利用Python 数据分析和云计算资源扩展

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利用云计算增强 Python 的可扩展的数据处理能力

利用云计算增强 Python 的可扩展的数据处理能力

认证
利用云计算增强 Python 的可扩展的数据处理能力

利用云计算增强 Python 的可扩展的数据处理能力

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课程视频时间

38 分钟
语言

英文
课程类型

线上

USD 10.00

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课程介绍

我们经常在自己的个人电脑上使用 Python 及其生态系统中的库和工具来分析数据。这样的方式高效、直观，而且广受信赖。然而，当数据集过大时，一台主机或服务器的性能是远远不够的。在本课程中，我们将介绍阿里云如何基于其云上的离线数据处理引擎，让我们既能利用 Python 简洁强大的功能，同时又能使用云上的接近无限计算资源。

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考试

认证:

Apsara Clouder—大数据：利用云计算增强 Python 的可扩展的数据处理能力
考试类型：

线上
语言:

英文
考试时间：

30 分钟
考试机会：

2次

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利用云计算增强 Python 的可扩展的数据处理能力

在本课程中，我们将介绍阿里云如何基于其云上的离线数据处理引擎，让数据分析师和数据科学家既能利用 Python 简洁强大的功能、同时又能利用云上的接近无限计算资源。

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课程目标
增强 Python 扩展性的方法
MaxCompute Python（PyODPS）介绍
5分钟快速启动在云上 Python 的数据分析
实践：利用公共数据集做数据分析

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