{"id":26910997,"url":"https://github.com/banyan-team/banyan-julia-examples","last_synced_at":"2026-05-02T03:32:49.015Z","repository":{"id":40692626,"uuid":"412983513","full_name":"banyan-team/banyan-julia-examples","owner":"banyan-team","description":"Adventures in massively parallel cloud computing with Banyan Julia!","archived":false,"fork":false,"pushed_at":"2022-06-27T07:43:16.000Z","size":120,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-04-01T14:43:19.081Z","etag":null,"topics":["banyan","data","data-analytics","data-processing","data-science","julia"],"latest_commit_sha":null,"homepage":"https://banyancomputing.com/demo","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/banyan-team.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2021-10-03T05:19:04.000Z","updated_at":"2022-08-12T13:21:48.000Z","dependencies_parsed_at":"2022-09-07T10:52:53.372Z","dependency_job_id":null,"html_url":"https://github.com/banyan-team/banyan-julia-examples","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/banyan-team/banyan-julia-examples","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/banyan-team%2Fbanyan-julia-examples","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/banyan-team%2Fbanyan-julia-examples/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/banyan-team%2Fbanyan-julia-examples/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/banyan-team%2Fbanyan-julia-examples/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/banyan-team","download_url":"https://codeload.github.com/banyan-team/banyan-julia-examples/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/banyan-team%2Fbanyan-julia-examples/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32522245,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-02T01:12:54.858Z","status":"online","status_checked_at":"2026-05-02T02:00:05.923Z","response_time":132,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["banyan","data","data-analytics","data-processing","data-science","julia"],"created_at":"2025-04-01T14:36:08.530Z","updated_at":"2026-05-02T03:32:48.988Z","avatar_url":"https://github.com/banyan-team.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Banyan Julia Examples\n\nThis repo contains examples and tutorials for various Banyan Julia libraries,\nsuch as BanyanDataFrames and BanyanArrays. If you're new to Banyan, this is a\ngreat place to start!\n\n## Running the Example Notebooks\n\nTo run the notebooks, follow the following steps:\n\n1. Set up a Banyan account by following the steps [here](https://www.banyancomputing.com/getting-started/).\n2. [Install Git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git) and clone (download) this notebook by running the following in a terminal (command prompt):\n\n```\ngit clone git@github.com:banyan-team/banyan-julia-examples.git\n```\n\n3. Download the Julia installer for your operating system [here](https://julialang.org/downloads/), and follow the instructions to finish the installation. Open Julia in the REPL and enter package mode by typing `]`. Run `add IJulia` to install the Julia package required for running a Jupyter Notebook with Julia.\n\n```\njulia\u003e ]\n(@v1.6) pkg\u003e add IJulia\n```\n\n4. Install Jupyter Notebook by running `pip install notebook` or following directions [here](https://jupyter.org/install).\n5. Cd into the directory of the notebook you would like to run. Then, run `BANYAN_API_KEY=\u003cYOUR_BANYAN_API_KEY\u003e   BANYAN_USER_ID=\u003cYOUR_BANYAN_USER_ID\u003e julia --project=.` to open Julia.\n5. To run the notebook, run `using IJulia; notebook()` in the Julia interpretor. These steps will ensure that you open the notebook in the correct environment.\n\n## Summary of Notebooks\n\n- [`iris.ipynb`](/iris/iris.ipynb) - This notebook is a good starting place if you are new to Banyan. It provides a simple example of how to spin up a cluster and a session and how to run some data analytics on a CSV file on the cluster.\n- [`nyc_taxi.ipynb`](/nyc_taxi/nyc_taxi.ipynb) - Large-scale data analysis of Parquet dataset stored in the cloud (S3)\n- [`parameter_tuning.ipynb`](/parameter_tuning/parameter_tuning.ipynb) - Massively parallel parameter tuning in the cloud\n- [`shallow_water_modeling.ipynb`](/shallow_water_modeling/shallow_water_modeling.ipynb) - MPI-powered fluid dynamics simulation\n- [`satellite_image_encoding`](/satellite_image_encoding/satellite_image_encoding.ipynb) - PyTorch-based encoding of thousands of NASA satellite images\n\n## Troubleshooting\n\n**Interactive usage in VSCode**\n\nIf you are running the Jupyter notebooks from VSCode, you may encounter the following\nerror on the calls to `readline()` to read user input: `UndefVarError: execute_msg not defined`.\nThis is a known bug in the Julia VSCode extension: see [here](https://github.com/julia-vscode/julia-vscode/issues/785).\nTo resolve this, either replace the call to `readline()` with the actual value\nyou wish to input, or run the Jupyter notebooks in another editor to support the interactive usage.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbanyan-team%2Fbanyan-julia-examples","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbanyan-team%2Fbanyan-julia-examples","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbanyan-team%2Fbanyan-julia-examples/lists"}