How to Make Your Python Jupyter Notebook Standalone

Discover how to make your Python Jupyter notebooks standalone and reproducible in this 26-minute talk from PyCon US. Explore the importance of dependency management in Python projects, focusing on the challenges posed by direct and transitive dependencies. Learn about an open-source JupyterLab extension developed by the Thoth team for efficient Python dependency management. Compare different resolution engines like Pipenv and Thoth, and understand their distinctions. Gain practical knowledge through various scenarios that simulate typical Jupyter notebook experiences, demonstrating how to effectively use the new extension. By the end of the talk, grasp the significance of reproducibility in Python projects, master the use of the Thoth Jupyterlab extension, and understand the advantages of cloud resolution engines. Experience a hands-on tutorial that requires only a GitHub account and a browser, as it runs in a fully open cloud environment.

Talk. - Francesco Murdaca/Maya Costantini: How to Make Your Python Jupyter Notebook Standalone an...