PyCon India, the premier conference in India on using and developing the Python programming language is conducted annually by the Python developer community. It attracts the best Python programmers across the country and abroad.
Guidelines
- Proposal should have objective with clear expectation for audience.
- Proposal description should be short and to the point.
- Proposal should have proper prerequisites like environment setup, library version.
- No proposal will be selected without link to appropriate session content like presentation, pdf, code snippets etc ...
- Proposal content links can be updated later.
- Proposal content should adhere to code of conduct.
- Proposal content shouldn't have company name through out the content. Mention of employer is allowed only in the beginning of the content (presentation/pdf).
- Background image/wallpaper shouldn't contain company name/logos.
- Selection/Rejection about talks will notified via email.
- For any questions, please write to contact@in.pycon.org.
Note: If your proposal isn't displayed, you must have saved in draft mode. Edit your proposal to make it public.
Proposal Sections
- Core Python - Language Features, Python Implementations, Standard Library, Algorithms, C APIs
- Embedded Python - Embedded Python, Device Interfacing, Robotics, Raspberry Pi, Arduino
- Concurrency - Parallel Processing, Async IO
- Scientific Computing - Scientific/Numeric Libraries
- Data Visualization and Analytics - Visualizations, Statistics, Big Data
- Web Development - Web Frameworks, Restful Interfaces
- Security - Web Security, Server Security, Cryptography, Encryption
- Testing - Unit Testing, Selenium, py.test, Nose
- Network Programming - Socket programming, Async IO
- Python 3k - Features, Python 2 to 3 migration experience, Writing compatible 2 and 3 code
- Infrastructure - Configuration management, Automation, Cloud Infrastructure, Continuous Integration
- Others - Others
Proposal Types
- Talks - Talks are focussed on a topic for 40 minutes.
- Workshops - Workshops are in depth hands on session for 2 hours and 30 minutes
Selected Proposals
Talks
3 3
1. SymEngine: The future fast core of computer algebra systems
1 2
2. Introduction to nipype and how do we create flexible NeuroImaging pipelines using it.
1 28
3. Analyzing arguments during a debate using Natural Language Processing in Python
Workshops
Scientific Computing
2 13
1. Making a contextual recommendation engine using Python and Deep Learning at ParallelDots
1 4