Welcome to PyCon India 2023 CFP
- Join us for PyCon India 2023, the 14th edition of the premier Python conference in India, taking place in the vibrant city of Hyderabad from September 29 to October 2.
- This annual gathering brings together Python enthusiasts, developers, and industry professionals for four days of inspiring Talks, hands-on Workshops, and networking opportunities. Visit the official website for more information: https://in.pycon.org/2023/
Talks
- Talks should be 30 minutes long (including Q&A – 5 mins) and can be on any topic related to Python.
Schedule
- Talks will be there across the morning and evening sessions on September 30, 2023, and October 1, 2023,.
- We may have up to 3 parallel tracks of talks in each session. The morning session will run from 10:00 AM to 1:00 PM. The evening session will run from 2:00 PM to 6:00 PM.
Format
- The format of each talk will be up to the speaker but should include a mix of lectures, demos, and Q&A.
Workshops
Workshops are 3 hrs long interactive sessions where attendees can learn by doing.
Schedule
- Workshops will be held on September 29, 2023, across two morning and evening sessions.
- We may have up to 3 parallel tracks of workshops in each session. The morning session will run from 10:00 AM to 1:00 PM. The evening session will run from 2:00 PM to 5:00 PM.
Format
- Workshops are aimed at beginner, intermediate, and advanced experience-level participants.
- Workshop proposals must include a detailed outline of the covered topics and allocated time.
Important Dates
- CFP for Talks and Workshop closes on August 5.
- Selected Talks and Workshops will be announced on September 4.
What to Propose
Any topics of interest to Python programmers, with a focus on the following:
Lessons learned from using Python in projects, including unconventional and conventional wisdom and advice for similar problem-solving. E.g., I tried Python for video processing or in my medical imaging project, and here are the lessons.
Contributions to improving the Python language/ecosystem, such as creating libraries or proposing optimizations.
Knowledge gained from other languages, like type systems, functional programming patterns, or logic programming.
Thoughts on tech culture, diversity and inclusiveness, the physical and mental health of programmers, productivity improvement, workplace issues, and their impact when using Python.
Alternatively, consider offering teaching sessions on niche topics, recent technologies, or scientific papers, even at a beginner level.
Rehearsals
Shortlisted speakers will be expected to participate in rehearsal sessions. We will conduct Rehearsals via teleconferencing, where the speaker shall give a mock run of their talks in a time-bound manner.
The audience will include volunteers, reviewers, and possibly other speakers. We will give feedback to speakers if necessary.
This exercise aims to ensure speakers are ready with their talks beforehand. And also to ensure they can finish the talk within the stipulated time. It is also helpful for the speakers to get feedback on the content delivery and presentation.
Participation in the rehearsal sessions is likely to be required - chances of an unrehearsed talk making it to the final stage are substantially lower.
Diversity
We in the Python community believe in making our community more diverse. This suggests that we encourage content from diverse walks of life and also want to improve participation from under-represented groups.
Our goal is to maximize content from under-represented groups. You can help us by encouraging your friends, family, and colleagues to submit talks. You can also help by mentoring.
Also, note that we have a strict code of conduct. In intent and practice, we are committed to making the conference a pleasant, welcoming, and harassment-free experience for everyone, especially for under-represented groups.
Speaker Best Practices
We've compiled a set of detailed best practices - take a look.
Questions?
Ping us on Zulip. In addition to it, you can reach out to CFP volunteers:
- Soumendra Kumar Sahoo, CFP Lead – DM on Zulip
- Dr. Murali, CFP shadow lead - DM on Zulip
Proposal Sections
- Developer tools and automation - Tools and practices for automating development workflows and enhancing productivity like DevOps, Testing, CI/CD, Containers, Orchestration, Logging, and Monitoring, Selenium
- Concurrency - Approaches to concurrent Python programming using multiple threads like Multiprocessing, Multithreading, Async
- Core Python - Focused on understanding and mastering fundamental Python concepts and syntax like Documentation, Python Libraries, Language Features & Internals, Python Implementations
- Culture and Society - Exploring cultural aspects and societal influences like Diversity, health, life, education, productivity, workspace issues, community, coding for causes
- Ethics and Philosophy - Examination of ethical considerations and philosophical questions in technology like Govt. Policies, Responsible AI, Privacy and Bias.
