Conferences / PyCon (national Python conferences)
PyCon India 2019
Oct 12–15, 2019 · Chennai Trade Centre, Chennai, Tamil Nadu, India
- Conference
- PyCon (national Python conferences) Data science & ML
- Dates
- Oct 12, 2019 – Oct 15, 2019
- Venue
- Chennai Trade Centre
- Place
- Chennai, Tamil Nadu, India
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- in.pycon.org
- Recorded
- 42 sponsors · 61 speaker appearances
- Notes
- 11th PyCon India. Conference 12-13 Oct at Chennai Trade Centre; workshops (14 Oct) and dev sprints (14-15 Oct) at IITM Research Park. All tickets sold out. Speakers: keynotes plus all talks in the schedule table on the 2019 site (speaker names as shown, some first-name-only; group entries split); affiliations not shown in the schedule (keynote affiliations from the keynote cards). Workshops not listed by title. Three talks were sponsored talks (AQR, Indeed, Microsoft). One Silver logo whose alt text repeats 'Guvi' links to zeomega.com and is recorded as ZeOmega. Talk videos: YouTube playlist PL6GW05BfqWIfsflQt05LM3FTX6cd7PGps.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Devsprints (14-15 Oct) | ₹150 | — | GST applicable | in.pycon.org |
| Workshop (morning or afternoon, 14 Oct) | ₹750 | — | GST applicable; per half-day workshop | in.pycon.org |
| Student (conference) | ₹1,000 | — | GST applicable | in.pycon.org |
| Early Bird (conference, 12-13 Oct) | ₹1,100 | — | GST applicable | in.pycon.org |
| Regular (conference) | ₹1,600 | — | GST applicable | in.pycon.org |
| Late Bird (conference) | ₹2,000 | — | GST applicable | in.pycon.org |
| Contributor (conference) | ₹5,000 | — | GST applicable | in.pycon.org |
Sponsors 42
Platinum 3
Gold 10
Silver 14
Bronze 12
- AirAsia · Associate
- ATONARP · Associate
- CPPSecrets · Associate
- Grofers · Associate
- Instazen · Associate
- KLA · Associate
- Maho Jase institute of Technology · Associate
- MavenHive · Associate
- Real Python · Associate
- Reckonsys · Associate
- Toyota · Associate
- Zilogic Systems · Associate
Other 3
- Sticker Mule · In-Kind
- Townscript · Partners
- Xapo · In-Kind
Speakers and talks 61
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| David Beazley | — | Keynote | — | — |
| Devi A S L | Razorpay | Keynote | — | — |
| Ines Montani | Explosion | Keynote | — | — |
| Jake VanderPlas | Keynote | — | — | |
| Abdul Majed | — | Talk | Machine Learning Bias | — |
| Abhijit Gadgil | — | Talk | Call, Raise or Fold - Python for Simulating Poker Games | — |
| Abhisar | — | Talk | Accessibility of Python and Data Science | — |
| Abhishek Mishra | — | Talk | Rest in peace REST. The rise of GraphQL | — |
| Abinash Panda | — | Talk | Global macro trading strategy using PGM(pgmpy package) | — |
| Adam Shamsudeen | — | Talk | IndicNLP - An open data platform to bring Indian languages to the advancements of NLP. | — |
| Akilesh Ramasamy | — | Talk | Python based simulation and treatment planning in Craniofacial Surgery: Advances and Challenges. | — |
| Amulya Bandikatla | — | Talk | Indeed's Endeavor to "Push on Green" | — |
| Anand S | — | Talk | Maps, Delimitation, and Gerrymandering with Python | — |
| Anirudh | — | Talk | "Smart lock? Nah dude.": Pwning a smart lock with Python | — |
| Anisha Swain | — | Talk | Performance optimization with Python-Elasticsearch | — |
| Anitha | — | Talk | Building GraphQL API with Django | — |
| Ankit Mahato | — | Talk | Real World Numba: Taking the Path of Least Resistance | — |
| Ankit Mahato | — | Talk | Deploying Machine Learning Models at the Edge | — |
| Anomit Ghosh | — | Talk | How we built a State Machine to keep up with a 1200+ Txs/second blockchain protocol | — |
