RvsPython #1: Webscraping
Webscraping is a powerful tool available for efficent data collection. There are ways to do it in both R and Python.I’ve built the same scraper in R and Python which gathers information about all the...
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RvsPython #2: Pivoting Data From Long to Wide Form
Note: This is an older post originally written as a LinkedIn article I wrote in late May. I have added information about shaping data thanks to Casper Crause using the data.table library. You can see...
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RvsPython #3: Setting up Selenium (Limitations with the RSelenium package;...
Selenium is a powerful library available for both Python and R (the R version is called RSelenium) which can automate tasks such as form filling, job applications, CRM system administration and many...
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RvsPython #4: A Basic Search on Amazon.ca using R and Python
This post was inspired by one of Thomas Neitmann’s posts showing how to write some debugging code in R and Python to automatically search code errors on StackOverflow. Below is a simpler example where...
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RvsPython #5: Using Monte Carlo To Simulate π
Please note: This blog has got alot of criticism as to the lack of best practices being used in the Python code. I have written a follow up to this issue here. Let me know what you think! Introduction...
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RvsPython #5.1: Making the Game even with Python’s Best Practices
Well, it turns out that my last blog that R was over 220 times faster than Python got a lot of (constructive) criticism saying that I wasn’t using “best practices” with Python, which was why my Python...
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RvsPython #6: LinkedIn has spoken!
Introduction Over the past while with my time on LinkedIn, I got to have exposure to many people from many different lines of work. I also managed to have carved a space for myself there where I can...
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