Data preparation takes up to 80% of time for a Data Scientist role. Nonetheless, it is still a necessary step to identify and fix errors, duplicates and irrelevant data and run effective analysis. In this talk, I will talk about how data preparation could be made easy with AWS Python SDK for Pandas, an open-source…
What if…Python + Azure
Python. Azure. Innovation. It’s more than a linear path. It’s a prism of endless possibilities where a single choice can branch out to limitless innovation with Python. In this session, Eason will be the mastermind to showcase different use-case scenarios of implementing Python in various industries and domains. Join him to discover the new possibilities…
Django Apps at Scale: Mistakes to Avoid
History I started using Python when I was in school and kickstarted my development with Django in 2018 with Django. To enhance my experience and learnings in Django I also interned at an Infrastructure as Code Platform StackGuardian. It’s an OpenSource robust and scalable Project built with Django. I & the Team wrote everything from…
Healthcare by a Pythonista
Leverage Python for Healthcare Applications for Accelerated Data Discovery. Every Human Body is different. Similarities are in the patterns of demographic, environmental factors & habits. The need for today is to have customized Health Profiling & Diagnostics for so many chronic & complex health issues. Being a Python coder, I saw this pain point closely…
How Python is applying in Architecture, Engineering & Construction Industry
It is well-known that Python is normally using in developing software, automating task, data analysis & data visualisation. However, the application of Python in AEC has becoming popular thanks to the technological advancement and open source software. Architecture Designers and Engineers are start using visual programming with Python to create their design with higher efficiency….
Managing R and MATLAB GUI environments in Jupyter
You probably know it is possible to write R and MATLAB notebooks in Jupyter , but did you know you can run their graphic user interface through Jupyter? This talk shows you how to do so through the use of jupyter-server-proxy, particularly in a multi-user JupyterHub setting. If you are willing to do a bit…
Taking machine learning models to production using Python and FastAPI
The talk will focus on building a FastAPI application to serve simple NLP and object detection models aimed for production use-cases. Beginning with a brief introduction to building servers using Python covering the basics for beginners, then exploring/discussing alternatives to using REST (such as gRPC), and finally a live coding for building out the application…
Healthy Machine Learning: From Theory to Practice
Cluster analysis is a machine learning technique designed to group similar objects or data points together. It has wide applications from customer segmentation to the development of recommendation engines. This talk will cover the basis of clustering and offer a practical guide on how to implement it. There’s a saying that 80% of a data…
Airflow v2 – Using Airflow to manage ETL workflows
In this talk, MJ will share his experiences of translating a traditional scripted workflow to using Airflow as a framework, and introduce some tips and common gotchas for Airflow. Date and Time : October 29, 2022 / 11:45-12:15 ( UTC+8 ) Language : English Speaker : Mr. MJ Tung / ActusRayPartners / Hong Kong Speaker…
Exploration of MySQL Operator for Kubernetes in Python
MySQL Operator is written using Python- https://github.com/mysql/mysql-operator/tree/trunk/mysqloperator, for those interested in Kubernetes/Container deployment for MySQL and application, you can join us to explore the operation and how MySQL operator work Date and Time : October 29, 2022 / 11:45-12:15 ( UTC+8 ) Language : English Speaker : Mr. Ivan Ma / Oracle / MySQL /…