Book Content
chapters • 10h total length
1. The Landscape of Scientific Computing and Why Python
2. A Deeper Dive of Scientific Workflows
3. Efficiently Fabricating and Managing the Scientific Data
4. Science Computing APIs for Python
5. Performing Numerical Computing
6. Applying Python for Symbolic Computing
7. Visual Flavor of Scientific Computing
8. Scientific Computing Involving Parallel Computing and Large Scale Computation
9. Revisiting Real-life Case Studies
10. Best Practices for Scientific Computing
