📅 2023-02-28 — Session: Reviewed and optimized Python data scripts
🕒 17:00–21:00
🏷️ Labels: Python, Ubuntu, Data Manipulation, Installation, Environment Setup
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to review and optimize Python scripts for data aggregation and manipulation, improve system configurations on Ubuntu, and set up development environments.
Key Activities
- Conducted a detailed code review of a Python script for data aggregation, providing insights for enhancing code readability and reliability.
- Optimized data manipulation techniques in Pandas, focusing on grouping and pivoting operations to handle missing values efficiently.
- Installed and configured Dropbox and Visual Studio Code on Ubuntu, addressing dependency issues and repository configurations.
- Set up Anaconda and Conda environments for Python development, including setting default environments in Visual Studio Code.
- Explored string manipulation techniques in Python, including string concatenation and extraction using slicing and regular expressions.
Achievements
- Improved Python scripts for data aggregation and manipulation, enhancing performance and code quality.
- Successfully installed and configured essential software on Ubuntu, resolving dependency and configuration issues.
- Established a robust Python development environment using Anaconda and Visual Studio Code.
Pending Tasks
- Further exploration of advanced data manipulation techniques in Pandas.
- Continuous monitoring and updating of system configurations and development environments as needed.