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  1. Course: Python for Scientific Computing
  2. Cufflinks
  3. Cyana
  4. DDT
  5. DDT (PDC September 2014)
  6. DIANA
  7. Dacapo
  8. Dalton
  9. Dalton CPP-LR parallelization
  10. Data Management Seminar Online
  11. Data management seminar (UPPMAX, March 2016)
  12. Datahandling using R tidyverse (Lund, November 2019)
  13. Debugging of HPC applications, September 2019
  14. Deep Dive Code Analysis and Optimization (Linkoeping, February 2017)
  15. Deep Dive Code Analysis and Optimization (Lund, February 2017)
  16. Deep Dive Code Analysis and Optimization (Stockholm, February 2017)
  17. Desmond
  18. Develop multi-category LIM3 sea-ice capabilities in EC-Earth 3
  19. Distributed memory programming
  20. Django
  21. EC-Earth
  22. EC-Earth/COSP code analysis
  23. EC-Earth and CESM model timings
  24. EC-Earth compilation and performance analysis: Beskow
  25. EMBOSS
  26. EMMAX
  27. EMTO
  28. EMTOx
  29. ENCCS/PDC VeloxChem Workshop: Quantum Chemistry Towards Pre-exascale and Beyond (March 2022)
  30. ENCCS/PDC VeloxChem Workshop: Quantum Chemistry from Laptop to HPC (May 2021)
  31. ESPResSo
  32. Edge
  33. Editing Cluster architecture and job submission, February 2022
  34. Efield
  35. Electronic Structure Workshop (Linköping, March 2017)
  36. Elk
  37. Enabling Xnavis for Massively Parallel Simulations of Wind Farms
  38. Environment modules
  39. Erik
  40. Essense Code Optimisation
  41. Exciting-code
  42. FAQ
  43. FASTA
  44. FASTX
  45. FEFF
  46. FFTW
  47. FastQC
  48. Ferlin
  49. Fido
  50. Fields

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