April 2017
Beginner to intermediate
358 pages
9h 30m
English
Content preview from Learning Data Mining with Python - Second Edition
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Extracting the blog posts
We are first going to create a MapReduce program that will extract each of the posts from each blog file and store them as separate entries. As we are interested in the gender of the author of the posts, we will extract that too and store it with the post.
We can't do this in a Jupyter Notebook, so instead open a Python IDE for development. If you don't have a Python IDE you can use a text editor. I recommend PyCharm, although it has a larger learning curve and it is probably a bit heavy for just this chapter's code.
At the very least, I recommend using an IDE that has syntax highlighting and basic completion of variable names (that last one helps find typos in your code easily.
If you still can't find an IDE you ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.