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5th - 6th December 2020
(Virtual 💻)
Keynote Speakers
Anand Chitipotu
Software Consultant & Trainer
Parul Pandey
Data Scientist/ Evangelist at H2O.ai
Paul Ganssle
CPython Core Developer
Prabhu Ramachandran
Faculty Member, Department of Aerospace Engineering, IIT Bombay
Schedule
All the times mentioned in the schedule are in Indian Standard Time (IST) timezone.
5th Dec
5th Dec
6th Dec
6th Dec
Track 1
Track 2
10:45
Opening Note - Day 1
11:05
Keynote
Prabhu Ramachandran
12:10
Managing Operational Knowledge in Feature Stores
Venkata Pingali
Financial Tick Data Analysis with pandas
Yves Hilpisch and Jason Ramchandani
12:45
Memory Management in Python
Jatin Goel
13:15
Lunch Break
14:00
Lightning Talks
14:35
Use of predictive analysis in the world of cricket - Fantasy XI team prediction for IPL 2020
Netali Agarwal
Let's get serious about Kubernetes!
Nabarun Pal
15:10
Distributed Tracing : New DevOps Foundation
Jayesh Bapu Ahire
15:45
Fastapi — it’s like flask but better?
Ruslan Khyurri
Faster Python apps with open source APM
Aravind Putrevu
16:20
A story of Mosquitos, Satellite image and Deep learning models
Ranjan Balappa
16:50
Tea Break
17:00
Keynote
Paul Ganssle
18:00
Closing Note - Day 1
Opening Note - Day 1
10:45
Keynote
Prabhu Ramachandran
11:05
Managing Operational Knowledge in Feature Stores
Venkata Pingali
|
Track: 1
12:10
Financial Tick Data Analysis with pandas
Yves Hilpisch and Jason Ramchandani
|
Track: 2
12:10
Memory Management in Python
Jatin Goel
|
Track: 1
12:45
Lunch Break
13:15
Lightning Talks
14:00
Use of predictive analysis in the world of cricket - Fantasy XI team prediction for IPL 2020
Netali Agarwal
|
Track: 1
14:35
Let's get serious about Kubernetes!
Nabarun Pal
|
Track: 2
14:35
Distributed Tracing : New DevOps Foundation
Jayesh Bapu Ahire
|
Track: 1
15:10
Fastapi — it’s like flask but better?
Ruslan Khyurri
|
Track: 1
15:45
Faster Python apps with open source APM
Aravind Putrevu
|
Track: 2
15:45
A story of Mosquitos, Satellite image and Deep learning models
Ranjan Balappa
|
Track: 1
16:20
Tea Break
16:50
Keynote
Paul Ganssle
17:00
Closing Note - Day 1
18:00
10:45
Opening Note - Day 2
11:05
Keynote
Parul Pandey
12:10
PEG Parser
Aniket Sinha
ML on Decentralized Data using TensorFlow Federated
Usha Rengaraju
12:45
Python and FOSS in Education for Generation Z
Gajendra Deshpande
13:15
Lunch Break
14:00
Deploying ML solutions with low latency in Python
Aditya Lohia
14:35
How to Mock Well in Tests - Traps and Pitfalls When Using Mock and Pytest
Cheuk Ting Ho
CI/CD for AWS Lambda functions
Pawel Piwosz
15:10
Normalizing User-Generated Text Data
Piyush Makhija
15:45
InfluxDb and it’s python client
Saiyam Pathak
FinancePy, a library for Valuation and Risk Management
Dominic O'Kane
16:20
Generators, coroutines, and nanoservices: Understanding and using
Reuven Lerner
16:50
Tea Break
17:00
Keynote
Anand Chitipotu
18:00
Closing Note - Day 2
Opening Note - Day 2
10:45
Keynote
Parul Pandey
11:05
PEG Parser
Aniket Sinha
|
Track: 1
12:10
ML on Decentralized Data using TensorFlow Federated
Usha Rengaraju
|
Track: 2
12:10
Python and FOSS in Education for Generation Z
Gajendra Deshpande
|
Track: 1
12:45
Lunch Break
13:15
Deploying ML solutions with low latency in Python
Aditya Lohia
14:00
How to Mock Well in Tests - Traps and Pitfalls When Using Mock and Pytest
Cheuk Ting Ho
|
Track: 1
14:35
CI/CD for AWS Lambda functions
Pawel Piwosz
|
Track: 2
14:35
Normalizing User-Generated Text Data
Piyush Makhija
|
Track: 1
15:10
InfluxDb and it’s python client
Saiyam Pathak
|
Track: 1
15:45
FinancePy, a library for Valuation and Risk Management
Dominic O'Kane
|
Track: 2
15:45
Generators, coroutines, and nanoservices: Understanding and using
Reuven Lerner
|
Track: 1
16:20
Tea Break
16:50
Keynote
Anand Chitipotu
17:00
Closing Note - Day 2
18:00
Community Partners
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