{"id":18953061,"url":"https://github.com/packtworkshops/the-python-workshop","last_synced_at":"2025-04-04T14:08:47.981Z","repository":{"id":40001983,"uuid":"213585871","full_name":"PacktWorkshops/The-Python-Workshop","owner":"PacktWorkshops","description":"A New, Interactive Approach to Learning Python","archived":false,"fork":false,"pushed_at":"2023-11-08T00:16:34.000Z","size":5288,"stargazers_count":264,"open_issues_count":12,"forks_count":355,"subscribers_count":31,"default_branch":"master","last_synced_at":"2025-03-28T13:11:11.172Z","etag":null,"topics":["algorithms","data-science","gridsearchcv","linear-regression","logistic-regression","machine-learning","python","pytorch","random-forests","randomizedsearchcv","structure","types"],"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/PacktWorkshops.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}},"created_at":"2019-10-08T08:15:22.000Z","updated_at":"2025-03-26T01:14:28.000Z","dependencies_parsed_at":"2024-04-13T01:02:27.509Z","dependency_job_id":"ffa20645-9b27-4a9c-9926-e6585e655608","html_url":"https://github.com/PacktWorkshops/The-Python-Workshop","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/PacktWorkshops%2FThe-Python-Workshop","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PacktWorkshops%2FThe-Python-Workshop/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PacktWorkshops%2FThe-Python-Workshop/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PacktWorkshops%2FThe-Python-Workshop/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/PacktWorkshops","download_url":"https://codeload.github.com/PacktWorkshops/The-Python-Workshop/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247190252,"owners_count":20898702,"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":["algorithms","data-science","gridsearchcv","linear-regression","logistic-regression","machine-learning","python","pytorch","random-forests","randomizedsearchcv","structure","types"],"created_at":"2024-11-08T13:35:53.179Z","updated_at":"2025-04-04T14:08:47.961Z","avatar_url":"https://github.com/PacktWorkshops.png","language":"Jupyter Notebook","readme":"# The Python Workshop\n[![GitHub issues](https://img.shields.io/github/issues/PacktWorkshops/The-Python-Workshop.svg)](https://github.com/PacktWorkshops/The-Python-Workshop/issues)\n[![GitHub forks](https://img.shields.io/github/forks/PacktWorkshops/The-Python-Workshop.svg)](https://github.com/PacktWorkshops/The-Python-Workshop/network)\n[![GitHub stars](https://img.shields.io/github/stars/PacktWorkshops/The-Python-Workshop.svg)](https://github.com/PacktWorkshops/The-Python-Workshop/stargazers)\n[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://github.com/PacktWorkshops/The-Python-Workshop/pulls)\n[![versions](https://img.shields.io/pypi/pyversions/pybadges.svg)](https://www.python.org/downloads/)\n\nThis is the repository for [The Python Workshop](https://www.amazon.com/Python-Workshop-Interactive-Approach-Learning/dp/1839218851/ref=sr_1_1?dchild=1\u0026keywords=The%20Python%20Workshop\u0026qid=1611065248\u0026s=books\u0026sr=1-1\u0026utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781839218859\u0026utm_term=Python\u0026utm_content=The%20Python%20Workshop), published by [Packt](https://www.packtpub.com/?utm_source=github). It contains all the supporting project files necessary to work through the course from start to finish.\n\n## Requirements and Setup\n\u003ca href=\"https://www.amazon.com/Python-Workshop-Interactive-Approach-Learning/dp/1839218851/ref=sr_1_1?dchild=1\u0026keywords=The%20Python%20Workshop\u0026qid=1611065248\u0026s=books\u0026sr=1-1\u0026utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781839218859\u0026utm_term=Python\u0026utm_content=The%20Python%20Workshop\"\u003e\u003cimg src=\"https://github.com/PacktWorkshops/Workshop-Covers/blob/master/The%20Python%20Workshop.png\" alt=\"The Python Workshop\" height=\"340px\" width=\"280px\" align=\"right\" this.target=\"_blank\"\u003e\u003c/a\u003e\n\nTo get started with the project files, you'll need to:\n1. Install Jupyter on [Windows](https://www.python.org/downloads/windows/), [Mac](https://www.python.org/downloads/mac-osx/), [Linux](https://www.python.org/downloads/source/)\n2. Install Anaconda on [Windows](https://www.anaconda.com/distribution/#windows), [Mac](https://www.anaconda.com/distribution/#macos), [Linux](https://www.anaconda.com/distribution/#linux)\n3. Install [Docker](https://docs.docker.com/docker-for-windows/install/)\n\n## About The Python Workshop\nMore than just a Python guide for beginners, [The Python Workshop](https://www.amazon.com/Python-Workshop-Interactive-Approach-Learning/dp/1839218851/ref=sr_1_1?dchild=1\u0026keywords=The%20Python%20Workshop\u0026qid=1611065248\u0026s=books\u0026sr=1-1\u0026utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781839218859\u0026utm_term=Python\u0026utm_content=The%20Python%20Workshop) takes you through the full spectrum of basic to advanced topics, equipping you with the skills you need to get started with data science and more. Filled with practical step-by-step examples and interactive exercises, you'll learn by doing as you grow your new Python skillset.\n\n## What You Will Learn\n* Write clean and well-commented code that is easy to maintain\n* Automate essential day-to-day tasks with Python scripts\n* Debug logical errors and handle exceptions in your programs\n* Explore data science fundamentals and create engaging visualizations\n* Get started with predictive machine learning\n* Keep your development process bug-free with automated testing\n\n## Related Workshops\nIf you've found this repository useful, you might want to check out some of our other workshop titles:\n* [The Statistics and Calculus with Python Workshop](https://www.amazon.com/Statistics-Calculus-Python-Workshop-comprehensive/dp/1800209762/ref=tmm_pap_swatch_0?_encoding=UTF8\u0026qid=1611065425\u0026sr=1-1-fkmr1\u0026utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781801078719\u0026utm_term=Statistics%20and%20Calculus%20with%20Python\u0026utm_content=The%20Statistics%20and%20Calculus%20with%20Python%20Workshop)\n* [The Applied Data Science Workshop](https://www.amazon.com/Applied-Data-Science-Workshop-applications/dp/1800202504/ref=tmm_pap_swatch_0?_encoding=UTF8\u0026qid=1611064853\u0026sr=1-1\u0026utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781800202504\u0026utm_term=Applied%20Data%20Science\u0026utm_content=The%20Applied%20Data%20Science%20Workshop)\n* [The Data Wrangling Workshop](https://www.amazon.com/Data-Wrangling-Workshop-actionable-insights/dp/1839215003/ref=tmm_pap_swatch_0?_encoding=UTF8\u0026qid=1611065162\u0026sr=1-1\u0026utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781801078955\u0026utm_term=Data%20Wrangling\u0026utm_content=The%20Data%20Wrangling%20Workshop)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpacktworkshops%2Fthe-python-workshop","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpacktworkshops%2Fthe-python-workshop","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpacktworkshops%2Fthe-python-workshop/lists"}