Skip to main content

A general-purpose dataflow programming language based on Python, written in Python

Project description

Pythonect is a new, experimental, general-purpose dataflow programming language based on Python, written in Python. It aims to combine the intuitive feel of shell scripting (and all of its perks like implicit parallelism) with the flexibility and agility of Python.

Hello, world

Here is the canonical “Hello, world” example program in Pythonect:

"Hello, world" -> print

See the Pythonect Tutorial: Learn By Example for more examples and details.

Installation

There are a few ways to install Pythonect.

  1. You can install directly from PyPI using easy_install or pip:

    easy_install Pythonect

    or:

    pip install Pythonect
  2. You can clone the git repository somewhere in your system:

    git clone git://github.com/ikotler/pythonect.git

    Then you should do following steps:

    cd pythonect
    python setup.py install

    Alternatively, if you use pip, you can install directly from the git repository:

    pip install \
            git+git://github.com/ikotler/pythonect.git@master#egg=pythonect \
            -r https://github.com/ikotler/pythonect/raw/master/doc/requirements.txt

For any of the above methods, if you want to do a system-wide installation, you will have to do this with root permissions (e.g. using su or sudo).

Licensing

Pythonect is made available under a BSD license; see LICENSE for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Pythonect-0.3.0.tar.gz (15.9 kB view details)

Uploaded Source

File details

Details for the file Pythonect-0.3.0.tar.gz.

File metadata

  • Download URL: Pythonect-0.3.0.tar.gz
  • Upload date:
  • Size: 15.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for Pythonect-0.3.0.tar.gz
Algorithm Hash digest
SHA256 809036b5b1fe80103bfa878fa64e2baa29ab7156064308228277412b0c1e3d46
MD5 c721b3417f0ca3fce870cfbd98b2fb97
BLAKE2b-256 5c58bbf8176fa50f8dc136572be914852078bc469a42365767f4839c2be640af

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page