getting-started-with-pyspark

the portable Python dataframe library

Simple and Distributed Machine Learning

Comparing the free tier offers of the major cloud providers like AWS, Azure, GCP, Oracle etc.

Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.

? A fast, easy and collaborative open source image annotation tool for teams and individuals.

Implementing best practices for PySpark ETL jobs and applications.

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

A curated list of awesome Apache Spark packages and resources.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Jupyter magics and kernels for working with remote Spark clusters