Today, I got to know this library `DoseFinding` and it actually is so powerful that I think I probably will use this library for modeling in the future.

library(DoseFinding)
library(gridExtra)
data(biom)
fitemax <- fitMod(dose, resp, data=biom, model=”emax”)
p1 <- plot(fitemax)
fitlinearlog <- fitMod(dose, resp, data=biom, model=”linlog”)
p2 <- plot(fitlinearlog)
fitlinear <- fitMod(dose, resp, data=biom, model=”linear”)
p3 <- plot(fitlinear)
fitquadratic <- fitMod(dose, resp, data=biom, model=”quadratic”)
p4 <- plot(fitquadratic)
fitexponential <- fitMod(dose, resp, data=biom, model=”exponential”)
p5 <- plot(fitexponential)
fitlogistic <- fitMod(dose, resp, data=biom, model=”logistic”)
p6 <- plot(fitlogistic)
grid.arrange(p1, p2, p3, p4, p5, p6)

Let’s take a closer look at the fitMod function, there are so many commonly used models built in this model.

There are so many arguments that you can pass to the function fitMod, and there is a parameter `bnds`, which will define the bounds for non-linear parameters.

This is a fantastic video from Smitha Milli, which will help you get started with web scraping using Node.js.

Also, there are a few interesting projects that might need to check out in the future.

1. Nokogiri in Ruby

2. Request and Cheerio in Node.js

3. pjscrape Javascript (using PhantomJS and jQuery)

I also modified her code a little bit and pushed my own code to my github account. It will save the raw html along with other interesting attributes to a plain file in json format. And people can extract the part they want in the future.

AngularFileUpload is a Angular JS module that will upload file with some cool features like drag and drop, uploading progress..etc.

TODO

Google Visualization (abbr. Google Vis)

TODO

I wrote a Dockerfile which will follow the Scrapy installation instruction for Ubuntu. I had a hard time using pip to make it work, some errors like missing openssl/xxx.h.. Anyway, now you have a recipe to build the Image which contains BeautifulSoup4, Scrapy and iPython.

Checkout my github repository for more information.

You can modify the Dockerfile to only include the functionalities you need.

# start the container daemon in background
sudo docker run -v <hostdir>:<containerdir> -d <image>
# attach to the running container
sudo docker attach –sig-proxy=true <container>
# detach and leaving the container running without exiting.
CTRL-P + CTRL-Q

As you can see from the picture above, you can not only tab to see the available methods or attributes inside iPython. You can also have a unblievable insight into the bolt and nut of your Scrapy robot. Here are a few resources that you have to know to master Scrapy.

1. parse
2. shell

“Scrapyd is an application for deploying and running Scrapy spiders. It enables you to deploy (upload) your projects and control their spiders using a JSON API.”

You first need to package your project into egg by using ‘scrapy deploy’ inside the project folder.

Then you can upload the egg to the scrapy server by using ‘curl http://localhost:6800/schedule.json -d project=datafireball -d spider=datafireball’

Docs, Github:

I want to remove all the existing docker images from my virtualbox, and I also ran into the errors like this for a few images.

However, I ran command `sudo docker ps`, I cannot see any running containers and it confused me a lot until I came across this Docker issue3258 on github. In the end, I realized that there is a difference between running and non-running containers which `docker ps` will only list the running ones. You need to remove both types of containers before remove all the images.

Here is the solution in the end:

sudo docker ps -a | grep Exit | awk '{print $1}' | sudo xargs docker rm
sudo docker rmi $(sudo docker images -q)

More information about what the commands do:

`sudo docker ps -a` will list all the information about docker containers including the running one, exited ones..etc.  

Then it pipe the data to extract the image id of the ones that contain Exit then run `docker rm` command, which is used to remove non-running containers.

After that, you can easily remove all the images because no containers will be running. Here is also a helpful post from stackoverflow.

I found a project on github contributed by Lewis Zhang and Mohammed Omer(momer), momer has not only written a Nutch plugin to make http request using Selenium,Firefox, but also finished another plugin on top of Selenium Grid which will not only improve the performance if running in parallel, but also leverage the grid to handle the hanging process if any. He also offered two docker images to help get started. Since I have not really used docker and think this would be great chance to learn how to use. So this post is about my experience building his project using docker.

You can clone the github repositories locally and run docker build. However, there is an easier way which you can just run docker build command directly against the github project. In that case, it will treat the files from the URL as a whole and actually pull the content first locally, then send it to the docker daemon using as the `context` to build the container.

Two things that worth mentioning, first, you can pass a tar ball to the build command from stdin and docker will decompress and use it as the context. second, there are many staging or intermediate containers along the way to build the final container that you expected. Those will be deleted as default but you can keep them if you set the –rm=false.  When I build the hub container, I realized the repository name is missing and the same thing happens again when I redo it. I ended up using the 12 digits image id to start the container, and at least it works.

Now the challenging part is how to start the node, momer mentioned that you gonna use a tool called MaestroNG to make it work.

TO BE CONTINUED

Whenever you want to run Selenium against a site, please understand it will trigger all the javascript and act like a fully functional browser, it will trigger all kinds of services that might impact target website.

For example, while I was playing around with Selenium this morning to hit against my own website. It actually totally mess up the monitoring tool comes with wordpress and now, my poor traffic has been heavily skewed by the traffic that caused by Selenium. In another way, if you did this to some business, there google analytics might be totally screwed and it is not beneficial to any one.