- Enthought Canopy is the programming platform of choice by myself for python 2.7, and is the tool I'm currently using for my project. We are keeping track of a bunch of data and making a lot of analysis on them.
- The Enthought Python Distribution is a cross-platform environment for scientific computing in Python, and includes the Canopy IDE and package manager. MSI has installed an academic-licensed version that includes hundreds of modules, including tools that enable efficient parallel computations.
Overview
Welcome to Enthought Canopy! Canopy provides Python 2.7 and 3.5, with easy installation and updates via a graphical package manager of over 450 pre-built and tested scientific and analytic Python packages from the Enthought Python Distribution. These include NumPy, Pandas, SciPy, matplotlib, scikit-learn, and Jupyter / IPython. Enthought Canopy is best suites for scripting data analytical concepts. It has a wide range of data analytical libraries and also is good for data visualization. I would not recommend using Enthought Canopy only as an IDE, there may be better options available. If you're looking for a good data simulation & visualization package, Canopy it is.
Enthought Canopy is a Python for scientific and analytic computing distribution and analysis environment. It is available for free for academic users. It includes Python, an integrated development environment, and libraries in the SciPy Software Stack (NumPy, SciPy, Mathplotlib, Pandas, …).
Installation
Canopy is available for MacOS, Windows, and Linux from Enthought at https://store.enthought.com/downloads/. Installation is rather straightforward: simply download the installer for your operating system, run the installer and follow the prompts. Installers are available for Python 2.7 or 3.5. Be sure to download version 3.5 for this course. Some more detailed instructions are available at the following links:
Welcome Screen
When you run Canopy you will be presented with a welcome screen that will have large buttons that allow you to access the various features of the environment. These include:
- Editor – an integrated development environment for creating Python programs.
- Package Manager – allows one to install and update Python packages.
- Doc Browser – various documentation files for Canopy.
- Training on Demand – a set of training videos for learning Python.
3D Scientific Data Visualization and Plotting
The Mayavi project includes two related <em>packages</em> for 3-dimensional visualization:
- Mayavi : A tool for easy and interactive visualization of data, withseamless integration with Python scientific libraries.
- TVTK: A Traits-based wrapper for the Visualization Toolkit, a popular open-source visualization library.
These libraries operate at different levels of abstraction. TVTK manipulates visualization objects, while Mayavi lets you operate on your data, and then see the results. Most users either use the Mayavi user interface or program to its scripting interface; you probably don't need to interact with TVTK unless you want to create a new Mayavi module.
Mayavi
Mayavi seeks to provide easy and interactive visualization of 3-D data. It offers:
- An (optional) rich user interface with dialogs to interact with all data andobjects in the visualization.
- A simple and clean scripting interface in Python, includingone-liners, or an object-oriented programming interface. Mayaviintegrates seamlessly with numpy and scipy for 3D plotting and can evenbe used in IPython interactively, similarly to Matplotlib.
- The power of the VTK toolkit, harnessed through these interfaces, without forcing you to learn it.
Enthought Canopy Vs Anaconda
Additionally Mayavi is a reusable tool that can be embedded in your applications in different ways or combined with the Envisage application-building framework to assemble domain-specific tools.
TVTK
TVTK wraps VTK objects to provide a convenient, Pythonic API, while supporting Traits attributes and NumPy/SciPy arrays. TVTK is implemented mostly in pure Python, except for a small extension module.Developers typically use TVTK to write Mayavi modules, and then use Mayavi to interact with visualizations or create applications.
The Mayavi application.
Enthought Canopy Download For Windows 10
Last updated: Tue 21 November 2017