From joe.jasinski at gmail.com Tue Feb 6 09:38:54 2018 From: joe.jasinski at gmail.com (Joe Jasinski) Date: Tue, 6 Feb 2018 08:38:54 -0600 Subject: [ChiPy-announce] ChiPy: February 2018 Meeting Message-ID: Hi Chipy, Our February meeting is right around the corner. We have a good lineup this month, so hope to see you there! Thank you to Allstate for hosting us this month! *When:*Thurs Feb. 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 or via our Meetup group. *Where:* Allstate 222 W Merchandise Mart Plaza *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. - *ChiPy Survey Metrics Report* By: Raymond Berg Experience Level: Novice A quick summary of our ChiPy User Survey with analysis and information on how to make ChiPy even better! 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: