devin-petersohn Goto Github PK

adam

ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.

anna

A low-latency, cloud-native KVS

arrow

Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.

autoconfigbackgroundservice

Data driven phone data collection app. Runs entirely in the background and is fully configurable in the database.

cmp_sc3050

dask

Parallel computing with task scheduling

dataframe-summit

Materials for the dataframe summit at EuroSciPy 2019

dataframe_summit_2020

A collection of documents and materials related to the 2020 Dataframe Summit at BIDS in Berkeley, CA

datapythonista.github.io

df-bench

A benchmarking suite for profiling performance against pandas

distributed

A distributed task scheduler for Dask

docker-python

Kaggle Python docker image

docs

My writings.

dream_invivo_tf_binding_prediction_challenge_baseline

droplet

A stateful serverless platform

endive

finaldatascience

g_graph

gnocchi

ice_spring_2016

Code for the Spring 2016 Interactive Coding Experience for teaching Middle Schoolers how to code

lux

Python API for Intelligent Visual Data Discovery

mango

A scalable genome browser. Apache 2 licensed.

mavenprojecttest

modin

Modin: Make you pandas code faster by changing one line of code

modin-feedstock

A conda-smithy repository for modin.

modin-tutorial

Tutorial for how to use different features Modin

nbsafety

Fearless interactivity for Jupyter notebooks.

nucleus

Python and C++ code for reading and writing genomics data.

omniscripts

Scripts to benchmark omniscidb

osf15_exercise1

C-Programming Review, System Programming Intro