{"id":30851678,"url":"https://github.com/zipcodecore/wesch4-numpy","last_synced_at":"2026-01-20T17:21:48.440Z","repository":{"id":86514168,"uuid":"310348641","full_name":"ZipCodeCore/WesCh4-numpy","owner":"ZipCodeCore","description":"Numpy short intro, Ch 4","archived":false,"fork":false,"pushed_at":"2025-04-20T20:16:01.000Z","size":5,"stargazers_count":0,"open_issues_count":0,"forks_count":27,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-28T07:21:57.131Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/ZipCodeCore.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,"zenodo":null}},"created_at":"2020-11-05T15:56:42.000Z","updated_at":"2025-04-20T20:16:04.000Z","dependencies_parsed_at":null,"dependency_job_id":"ed76da0c-f92b-4a04-9214-68aad4cbac03","html_url":"https://github.com/ZipCodeCore/WesCh4-numpy","commit_stats":null,"previous_names":["zipcodecore/wesch4-numpy"],"tags_count":0,"template":true,"template_full_name":"ZipCodeCore/WesCh5-pandas","purl":"pkg:github/ZipCodeCore/WesCh4-numpy","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZipCodeCore%2FWesCh4-numpy","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZipCodeCore%2FWesCh4-numpy/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZipCodeCore%2FWesCh4-numpy/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZipCodeCore%2FWesCh4-numpy/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ZipCodeCore","download_url":"https://codeload.github.com/ZipCodeCore/WesCh4-numpy/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZipCodeCore%2FWesCh4-numpy/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28607626,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-20T16:10:39.856Z","status":"ssl_error","status_checked_at":"2026-01-20T16:10:39.493Z","response_time":117,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":[],"created_at":"2025-09-07T07:42:14.597Z","updated_at":"2026-01-20T17:21:48.413Z","avatar_url":"https://github.com/ZipCodeCore.png","language":"Jupyter Notebook","readme":"# WesCh4 NumPy Basics: Arrays and Vectorized Computation\n\nnotebook for ch4\n\n\nThis lab is a repo for your work on Wes McKinney's book \"Python for Data Analysis, 2nd Ed.\" in Chapter 4, _NumPy Basics: Arrays and Vectorized Computation_.\n\nAs for each of the chapters in this series, I want you follow the \"Coding The Hard Way\" methodology. (See Below)\n\nSO for this lab, I'd like to you to follow along with the chapter, typing in the code lines into your jupyter notebook within this repo. You should also add *markdown notes* about which section of the chapter the code refers. I'd suspect that there may be times when there is not enough information to perform the example, but Wes is pretty good at making sure you can follow along with the examples and get the same results.\n\nThe finished notebook will have all the inputs, outputs and graphs form following along in the chapter. There will be other labs where you'll have to do the same steps from some of the sections ona *different data set* than the one in the text. so you'll have TWO notebooks in those labs.\n\nBE SURE to commit at the end of every subsection, and push just about as often. Remember, commits and pushes are _FREE_ so use them liberally!\n\nSo to be clear, move through Chapter 4, typing in the inputs, running the code, getting the output. Add *Markdown Cells* when you want to comment a section or subsection.\n\nSubmit the lab when you're done.\n\n## Coding The Hard Way\n\nZed A. Shaw is a popular author of several books where he\ndescribes learning a programming language The Hard Way.\nZed suggests, and we at Zip Code agree with him wholeheartedly, that the best, most impactful, highest return for\nyour investment when learning to code, is _type the code\nusing your own fingers_.\n\nThat’s right. Whether you are a \"visual learner\", a \"video\nlearner\", or someone who can read textbooks like novels\n(are there any more of these out there?), the best way to\nlearn to code is to code and to code by typing out the code\nwith your own fingers. This means you DO NOT do a lot of\ncopy and paste of code blocks; you really put in the work,\nmaking your brain better wired to code by coding with\nyour own typing of the code.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzipcodecore%2Fwesch4-numpy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzipcodecore%2Fwesch4-numpy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzipcodecore%2Fwesch4-numpy/lists"}