diff --git a/.gitignore b/.gitignore index 46fca29..eebc578 100644 --- a/.gitignore +++ b/.gitignore @@ -81,9 +81,6 @@ target/ profile_default/ ipython_config.py -# pyenv -.python-version - # pipenv # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. # However, in case of collaboration, if having platform-specific dependencies or dependencies diff --git a/.python-version b/.python-version new file mode 100644 index 0000000..e4fba21 --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.12 diff --git a/README.md b/README.md index 084cb81..88d715b 100644 --- a/README.md +++ b/README.md @@ -43,48 +43,53 @@ Pick the installation option that makes sense for you: ### Local Installation **Warning**: It is highly recommended that you use your personal laptop for the installation. -0. Install the following, if not already installed: - - [Anaconda](https://docs.anaconda.com/anaconda/install/)/[Miniconda](https://docs.conda.io/en/latest/miniconda.html) or [Mamba](https://mamba.readthedocs.io/en/latest/installation/mamba-installation.html) - - [Git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git) +1. Install [Git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git), if not already installed on your computer. -1. Fork this repository: +2. Fork this repository: ![location of fork button in GitHub](./media/fork_button.png) -2. Navigate to your fork, and click the **Code** button: +3. Navigate to your fork, and click the **Code** button: ![location of code button in GitHub](./media/code_button.png) -3. Clone your forked repository using the desired method from the **Local** tab: +4. Clone your forked repository using the desired method from the **Local** tab: local cloning options -4. Create and activate a conda virtual environment (on Windows, these commands should be run in **Anaconda Prompt**): +5. Install one of the following, if not already installed: + - [uv](https://docs.astral.sh/uv/getting-started/installation/) (recommended) + - [Anaconda](https://docs.anaconda.com/anaconda/install/)/[Miniconda](https://docs.conda.io/en/latest/miniconda.html) or [Mamba](https://mamba.readthedocs.io/en/latest/installation/mamba-installation.html). Note that Anaconda/Miniconda is recommended if you are working on a Windows machine and are not very comfortable with the command line. - ```shell - $ cd python-data-viz-workshop - ~/python-data-viz-workshop$ conda env create --file environment.yml - ~/python-data-viz-workshop$ conda activate data_viz_workshop - (data_viz_workshop) ~/python-data-viz-workshop$ - ``` +6. Set up your environment and launch JupyterLab: + - Using `uv`: - *Note: If you installed Mambaforge or have already installed `mamba` in your base environment, you can change `conda env create` to `mamba env create`.* + ```shell + $ cd python-data-viz-workshop + $ uv run jupyter lab + ``` -5. Launch JupyterLab: + - If you installed Anaconda/Miniconda, use `conda` (on Windows, these commands should be run in **Anaconda Prompt**): - ```shell - (data_viz_workshop) ~/python-data-viz-workshop$ jupyter lab - ``` + ```shell + $ cd python-data-viz-workshop + $ conda env create --file environment.yml + $ conda activate data_viz_workshop + (data_viz_workshop) $ jupyter lab + ``` -6. Navigate to the `0-check_your_env.ipynb` notebook in the `notebooks/` folder: + *Note: If you installed Mambaforge or have already installed `mamba` in your base environment, you can change `conda env create` to `mamba env create`.* + +7. Navigate to the `0-check_your_env.ipynb` notebook in the `notebooks/` folder: ![open 0-check_your_env.ipynb](./media/open_env_check_notebook.png) -7. Run the notebook to confirm everything is set up properly: +8. Run the notebook to confirm everything is set up properly: ![check env](./media/env_check.png) ### Docker Installation + 0. Install the following, if not already installed: - [Docker](https://docs.docker.com/get-docker/) - [Git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git) @@ -105,13 +110,13 @@ Pick the installation option that makes sense for you: ```shell $ cd python-data-viz-workshop - ~/python-data-viz-workshop$ docker compose build + $ docker compose build ``` 5. Launch JupyterLab from within a Docker container: ```shell - ~/python-data-viz-workshop$ docker compose up + $ docker compose up ``` You should be able to access the environment at diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..590402c --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,25 @@ +[project] +name = "python-data-viz-workshop" +version = "3.0.0" +description = "A workshop on data visualization in Python created by Stefanie Molin" +readme = "README.md" +license-files = [ "LICENSE" ] +authors = [ + { name = "Stefanie Molin", email = "python-data-viz-workshop@stefaniemolin.com" }, +] +requires-python = ">=3.9" +dependencies = [ + "bokeh==3.4.1", + "ffmpeg", + "geopandas==0.14.4", + "jupyterlab>=4.1.8", + "matplotlib==3.8.4", + "numpy==1.26.4", + "pandas==2.2.2", + "seaborn==0.13.2", + "shapely==2.0.4", + "geoviews==1.12.0", + "holoviews==1.18.3", + "hvplot==0.9.2", + "panel==1.4.2", +] diff --git a/uv.lock b/uv.lock new file mode 100644 index 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