{"id":16509298,"url":"https://github.com/mohd-faizy/learn_pandas","last_synced_at":"2026-05-14T23:02:40.651Z","repository":{"id":152100046,"uuid":"287331233","full_name":"mohd-faizy/Learn_Pandas","owner":"mohd-faizy","description":"pandas is a powerful Python library for data analysis and manipulation. It’s like a Swiss Army knife for handling structured data! ","archived":false,"fork":false,"pushed_at":"2024-06-28T22:02:15.000Z","size":6172,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-01T11:03:35.199Z","etag":null,"topics":["pandas","pandas-dataframe","pandas-datareader","pandas-profiling","pandas-python","pandas-series","pandas-tutorial"],"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/mohd-faizy.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}},"created_at":"2020-08-13T16:40:25.000Z","updated_at":"2024-06-29T10:26:37.000Z","dependencies_parsed_at":"2023-07-09T13:01:27.957Z","dependency_job_id":null,"html_url":"https://github.com/mohd-faizy/Learn_Pandas","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/mohd-faizy%2FLearn_Pandas","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mohd-faizy%2FLearn_Pandas/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mohd-faizy%2FLearn_Pandas/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mohd-faizy%2FLearn_Pandas/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mohd-faizy","download_url":"https://codeload.github.com/mohd-faizy/Learn_Pandas/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":238590593,"owners_count":19497350,"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":["pandas","pandas-dataframe","pandas-datareader","pandas-profiling","pandas-python","pandas-series","pandas-tutorial"],"created_at":"2024-10-11T15:49:41.851Z","updated_at":"2025-10-10T04:01:53.845Z","avatar_url":"https://github.com/mohd-faizy.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![author](https://img.shields.io/badge/author-mohd--faizy-red)](https://github.com/mohd-faizy)\n![made-with-Markdown](https://img.shields.io/badge/Made%20with-markdown-blue)\n![Language](https://img.shields.io/github/languages/top/mohd-faizy/Learn_Pandas)\n![Maintained](https://img.shields.io/maintenance/yes/2024)\n![Last Commit](https://img.shields.io/github/last-commit/mohd-faizy/Learn_Pandas)\n[![contributions welcome](https://img.shields.io/static/v1.svg?label=Contributions\u0026message=Welcome\u0026color=0059b3\u0026style=flat-square)](https://github.com/mohd-faizy/Learn_Pandas)\n![Size](https://img.shields.io/github/repo-size/mohd-faizy/Learn_Pandas)\n\n\n# Pandas\n![Pandas-banner](https://raw.githubusercontent.com/mohd-faizy/Learn_Pandas/master/_img/Pandas-banner.jpg)\n\nWelcome to the Pandas repository! This repo is dedicated to providing helpful resources, tutorials, and examples for using the Pandas library in Python.\n\n## Table of Contents\n\n- [Pandas](#pandas)\n  - [Table of Contents](#table-of-contents)\n  - [Roadmap](#roadmap)\n  - [Introduction](#introduction)\n  - [Installation](#installation)\n  - [Usage](#usage)\n    - [Creating a DataFrame](#creating-a-dataframe)\n    - [Reading a CSV File](#reading-a-csv-file)\n    - [Data Analysis](#data-analysis)\n  - [Features](#features)\n\n\n\n \n\n\n\n## Roadmap\n![Pandas-roadmap](https://github.com/mohd-faizy/Learn_Pandas/blob/master/_img/Pandas.png)\n\n## Introduction\n\nPandas is a powerful and flexible open-source data analysis and manipulation library for Python. It provides data structures and functions needed to manipulate structured data seamlessly.\n\nThis repository aims to help users of all skill levels to better understand and utilize the Pandas library through comprehensive guides, code snippets, and example projects.\n\n## Installation\n\nTo install Pandas, you can use pip, the Python package installer. Ensure you have Python installed, then run:\n\n```bash\npip install pandas\n```\n\nFor more detailed installation instructions, please refer to the [official Pandas installation guide](https://pandas.pydata.org/pandas-docs/stable/getting_started/install.html).\n\n## Usage\n\nHere are some basic examples to get you started with Pandas:\n\n### Creating a DataFrame\n\n```python\nimport pandas as pd\n\ndata = {\n    'Name': ['Alice', 'Bob', 'Charlie'],\n    'Age': [25, 30, 35],\n    'City': ['New York', 'Los Angeles', 'Chicago']\n}\n\ndf = pd.DataFrame(data)\nprint(df)\n```\n\n### Reading a CSV File\n\n```python\nimport pandas as pd\n\ndf = pd.read_csv('path/to/your/file.csv')\nprint(df.head())\n```\n\n### Data Analysis\n\n```python\n# Descriptive statistics\nprint(df.describe())\n\n# Group by and aggregate\ngrouped = df.groupby('City').mean()\nprint(grouped)\n```\n\nFor more examples and detailed tutorials, please refer to the [official Pandas documentation](https://pandas.pydata.org/pandas-docs/stable/).\n\n## Features\n\n- Data structures for efficient data manipulation (Series, DataFrame)\n- Tools for reading and writing data between in-memory data structures and different formats (CSV, Excel, SQL, etc.)\n- Data alignment and integrated handling of missing data\n- Reshaping and pivoting of data sets\n- Label-based slicing, fancy indexing, and subsetting of large data sets\n- Data set merging and joining\n- Time series functionality\n\n## ⚖ ➤ License\n\nThis project is licensed under the MIT License. See [LICENSE](LICENSE) for details.\n\n## ❤️ Support\n\nIf you find this repository helpful, show your support by starring it! For questions or feedback, reach out on [Twitter(`X`)](https://twitter.com/F4izy).\n\n#### $\\color{skyblue}{\\textbf{Connect with me:}}$\n\n➤ If you have questions or feedback, feel free to reach out!!!\n\n[\u003cimg align=\"left\" src=\"https://cdn4.iconfinder.com/data/icons/social-media-icons-the-circle-set/48/twitter_circle-512.png\" width=\"32px\"/\u003e][twitter]\n[\u003cimg align=\"left\" src=\"https://cdn-icons-png.flaticon.com/512/145/145807.png\" width=\"32px\"/\u003e][linkedin]\n[\u003cimg align=\"left\" src=\"https://cdn-icons-png.flaticon.com/512/2626/2626299.png\" width=\"32px\"/\u003e][Portfolio]\n\n[twitter]: https://twitter.com/F4izy\n[linkedin]: https://www.linkedin.com/in/mohd-faizy/\n[Portfolio]: https://ai.stackexchange.com/users/36737/faizy?tab=profile\n\n---\n\n\u003cimg src=\"https://github-readme-stats.vercel.app/api?username=mohd-faizy\u0026show_icons=true\" width=380px height=200px /\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmohd-faizy%2Flearn_pandas","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmohd-faizy%2Flearn_pandas","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmohd-faizy%2Flearn_pandas/lists"}