PAST MEETINGS

Algo Sig @ Holiday Club Lakeview: Thu, Jul 13 2023 at 06:30 PM at Holiday Club

2 Python enthusiasts attended this meeting.


Accelerating Science with Open Source, sponsored by OSSci: Thu, Jul 06 2023 at 06:00 PM at Sully's House

Repeatable Repeats with rpeat
By: Jeff Ryan

We made a job scheduler and reporting tool for ourselves. And then it turned out to be too good to keep internal. So here it is. Named rpeat, because jobs repeat but it also repeats important details about your job's to you wherever you are. It is dead simple but feature rich, intuitive but powerful.

SGX3: Accelerated Services and Community Interactions Supporting Open-Source Science
By: Sandra Gesing

Software has become a major driver for research with over 90% of researchers answering surveys that they use software for their research and over 65% expressing that they even could not do their research without software. Science gateways are defined as collaborative environments that allow science and engineering communities to access shared data, software, computing services, instruments, educational materials, and other resources specific to their disciplines. Their goal is to remove the barriers to online content, computing and data infrastructures. SGX3 is the newly funded NSF Center of Excellence for Science Gateways serving the science gateway community from users to providers to developers. Mature science gateway frameworks enable developers to re-use building blocks for typical tasks such as invoking simulations or sharing data. This way, a ramp up of a science gateway can be more efficient and developers can focus on the unique aspects of a science gateway that is tailored to a specific community. Many frameworks such as Hubzero and Tapis are open source and can be further developed by the community. SGX3 offers services to the community from UX design to technical gap analysis to internship opportunities.  The talk will go into detail for SGX3 and its services and examples for science gateways openly available.

QMCPy: Accelerating Computational Sciences through an Open-Source (Quasi) Monte Carlo Framework
By: Sou-Cheng Choi

Over several decades, (Quasi-)Monte Carlo ((Q)MC) methods have become indispensable in computational sciences. However, the field still lacks comprehensive, user-friendly software that fully harnesses the power of (Q)MC algorithms in research, development, and production environments. In response to this gap, we introduce QMCPy, an open-source software framework designed to bring together global (Q)MC researchers and practitioners. Through this presentation, we will unpack the unique features that make QMCPy a critical tool in advancing computational sciences, including its extensibility, robustness, and integration with existing (Q)MC libraries. By illustrating the criteria and practices taken in the development of QMCPy, we aim to not only showcase our work but also to invite you to contribute to and co-create in this open-source software and accelerate scientific discovery through improved (Q)MC algorithms.

Building tools to support FAIR ML research at Globus Labs
By: Will Engler

A lightning talk to discuss Globus Labs's ongoing work developing tools to support Findable, Accessible, Interoperable, and Reusable (FAIR) applied AI research in the natural sciences. Including Foundry, a platform for sharing and accessing AI-ready data for training scientific models. And Garden, a platform for making model discovery and hosted inference easier for scientific workflows.

15 Python enthusiasts attended this meeting.


ChiPy June 2023 __main__ Meeting: Thu, Jun 08 2023 at 06:30 PM at Spantree

JSON Web Tokens for Fun and Profit
(20 Minutes)
By: Heather White
Experience Level: Intermediate

What is a JWT and why would I want to use one?

This talk will cover common use cases. 

 

Exploring the Python Run Time Environment
(15 Minutes)
By: Alexander Leopold Shon
Experience Level: Advanced

This talk is for those who want to pierce the veil of abstraction and learn how their Python code is actually executed on a computer. First we will start with a guided overview of the Python Run Time envioronment in the CPython interpreter. Next will be an overview of the builtin inspect package and how it allows for direct access to the python runtime in your own Python code. After which I will show how you leverage this knowledge in PDB.

54 Python enthusiasts attended this meeting.


Algo SIG @ Spantree in West Loop: Thu, Jun 01 2023 at 06:30 PM at Spantree

12 Python enthusiasts attended this meeting.


ChiPy May 2023 __main__ Meeting: Thu, May 11 2023 at 06:30 PM at Tegus (by AlphaSense)

Micropython gpio
(20 Minutes)
By: Andrew Wingate
Experience Level: Novice

A deep dive into what actually happens when you're interfacing with gpio pins at the hardware and register level in micropython

Ellipses and Arcane Syntax
(15 Minutes)
By: Phil Robare
Experience Level: Intermediate

How does the elipses work? Let's find out.

Learning Sprint - An Experiment
(30 Minutes)
By: Eve Qiao and Raymond Berg
Experience Level: Novice

Eve and Ray embarked on a two week experiment they're calling a Learning Sprint. 4 hours a day, 5 days a week over two weeks they set goals and executed on them. What did they learn? Did it work? What fun facts did they pick up along the way? They'll explain in their thrilling talk for all skill levels.

57 Python enthusiasts attended this meeting.