![]() But you can do similar things on Windows using PuTTY.Įither way, you don’t have to worry about it because I show this to you only to demonstrate how painful it is - so you can better appreciate the second solution that will work on all operating systems anyway. In this article, I’ll show you a solution that works on Mac and Linux only. In that article, I show you how you can install Python and SQL step-by-step to learn and practice data science in a real-life-like environment.īut if you have these already, then just follow me. Now, if you don’t know what a remote data server is or you don’t know what Jupyter is, check out my remote server setup tutorial first. in the second one, I’ll use Jupyter, which is a web application that I mainly use to prototype my Python code - but it’ll be very handy for this file-upload-issue, too.in the first one, I’ll use the command line (which I call the painful solution). ![]() ![]() ![]() I’ll show you two solutions for this problem: You have your local computer, where you have a dataset - take this example.csv or example2.csv file - and you want to upload this to your remote data server.
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