pyconfhyd

PyConf Hyderabad 2017

PyConf Hyderabad

Selected Talks for PyConf Hyderabad 2017 have been announced. Please Check the Confirmed Proposals section for the Selected Talks

Guidelines for Proposal Submission

Following are the guidelines for proposal submission

  • Please mention type of Proposal as given below in the Title of the Proposal.
  • The proposal should have an objective with clear expectation for the audience.
  • The Proposal description should be short and to the point.
  • The proposal should have proper prerequisites like environment setup, library version.
  • No proposal will be selected without a link to appropriate session content like presentation, pdf, code snippets etc.
  • Proposal content should adhere to code of conduct.
  • Proposal content links can be updated later.
  • Proposal content shouldn’t have a company name throughout the content. Mention of the employer is allowed only at the beginning of the content (presentation/pdf).
  • Background image/wallpaper shouldn’t contain company name/logos.
  • For any questions, please write to contact@hydpy.org.

Proposal Types

We have three kind of Proposals - General Talks, Lightning Talks and Workshops. Please mention the Proposal type in the Title of the Proposal. Give a Title like Proposal Type : Proposal Title

General Talks

These are the traditional talk sessions scheduled during the first day of conference. They will be conducted on Day 2 of Conference, Sunday, 8th Oct. The length of these tracks are 45 minutes.

Lightning Talks

These are short length talks that will be conducted on Day 2 of Conference, Sunday, 8th Oct. The time limit is 5 minutes. But we can extend it depending on number of talks submitted.

Workshops

As with the talks, we are looking for Workshops that can grow this community at any level. We aim for Workshops that will advance Python, advance this community, and shape the future. Each session runs for 6 full hours plus a break for lunch. There will be 2 workshops going parallely on Day 1 of Conference, Saturday, 7th Oct in the same venue that hosts the main conference. Workshop I is aimed for Begineers while Workshop II is a Advaced Session aimed for Professionals.

Themes and Topics

These will be the themes and topics

  • Core Python and Python 3 features
  • Concurrent and Asynchronous programming in Python
  • Data Science and Analysis
  • Web Development
  • Python and IOT
  • Functional Programming
  • Artificial Intelligence
  • Continuous integration and Deployment
  • Testing
  • Scientific Computing
  • Cloud computing with Python

Important Dates

  • 31st August, 2017 : Deadline for Proposal Submission
  • 16th September, 2017 : Talk selection and announcement

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Bhanu

@bkamapantula

Automated data analysis and text narratives

Submitted Aug 31, 2017

Technical level: Intermediate

Autolysis is a domain-agnostic solution that solves pattern-based behavioral problems. At its core, Autolysis uses Groupmeans -- a statistical technique that is designed to identify the impact of groups over metrics or vice-versa. An open source version with a friendly license is hosted at https://github.com/gramener/autolysis and a web interface is available upon request. Text narratives that augment the statistical analysis forms a key aspect of interpreting results in a business context. I will discuss the challenges in setting up the technology stack and building a narrative engine using templates and retaining necessary context.

Outline

Problem

What do these questions have in common?

  1. Which of my channels is fetching me the most viewership? -- Media
  2. Which segment of customer will most likely want to buy expensive watches? -- Retail
  3. How is the customer demographics impacting the loan repayment? -- Banks

All the questions fall under a similar pattern of questions: what is the impact of a metric on a group or vice-versa. Autolysis is a domain-agnostic solution Gramener built to solve pattern-based behavioral problems and where minimal human intervention is necessary to interpret the analytical results.

Technology stack

I will discuss the technology stack setup behind Autolysis web version which is built using Gramex -- a Gramener data and web server which is stacked on python -- and web sockets.

Text Narratives

Text narratives which retain insights, context, statistical relevance and augment the data analysis are an important aspect of explaining results. I will discuss the challenges involved in automating data analysis and smart text narration.

Requirements

No hardware/machines required

Speaker bio

I am interested in how automation impacts our daily lives. I work at Gramener as data scientist post my PhD at the Virginia Commonwealth University and a short post-doc at the University of Wisconsin-Madison.

I am interested in civic technology, automated learning, mapping for humanity, data journalism.

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