Jetware - package: Python

Package

python-3.5.4

Module

python

Version

3.5.4

Other branches

3.6.3, 3.4.7, 2.7.14, 3.7.0a1

Role

python

Description

Python is a widely used high-level programming language for general-purpose programming.

An interpreted language, Python has a design philosophy which emphasizes code readability, and a syntax which allows programmers to express concepts in fewer lines of code than possible in languages such as C++ or Java. The language provides constructs intended to enable writing clear programs on both a small and large scale.

Python features a dynamic type system and automatic memory management and supports multiple programming paradigms, including object-oriented, imperative, functional programming, and procedural styles. It has a large and comprehensive standard library.

Web site

https://www.python.org/

Alternatives

host-python

Requires

libc, locale, openssl, expat, libffi, bzip2, xz, gdbm, sqlite, environ

Constructors (2)

Python runtime environment

A runtime environment for Python applications.

Machine Learning Education

The runtime environment constructor for the machine learning and deep learning tutorials and courses.

Appliances (6)

aise / Udacity Deep Learning Nanodegree Foundation program (nd101), NVidia GPU

The pre-configured and ready-to-use runtime environment for the Udacity's Deep Learning Nanodegree Foundation program (nd101). It includes Python 3.5, TensorFlow 1.0.0 and tflearn 0.30. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.

udacity-nd101-course:2018, cuda:8.0.61, cudnn:5.1.10, cuda_only-nvidia_drivers:384.111

aise / Udacity Deep Learning Nanodegree Foundation program (nd101), CPU only

udacity-nd101-course:2018

aise / Udacity Machine Learning Engineer Nanodegree program (nd009t), Python 3 NVidia GPU

The pre-configured and ready-to-use runtime environment for the Udacity's Machine Learning Engineer Nanodegree program (nd009t). It includes Python 3.5, TensorFlow 1.0.0 and Keras 2.0.2. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.

udacity-nd009t-course:2018, python:3.5.4, cuda:8.0.61, cudnn:5.1.10, cuda_only-nvidia_drivers:384.111

aise / Udacity Machine Learning Engineer Nanodegree program (nd009t), Python 3 CPU only

udacity-nd009t-course:2018, python:3.5.4

aise / Stanford CS231n course NVidia GPU (Original versions)

The pre-configured and ready-to-use runtime environment for the CS231n course - Convolutional Neural Networks for Visual Recognition, Stanford University, Spring 2017. It includes original (old) versions of Python, TensorFlow, and PyTorch, used in the course. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.

stanford-cs231n-course:1617spring, tensorflow:1.0.1, pytorch:0.1.11, keras:2.0.2, python:3.5.4, cuda:8.0.61, cudnn:5.1.10, cuda_only-nvidia_drivers:384.111