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 (2)

Introduction to Front-end Development with React [Data Umbrella co-promotion]

Link visible for attendees

Note:
This event is organized by Data Umbrella.

Link to join the webinar here:
https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar
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Video Recording
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This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YouTube and set your notifications:
https://www.youtube.com/c/DataUmbrella/
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Time
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9am PT / 12pm ET / 7pm EAT / 9:30 PM IST

## Speaker

Joe Torreggiani

## Talk Level

Beginner

## Pre-reqs

None

## Prep Work

None

## Resources

To be provided.

## Event

This talk will introduce attendees to React, a free and open source JavaScript-based library that encourages declarative component-based development of user interfaces (UI). We will start with covering the basic concepts of front-end web development with HTML, CSS, and JavaScript before learning how to leverage React to simplify creation of interactive web UIs. This talk will conclude with a recap of what we've learned together and recommendations for continuing to learn about front-end web development and React.

## Speaker

Joe Torreggiani is a technologist, educator, and advocate for environmental and social justice. He has over a decade of experience as a software engineer and leader working at impact-focused organizations across multiple industries including education, agriculture, and finance. Joe holds a Bachelor of Arts in History from The College of Saint Rose in Albany, New York and is a graduate from General Assembly's web development bootcamp program. Joe is a senior software engineer at Square, which makes technology that helpers sellers more easily run and grow their businesses with its integrated ecosystem of commerce, staff, customer, and banking solution. Joe is also a co-founder of Sustainable Progress and Equality Collective (SPEC), an open learning organization with a mission empower individuals to become globally-minded change agents by helping them learn the essential skills required to build sustainable careers and make a positive impact in their communities. In addition to his work in software development and non-profit management, Joe serves as a board member for Open Food Network USA and co-chair of Block's Bay Area Neurodiversity community. He lives with his partner Veronica and their dog Molly in San Francisco California. In his free time, Joe likes to read, travel, hike, kayak, practice martial arts, and skateboard.

LinkedIn: https://www.linkedin.com/in/joetorreggiani
Twitter: https://twitter.com/JoeTorreggiani
GitHub: https://github.com/jtorreggiani

## CONNECTING WITH US

We invite you to follow us on our social networking sites to keep up to date on the latest news we will be sharing.

  • MEETUP: https://www.meetup.com/data-umbrella/
  • JOB BOARD: https://jobs.dataumbrella.org/
  • NEWSLETTER: https://dataumbrella.substack.com/
  • TWITTER: https://twitter.com/DataUmbrella
  • YouTUBE: https://www.youtube.com/c/dataumbrella
  • LinkedIn: www.linkedin.com/company/dataumbrella/
  • Instagram: https://www.instagram.com/data.umbrella/

Software Engineering for Probabilistic Programming [Data Umbrella co-promotion]

Link visible for attendees

Note:
This event is organized by Data Umbrella.

Link to join the webinar here:
https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar
--------------------------------
Video Recording
--------------------------------
This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YouTube and set your notifications:
https://www.youtube.com/c/DataUmbrella/
--------------------------------
Time
--------------------------------
9am PT / 12pm ET / 7pm EAT / 9:30 PM IST

## Speaker

Mitzi Morris

## Talk Level

Intermediate

## Pre-reqs

None required.
You can look at:

  1. Intro to statistical modeling: https://github.com/rmcelreath/stat_rethinking_2022
  2. Intro Stan case study: https://mc-stan.org/users/documentation/case-studies/pool-binary-trials.html

## Prep Work

Experience with datasets as data frames in Python or R and using regression models or ML techniques for either analysis or prediction.

## Resources

Stan User's Guide: https://mc-stan.org/docs/stan-users-guide/index.html,
CmdStanPy docs: https://mc-stan.org/cmdstanpy/,

## Event

Our goal is to provide a wholistic introduction to Bayesian modeling for data scientists as well as to demonstrate best practices for Bayesian data analysis and prediction. We use the Stan probabilistic programming language and inference engines to do inference, and the plotnine package for visualization. Applied statistical modeling starts with the question we are trying to answer and the available data. We must understand both the data and the analysis goals before proceeding to model building. We use the Stan probabilistic programming language and inference engine to build and fit our models, via modern Python interface CmdStanPy, and we use the Python package plotnine for visualization.

## Speaker

Mitzi Morris is a member of the Stan development team. As a software engineer, she has contributed to the core Stan C++ infrastructure and authored CmdStanPy . As a Bayesian data analyst, she has helped epidemiologists use Bayesian method for disease mapping. Her background is software engineering and natural language processing, with a detour through genomics and bioinformatics.

GitHub: https://github.com/mitzimorris

## CONNECTING WITH US

We invite you to follow us on our social networking sites to keep up to date on the latest news we will be sharing.

  • MEETUP: https://www.meetup.com/data-umbrella/
  • JOB BOARD: https://jobs.dataumbrella.org/
  • NEWSLETTER: https://dataumbrella.substack.com/
  • TWITTER: https://twitter.com/DataUmbrella
  • YouTUBE: https://www.youtube.com/c/dataumbrella
  • LinkedIn: www.linkedin.com/company/dataumbrella/
  • Instagram: https://www.instagram.com/data.umbrella/

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