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fonduer-tutorials

★ 101 Open GitHub ↗

A collection of simple tutorials for using Fonduer

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![fonduer-logo](https://raw.githubusercontent.com/HazyResearch/fonduer/master/docs/static/img/fonduer-logo.png)
# Fonduer Tutorials

## Introduction Tutorials

We have several [introductory tutorials](intro/) to help get you started with
using Fonduer.

## Hardware Tutorial

In this [tutorial](hardware/), we build a Fonduer application to tackle the
task of extracting maximum storage temperatures for specific transistor part
numbers from their datasheets (PDF format).

## Wiki Tutorial

In this [tutorial](wiki/), we use Fonduer to extract the place of of birth
for American presidents from their wikipedia html pages (HTML format).

### Hardware Figures Tutorial

In this [advanced tutorial](hardware_image/), we build a Fonduer application
to tackle the task of extracting images for specific transistors from their
datasheets. This demonstrates how `Fonduer` can be used for image data in
additional to text.

## Quick Start

```bash
docker-compose up
```

## Installation

### Dependencies

We use a few applications that you'll need to install and be sure are on your
PATH.

For OS X using [homebrew](https://brew.sh):

```bash
brew install poppler
brew install postgresql
brew install libpng freetype pkg-config
```

On Debian-based distros:

```bash
sudo apt install libxml2-dev libxslt-dev python3-dev libpq-dev
sudo apt build-dep python-matplotlib
sudo apt install poppler-utils
sudo apt install postgresql
```

For the Python dependencies, we recommend using a
[virtualenv](https://virtualenv.pypa.io/en/stable/). Once you have cloned the
repository, change directories to the root of the repository and run

```bash
virtualenv -p python3 .venv
```

Once the virtual environment is created, activate it by running

```bash
source .venv/bin/activate
```

Any Python libraries installed will now be contained within this virtual
environment. To deactivate the environment, simply run `deactivate`.

Then, install Fonduer and any other python dependencies by running:

```bash
pip install -r requirements.txt
```

### Running

After installing all the requirements, just run:

```
jupyter notebook
```

fonduer-tutorials

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