# \[ANN\] Numba 0.56.2 // llvmlite 0.39.1 **URL:** \ **Category:** Announcements\ **Created:** [September 2, 2022, 1:49pm UTC](https://numba.discourse.group/t/ann-numba-0-56-2-llvmlite-0-39-1/1542 "2022-09-02T13:49:44Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![esc](https://yyz2.discourse-cdn.com/free1/user_avatar/numba.discourse.group/esc/32/49_2.png) [@esc](https://numba.discourse.group/u/esc)\ **Post date:** [September 2, 2022, 1:49pm UTC](https://numba.discourse.group/t/ann-numba-0-56-2-llvmlite-0-39-1/1542/1 "2022-09-02T13:49:44Z")
Dear all, I am happy to announce the release of Numba 0.56.2 and llvmlite 0.39.1. This set of releases adds support for NumPy 1.23 and fixes some regressions and build issues. The changelogs can be found at: - [Numba 0.56.2](https://numba.readthedocs.io/en/0.56.2/release-notes.html) - [llvmlite 0.39.1](https://llvmlite.readthedocs.io/en/v0.39.1/release-notes.html) Due to a configuration error, the 0.56.1 release was skipped. Since the issues were detected after tagging a 0.56.2 was released instead. The tag 0.56.1 exists on the `github:numba/numba` repository but no packages shall be published for it on pypi or [anaconda.org](http://anaconda.org). The released packages may be installed with conda using: ```auto conda install -c numba numba ``` Or using pip: ```auto pip install numba ``` Alternatively, if you only need llvmlite, you may proceed as follows: ```auto conda install -c numba llvmlite ``` Or: ```auto pip install llvmlite ``` Additionally, note that, when using both NumPy 1.23 and SciPy in combination, a SciPy version 1.9 or greater is recommended. Depending on your platform, you may need to obtain this version from conda-forge when installing Numba using conda. For example: ```auto conda install conda-forge::scipy ``` Please do try the releases with your applications and/or libraries and report back any issues you may find. Thank you for using Numba!