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.
Important Dates
30 June- Proposal submission deadline25th Jul.: Talk selection announcement8th Aug: Presentation upload15th Aug.: Final review1st Sep: 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
- Python 3k - Features, Python 2 to 3 migration experience, Writing compatible 2 and 3 code
- Web Development - Web Development, API design etc ...
- Standard library - Python Standard library features, usage
- Infrastructure - Automation, Deployment
- Network Programming - Socket programming, Async IO, Twisted, Gevent
- Testing - Unit Testing, Selenium, py.test, Nose
- Security - Web Security, Server Security, Cryptography, Encryption
- Data Visualization and Analytics - Visualizations, Statistics, Big Data
- Scientific Computing - Scientific/Numeric Libraries
- Concurrency - Parallel Processing, Async IO
- Embedded Python - Embedded Python, Device Interfacing, Robotics, Raspberry Pi, Arduino
- Others - Others
- Core Python - Language Features, Python Implementations, Standard Library, Algorithms, C APIs
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
18 44
2. Building an automatic keyphrase extraction system using NLTK in Python
9 26
9. Deploying your python backend with (almost) zero cost
6 21
15. Financial Modelling and Simulation with Python: using Numpy, Scipy, Matplotlib and Pandas
22 107
18. Creating a recommendation engine based on NLP and contextual word embeddings
9 10
19. Open source health monitoring and evaluation systems using python
4 4
20. Concurrency in modern Robots: Introducing the Robot Operating System.
6 13
25. Real time Sentiment Analysis with Apache Storm and Python
Workshops
3 7
1. Building a Lie Detector: Multi-Modal Sentiment Analysis
List of Proposals
1 0
5. From start to finish a restless api in flask without the flask-restless framework.
1 7
6. Measuring Semantic Similarity between sentences in Python
0 1
10. A Sublime Plugin, With Backend Service In Bottle, and Going Live Using OpenShift
3 5
12. Ansible: Python based Next Gen Configuration Management and Provisioning
0 4
20. Managing a distributed, heterogeneous Git mirror network
4 48
25. Creating & publishing custom Web API to mashape API platform.
2 11
27. Python for image analytics (face recognition and other image analytics cases)
2 2
29. Web Scraping using Selenium Webdriver and Data Analysis with Python
1 1
30. Splitting up the monolith; converting a huge django project into microservices
3 7
32. Beat Stock Index Return: use of Technical Analysis, Machine Learning, Sentiment and Back-Testing
0 3
33. CollabFilter - A Python package for clustering items by similarity (Collaborative Filtering).
3 7
43. Embedded visualization - Bring data to life inside your app
0 3
45. Deep Learning fundamentals in Python: Implementing MLPs, Convnets Recurrent Nets and Reinforcement algorithms from scratch
1 9
46. Building Interactive Search Interfaces (aka chat-bots) in Python using Django and TensorFlow
0 12
54. Deploy python applications anywhere (Cloud, Raspberry Pi) using docker
0 27
55. Building a Image Recognition Service with Deep learning and Python
1 6
60. Building scalable and Intelligent IoT Solutions with Python and Azure
1 1
62. Introduction to Machine Learning in Python using Scikit-Learn
2 3
67. Complete IOT solution with raspberry-pi, arduino and a array of sensors.
5 26
70. Plyer: platform-independent Python wrapper for platform-dependent APIs.
0 17
71. Optimizing Deep Convolutional Neural Networks for Speed and Performance
2 3
72. Token based Authentication system using JWT (JSON Web Token)
7 64
76. Data Collection Using Raspberry Pi 3.0 and sensors using Python
6 0
89. Python based REST APIs and their usage across hybrid mobile applications
3 37
110. Attack of Pythons : Gotchas and Landmines in Python
2 13
111. Asyncio and Service Oriented Architecture in Python
2 4
113. Observations from a Python programmer learning Go lang
0 2
114. PyProfound : How to train the best machine learning model with zero lines of code ?
0 11
118. Comparison: AWS vs OpenStack, choose what is better for you
2 2
124. An update on SymEngine, a fast symbolic manipulation library
2 25
125. Think your python code is slow? Learn how to measure and improve the performance
1 3
127. Linguistics 101 - Natural Language Processing in Python with NLTK
2 11