PyDSLA on DataScience.LA

PyDSLA: PyMC3 and jobs.py

Thu, 19 Jan 2017 21:15:07 -0800

Update: Video recording of the meet up here:

This video is no longer available on YouTube (original link).

Come to the PyDSLA January Meetup to hear talks about PyMC3 and jobs.py!

For this event we are incredibly fortunate to have two incredibly speakers give really interesting talks.

PyDSLA: Talks from the LA Data Science Community

Fri, 14 Oct 2016 15:29:39 -0700

DATE AND TIME

Wed, November 2, 2016
6:30 PM – 9:30 PM PDT
Come to the PyDSLA November Meetup to hear talks from the community!

In the last month, the organizers of the PyDSLA Meetup sent out a call for speakers, and the community answered with a number of great members coming forward willing and able to talk about some of the cool ways they are using the Python Data Science ecosystem to do cool stuff.

PyDSLA: The Nitty Gritty of Advanced Analytics Using Apache Spark in Python

Mon, 18 Apr 2016 12:57:06 -0700

Video Available Now:

▶ PyDSLA The Nitty Gritty of Advanced Analytics Using Apache Spark in Python May 5, 2016

Talk by Miklos Christine, solutions engineer at Databricks

PyDSLA: Erin LeDell, Presents Intro to Machine Learning with H2O and Python

Tue, 05 Jan 2016 09:30:53 -0800

Join PyDSLA for a talk by Erin LeDell Intro to Machine Learning with H2O and Python

Get your tickets HERE

Summary:

This workshop will provide an overview of how to use H2O, the scalable open source machine learning library, from Python. The core algorithms of H2O are implemented in Java, however, fully-featured APIs are available in R, Python, Scala, and also through a web interface. The focus of this hands-on workshop will be the “h2o” Python module.

PyDSLA Video: Carlos Guestrin, CEO of DATO

Thu, 18 Jun 2015 15:53:26 -0700

On May 14th at the Venice Arts Center, the Los Angeles Python and Data Science communities were fortunate to hear a talk from world-renowned expert and CEO of Dato, Carlos Guestrin. Often times when you have a meetup where a presenter is tightly identified with a company, the concern is that the presentation will fundamentally become a product pitch. We had nothing to be worried about in this case - Carlos presented for nearly an hour on a wide range of subjects from how the Machine Learning pipeline has changed over time to Deep Learning!

PyDSLA: Dato CEO, Carlos Guestrin, Presents Dato

Tue, 05 May 2015 08:40:40 -0700

*** EVENTBRITE LINK HERE ***

PyDSLA - Dato: A Platform for Practical, Large-Scale Machine Learning

Join PyDSLA for a talk by Carlos Guestrin about Presents Practical, Large-Scale Machine Learning in python.

Summary:

Data Science is perhaps the hottest profession on the market today. Folks with backgrounds ranging from Statistics and Physics to Engineering and Computer Science are eager and excited to transition to this field. However, designing and deploying data analysis and machine learning apps at scale is a significant challenge to overcome: For some folks, machine learning algorithms and methods can be obscure, too mathy, and disconnected from practice. For others, writing and deploying scalable software requires significant effort, which distracts them from focusing on their deep analytic efforts.

PyDSLA - Blaze: Connecting analysts to big computation

Sat, 07 Feb 2015 15:35:01 -0800

Join PyDSLA for a talk by Matthew Rocklin about the high level APIs being developed for Python for expressive data manipulation and analysis.

Summary:

Pandas and NumPy serve us well. They give interactive high-level access to efficient low-level code. As datasets grow larger than memory this low-level code becomes obsolete but the high-level interface remains valuable. Blaze connects that high-level interface to a number of other computational systems like SQL, Mongo, or Spark, extending the scope of interactive analysis. In this talk we go over common use cases and Blaze as well as a bit of its internal design.

Python Data Science Meetup Summary: Data Science with Python

Mon, 10 Nov 2014 10:02:46 -0800

Last week, the Python Data Science LA meetup debuted with a fabulous event. It was already much anticipated, with more than 250 people showing interest (RSVP+waiting list), and a lucky 100 converged upon the hip Venice Arts venue to hear our speakers. Our sponsor OpenMail has also done a fantastic job in getting us this venue, bringing food+drinks and taking care of all the details. Thanks OpenMail Team!

Python Data Science Meetup: Data Science with Python

Wed, 08 Oct 2014 09:37:41 -0700

I’m pleased to announce the first event of our new Python Data Science LA meetup, started by two of us here at DataScience.LA (our very own Szilard and Eduardo).

We’ll have 5 speakers at this event, covering various aspects of the Python Data Science ecosystem (NumPy, SciPy, pandas, matplotlib, scikit-learn, NetworkX, NLTK, IPython notebook, etc.)

Announcing the New Python Data Science LA Meetup Group

Fri, 29 Aug 2014 09:01:19 -0700

I am excited to announce that we are starting a new meetup group - Python Data Science LA - to serve the needs of the LA data science community using Python!

At an earlier Data Science/Machine Learning meetup we conducted an informal survey on tools for Data Science which showed that a large majority of data scientists use R or Python, with R taking a slight lead. (I know, those attending the meetups bias the results towards open source tools.)