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学生对 南京大学 提供的 Data Processing Using Python 的评价和反馈

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284 个评分

课程概述

This course (The English copy of "用Python玩转数据" <https://www.coursera.org/learn/hipython/home/welcome>) is mainly for non-computer majors. It starts with the basic syntax of Python, to how to acquire data in Python locally and from network, to how to present data, then to how to conduct basic and advanced statistic analysis and visualization of data, and finally to how to design a simple GUI to present and process data, advancing level by level. This course, as a whole, based on Finance data and through the establishment of popular cases one after another, enables learners to more vividly feel the simplicity, elegance, and robustness of Python. Also, it discusses the fast, convenient and efficient data processing capacity of Python in humanities and social sciences fields like literature, sociology and journalism and science and engineering fields like mathematics and biology, in addition to business fields. Similarly, it may also be flexibly applied into other fields. The course has been updated. Updates in the new version are : 1) the whole course has moved from Python 2.x to Python 3.x 2) Added manual webpage fetching and parsing. Web API is also added. 3) Improve the content order and enrich details of some content especially for some practice projects. Note: videos are in Chinese (Simplified) with English subtitles. All other materials are in English....

热门审阅

SR

Oct 21, 2018

The course provides an insight into the basic structure of Python. It will help you in navigating the areas where Python is robust and effective.

JL

Sep 11, 2017

It's a basic Python lesson, but providing some data analysis and GUI concepts, which needs you to explore after this class or in the future.

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26 - Data Processing Using Python 的 50 个评论(共 97 个)

创建者 Zhilin Z

Aug 20, 2018

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Aug 31, 2022

创建者 Ruiping G

Jan 17, 2021

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Jun 28, 2020

创建者 Mengfu D

Jan 30, 2022

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May 26, 2022

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Nov 22, 2018

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May 14, 2020

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Jul 11, 2021

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Sep 23, 2018

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Oct 31, 2017

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Jun 6, 2019

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Apr 20, 2020

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Oct 27, 2017

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Feb 7, 2018

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Jun 5, 2017

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Jun 26, 2020

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May 30, 2018

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Apr 6, 2018

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Mar 9, 2019

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May 26, 2017

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Mar 2, 2022

创建者 Jack 买

Jan 2, 2018