Scaling Data Science w/ Dask || Building your 1st performance monitor w/ Bash

Hi PyLadies Berlin! We have two great technical talks from two PyLadies in our global network!🙌

🔊Scaling Data Science with Dask by Pavithra Eswaramoorthy
This talk is an introduction to Dask - a Python library that helps scale data science and machine learning workflows. We will talk about big data, discuss parallel & distributed computing, and see how Dask makes it easy to scale-up to use all cores in your local machine, as well as scale-out to leverage cloud resources.

👩‍💻 Pavithra Eswaramoorthy is interning as a data science evangelist at Coiled, where she works on making Dask more accessible to everyone. In her spare time, she enjoys sketchnoting and coffee.

🔊 Building your first performance monitor by Laura G Funderburk
Development operations ("DevOps") has quickly evolved into a field that requires depth and breadth of knowledge, both in its overall process within successful deployment as well as with the numerous technologies required to perform various duties.

This talk will focus on performance testing of a database, and in particular, how to collect and detect query timeout issues. Laura will share how you can deploy your first "performance monitor" using three tools:

1. A Python script
2. A CronJob
3. A GitHub repository

The focus of this talk will be twofold: Laura will explore how to leverage Bash and Python to automate performance monitoring; she will also share how you can leverage GitHub and GitHub pages to easily share results with your team.

👩‍💻 Laura Gutierrez Funderburk holds two roles: she is a Data Scientist at Cybera, where her focus is on using Python and Jupyter notebooks to develop educational content exploring data; she also holds a part time position supporting DevOps tasks for the iReceptor project. Laura is a co-organizer for PyLadies Vancouver and during 2021 she acts as Chair for the Vancouver DataJam, a local event supporting members of visible minorities to get started with data science.