Creating Computational Notebooks

By brsanders, 6 November, 2024
Module Description/Summary

Creating computational notebooks is an essential skill in data science and research, as they allow for interactive coding, data visualization, and documentation in one place. This tutorial will guide you through setting up, using, and sharing computational notebooks, focusing on Python-based platforms like Jupyter Notebook and Google Colab, but the principles can be extended to R and other languages.

Learning Objectives
  1. Introduction to Computational Notebooks
  2. Setting Up Your Environment
  3. Basic Notebook Operations
  4. Data Visualization in Notebooks
  5. Genomics Data Visualization in Notebooks
  6. Notebook Best Practices
  7. Advanced Notebook Features
  8. Collaborating and Sharing Notebooks
Materials and Resources

Project Jupyter

Introduction to Jupyter Notebooks

Google Colab Introduction

Module Section
Section I: Introduction -What Are Computational Notebooks?
Section II: Setting Up Your Environment
Section III: Basic Notebook Operations
Section IV: Data Visualization in Notebooks
Section VI: Notebook Best Practices
Section V: Best Practices for Genomics Data Visualization
Section VI: Notebook Best Practices
Section VII: Advanced Notebook Features

Funded by

This work is supported by the National Human Genome Research Institute of the National Institutes of Health under Award Number 1U24HG013013-01.