{"id":20698262,"url":"https://github.com/mrankitgupta/kaggle-pandas-solved-exercises","last_synced_at":"2025-04-22T21:46:22.362Z","repository":{"id":110813954,"uuid":"477868958","full_name":"mrankitgupta/Kaggle-Pandas-Solved-Exercises","owner":"mrankitgupta","description":"I'm sharing my Kaggle Pandas Course - Exercise complete solution notebook which I have solved while undertaking this course.","archived":false,"fork":false,"pushed_at":"2022-11-16T07:03:21.000Z","size":98,"stargazers_count":24,"open_issues_count":0,"forks_count":9,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-29T19:11:18.263Z","etag":null,"topics":["66daysofdata","ankitgupta","ankittalks","data-analysis","data-science","data-structures","data-visualization","datascience","kaggle","kaggle-notebook","kaggle-notebooks","mrankitgupta","pandas","pandas-dataframe","pandas-library","pandas-python","pandas-tutorial","python","python-library","python3"],"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/mrankitgupta.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}},"created_at":"2022-04-04T20:51:09.000Z","updated_at":"2025-03-14T16:31:45.000Z","dependencies_parsed_at":null,"dependency_job_id":"e4c26aa3-3874-4889-b999-24cbb68b5388","html_url":"https://github.com/mrankitgupta/Kaggle-Pandas-Solved-Exercises","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/mrankitgupta%2FKaggle-Pandas-Solved-Exercises","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrankitgupta%2FKaggle-Pandas-Solved-Exercises/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrankitgupta%2FKaggle-Pandas-Solved-Exercises/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrankitgupta%2FKaggle-Pandas-Solved-Exercises/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mrankitgupta","download_url":"https://codeload.github.com/mrankitgupta/Kaggle-Pandas-Solved-Exercises/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250330720,"owners_count":21413026,"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":["66daysofdata","ankitgupta","ankittalks","data-analysis","data-science","data-structures","data-visualization","datascience","kaggle","kaggle-notebook","kaggle-notebooks","mrankitgupta","pandas","pandas-dataframe","pandas-library","pandas-python","pandas-tutorial","python","python-library","python3"],"created_at":"2024-11-17T00:23:59.237Z","updated_at":"2025-04-22T21:46:22.355Z","avatar_url":"https://github.com/mrankitgupta.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align=\"center\"\u003e \u003ca href=\"https://kaggle.com/mrankitgupta\" target=\"blank\"\u003e\u003cimg align=\"center\" src=\"https://github.com/mrankitgupta/mrankitgupta/blob/main/images/kaggle-ar21.svg\" alt=\"mrankitgupta\" height=\"65\" width=\"155\" /\u003e\u003c/a\u003ePandas Solved Exercise \u003ca href=\"https://www.kaggle.com/learn/certification/mrankitgupta/pandas\" target=\"_blank\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/devicons/devicon/2ae2a900d2f041da66e950e4d48052658d850630/icons/pandas/pandas-original.svg\" alt=\"pandas\" width=\"55\" height=\"32\"/\u003e \u003c/a\u003e \u003c/h1\u003e\n\n**I'm sharing my Kaggle Pandas Course - Exercise Notebook which I have solved while undertaking this course in my journey of Data Science.