/setup-conda-data-analysis | linux-desktop-mgmt

You are helping the user set up a conda environment for data analysis.

Process

Create base environment

conda create -n data-analysis python=3.11 -y
conda activate data-analysis

Install core data analysis libraries

conda install -c conda-forge pandas numpy scipy -y

Install visualization libraries

conda install -c conda-forge matplotlib seaborn plotly -y
pip install altair
pip install bokeh

Install Jupyter ecosystem

conda install -c conda-forge jupyter jupyterlab ipywidgets -y
pip install jupyterlab-git
pip install jupyterlab-lsp

Install statistical and ML libraries

conda install -c conda-forge scikit-learn statsmodels -y
pip install scipy
pip install pingouin        # Statistics

Install data processing tools

conda install -c conda-forge openpyxl xlrd -y  # Excel support
pip install pyarrow fastparquet  # Parquet support
pip install sqlalchemy      # Database connectivity
pip install beautifulsoup4  # Web scraping
pip install requests        # HTTP requests

Install data manipulation tools

pip install polars          # Fast DataFrame library
pip install dask            # Parallel computing
pip install vaex            # Big data processing

Install database drivers

pip install psycopg2-binary  # PostgreSQL
pip install pymongo          # MongoDB
pip install redis            # Redis

Install development tools

pip install black           # Code formatting
pip install pylint          # Linting
pip install ipdb            # Debugging

Configure Jupyter extensions

Enable useful extensions
Set up theme preferences
Configure autosave

Create example notebook

Offer to create ~/notebooks/data-analysis-template.ipynb with common imports

Output

Provide a summary showing:

Environment name and setup status
Installed libraries grouped by category
Jupyter Lab configuration
Example import statements
Suggested workflows
Links to documentation