🕒 13:50–15:35
🏷️ Labels: Pandas, Data Manipulation, Legal Documentation, Traffic Infraction, Python
📂 Project: Business
⭐ Priority: MEDIUM

Session Goal

The session aimed to achieve two main objectives: enhance data manipulation skills using pandas for time series and task attributes, and prepare legal documentation for a traffic infraction transfer.

Key Activities

  1. Data Manipulation with Pandas

    • Merged time series with task attributes using pandas, focusing on extracting task names and creating a comprehensive DataFrame.
    • Created a DatetimeIndex for half-hour intervals to improve scheduling and time management.
  2. Legal Documentation Preparation

    • Developed a checklist and gathered necessary documentation for transferring a traffic infraction to a partner with a Brazilian driving license.
    • Reviewed requirements for obtaining a driving license in Argentina for foreign residents.

Achievements

  • Successfully merged and manipulated data using pandas, enhancing the ability to handle complex data structures.
  • Compiled a comprehensive checklist and gathered all necessary documents for a legal meeting regarding the traffic infraction transfer.

Pending Tasks

  • Finalize the legal documentation process by attending the meeting and ensuring all documents meet the requirements.