Useful for referring—2-25-2014

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