• Title
  Dabbling with Decorators

• Brief description about the content to be covered
  I'll be talking about Decorators, a very powerful design pattern to extend the functionality of function, method or class in Python.

• Time required for the talk
  30 mins

• About yourself
  I'm currently a Software Developer at Zomato. I've also been a GSoC student and mentor in the past couple of years. I briefly worked at Aspiring Minds as a Research Engineer.

The idea is to implement a Pipeline based architecture where a message would come off of Redis queue and run through a pipeline of transformations and published to frontend or mobile clients using Nginx-push-stream module.

I would like to give a short talk about my phd research and solicit volunteers for my project. About me:
Jasmine Folz is an American/Canadian citizen doing her Ph. D. in Anthropology in the University of Manchester (UK) on the subject of FOSS in India. She is hosted as a Visiting Researcher at the AU-KBC Research Centre in Chennai for her field work for one year, March 2016 to Feb 2017. Some more info on her is available at: jfolz.org
As a part of her fieldwork , Jasmine has been traveling to different parts of India to meet persons who have been leading/promoting FOSS in India in various ways. She plans to be in Delhi December 12-19 and would like to meet up with FOSS folks for interviews.

Aim: To develop android applications using Kivy from scratch.

Level: Beginner + Intermediate

Live Tutorial demonstration : Yes

Link to slides: http://slides.com/rajarahulray/kivy_intro#/

I would love to see someone take up this talk proposal w.r.t Mocking in Python and how to write efficient unit test cases. In case anybody is interested please respond :)

This talk covers some of the lesser known shell utilities and python libraries that can make the lives of Python developers easier.

Slides/Notebook: https://github.com/rajat404/talks/tree/master/essential_tools_python

Check this out: http://www.kplugs.org/

In this talk I will start from the bottom as to how people study a website and scrape starting from beautiful soup and how selenium may be the last resort in certain situations.

Topic: Getting started with Kivy
Date:
Description: Kivy - Open source Python library for rapid development of applications
that make use of innovative user interfaces, such as multi-touch apps. Its Cross platform, Business Friendly and GPU Accelerated. Kivy

• Date Confirmation.
• Presentation Review.

How to user assertion
Use Different type of assertion
using assertion in same class
use assertion in outside the class

I will be talking about Global-Interpreter-Lock (GIL) in Python. It's a mutex that prevents multiple native threads from running in parallel. In essence, this says that a python program cannot do more than one thing at once via threading.

I came across this:
https://github.com/simpleai-team/simpleai

I'd love it if someone did an introduction to this

Generally we think Python as a tool to accomplish certain geeky task. But during this crisp talk I'll lay focus on how we are using Python to generate Fractal Patterns and Automating design related task.

These days I am refactoring a python codebase that has lead to a lot of ideas on simple things that can improve a codebase in short amount of time. There is no tentative date or number I can give right now but I think I should have some 20-30 in next 2 months.

• Title
  Data Pipelining with Luigi

• Brief description about the content to be covered
  For a data-driven product, preparation of data needs subsequent processing over various steps. As the complexity of tasks and data increases, reproducibility and recovery in case of failure become cumbersome.
  Luigi is a Python-based framework which provides an elegant way of defining complex data pipelines. It is developed over the idea of ‘tasks’ and their resultant ‘targets’. The key takeaways are the easy maintenance of task dependencies, failure recovery, and expressive pipeline visualization.

• Time required for the talk
  30 minutes

• About yourself
  Amit Kushwaha is a Machine Learning Engineer at Zomato. His major areas of interests are Deep Learning and Natural Language Processing. Some of his notable projects in the Deep Learning includes Synthesizing Insights and actionable items from user opinions and reviews, Photo Classification tailored to Food search and Discovery platforms and EyeQ (Image Quality and Aesthetics determination). He is currently working on Learning Semantic Hierarchies via Word Embeddings and Recommendations at Zomato. He dreams to pursue Artificial Intelligence as an independent researcher in future.

I am proposing a workshop for PyDelhi's Upcoming Meetup. Since the workshop for 16 Jan is already taken, the day of next meetup would be great for this workshop.

