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As we move into a new era of virtual events, we are combining your favorite aspect of talks night & project night in one! And to help you get the social fix, we'll be using remo.co, the virtual platform you raved about at PyBay conference.

FAQ:
👉 How does one network / socialize at a virtual event?
With remo.co, each table can have a conversation theme. Double click to join the table (chat with a speaker, water cooler, let's talk about graph database, etc), turn on your mic and video, and wola, you'll meet folks with the same interests. You can also search the list of participants and invite them to your table for a reunion.
👉 I miss Project Night, how will that work?
During opening remarks, you'll make announcements. Want to lead a discussion? Get code reviewed? Perhaps you are working on a data migration project and got stuck? Let us know, we'll name a table for you so people can find you during the meet up to chat further.

AGENDA:
6:30p Get up to speed on remo.co, network and reconnect with friends!
7:00p Opening remarks, sponsors acknowledgement, SIG and 'project night' announcements
7:10p Listen to scheduled talks OR head to 'project night' room to chat with others on topics of your interest, find mentors, etc.
8:30p Wrap up last talk, more Q&A and networking
9:00p Hard stop

👉 Please register: https://live.remo.co/e/sf-python-oct

👉 Write me (Grace) if you plan to lead a tutorial/open space discussion

🔎🔎 SCHEDULED TALKS

🔎 Short talk (~10 mins + Q&A)
#1 Building your first REST API with AWS’s Open Data Sets and Chalice

We’ll start by learning the fundamentals of REST APIs, implement a REST API with Chalice, and hook that API up to an external data set with an AWS Open Dataset.

Christian Weber is a Developer Advocate at Amazon Web Services. In his spare time, he enjoys playing guitar, listening to loud music, and zoom-zooming in his Miata!

#2 Three ways to test S3 in Python by Sanjay Siddhanti
Strategies for testing Python code that uses Amazon S3

Sanjay Siddhanti is an Engineering Manager at Alpha Health. Outside of software, he enjoy sports, cooking, meditation, and reading.

🔎 Main talk (25 mins + Q&A )

Demystifying Flask's Application and Request Contexts with pytest by Patrick Kennedy

The application and request contexts are key parts of any Flask application, as they control which variables are and are not globally accessible. Understanding how each context works is important when developing Flask applications, and yet they are often misunderstood.

This talk dives into how the application and request contexts work when handling a request. The concept of proxies is discussed for providing thread-local access to the application and request contexts.

To really illustrate how the application context works, pytest will be utilized to show how the application context works outside of a request. This example shows a common error ("Working outside of application context") during testing and how it should be solved by pushing to the application context stack.

Bio -
Patrick is a Software Engineer with 15 years of experience developing real-time software applications in C++. He is also an author at TestDriven.io (https://testdriven.io/) where he has published courses on Vue (Learn Vue by Building and Deploying a CRUD App - https://testdriven.io/courses/learn-vue/) and Flask (Developing Web Applications with Python and Flask - https://testdriven.io/courses/learn-flask/).

This event is produced by:

SF Python, a volunteers-run organization aiming to foster the Python Community in the Bay Area.

Video Sponsor is IBM

For over a century, IBM has led world-changing progress by uniting, empowering, and relentlessly reinventing itself and their customers. The IBM Data Science Community is the place for data scientists and developers to learn, share, and engage with their peers and industry renowned data scientists. Join the IBM Data Science Community and participate in shaping the digital future