wwj718

wwj718

Geek Repo

Company:DynaLab

Location:Sanya, China

Home Page:https://wwj718.github.io

Github PK Tool:Github PK Tool

wwj718's repositories

edx_data_research

edX data research @ McGillX

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bypy

Python client for Baidu Yun (Personal Cloud Storage) 百度云/百度网盘Python客户端

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ionic-elasticsearch

Django ElasticSearch Ionic 打造 GIS 移动应用

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vidquiz-xblock

edX XBlock that embeds YouTube videos and shows questions during playback.

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ANALYSE

Repository of the Learning Analytics tool ANALYSE for Open edX platform

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baymax

"Hello, I am your personal health companion"

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bigbluebutton

BigBlueButton is an open source web conferencing system for on-line learning.

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configuration

a simple, but flexible, way for anyone to stand up an instance of the edX platform that is fully configured and ready-to-go

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data-engineering-101

Introduction to Data Engineering workshop, learn to build a data pipeline with Luigi!

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devtools-snippets

A collection of helpful snippets to use inside of browser devtools

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django-react-blog

A blog application written in Django 1.8, ReactJS 0.13, and Flux 2.0.

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django-rest-framework

Web APIs for Django.

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edx-learning-dashboard-challenge

EdX Learning Dashboard.

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firefly

Interacting with Philips Hue with natural language, powered by parsetron

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flex_and_bison

Exercises from the oreilly book

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free-for-dev-zh

国内免费服务聚合, 造福**开发者

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IdiomSolitaire

成语接龙小游戏

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jquery-gist

collect jquery gist

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Learning-Markdown

Markdown guidance and reference(Markdown 入门参考)

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luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

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parsetron

A natural language semantic parser

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python-gist

collect python gist

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qcloudXBLock

针对腾讯云的edx XBlock

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rest-framework-tutorial

Source code for the REST framework tutorial.

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XBlock

XBlock courseware component architecture

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xblock-leaderboard

An XBlock for displaying the top voted threads in an inline discussion.

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Zhihu_bigdata

使用scrapy和pandas完成对知乎300w用户的数据分析。首先使用scrapy爬取知乎网的300w,用户资料,最后使用pandas对数据进行过滤,找出想要的知乎大牛,并用图表的形式可视化。

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