- Others - Other topics not explicitly covered in the above sections like Quantum Computing, Storage, etc.
- Cloud Computing - Using Python to leverage cloud-based services and infrastructure like Cloud services (AWS, GCP, Azure, etc.) for Python, IaaS for Python.
- Blockchain - Understanding and developing blockchain systems and Web3.0 using Python.
- Distributed Computing - Techniques for processing data across multiple machines or processes using Python like PySpark, Dask, Distributed ML (Horovod), MPI (Message Passing Interface).
- Embedded Python and IOT - Using Python in embedded systems and Internet of Things (IoT) devices like MicroPython, Python on Hardware, Robotics, Arduino, and Raspberry Pi.
- Desktop Applications - Design and implementation of applications for desktop environments using Python like Qt, GTK+, Tkinter, Gnome, KDE.
- Web & App development - Building interactive websites and mobile applications using Python like APIs, REST, GraphQL, PyScript, Django, Flask, FastAPI, Kivy.
- Networking and Security - Concepts and practices for secure, efficient networking using Python like Network Programming, Network Security and Encryption.
- Game Design and 3D Modelling - Creation and manipulation of 3D models, AR/VR and principles of game design using Python.
- Scientific Computing - Using Python to solve complex scientific and mathematical problems like Python usage in scientific computing and research. GIS, Mathematics, Simulations.
- Data Science, AI & ML - Exploration and implementation of data science techniques, artificial intelligence, and machine learning algorithms using Python like Generative AI, Data Analytics & Visualisation, Data Engineering, Speech Processing, NLP, Computer Vision, MLOps and Others.
Proposal Types
- Workshops - Workshop is a 3 hr interactive session where attendees can learn by doing. Workshops can have one or more facilitators.
- Talks - Talk is a 30 minute presentation on a specific topic related to Python.
Selected Proposals
Talks
0 5
1. Data Encoding Formats: A Comparison of Text-Based and Binary Encoding
0 1
2. Harnessing the Power of Django StreamingHttpResponse for Efficient Web Streaming
0 1
3. The programmers guide to timestamps and timezones
0 9
4. Architecting Scalable Python micro-services with GraphQL: Valuable Lessons and Best Practices
Workshops
0 4
1. Let's have fun building APIs with Starlette: The Asynchronous Python Web Framework
1 2
2. Building Multi-Tenant applications with Django and Django-Tenants
Web & App development
0 3
2. Having an interesting idea about product? Create MVP with Django within weekend!
1 0
3. Demystifying Process and Worker Models in Python Web Frameworks
0 11
5. FastAPI: A Paradigm Shift in Python Web Development
0 0
6. Django: From zero to deploying on your own server with or without Docker
0 2
7. API lifecycle in Open Source Projects feat. Dapr
0 11
8. Breaking Down Microservices: A Python Developer's Guide (Best Practices and Lessons Learned)
0 0
9. Hybrid Full-stack Web Development in Record Time with Frappe Framework
0 48
10. 🚀 Unlocking Performance in Large-Scale Systems: Explorations with MongoDB
0 15
12. Designing Robust Celery Task Workflows for Python Applications
0 8
13. Data Validation & serialisation in Flask: Integration of Pydantic with Flask using Flask-Dantic
0 6
14. Rhinestone: Simplifying API Documentation and API Testing Across Every Tech Stack
0 6
15. From Design to Deploy in 1 Minute: DazzlePy's Instant Backend Alchemy
0 4
16. From Zero to Backend Hero: Creating Full-Featured Apps with Flask/FastAPI
0 4
17. Robyn: An async Python web framework with a Rust runtime
0 1
18. Supercharge Your Django Apps: Unveiling Performance Secrets with the Magic of Django Silk!
0 0
19. Creating performant and scalable microservices with gRPC and protobuf
0 1
20. Importance of Validations and Sanitization in Web Development
0 1
21. Tuning Data Transport in python web applications
0 0
23. Crafting Agile Flask Applications: Architecting for Scalability and Flexibility
0 1