{"id":19672613,"url":"https://github.com/icheft/image-st","last_synced_at":"2026-05-18T00:05:36.728Z","repository":{"id":44746887,"uuid":"451974487","full_name":"icheft/IMAGE-st","owner":"icheft","description":"IMAGE Camp Advanced Python Course - Streamlit Gallery","archived":false,"fork":false,"pushed_at":"2022-01-27T09:53:28.000Z","size":81,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-27T05:15:37.252Z","etag":null,"topics":["python","stock","streamlit"],"latest_commit_sha":null,"homepage":"https://share.streamlit.io/icheft/image-st","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/icheft.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}},"created_at":"2022-01-25T17:25:11.000Z","updated_at":"2022-01-26T06:39:30.000Z","dependencies_parsed_at":"2022-08-27T22:11:40.733Z","dependency_job_id":null,"html_url":"https://github.com/icheft/IMAGE-st","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/icheft/IMAGE-st","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/icheft%2FIMAGE-st","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/icheft%2FIMAGE-st/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/icheft%2FIMAGE-st/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/icheft%2FIMAGE-st/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/icheft","download_url":"https://codeload.github.com/icheft/IMAGE-st/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/icheft%2FIMAGE-st/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266041984,"owners_count":23867960,"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":["python","stock","streamlit"],"created_at":"2024-11-11T17:12:45.724Z","updated_at":"2026-05-18T00:05:26.715Z","avatar_url":"https://github.com/icheft.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align=\"center\"\u003eIMAGE 2022\u003c/h1\u003e\n\n\u003ch2 align=\"center\"\u003eStockie - Building a Stock Analysis Web App in Python\u003c/h2\u003e\n\n\u003cdiv align=\"center\"\u003e\n\u003cem\u003eThis repository is affiliated under NTU IM 2022 IMAGE Camp\u003c/em\u003e\n\u003c/div\u003e\n\n\u003chr/\u003e\n\n+ [學員請看此](#學員請看此)\n    + [這是啥？](#這是啥)\n    + [怎麼使用？](#怎麼使用)\n+ [助教請看此](#助教請看此)\n    + [收到 `app.py` 時該怎麼做？](#收到-apppy-時該怎麼做)\n    + [還有其他問題？](#還有其他問題)\n\n## 學員請看此\n\n### 這是啥？\n\n你/妳正在看的頁面為 Building a Stock Analysis Web App in Python 的成果展示首頁。你可以在左側的菜單中選擇查看其他同學所做的成果。\n\n如果你不想要你的網頁在網站上顯示，煩請聯絡我們。也先在此致上十二萬分的歉意。\n\n### 怎麼使用？\n\n1. 每個人當初繳交的時有請同學填寫一個英文 ID\n2. 此 ID 即為你的 app 名稱，你有兩種存取方式：\n    + 直接透過網址訪問，例如：`https://share.streamlit.io/icheft/image-st?p=\u003cyour-app-id\u003e`\n    + 將左邊的 sidebar 點開來，在成果展示的搜尋欄位中輸入你/妳的 ID \n\n至於為什麼是 `image-st` 呢？*IMAGE* 顧名思義就是我們營隊的名稱，而 *st* 則是因為我們使用 Streamlit 來幫助我們部署成網站。此命名只是為了方便日後查看原始碼時，有更好的判斷。\n\n## 助教請看此\n\n### 收到 `app.py` 時該怎麼做？\n\n1. 首先，你應該在自己的電腦上面跑一遍同學的 `app.py`，並且將分數記錄下來。\n2. 評分標準可以參考此 [demo](https://share.streamlit.io/icheft/image2021-stock-analysis-tutorial/main?p=metrics)，上面有動態紀錄了評分的依據。\n3. 評分完之後，請在 GitHub 以你/妳的帳號為名的 branch 中裡的 `apps/` 資料夾中上傳同學的 `app.py` 檔案。**上傳前有幾個步驟需要請你幫忙：**\n    + 將同學的 `app.py` 改成 `\u003c他的 id\u003e.py`（中間不要用空格；e.g. 我的 `app.py` 應該要被改成 `icheft.py`）。原因有二：\n        + 證明助教有改過，並且可以正常執行\n        + 在雲端時可以直接用檔名 access 大家的 app\n    + 把檔案中散亂各處的 code 包成一個 `app()` function（如果沒有包的話）\n    \n    ```py\n    import streamlit as st\n    import yfinance as yf\n\n    def app():\n        ...\n    \n    if __name__ == '__main__':\n        app()\n    ```\n\n    + 確定該同學的 code 可以用 `app()` 執行。用 `streamlit run \u003cid\u003e.py` 要可以看到同學的網頁。\n\nYou're all set!\n    \n### 還有其他問題？\n\n請直接來找我！感恩 ^^\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ficheft%2Fimage-st","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ficheft%2Fimage-st","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ficheft%2Fimage-st/lists"}