{"id":28208369,"url":"https://github.com/Willie-Conway/Data-Science-Tools-and-Ecosystem","last_synced_at":"2025-06-12T08:31:02.188Z","repository":{"id":274168002,"uuid":"922118417","full_name":"Willie-Conway/Data-Science-Tools-and-Ecosystem","owner":"Willie-Conway","description":"🧠 Explore essential Data Science 🧪 tools, 🧰 libraries, and 🐍 Python arithmetic basics — perfect for beginners!","archived":false,"fork":false,"pushed_at":"2025-05-25T02:42:50.000Z","size":4,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-25T03:29:38.531Z","etag":null,"topics":["data-science","jupyter","keras","notebooks","numpy","pandas","python","pytorch"],"latest_commit_sha":null,"homepage":"","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/Willie-Conway.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-01-25T11:15:59.000Z","updated_at":"2025-05-25T02:45:58.000Z","dependencies_parsed_at":"2025-05-25T03:29:44.050Z","dependency_job_id":null,"html_url":"https://github.com/Willie-Conway/Data-Science-Tools-and-Ecosystem","commit_stats":null,"previous_names":["willie-conway/ibm-data-science-","willie-conway/ibm-data-science-tools","willie-conway/data-science-tools-and-ecosystem"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Willie-Conway/Data-Science-Tools-and-Ecosystem","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Willie-Conway%2FData-Science-Tools-and-Ecosystem","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Willie-Conway%2FData-Science-Tools-and-Ecosystem/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Willie-Conway%2FData-Science-Tools-and-Ecosystem/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Willie-Conway%2FData-Science-Tools-and-Ecosystem/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Willie-Conway","download_url":"https://codeload.github.com/Willie-Conway/Data-Science-Tools-and-Ecosystem/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Willie-Conway%2FData-Science-Tools-and-Ecosystem/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259429663,"owners_count":22856100,"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":["data-science","jupyter","keras","notebooks","numpy","pandas","python","pytorch"],"created_at":"2025-05-17T14:12:17.581Z","updated_at":"2025-06-12T08:31:02.176Z","avatar_url":"https://github.com/Willie-Conway.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📊 Data Science Tools \u0026 Arithmetic with Python 🐍\n\n## Overview 👋🏿\n\nWelcome to this notebook! In this document, we will explore the essential **tools, libraries, and programming languages** used in the field of **Data Science**. You'll also see some basic arithmetic operations demonstrated using **Python**.\n\nThis notebook aims to provide:\n\n* 🔍 An overview of popular programming languages used in Data Science\n* 📚 Key libraries for data analysis and machine learning\n* 🛠️ Useful tools that help data scientists in their workflow\n* ➕➖✖️➗ Simple arithmetic operations in Python\n\nLet's dive into the exciting world of Data Science tools and technologies! 🚀\n\n---\n\n## Data Science Tools and Ecosystem 🌐\n\nIn this notebook, you'll find a summary of the Data Science tools and ecosystem, including:\n\n### Objectives 🎯\n\n* List popular libraries used in Data Science\n* List open-source development environments and tools commonly used\n* Introduce simple arithmetic expression evaluation in Python\n\n---\n\n### Popular Languages for Data Science 🗣️\n\n* 🐍 **Python**\n* 🗃️ **SQL**\n* 📊 **R**\n* 🔣 **Julia**\n\n---\n\n### Commonly Used Libraries 📦\n\n* 🔢 **NumPy** — for numerical computing\n* 🧠 **Keras** — for deep learning\n* 🐼 **Pandas** — for data manipulation and analysis\n* 🔥 **PyTorch** — for machine learning and AI\n\n---\n\n### Data Science Tools 🧰\n\n* 📓 **Jupyter Notebooks** — interactive notebooks for coding and visualization\n* 📊 **RStudio** — integrated development environment for R\n* ☁️ **Apache Zeppelin** — web-based notebook for data ingestion, discovery, and visualization\n\n---\n\n## Arithmetic Expressions in Python 🧮\n\nHere are some examples of evaluating arithmetic expressions:\n\n```python\n# Addition ➕\nprint(3 + 3)  # Output: 6\n\n# Subtraction ➖\nprint(3 - 3)  # Output: 0\n\n# Multiplication ✖️\nprint(3 * 3)  # Output: 9\n\n# Division ➗\nprint(3 / 3)  # Output: 1.0\n\n# Multiply then add\nprint((3 * 4) + 5)  # Output: 17\n\n# Convert 200 minutes to hours\nprint(200 / 60)  # Output: 3.3333333333333335\n```\n\n---\n\n## Summary of Objectives 📌\n\n* List popular programming languages for Data Science\n* Identify commonly used libraries in the field\n* Introduce data science tools and ecosystems\n* Demonstrate arithmetic expression evaluation in Python\n* Provide examples such as converting minutes to hours\n\n---\n\n## Author ✍🏿\n\n**Willie Conway**\n\n---\n\nFeel free to reach out if you have questions or want to contribute! Happy Data Science journey! 🎉📈\n\n---\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FWillie-Conway%2FData-Science-Tools-and-Ecosystem","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FWillie-Conway%2FData-Science-Tools-and-Ecosystem","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FWillie-Conway%2FData-Science-Tools-and-Ecosystem/lists"}