How many people are actually using your stuff?

Shiny dashboard for productivity. New DataFramed episode featuring Katy Huff. Pandas on Ray for faster Pandas. Data science for political analysis & more!  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  [DataCamp](  ISSUE #38 — MARCH 13, 2018  [DataCamp Weekly]( DataCamp Weekly Hi there - the top 10 articles of the past week are below! This top 10 is selected based on the number of upvotes posts get that week. So make sure to check back in regularly and upvote your favorite posts. This week we have a shiny dashboard to see when you're the most productive during the day, a new DataFramed episode featuring Katy Huff, Pandas on Ray for faster Pandas, data science for political analysis & more! [Share an Article](  Community Top Posts  [10]( [How Many People Are Actually Using Your Stuff?](  business  | 7 Upvotes   | 0 Comments   | Posted by vickiboykis  At its very basic level, data science is about counting things. One problem that comes up over and over again is figuring out how to count users. This post explains with some examples from Facebook and Spotify.  [9]( [From Local Machine to Dask Cluster with Terraform](  scikit-learn  | 8 Upvotes   | 0 Comments   | Posted by drorata  A comprehensive tutorial on how to start a dask cluster.  [8]( [Rethinking P-values](  statistical modeling  | 8 Upvotes   | 0 Comments   | Posted by karlijn  For generations, scientists have relied on one number to determine the value of their research. Now, some are considering alternatives.  [7]( [Kaggle's CareerCon](  career  | 8 Upvotes   | 0 Comments   | Posted by burcukaniskan  If you're interested in learning more about landing your first data science job, you may be interested in Kaggle's CareerCon, which is online and free!  [6]( [Python XML with ElementTree: Beginner's Guide](  python  | 8 Upvotes   | 0 Comments   | Posted by stephaniehowson  Learn how you can parse, explore, modify and populate XML files with the Python ElementTree package, for loops and XPath expressions.  [5]( [How to Rewrite your SQL Queries in Pandas, and more](  pandas  | 10 Upvotes   | 1 Comment   | Posted by kkarpan  These days, data comes in many shapes and forms, and it’s not synonymous with “relational database” anymore. You may end up with CSV files, plain text, Parquet, HDF5, and who knows what else. This is where Pandas library shines.  [4]( [Introduction, and Averaging Polls of the 2016 U.S. Presidential Election](  data journalism  | 11 Upvotes   | 0 Comments   | Posted by gemorris  Good data science skills are useful in the world of political analysis. They can help us understand trends (or lack there-of) that narrative reporting often miss. This series explores political analysis in R, starting with how to conduct simple averages of election polling.  [3]( [Pandas on Ray (for faster Pandas)](  pandas  | 11 Upvotes   | 0 Comments   | Posted by sven  Pandas on Ray is a new library for distributing Pandas workflows. It can be implemented by changing only a single import statement, makes it very fast and is a step towards enabling Pandas for use in the cloud.  [2]( [Data Science, Nuclear Engineering and the Open Source (with Katy Huff)](  dataframed  | 16 Upvotes   | 0 Comments   | Posted by hugobowne  New DataFramed podcast episode. This time, Hugo & Katy Huff discuss data science, nuclear engineering, the importance of interdisciplinary data science and the open source.  [1]( [Visualizing when I'm Most Productive During the Day](  shiny  | 21 Upvotes   | 2 Comments   | Posted by daattali  Analyzing git activity for multiple people throughout the years.   [DataCamp Community]( BY THE COMMUNITY, FOR THE COMMUNITY [Discover](   Paths of 800 unmanned bicycles being pushed until they fall over   That's all for now. Have a great week!   [DataCamp] [DataCamp](  DataCamp Inc. | 350 Fifth Avenue | Suite 7730 | New York, NY 10118  [Facebook] [Facebook]( [Twitter] [Twitter]( [LinkedIn] [LinkedIn]( [YouTube] [YouTube](  [Unsubscribe]( Â