Navigating Career Adjustments in Times of Uncertainty
summary
Pandemic-driven layoffs push people into new roles and the concrete ways to move matter: use open source tools like OpenFOAM and Python, build API wrappers to run 400–1,000 load cases automatically, and train ML models on sensor data to predict failures; deploy notebooks in the cloud via Anaconda Nucleus and cut analysis cycles from about 6–10 months down to 2–3 months. Contribute to repos, join book clubs, and learn by doing to make career pivots realistic and repeatable.
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chapters (11)
- 0:00Introduction
- 1:53Civil engineering to aerospace
- 6:27Oil and gas to Python
- 9:57Career shift to Anaconda
- 10:17Why grow tech skills
- 13:06Tech skills in career transitions
- 15:51Grow tech skills effectively
- 17:35Start learning tech skills
- 19:43Anaconda Nucleus platform
- 22:33Demo of Nucleus resources
- 24:38Closing thoughts
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