{"id":17486447,"url":"https://github.com/davibarreira/julia_tutorials","last_synced_at":"2025-04-22T16:50:11.845Z","repository":{"id":46630599,"uuid":"300654433","full_name":"davibarreira/Julia_Tutorials","owner":"davibarreira","description":"Collection of tutorials on Julia","archived":false,"fork":false,"pushed_at":"2025-04-04T15:49:31.000Z","size":32158,"stargazers_count":8,"open_issues_count":1,"forks_count":3,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-17T07:17:04.284Z","etag":null,"topics":["julia","julia-language","julialang","machine-learning","tutorials"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/davibarreira.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2020-10-02T15:15:17.000Z","updated_at":"2025-04-04T15:49:38.000Z","dependencies_parsed_at":"2025-04-16T22:00:47.711Z","dependency_job_id":null,"html_url":"https://github.com/davibarreira/Julia_Tutorials","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/davibarreira%2FJulia_Tutorials","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/davibarreira%2FJulia_Tutorials/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/davibarreira%2FJulia_Tutorials/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/davibarreira%2FJulia_Tutorials/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/davibarreira","download_url":"https://codeload.github.com/davibarreira/Julia_Tutorials/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250282395,"owners_count":21404962,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["julia","julia-language","julialang","machine-learning","tutorials"],"created_at":"2024-10-19T02:10:31.444Z","updated_at":"2025-04-22T16:50:11.822Z","avatar_url":"https://github.com/davibarreira.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Julia Tutorials\n\n### A repository for interesting Tutorials in Julia.\n\nSince Julia is still a \"new\" language, there is not as much material\nout there, with easy to follow tutorials on how to do many things. Hence,\nthis is a personal repository to collect Tutorials in Julia,\n\nThis repository is related to the publication [Coffee in a Klein Bottle](https://medium.com/coffee-in-a-klein-bottle).\n\nBelow, the List of Contents of tutorial related to Coffee in a Klein Bottle:\n\n* [Speeding Up Julia Precompilation](https://github.com/davibarreira/Julia_Tutorials/tree/main/Speeding_up_Julia_Precompilation) - How to use PackageCompiler.jl\nto create precompiled versions of Julia with your favorite packages, and speed up the process of starting a new kernel;\n* [Deep Learning with Julia](https://github.com/davibarreira/Julia_Tutorials) - A brief tutorial on training a Neural Network with Flux.jl.The notebook [here](https://github.com/davibarreira/Julia_Tutorials/blob/main/MachineLearning/Flux_Tutorial1.ipynb) corresponds to the code shown in the article;\n* [Analyzing Graphs with Julia](https://medium.com/coffee-in-a-klein-bottle/analyzing-graphs-with-julia-38e26d1d2f62) - A brief tutorial on how to use Julia to analyze graphs using the JuliaGraphs packages. The notebook [here](https://github.com/davibarreira/Julia_Tutorials/blob/main/Graphs/Graphs_Tutorial.ipynb) corresponds to the code shown in the article.\n\n## Useful External Links\n* [Autoencoders tutorial with Flux](https://wildart.github.io/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdavibarreira%2Fjulia_tutorials","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdavibarreira%2Fjulia_tutorials","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdavibarreira%2Fjulia_tutorials/lists"}