| Anubhav Kesari | — | Talk | Advance ML - On Improving Performance of Machine Learning Models by Optimizing Hyper-parameters | — |
| Arjun Kathuria | — | Talk | How i hand-coded core Machine learning Algorithms from scratch in python, what i learned, and why you should too. | — |
| Arun Chaudhary | — | Talk | Demystifying Docker for Devs | — |
| Ashish Dantu | — | Talk | Creating 3D Environments | — |
| Ashish Sahu | — | Talk | Visual Studio Code + Python = Awesomeness ! | — |
| Bargava Subramanian | — | Talk | Anomaly Detection in Cyber Security for IoT using Federated Learning | — |
| David Beazley | — | Talk | Build Your Own Async | — |
| Dr. Matthew Honnibal | — | Talk | spaCy PyTorch Transformers | — |
| Harshinee Sriram | — | Talk | Entering the world of Serious Games with Python | — |
| Jaidev Deshpande | — | Talk | Natural Language Generation with Python | — |
| Krishna "Chrys" Kattirisetti | — | Talk | Fintech - A Practitioner's Perspective | — |
| Kurian Benoy | — | Talk | Machine Learning Model and Dataset Versioning | — |
| Lalit | — | Talk | Scaling up Data Pipelines using Apache Parquet and Dask | — |
| Navin Pai | — | Talk | A Pythonista's Approach to DeepFakes | — |
| Nick Doiron | — | Talk | Geospatial API with Python and PostGIS | — |
| Nirant Kasliwal | — | Talk | How we are building Smart Reply for Chat | — |
| Pradyun Gedam | — | Talk | Python Packaging - where we are and where we're headed | — |
| Raghav | — | Talk | "Smart lock? Nah dude.": Pwning a smart lock with Python | — |
| Rahul Jha | — | Talk | Using Vulture to improve used-to-unused code ratio of your Python Programs | — |
| Rajat Vadiraj Dwaraknath | — | Talk | Generators Explained | — |
| Rishab | — | Talk | Accessibility of Python and Data Science | — |
| Sadhana Srinivasan | — | Talk | Python is NOT easy - lessons from SymPy's codebase | — |
| Sagar Bhanudas Joshi | — | Talk | Visual Studio Code + Python = Awesomeness ! | — |
| Sanchit Balchandani | — | Talk | Demystifying Docker for Devs | — |
| Sanket | — | Talk | Let's Hunt a Memory Leak | — |
| Satish Chandra Gupta | — | Talk | Building, testing and profiling efficient micro-services using Tornado | — |
| Shakul | — | Talk | Accessibility of Python and Data Science | — |
| Shivashis Padhi | — | Talk | Demystifying Web Map Servers: the invisible side of Geographic Information Systems | — |
| Sonam | — | Talk | Solving Industrial Problems with Machine Learning and image Processing | — |
| Srikar Mutnuri | — | Talk | Exploring Augmented Reality with Python | — |
| Srimathi H | — | Talk | Practical introduction to Graph DBs, Graph Traversals in Python | — |
| Sukanya | — | Talk | Machine Learning for IoT at the Edge | — |
| Sunil | — | Talk | Accessibility of Python and Data Science | — |
| Suriyadeepan Ramamoorthy | — | Talk | Pyro Demystified: Bayesian Deep Learning | — |
| Tanay Agrawal | — | Talk | Advance ML - On Improving Performance of Machine Learning Models by Optimizing Hyper-parameters | — |
| Usha Rengaraj | — | Talk | Lifting Up: Deep Learning for Implementing Anti-hunger and Anti-poverty Programs | — |
| Usha Rengaraju | — | Talk | Global macro trading strategy using PGM(pgmpy package) | — |
| Vaibhav Srivastav | — | Talk | Demystifying Natural Language Processing using Python (Scikit-Learn / Keras) | — |
| Vikrant Patil | — | Talk | Ragabot - Music Encoded | — |
| Vinay Keerthi K T | — | Talk | Micropython: Building a Physical Inventory Search Engine | — |
| Vinayak Mehta | — | Talk | Extracting tabular data from PDFs with Camelot & Excalibur | — |
| Vivek Kumar Singh | — | Talk | Serverless with OpenFaaS and Python | — |