Project Description

This package provides:

• Useful capabilities to solve and plot numerical methods problems with heavy reliance on NumPy and Pandas.
• Evaluation and derivation of lambda expressions.

Docstrings formatted according to NumPy's convention wherein the latest API documentation is generated by Sphinx.

Capability to interact with the Python module logging has been included.

References

1. R. Burden L., D. Faires J., and A. Burden M., Numerical Analysis, 10th ed. 20 Channel Center Street, Boston, MA 02210, USA: Cengage, 2019.
2. The Bright Side of Mathematics, QR decomposition (for square matrices), (Mar. 22, 2020). Accessed: Jul. 14, 2022. [Online Video]. Available: https://www.youtube.com/watch?v=FAnNBw7d0vg
3. E. W. Weisstein, “Least Squares Fitting--Power Law.” https://mathworld.wolfram.com/ (accessed Jul. 15, 2022).