DataScience

DataScience is a Python library designed to explore different classes for managing and analyzing data.

• Written by Professor John DeNero, Professor David Culler, Sam Lau, and Alvin Wan

Table of Contents

1. Installation

   • Using pip
   • GitHub

2. Dependencies

3. Developing

   • [Activating Environment]
   • [Deactivate Environment]

4. Usage

Installation

GitHub

Clone the following repository

git clone https://github.com/data-8/datascience.git

Using pip

Use the package manager pip to install the DataScience library.

pip install datascience

Dependencies

This project requires Python 3.6+ and the following key libraries:

• matplotlib
• numpy
• pandas
• scipy
• pytest (for testing)

Full Dependency List

For the full list of dependencies, see the requirements.txt and environment.yml

Developing

Install the dependencies into a new conda environment named datascience.

Activating Environment

source activate datascience

Deactivate Environment

source deactivate

Usage

from datascience import (here)

Select the class that you want to use.

from datascience import *

You can select all the classes with " * "

Example

Table().with_columns(
    'cars', make_array(1, 2, 3),
    'colors', make_array('red', 'blue', 'black')
)