Essential Math for Data Science

Accompanying math from book Essential Math for Data Science by Thomas Nield. This repository is not affiliated with Thomas Nield, the book "Essential Math for Data Science", or O'Reilly. Repository was made for personal learning purposes.

Table of Contents

• Setup
  • For Unix-based systems (macOS and Linux)
  • For Windows

Setup

For Unix-based systems (macOS and Linux)

1. Open a terminal and navigate to your project directory.

2. Create a virtual environment:

   python3 -m venv .venv

3. Activate the virtual environment:

   source .venv/bin/activate

4. Confirm virtual environment is activated:

   which python

5. Install project dependencies from a requirement file:

   python -m pip install -r requirements.txt

6. Create a Jupyter kernel for this environment:

   python -m ipykernel install --user --name=essential-math-for-data-science

7. Start Jupyter Notebook:

   jupyter notebook

For Windows

1. Open Command Prompt or PowerShell and navigate to your project directory.

2. Create a virtual environment:

   python -m venv .venv
   

3. Activate the virtual environment:

   .venv\Scripts\activate
   

4. Confirm virtual environment is activated:

   where python
   

5. Install project dependencies from a requirement file:

   python -m pip install -r requirements.txt
   

6. Create a Jupyter kernel for this environment:

   python -m ipykernel install --user --name=essential-math-for-data-science
   

7. Start Jupyter Notebook:

   jupyter notebook