Part 1 – Digitizing documents with powerful python libraries So.. in the digital era you suddenly realise that until very recently not all valuable information kept is/was machine friendly, there are tons of word and pdf documents with reports, meetings minutes, contracts and so-on waiting to be re-discovered. With python libraries PdfMiner, PyPDF2 among others,…

Introduction of super resolution with deep learning techniques. Super resolution is a technique which serve low- resolution image as input and outputs high-resolution images. How to preserve edges and restore detail information in the high-resolution image is very important. In this talk, we will discuss the developments of super resolution, especially methods using deep learning…

Apache Kafka is widely used in large scale message processing applications. However, build a (job|task|work) processing system with Kafka is not straightforward. The talk will share experience on building a heterogeneous Job processing with Kafka and Python. The mentioned job processing mechanism can be made use of to several scenarios, e.g., cloud resource provisioning, tiering…

Machine learning is now widely used in different applications. In some cases, it is sufficient to generate batch results using machine learning models in an offline manner. However, in other cases, models must be deployed online in a production environment, such that end users or other system components can benefit from the real-time outputs of…

This talk is to encourage audiences start solving problems in their everyday’s life by building IoT systems with Python, Raspberry Pi and sensors. The technologies being used in the project of this talk is not difficult, but when every pieces of technology comes together, we can create something that actually helps. Agenda: 1. Demo video…

The objective of the talk is to provide an introduction of how artificial intelligence could be applied in stock trading. This session will introduce how to use Python to extract historical open-high-low-close (OHLC) data, perform data processing, recognise patterns in the stock market with artificial intelligence algorithms and eventually backtest the strategy.  The talk will…

All apps need secrets – it could be passwords, API key or cert. We need tons of secrets to do our Dev job, and at the same time, make us as potential suspects during data breaches or cyberattacks. It is totally unavoidable, until now. In this session, 2 open source projects, Conjur & Secretless, will…

Deep learning is a booming machine-learning technique which we often read in a lot of articles nowadays. Deep learning sounds like an intimidating concept for a lot of people, but everyone believes that deep learning is a cutting-edge tool to solve a lot of problems. In this talk, we will see how Python and various…

From Python 3, type hinting was prompted. Thanks to this, static type analysis is now available in Python’s world. It is possible to use this mechanism with mypy, intellij etc. In this session we will learn about type hinting in Python 3.5 / 3.6/ 3.7. Next, learn how to use static type analysis using mypy….

Grasping other person’s emotions or sentiments through texts is challenging even for humans sometimes. I bet you also have an experience that once you were reading someone’s message multiple times to figure out, “Is he/she upset? Or am I too sensitive?” Despite the difficulties, figuring out emotion or sentiment in texts is crucial nowadays, due…