1. Battle of the Data Visualization Libraries

    Wed, Jul 24, 2019 6:30 PM
    734 W Polk St

    See past meeting details!

    There are so many options when it comes to visualizing your data in Python that it makes very little sense for one person to attempt to learn all of the different libraries available. For this meetup, we'd like to assemble teams to represent what each of these libraries (and others) have to offer by completing a series of plotting tasks (located here: https://github.com/tjslezak/battle-of-the-plotting-libraries).

    Each team will use the same datasets (procured specifically for this meeting) to complete a series of data visualization tasks and then present their results and code to the group. Whether you are a seasoned data visualization expert or just someone looking for a reason to learn a new visualization library, we’d love to hear and learn something new from you – sign up to join a team using this link (https://docs.google.com/spreadsheets/d/1TbjDNq8KK3dQDm7o95AhISovZiuvl7_9zOhDzkaifHU/edit?usp=sharing).

    Feel free to add in any library you’d like to represent that is not listed.

    Please note the change in location for this meeting. Thanks to Cubic/TeraLogics for hosting. They're hiring. Talk to John if you're interested in learning about what they do.

  2. Python Show & Tell

    Wed, Jun 26, 2019 6:00 PM
    5801 N Pima Rd

    See past meeting details!

    Featured Photo

    Main Meeting Topic: Python Show & Tell.

    6-6:30 - Mingling - Food provided by McKesson
    6:50 - Intro/Announcements
    7:00 - Talks
    8:20 - Depart for Social Gathering at Tap House Kitchen, address below

    What:

    Come prepared with a brief (5-30 min) presentation on any Python related topic. I (Austin) will have something, but I'd love to see a hand full of others with something to share. The topic can be anything Python related, a project you're working on, a new module you've learned about, or even some code you've read and found interesting. Intro and advanced material are all welcome.

    If you haven't presented before but have been wanting to, now is a great time to dip your toes in!

    Who:

    All of us!

    Where:

    McKesson in Scottsdale (The North-most of three buildings, 5801). When you enter security will have the RSVP list, have you sign in on the iPads, and direct you down the hall to the meetup room.

    Social Gathering:
    Come socialize with us after the meeting at TapHouse Kitchen right after the meeting, around 8:30 or 8:45 PM at:

    TapHouse Kitchen
    6137 North Scottsdale Road #108
    Scottsdale, AZ 85250

  3. Python Basics - Standard Library

    Wed, May 22, 2019 6:30 PM
    McKesson

    See past meeting details!

    Featured Photo

    Main Meeting Topic: Python Basics - Standard Library.

    6:30 - Mingling - Food provided by McKesson
    6:50 - Intro/Announcements
    7:00 - Talks
    8:20 - Depart for Social Gathering at Tap House Kitchen, address below

    What:
    Elliot Garbus and David Wrench will be presenting on NamedTuples, Configparser, webbrowser, Pathlib, string formatting and Data Classes.

    Who:
    Elliot is an advisor on strategy, management and marketing for technology companies. He is a Python hobbyist and tinkerer. Elliot retired from Intel after 30 years with the company. At Intel, Elliot was the Vice President & General Manager responsible for Intel’s activity in automotive, including work in fully autonomous vehicles. He holds 15 patents related to microprocessor and system design.

    David is a Data Scientist at McKesson, he works in Python and the Cloud. He enjoys talking Python, technologies and helping make the future of healthcare patient-centric.

    Where:
    McKesson in Scottsdale (The middle of three buildings, Bldg. #2). When you enter security will have the RSVP list, have you sign in on the iPads, and direct you down the hall to the meetup room.

    Social Gathering:
    Come socialize with us after the meeting at TapHouse Kitchen right after the meeting, around 8:30 or 8:45 PM at:

    TapHouse Kitchen
    6137 North Scottsdale Road #108
    Scottsdale, AZ 85250

  4. Achieving High-Performance Computing with the Intel Distribution for Python

    Wed, Apr 24, 2019 6:30 PM
    Galvanize

    See past meeting details!

    Main Meeting Topic: Achieving High-Performance Computing with the Intel® Distribution for Python

    6:30 - Mingling - Pizza sponsored by HiringSolved
    6:40 - Intro/Announcements
    6:50 - Talk - Achieving High-Performance Computing with the Intel® Distribution for Python
    8:20 - Depart for Social Gathering at Cornish Pasty Company, address below

    Abstract:

    Achieving High-Performance Computing with the Intel® Distribution for Python* – Python has had a reputation for being “slow” or “not performant” for many years, but a new set of technologies and methods have changed that perception to show that Python can be both high-productivity and high-performance at the same time. Learn more about the work Intel is doing to accelerate workloads in the space, and the methods that are used speed up popular packages such as NumPy, SciPy, and Scikit-learn.

    Learn more at:
    https://software.intel.com/en-us/distribution-for-python

    Our Speaker:

    David Liu is a Technical Consultant Engineer at Intel Corporation in Austin, Texas, where he represents Intel's Python products and projects. He is focused on solving customer problems in Python while simultaneously developing and shaping Intel's software products to match customer needs. In the past, he worked as a software engineer utilizing Python in machine learning, network infrastructure, and web work.
    David holds an MS in Software Engineering from the University of Texas at Austin.

    Where:

    Galvanize
    515 E Grant St
    Phoenix, AZ 85004

    Social Gathering:

    Come socialize with us after the meeting at Cornish Pasty Company right after the meeting, around 8:30 or 8:45 PM at:

    Cornish Pasty Company
    7 W Monroe St,
    Phoenix, AZ 85003

  5. March DesertPy Talks - Calling Native C code and Using Kafka

    Wed, Mar 27, 2019 6:30 PM
    McKesson

    See past meeting details!

    Featured Photo

    Main Meeting Topic: Calling Native C code and using Kafka

    6:30 - Mingling - Pizza provided by McKesson
    6:40 - Intro/Announcements
    6:50 - Talks
    Calling C from Python - Dave Kaspar
    Getting started with Stream Processing with Kafka and Python - Austin Godber
    8:20 - Depart for Social Gathering at Tap House Kitchen, address below

    Note that the topics covered this month are a little more advanced and both talks will assume the audience has an understanding of Python or at least a willingness to dive into the deep end. Those new to Python are always welcome though!

    What:

    Calling C from Python - We like writing in Python, but sometimes to overcome its limitations or for the sake of convenience we want to call out to native libraries. This talk will introduce the standard library's ctypes module and demonstrate its use with a simple example.

    Bio: Dave Kaspar earned a Ph.D. in mathematics from the University of California, Berkeley, and has held postdoctoral appointments at Brown and Arizona State University. He has published papers on nonlinear partial differential equations, probability, and statistical physics, and more recently has been working on applied Bayesian inference.

    Getting started with Stream Processing using Kafka and Python - A quick intro to Kafka, a distributed log system, and how to interact with it using Python.

    Where:

    McKesson in Scottsdale (The middle of three buildings, Bldg. #2). When you enter security will have the RSVP list, have you sign in on the iPads, and direct you down the hall to the meetup room.

    Social Gathering:

    Come socialize with us after the meeting at TapHouse Kitchen right after the meeting, around 8:30 or 8:45 PM at:

    TapHouse Kitchen
    6137 North Scottsdale Road #108
    Scottsdale, AZ 85250

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