data-environment

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

? 实时 零代码、全功能、强安全 ORM 库 ? 后端接口和文档零代码，前端(客户端) 定制返回 JSON 的数据和结构 ? Real-Time coding-free, powerful and secure ORM ? providing APIs and Docs without coding by Backend, and the returned JSON of API can be customized by Frontend(Client) users

大数据入门指南 :star:

JupyterLab computational environment.

Apache Doris is an easy-to-use, high performance and unified analytics database.

JuiceFS is a distributed POSIX file system built on top of Redis and S3.

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

专注大数据学习面试，大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...

Python training for business analysts and traders

Ready-to-run Docker images containing Jupyter applications