{"id":16453762,"url":"https://github.com/muhammadalizkhan/python_fundamental","last_synced_at":"2025-02-26T20:43:05.159Z","repository":{"id":198080296,"uuid":"700037482","full_name":"muhammadalizkhan/Python_Fundamental","owner":"muhammadalizkhan","description":"This Repo Cover all the basic components of pandas library and Python Fundamental with Examples ","archived":false,"fork":false,"pushed_at":"2023-10-12T06:36:53.000Z","size":47,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-09T13:58:45.526Z","etag":null,"topics":["jupiter-notebook","pandas-python","python-3","python-script"],"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/muhammadalizkhan.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":"2023-10-03T20:29:07.000Z","updated_at":"2024-01-05T15:42:02.000Z","dependencies_parsed_at":null,"dependency_job_id":"1107a9e4-f77b-435e-b588-c942c27a0939","html_url":"https://github.com/muhammadalizkhan/Python_Fundamental","commit_stats":null,"previous_names":["muhammadalizkhan/python_fundamental"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/muhammadalizkhan%2FPython_Fundamental","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/muhammadalizkhan%2FPython_Fundamental/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/muhammadalizkhan%2FPython_Fundamental/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/muhammadalizkhan%2FPython_Fundamental/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/muhammadalizkhan","download_url":"https://codeload.github.com/muhammadalizkhan/Python_Fundamental/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240934408,"owners_count":19880991,"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":["jupiter-notebook","pandas-python","python-3","python-script"],"created_at":"2024-10-11T10:16:46.683Z","updated_at":"2025-02-26T20:43:05.138Z","avatar_url":"https://github.com/muhammadalizkhan.png","language":"Jupyter Notebook","readme":"# Python_Fundamental\nUse Google Colab + Jupyter Notebook\nI Implement the given outline of python with 3 examples of each data structure.\n\n1. Python Introduction\n\n1.1. Why Python?\n\n1.2. Where it is used?\n\n2. Data Types\n\n2.1 Variables\n\n2.1.1. Local variable\n\n2.1.2. Global Variables\n\n2.1.3. Global keyword\n\n2.2 Numbers\n\n2.2.1. Integer\n\n2.2.2. Floating point\n\n2.2.3. Complex\n\n2.3 Strings\n\n2.3.1. String Length\n\n2.3.2. String Methods\n\n2.3.3. Accesing the value of string\n\n2.3.4. Update the String\n\n2.3.5. String Special operators2.3.6. String Formatting operators\n\n2.4 Lists\n\n2.4.1. Create a List\n\n2.4.2. Access values of List\n\n2.4.3. Update the List\n\n2.4.4. Addition in List\n\n2.4.5. Deletion Methods in List\n\n2.4.6. Reverse the List\n\n2.4.7. List sorting\n\n2.5 Dictionaries\n\n2.5.1. Create a Dictionaries\n\n2.5.2. Access the value of Dictionary\n\n2.5.3. UPdate the Dictionary\n\n2.5.4. Delete the Dictionary (All Methods)\n\n2.5.5. Length of Dictionary\n\n2.6 Tuples\n\n2.6.1. Create a Tuples\n\n2.6.2. Access the value of Tuples\n\n2.6.3. UPdate the Tuples\n\n2.6.4. Delete the Tuples (All Methods)\n\n2.6.5. Length of Tuple\n\n2.7 Sets\n\n2.7.1. Create a Sets\n\n2.7.2. Access the items of Sets\n\n2.7.3. Add and Update items in Sets\n\n2.7.4. Delete the Sets (All Methods)\n\n3. Operators\n\n3.1. Arithmetic Operators\n\n3.2. Comarison Operators\n\n3.3. Logical Operators\n\n3.4. Assignment Operators\n\n4. Conditional statements\n\n4.1. If statement\n\n4.2. if-else statement\n\n4.3. if-else-if statement (Elif)\n\n5. Loops\n\n5.1. For loop5.2. Break statement\n\n5.3. Continue statement\n\n5.4. While loop\n\n5.5. Nested loops\n\n6. Functions\n\n6.1. Create a Function\n\n6.2. Calling a Function\n\n6.3. Parameters in a Function\n\n6.4. Default parameter in Function\n\n6.5. Return in Function\n\n7. Lambda Functions\n\n7.1. Syntax of Lambda Function\n\n7.2. Map()\n\n7.3. filter()\n\n7.4. Why, When and where it is used?\n\n8. Arrays\n\n8.1. Create, Access and Update Array\n\n9. Class and objects\n\n9.1. Create class and objects\n\n10. File I/O\n\n10.1. Reading input from keyboard\n\n10.2.I/O from text file\n\n10.2.1. Create a text file\n\n10.2.2. Reading a file\n\n10.2.3. write into a file\n\n10.3. File position\n\n10.4. Why, When and where File I/O is used?\n\n11. Pandas Library Introduction\n\n11.1. Read Dataset using Pandas\n\n11.2. Why, When and where it is used?\n\n12. Series\n\n12.1. Create a series\n\n12.2. From ndarray\n\n12.3. From dict\n\n12.4. From Scalar Value\n\n12.5. series is ndarray-like\n\n12.6. series is dict-like12.7. vectorized operations and label alignment with series\n\n18.8. Why, When and where Series is used?\n\n13. Data Frames\n\n13.1. From dict of series or dicts\n\n13.2. From dict of ndarrays /lists\n\n13.3. From a list of dicts\n\n13.4. From a dict of tuples\n\n13.5. Alternate constructors\n\n13.6. Cloumn Selection, Addition, and Deletion\n\n16.6.1. Column Selection\n\n16.6.2. Column Deletion\n\n16.6.3. Column Insertion\n\n13.7. Indexing/ Seletion\n\n13.8. Data Allignment and arithmetic\n\n13.9. Transposing\n\n13.10 Why, When and where DataFrames is used?\n\n14. Veiwing Data\n\n14.1. Data viewing Methods\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmuhammadalizkhan%2Fpython_fundamental","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmuhammadalizkhan%2Fpython_fundamental","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmuhammadalizkhan%2Fpython_fundamental/lists"}