TutorialPace com DataCamp Writing Efficient R Code - TP

1. 04_Turbo charged code parallel programming/14_You can write efficient R code.mp41.07MB
2. 04_Turbo charged code parallel programming/10_CPUs why do we have more than one.mp43.34MB
3. 03_Diagnosing problems code profiling/09_Monopoly overview.mp44.27MB
4. 02_Fine tuning efficient base R/05_Importance of vectorizing your code.mp45.9MB
5. 04_Turbo charged code parallel programming/11_What sort of programmings benefit from parallel computing.mp47.02MB
6. 02_Fine tuning efficient base R/06_Data frames and matrices.mp47.07MB
7. 01_The art of benchmarking/01_Welcome.mp47.4MB
8. 04_Turbo charged code parallel programming/12_The parallel package parApply.mp47.43MB
9. 03_Diagnosing problems code profiling/08_Profvis larger example.mp47.6MB
10. 01_The art of benchmarking/03_How goood is your machine.mp47.64MB
11. 02_Fine tuning efficient base R/04_Memory allocation.mp48.43MB
12. 03_Diagnosing problems code profiling/07_What is code profiling.mp411.35MB
13. 04_Turbo charged code parallel programming/13_The parallel package parSapply.mp411.76MB
14. 01_The art of benchmarking/02_Benchmarking.mp412.28MB