[Chicago] [ANN] ChiPy July Meeting: Mentorship Talks

Brian Ray brianhray at gmail.com
Thu Jul 9 15:40:29 CEST 2015

Thank you Braintree for buying pizza for tonight. Thank you WeWork for the
keg. O'Reilly for prizes. So glad this is coming together last minute.

On Sat, Jul 4, 2015 at 4:21 PM, Brian Ray <brianhray at gmail.com> wrote:

> Happy Fourth Everyone.
> We found a great space for our July meeting. WeWork Chicago!
>  July 9, 2015, 7 p.m.
> Please accept our pull requests!
> class JulyMeeting(Meetings):
>     """ Best ever """
>     def get_info(self):
>         return {
>             "Food and Drink":  Provided("beer", "pizza"),
>             "Expect to meet great people": True,
>             "Python experience required": None,
>             "You will learn something": True,
>             "You can teach others": True,
>             "Cost of attending":  0.0,
>             "Expected turn out": Great("best ever"),
>             "Expected quality: 10.0/10.0,
>             "OH": "This will be our best meeting ever"}
> WeWork
> <http://maps.google.com/maps?f=q&hl=en&q=220+N+Green+Street%2C+Chicago%2C+IL%2C+us>
> 220 N Green Street, Chicago, IL
> RSVP here:  http://www.meetup.com/_ChiPy_/events/223700984/
> OR here: http://www.chipy.org/
> ----
> Collection of talks from the Mentorship program Mentees and Mentors on
> topics like: Raspberry Pi , Machine Learning, Django Study Group,
> Visualization...
> More details:
> Building a Temperature Control Program for Monitoring Aquaculture Tanks
> Using Raspberry Pi and Python
> (0:07:00 Minutes)
> By: Thao Nguyen
> Growth of the Mentee as a Pythonista I have turned from totally no
> experience with Python to gaining a good amount of knowledge in this
> language. I have learned from the very basic syntaxes to writing functions,
> then writing functions for different types of data (list, string, integer,
> decimal, float, epoch, threshold…) to serve various purposes; I know how to
> install redis, bokeh and flask for data acquisition, storage and
> performance; I also learned how to send an email alert from the Raspberry
> Pi with Python, thanks to the hackathon midterm meetup and my mentor. And
> because our project covers a wide range of activities, I have learned a lot
> of the fundamental elements of Python as well as programming in general.
> Above all, the best thing I have learned about Python through this
> Mentorship program is being confident and feeling more comfortable with it.
> Before this project, I wasn’t really sure about Python. Is it what I want
> or I might be better off with other languages? But after finished the
> project, I can say it was fun, and it serves well what I want to do. So I
> decided to move forward with it. And even though this is my very first
> programming language, but the dynamic from its strong supportive community,
> rich wonderful open sources and inspiring opportunities like this
> Mentorship program, all makes me feel that Python is a good choice. The
> Mentor's role When I asked my mentor for his advices on learning
> programming, he told me that to him, the best way to learn is doing
> projects, just like what we are doing. And that is so true. Sometimes I
> feel like the best way of learning how to swim is just jumping into the
> water, like doing a project; it can be scary, uncertain, and possibly
> failed, but it can also be very exciting and thrilling. Of course, one
> should only jump with a life preserver if she never knows how to swim
> before. And our mentors are life preservers. For a novice, it could be very
> confused at first of where to go, what direction to take, or how to get
> there; and easy be overwhelmed by too much information. The life saver may
> not be able to tell you what direction to take either, but at least, it
> will help you have some time to think and to practice before you decide
> your next moves. Obviously, a mentor is much better than a life saver,
> because no life saver can talk nor answer questions; and the best part is,
> they have a lot of experiences in their hands and are willing to share them
> with you. Thao Nguyen
> Machine Learning with Python
> (0:07:00 Minutes)
> By: Alexander Flyax
> I will briefly describe my journey into applied machine learning using
> Python packages like scikit-learn and statsmodels.
> Why learning process matters to student dev's
> By: Lane Campbell
> I took up learning Python and Web Development early this year. I started
> attending Django lessons held by folks in the community. After the lessons
> students had trouble finding help learning together. To help everyone
> organize I founded the Django Study Group. I've been learning for the last
> six months but I am still a student. I joined the Chipy mentorship program
> to learn from a local professional Python developer. While enrolled in that
> I took the opportunity to join a student team led by Brian Ray for more
> experience learning to code. It was working alongside Brian that I learned
> the importance of how you build software.
> Formula One Data Visualization and Interpretation: adventures in
> mentorship
> (0:07:00 Minutes)
> By: Seth Difley
> We participated in the Chipy mentorship program. Our plan for the
> mentorship was to use Python to visualize and interpret Formula One racing
> data. Join us to hear about the triumphs and obstacles we encountered along
> the way.
> --
> Brian Ray
> @brianray
> (773) 669-7717

Brian Ray
(773) 669-7717
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