Lesson0_Prerequisites.md

Tutorial Pre-Work

In this tutorial, you will be building a search engine to search for product attributes using a Flask app and Elasticsearch.

To participate in this tutorial, you need to complete the following prerequisites:

1. Install Python 3.6.4.

2. Install Elasticsearch 6.2 and Kibana 6.2. (Note: You may need to install Java)

• For OS X, you can use Homebrew:

brew update
brew install kibana
brew install elasticsearch

brew services start elasticsearch
brew services start kibana

• For Windows or Linux, see the Elastic downloads page forElasticsearch and Kibana.

• Make sure you can visit http://localhost:5601/ and http://localhost:9200/ in your browser.

3. Clone the pycon-2018-pyelasticsearch repository to your computer by running:

git clone github.com/julieqiu/pycon-2018-pyelasticsearch

4. In root of the repository, set up a virtualenv:

python3 -m venv venv
source venv/bin/activate

5. Install the necessary python requirements:

pip install -r requirements.txt

6. Set up the searchapp:

pip install -e .

You're all set for the tutorial this Wednesday! :)

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Docker Compose Instruction

1. Clone the pycon-2018-pyelasticsearch repository to your computer by running:

git clone github.com/julieqiu/pycon-2018-pyelasticsearch

2. Download elasticsearch and kibana images; start containers via docker-compose

docker-compose up

3. In root of the repository, set up a virtualenv:

python3 -m venv venv
source venv/bin/activate

4. Install the necessary python requirements:

pip install -r requirements.txt

5. Set up the searchapp:

pip install -e .