Tinghu Yan's repositories

kotlin-for-android-developers-zh

Kotlin for android developers in chinese.

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wechatpy

WeChat SDK for Python

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stockholm

一个股票数据(沪深)爬虫和选股策略测试框架

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IPProxyPool

IPProxyPool代理池项目,提供代理ip

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qdata

Market data collectors for quant.

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ansible

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy. Avoid writing scripts or custom code to deploy and update your applications— automate in a language that approaches plain English, using SSH, with no agents to install on remote systems.

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youtube-dl

Command-line program to download videos from YouTube.com and other video sites

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pyalgotrade-cn

pyalgotrade tailored for Chinese stock market

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thefuck

Magnificent app which corrects your previous console command.

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stock-predict-by-RNN-LSTM

Stock prediction project using Recurrent Neural Network and LSTM

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SwitchyOmega

Manage and switch between multiple proxies quickly & easily.

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dbfsplit

split dbf file

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entity2vec

Semantic embeddings of entities

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django-wechat

Django实现微信公众号开发,封装官方API,可通过pip进行安装.

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Psinfo

Psinfo is a Volatility plugin which collects the process related information from the VAD (Virtual Address Descriptor) and PEB (Process Enivornment Block) and displays the collected information and suspicious memory regions for all the processes running on the system. This plugin should allow a security analyst to get the process related information and spot any process anamoly without having to run multiple plugins.

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pynance

Lightweight Python library for assembling and analysing financial data

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PyWind

get data from sinajs.cn

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easyhistory

用于获取维护股票的历史数据

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matplotlib-tutorial

Matplotlib tutorial for beginner

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klineyes

A k-line pattern recognition library written in Python.

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pyqt5-tutorial

Qt5 tutorial for the Python programming language.

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vnpy

基于python的开源交易平台开发框架

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get_recommend_stock

抓取同花顺level2广告页股票推荐数据,并发送邮件给指定邮箱

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cn_stock_src

Data source for stock data

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cx_Freeze-Wheels

cx_Freeze 5.0 for Python 3.5 on Windows

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scikit-learn-videos

IPython notebooks from the scikit-learn video series

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