📅 2023-07-23 — Session: Enhanced Geospatial and Algorithmic Codebase
🕒 02:30–19:00
🏷️ Labels: Geospatial, Python, Algorithm, Modularization, Randomization
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance the geospatial analysis capabilities and improve algorithmic procedures in Python.
Key Activities
- Developed a geospatial analysis notebook for villages in the Democratic Republic of Congo, focusing on elevation and terrain ruggedness using Python and GeoJSON.
- Planned and outlined a strategy for modularizing Python code, emphasizing best practices such as utility modules, OOP, and version control.
- Updated the geodesic buffer function in Pyproj to avoid FutureWarnings by replacing deprecated functions.
- Modified the RANDOMLY_PERMUTE procedure to ensure it applies to a nonempty subarray, including an updated proof of Lemma 5.4.
- Implemented the PERMUTE_WITHOUT_IDENTITY algorithm to generate permutations excluding the identity permutation.
- Analyzed the PERMUTE-WITH-ALL algorithm, identifying issues with uniform random permutations due to fixed points.
Achievements
- Successfully created a comprehensive geospatial analysis notebook.
- Established a clear plan for Python code modularization.
- Updated geodesic buffer functions to prevent future deprecation issues.
- Enhanced the RANDOMLY_PERMUTE procedure with a robust proof.
- Developed and tested the PERMUTE_WITHOUT_IDENTITY algorithm.
Pending Tasks
- Further testing and validation of the updated geodesic buffer function.
- Implementation of the outlined modularization strategy across existing codebases.