Download Canopy For Mac

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‎Read reviews, compare customer ratings, see screenshots, and learn more about Canopy. Download Canopy for macOS 10.12 or later and enjoy it on your Mac. ‎Canopy brings real‐time notifications to GitHub. I am getting started with Python¶. For new users who want to install a full Python environment for scientific computing and data science, we suggest installing the Anaconda or Canopy Python distributions, which provide Python, IPython and all of its dependences as well as a complete set of open source packages for scientific computing and data science. Canopy for Mac lies within Developer Tools, more precisely General. This software for Mac OS X is an intellectual property of Enthought, Inc. The following version: 1.4 is the most frequently downloaded one by the program users. Through Canopy, users can easily access both the most “Enthought approved” current stable version as well as historical versions of the libraries in the scientific Python stack. Plus, Canopy provides a graphical package manager to easily search, install, and remove packages from the user environment.

There are multiple ways of installing IPython. This page contains simplified installationinstructions that should work for most users. Our official documentationcontains more detailed instructionsfor manual installation targeted at advanced users and developers.

If you are looking for installation documentation for the notebook and/or qtconsole,those are now part of Jupyter.

I already have Python¶

If you already have Python installed and are familiar with installing packages, you can get IPython with pip:

I am getting started with Python¶

For new users who want to install a full Python environment for scientific computing anddata science, we suggest installing the Anaconda or Canopy Python distributions, which provide Python, IPython and all of its dependences as well as a complete set of open source packagesfor scientific computing and data science.

  1. Download and install Continuum’s Anaconda or the free edition of Enthought’s Canopy.
  2. Update IPython to the current version using the Terminal:

Anaconda:

Enthought Canopy:

Downloads¶

You can manually download IPython from GitHub or PyPI. To install one of these versions, unpack it and runthe following from the top-level source directory using the Terminal:

It will take digital leaders capable of broad vision and deep work to transform and lead organizations into a digital future.

Introducing the Digital Transformation Technical Leaders Program

JSR is 3 years into their digital transformation journey with a new generation of scientists developing through the Technical Leaders Program. The most significant early wins have been in laboratory performance and efficiency gains enabling significantly more time for crafting innovative workflows using entirely new data sets.

The program combines classroom training and apprenticeship style work on real data and problems (over a 6 month period), followed by remote mentoring and ad hoc advanced courses.

'Enthought probed to find the pivot point that improved our process. They built the right AI tools and developed right skills in our scientists. We got immediately actionable value.'

– Mitsunobu (Nobu) Koshiba, CEO, JSR

Currently Representative Director, Chairman of the Board

Enthought collaborates with clients to de-mystify digital transformation, defining it as “a process of facilitating and accelerating an organization’s journey towards greater digital maturity”.

Digital Maturity is the result of a management-led strategy that includes integrated plans for data and infrastructure, developing and applying digital tools and growing scientists’ digital skills.

Digital Transformation– the Long Game

True digital transformation, beyond just implementing digital technologies and providing training, is a multi-year effort that requires significant commitment from across the organization. To sustain the change and motivate people for the longer term prize, it is necessary to deliver incremental and significant business value every 6-12 months. This value could be saving research scientist’s time, or introducing a new capability in the laboratory.

Watch VP Organizational Transformation Mike Connell set out the approach Enthought takes in collaborating with clients to implement a multi-year program to enable dramatic new capabilities.

Mike Connell 3m34s Digitally Transforming with Continuous Value to the Business

Science + Domain + Coding = Innovation
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Enthought experts have deep expertise in fundamental science, and come from multiple domains: for example life sciences, chemistry, oil & gas, manufacturing and aerospace. They also have expertise in scientific software development and a passion for problem solving.

Many clients recognize the need for similarly skilled experts to progress their own digital transformation initiatives.

From its origin in 2001, Enthought has provided training in scientific software, and today is focused on Python, now the most used programming language in science.

Customized scientific software

Through a collaborative approach with clients, Enthought builds customized scientific software that enables experts to approach problems in entirely new ways, creating new business possibilities.

By having experts who code with the domain expertise of clients, engagements are highly efficient, and software prototyping happens in days, rather than weeks and months. These software prototypes always target specific business problems, focused on delivering value early.

More than 80 of the Enthought 100+ staff hold STEM degrees, with more than 65 Ph.Ds.

This year SciPy will bring together over 900 scientists from across industry, academia, and government for the annual conference showcasing their latest projects. Panels, talks, tutorials, developer sprints and more make this a truly unique event.

Canopy Install

SciPy began in 2002, when Enthought CEO Eric Jones brought together a group of about 35 like-minded scientists at CalTech, passionate about the potential of the Python scientific software stack. Enthought remains the institutional sponsor of the SciPy Conference today.