solutions.md

## Solutions for exercises to get familiar with `conda`

### 1. Create a `conda` environment

Create a `conda` environment named `codeclub` that runs python version 3.8
and activate the environment.

Solution: `conda create -n codeclub python=3.8`
`conda activate codeclub`

### 2. Install packages

Install any version of `numpy` using the `pip` command and the latest version
of `fastqc` using `conda`. (Hint: You might need a specific channel here and you can search for it.)

Solution: `pip install numpy`
`conda search -c bioconda fastqc`
`conda install -c bioconda fastqc=0.11.9`

### 3. Save your environment to file

Export your environment to a YAML file and remove your environment.

Solution: `conda env export >> codeclub.yml`
`conda deactivate`
`conda env remove -n codeclub`

### 4. Create `conda` environment from YAML file

Use the YAML file  to create a new `conda` environment
and activate the environment.

Solution: `conda env create -f codeclub.yml`
`conda activate codeclub`

### 5. Uninstall packages

Uninstall `numpy` and `fastqc` from the newly created environment.

Solution: `pip uninstall numpy` 
`conda uninstall fastqc`

### 6. Remove environment

Remove the environment you created from the YAML file.

Solution: `conda deactivate`
`conda env remove -n codeclub`