Hi All, Went through the meeting notes, it would be great if there is a place where can i get the presentation or recordings of the talks?
Thanks! Sai On Mon, Aug 29, 2016 at 4:13 PM, <chennaipy-requ...@python.org> wrote: > Send Chennaipy mailing list submissions to > chennaipy@python.org > > To subscribe or unsubscribe via the World Wide Web, visit > https://mail.python.org/mailman/listinfo/chennaipy > or, via email, send a message with subject or body 'help' to > chennaipy-requ...@python.org > > You can reach the person managing the list at > chennaipy-ow...@python.org > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of Chennaipy digest..." > > > Today's Topics: > > 1. Re: August Meetup - Minutes (hafizul azeez) > > > ---------------------------------------------------------------------- > > Message: 1 > Date: Mon, 29 Aug 2016 16:13:31 +0530 > From: hafizul azeez <hafizul.az...@gmail.com> > To: Chennai Python User Group Mailing List <chennaipy@python.org> > Subject: Re: [Chennaipy] August Meetup - Minutes > Message-ID: > <CAAAE1MpFJjB3t3m6fKrBn2qkd30o8RWnV4SH-y+1MBA-_-pT+A@mail. > gmail.com> > Content-Type: text/plain; charset="utf-8" > > Anand, > > It's easily doable. You can use Flask web framework to do it. You can send > a request via ajax from the client (browser) to the server with the input > being a random number between 1 and 100 (or the max number of quotes) you > have in your db or for that matter in a text file. > > The server takes the request, checks the paramater (the random number) and > picks the appropriate row id from the database and return it as json or as > a python object which you can format (using jinja templates) and write to > the DOM of the browser. > > I suggest you start with a Flask tutorial - which will give you a general > idea : > http://code.tutsplus.com/tutorials/creating-a-web-app- > from-scratch-using-python-flask-and-mysql--cms-22972 > > > Thanks > Azeez > > On 29 August 2016 at 15:59, Anand Surampudi <asin...@zoho.com> wrote: > > > Sure Azeeze. I will work on that. Thanks for your constant push. > > > > Meanwhile, can you or anybody suggest a resource for learning how to > > achieve a small task in python. What I want to do is to build a web page > > that randomly generates a quote on every click of a button. Lets just > say I > > want to host this page on github pages. I know how content-based github > > pages work since I maintain my blog there. But this is something I want > to > > learn using github pages and python. This is it. > > > > I am sure this sounds pretty silly. But as a beginner, I would like to > > give myself this kind of tasks for my learning. > > > > On script level, I can do it. I mean I run the script on terminal and it > > definitely throws the random quote as an output. But I want the same > thing > > to happen on a web page, but random printing should happen on every click > > of a button, say something like, "Surprise me!" or something. > > > > Thanks. > > Anand > > > > On Mon, Aug 29, 2016 at 2:50 PM, hafizul azeez <hafizul.az...@gmail.com> > > wrote: > > > >> Anand, > >> > >> Hope you are getting well now! > >> > >> I gave my first talk (ah.. finally) after 3 meetups - though it was > >> unprepared. I encourage you to do the talks sometime. We would love to > hear > >> from you - your thoughts and experiments with python. > >> > >> Azeez > >> > >> > >> On 29 August 2016 at 14:31, Anand Surampudi <asin...@zoho.com> wrote: > >> > >>> Azeez, > >>> > >>> You really made me feel so bad. You forced me to see how much I missed. > >>> Just kidding! ;-) > >>> > >>> But from your minutes, I seriously regret not making it yesterday as I > >>> was down with fever. That was very elaborate record of minutes and > thanks a > >>> lot for initiating this. I will try to make use of the material that is > >>> hopefully going on github soon. > >>> > >>> Anand > >>> > >>> On Mon, Aug 29, 2016 at 10:57 AM, hafizul azeez < > hafizul.az...@gmail.com > >>> > wrote: > >>> > >>>> The non-stop drizzle, the quiet IMSc environment and vibrant > >>>> pythonistas set the context and expectations for the August meetup. > >>>> However, plans took unexpected turns when the speakers got delayed > due to > >>>> the drizzling rain outside and the traffic created by it. Vijay took > the > >>>> stage to engage the audience with round of introductions and a > generic Q&A > >>>> session on python and the community. All of them took the opportunity > to > >>>> introduce themselves and a few asked some interesting questions. With > the > >>>> speakers not turning up yet, Vijay announced a lightning talk session. > >>>> > >>>> Rengaraj from Zilogic systems took the opportunity to present an idea > >>>> he was