{"id":17153320,"url":"https://github.com/axect/hep_cs","last_synced_at":"2025-07-26T04:31:32.746Z","repository":{"id":96228719,"uuid":"96072859","full_name":"Axect/HEP_CS","owner":"Axect","description":"Study numerical algorithm","archived":false,"fork":false,"pushed_at":"2017-09-13T08:47:37.000Z","size":12409,"stargazers_count":1,"open_issues_count":0,"forks_count":5,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-07-19T10:05:43.984Z","etag":null,"topics":["c","go","julia","mathematica","matlab","python"],"latest_commit_sha":null,"homepage":"","language":"Python","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/Axect.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":"2017-07-03T05:19:59.000Z","updated_at":"2017-08-09T06:03:02.000Z","dependencies_parsed_at":null,"dependency_job_id":"935a20f6-5065-4c0f-9d15-e5f46292c7a0","html_url":"https://github.com/Axect/HEP_CS","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Axect/HEP_CS","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Axect%2FHEP_CS","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Axect%2FHEP_CS/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Axect%2FHEP_CS/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Axect%2FHEP_CS/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Axect","download_url":"https://codeload.github.com/Axect/HEP_CS/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Axect%2FHEP_CS/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":267117250,"owners_count":24038640,"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","status":"online","status_checked_at":"2025-07-26T02:00:08.937Z","response_time":62,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["c","go","julia","mathematica","matlab","python"],"created_at":"2024-10-14T21:45:53.018Z","updated_at":"2025-07-26T04:31:32.738Z","avatar_url":"https://github.com/Axect.png","language":"Python","readme":"\u003ch1 style=\"text-align:center\"\u003eHEP-COSMO Coding Study\u003c/h1\u003e\n\u003cp style=\"text-align:right\"\u003eProvided by \u003cb\u003eTae Geun Kim\u003c/b\u003e\u003c/p\u003e\n\n## 1. Create Github Account\n\n1. Install Git\n    * Ubuntu : sudo apt-get install git\n    * Windows : Just Search \"Git windows\" or \"윈도우 Git\"\n\n2. Create Github account\n    * \u003ca href=\"https://github.com\" target='_blank'\u003ehttps://github.com\u003c/a\u003e\n\n3. If you create account, then please email to me (edeftg@gmail.com) - Contain your ID.\n\n## 2. Use Markdown\n\n* Github can read markdown. Markdown is simple and great tool to explain code\n* For example :\n    * Python\n    \n    ```python\n    import numpy as np\n    import pylab as plt\n    import seaborn as sns\n    import pandas as pd\n\n    class Derivative:\n        def __init__(self, f):\n            self.f = f\n            self.h = 1e-04\n\n        def Differentiate(self, x):\n            return (self.f(x+self.h) - self.f(x))/self.h\n\n        def __call__(self, x):\n            return Differentiate(x)\n    ```\n\n    * Go\n    \n    ```go\n    package main\n\n    import (\n        \"fmt\"\n        \"math\"\n    )\n\n    func Sqrt(x float64) string {\n        if x \u003e= 0 {\n            return fmt.SPrint(math.Sqrt(x))\n        }\n        return Sqrt(-x) + \"i\"\n    }\n    ```\n\n\n\n\n* All of this code is written by Markdown. (And even this document also)\n* You should learn markdown to use github\n\n## 3. Git\n\n1. Create repository at Github (No initialize)\n2. Make some directory on your computer (e.g SM)\n3. Make any files (e.g Higgs.txt)\n4. Should initialize your folder as follows:\n    1. git init\n    2. git remote add Any_Name(e.g origin) https://github.com/Your_Github_ID/Repository_Name\n    3. git config --global user.name Your_Name\n    4. git config --global user.email Your_Email\n    5. git add Higgs.txt\n    6. git commit -am \"Any_Message(Add some file or fix some file)\"\n    7. git push Any_Name(From ii.) master\n5. Now you can use git \u0026 github. Here is the brief manual:\n    * If you fix file only :\n        * git commit -am \"Log_Message\"\n        * git push Any_Name master\n    * If you add some file to directory :\n        * git add File_Name\n        * git commit -am \"Log_Message\"\n        * git push Any_Name master\n\n## 4. (Optional) Python - Jupyter\n\n1. Search \"Anaconda\" at Google.\n2. Download Python3.6 ver Conda.\n3. Export path? Y\n4. When download finished, type \"jupyter notebook\"\n    * Windows : Search Anaconda prompt in your computer and type on that\n    * Linux : Just type on bash shell\n\n## 5. (Optional) Go, Python - VSCode\n\n1. Download VScode (Visual Studio Code)\n2. Use it with various extensions","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faxect%2Fhep_cs","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faxect%2Fhep_cs","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faxect%2Fhep_cs/lists"}