PhD-Thesis-Notebooks

Notebooks containing the code used to generate most of the figures of my Ph.D. Thesis

Prerequisites

Before you begin, ensure you have met the following requirements:

• You have installed Anaconda or Miniconda.
• You have a basic understanding of Python programming.

Setting Up Your Development Environment

To set up the project development environment, follow these steps:

Cloning the Repository

First, clone the repository to your local machine:

git clone https://github.com/albertomercurio/PhD-Thesis-Notebooks
cd PhD-Thesis-Notebooks

Creating a Conda Environment

Create a new Conda environment by running:

conda create -n myenv python=3.12
conda activate myenv

Replace myenv with a name of your choice, and feel free to specify another version of Python if needed.

Installing Dependencies

Install the required packages using pip from the requirements.txt file:

pip install -r requirements.txt

Configuring VSCode to Use the Conda Environment

To use the newly created Conda environment in VSCode, particularly for running Jupyter notebooks, follow these steps:

1. Open VSCode.
2. Press Ctrl+Shift+P to open the Command Palette.
3. Type Jupyter: Select Interpreter to Start Jupyter Server and select it.
4. Choose the Conda environment you created earlier (it should be prefixed with Python 3.12 or the version you installed).

Running the Notebook

Make sure to activate your Conda environment and start VSCode from the same terminal to ensure the environment settings are retained:

conda activate myenv
code .

Now you can run the Jupyter notebooks from VSCode, ensuring all code executes within the context of your Conda environment.