Thanks Azeez, for the detailed write-up. Appreciate your enthusiasm and effort.
It was helpful for me. I got a good picture of what happened, in-spite of not able to make it to the meetup. Best wishes, Ashok 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 > >
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