Look for data/ (raw data) and data_output/ (processed results) to form the basis of your Results section.
Ensure any software used in the "summersmithy" project is cited and listed in a requirements file. summersmithy.zip
Follow specific naming conventions, such as [Conference Record #]_[PART NUMBER].zip , and include a packing list .txt file. Look for data/ (raw data) and data_output/ (processed
Interpret the results and suggest future work. 3. Submission Preparation such as [Conference Record #]_[PART NUMBER].zip
A concise summary of the project’s goal, methods, and key results.
Describe the tools (e.g., Python, LaTeX) and specific scripts found in the archive.
Present findings derived from the data within the zip file. Use visualization tools like matplotlib if the data is numerical.