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Hi Reader,
On Friday, Twitter open-sourced their recommendation algorithm! π
βYou can check out the source code on GitHub.
The most interesting code Iβve seen is the tweet ranking code.
The most embarrassing code I've seen is the author_is_elon feature. π€¦ββοΈ
Speaking of GitHub, let's move on to today's tip!
Did you know that GitHub has some hidden new features you can try out?
Go to github.com, click on your profile picture in the upper right corner, and then click "Feature preview":
There are currently 6 new features. You can turn each feature on or off with the Enable/Disable button:
βCode Search gives you a more powerful search:
βCode View gives you an easy-to-navigate file tree view:
βCommand Palette makes it faster to navigate around GitHub:
βRich Jupyter Notebook Diffs makes it easier to know what has changed in a notebook:
Try it out and let me know your favorite new GitHub features!
If you enjoyed this weekβs tip, please forward it to a friend! Takes only a few seconds, and it really helps me out π
See you next Tuesday!
- Kevin
P.S. How to use Gitβ
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Kevin Markham
Join 25,000+ aspiring Data Scientists and receive Python & Data Science tips every Tuesday!
Hi Reader, happy Tuesday! My recent tips have been rather lengthy, so I'm going to mix it up with some shorter tips (like today's). Let me know what you think! π¬ π Link of the week A stealth attack came close to compromising the world's computers (The Economist) If you haven't heard about the recent "xz Utils backdoor", it's an absolutely fascinating/terrifying story! In short, a hacker (or team of hackers) spent years gaining the trust of an open-source project by making helpful...
Hi Reader, Today's tip is drawn directly from my upcoming course, Master Machine Learning with scikit-learn. You can read the tip below or watch it as a video! If you're interested in receiving more free lessons from the course (which won't be included in Tuesday Tips), you can join the waitlist by clicking here: Yes, I want more free lessons! π Tip #43: Should you discretize continuous features for Machine Learning? Let's say that you're working on a supervised Machine Learning problem, and...
Hi Reader, I'm so excited to share this week's tip with you! It has been in my head for months, but I finally put it in writing βοΈ It's longer than usual, so if you prefer, you can read it as a blog post instead: Jupyter & IPython terminology explained π Link of the week Python Problem-Solving Bootcamp (April 1-21) Want to improve your Python skills quickly? There's no better way than solving problems, reviewing alternative solutions, and exchanging ideas with others. That's the idea behind...