July 2019
Beginner to intermediate
740 pages
16h 52m
English
Content preview from Hands-On Data Analysis with Pandas
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Exercises
Complete the following exercises to practice the concepts covered in this chapter:
- Run the simulation for December 2018 into new log files without making the user base again. Be sure to run python simulate.py -h to review the command-line arguments. Set the seed to 27. This data will be used for the remaining exercises.
- Find the number of unique usernames, attempts, successes, failures, and the success/failure rates per IP address, using the data simulated in exercise #1.
- Create two subplots with failures versus attempts on the left, and failure rate versus distinct usernames on the right. Draw decision boundaries for the resulting plots. Be sure to color each data point by whether or not it is a hacker IP address.
- Build a rule-based ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.