1. Interview with Nick Chamandy, statistician at Google
  2. You and Your Researchvideo
  3. Trustworthy Online Controlled Experiments: Five Puzzling Outcomes Explained
  4. A Survival Guide to Starting and Finishing a PhD
  5. Six Rules For Wearing Suits For Beginners
  6. Why I Created C++
  7. More advice to scientists on blogging
  8. Software engineering practices for graduate students
  9. Statistics Matter
  10. What statistics should do about big data: problem forward not solution backward
  11. How signals, geometry, and topology are influencing data science
  12. The Bounded Gaps Between Primes Theorem has been proved
  13. A non-comprehensive list of awesome things other people did this year.
  14. Jake VanderPlas writes about the Big Data Brain Drain from academia.
  15. Tomorrow’s Professor Postings
  16. Best Practices for Scientific Computing
  17. Some tips for new research-oriented grad students
  18. 3 Reasons Every Grad Student Should Learn WordPress
  19. How to Lie With Statistics (in the Age of Big Data)
  20. The Geometric View on Sparse Recovery
  21. The Mathematical Shape of Things to Come
  22. A Guide to Python Frameworks for Hadoop
  23. Statistics, geometry and computer science.
  24. How to Collaborate On GitHub
  25. Step by step to build my first R Hadoop System
  26. Open Sourcing a Python Project the Right Way
  27. Data Science MD July Recap: Python and R Meetup
  28. git 最近感悟
  29. 10 Reasons Python Rocks for Research (And a Few Reasons it Doesn’t)
  30. Effective Presentations – Part 2 – Preparing Conference Presentations
  31. Doing Statistical Research
  32. How to Do Statistical Research
  33. Learning new skills
  34. How to Stand Out When Applying for An Academic Job
  35. Maturing from student to researcher
  36. False discovery rate regression (cc NSA’s PRISM)
  37. Job Hunting Advice, Pt. 3: Networking
  38. Getting Started with Git