talk-data.com

Join PyData NYC at NYC Resistor (Brooklyn) on Aug 28th at 7:00 pm for a Project Night. Work with and Learn from fellow Python, Data, and Open Source enthusiasts. NYC Resistor is also a hackerspace filled with all sorts of tools available for the public, such as a laser cutter, 3D printers, sewing machines, soldering stations, knitting needles and more! So feel free to explore the hackerspace as well. Space is limited, so kindly RSVP on time and cancel if you won't be able to make it. Hosted by Mars Lee (Numpy Contributor)

Agenda: BYOP - Bring Your Own Project - and work alongside fellow Python and data professionals and enthusiasts.

Networking Connect with fellow Python and data enthusiasts, professionals, and community leaders. Build meaningful connections and forge collaborations. ---------------------------------------------------------------- Venue provided by Resistor: 87 3rd Ave, Brooklyn, NY ---------------------------------------------------------------- This and all PyData NYC events are all-level events. Newcomers and beginners are welcome. This and all NumFOCUS-affiliated events and spaces, both in-person and online, are governed by a Code of Conduct. ---------------------------------------------------------------- This event may be recorded. You can bring your own food and drink. Drinks such as canned soda are available to purchase. Water is freely available.

BYOP session: bring your own project and work with fellow Python and data professionals and enthusiasts.

Join PyData NYC at NYC Resistor (Brooklyn) on May 29th at 7:00 pm for a Project Night. Work with and Learn from fellow Python, Data, and Open Source enthusiasts. Space is limited, so kindly RSVP on time and cancel if you won't be able to make it. Hosted by Mars Lee (Numpy Contributor)

Agenda: BYOP - Bring Your Own Project - and work alongside fellow Python and data professionals and enthusiasts.

Networking Connect with fellow Python and data enthusiasts, professionals, and community leaders. Build meaningful connections and forge collaborations. ---------------------------------------------------------------- Venue provided by Resistor: 87 3rd Ave, Brooklyn, NY ---------------------------------------------------------------- This and all PyData NYC events are all-level events. Newcomers and beginners are welcome. This and all NumFOCUS-affiliated events and spaces, both in-person and online, are governed by a Code of Conduct. ---------------------------------------------------------------- This event may be recorded. You can bring your own food and drink. Drinks such as canned soda are available to purchase. Water is freely available.

Join PyData NYC at 11 Times Square (Microsoft) on March 12th at 6:30 pm for a Project Night with PyData.

Agenda: BYOP - Bring Your Own Project - and work alongside fellow python and data professionals and enthusiasts.

Networking Connect with fellow data enthusiasts, professionals, and community leaders. Build meaningful connections and forge collaborations. ---------------------------------------------------------------- Doors open @ 6 pm Doors close @ 7 pm Event @ 6:30 - 8:30 pm Venue provided by MSFT: 11 Times Square ---------------------------------------------------------------- The building requires a government-issued photo ID for entrance. This, and all PyData NYC events, is an all-level event. Newcomers and beginners are welcome. This and all NumFOCUS-affiliated events and spaces, both in-person and online, are governed by a Code of Conduct. ---------------------------------------------------------------- This event may be recorded.nd There is no refreshments available for this event.

Details

NYC Python will be joining PyData NYC at 11 Times Square (Microsoft) on March 12th at 6:30 pm for a Project Night with PyData. Agenda: BYOP - Bring Your Own Project - and work alongside fellow python and data professionals and enthusiasts. Networking Connect with fellow data enthusiasts, professionals, and community leaders. Build meaningful connections and forge collaborations.

⚠️Please RSVP with PyData NYC here: https://www.meetup.com/pydatanyc/events/306576605/ ---------------------------------------------------------------- Doors open @ 6 pm Doors close @ 7 pm Event @ 6:30 pm - 8:30 pm Venue provided by MSFT: 11 Times Square ---------------------------------------------------------------- The building requires a government-issued photo ID for entrance. This, and all PyData NYC events, is an all-level event. Newcomers and beginners are welcome. This and all NumFOCUS-affiliated events and spaces, both in-person and online, are governed by a Code of Conduct. ---------------------------------------------------------------- Refreshments will not be provided for this event.

PyDataMCR & RLadies Manchester are teaming up for a jointly hosted code night.

Have a data project or some coursework?

Want to get to know your peers?

Come to Code Night! A night to work on your own project, with supportive peers available for advice. Ask for tips from others more experienced than yourself, or teach somebody else something great!

WHAT YOU WILL NEED

A laptop

A project (optional!, feel free to join us for a chat or to provide others with advice).

HOW IT WILL WORK

Event Starts (18:30) - Come down and join us at the Bonded Warehouse for some food and drinks. You'll have an opportunity to share any problems you're working on with other attendees.

During Event - Put any questions or conversation topics you want to discuss to the PyData community, its likely someone will be interested and have an opinion!

Event Closes (20:00) - After the event we'll all head somewhere local for some post-event socialising.

EVENT GUIDELINES

PyDataMCR is a strictly professional event, as such professional behaviour is expected.

