- Summary: analysis of complexity and overview of adjacency lists, adjacency matrix, and edge list. Cool graph through Konnect (when site works).
- Filetype: .ipynb
- Summary: iterative and recursive implementations of Binary Search using "partitioning" in Python. Master Theorem and recurrence relation are discussed in terms of complexity.
- Filetype: .ipynb
- Summary: HeapSort algorithm in Python and discussion of complexity.
- Filetype: .ipynb
- Summary: programmed several useful algorithms using regular expression operations in Python to parse input text.
- Filetype: .ipynb
- Summary: ER diagrams for hypothetical IMDB and hospital databases via Draw.IO. Includes cardinality and relationships.
- Filetype: draw.io
- Summary: investigated threading and transaction conflicts in Python.
- Filetype: .ipynb
Mod1_Binary_Linear_Search_Code Sample_7SEP2020.ipynb (Binary Search Algorithm and Linear Search Algorithm)
- Summary: investigated difference between linear and binary searches, particularly in terms of complexity. Implemented both in Python.
- Filetype: .ipynb
- Summary: first attempt at interacting with Hash Tables in Python?
- Filetype: .ipynb
- Summary: another attempt at interacting with Hash Tables in Python?
- Filetype: .ipynb
- Summary: full meaning of this assignment was lost on the textbook. Basically, coded an algorithm in Python that randomly partitioned within a list to return a target value.
- Filetype: .ipynb
- Summary: ER diagram that captured the relationships between buyers and sellers.
- Filetype: draw.io
- Summary: group project that required coding a recursive binary search algorithm that determined the closest pair of points within a randomly generated list of points. Edge case involved points grouped around the middle threshold of the graph "mid point."
- Filetype: .ipynb
- Summary: see subject line. Assignment required navigating the logic of relations and sets, presumably in preparation for SQL querying.
- Filetype: .pdf
- Summary: ran a series of functiosn in Python and assessed complexity in Big O notation.
- Filetype: .ipynb
- Summary: conceptual question on midterm. This was the solution I drew for explaining the Straight Line Heuristic method.
- Filetype: .jpg