lushacao

MOVE

MOVE (MSFragger Output Visualization & Evaluation) is a Python library for performing semi-quantitative analysis and visualization on MSFragger output

AppliedML_Python_Coursera

Material and note of the course of Applied ML in Python

Proteomics_Aplenc_lab

Proteomics data analytic pipeline

bagit-python

Work with BagIt packages from Python.

biolinkml

Biolink modeling language

biopandas

Working with molecular structures in pandas DataFrames

bqplot

Plotting library for IPython/Jupyter Notebooks

capstone

notesbooks for DHSI capstone

fhir

Official source for the HL7 FHIR Specification

fhirsdo

fhirschema.org project

fhirtordf

Python based FHIR to RDF conversion utility

flashtext

Extract Keywords from sentence or Replace keywords in sentences.

flask

The Python micro framework for building web applications.

fullstack-course4

Example code for HTML, CSS, and Javascript for Web Developers Coursera Course

GettingAndCleaningData

JHU-Coursera getting and cleaning data course

growthcleanr

gspread

Google Sheets Python API

jupyter

Jupyter metapackage for installation, docs and chat

jupyterhub

Multi-user server for Jupyter notebooks

labs

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

ProgrammingAssignment2

Repository for Programming Assignment 2 for R Programming on Coursera

Python-Assessment-Test

with Jupyter Notebook

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

rdflib-jsonld

JSON-LD parser and serializer plugins for RDFLib (Python 2.6+)

schemaorg

Schema.org - schemas and (appengine) software

sqlalchemy

The Database Toolkit for Python

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

the-unix-workbench

:house_with_garden: A Book for Anyone to Get Started with Unix

Variable-Tracking-and-Schema-Capturing-to-make-Biomedical-Research-Data-FAIR-