PyDataMCR is a chapter of PyData, an educational program of NumFOCUS and thus abides by the NumFOCUS Code of Conduct

https://pydata.org/code-of-conduct.html

Please take a moment to familiarise yourself with its contents.

ACCESSIBILITY

The venue is wheelchair accessible, though please let us know in advance if this is needed.

If you have any dietary requirements please supply them when signing up to the event and we can make sure you feel welcome too!

Under 16s are welcome with a responsible guardian.

SPONSORS

Thank you to NUMFocus for supporting PyData and the wider open source ecosystem.

Thank you to Bonded Warehouse for generously hosting us in their offices.

HOW DO I GET STARTED?

Don't have python or R?

Download Anaconda (https://anaconda.org/) OR Use Google Colab (https://colab.research.google.com/) OR Download R & RStudio (https://posit.co/download/rstudio-desktop/)

Don't have a project?

You can always help others in the Slack Channel or in person.

PyDataMCR & RLadies Manchester are teaming up for a jointly hosted code night.

Have a data project or some coursework?

Want to get to know your peers?

Come to Code Night! A night to work on your own project, with supportive peers available for advice. Ask for tips from others more experienced than yourself, or teach somebody else something great!

WHAT YOU WILL NEED

A laptop

A project (optional!, feel free to join us for a chat or to provide others with advice).

HOW IT WILL WORK

Event Starts (18:30) - Come down and join us at the Slalom office for some food and drinks. You'll have an opportunity to share any problems you're working on with other attendees.

During Event - Put any questions or conversation topics you want to discuss to the PyData community, its likely someone will be interested and have an opinion!

Event Closes (20:00) - After the event we'll all head somewhere local for some post-event socialising.

EVENT GUIDELINES

PyDataMCR is a strictly professional event, as such professional behaviour is expected.

PyDataMCR is a chapter of PyData, an educational program of NumFOCUS and thus abides by the NumFOCUS Code of Conduct

https://pydata.org/code-of-conduct.html

Please take a moment to familiarise yourself with its contents.

ACCESSIBILITY

The venue is wheelchair accessible, though please let us know in advance if this is needed.

Drinks will kindly be provided by Slalom, if you have any dietary requirements please supply them when signing up to the event and we can make sure you feel welcome too!

Under 16s welcome with a responsible guardian.

SPONSORS

Thank you to NUMFocus for sponsoring Meetup and further support.

Thank you to Slalom for generously hosting us in their offices.

HOW DO I GET STARTED?

Don't have python or R?

Download Anaconda (https://anaconda.org/) OR Use Google Colab (https://colab.research.google.com/) OR Download R & RStudio (https://posit.co/download/rstudio-desktop/)

Don't have a project?

You can always help others in the Slack Channel or in person.

Venue: Carnival House, 100 Harbour Parade, Southampton, SO15 1ST

Please note:

1. 🚨🚨🚨A valid photo ID is required by building security. You MUST use your full real names on your meetup profile, otherwise, you will NOT make it on the guest list! 🚨🚨🚨
2. This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event.

If your RSVP status says "You're going" you will be able to get in. No further confirmation required. You will NOT need to show your RSVP confirmation when signing in. If you can no longer make it, please unRSVP as soon as you know so we can assign your place to someone on the waiting list.

*** Code of Conduct: This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct. *** There will be pizza & drinks, generously provided by our host, Carnival UK. ***

Main Talks 1️⃣ An Introduction to geospatial data & processing - Robin Wilson In this talk, Robin will introduce geospatial data and how to process it using Python. He'll explain what geospatial data is, and what makes it different from normal data. He'll cover the types of geospatial data, issues relating to co-ordinate systems, and where to get geospatial data, before diving into a couple of case studies of geospatial data processing with Python using libraries including GeoPandas, rasterio, shapely, rasterstats, folium and more.

2️⃣ MoleGazer: Where astronomy meets dermatology - Chris Frohmaier Astronomers routinely scan the night sky with the ambition of discovering exploding stars in distant galaxies. Many of the techniques can be summarised simply by 'blob detection and evolution'. Dermatologists are also interested in blobs, but on a very different scale and with potentially serious health outcomes. Incidence of melanoma (skin cancer) is rapidly increasing in the UK and worldwide, with early detection and treatment crucial in improving patient outcomes. Molegazer is a project led by astronomers at the University of Southampton and dermatologists at Oxford University Hospital Trust. We apply principles from astronomical surveys to work towards our goal of routinely mapping the evolution of naevi on high-risk patients. This presentation will showcase the Molegazer project, and will discuss some of the techniques we use in the python ecosystem, drawing on OpenCV, scikit-learn, keras, and more.

Lightning Talks ⚡ ⚡1️⃣ TBA ⚡2️⃣ TBA

Logistics Doors open at 6.30 pm, talks start at 7 pm. For those who wish to continue networking and chatting we will move to a nearby pub/bar for drinks from 9 pm.

Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members!

Follow @pydatasoton (https://twitter.com/pydatasoton) for updates and early announcements.