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1 change: 1 addition & 0 deletions .gitignore
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Expand Up @@ -310,3 +310,4 @@ GitHub.sublime-settings

### pythonkc.github.io-src ###
output
pelican-sober/
12 changes: 6 additions & 6 deletions README.markdown
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Expand Up @@ -6,22 +6,22 @@ This is the source repository for the `pythonkc.github.io` GitHub Pages output r
---
Make sure you are in the top-level directory of the repoistory.
```shell
$ pelican content/
git clone git@github.com:fle/pelican-sober.git
pelican content/
```

## How to view the site locally
---
Make sure you are in the top-level directory of the repository.
```shell
$ cd output
$ python -m pelican.server
pushd output; python -m pelican.server; popd
```
Visit [`http://localhost:8000/`](http://localhost:8000/) in your browser.
Visit [http://localhost:8000/](http://localhost:8000/) in your browser.

## How to deploy to `https://pythonkc.github.io/`
Make sure you are in the top-level directory of the repository.
```shell
$ ghp-import output
$ git push https://github.com/pythonkc/pythonkc.github.io.git gh-pages:master --force
ghp-import output
git push git@github.com:pythonkc/pythonkc.github.io.git gh-pages:master --force
```
Visit [`https://pythonkc.github.io/`](https://pythonkc.github.io/) in your browser to verify the deployment.
51 changes: 51 additions & 0 deletions content/meeting-notes/2017/pykc_coffee_20170513.md
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Title: PythonKC May 2017 Coffee & Code
Date: 2017-05-13 00:00
Category: Meeting Notes
Tags: pythonkc, coffee & code
Summary: Meeting notes for May 2017 PythonKC Coffee & Code

```python
#!/usr/bin/env python3
# -*- coding: utf-8 -*-

from datetime import date
today = date(2017, 5, 13)

def greetings():
print("Welcome to PythonKC Coffee & Code.")
print("Today is {}".format(today.strftime("%A, %B %d, %Y")))
print("Thanks to the Johnson County Library system for hosting.")

if __name__ == '__main__':
greetings()
```

## PythonKC Coffee & Code

* [May 13th 2017](https://www.meetup.com/pythonkc/events/239247016/)
* [JoCo Library, Cedar Roe](https://www.jocolibrary.org/locations/cedarroe)

## Upcoming Events

* [June TechTalk : KCWiT X Python KC Joint Meetup](https://www.eventbrite.com/e/june-techtalk-kcwit-x-python-kc-joint-meetup-tickets-32515143670?aff=website)
* [Django Girls workshop](https://djangogirls.org/kansascity/)
* [International Association for Social Science Information Services & Technology (IASSIST) Annual Conference](https://kupce.ku.edu/iassist-conference)
* [DevOpsDays KC 2017 CFP](https://www.papercall.io/devopsdayskc)

## Python News and Resources

* [Py-backwards (Python to python compiler)](https://github.com/nvbn/py-backwards#py-backwards-)
* [Write Fast Apps Using Async Python 3.6 and Redis](https://eng.paxos.com/write-fast-apps-using-async-python-3.6-and-redis)
* [Asynchronous Programming in Python | Asyncio](http://djangostars.com/blog/asynchronous-programming-in-python-asyncio/)
* [Queues in Python](https://dbader.org/blog/queues-in-python#)
* [Generating Fake Data for Python Unit Tests with Faker](https://semaphoreci.com/community/tutorials/generating-fake-data-for-python-unit-tests-with-faker)
* [Same Stats, Different Graphs](https://www.autodeskresearch.com/publications/samestats)
* [ Beginner’s Guide to Neural Networks in Python](https://www.springboard.com/blog/beginners-guide-neural-network-in-python-scikit-learn-0-18/)
* [osh (Object Shell)](https://github.com/geophile/osh)
* [Statistical Data Analysis in Python (SciPy 2013)](https://github.com/fonnesbeck/statistical-analysis-python-tutorial)
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@smajda smajda May 13, 2017

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Can we add a section for links related to the command line stuff? Something like:

## Command Line Workshop Resources

* [Udacity Linux Command Line Basics](https://www.udacity.com/course/linux-command-line-basics--ud595) - A free course teaching the Linux command line.
* [Argparse Tutorial](https://docs.python.org/3.6/howto/argparse.html) - How to use Python's built-in `argparser` module to build command line applications.
* [Cloud9 IDE](https://c9.io/) - An easy, free way to get to a Linux command line if you don't have a Linux machine/VPS or feel like fighting with Virtual Machines.

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## Command Line Workshop Resources

* [Udacity Linux Command Line Basics](https://www.udacity.com/course/linux-command-line-basics--ud595) - A free course teaching the Linux command line.
* [Argparse Tutorial](https://docs.python.org/3.6/howto/argparse.html) - How to use Python's built-in `argparser` module to build command line applications.
* [Cloud9 IDE](https://c9.io/) - An easy, free way to get to a Linux command line if you don't have a Linux machine/VPS or feel like fighting with Virtual Machines.