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- Level:
- Duration: 01h 58m
- Release date: 2021-09-22
- Author: Michele Vallisneri
- Provider: LinkedIn
Python for Engineers and Scientists
Description
Content
- Introduction01m 15s
- Become a better engineer or scientist with Python00m 46s
- What you should know00m 29s
- 1. Installation11m 45s
- macOS installation02m 19s
- Windows and Linux installation05m 26s
- Working with Jupyter notebooks03m
- Using the exercise files01m
- 2. Make It Fast36m 38s
- Making Python code fast02m 38s
- Introduction to NumPy arrays05m 37s
- Matrix operations with NumPy06m 56s
- Linear algebra and sparse matrices with NumPy and SciPy06m 07s
- Code generation with Numba and Cython05m 28s
- Wrapping legacy code with Cython, CFFI, and F2PY07m 17s
- Challenge: Diffusion equation01m 15s
- Solution: Diffusion equation01m 20s
- 3. Make It Right34m 37s
- Making Python code right02m 36s
- Symbolic computation with SymPy06m 12s
- Units, constants, timescales, and more with Astropy05m 55s
- Differential equations with SciPy04m 55s
- Interpolation and optimization with SciPy04m 44s
- Debugging with ipdb06m 53s
- Challenge: Planetary conjunctions01m 02s
- Solution: Planetary conjunctions02m 20s
- 4. Make It Easy32m 51s
- Making Python code easy02m 06s
- Web resources with requests and JSON04m 56s
- Tables with pandas05m 55s
- Scientific datasets with HDF505m 08s
- Automation with Python scripts05m 31s
- Scientific workflows with Snakemake05m 03s
- Challenge: Perfect numbers02m 15s
- Solution: Perfect numbers01m 57s
- Conclusion01m 26s
- Next steps01m 26s
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