Computational Science | Python

Working with:

• Python Jupyter Notebook (.ipynb)
• NumPy
• Matplotlib

Topics:

• Root Finding (A1)
• SVD based Data Compression (A1)
• Psuedoinverse (A2)
• Principal components to find geographic structure (A2)
• Sampling from some common distributions (A2)
• Maximum likelihood estimate (A3)
• Inversion methods to generate distributions (A3)
• Markov Chain (A3)
• Jukes-Cantor model of DNA sequence evolution (A3)
• Alignment Algorithms (A4)
• Hidden Markov Models (A4)
• Forward & Backward Algorithms (A5)
• UPGMA Tree Constructions (A5)