我这里用的行情数据源是xtquant + miniQMT。 后续示例里会用到一些常见的 Python 库:pandas, numpy, matplotlib,进阶部分还会涉及 scipy, sklearn。在实际运行代码之前,记得先把环境配置好: 这样就能避免因为依赖缺失导致的报错啦。以下是一个基于xtquant + miniQMT获取股票 ...
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Abstract: Python is a simple, dominant and well-organized interpreted language. Python is used to develop the very high performance scientific related application and it is used to develop an ...
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In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...
Exploratory Data Analysis (EDA) and data cleaning script for a cafe sales dataset. Handles missing values, errors, and generates insights on transactions, sales trends, and correlations using Python ...