** \n\nFor more detials, refer: \u003ccode\u003e[Data Analyst Roadmap](https://github.com/mrankitgupta/Data-Analyst-Roadmap)\u003c/code\u003e :hourglass:,  \u003ccode\u003e[Python Lessons](https://github.com/mrankitgupta/PythonLessons)\u003c/code\u003e 📑 \u0026  \u003ccode\u003e[Python Libraries for Data Science](https://github.com/mrankitgupta/PythonLibraries)\u003c/code\u003e 🗂️\n\n### Overview of Pandas - Python Library\n\nThe **Pandas Library** is arguably the most important library in the Python Data Science stack. It is the library of choice for working with small to medium sized data (anything that isn't quote-unqutoe \"big data\"). Much to most of the data manipulation that's done in the Python world is done using Pandas memory structures and tools, making it one of the most important libraries in the ecosystem.\n\n\u003ch2 align=\"left\"\u003eCertifications 📜 🎓 ✔️\u003c/h2\u003e\n\n- [Data Analysis with Python](https://github.com/mrankitgupta) - by IBM\n \n- [Data Visualization with Python](https://github.com/mrankitgupta) - by IBM\n\n- [Numpy](https://olympus1.mygreatlearning.com/course_certificate/IQVNJSIN) \u0026 [Matplotlib](https://olympus1.mygreatlearning.com/course_certificate/RNVTUIMW) - by Great Learning \n\n- [Databases and SQL for Data Science with Python](https://github.com/mrankitgupta) - by IBM\n\n- [Statistics for Data Science with Python](https://www.credly.com/badges/354576a0-b672-4245-8cad-82dc3f3df76f/public_url) - by IBM\n\n\n## \u003ca href=\"https://www.kaggle.com/learn/certification/mrankitgupta/pandas\"\u003ePandas\u003c/a\u003e\u003ca href=\"https://www.kaggle.com/learn/certification/mrankitgupta/pandas\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/devicons/devicon/2ae2a900d2f041da66e950e4d48052658d850630/icons/pandas/pandas-original.svg\" alt=\"pandas\" width=\"45\" height=\"30\"/\u003e \u003c/a\u003e - Python Library for Data Science by Kaggle \n\n**Prerequisite:** \u003ccode\u003e[Python Lessons](https://github.com/mrankitgupta/PythonLessons)\u003c/code\u003e 📑\n\n|**Sr.No. 🔢**|**Lessons 📕**| **Reference Links :link:**| **Exercises 👨‍💻**|\n|------|--------------------|---------------------|---------------------|\n|1| Basics, Data Structures - Series, DataFrame, Panel | [Pandas Course - by Kaggle](https://www.kaggle.com/learn/certification/mrankitgupta/pandas) | [Exercise 1](https://www.kaggle.com/code/mrankitgupta/pandas-1-exercise-creating-reading-and-writing/notebook) |\n|2| **Summary Functions and Maps, Operations** - Slicing, Merging | [Kaggle Notebooks on Pandas](https://www.kaggle.com/mrankitgupta/code) | [Exercise 2](https://www.kaggle.com/code/mrankitgupta/pandas-2exercise-indexing-selecting-assigning) |\n|3| **Operations** - Joining, Concatenation | [GitHub Repo on Pandas](https://github.com/mrankitgupta/Kaggle-Pandas-Solved-Exercises) | [Exercise 3](https://www.kaggle.com/code/mrankitgupta/pandas-3-exercise-summary-functions-and-maps) |\n|4| Changing Index \u0026 Column Header, Data Munging | [JavaTpoint](https://www.javatpoint.com/python-pandas)| [Exercise 4](https://www.kaggle.com/code/mrankitgupta/pandas-4-exercise-grouping-and-sorting) |\n|5| Grouping \u0026 Sorting, Data Types \u0026 Missing Values | [YouTube](https://www.youtube.com/watch?v=WGJJIrtnfpk\u0026t=30498s)| [Exercise 5](https://www.kaggle.com/code/mrankitgupta/pandas-5-exercise-data-types-and-missing-values) |\n|6| Renaming and Combining | [TutorialsPoint](https://www.tutorialspoint.com/python_pandas/index.htm)| [Exercise 6](https://www.kaggle.com/code/mrankitgupta/pandas-6-exercise-renaming-and-combining) |\n|7| Pandas-Matplotlib | :white_check_mark:| |\n\n### Projects in Python 👨‍💻\n\n|**Sr.No. 