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
- 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 links can be updated later.
- Proposal content should adhere to code of conduct.
- 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.
- Selection/Rejection about talks will be notified via email.
- For any questions, please write to contact@in.pycon.org.
Important Dates
31st August- Proposal submission deadline14th September.: First round Internal Talk selection announcement21st September: Presentation upload1st October: Final review and Final announcement
Note: If your proposal isn't displayed, you must have saved in draft mode. Edit your proposal to make it public.
Proposal Sections
- Security - Web Security, Server Security, Cryptography, Encryption
- Testing - Unit Testing, Selenium, py.test, Nose
- Network Programming - Socket programming, Async IO, Twisted, Gevent
- Infrastructure - Automation, Deployment
- Web Development - Web Development, API design etc ...
- Standard library - Python Standard library features, usage
- Data Analysis and Visualization - Data Analysis and Visualization
- Scientific Computing - Scientific/Numeric Libraries
- Others - Others
- 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
- Python 3k - Features, Python 2 to 3 migration experience, Writing compatible 2 and 3 code
Proposal Types
- Workshops - Workshops are in depth hands on session for 2 hours and 30 minutes
- Talks - Talks are focussed on a topic for 40 minutes.
Selected Proposals
Workshops
26 141
4. Pyspark - Big Data applications using Python and Spark
Talks
4 9
1. Visualising the world of competitive programming with Python
3 6
2. Geospatial data science and analysis using ArcGIS API for Python
Data Analysis and Visualization
2 1
7. Python for fun and profit - quite literally. Identifying Investment Opportunities using Python.
3 3
14. Dimensionality Reduction and Principal Component Analysis
2 4
15. Text Generation using Recurrent Neural Networks
5 48
16. Big Data Analytics Using Apache Spark On IOT in Industrial way
0 4
17. Building sophisticated data visualization web-apps with Dash and Python
0 32
18. Python Data Visualization for data scientists (and software developers)
0 28
19. A practical walkthrough from Classification network to Semantic Segmentation, let's do this one pixel at a time.
0 39
21. From Reading CSV to Baseline Submission in 10 minutes. Hackathons unfolded.
2 13
24. Data manipulation and Machine Learning in Python with Scikit-learn ,Numpy and Pandas
2 4
27. Navigating the Python Ecosystem for Data Science
15 24