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appendix-A/01_optional-python-setup-preferences/README.md
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There are several different ways you can install Python and set up your computing environment. Here, I am illustrating my personal preference.
There are several different ways you can install Python and set up your computing environment. Here, I am illustrating my personal preference.
(I am using computers running macOS, but this workflow is similar for Linux machines and may work for other operating systems as well.)
@@ -12,9 +12,9 @@ There are several different ways you can install Python and set up your computin
Download miniforge from the GitHub repository [here](https://github.com/conda-forge/miniforge).
<img src="figures/download.png" alt="download" style="zoom:33%;" />
<img src="figures/download.png" alt="download" width="600px">
Depending on your operating system, this should download either an `.sh` (macOS, Linux) or `.exe` file (Windows).
Depending on your operating system, this should download either an `.sh` (macOS, Linux) or `.exe` file (Windows).
For the `.sh` file, open your command line terminal and execute the following command
@@ -24,7 +24,7 @@ sh ~/Desktop/Miniforge3-MacOSX-arm64.sh
where `Desktop/` is the folder where the Miniforge installer was downloaded to. On your computer, you may have to replace it with `Downloads/`.
<img src="figures/miniforge-install.png" alt="miniforge-install" style="zoom:33%;" />
<img src="figures/miniforge-install.png" alt="miniforge-install" width="600px">
Next, step through the download instructions, confirming with "Enter".
@@ -38,7 +38,7 @@ After the installation was successfully completed, I recommend creating a new vi
conda create -n LLMs python=3.10
```
<img src="figures/new-env.png" alt="new-env" style="zoom:33%;" />
<img src="figures/new-env.png" alt="new-env" width="600px">
> Many scientific computing libraries do not immediately support the newest version of Python. Therefore, when installing PyTorch, it's advisable to use a version of Python that is one or two releases older. For instance, if the latest version of Python is 3.13, using Python 3.10 or 3.11 is recommended.
@@ -48,7 +48,7 @@ Next, activate your new virtual environment (you have to do it every time you op
conda activate dl-workshop
```
<img src="figures/activate-env.png" alt="activate-env" style="zoom:33%;" />
<img src="figures/activate-env.png" alt="activate-env" width="600px">
## Optional: styling your terminal
@@ -66,13 +66,13 @@ To install new Python libraries, you can now use the `conda` package installer.
conda install jupyterlab watermark
```
<img src="figures/conda-install.png" alt="conda-install" style="zoom:33%;" />
<img src="figures/conda-install.png" alt="conda-install" width="600px">
You can also still use `pip` to install libraries. By default, `pip` should be linked to your new `LLms` conda environment:
<img src="figures/check-pip.png" alt="check-pip" style="zoom:33%;" />
<img src="figures/check-pip.png" alt="check-pip" width="600px">