Easy, readable data processing in functional manner using pypely

• pypely

  3 16 2.9 Python

  From local functions to cloud deployed pipelines

In the last couple of weeks I have implemented pypely. It's a lightweight approach to structure your data processing tasks in a functional manner. Even if the package focuses on data processing it can be used in multiple domains. Check out the examples to see different applications of the package.

• fluent

  1 59 0.0 Python

  Python wrapper for stdlib (and other) objects to give them a fluent interface. (by dwt)

Yes it works with MPP engines as the package is not used for orchestration purposes. It is meant to encourage a coding paradigm: functional programming. The benefit of the package is that it provides functions that make it easy to apply functional programming to data processing tasks. Similar projects with a different focus are: fluentpy and Pipe

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Pipe

  6 1,852 5.3 Python

  A Python library to use infix notation in Python

Yes it works with MPP engines as the package is not used for orchestration purposes. It is meant to encourage a coding paradigm: functional programming. The benefit of the package is that it provides functions that make it easy to apply functional programming to data processing tasks. Similar projects with a different focus are: fluentpy and Pipe

Suggest a related project