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  1. Prikvačeni tweet

    Finally found the time to update my resources list. Several (new) free learning books included as well as introductions to xarigan.

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  2. 1. velj

    JHU made a realtime showing the latest and regarding the outbreak of the . Updated every 15 minutes, the dashboard gives a good sense of the current state of the . Via

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  3. 20. sij
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  4. 13. sij

    *A steady second place, heading for first* My overview of and is the second suggestion when searching for "r tips" on Google! Overview:

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  5. 7. sij

    Past week, I visited and spotted these necklaces at the entrace. If you wear one during , Ikea rewards you with a free ice cream. Valuable Ikea buys for 10 cents... Smart move by Ikea? Appropriate reward?

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  6. 2. sij

    **You look like a thing and I love you!** That is the title of Janelle Shane's new book on . It is by far the most accessible and entertaining book I've read on . I highly recommend this book, both for technical and lay readers:

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  7. 1. sij
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  8. **I finally did it!** I built a generic scraper to download my visitor statistics. Should work for any domain, so feel free to use:

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  9. However, I want to store that instance under the object name `card` as well. `card = card.Card()` does not work ("local variable 'card' referenced before assignment") and I see how this escalates quickly... What would you recommend? 2/2

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  10. Can someone help me with naming conventions?? I made a module with a class `Card`. I named the module . Now I can import this module and make an instance using `import card` followed by `card.Card()`. 1/2

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  11. I am trying to transition into , mainly through pet projects. I'd love to get feedback, directions, or best practices to improve my code! Any experts who can to help me out? I can give praise, statistical or help in return! : )

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  12. I personally never use log scales, but I do tend to go for a chocolate color palette often.

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  15. 📢Pre-Christmas🌲update to my resources repo📚 Multiple new books, interesting packages🎁and addins (e.g., ggdensityplot, devoutsvg|pdf, citr) and links to other overviews, like 's!

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  17. In the daily practice of data science, reservering time to consider what sampling biases exist in your data and the models you train on it can literally mean the difference between success or (unconcious) failure. Here's a great example in NY Times:

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  18. Hi community, do you know why it is considered _bad_ practice to specify the final return value of a function? This is quite opposite to 's pep8, and I don't understand why it would be bad? / style guide on return:

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  19. proslijedio/la je Tweet
    17. stu 2019.

    Literally all I do as a statistician: No. No. That's not the definition of a p-value. No. Trending towards significance is not a thing. No. No pie charts! That only works if data is normal. No. That's logistic regression not AI. No. Your "novel" method was invented in 1918. No.

    Tweet je nedostupan.
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  21. community, please help me teach students by filling out this 1-minute survey:

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