data-science.md

Data Science

Table of Contents

• Doc
• Open data
• Data storage
• Markup Language
• Languages
• Workflow/Pipelines tools
• Dataset
• Tools
• Data structure
• Algorithm
• Statistics
• Big Data and Cloud
• Books
• Course
• Misc

Doc

• Three Things About Data Science You Won't Find In the Books

Open data

• awesome-public-datasets - A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
• fivethirtyeight/data - Data and code behind the articles and graphics at FiveThirtyEight https://data.fivethirtyeight.com/

Data storage

• Ten Simple Rulesfor Digital Data Storage
• How to share data with a statistician

New tech

• IPFS is the Distributed Web

Markup Language

• YAML 语言教程

Languages

• Data Science with Python & R: Dimensionality Reduction and Clustering
• R vs Python: head to head data analysis | R vs Python：硬碰硬的数据分析
• DataPyR
• Choosing R or Python for data analysis? An infographic

Workflow/Pipelines tools

DSL

• GNU make, manual, Make 命令教程
• Common Workflow Language
• snakemake - Snakemake is a workflow management system that aims to reduce the complexity of creating workflows by providing a fast and comfortable execution environment, together with a clean and modern specification language in python style. Build bioinformatics pipelines with Snakemake
• nextflow - A DSL for data-driven computational pipelines http://nextflow.io
• sake - A self-documenting build automation tool

Language-dependent

• toil - A scalable, efficient, cross-platform and easy-to-use workflow engine in pure Python
• Ruffus - Ruffus is a Computation Pipeline library for python. It is open-sourced, powerful and user-friendly, and widely used in science and bioinformatics.

Dataset

• awesome-public-datasets - An awesome list of (large-scale) public datasets on the Internet. (On-going collection)

Tools

• csvkit - A suite of utilities for converting to and working with CSV, the king of tabular file formats. http://csvkit.rtfd.org/
• csvtk - Another cross-platform, efficient, practical and pretty CSV/TSV toolkit in Golang http://shenwei356.github.io/csvtk
• icdiff - improved colored diff http://www.jefftk.com/icdiff

Data structure

• skizze - A probabilistic data structure service and storage
• dablooms - A Scalable, Counting, Bloom Filter. Java, Python, Go edition.
• inbloom - Cross language bloom filter implementation
• HyperLogLog & HyperLogLog++, 大数据计算：如何仅用1.5KB内存为十亿对象计数 - Hyper LogLog 算法, 如何快速估计巨大 dataset 中unique 元素的数目

Algorithm

• Fast and Easy Levenshtein distance using a Trie
• 9 Distance Measures in Data Science

Statistics

• YGC的统计笔记
• 《On the scalability of statistical procedures: why the p-value bashers just don't get it》by Jeff Leek
• The Only Probability Cheatsheet You'll Ever Need
• Where priors come from (some popular distribution)
• Probabilistic Programming & Bayesian Methods for Hackers
• The Advanced Matrix Factorization Jungle
• R, STATISTICS, PSYCHOLOGY, OPEN SCIENCE, DATA VISUALIZATION

p-value

• Scientific method: Statistical errors
• P value ban: small step for a journal, giant leap for science
• Science Isn’t Broken
• Odds Are, It's Wrong

Big Data and Cloud

• 左耳朵耗子谈云计算：拼的就是运维
• 分布式系统的事务处理
• 【专治不明觉厉】之“大数据”
• hadoop和大数据的关系？和spark的关系？互补？并行？
• 后Hadoop时代的大数据架构
• Elements of Scale: Composing and Scaling Data Platforms
• http://www.analyticsvidhya.com/
• 数据科学家修炼宝典

Books

• Mining of Massive Datasets - The book is based on Stanford Computer Science course CS246: Mining Massive Datasets

Course

• Stanford Computer Science course CS246: Mining Massive Datasets
• algorithms for Big Data - This class will give you a biased sample of techniques for scalable data anslysis

Misc

• What to do with “small” data?
• Convert xlsx to csv in linux command line, use ssconvert of Gnumeric