ChiPy,
The August main meeting is almost here. We have some great talks lined up.
Hope to see you all there!
*When: *Aug. 9, 2018, 6 p.m.
6:00pm Doors open
6:30pm: Meeting Starts
*How:*You can RSVP at chipy.org <http://www.chipy.org/> or via our Meetup
<https://www.meetup.com/_ChiPy_/events/253543347/> group.
*Where:*
Sully's House
1501 N Dayton St, Chicago, IL 60642
*What:*
- *Pandas MultiIndex Tutorial and Best Practices*
By: Zax
Experience Level: Novice
While Pandas is one of the most well known Python libraries for working
with array-like data, many users limit themselves to just two dimensions
of data. This talk will walk through Pandas' MultiIndex DataFrames, which
extend traditional DataFrames by enabling effective storage and
manipulation of arbitrarily high dimension data in a 2-dimensional tabular
structure. ((If that sentence doesn't make sense yet, don't worry - it
should by the end of the tutorial.)) While the displayed version of a
multiindexed DataFrame doesn't appear to be much more than a
prettily-organized regular DataFrame, it's actually a pretty powerful
structure if the data warrants its use. This talk is beginner friendly, and
will start from the assumption of having never used Pandas, though some
Pandas experience will aid understanding.
- *Interactive Introspection with `ls`*
By: Aly Sivji
Experience Level: Novice
Walkthrough of `python-ls`, a new utility that allows users to
interactively introspect Python objects.
- *Mocking with MITM*
By: Quentin Bayart
Experience Level: Intermediate
Every developer (eventually) writes tests. Unit tests, Integration
tests, End-to-end tests, Regression tests.. All of those tests are necessary
but can become a nightmare when you need to refactor some code. I
personally don't like the amount of time I spend to manually mock my
dependencies / functions / objects. This talk is about a simple
docker-compose / pytest / mitm setup which aims at speeding up the mocking
process and the maintenance of those mocks when refactoring or when
updating the interface of your services. Q&A: Many of you are dealing with
this mocking process regularly so you can expect many comments / questions
if you come to this talk :) Contact: Quentin Bayart, Software Engineer @
Nielsen qbayart(a)hawk.iit.edu https://github.com/QuentinBay A couple of
days before the presentation, I will push my demo to my github so you
should be able to find it there after the presentation.
- *Python Magic Methods*
By: Nick Timkovich
Experience Level: Intermediate
Everything in Python is an object and nothing is special. Python's
built-in objects can be added, called, indexed, or with'd, and with a little
magic, so can yours! Use of magic methods, those prefixed/suffixed with
double underscores, can increase the flexibility of your code while also
making it shorter and simpler.
*Thank you always to all our sponsors, including our Diamond sponsors:
Metis and TelnyxAlso thank you to our Platinum sponsors: Braintree,
Imaginary Landscape, Lumere, and Signature Consultants. Also, thank you to
our Silver sponsor: Markit.Please be aware of our code of
conduct http://www.chipy.org/pages/conduct/
<http://www.chipy.org/pages/conduct/>*
--
Joe J. Jasinski
www.joejasinski.com
Hi all,
ChiPy is still looking for speakers for the August 9th meeting. If you'd
like to submit a topic idea about a Python-related, please feel free to
submit one here:
http://www.chipy.org/meetings/topics/propose/
If you have any questions, don't hesitate to ask me. Thanks and hope to
hear from you!
Joe
