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      • Course Catalog
        • Crash Course on Python
          • From Adding Numbers to Analyzing Real Data in Python
            • Intro to Python and Numpy
            • Array Programming in Numpy
            • Analyzing Tabular Data With Pandas
            • Data Visualization with Matplotlib and Seaborn
            • Statistics with Pingouin
        • Essential Computing Tools for Scientists
          • Environment Management
            • Environment Management with Pixi
            • Environment Management with Conda
          • Interactive Data Analysis with Jupyter Data Science Notebooks
            • Interactive Coding with Jupyter Notebooks
          • Version Control with Git and GitHub
            • Version Control with Git
            • Remote Repositories with GitHub
            • Exploring and Collaborating by Editing Your Git History
      • Crash Course on Python
        • From Adding Numbers to Analyzing Real Data in Python
          • Intro to Python and Numpy
          • Array Programming in Numpy
          • Analyzing Tabular Data With Pandas
          • Data Visualization with Matplotlib and Seaborn
          • Statistics with Pingouin
      • Essential Computing Tools for Scientists
        • Environment Management
          • Environment Management with Pixi
          • Environment Management with Conda
        • Interactive Data Analysis with Jupyter Data Science Notebooks
          • Interactive Coding with Jupyter Notebooks
        • Version Control with Git and GitHub
          • Version Control with Git
          • Remote Repositories with GitHub
          • Exploring and Collaborating by Editing Your Git History
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      • System

      Course Catalog

      Local Image Crash Course on Python
      Compact one-day course covering data analysis with Numpy and Pandas, visualization with Matplotlib, and statistical tests using real neuroscience data.
      Local Image Essential Computing Tools for Scientists
      Tools for reproducible computational research: VSCode and Jupyter for interactive coding, Conda and Pixi for environment management, and Git and GitHub for version control and collaboration.