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Module
Python
python
Branches
3.6.3, 3.5.4, 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
Python
host-python
Constructors (2)
Python
Python runtime environment

A runtime environment for Python applications.

Machine learning education
Machine Learning Education

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

Appliances (132)
Machine learning
aise / TensorFlow 1.8 Python 3.6 CPU MKL Production
A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, and the Python programming language. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack is designed for short and long-running high-performance tasks, and can be easily integrated into continuous integration and deployment workflows. It is built with the Intel MKL and MKL-DNN libraries and optimized for running on CPU.
tensorflow:1.8.0, python:3.6.3, development_preset:1
Machine learning
aise / TensorFlow 1.8 Python 2.7 CPU MKL Production
A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, and the Python programming language. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack is designed for short and long-running high-performance tasks, and can be easily integrated into continuous integration and deployment workflows. It is built with the Intel MKL and MKL-DNN libraries and optimized for running on CPU.
tensorflow:1.8.0, python:2.7.14, development_preset:1
default
aise / TensorFlow 1.8 Python 3.6 CPU MKL Notebook
A pre-configured and fully integrated minimal runtime environment with TensorFlow, an open source software library for machine learning, Keras, an open source neural network library, Jupyter Notebook, a browser-based interactive notebook for programming, mathematics, and data science, and the Python programming language. The stack is built with the Intel MKL and MKL-DNN libraries and optimized for running on CPU.
tensorflow:1.8.0, keras:2.1.6, python:3.6.3, jupyter_notebook:1.0.0, development_preset:1
default
aise / TensorFlow 1.8 Python 2.7 CPU MKL Notebook
A pre-configured and fully integrated minimal runtime environment with TensorFlow, an open source software library for machine learning, Keras, an open source neural network library, Jupyter Notebook, a browser-based interactive notebook for programming, mathematics, and data science, and the Python programming language. The stack is built with the Intel MKL and MKL-DNN libraries and optimized for running on CPU.
tensorflow:1.8.0, keras:2.1.6, python:2.7.14, jupyter_notebook:1.0.0, development_preset:1
Machine learning
ricardocerq / dl
tensorflow:1.8.0, keras:2.1.2, python:3.6.3, jupyter_notebook:1.0.0, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:396.24, opencv:3.4.1, development_preset:1
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