Python

The problem I faced I am a R user who love using R Shiny to do any interactive visual related projects. My colleague who is more familiar with Python love to use Dash to do his dashboard tasks. One day, our manager asked us if we two could work together to create an internal dashboard. We looked at each other and started thinking which path is easier, have me learn Dash from the beginning or have him learn R Shiny from the beginning?

Update : 2018-05-06 I have found that the website structure of Indeed, Monster, Dice, Careerbuilder have been changed since I wrote these posts. So, some of my code may not work now. But, I think the concept and the process is still the same. The Github repository for this project : choux130/webscraping_example. From the previous posts, How Web Scraping eases my job searching pain? - Part I : Scrape contents from one URL and How Web Scraping eases my job searching pain?

Update : 2018-05-06 I have found that the website structure of Indeed, Monster, Dice, Careerbuilder have been changed since I wrote these posts. So, some of my code may not work now. But, I think the concept and the process is still the same. The Github repository for this project : choux130/webscraping_example. From the previous post, How Web Scraping eases my job searching pain? - Part I : Scrape contents from one URL, we know how to summarize all the job searching results from Careerbuilder into a .

Update : 2018-05-06 I have found that the website structure of Indeed, Monster, Dice, Careerbuilder have been changed since I wrote these posts. So, some of my code may not work now. But, I think the concept and the process is still the same. The Github repository for this project : choux130/webscraping_example. The process of finding jobs online can definitely be a torture. Every day is started by sitting in front of computer, browsing different kind of job searching websites and trying to track every job I have read and then categorizing them into interested or not interested.