@sairam, you can get the presentations from the meetup page (chennaipy meetup.com)
On 30 August 2016 at 11:08, Sairam Murali <isair...@gmail.com> wrote: > 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-_-p...@mail.gm >> ail.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 >> ***************************************** >> > > > _______________________________________________ > 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
