BETA 測試版
CowLangO 是專門製作使用者介面的簡易程式語言,目前使用於 牛牛 Announcer
Pro Tip! 目前不提供 CowLangO 離線版,若有需要可以到 CowLangO Github 告訴我們。
| Umm This Is Still In Beta But Okie |
| import requests | |
| json = { | |
| "message": "message content" | |
| } | |
| response = requests.post("https://m.scratchthings.repl.co") | |
| print(response.content) |
BETA 測試版
CowLangO 是專門製作使用者介面的簡易程式語言,目前使用於 牛牛 Announcer
Pro Tip! 目前不提供 CowLangO 離線版,若有需要可以到 CowLangO Github 告訴我們。
Running a LINE Bot with a basic classroom functionality, with homework and market commands.
Here's the editting format:
HOMEWORK_CONTENT - Homework contentHOMEWORK_CONTENT$$DUE - Homework content with a due date.
$$none - No due date (green).$$today - Due today (red).$$DATE - Due on a custom date. (e.g. Friday)| from linelib import Client # pip install linelib | |
| client = Client('channel secret', 'channel access token') | |
| @client.event('text') | |
| async def text_msg(ctx): | |
| await ctx.send('Hello, World!') | |
| client.run() |
| from rapiz.app import API, APIContext | |
| import time | |
| api = API() | |
| @api('/api/user', methods=['GET', 'POST']) | |
| def user(res: APIContext): | |
| return { | |
| "name": "John Cena", |
If you're watching the video tutorial Let's build the GPT Tokenizer by Andrej Karpathy and you want to copy the whole article, just clone this gist.
Clone this:
In [25]: !git clone https://gist.github.com/f48f35dd9456af1f278a349501aafab9.git
Out[25]: # Cloning into 'f48f35dd9456af1f278a349501aafab9'...
# remote: Enumerating objects: 4, done.| from typing import List, Tuple | |
| import requests | |
| from datasets import Dataset | |
| from selectolax.lexbor import LexborHTMLParser | |
| # News pages search total iterations | |
| N_NEWS_ITERS = 100 | |
| user_agent = ( |
replace {{ url }} to your discussion url