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Name: sxhylkl
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Bio: @三在道人
Name: sxhylkl
Type: User
Bio: @三在道人
python-scrapy demo
vue + bootstrap + echarts 数据统计
🕷🎯Python3爬虫项目进阶实战、JS加解密、逆向教程、css 加密、字体加密 - 犀牛数据 | 美团美食 | 企名片 | 七麦数据 | 淘大象 | 梦幻西游藏宝阁 | 国家企业信用信息公示系统 | 漫画柜 | 财联社 | **空气质量在线监测分析平台 | 66ip代理 | 零度ip | **产品大目录 | JSFuck | 咪咕视频 | 房天下 | 新浪微博 | 新浪二手房 | 极贷助手 | 裁判文书网 | 空中网 | 粉笔网 | 叮当快药 | 58同城 | wallhere
爬虫项目+简单数据分析
python && js 87fuli电影, 京东,今日头条,推酷,微博, 智联招聘,
《爬虫实战:从数据到产品》一书源代码
爬取CSDN上的博客文章
python开发的csdn自动下载及发货的QQ机器人
CSDN资源导出 QQ机器人自动下载CSDN资源
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
要了解的是电子商务网站运行的 A/B 测试的结果。你的目标是通过这个 notebook 来帮助公司弄清楚他们是否应该使用新的页面,保留旧的页面,或者应该将测试时间延长,之后再做出决定。
主要是爬虫与数据分析项目总结,外加建模与机器学习,模型的评估。
基于爬取拉钩网的数据分析师职位信息的可视化分析
分析AB测试结果
Introduction to Data Engineering workshop, learn to build a data pipeline with Luigi!
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
The book of data warehouse
数据分析相关
Python数据分析教程的资料
(已完结)《极客时间数据分析实战45讲-详细笔记》包含markdown、图片、思维导图、代码 、数据。 可直接阅读代码、测试!
An Mini-SQL engine developed in python using sqlparse
Databooks, the book of data.
数据中台产品
数据治理
Dataphin
:smiling_imp: by vue2.0 with echarts3.3.2
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.