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KDnuggets Home » News » 2019 » Dec » Top Stories, Tweets » Top November Stories: How to Speed up Pandas by 4x with one line of code ( 19:n47 )

Top November Stories: How to Speed up Pandas by 4x with one line of code


Also: 10 Free Must-read Books on AI; Data Science for Managers: Programming Languages; The Complete Data Science LinkedIn Profile Guide.



Here are the most popular posts in KDnuggets in November.

Platinum BlogMost Viewed - Platinum Badge (>24,000 UPV)

  1. How to Speed up Pandas by 4x with one line of code, by George Seif (*)


Gold BlogMost Viewed - Gold Badge (>12,000 UPV)

  1. 10 Free Must-read Books on AI, by Matthew Dearing


Silver BlogMost Viewed - Silver Badgs (> 6,000 UPV)

  1. Data Science for Managers: Programming Languages, by Active Wizards
  2. Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead, by Adrian Colyer (*)
  3. The Complete Data Science LinkedIn Profile Guide, by Dan Lewins
  4. Facebook Has Been Quietly Open Sourcing Some Amazing Deep Learning Capabilities for PyTorch, by Jesus Rodriguez







Silver BlogMost Shared - Gold Badge (>600 shares)

  1. 10 Free Must-read Books on AI, by Matthew Dearing


Silver BlogMost Shared - Silver Badge (>300 shares)

  1. How to Speed up Pandas by 4x with one line of code, by George Seif
  2. Open Source Projects by Google, Uber and Facebook for Data Science and AI, by Asel Mendis
  3. Python, Selenium & Google for Geocoding Automation: Free and Paid, by Asel Mendis
  4. Facebook Has Been Quietly Open Sourcing Some Amazing Deep Learning Capabilities for PyTorch, by Jesus Rodriguez


(*) indicates that badge added or upgraded based on these monthly results.

Most Shareable (Viral) Blogs

Among the top blogs, here are the blogs with the highest ratio of shares/unique views, which suggests that people who read it really liked it.
  1. Python, Selenium & Google for Geocoding Automation: Free and Paid, by Asel Mendis
  2. Automated Machine Learning Project Implementation Complexities, by Matthew Mayo
  3. Open Source Projects by Google, Uber and Facebook for Data Science and AI, by Asel Mendis
  4. The Notebook Anti-Pattern, by Kristina Young

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