Data Science with Python workshop

Setup instructions

Install Anaconda with Python 3
Start the Anaconda Prompt terminal application.

Create a new environment with the required packages:

> conda update conda
> conda create -n DataSciPy -c conda-forge python=3.6 ipykernel numpy scipy matplotlib pandas scikit-learn seaborn statsmodels tensorflow keras cartopy

Activate the new environment (on Mac and Linux, start the first line with source), and install the kernel and another library:
```
> activate DataSciPy
> python -m ipykernel install --user
> pip install librosa
```
Download the workshop files from GitHub by clicking “Clone or download->Download ZIP” (you can git clone if you know how to).
Unzip the ZIP; make note of the unzipped folder location.
Run Jupyter from Anaconda Prompt after changing folder to the workshop folder:
```
cd <unzipped workshop folder>
jupyter lab
```
In the new browser window that just opened, choose index.ipynb.
Download the required data files for Day 3; open Anaconda Prompt, activate the environment (on Mac and Linux, start the first line with source), and run the download script:
```
> cd <unzipped workshop folder>
> activate DataSciPy
> python download_data.py
```