Update python+package versions in install instructions (#224)

README.md

@@ -89,13 +89,13 @@ pip install ashlar
 ### Using a conda environment
 
 If you don't already have [miniconda](https://docs.conda.io/en/latest/miniconda.html)
-or [Anaconda](https://www.anaconda.com/products/individual), download the python
-3.x version and install. Then, run the following commands from a terminal (Linux/Mac)
-or command prompt (Windows):
+or [Anaconda](https://www.anaconda.com/products/individual), download Anaconda and
+install. Then, run the following commands from a terminal (Linux/Mac) or Anaconda
+command prompt (Windows):
 
-Create a named conda environment with python 3.10:
+Create a named conda environment with python 3.12:
 ```bash
-conda create -y -n ashlar python=3.10
+conda create -y -n ashlar python=3.12
 ```
 
 Activate the conda environment:
@@ -105,11 +105,10 @@ conda activate ashlar
 
 In the activated environment, install dependencies and ashlar itself:
 ```bash
-conda install -y -c conda-forge numpy scipy matplotlib networkx scikit-image=0.19 scikit-learn "tifffile>=2023.3.15" zarr pyjnius blessed
+conda install -y -c conda-forge numpy scipy matplotlib networkx scikit-image scikit-learn tifffile zarr pyjnius blessed
 pip install ashlar
 ```
 
 ### Docker image
 
-The docker image of ashlar is on DockerHub at `labsyspharm/ashlar` which should be
-suitable for many use cases.
+The docker image of ashlar is on DockerHub at [labsyspharm/ashlar](https://hub.docker.com/r/labsyspharm/ashlar) and should be suitable for many use cases.

docs/instructions/installation.md

@@ -18,13 +18,13 @@ pip install ashlar
 ### Using a conda environment
 
 If you don't already have [miniconda](https://docs.conda.io/en/latest/miniconda.html)
-or [Anaconda](https://www.anaconda.com/products/individual), download the python
-3.x version and install. Then, run the following commands from a terminal (Linux/Mac)
-or command prompt (Windows):
+or [Anaconda](https://www.anaconda.com/products/individual), download Anaconda and
+install. Then, run the following commands from a terminal (Linux/Mac) or Anaconda
+command prompt (Windows):
 
-Create a named conda environment with python 3.10:
+Create a named conda environment with python 3.12:
 ```bash
-conda create -y -n ashlar python=3.10
+conda create -y -n ashlar python=3.12
 ```
 
 Activate the conda environment:
@@ -34,11 +34,11 @@ conda activate ashlar
 
 In the activated environment, install dependencies and ashlar itself:
 ```bash
-conda install -y -c conda-forge numpy scipy matplotlib networkx scikit-image=0.16.2 scikit-learn pyjnius
+conda install -y -c conda-forge numpy scipy matplotlib networkx scikit-image scikit-learn tifffile zarr pyjnius blessed
 pip install ashlar
 ```
 
 ### Docker image
-The docker image of ashlar is on [DockerHub](https://hub.docker.com/r/labsyspharm/ashlar) and should be suitable for many use cases.
+The docker image of ashlar is on DockerHub at [labsyspharm/ashlar](https://hub.docker.com/r/labsyspharm/ashlar) and should be suitable for many use cases.
 
 **Return to the [quick start guide](./) to learn more about how to use ASHLAR.**