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<h1 class="post-title"><a class="post-link" href="/post/quant/pandas_as_excel/">像Excel一样使用Pandas</a></h1>
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<span class="post-time"> 2023-04-16 </span>
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<a href="/categories/quant/"> quant </a>
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像Excel一样使用Pandas Pandas功能非常强大，API非常多。这次我们按照Excel的功能来探索Pandas的使用。同时为了更好的
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<h1 class="post-title"><a class="post-link" href="/post/quant/machine_learning_1/">从零开始机器学习 - 白话机器学习</a></h1>
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ChatGPT大火，大家都在跟踪这个热点。概念股在市场大火，相关不相关的公司都宣称要做AI；全网都在发布教程教你如何注册账号，如何利用Cha
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<span class="post-time"> 2023-02-12 </span>
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Pandas是一个开源的，BSD许可的库，为Python编程语言提供高性能，易于使用的数据结构和数据分析工具。和Numpy，Matplotl
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<h1 class="post-title"><a class="post-link" href="/post/quant/numpy_why/">为什么NumPy这么快</a></h1>
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<a href="/categories/quant/"> quant </a>
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NumPy是使用 Python 进行科学计算的基础包，是Python数据科学基础中的基础。它具有下面六大特点: 强大的 N 维数组。NumPy 向量化、索引和广播
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<h1 class="post-title"><a class="post-link" href="/post/python-env-2023/">Python 虚拟环境指南 2023 版</a></h1>
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<span class="post-time"> 2023-01-08 </span>
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Python在数据科学、机器学习领域也是重要利器(yyds)。这是一篇Python环境指南，告诉你如何配置Python环境，并安装相关的库，
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