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Episode 11 - A Year in Review

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Contenuto fornito da Joseph Allen. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Joseph Allen o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

This month we thought we would take a break from our usual episode format and have ourselves as the guests. Listen to us reflect on our year volunteering with PyDataMCR. We talk about what we did this year, including Google Next! We also talk a little about learning to rank. We realise this is an insider view, so this months meetup will be an open retro so have a think about what you want from next year.

Request: If you know about recording events for YouTube, and can help us out, feel free to dm us (see our social channels below).

Sponsors

LadBible - ladbible.com/

Cathcart Associates - cathcartassociates.com/

Horsefly Analytics - horseflyanalytics.com/

Our Collaborators:

HER+data - meetup.com/HER-Data-MCR/

Pyladies - twitter.com/pyladiesnwuk

Django Girls - djangogirls.org/

Python NW - meetup.com/Python-North-West-Meetup/

Open Data Manchester - opendatamanchester.org.uk/

Lambda Lounge - http://lambdalounge.org.uk/

What we’ve done this year…

hacktoberfest - hacktoberfest.digitalocean.com

blog posts - tinyurl.com/tnkzafr
tinyurl.com/urn8twp
tinyurl.com/too86wj

Learning to rank resources

Matt Crooks Medium: Louvain clustering - medium.com/@DrMattCrooks

Google NEXT

Google NEXT - cloud.withgoogle.com/next/uk/

Cloud Build - cloud.google.com/cloud-build/

Cloud Run - cloud.google.com/run/

Trifactor - trifacta.com

Cloud Dataprep by Trifactor - cloud.google.com/run/

Tool Great Expectations - github.com/great-expectations/great_expectations

Social

Meetup - meetup.com/PyData-Manchester/

Slack - http://bit.ly/35KGOgR

Twitter - @PyDataMCR

  continue reading

19 episodi

Artwork

Episode 11 - A Year in Review

PyDataMCR

0-10 subscribers

published

iconCondividi
 
Manage episode 251595929 series 2476678
Contenuto fornito da Joseph Allen. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Joseph Allen o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

This month we thought we would take a break from our usual episode format and have ourselves as the guests. Listen to us reflect on our year volunteering with PyDataMCR. We talk about what we did this year, including Google Next! We also talk a little about learning to rank. We realise this is an insider view, so this months meetup will be an open retro so have a think about what you want from next year.

Request: If you know about recording events for YouTube, and can help us out, feel free to dm us (see our social channels below).

Sponsors

LadBible - ladbible.com/

Cathcart Associates - cathcartassociates.com/

Horsefly Analytics - horseflyanalytics.com/

Our Collaborators:

HER+data - meetup.com/HER-Data-MCR/

Pyladies - twitter.com/pyladiesnwuk

Django Girls - djangogirls.org/

Python NW - meetup.com/Python-North-West-Meetup/

Open Data Manchester - opendatamanchester.org.uk/

Lambda Lounge - http://lambdalounge.org.uk/

What we’ve done this year…

hacktoberfest - hacktoberfest.digitalocean.com

blog posts - tinyurl.com/tnkzafr
tinyurl.com/urn8twp
tinyurl.com/too86wj

Learning to rank resources

Matt Crooks Medium: Louvain clustering - medium.com/@DrMattCrooks

Google NEXT

Google NEXT - cloud.withgoogle.com/next/uk/

Cloud Build - cloud.google.com/cloud-build/

Cloud Run - cloud.google.com/run/

Trifactor - trifacta.com

Cloud Dataprep by Trifactor - cloud.google.com/run/

Tool Great Expectations - github.com/great-expectations/great_expectations

Social

Meetup - meetup.com/PyData-Manchester/

Slack - http://bit.ly/35KGOgR

Twitter - @PyDataMCR

  continue reading

19 episodi

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