working with (DBus), explained the design and asked for > feedback and > >>>> contributions. Kudos to Rengaraj - though it was a lighting talk, > taking to > >>>> the stage with no slides and preparation within few minutes summons > respect > >>>> and appreciation. > >>>> > >>>> An introduction to Flask by Hafizul Azeez > >>>> > >>>> As an emergency talk, Azeez gave a brief description of Flask and how > >>>> it can be used for rapid application development. Azeez highlighted > the > >>>> difference between the micro web framework, Flask and how it is > compared > >>>> with a batteries included framework like Django. He gave a brief demo > of > >>>> how a simple Flask web app looks like and explained the code behind > the app. > >>>> > >>>> He also made slight changes to the code with the inclusion of html > >>>> templates and how parameters can be passed from the client side to the > >>>> server side thru Flask routes a.k.a end points. In the process, he > said how > >>>> the Flask framework supports a design pattern called MVT (Models, > Views and > >>>> Templates) and how it all works in orchestration to make the web app. > >>>> > >>>> He also gave additional inputs on extending the Flask app with Plugins > >>>> and highlighted a few prominent plugins like FlaskWTF (for Forms), > >>>> Flask-SQLAlchemy (for databases), Flask-Login (for managing user > logins, > >>>> authentications, session management and cookies) and few additional > modules > >>>> (like Jsonify). Overall, the session received positive inputs > considering > >>>> that it was planned to be a filler (till speakers arrive) lightning > talk > >>>> but turned to be a 20 minute talk. > >>>> > >>>> This talk was followed by tea and networking. The cool weather outside > >>>> (something Chennai misses too often) and the hot tea and coffee inside > >>>> added energy to the already pumped up pythonistas. Getting to know new > >>>> people, shaking hands, answering queries, taking feedback accompanied > with > >>>> good weather - whoa, just awesome! Speakers turned up sometime back > and two > >>>> more talks to go as per schedule. > >>>> > >>>> Computer Vision with Deep Learning by Manish Shivanandhan > >>>> > >>>> Manish started with an introduction of deep learning and how machine > >>>> learning and deep learning differs. Machine learning is more of > recognising > >>>> patterns and deep learning is more of learning about patterns. Manish > >>>> covered the different types of learning - supervised, unsupervised and > >>>> reinforcement and gave examples for each of these types; along with > >>>> classification and regression and provided real life examples (housing > >>>> prices, stock prices etc) to compliment the understanding. > >>>> > >>>> Coming to neural networks, Manish hinted various algorithms are used > >>>> for deep learning and one of them being Neural networks. He also > deciphered > >>>> as to why Neural networks is getting so much traction these days!? - > and > >>>> attributed it to the increasing computer processing power and the > exploding > >>>> amounts of data. > >>>> > >>>> He also highlighted the use cases of Neural networks and its > advantages > >>>> and limitations. Prominent examples being: > >>>> Computer vision - pattern recognition in images > >>>> Creative usage - generating text/music/speech > >>>> > >>>> One interesting exampling Manish gave is the JK Rowling (Author of > >>>> Harry Potter series) case and how Neural networks helped identify > when one > >>>> of her books was written in another pen name (which was not JK > Rowling). > >>>> This captivated the audience much more as this is some thing almost > all of > >>>> the audience can correlate with. He also stressed the importance of > Neural > >>>> networks in the health care domain in finding cure for diseases. > >>>> > >>>> He covered how neural networks can be used in Computer vision and deep > >>>> learning. He gave insights into how to take a problem and represent > it in > >>>> numbers so that deep learning can be used. He also hinted that if any > >>>> problem can be represented in numbers, deep learning can be used. He > demoed > >>>> with an image, flattening it and showing the numbers behind it and > >>>> highlighted that with enough numbers and processing power, patterns > can be > >>>> learnt by Neural networks. He complimented that with the Prisma case > study > >>>> where researchers took a lot of art manually, scanned it and fed > neural > >>>> networks to learn how the great artists like Picaso would have > painted the > >>>> picture (the brush strokes, the pressure applied etc). So when an > image > >>>> (like selfie) is fed into the Prisma application, the computer > generates > >>>> the art form of the image- i.e. how the image would look like if it > was a > >>>> painting from Picaso and the likes. This further stressed how deep > learning > >>>> can be used and how neural networks can be trained provided sufficient > >>>> clean data is fed into it. > >>>> > >>>> Finally, he gave an introduction to TensorFlow and its distinct > >>>> abilities when compared to other frameworks like Theano. Manish > finished > >>>> his talk with resources and references for further exploration of > Neural > >>>> networks and details about his upcoming webinar. Oh yes, he answered > a lot > >>>> of questions on deep learning from an inquisitive audience who were > awed by > >>>> the potential of deep learning and bitten by Manish's enthusiasm. > >>>> > >>>> Behaviour Driven Development by Naren Ravi > >>>> > >>>> Naren provided the background of the talk with a short description of > >>>> what Behaviour Driven Development (BDD) is all about - i.e. testing > the > >>>> code with the user in mind and meeting the expectation of the > stakeholders > >>>> rather than just testing the code. > >>>> > >>>> He started with the waterfall model, the advantages and it's > >>>> limitations. He gave insights into why testing in the later stages of > the > >>>> cycle makes life difficult - if bugs encountered and to finally > discover > >>>> that the design itself is flawed bringing up frustrations. > >>>> > >>>> He then covered how the first optimisation on the waterfall model was > >>>> done with testing the code and informing the development and how > further > >>>> optimisation was done to the waterfall model with both testing and > >>>> construction (coding) done parallely. Though these optimisations were > done, > >>>> Naren stated that there was an inherent disadvantage that was left > with - > >>>> i.e. the design cannot be tested. The solution is to bring the design > into > >>>> the development i.e testing, coding and design all tested parallely > which > >>>> is the Test Driven Development (TDD). > >>>> > >>>> Naren then added that even TDD won't suffice as the requirement > >>>> analysis stage is completely left out. He then questioned the > possibility > >>>> of scope (requirements) change and how the SDLC model would adopt it!? > >>>> Bringing the analysis cycle into the above cycle of testing, code and > >>>> design becomes the BDD, he concluded. This gave an overall picture of > the > >>>> BDD - testing (test cases) first, construction (coding) and the > design and > >>>> finally checking if all of it matches the requirements. > >>>> > >>>> He added that in some context, this is how lean startup works. Develop > >>>> a product with a new feature, send it to market, get feedback and > then add > >>>> a new feature, send it to market, gauge the reactions and the cycle > goes > >>>> on. Overall, it was a well structured talk starting with the > traditional > >>>> waterfall model to TDD to BDD and what optimisations were made on the > way. > >>>> He answered a few questions later to help bring more clarity into BDD. > >>>> > >>>> The meetup ended with Vijay thanking the venue and networking over tea > >>>> sponsors, speakers and the rest who made the meetup a successful > event. He > >>>> also asked attendees to register in the mailing list to keep abreast > of the > >>>> happenings in the Chennaipy community. > >>>> > >>>> Regards > >>>> Azeez > >>>> > >>>> _______________________________________________ > >>>> Chennaipy mailing list > >>>> Chennaipy@python.org > >>>> https://mail.python.org/mailman/listinfo/chennaipy > >>>> > >>>> > >>> > >>> _______________________________________________ > >>> Chennaipy mailing list > >>> Chennaipy@python.org > >>> https://mail.python.org/mailman/listinfo/chennaipy > >>> > >>> > >> > >> _______________________________________________ > >> Chennaipy mailing list > >> Chennaipy@python.org > >> https://mail.python.org/mailman/listinfo/chennaipy > >> > >> > > > > _______________________________________________ > > Chennaipy mailing list > > Chennaipy@python.org > > https://mail.python.org/mailman/listinfo/chennaipy > > > > > -------------- next part -------------- > An HTML attachment was scrubbed... > URL: <http://mail.python.org/pipermail/chennaipy/ > attachments/20160829/2827fb63/attachment.html> > > ------------------------------ > > Subject: Digest Footer > > _______________________________________________ > Chennaipy mailing list > Chennaipy@python.org > https://mail.python.org/mailman/listinfo/chennaipy > > > ------------------------------ > > End of Chennaipy Digest, Vol 36, Issue 12 > ***************************************** >
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