Slides:
http://iamit.in/talks/slides/sympy-tutorial-intro.pdf

Ipython-Notebooks:
http://iamit.in/sympy-tutorial/tutorial_exercises.zip

Topic: Moving from Django to Pyramid - Lessons Learned
Date: August 8, 2015
Pre-requisite: Good familiarity with any web framework written in Python.
My Background - I've used Django for almost 4 years (v1.2 to v1.6). In July, 2014 I switched to Pyramid for all the new web apps.
Description - Django makes life of a web-developer very easy because of it's awesome documentation, 3rd party packages and community. And, building pluggable apps in Django is very easy because it's opinionated. But there are some pros and cons of opinionated web application frameworks:

Pro:
An opinionated framework can save time and effort for most of its target market of developers/engineers.

Con:
An opinionated framework can waste a lot of time for some people.

I'll share my experience with Pyramid after using it for 1 year.

I'm working on the presentation and an example project in Pyramid which has a polling app (same as Django tutorial), user authentication, admin, REST API and tests. I'll share it by tomorrow night.

The PyDelhi.org page should have a link to. "Propose a talk" that takes them to https://github.com/pydelhi/talks/issues/new

Session: Deploying your Python Apps using Docker
Meetup: 20th Feb

Marionette is an automation driver for the gecko engine to write UI tests.
With Marionette, one can replicate user actions and control either UI/JS of Gecko platform. This includes both the visible content of the page (content context) or the elements of the menu/ functions (chrome context).

In this talk, I'll be explaining it's usage in Firefox/Firefox OS explaining about Marionette & a little about Firefox Puppeteer. I hope with the basic knowledge of these, people would be able to contribute to Mozilla Firefox.

Pre-requisites:
Basic knowledge of writing and executing test cases using pytest/unittest or any other framework.

Note: Slides would be updated soon.

Have a large codebase and lots of processes to run?

Celery is a very powerful distributed tasks queue which helps your system schedule and executes multiple processes asynchronously.

I plan to introduce the power and scope of Celery to novice/intermediate level Pythonistas.
Since this will be an introduction to celery, I will go with the beginner-level discussion and hands-on:

• List of message transport that we can use for celery.
• Creating tasks and scheduling them.
• Going through the transition through all the tasks happening in the celery.

For people stumbling upon this repo with an intention of proposing a talk a how-to document outlining the process would be very helpful.

This will be a talk on features like revsets, filesets, phases, history editing eatures like evolve, absorb, etc. which are extremely useful for programmers. This will also cover why organisations like Facebook, Mozilla and others uses Mercurial.

Setup a simple data processing pipeline using generators and coroutines with a sprinkling of some pandas goodness.

Invite Sridhar from OpenDaylight to talk about the python app he did for managing . Details will be added soon.

Update:
The people from open daylight would be coming for the 19th meet. Not for the 5th.
Mail sent for getting details, will updated when we get a response.

• What is Random?
• Defining Random?
• Diving into the source code lib/random.py
• Talk Time 20 Mins [For beginners ]
• Here is the link to the slide : https://drive.google.com/file/d/0B3LQS5ZvGd69RjFDNUtWUkMwVVU/view?usp=sharing :)

I am new to the following library Hypothesis and hence wanted to give my first talk on the following topic. Also, I have proposed the same for PyDelhi conf <3

What are Property Based Tests

• Property-based tests make statements about the output of your code based on the input, and these statements are verified for many different possible inputs. A property-based testing framework runs the same test over and over with generated input.

About Hypothesis

• Hypothesis is a new generation of tools for automating your testing process. It combines human understanding of your problem domain with machine intelligence to improve the quality of your testing process while spending less time writing tests. Hypothesis runs your tests against a much wider range of scenarios than a human tester could, finding edge cases in your code that you would otherwise have missed. It then turns them into simple and easy to understand failures that save you time and money compared to fixing them if they slipped through the cracks and a user had run into them instead.

There are always some questions were related to realtime functionality - how it works, how to integrate realtime portion with conventional WSGI applications, how to structure application code and so on. Also with this talk I'd like to put some light on Greenlets and Gevents

This talk comprises of basic introduction to Blockchain and Ethereum dealing with development framework and quick testing environment for Blockchain.

📧 Agenda :

• Blockchain Philosophy
• Bitcoin
• Ethereum
• Difference b/w Bitcoin & Ethereum
• Basic concepts in Ethereum
• Supporting tools for Ethereum
• Developing Framework
• Quick Testing environment for Blockchain

Speaker's Profile :

• Bio : https://amitkumarj441.github.io
• Slide : https://amitkumarj441.github.io/Presentation/Meetup/PyDelhi_17
• Interview at Blockchain Hackathon: https://youtu.be/eXk29vQ0mHQ

Hi! I would like to propose a talk about graph processing in Python using NetworkX library. I would be using some real life graph-data like github followers graph. I think 26th is already taken so would 9th Jan be a good date?

i want to give a talk on next meetup about what i found in python when i started learning. it is basically a talk in which i will differentiate the thing(keywords etc) Which is used in another languages(C,C++,PYTHON). it is very useful for the beginners.

