason works best with objects of cognition whose attributes and relationships can be completely characterized in formal terms” -> maturana “the map/territory problem”
information is relativistic and relational
refs on embodied thought: william james, jakob von uexkull, john dewey, whitehead, ryle, schopenhauer
extended mind hypothesis of clark and chalmers (1998)
p. 185 -> implementation details is a phrase that stands for an entire body of disciplinary rationalizations to justify the disembodiment of AI (Herbert Simon, The Science of the Artificial, 1996)
the meaningful is not in our mind or brain, but is instead essentially worldly. The meaningful is not a model—that is, not representational—but is instead objects embedded in their context of references.
knowledge derives from active exploration (p.207)


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