English | https://github.com/nocobase/nocobase/blob/main/README.zh-CN.md NocoBase is a scalability-first, open-source no-code development platform. Instead of investing years of time and millions of dollars in research and development, deploy NocoBase in a few minutes and you'll have a private, controllable, and extremely scalable no-code development platform! [...] NocoBase supports three installation methods: https://docs.nocobase.com/welcome/getting-started/installation/docker-compose Suitable for no-code scenarios, no code to write. [...] https://docs.nocobase.com/welcome/getting-started/installation/create-nocobase-app The business code of the project is completely independent and supports low-code development.

#installation-with-pip-install Directly install from https://pypi.org/project/promplate/: pip install promplate[openai] We are using OpenAI just for demonstration. All the code below should run “as is”, which means you can copy and paste them in your terminal and it will work fine. >>> from promplate.llm.openai import ChatComplete # this simply wraps OpenAI's SDK >>> complete = ChatComplete(api_key="...") [...] >>> import time >>> from promplate import Template >>> greet = Template("Greet me. [...] You can initialize a Task with a string like initiating a Template: >>> from promplate import Node >>> greet = Node("Greet me.

https://github.com/jianchang512/pyvideotrans/blob/main/README_EN.md / https://github.com/jianchang512/pyvideotrans/blob/main/about.md / Q群 905857759 / 微信公众号：搜一搜“ pyvideotrans ” 语音识别支持 faster-whisper模型 openai-whisper模型 和 GoogleSpeech zh_recogn阿里中文语音识别模型. [...] 文字合成语音支持 Microsoft Edge tts Google tts Azure AI TTS Openai TTS Elevenlabs TTS 自定义TTS服务器api GPT-SoVITS https://github.com/jianchang512/clone-voice 允许保留背景伴奏音乐等(基于uvr5) [...] 打开终端窗口，分别执行如下命令 brew install libsndfile brew install ffmpeg brew install git brew install python@3.12 [...] 终端中执行命令 git clone https://github.com/jianchang512/pyvideotrans 执行命令 cd pyvideotrans 继续执行 python -m venv venv 继续执行命令 source./venv/bin/activate，执行完毕查看确认终端命令提示符已变成已(venv)开头,以下命令必须确定终端提示符是以(venv)开头 执行 pip install -r requirements.txt --no-deps，如果提示失败，执行如下2条命令切换pip镜像到阿里镜像 pip config set global.index-url https://mirrors.aliyun.com/pypi/simple/ pip config set install.trusted-host mirrors.aliyun.com 然后重新执行 如果已切换到阿里镜像源，仍提示失败，请尝试执行 pip install -r requirements.txt --ignore-installed --no-deps python sp.py 打开软件界面 https://pyvideotrans.com/mac.html

ZTM is an open source network infrastructure software for running a decentralized network. It is built upon HTTP/2 tunnels and can run on any sort of IP networks such as LANs, containerized networks and the Internet, etc. ZTM lays the foundation for building decentralized applications by providing a set of core capabilities including: Network connectivity across Internet gateways and firewalls [...] If not, or if you're unsure whether your installed Pipy version is compatible to ZTM, follow these steps to build Pipy from source. [...] After the CA service is up and running, start a hub pointing to the CA service: pipy hub/main.js -- --ca=localhost:9999

今日开源 → strapi.io

别折腾了，这才是最佳选择 headless CMS

• 节省 200 小时

使用 npm 创建 🫡 + 管理面板 + 多数据库支持 + 富文本 + 多语言 + 文件资源管理 + API 接口自定义 + 权限定义 + 海量插件

✦ @reactjs @radix_ui @vite_js @MasteringRQuery

来自 @strapijs

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上面这个策略的代码如下： python import pandas as pd from trade_strategies import BaseTradeStrategy, TradeSignalState class RsiStrategy(BaseTradeStrategy): """Relative Strength Index (RSI) Trading Strategy""" # 默认参数 params = { 'rsi_period': 14, 'rsi_overbought': 70, 'rsi_oversold': 30, } def __init__(self, params=None): super().__init__() if params: self.params.update(params) def set_data(self, symbol, data): self.symbol = symbol self.data = data self.calculate_indicators() def calculate_indicators(self): delta = self.data['Close'].diff() gain = (delta.where(delta > 0, 0)).rolling(window=self.params['rsi_period'], min_periods=1).mean() loss = (-delta.where(delta self.params['rsi_overbought'] def generate_signals(self): signals = [TradeSignalState.EMPTY.value for _ in range(len(self.data))] for i in range(1, len(self.data)): if self.is_buy_signal(self.data['rsi'].iloc[i]): signals[i] = TradeSignalState.BUY.value elif self.is_sell_signal(self.data['rsi'].iloc[i]): signals[i] = TradeSignalState.SELL.value else: signals[i] = TradeSignalState.EMPTY.value signal_df = pd.DataFrame({ 'symbol': self.symbol, 'open': self.data['Open'], 'high': self.data['High'], 'low': self.data['Low'], 'close': self.data['Close'], 'volume': self.data['Volume'], 'rsi': self.data['rsi'], 'signal': signals }) return signal_df

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