https://github.com/mkcor/data-wrangling
Presentation material for PyLadies MTL (December 2016).
https://github.com/mkcor/data-wrangling
Last synced: 11 months ago
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Presentation material for PyLadies MTL (December 2016).
- Host: GitHub
- URL: https://github.com/mkcor/data-wrangling
- Owner: mkcor
- License: cc0-1.0
- Created: 2016-11-26T15:50:58.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2017-08-23T01:02:25.000Z (almost 9 years ago)
- Last Synced: 2025-02-21T12:44:54.009Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 1.67 MB
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Data Wrangling
Presentation for [PyLadies MTL](http://www.meetup.com/pyladiesmtl/).
## Setup
We run [Python 3.5.2](https://www.python.org/downloads/release/python-352/).
We use [virtual environments](https://virtualenv.pypa.io/) as a general good practice.
Let us create a virtual environment (virtualenv) for this project:
$ mkdir -p ~/.virtualenv
$ python3 -m venv ~/.virtualenv/data-wrangling
Activate the virtualenv:
$ source ~/.virtualenv/data-wrangling/bin/activate
When you are done working on this project, you can `$ deactivate`.
You may want to `$ pip install --upgrade pip`.
Install the dependencies:
$ pip install -r requirements.txt
I cannot wait to give [Pipfile](https://github.com/pypa/pipfile) a try!!
### Jupyter
Launch the Jupyter Notebook:
$ jupyter notebook