Jupyter Notebooks in production
===============================

Jupyter Notebooks are a valuable tool for exploring data, but
deploying them to production can be difficult. While there are
products like Databricks that offer Jupyter-like interfaces and
workflows, they can be expensive for small teams or specific use
cases. In this meetup, we will explore two DIY solutions for managing
Jupyter Notebooks that are affordable and suitable for small teams.


About Techmongers
-----------------

The #1 code school in The Netherlands. Now they teach all skills for a
sustainable workforce. Is very kind to have us here at Techmongers [1]


Schedule
--------

+-------+-------------------------------------------------------+
| 18:00 | Welcome                                               |
+-------+-------------------------------------------------------+
| 18:30 | First talk: Jupyter notebooks in production           |
+-------+-------------------------------------------------------+
| 19:00 | Second talk: Building a minimal data science platform |
+-------+-------------------------------------------------------+
| 19:30 | Small break                                           |
+-------+-------------------------------------------------------+
| 19:40 | Lightning talks?                                      |
+-------+-------------------------------------------------------+
| 20:10 | Networking                                            |
+-------+-------------------------------------------------------+
| 21:00 | Closing time                                          |
+-------+-------------------------------------------------------+


Bookrunner - Jupyter notebooks in production
--------------------------------------------

About Jan Gazda [2]: Is a founding member of PyAmsterdam team, open
source contributor, serverless technology experimentator, public cloud
enthusiast. Currently working as a freelance cloud consultant.


Abstract
~~~~~~~~

Bookrunner is a small application to configure and execute Jupyter
Notebooks. We'll go through the components used to build the
application and in the end show a live demo. Talk also mentions a few
common pitfalls between different disciplines, software engineering /
data engineering.


Building a minimal data science platform
----------------------------------------

About Benjamin Cerigo [3]: Founding Technical Architect & Engineer of
datavaluepoeple: a group of data professionals that build bespoke
data-driven systems. He is the past head of tech at a fin-tech
startup. Delivered full-stack projects end-to-end solo. Led teams of
developers. Music composition at Falmouth, with awards. Created
experimental music installations incorporating robotics. Believes
inclusions can make a positive difference to the world.


Abstract
~~~~~~~~

Data science teams often have to support numerous diverse projects and
requests from the rest of their organisation. Establishing a general
platform to power these many projects is vital to team effectiveness.
This talk will look at the motivations and possible solutions for
building a minimal data science platform and give tips and ideas for
how you might increase the effectiveness of your next data science
project.


Links
-----

[1] https://www.techmongers.nl

[2] https://www.linkedin.com/in/jangazda

[3] https://www.linkedin.com/in/benjamin-cerigo/