From dougal at dougalmatthews.com Mon May 9 05:59:43 2016 From: dougal at dougalmatthews.com (Dougal Matthews) Date: Mon, 9 May 2016 10:59:43 +0100 Subject: [Python Glasgow] Pub Meetup in The Raven Tomorrow Message-ID: Hi all, After a brief hiatus last month we are meeting tomorrow in the Raven from about 6pm. As usual, look for a Python sign on one of the tables. Next month I am working on organising talks again, so look out for announcements soon! Sorry for the late announcement this month, if you are interested in helping make the group run more smoothly or run different events, let me know. Volunteers more than welcome! Cheers, Dougal From dougal at dougalmatthews.com Tue May 10 11:58:48 2016 From: dougal at dougalmatthews.com (Dougal Matthews) Date: Tue, 10 May 2016 16:58:48 +0100 Subject: [Python Glasgow] Pub Meetup in The Raven Tomorrow In-Reply-To: References: Message-ID: Sorry all, last minute change of plan! Since the raven is somewhat dark and it is glorious outside we are going to go to Drygate, with any luck we can get some sun and beer! Please reach out if you are planning to come along so we can make sure we meet up. Sorry for the ad-hoc changes! Dougal On 9 May 2016 at 10:59, Dougal Matthews wrote: > Hi all, > > After a brief hiatus last month we are meeting tomorrow in the Raven > from about 6pm. As usual, look for a Python sign on one of the tables. > > Next month I am working on organising talks again, so look out for > announcements soon! > > Sorry for the late announcement this month, if you are interested in > helping make the group run more smoothly or run different events, let > me know. Volunteers more than welcome! > > Cheers, > Dougal From dougal at dougalmatthews.com Tue May 17 06:44:33 2016 From: dougal at dougalmatthews.com (Dougal Matthews) Date: Tue, 17 May 2016 11:44:33 +0100 Subject: [Python Glasgow] Talks on June 14th Message-ID: Hey all, I am excited to announce that we are hosting another night of talks at Skyscanner. All the details are on Eventbrite, so to avoid duplication, head over there any take a look (and get a ticket!): https://python-glasgow-talks-june-2016.eventbrite.co.uk/ The speakers will be announced soon, I'll send another email update as I am able to do that. Cheers, Dougal From dougal at dougalmatthews.com Wed May 18 04:43:14 2016 From: dougal at dougalmatthews.com (Dougal Matthews) Date: Wed, 18 May 2016 09:43:14 +0100 Subject: [Python Glasgow] Talks and Speakers for the 14th Message-ID: Hi all, I have now confirmed the speakers and talks for next month. You can grab tickets here: https://python-glasgow-talks-june-2016.eventbrite.co.uk/ Talk 1: Iteration, Iteration, Iteration by John Sutherland There should be something for everyone in this whistle?stop tour of iteration in Python setting off from for?loops, and riding cross?country to multiplexing coroutines! See and hear the amazing sights and sounds of list comprehensions, and generators. Take in the amazing vistas from itertools, and be amazed at the magnificent yield! We?ll take detours to higher?order functions, closures, and decorators. And cover the FP inspired builtins map, filter, and reduce, as well as the epitome of Pythonic programming, enumerate. Talk 2: A tour of Python for Machine Learning by Martina Pugliese Machine Learning is living a golden moment these days in terms of the problems it is helping people to solve by either recognising hidden patterns in data or automatising tasks which would be expensive to perform manually. The number of available tools and libraries for analysing and creating software with data is increasing at a fast rate due to the explosion of this field and more and more industries are starting to extract knowledge out of their datasets. This talk will propose a path through the Python toolkit for data processing and Machine Learning, from the scientific data manipulation libraries Numpy/Pandas/Scipy to the collection of algorithms and validation techniques in Scikit?learn, without forgetting data visualisation with Matplotlib/Seaborn/Bokeh. The whole journey will be conducted via examples for every bit, the purpose being showing the capabilities and potential of the software and its ease of use. Everything will be interactively displayed in Jupyter notebooks. Python is a particularly friendly language for Data Science as it allows the user to concentrate on implementing and validating the data models rather than spending time on the code. The API?s are standardised in a way that everything is consistent across the libraries and they can communicate easily so the data scientist can quickly get a model up and running by crunching the data, testing hypotheses, performing statistical analyses. Finally, the talk will demonstrate how to scale ML in a distributed fashion by using PySpark, the Python wrappers for Spark. They should be great! Ticket's are moving fast, so grab one soon if you want to come along. Cheers, Dougal