What we're about

For information on the IndyPy Automate Conf, head to: https://2019.indypy.org/automate

If you'd like to help financially, please contact the organizers at info@indypy.org.

The Indianapolis Python Meetup (“IndyPy”) is a leading national group promoting the Python programming language and connecting the Python community.

IndyPy draws Python enthusiasts from the entire Midwest for regular events. In 2018, we celebrated
11 years of success with over 1,400 members.

We are learners, employers, and enthusiasts of all kinds. All skill levels are welcome: if you are interested in Python, we are interested in you!

We have great regular events:

Monthly Meetups:

7:00p: Meet, Eat and Greet

7:30p: PBJ™ (Python Beginners’ Jam)
Back to the Basics: 15 minute Python tutorials aimed at beginners.

7:50p: Right Brain™ Talk
Creative topics aimed at developing well rounded Pythonistas.

8:10p: ProTalk™
Advanced Python talks by field experts

Got something to say at a Meetup? Submit your talk here: https://www.papercall.io/indypy

Quarterly Mini Conferences:

Day-long conferences (9am-5pm) that feature 5-7 speakers on a specific subject related to Python. Some of the topics we have covered so far include:

- Machine Learning, AI, Genetic Programming

- Web Framework Shootout

- Automating Processes with Python

- Django for Beginners

- Data Science with Python

- Testing & Debugging

- Python for Beginners

How to connect when we are not face-to-face:

Use the mailing list - indypy-list@meetup.com

Keep up with everything IndyPy by following us on Twitter: @indypy

Watch videos of past the presentations on our YouTube page: http://bit.ly/indypyvids

Chat on our Slack channel - https://indypy-invite.herokuapp.com

If you'd like to help financially, please contact the organizers at info@indypy.org

Need more information?
Contact Calvin Hendryx-Parker
IndyPy Organizer
calvin@indypy.org
317-861-5948 x602

Upcoming events (5+)

IndyPy Bytes: Integration

The District Tap

Presentation: "Deeper Dive: Integrating Python with AWS" by: Josh Knox I'll take a deeper dive in showing you how to: -Use Python and Boto3 to create, use, and destroy environments. -Retrieve and Send data Python and S3 -Automate tasks with Lambda and SQS Agenda: 12:00p - 12:10p Introductions/Order Food 12:10p - 12:40p Presentation by Josh Knox, The Kinney Group 12:40p - 12:50p Q&A 12:50p - 1:00p Networking/Pay your Bill

IndyPy: Python Madness

Location visible to members

Agenda: 7:00p - 7:15p Announcements and introductions 7:15p - 7:30p PBJ Session 7:30p - 7:45p Right Brain Talk 7:45p - 8:00p Door Prizes 8:00p - 8:45p Pro Talk

IndyPy Conf: Automate

Launch Fishers

>>>>>REGISTER on Tito at http://bit.ly/IndyPyConf <<<<< IndyPy Conf kicks off the 2019 conference series with a full day of talks on Automation, Orchestration and IoT using Python. For more information and to purchase tickets, head to: https://2019.indypy.org/automate The day will feature 8 main presentations on: - Automating Jira Workflows - IoT Device Management and Deployment - Python for Microcontrollers - Using PySpark with Databricks Structured Streaming - Automating Your Data Clean Up - Mobile API with Python and Lambda for Serverless - Practicing Safe Selects: Avoiding the Shame & Embarrassment of Sleazy - Forecast Model Choice in a Machine Learning World Registration is now open. Early bird pricing is $85/person until Feb. 28th. On March 1st, General Admission increases to $125/person. Student pricing is also available for $65/person with valid student ID. Details: March 22, 2019 - 8am - 5pm Launch Fishers in Fishers, IN Join us for this focused day of Python, meet fellow Pythonistas, and advance your knowledge on automating with Python. Sign up today here: http://bit.ly/IndyPyConf

IndyPy Bytes: Data Science with Python: Time-series forecasting

Presentation: "Data Science with Python: Time-series forecasting" by: Martin John Madsen, Ph.D. I will walk through a Python data science project including: 1. Extracting data from a public API 2. Exploring the data in a Jupyter notebook 3. Building an ARIMA time-series forecast model for the data 4. Evaluating the model Agenda: 12:00p - 12:10p Introductions/Order Food 12:10p - 12:40p Presentation by Martin Madsen, Allegion 12:40p - 12:50p Q&A 12:50p - 1:00p Networking/Pay your Bill

Past events (151)

IndyPy: Share the (Python) Love

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Photos (450)