For example, if you wanted to make a folder called test, you could navigate to the Desktop directory and then type mkdir test. To create a folder using the command line, you can use the mkdir command followed by the name of the folder. To star, let’s create a folder called Transforming_Data_with_Python on the Desktop.
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In this tutorial, we’ll walk through one way to approach these questions, but there are certainly others that may be just as valid, so feel free to experiment and try to come up with your own approach! Reading in Data with the Command Line and a Python Script Remember: There are multiple ways to approach a task when it comes to programming.
sublesson_time - when the story was submitted.We’ve sampled 10000 rows from the data randomly, and removed all extraneous columns. The data set we’ll be using was compiled by Arnaud Drizard using the Hacker News API, and can be found here. This begs the question: what makes a Hacker News article successful? Are there patterns we can find in terms of what’s most likely to get upvoted? Popular articles get to the “front page” of Hacker News, where they’re more likely to be seen by others. The more upvotes a sublesson gets, the more popular it was in the community. Hacker News is a site where users can submit articles from across the internet (usually about technology and startups), and others can “upvote” the articles, signifying that they like them. That said, don’t worry too much about prerequisites! We’ll explain everything we’re doing as we go along, so let’s dive in! Getting Familiar with the Data
Recently, we’ve released two new, interactive command line courses: Command Line Elements and Text Processing in the Command Line, so if you want to dig deeper into the command line, we recommend those as well If you haven’t worked with Python before, feel free to check out our lesson covering the fundamentals of Python functions, or dig deeper into some of our data science courses. This tutorial assumes basic knowledge of functions, and a little command line experience wouldn’t hurt either. Let’s say you want to make a website to help people make Hacker News posts with ideal headlines and sublesson times. Notebooks are great for quick data visualization and exploration, but Python scripts are the way to put anything we learn into production.
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In this tutorial, we’re going to dig into how to transform data using Python scripts and the command line.īut first, it’s worth asking the question you may be thinking: “How does Python fit into the command line and why would I ever want to interact with Python using the command line when I know I can do all my data science work using IPython notebooks or Jupyter lab?” OctoTutorial: Transforming Data with Python Scripts and the Command Line
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