DataProcessing.md

Data Processing

1. pandas
   pandas is a package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python.
   Project Source: https://github.com/pydata/pandas
   Project Homepage: https://umn7e80ggjcywk4twu8f6wr.julianrbryant.com/

2. Faker
   Faker is a package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in your persistence to stress test it, or anonymize data taken from a production service, Faker is for you.
   Project Source: https://github.com/joke2k/faker
   Project Documentation: https://umn6e8y0g6kq2y2hyvt8m9hbhp7r4bjfqz23rw8.julianrbryant.com/en/latest/

3. tablib
   Tablib is a format-agnostic tabular dataset library, written in Python.
   Project Source: https://github.com/kennethreitz/tablib
   Project Documentation: https://umn56892w35r21xfzmt124mx7zgb04r.julianrbryant.com/en/latest/

4. data_hacks
   Command line utilities for data analysis.
   Project Source: https://github.com/bitly/data_hacks

5. fuzzywuzzy
   Fuzzy string matching like a boss.
   Project Source: https://github.com/seatgeek/fuzzywuzzy

6. snownlp
   Python library for processing Chinese text.
   Project Source: https://github.com/isnowfy/snownlp

7. jieba
   Chinese text segmentation.
   Project Source: https://github.com/fxsjy/jieba
   Online Demo Address: https://uhm0pk9px3znanmkwj8dux7ncyzaphjqyjg7gkm07a6cw.julianrbryant.com/

8. cubes
   Light-weight Python OLAP framework for multi-dimensional data analysis.
   Project Source: https://github.com/Stiivi/cubes
   Project Homepage: https://umn5e0b2w35uawxuq3fmgh2t1eja2.julianrbryant.com/