{"id":20356576,"url":"https://github.com/madhurimarawat/python-for-datascience","last_synced_at":"2025-08-23T18:04:58.712Z","repository":{"id":186087574,"uuid":"673352503","full_name":"madhurimarawat/Python-for-Datascience","owner":"madhurimarawat","description":"This repository contains programs in the python programming language.","archived":false,"fork":false,"pushed_at":"2025-07-13T05:35:05.000Z","size":12936,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-13T07:29:49.422Z","etag":null,"topics":["array","basic-programs","conditional-statements","csv-files","data-structures","datatypes","exception-handling","first-class-functions","functions","list","looping-statements","matplotlib","numpy","object-oriented-programming","operators","pandas","priority-queue","python-3","queue","stack"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Python-for-Datascience\nThis repository contains basic programs in the python programming language.\u003cbr\u003e\u003cbr\u003e\n\u003cimg src=\"https://media3.giphy.com/media/coxQHKASG60HrHtvkt/giphy.gif?cid=790b7611dkgau1ujakt3igpplm9r0nkfvams42q5y263yifr\u0026ep=v1_gifs_search\u0026rid=giphy.gif\u0026ct=g\" title=\"Python Gif\" alt=\"Python\"\u003e\n\n---\n\n# About Python Programming\n--\u003e Python is a high-level, general-purpose, and very popular programming language.\u003cbr\u003e\u003cbr\u003e\n--\u003e Python programming language (latest Python 3) is being used in web development, Machine Learning applications, along with all cutting-edge technology in Software Industry.\u003cbr\u003e\u003cbr\u003e\n--\u003e Python is available across widely used platforms like Windows, Linux, and macOS.\u003cbr\u003e\u003cbr\u003e\n--\u003e The biggest strength of Python is huge collection of standard library .\u003cbr\u003e\n\n---\n\n\u003ch1\u003eModes of Executions\u003c/h1\u003e\nPython programming language can be executed in the following two modes:\n\u003ch2\u003e1. Interactive mode\u003c/h2\u003e\n\u003ch3\u003ea) Python Shell\u003c/h3\u003e\nPython Shell is a command line tool that starts up the python interpreter to read a Python statement, \nevaluate the result of that statement and then prints the result on the screen.\u003cbr\u003e\n\u003ch3\u003eb) IDLE\u003c/h3\u003e\nIn Windows search Type IDLE. It is an acronym of \"Integrated DeveLopment Environment\".\u003cbr\u003e\n\u003ch3\u003ec) Anaconda\u003c/h3\u003e\nInstalling Anaconda Software and using Jupyter Notebook.\u003cbr\u003e\n\u003ch3\u003ed) Google Colab\u003c/h3\u003e\nColaboratory, or “Colab” for short, is a product from Google Research which allows anybody to write and execute python code in Jupyter notebook through the browser.\u003cbr\u003e\n\n\u003ch2\u003e2. Script mode\u003c/h2\u003e\nPython programs are written in editors and saved as the file with the .py extension which can be executed further.\u003cbr\u003e\n\n---\n\n\u003ch1\u003eBasic Datatypes\u003c/h1\u003e\n\n\u003cimg src= \"https://github.com/madhurimarawat/Python-for-Datascience/assets/105432776/62c5b8d2-21f1-4515-9b8a-8acf12ea1a58\" height=500px width=1010\u003e\n\n\u003ch2\u003e Numbers\u003c/h2\u003e\n✓ Number data type stores numerical values only.\u003cbr\u003e\u003cbr\u003e\n--\u003e It is further classified into three different types: \u003cbr\u003e\n\u0026nbsp   \u0026nbsp \u0026nbsp   a) Int  b) Float  c) Complex\n\u003ch2\u003eString\u003c/h2\u003e\n✓ A string is a group of characters and can include alphabets, digits or special characters including \nspaces.\u003cbr\u003e\u003cbr\u003e\n--\u003e We can use single, double, or triple quotes to define a string.\n\u003ch2\u003eList\u003c/h2\u003e\n✓ Lists are used when we need a simple iterable collection of data that may go for frequent modifications.\u003cbr\u003e\u003cbr\u003e\n--\u003e For example, if we store the names of students of a class in a list, then it is easy to update the list when \nsome new students join or some leave the course.\n\u003ch2\u003eTuple\u003c/h2\u003e\n✓ Tuples are used when we do not need any change in the data.\u003cbr\u003e\u003cbr\u003e\n--\u003e For example, names of months in a year.\n\u003ch2\u003eSets\u003c/h2\u003e\n✓ Sets are used when we need uniqueness of elements and to avoid duplicacy it is preferable to use sets.\u003cbr\u003e\u003cbr\u003e\n--\u003e For example, list of items in a museum.\n\u003ch2\u003eDictionary\u003c/h2\u003e\n✓ Dictionaries are used if our data is being constantly modified or we need a fast lookup based on a custom \nkey or we need a association between the key : value pair.\u003cbr\u003e\u003cbr\u003e\n--\u003e For Example, A mobile phone book is a good application of dictionary.\n\n---\n\n\u003ch1\u003eLibraries Used\u003c/h1\u003e\n\u003cp\u003eShort Description about all libraries used.\u003c/p\u003e\nTo install python library this command is used-\u003cbr\u003e\u003cbr\u003e\n\n```\npip install library_name\n```\n\n\u003cul\u003e\n\u003cli\u003eNumPy (Numerical Python) – Enables with collection of mathematical functions\nto operate on array and matrices. \u003c/li\u003e\n  \u003cli\u003ePandas (Panel Data/ Python Data Analysis) - This library is mostly used for analyzing,\ncleaning, exploring, and manipulating data.\u003c/li\u003e\n\u003cli\u003eMatplotlib - It is a data visualization and graphical plotting library.\u003c/li\u003e\n  \n\u003c/ul\u003e\n\n---\n\n## Thanks for Visiting 😄\n\nDrop a 🌟 if you find this repository useful.\u003cbr\u003e\u003cbr\u003e\nIf you have any doubts or suggestions, feel free to reach me.\u003cbr\u003e\u003cbr\u003e\n📫 How to reach me:  \u0026nbsp; [![Linkedin Badge](https://img.shields.io/badge/-madhurima-blue?style=flat\u0026logo=Linkedin\u0026logoColor=white)](https://www.linkedin.com/in/madhurima-rawat/) \u0026nbsp; \u0026nbsp;\n\u003ca href =\"mailto:rawatmadhurima@gmail.com\"\u003e\u003cimg src=\"https://github.com/madhurimarawat/Machine-Learning-Using-Python/assets/105432776/b6a0873a-e961-42c0-8fbf-ab65828c961a\" height=35 width=30 title=\"Mail Illustration\" alt=\"Mail Illustration📫\" \u003e \u003c/a\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmadhurimarawat%2Fpython-for-datascience","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmadhurimarawat%2Fpython-for-datascience","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmadhurimarawat%2Fpython-for-datascience/lists"}