Anyone interested in taking this up?
This talk can include topics like :

1. Cython
2. Swig
3. Python-C-API
4. C-types

I'll be covering the use of telegram bot API from scratch.

• Telegram Bot API
• Making request and sending response to Bot
• Using Telegram-Python-Bot package
• Deploying bot on your smart phone
• Other options to deploy

Speaker's Profile

• Bio - http://shanky.xyz
• Slides - http://slides.com/realslimshanky/tbotpython
• Previous Talk - https://www.youtube.com/watch?v=J6aZlUzxL5w

A lightening talk on Web Crawler using Python and Beautiful Soup.
This talk will involve building a web crawler using python and beautiful soup library. Talk will involve live demonstration for the same. Estimate time for this talk would be 30 minutes.

• This talk will cover:
  1. Why Python doesn't optimize tail recursion.
  2. Tail Call Optimization using some libraries.
  3. Memoization in Python.
  4. Visualization

Will explain the above topics using Fibonacci sequence.

-This talk would be ~30 minutes long.
-The link to the slides will be updated on Thursday.

IronPython is an open-source implementation of the Python programming language which is tightly integrated with the .NET Framework. IronPython can use the .NET Framework and Python libraries, and other .NET languages can use Python code just as easily.
In this 15 minute talk - we'll use an existing .net library with python code.

Don't how python will fit into this, but it would be pretty cool if someone would do this

Hey guys,

I had a proposal at PyCon 2015 (https://in.pycon.org/cfp/pycon-india-2015/proposals/automatic-data-validation-and-cleaning-with-pysemantic/), which didn't get selected. If you don't mind, I'd like to deliver the talk at our meetup on 17th Oct 2015

Hi! I would like to propose a talk about how to get started with PySpark. PySpark is the Python binding for Spark. It is the same spark which claims to run 100X faster than Hadoop for in-memory computations. I will focus on what Spark is all about and the different ways it can be used with Python - scripts/shell/IPython.

Hi! I am proposing a talk for PyDelhi Meetup on Demystifying Python MRO, on 2nd April 2016.

Update:
Slides: http://slides.com/aktech/python-mro/#/

• Title

• Brief description about the content to be covered

• Time required for the talk

• Link to slides / demos / any other content (if any)

• About yourself

• Any comments

Python unittest is an excellent tool to test the python code at unit level and easy to understand every python developer should aware of it

Every text classification problem in NLP is broadly categorized as a document or a token level classification .This talk will be devoted to document classification

I will walk through a classification experiment I coded and will talk about the process and ins and outs of it.

This is a blog I wrote on all this
https://medium.com/towards-data-science/document-feature-extraction-and-classification-53f0e813d2d3#.lzi3u4t29

Code for the talk
https://github.com/ishaan007/vector_space_modelling

• Title

Getting started with Flask and SQLAlchemy

• Brief description about the content to be covered

This will cover Introduction to Flask and SQLAlchemy and to develop a simple data driven web application using these libraries.

• Time required for the talk

About 30-40 minutes.

• About yourself

Hi, I am Bhavesh Anand, B.Tech IT final year student from G.B. Pant University of Agriculture and Technology, Pantnagar.

A lightning talk on Numpy, a Python library widely used for ML.
This talk will proceed from a brief introduction to get started with Numpy, to its application in solving matrices and pictorial representation of Mandelbrot and histograms. This talk would be ~30 minutes long.

I will be briefing about Hadoop, Spark and Big Data mechanism, RDDs, SQLContext, Dataframes. Hands-on with configuration, installation and basic usage of pyspark sql and mllib functions. These topics are extremely useful for programmers who are getting started with Machine Learning and Big Data architecture.

Hi! I am proposing a talk for PyDelhi Meetup on Introducing Metaclasses, on April 30, 2016.

A talk on mock. And how you can use it to improve your test coverage. And create a nice framework for creating tests around your app.

Here's a preview
https://www.overleaf.com/read/kwxjyyvywgfz

• slides
• date finalization

I will walk through the basics of CNN to its implementation on a practical database.