🔢**|**Projects 👨‍💻**| **Reference Links :link:**|\n|------|--------------------|---------------------|\n|**Python Project 1**| Spotify Data Analysis using Python | [GitHub Project](https://github.com/mrankitgupta/Spotify-Data-Analysis-using-Python) \u0026 [Kaggle Notebook](https://www.kaggle.com/code/mrankitgupta/spotify-data-analysis-using-python-project) |\n|**Python Project 2**| Boston Housing Data Analysis using Python | [Project](https://github.com/mrankitgupta/Statistics-for-Data-Science-using-Python-Project) |\n\n\n## Related Projects:question: 👨‍💻 🛰️\n\n\u003ccode\u003e[Data Analyst Roadmap](https://github.com/mrankitgupta/Data-Analyst-Roadmap)\u003c/code\u003e :hourglass: \n\n\u003ccode\u003e[Spotify Data Analysis using Python](https://github.com/mrankitgupta/Spotify-Data-Analysis-using-Python)\u003c/code\u003e 📊\n\n\u003ccode\u003e[Sales Insights - Data Analysis using Tableau \u0026 SQL](https://github.com/mrankitgupta/Sales-Insights-Data-Analysis-using-Tableau-and-SQL)\u003c/code\u003e 📊\n\n\u003ccode\u003e[Statistics for Data Science using Python](https://github.com/mrankitgupta/Statistics-for-Data-Science-using-Python)\u003c/code\u003e 📊\n\n\u003ccode\u003e[Python Lessons](https://github.com/mrankitgupta/PythonLessons)\u003c/code\u003e 📑\n\n\u003ccode\u003e[Python Libraries for Data Science](https://github.com/mrankitgupta/PythonLibraries)\u003c/code\u003e 🗂️\n\n### Liked my Contributions:question:[Follow Me](https://github.com/mrankitgupta/):point_right: [Nominate Me for GitHub Stars](https://stars.github.com/nominate/) :star: :sparkles:\n\n## For any queries/doubts 🔗 👇 \n\n### [Ankit Gupta](https://bio.link/AnkitGupta)\n\u003cp align=\"left\"\u003e \u003ca href=\"https://twitter.com/MrAnkitGupta_/\" target=\"blank\"\u003e\u003cimg src=\"https://img.shields.io/twitter/follow/MrAnkitGupta_?logo=twitter\u0026style=for-the-badge\" alt=\"MrAnkitGupta_\" /\u003e\u003c/a\u003e \u003c/p\u003e\n\n\u003ca href=\"https://www.linkedin.com/in/mrankitgupta\" target=\"blank\"\u003e\u003cimg align=\"center\" src=\"https://img.shields.io/badge/-MrAnkitGupta-blue?style=flat-square\u0026logo=Linkedin\u0026logoColor=white\u0026link=https://www.linkedin.com/in/mrankitgupta/\" alt=\"MrAnkitGupta\" height=\"20\" width=\"100\" /\u003e\u003c/a\u003e\n\u003ca href=\"https://www.instagram.com/MrAnkitGupta_\" target=\"blank\"\u003e\u003cimg align=\"center\" src=\"https://img.shields.io/badge/-@MrAnkitGupta_-D7008A?style=flat-square\u0026labelColor=D7008A\u0026logo=Instagram\u0026logoColor=white\u0026link=https://www.instagram.com/MrAnkitGupta_\" alt=\"MrAnkitGupta_\" height=\"20\" width=\"110\" /\u003e\u003c/a\u003e\n\u003ca href=\"https://ankitgupta.bio.link/\" target=\"blank\"\u003e\u003cimg align=\"center\" src=\"https://img.shields.io/badge/website-000000?style=for-the-badge\u0026logo=About.me\u0026logoColor=white\u0026link=https://ankitgupta.bio.link/\" alt=\"AnkitGupta\" height=\"20\" width=\"90\" /\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/mrankitgupta/\" target=\"blank\"\u003e\u003cimg align=\"center\" src=\"https://img.shields.io/github/followers/mrankitgupta?label=Follow\u0026style=social\u0026link=https://github.com/mrankitgupta/\" alt=\"MrAnkitGupta\" height=\"20\" width=\"90\" /\u003e\u003c/a\u003e\n\n  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrankitgupta%2Fkaggle-pandas-solved-exercises","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmrankitgupta%2Fkaggle-pandas-solved-exercises","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrankitgupta%2Fkaggle-pandas-solved-exercises/lists"}