tianli9996 Goto Github PK

-python

All Algorithms implemented in Python

aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

breeze

Breeze is a numerical processing library for Scala.

cloudxlab

cuesheet

A framework for writing Spark 2.x applications in a pretty way

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

example-spark-kafka

Apache Spark and Apache Kafka integration example

examples

Demo applications and code examples for Confluent Platform and Apache Kafka

grab

基于spark、mahout和spring boot构建的推荐系统

high-performance-spark-examples

Examples for High Performance Spark

hive

Mirror of Apache Hive

incubator-predictionio

PredictionIO, a machine learning server for developers and ML engineers. Built on Apache Spark, HBase and Spray.

kafka-example

Simple example for reading and writing into Kafka

kafka-example-in-scala

a kafka producer and consumer example in scala and java

kafka-examples

Snippets and small examples demonstrating kafka features and configs

kafka-examples-1

Apache kafka examples

kontextfrei

Writing application logic for Spark jobs that can be unit-tested without a SparkContext

learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

learning-spark

Example code from Learning Spark book

learningspark

Scala examples for learning to use Spark

mmlspark

Microsoft Machine Learning for Apache Spark

pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

pandas_exercises

Practice your pandas skills!

presto

Distributed SQL query engine for big data

python

《笨方法学 Python》（Learn Python the Hard Way）学习笔记

python-

最良心的 Python 教程：

python-100-days

Python - 100天从新手到大师