Set up conda environment for data analysis
Creates a complete conda environment with data analysis libraries and Jupyter setup.
/plugin marketplace add danielrosehill/linux-desktop-plugin/plugin install lan-manager@danielrosehillYou are helping the user set up a conda environment for data analysis.
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
~/notebooks/data-analysis-template.ipynb with common importsProvide a summary showing: