{"id":20698269,"url":"https://github.com/mrankitgupta/python-libraries-roadmap","last_synced_at":"2025-04-22T21:46:27.899Z","repository":{"id":110814075,"uuid":"466824416","full_name":"mrankitgupta/Python-Libraries-Roadmap","owner":"mrankitgupta","description":"I am sharing lessons in various Python Libraries from scratch to intermediate including practice sets which were useful into my journey of Data Science.","archived":false,"fork":false,"pushed_at":"2022-11-16T07:00:58.000Z","size":28,"stargazers_count":8,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-29T19:11:18.318Z","etag":null,"topics":["66daysofdata","ai","analytics","ankitgupta","artificial-intelligence","data-science","data-visualization","libraries","library","machine-learning","matplotlib","mrankitgupta","numpy","pandas","python","python-libraries","python-library","pythonlib","scikit-learn","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Python","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":"2022-03-06T18:39:17.000Z","updated_at":"2024-10-25T17:19:15.000Z","dependencies_parsed_at":null,"dependency_job_id":"636ec655-f8a6-4882-8e75-00254bbe57bf","html_url":"https://github.com/mrankitgupta/Python-Libraries-Roadmap","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%2FPython-Libraries-Roadmap","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrankitgupta%2FPython-Libraries-Roadmap/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrankitgupta%2FPython-Libraries-Roadmap/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrankitgupta%2FPython-Libraries-Roadmap/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mrankitgupta","download_url":"https://codeload.github.com/mrankitgupta/Python-Libraries-Roadmap/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250330765,"owners_count":21413033,"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","ai","analytics","ankitgupta","artificial-intelligence","data-science","data-visualization","libraries","library","machine-learning","matplotlib","mrankitgupta","numpy","pandas","python","python-libraries","python-library","pythonlib","scikit-learn","tensorflow"],"created_at":"2024-11-17T00:23:59.820Z","updated_at":"2025-04-22T21:46:27.880Z","avatar_url":"https://github.com/mrankitgupta.png","language":"Python","readme":"\u003ch1 align=\"center\"\u003ePython Libraries for Data Analysis and Data Science Roadmap \u003ca href=\"https://github.com/mrankitgupta/PythonLessons\" target=\"_blank\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/devicons/devicon/master/icons/python/python-original.svg\" alt=\"python\" width=\"55\" height=\"40\"/\u003e \u003c/a\u003e \u003c/h1\u003e\n\n**I am sharing lessons in various Python Libraries from scratch to intermediate including practice sets which were useful into 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: \u0026 \u003ccode\u003e[Python Roadmap](https://github.com/mrankitgupta/Python-Roadmap)\u003c/code\u003e 📑\n\n### Overview of Python Libraries\n\nPython libraries are pre-written programs that allow developers to program more efficiently. They are easy to use and can be found in many different frameworks. These libraries provide an API (application programming interface) which makes it easy for developers to use them with their own software programs.\n\nPython libraries are a great way to data analysis and machine learning. They provide powerful functionality and flexibility for any task, regardless of the type of data. Python libraries make it easy for developers and data scientists to prototype and scale their models, regardless of their size or complexity.\n\nThe Python programming language comes with a built-in library called the “Standard Library” which has all the necessary modules for tasks like input/output, data manipulation, text processing, packaging, and more.\n\nMaking use of the Python Standard Library is not enough for many developers because it cannot accommodate all their needs. That is why there are also Python Libraries that can be imported in order to make them more efficient when accomplishing specific tasks.\n\n## Technologies used ⚙️\n\n* \u003ca href=\"https://github.com/mrankitgupta/Python-Lessons\"\u003ePython\u003c/a\u003e \u003ca href=\"https://github.com/mrankitgupta/Python-Lessons\" target=\"_blank\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/devicons/devicon/master/icons/python/python-original.svg\" alt=\"python\" width=\"25\" height=\"20\"/\u003e \u003c/a\u003e\n\n* \u003ca href=\"https://github.com/mrankitgupta/Spotify-Data-Analysis-using-Python\"\u003eStatistics\u003c/a\u003e\u003ca href=\"https://github.com/mrankitgupta/Spotify-Data-Analysis-using-Python\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/mrankitgupta/66DaysOfData/c8c040f1c85d921db317152567f331354446286a/statistics-21.svg\" alt=\"Statistics\" width=\"25\" height=\"25\"/\u003e \u003c/a\u003e\n\n##### Python Libraries : \n* \u003ca href=\"https://github.com/mrankitgupta/Kaggle-Pandas-Solved-Exercises\"\u003ePandas\u003c/a\u003e\u003ca href=\"https://github.com/mrankitgupta/Kaggle-Pandas-Solved-Exercises\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/devicons/devicon/2ae2a900d2f041da66e950e4d48052658d850630/icons/pandas/pandas-original.svg\" alt=\"pandas\" width=\"25\" height=\"20\"/\u003e \u003c/a\u003e \n\n* \u003ca href=\"https://numpy.org/\"\u003eNumPy\u003c/a\u003e\u003ca href=\"https://numpy.org/\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/mrankitgupta/mrankitgupta/2a582d085b324cff4917325112229027309ecae3/Numpy-logo.svg\" alt=\"numpy\" width=\"25\" height=\"20\"/\u003e \u003c/a\u003e \n\n* \u003ca href=\"https://matplotlib.org/\"\u003eMatplotlib\u003c/a\u003e\u003ca href=\"https://matplotlib.org/\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/mrankitgupta/mrankitgupta/1331979c3208a15be2c2a6177ffc38ced3d6b434/Matplotlib_icon.svg\" alt=\"matplotlib\" width=\"25\" height=\"20\"/\u003e \u003c/a\u003e \n\n* \u003ca href=\"https://seaborn.pydata.org\"\u003eSeaborn\u003c/a\u003e\u003ca href=\"https://seaborn.pydata.org\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://seaborn.pydata.org/_images/logo-mark-lightbg.svg\" alt=\"Seaborn\" width=\"25\" height=\"20\"/\u003e \u003c/a\u003e \n\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- [Pandas](https://www.kaggle.com/learn/certification/mrankitgupta/pandas) - by Kaggle\n \n- [Numpy](https://olympus1.mygreatlearning.com/course_certificate/IQVNJSIN) - by Great Learning \n\n- [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## Featured 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[Kaggle - Pandas Solved Exercises](https://github.com/mrankitgupta/Kaggle-Pandas-Solved-Exercises)\u003c/code\u003e 📊\n \n\u003ccode\u003e[Complete Python Roadmap](https://github.com/mrankitgupta/Python-Roadmap)\u003c/code\u003e 📑\n \n## Python Libraries for Data Analysis and Data Science \u003ca href=\"https://github.com/mrankitgupta/PythonLessons\" target=\"_blank\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/devicons/devicon/master/icons/python/python-original.svg\" alt=\"python\" width=\"35\" height=\"25\"/\u003e \u003c/a\u003e\n\nPython has become a staple in data science, allowing data analysts and other professionals to use the language to conduct complex statistical calculations, create data visualizations, build machine learning algorithms, manipulate and analyze data, and complete other data-related tasks more quickly and efficiently.\n\nThere are many different libraries in Python, which provide useful data analysis tools for scientists and engineers.These libraries can be used to analyze, graph and visualize data. They can also be used to create complex mathematical equations and 3D animations.\n\n**Prerequisite:** \u003ccode\u003e[Complete Python Roadmap](https://github.com/mrankitgupta/Python-Roadmap)\u003c/code\u003e 📑 \n\nPython has a number of libraries, like :\n\n\u003ch3 align=\"center\"\u003e \u003ca href=\"https://github.com/mrankitgupta/Kaggle-Pandas-Solved-Exercises\"\u003ePandas\u003c/a\u003e\u003ca href=\"https://github.com/mrankitgupta/Kaggle-Pandas-Solved-Exercises\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/devicons/devicon/2ae2a900d2f041da66e950e4d48052658d850630/icons/pandas/pandas-original.svg\" alt=\"pandas\" width=\"25\" height=\"20\"/\u003e \u003c/a\u003e \u003c/h3\u003e\n\n|**Sr.No. 