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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,4 +1,98 @@ | ||
| # Python 数据科学实战 | ||
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| ```{tableofcontents} | ||
| ::::{grid} 2 | ||
| :reverse: | ||
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| :::{grid-item} | ||
| :columns: 4 | ||
| :class: sd-m-auto | ||
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||
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| ::: | ||
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| :::{grid-item} | ||
| :columns: 8 | ||
| :class: sd-fs-3 | ||
| 开源的、面向人文社科的、案例驱动的 Python 数据科学书籍。 | ||
|
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||
| % The SVG rendering breaks latex builds for the GitHub badge, so only include in HTML | ||
| ```{only} html | ||
| [](https://github.com/py-101/python-data-science) | ||
| ``` | ||
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||
| ::: | ||
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||
| :::: | ||
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| ::::{card-carousel} 3 | ||
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| :::{card} | ||
| :margin: 3 | ||
| :class-body: text-center | ||
| :class-header: bg-light text-center | ||
| **数据处理与计算 ✏️** | ||
| ^^^ | ||
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| 使用NumPy 和 pandas 进行数学计算、数据预处理。使用 matplotlib 和 plotly 进行数据可视化。 | ||
| ::: | ||
|
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||
| :::{card} | ||
| :margin: 3 | ||
| :class-body: text-center | ||
| :class-header: bg-light text-center | ||
| **机器学习 🚀** | ||
| ^^^ | ||
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| 使用 PyTorch、scikit-learn 和 statsmodels 进行机器学习。 | ||
| ::: | ||
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| :::: | ||
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| ## 主要作者 | ||
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| ::::{grid} | ||
| :class-container: text-center | ||
| :gutter: 3 | ||
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| :::{grid-item-card} | ||
| :link-type: doc | ||
| :class-header: bg-light | ||
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| 鲁蔚征 | ||
| ^^^ | ||
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| 中国人民大学助理研究员，CCF高性能计算专业委员会执行委员，主要研究大数据与机器学习系统，《Flink原理与实践》作者。 | ||
| ::: | ||
|
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||
| :::: | ||
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| ## 赞赏与支持 | ||
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| 如果您觉得本书有价值，您可通过支付宝或微信赞赏。 | ||
|
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||
| ::::{card-carousel} 2 | ||
|
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||
| :::{card} | ||
| :margin: 3 | ||
| :class-body: text-center | ||
| :class-header: bg-light text-center | ||
| **支付宝** | ||
| ^^^ | ||
| ```{image} ./img/donate/alipay.png | ||
| :height: 100 | ||
| ``` | ||
| ::: | ||
|
|
||
| :::{card} | ||
| :margin: 3 | ||
| :class-body: text-center | ||
| :class-header: bg-light text-center | ||
|
|
||
| **微信** | ||
| ^^^ | ||
| ```{image} ./img/donate/wechat.png | ||
| :height: 100 | ||
| ``` | ||
| ::: | ||
|
|
||
| :::: |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,4 +1,98 @@ | ||
| # Python 数据科学实战 | ||
|
|
||
| ```{tableofcontents} | ||
| ::::{grid} 2 | ||
| :reverse: | ||
|
|
||
| :::{grid-item} | ||
| :columns: 4 | ||
| :class: sd-m-auto | ||
|
|
||
|
|
||
| ::: | ||
|
|
||
| :::{grid-item} | ||
| :columns: 8 | ||
| :class: sd-fs-3 | ||
| 开源的、面向人文社科的、案例驱动的 Python 数据科学书籍。 | ||
|
|
||
| % The SVG rendering breaks latex builds for the GitHub badge, so only include in HTML | ||
| ```{only} html | ||
| [](https://github.com/py-101/python-data-science) | ||
| ``` | ||
|
|
||
| ::: | ||
|
|
||
| :::: | ||
|
|
||
| ::::{card-carousel} 3 | ||
|
|
||
| :::{card} | ||
| :margin: 3 | ||
| :class-body: text-center | ||
| :class-header: bg-light text-center | ||
| **数据处理与计算 ✏️** | ||
| ^^^ | ||
|
|
||
| 使用NumPy 和 pandas 进行数学计算、数据预处理。使用 matplotlib 和 plotly 进行数据可视化。 | ||
| ::: | ||
|
|
||
| :::{card} | ||
| :margin: 3 | ||
| :class-body: text-center | ||
| :class-header: bg-light text-center | ||
| **机器学习 🚀** | ||
| ^^^ | ||
|
|
||
| 使用 PyTorch、scikit-learn 和 statsmodels 进行机器学习。 | ||
| ::: | ||
|
|
||
| :::: | ||
|
|
||
| ## 主要作者 | ||
|
|
||
| ::::{grid} | ||
| :class-container: text-center | ||
| :gutter: 3 | ||
|
|
||
| :::{grid-item-card} | ||
| :link-type: doc | ||
| :class-header: bg-light | ||
|
|
||
| 鲁蔚征 | ||
| ^^^ | ||
|
|
||
| 中国人民大学助理研究员，CCF高性能计算专业委员会执行委员，主要研究大数据与机器学习系统，《Flink原理与实践》作者。 | ||
| ::: | ||
|
|
||
| :::: | ||
|
|
||
| ## 赞赏与支持 | ||
|
|
||
| 如果您觉得本书有价值，您可通过支付宝或微信赞赏。 | ||
|
|
||
| ::::{card-carousel} 2 | ||
|
|
||
| :::{card} | ||
| :margin: 3 | ||
| :class-body: text-center | ||
| :class-header: bg-light text-center | ||
| **支付宝** | ||
| ^^^ | ||
| ```{image} ./img/donate/alipay.png | ||
| :height: 100 | ||
| ``` | ||
| ::: | ||
|
|
||
| :::{card} | ||
| :margin: 3 | ||
| :class-body: text-center | ||
| :class-header: bg-light text-center | ||
|
|
||
| **微信** | ||
| ^^^ | ||
| ```{image} ./img/donate/wechat.png | ||
| :height: 100 | ||
| ``` | ||
| ::: | ||
|
|
||
| :::: |