Resolved Python environment setup issues

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📅 2023-01-12 — Session: Resolved Python environment setup issues

🕒 16:15–16:35
🏷️ Labels: Python, Scikit-Learn, Anaconda, Visual Studio Code, Environment Management
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The main goal of this session was to troubleshoot and resolve issues related to Python environment setup, specifically focusing on scikit-learn installation and environment management using Anaconda and Visual Studio Code.

Key Activities

  • Scikit-learn Installation Check: Verified the installation of the scikit-learn library in the Python environment using import statements and pip commands.
  • ImportError Troubleshooting: Addressed common causes of ImportError for scikit-learn, including environment checks and package reinstallation in a new virtual environment.
  • Python Environment Verification: Used Jupyter Notebook to check the current Python environment with the sys module and conda commands.
  • Conda Command Error Resolution: Provided solutions for the ‘conda: command not found’ error by checking installation and modifying the PATH variable.
  • Environment Management with Anaconda: Managed Python environments by identifying and switching between them using Anaconda commands.
  • VS Code Python Environment Configuration: Configured the default Python environment in Visual Studio Code by editing the settings.json file.

Achievements

  • Successfully resolved Python environment setup issues, ensuring scikit-learn is correctly installed and configured.
  • Established a reliable method for managing and switching Python environments using Anaconda.
  • Configured Visual Studio Code to use the correct Python environment, enhancing development efficiency.

Pending Tasks

  • Further testing of the configured environments to ensure stability and functionality across different projects.

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