Hi Chipy,
Our March is marching around the corner! We have a good lineup this month,
so hope to see you there!
Big thanks to Metis <http://www.thisismetis.com> for hosting us this
month! The event can be livestreamed at: http://bit.ly/2FgK3Tv
*When:*Thurs March. 8, 2018, 6 p.m.
6:00pm: Doors open; food arrives
7:00pm: Talks Start promptly at 7
*How:*You can RSVP at chipy.org <http://www.chipy.org/> or via our Meetup
<https://www.meetup.com/_ChiPy_/events/248083302/> group.
*Where:*
Metis
1033 West Van Buren St, 3rd Floor, Chicago
*What:*
-
*Introduction to Keras By: Chris Gruber Experience Level: Intermediate
Keras is a popular framework for building neural networks in Python. Using
Keras, a developer can define and train a neural network in just a few
lines of code. Keras also includes a number of pre-built networks to build
state-of-the-art models for language translation, image recognition, etc.
This talk will consist of an overview of Keras and its features, and a demo
in which we build and train a classifier for the MNIST hand-written digit
dataset. *
- *mitmproxy: Lift the veil on server-side HTTP(s) interaction*
By: Ross Heflin
Experience Level: Intermediate
When writing web frontends there's powerful tools for understanding
backend calls made by a website (Network tab in Chrome, Firefox, Webkit'sm
Dev Tools and HAR analyzers). These are (reasonably) great for figuring out
what requests a browser is making to backend servers & what came back. When
dealing with server-side code its somewhat harder to see all requests made
to other systems in context of what requests came into the server-side api
without instrumenting your code with lots of (often incomplete) logging.
During the last 5 years, I've worked through many issues in various
languages/frameworks and libraries, where the only common thread was
(sometimes complex) communication with other systems over HTTP(S) by using
mitmproxy. This talk will cover a variety of use cases, demonstrating some
useful capabilities of this versatile tool with minimal (if any) changes to
existing code regardless of source language, server-side framework, and
HTTP client used.
- *Formatted strings in Python 3.6*
By: Phil Robare
Experience Level: Novice
3.6 has introduced a fourth way to format output from a Python program.
PEP 498 introduced a new kind of string literals: f-strings, or formatted
string literals. Formatted string literals are prefixed with 'f' and are
similar to the format strings accepted by str.format(). They contain
replacement fields surrounded by curly braces. The replacement fields are
expressions, which are evaluated at run time, and then formatted using the
format() protocol This talk will give a quick overview of syntax, usage,
and possibly abuse of this new feature.
Thank you always to all our sponsors, including our Diamond sponsors: Metis
and Telnyx
Also 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/
--
Joe J. Jasinski
www.joejasinski.com
