Open Source Directions

Webinars highlighting open source projects

There are many open source projects you rely on. Tune into these webinars where developers and leaders of open-source projects talk about where the project is heading. Get the benefits of Open Source Partnerships while helping the projects reach their goals.

Listen to the Podcast

Upcoming Live Webinar Episodes

Episode #14: ITK

The webinar will feature

Matt McCormick and Beatriz Paniagua, who will tell us about the future of ITK. ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT, MRI or ultrasound scanners. Registration is the task of aligning or developing correspondences between data.

Featuring ITK Developers: Matt McCormick and Beatriz Paniagua

 

Episode #14

Air Date 22 February 2019

@12 PM Eastern

 

Episode #15: Numba

The webinar will feature

Stanley Seibert, who will tell us about the future of Numba. Numba translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. Numba-compiled numerical algorithms in Python can approach the speeds of C or FORTRAN.

Featuring Numba Developer: Stanley Seibert

 

Episode #15

Air Date 1 March 2019

@12 PM Eastern

 

Episode #16: Chainer

The webinar will feature

Crissman Loomis, who will tell us about the future of Chainer. Chainer is a powerful, flexible, and intuitive deep learning framework. Chainer supports CUDA computation, and requires only a few lines of code to leverage GPU and runs on multiple GPUs with little effort.

Featuring Chainer Developer: Crissman Loomis

 

Episode #16

Air Date 14 March 2019

@12 PM Eastern

 

Episode #17: Tensorflow

The webinar will feature

Paige Bailey and Magnus Hyttsten, who will tell us about the future of Tensorflow. TensorFlow is an open source machine learning framework for everyone. It works with Python and provides high-performance numerical computation that makes machine learning faster and easier.

Featuring Tensorflow Developers: Paige Bailey and Magnus Hyttsten

Episode #17

Air Date 22 March 2019

@12 PM Eastern

 

Episode #18: PyMC3/4

Featuring PyMC3 Developer: Christopher Fonnesbeck

Episode #18

Air Date 5 April 2019

@12 PM Eastern

We will be joined by Christopher Fonnesbeck, who will tell us about the future of PyMC3/4. PyMC3/4 allows you to write down models using an intuitive syntax to describe a data generating process. Furthermore, you can fit your model using gradient-based MCMC algorithms like NUTS, using ADVI for fast approximate inference — including minibatch-ADVI for scaling to large datasets — or using Gaussian processes to build Bayesian nonparametric models.

 

Episode #19: Pyodide

Featuring Pyodide Developers: Michael Droettboom

 

Episode #19

Air Date 19 April 2019

@12 PM Eastern

We will be joined by Michael Droettboom, who will tell us about the future of Pyodide. Pyodide allows you to build a data science notebook based on web technologies. Sharing a notebook is as simple as passing around a single HTML file, since there's no server side to worry about. Though similar to Jupyter Notebooks, it exists in a different design trade off space and is designed around sharing and collaboration.

 
 

Previous Episodes

Episode #13: Jupyter Ecosystem

The webinar will feature

Matthias Bussonnier and Carol Willing, who will tell us about the future of the Jupyter Ecosystem. The Jupyter Ecosystem is a collection of tools which are oriented towards improving the lives of data analysts. Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages.

Featuring Jupyter Ecosystem Developers: Matthias Bussonnier and Carol Willing

 

Episode #13

Air Date 1 February 2019

@12 PM Eastern

 

Episode #12: PySpark

We will be joined by Holden Karau, who will tell us about the future of PySpark. PySpark is the Python API for Spark, it exposes the Spark programming model to Python helping data scientists interface with Resilient Distributed Datasets in apache spark. python.Py4J is a popular library integrated within PySpark that lets python interface dynamically with JVM objects (RDD's). Apache Spark comes with an interactive shell for python as it does for Scala.

Featuring PySpark Developer: Holden Karau

Episode #12

Air Date 18 January 2019

@12 PM Eastern

 

Episode #11: Dask

The webinar will feature

Jim Crist and Tom Augspurger, discussing Dask. Dask ML has two goals: Scale machine learning to more computation; and scale machine learning to big data. Dask’s architecture can scale to many machines using parallelism for optimization.

