Selected Talks for PyConf Hyderabad 2017 have been announced. Please Check the Confirmed Proposals section for the Selected Talks
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 email@example.com.
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
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.
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.
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.
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
- Scientific Computing
- Cloud computing with Python
- 31st August, 2017 : Deadline for Proposal Submission
- 16th September, 2017 : Talk selection and announcement
PPTGen - Data-driven powerpoints for automated narration
Microsoft PowerPoint (PPT) is a robust tool in the enterprise domain to create business presentations, design visualizations and narrate data stories. Despite an extended list of support for objects, not all data visualizations are supported natively in PPT. PPTGen is a platform independent, powerful library to create/modify powerpoint objects and create PowerPoint presentations based on customer datasets.
Web dashboards built on real-world data in the enterprise world are a ubiquitous solution to present use cases via business presentations across all hierarchies in organizations. Each dashboard view, generally, presents a group of visualizations which present a data story. Usually, screenshots of different dashboard views are created by hand or an automated approach which are then stitched together for an important meeting. This approach has several limitations: screenshot resolution, inability to edit the chart objects and manual effort. PPTGen automates this process.
Each powerpoint (PPT) is a group of XML objects which can be modified programmatically to suit a business need based on a specific dataset (flat file or remote/local database). Here, to create a new data visualization or modify an existing PPT-supported chart template we modify the native PPT object properties according to the data.
PPTGen is a library that is platform independent (Windows, Unix supported machines, Mac OS) and creates spotless data-driven powerpoints. This is accomplished using python, python-pptx, Tornado -- a template engine. A YAML configuration file drives the process where data attributes can be defined and tagged to specific identifiers of different PPT objects.
I work as a data scientist at Gramener and part of the product/CTO team. Previously, my work on election sentiment analysis won me a silver medal at SRM university in 2014.