📅 2023-10-14 — Session: Automated Data Processing and Script Integration
🕒 00:40–03:00
🏷️ Labels: Python, Data Processing, Automation, Scripting, Descriptive Statistics
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to automate data processing tasks by integrating Python scripts for file management, data processing, and descriptive statistics analysis.
Key Activities
- File Check and Script Execution: Developed a workflow to check for required files in the main repository and execute a sampling script from a secondary repository if files are missing.
- Command Integration: Integrated a command to execute the
samplear.pyscript, including file existence checks and logging for processing census data. - Quarterly Date Generation: Updated a function for generating quarterly dates and refactored the main code to use this function.
- Looping Through Years: Demonstrated how to call an external script in a loop for each year within a specified range using the subprocess module.
- Directory Restoration: Modified a Python script to ensure the working directory is restored after executing an external script.
- Code Structure Overview: Provided an overview of structured code within Jupyter Notebook files for configuration and main data processing tasks.
- Descriptive Statistics Framework: Outlined a structured framework for a Jupyter notebook focused on descriptive statistics.
Achievements
- Successfully integrated automation scripts for data processing and management.
- Established a structured framework for descriptive statistics analysis in Jupyter notebooks.
Pending Tasks
- Further refinement of the data processing scripts to enhance efficiency and scalability.
- Additional testing of the integrated scripts to ensure robustness and error handling.