Featuring Dask Developers: Jim Crist and Tom Augspurger

 

Episode #11

Air Date 11 January 2019

@12 PM Eastern

 

Episode #10: PyData/Sparse

The webinar will feature

Hameer Abbasi, discussing PyData/Sparse. PyData/Sparse implements sparse arrays of arbitrary dimension on top of NumPy and scipy.sparse. He will discuss the roadmap for future implementations and the eventual goals of this project.

Featuring PyData/Sparse Developer: Hameer Abbasi

 

Episode #10

Air Date 19 December 2018

@12 PM Eastern

 
 

Episode #9: Datashader

Featuring Datashader Developer: Jim Bednar

 

Episode #09

Air Date 14 December 2018

@12 PM Eastern

The webinar will feature

Jim Bednar, discussing Datashader is a graphics pipeline system for creating meaningful representations of large datasets quickly and flexibly. He will discuss the roadmap for future implementations and the eventual goals of this project.

Episode #8: SciPy

Featuring SciPy Developer: Ralph Gommers

 

Episode #08

Air Date 30 November 2018

@12 PM Eastern

The webinar will feature Ralph Gommers, discussing  SciPy.  SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. In particular, some of the core packages include; NumPy, Matplotlib, IPython, Sympy, and pandas. 

 

Episode #7: GeoViews

Featuring GeoViews Developer: Philipp Rudiger

 

Episode #07

Air Date 16 November 2018

@12 PM Eastern

The webinar will feature Philipp Rudiger, discussing  GeoViews is a Python library that makes it easy to explore and visualize geographical, meteorological, and oceanographic datasets,such as those used in weather, climate, and remote sensing research. He will discuss the roadmap for future implementations and the eventual goals of this project.

 
 

Episode #6: Intake

Featuring Intake Developer: Martin Durant

 

Episode #06

Air Date 26 October 2018

@12 PM Eastern

The webinar will feature Martin Durant, discussing Intake which is a lightweight set of tools for loading and sharing data in data science projects.
He will discuss the roadmap for future implementations and the eventual goals of this project.

 

Episode #5: CuPy

Featuring CuPy Developer: Crissman Loomis

 

Episode #05

Air Date 18 October 2018

@9 PM Eastern

We will be joined by Crissman Loomis, who will tell us about the future of CuPy. CuPy is an open-source matrix library accelerated with NVIDIA CUDA. It also uses CUDA-related libraries including cuBLAS, cuDNN, cuRand, cuSolver, cuSPARSE, cuFFT, and NCCL to make full use of the GPU architecture.

 

Episode #4: PyViz

Featuring PyViz Developer: Jim Bednar

 

Episode #04

Air Date 12 October 2018

@12 PM Eastern

The webinar will feature Jim Bednar, discussing PyViz which is an initiative to coordinate scientific Python libraries so that they can work well together and jointly solve a wide range of problems in data science, visualization, and analysis. He will discuss the roadmap for future implementations and the eventual goals of this project.

 

Episode #3: SymPy

Featuring SymPy Developer: Aaron Meurer

 

Episode #03

Air Date 28 September 2018

@12 PM Eastern

The webinar will feature

Aaron Meurer, discussing SymPy which provides a library for symbolic mathematics. He will discuss the roadmap to becoming a full-featured computer algebra system while keeping the code as simple as possible.

 

Episode #2: XND

Featuring XND Developer: Saul Shanabrook

and XND Manager: Travis Oliphant

 

Episode #02

Air Date 7 September 2018

@12 PM Eastern

The webinar will feature

Saul Shanabrook and Travis Oliphant discussing XND which provides array-libraries and tools for data-developers.  The rationale for XND will be discussed along with where the project is headed.

Episode #1: Spyder

The webinar features Carlos Cordoba with Spyder, a popular IDE. Carlos walks through current and future developments. The Scientific PYthon Development EnviRonment helps you streamline your data crunching and will be familiar to anyone who has used IDEs such as MATLAB or RStudio.

Featuring Lead Spyder Developer: Carlos Cordoba

 

Episode #01

Air Date 10 August 2018

@12 PM Eastern

 

Episode #0: Bokeh

Featuring Lead Bokeh develoer Bryan Van de Ven

Episode #00

Air Date 20 July 2018

This webinar features Bokeh which is a web-based and interactive visualization library for Python. Its goal is to provide elegant, concise construction of versatile graphics, and to extend this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.  

 

©2019 QUANSIGHT

  • LinkedIn - White Circle
  • Facebook - White Circle
  • Twitter - White Circle