# SimpleITK 1.1 Release Candidate 2

**URL:** https://discourse.itk.org/t/simpleitk-1-1-release-candidate-2/771
**Category:** Announcements
**Tags:** simpleitk, python
**Created:** [March 14, 2018, 6:28pm UTC](https://discourse.itk.org/t/simpleitk-1-1-release-candidate-2/771 "2018-03-14T18:28:51Z")
**Posts on this page:** 1
**Page:** 1

<div class="post-metadata">

### Author: ![blowekamp](https://discourse.itk.org/user_avatar/discourse.itk.org/blowekamp/32/79_2.png) [@blowekamp](https://discourse.itk.org/u/blowekamp)
#### Post date: [March 14, 2018, 6:28pm UTC](https://discourse.itk.org/t/simpleitk-1-1-release-candidate-2/771/1 "2018-03-14T18:28:52Z")

</div>

For this Release Candidate we have added Conda packages in addition to the Python wheels. Please download and test the new RC!

# Announcement

We are pleased to announce SimpleITK 1.1 Release candidate 2.

## Release Notes

Please see the [1.1rc1 release notes](https://github.com/SimpleITK/SimpleITK/releases/tag/v1.0.1) for additional information since the 1.0.1 release.

- Improvements
  - Fixes and testing for image file reading and writing of 64-bit integer images across platforms.
  - Added ImageReaderBase::GetRegisteredImageIOs method to obtain list of loaded ITK ImageIO modules.
  - Added sitk::Version::ITKModulesEnabled method to obtain a list of ITK enabled modules when SimpleITK was built.
  - Added optional wrapping of the CoherenceEnahancingDiffusionImage filter ( this will not be enabled in binary distributions ).
  - Miscellaneous build and documentation fixes.

## Python Binary Downloads

- Many binary Python wheels are available for download and testing. It is important to have the latest pip version to ensure correct wheel compatibility. To install the SimpleITK package:

```auto
pip install --upgrade pip
pip install --pre -f https://github.com/SimpleITK/SimpleITK/releases/tag/v1.1rc2 SimpleITK

```

### Anaconda Binaries

- Many Conda packages for this release candidate have been upload to Anaconda Cloud on the SimpleITK channel with the `dev` label. These can be installed with:

```auto
conda install -c simpleitk/label/dev simpleitk

```