"Baseball thinking is medieval. They are asking all the wrong questions." -Moneyball (2011)

• Getting Started

Introduction to Baseball

If you aren't familiar with the game of baseball, fret not, this analysis is designed such that even someone with zero knowledge about the sport will be able to follow along. We will be going through some of the more baseball-specific terms that might confuse readers as we go along this analysis. However, I would highly recommend that you start by watching this short video on the rules of engagement of baseball

This analysis has been heavily inspired and influenced by the sports drama film Moneyball (2011), which is based on the 2003 nonfiction book Moneyball: The Art of Winning an Unfair Game, written by Michael Lewis. In the event that you have not seen the movie or have not finished the book, be warned, there may be spoilers ahead!

How to run the code

This is an executable Jupyter notebook hosted on Jovian.ml, a platform for sharing data science projects. You can run and experiment with the code in a couple of ways: using free online resources (recommended) or on your own computer.

Option 1: Running using free online resources (1-click, recommended)

The easiest way to start executing this notebook is to click the "Run" button at the top of this page, and select "Run on Binder". This will run the notebook on mybinder.org, a free online service for running Jupyter notebooks. You can also select "Run on Colab" or "Run on Kaggle".

Option 2: Running on your computer locally

1. Install Conda by following these instructions. Add Conda binaries to your system PATH, so you can use the conda command on your terminal.

2. Create a Conda environment and install the required libraries by running these commands on the terminal:

conda create -n zerotopandas -y python=3.8 
conda activate zerotopandas
pip install jovian jupyter numpy pandas matplotlib seaborn opendatasets --upgrade

3. Press the "Clone" button above to copy the command for downloading the notebook, and run it on the terminal. This will create a new directory and download the notebook. The command will look something like this:

jovian clone notebook-owner/notebook-id

4. Enter the newly created directory using `cd directory-name` and start the Jupyter notebook.

jupyter notebook

You can now access Jupyter's web interface by clicking the link that shows up on the terminal or by visiting http://localhost:8888 on your browser. Click on the notebook file (it has a `.ipynb` extension) to open it.