What we're about

A group for Python ladies and non-binary people of all levels of programming experience, in the NYC metro area. **Trans women welcome.**

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Pyladies (http://pyladies.com/) is an international mentorship group with a focus on helping more women become active participants and leaders in the Python open-source community. Our mission is to promote, educate and advance a diverse Python community through outreach, education, conferences, events and social gatherings.

PyLadies also aims to provide a friendly support network for women and a bridge to the larger Python world.

Code of Conduct (http://www.pyladies.com/CodeOfConduct/)

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Please note that the goal of PyLadies is to provide a welcoming space for women and gender minorities interested in Python so more URGs (under-represented groups) are participating in the greater Python community. It should *not* be perceived as a group for romantic pursuits.

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Job postings, discussions & community events can be shared here (opt-in for emails): https://www.meetup.com/NYC-PyLadies/messages/boards/

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Slack: https://slackin.pyladies.com/
Twitter: https://twitter.com/nycpyladies
GitHub: https://github.com/NYC-pyladies (https://github.com/NYCpyladies)
Website: http://nyc.pyladies.com/

Upcoming events (1)

[Live Webinar] Intro to Data Analysis with Pandas and Jupyter Notebook

## Register for webinar here:
https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar

## Time
9am PDT / 12pm EDT / 7pm EAT / 9:30 PM IST

## Talk Level
Beginner

## Pre-reqs
Basic knowledge of Python syntax is required to understand the code examples

## Prep Work
None, as this will just be a demo, not a hands-on workshop.

## Resources
https://github.com/spbail/pandas-and-jupyter-workshop

## Event
This talk is aimed at Python users with no prior knowledge of Pandas. In this talk, we will explore a small dataset and introduce you to the basics of data analysis workflows using the Pandas library and Jupyter notebook. We will show how to to load data from a CSV file, do some basic exploratory data analysis and data cleaning, generate simple statistics, and create some basic data visualizations.

## Speaker
Sam Bail (http://www.sambail.com) is a data professional in New York City with a passion for turning high quality data into valuable insights. Sam holds a PhD in Computer Science and has worked for several data-centric startups.

Linkedin: https://www.linkedin.com/in/spbail
Twitter:https://twitter.com/spbail
GitHub: https://github.com/spbail

Past events (192)

[Live Webinar] Excel for Data Analysts Demo

Online event

Photos (198)