🔢**|**Pandas 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\u003ch3 align=\"center\"\u003e \u003ca href=\"https://numpy.org/\"\u003eNumPy\u003c/a\u003e\u003ca href=\"https://numpy.org/\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/mrankitgupta/mrankitgupta/2a582d085b324cff4917325112229027309ecae3/Numpy-logo.svg\" alt=\"numpy\" width=\"25\" height=\"20\"/\u003e \u003c/a\u003e \n \u003c/h3\u003e\n \n|**Sr.No. 🔢**|**NumPy Lessons 📕**| **Reference Links :link:**| **Exercises 👨‍💻**|\n|------|--------------------|---------------------|---------------------|\n|1| Basics, NumPy v/s MATLAB, NumPy v/s List, NdArray, Datatypes, Array Attributes | [NumPy Tutorial - by Great Learning](https://olympus1.mygreatlearning.com/course_certificate/IQVNJSIN)| [Exercise 1](https://github.com/mrankitgupta/Python-Libraries/tree/main/Numpy%20Exercises/Exercise%201%20-%20NdArray) |\n|2| NdArray, Datatypes, Array Attributes | [JavaTpoint](https://www.javatpoint.com/numpy-tutorial)| [Exercise 2](https://github.com/mrankitgupta/Python-Libraries/tree/main/Numpy%20Exercises/Exercise%202%20-%20Indexing%20%26%20Slicing) |\n|3| Indexing \u0026 Slicing, Array Creation | [YouTube](https://www.youtube.com/watch?v=WGJJIrtnfpk\u0026t=27503s), [TutorialsPoint](https://www.tutorialspoint.com/numpy/index.htm) | [Exercise 3](https://github.com/mrankitgupta/Python-Libraries/tree/main/Numpy%20Exercises/Exercise%203%20-%20NumPy%20Broadcasting) |\n|4| Broadcasting, Operations, Functions | [TutorialsPoint](https://www.tutorialspoint.com/numpy/index.htm) | [Exercise 4](https://github.com/mrankitgupta/Python-Libraries/tree/main/Numpy%20Exercises/Exercise%204%20-%20NumPy%20Operations) |\n|5| Mathematics, Matrix, NumPy-Matplotlib | :white_check_mark:| [Exercise 5](https://github.com/mrankitgupta/Python-Libraries/tree/main/Numpy%20Exercises/Exercise%205%20-%20NumPy%20Matrix) \u0026 [Exercise 6](https://github.com/mrankitgupta/Python-Libraries/tree/main/Numpy%20Exercises/Exercise%206%20-%20NumPy-Matplotlib) |\n\n\u003ch3 align=\"center\"\u003e \u003ca href=\"https://matplotlib.org/\"\u003eMatplotlib\u003c/a\u003e\u003ca href=\"https://matplotlib.org/\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://raw.githubusercontent.com/mrankitgupta/mrankitgupta/1331979c3208a15be2c2a6177ffc38ced3d6b434/Matplotlib_icon.svg\" alt=\"matplotlib\" width=\"25\" height=\"20\"/\u003e \u003c/a\u003e \u003c/h3\u003e\n\n|**Sr.No. 🔢**|**Matplotlib Lessons 📕**| **Reference Links :link:**| **Exercises 👨‍💻**|\n|------|--------------------|---------------------|---------------------|\n|1| Basics, Data Visualization, Architecture, Concepts | [Matplotlib Course - by Great Learning](https://olympus1.mygreatlearning.com/course_certificate/RNVTUIMW)| [Exercise 1](https://github.com/mrankitgupta/Python-Libraries/tree/main/Matplotlib%20Exercises/Exercise%201%20-%20Line%20Graph) |\n|2| Pyplot \u0026 Subplot | [JavaTpoint](https://www.javatpoint.com/matplotlib) | [Exercise 2](https://github.com/mrankitgupta/Python-Libraries/tree/main/Matplotlib%20Exercises/Exercise%202%20-%20Bar%20Graph) |\n|3| 7 Types of plots | [YouTube](https://www.youtube.com/watch?v=WGJJIrtnfpk\u0026t=32953s)| [Exercise 3](https://github.com/mrankitgupta/Python-Libraries/tree/main/Matplotlib%20Exercises/Exercise%203%20-%20Histogram) \u0026 [Exercise 4](https://github.com/mrankitgupta/Python-Libraries/tree/main/Matplotlib%20Exercises/Exercise%204%20-%20Pie%20Chart) |\n|4| Multiple plots | [TutorialsPoint](https://www.tutorialspoint.com/matplotlib/index.htm) :white_check_mark:| [Exercise 5](https://github.com/mrankitgupta/Python-Libraries/tree/main/Matplotlib%20Exercises/Exercise%205%20-%20Scatter%20Plot) \u0026 [Exercise 6](https://github.com/mrankitgupta/Python-Libraries/tree/main/Matplotlib%20Exercises/Exercise%206%20-%203D%20Plot) |\n\n\u003ch3 align=\"center\"\u003e \u003ca href=\"https://seaborn.pydata.org\"\u003eSeaborn\u003c/a\u003e\u003ca href=\"https://seaborn.pydata.org\" target=\"_blank\" rel=\"noreferrer\"\u003e \u003cimg src=\"https://seaborn.pydata.org/_images/logo-mark-lightbg.svg\" alt=\"Seaborn\" width=\"25\" height=\"20\"/\u003e \u003c/a\u003e \u003c/h3\u003e\n\n|**Sr.No. 🔢**|**Seaborn Lessons 📕**| **Reference Links :link:**|\n|------|--------------------|---------------------|\n|1| Style functions | [YouTube](https://www.youtube.com/watch?v=WGJJIrtnfpk\u0026t=34338s) |\n|2| Color palettes | [TutorialsPoint](https://www.tutorialspoint.com/seaborn/index.htm) |\n|2| Distribution plots | [JavaTpoint](https://www.javatpoint.com/python-seaborn-library) |\n|2| Categorical plots |  |\n|2| Regression plots |  |\n|3| Axis grid objects | :white_check_mark:|\n\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## Useful sites to learn Coding in Python  :link:\n\n### YouTube Channels:\n\n| [freeCodeCamp.org](https://www.youtube.com/channel/UC8butISFwT-Wl7EV0hUK0BQ) | [Code With Harry](https://www.youtube.com/channel/UCeVMnSShP_Iviwkknt83cww), [Programming With Harry](https://www.youtube.com/channel/UC7btqG2Ww0_2LwuQxpvo2HQ) | [CodeBasics](https://www.youtube.com/c/codebasics) | [Edureka](https://www.youtube.com/channel/UCkw4JCwteGrDHIsyIIKo4tQ) | [Gate Smashers](https://www.youtube.com/c/GateSmashers) | [Jenny's Lectures](https://www.youtube.com/c/JennyslecturesCSITNETJRF) | [Simplilearn](https://www.youtube.com/channel/UCsvqVGtbbyHaMoevxPAq9Fg) | [Intellipaat](https://www.youtube.com/c/Intellipaat) |\n|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|\n\n### Other Learning Platforms:\n\n| [JavaTpoint](https://www.javatpoint.com/) | [TutorialsPoint](https://www.tutorialspoint.com/tutorialslibrary.htm) | [Geeks For Geeks](https://www.geeksforgeeks.org/) | [Code With Harry](https://www.codewithharry.com/) | [GitHub](https://github.com/mrankitgupta) | [Kaggle](https://www.kaggle.com/mrankitgupta) | [DataCamp](https://www.datacamp.com/) | [W3Schools](https://www.w3schools.com/) | [Guru99](https://www.guru99.com/) | [Dev](https://dev.to/mrankitgupta) |\n|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|\n \n### For Certifications:\n\n| [Coursera](https://coursera.org/share/c40b8f3c3c8ef8195d4dbfe8b2528f4d) | [Kaggle](https://www.kaggle.com/learn/certification/mrankitgupta/pandas) | [Simplilearn](https://www.simplilearn.com/skillup-certificate-landing?token=eyJjb3Vyc2VfaWQiOiI3OTUiLCJjZXJ0aWZpY2F0ZV91cmwiOiJodHRwczpcL1wvY2VydGlmaWNhdGVzLnNpbXBsaWNkbi5uZXRcL3NoYXJlXC90aHVtYl8zMzkyNjI4XzE2NTAxMTE0NzcucG5nIiwidXNlcm5hbWUiOiJBbmtpdCBHdXB0YSJ9\u0026utm_source=shared-certificate\u0026utm_medium=lms\u0026utm_campaign=shared-certificate-promotion) | [Great Learnings](https://olympus1.mygreatlearning.com/course_certificate/IQVNJSIN) | [Forage](https://www.theforage.com/) | [Edureka](https://www.edureka.co/) | [HackerRank](https://www.hackerrank.com/mrankitgupta)  | [Udemy](https://www.udemy.com/) | [Codechef](https://www.codechef.com/)  | [Upgrad](https://www.upgrad.com/) | [Udacity](https://www.udacity.com/) |\n|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|\n\n### For Coding Practice:\n| [HackerRank](https://www.hackerrank.com/mrankitgupta) | [Leetcode](https://leetcode.com/mrankitgupta1/) | [Kaggle](https://www.kaggle.com/mrankitgupta) | [Codechef](https://www.codechef.com/) | [Unstop](https://unstop.com/) | [HackerEarth](https://www.hackerearth.com/practice/) | [Codeforces](https://codeforces.com/) | [Interviewbit](https://www.interviewbit.com/) | [Google Dev](https://developers.google.com/) |\n|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|\n\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://bio.link/AnkitGupta\" 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://bio.link/AnkitGupta\" 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  \n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrankitgupta%2Fpython-libraries-roadmap","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmrankitgupta%2Fpython-libraries-roadmap","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrankitgupta%2Fpython-libraries-roadmap/lists"}