This is the list of all submitted talk proposals. Please share the talks you’re interested in attending at PyCon JP 2016 on social media using the share buttons on the talks detail page. We will take the amount of interest shown for proposals into consideration when selecting the talks.
As startup game makers, many people might be able to build a workable mobile game service, but have no experience in building a stable, reliable, high performance mobile game service due to some reasons such as race condition and lack of caching.
We will introduce how we built a commercial game server by showing the essence of Python code and Flask usage from VOEZ game server.
People have been talking about how easy it is to use python to analyze data. However, there are still difficulties for beginners to get a sense of how to use it. In this talk, I will go through a simple stock analysis system and break the entry barrier for the beginners.
The world is swimming in articles and books about Django and Django ORM itself. All this sources cover only basic use cases of Django ORM comparing to real world examples.
This talk is dedicated to the proposition to crash test Django ORM 80% of functionalities in 20% of the time.
REST is the architectural style of the API and it is next big thing after SOAP messaging.
Bottle is the simple, proven and one of the most popular frameworks for web development. We are using Bottle framework with REST APIs for python web programming.
In this talk we'll explore how to use the new Python 3 asyncio library to automate hardware-software integration tests for industrial automation. We will find out how asynchronous coroutines can simplify and speed up distributed tests in real world environments, and what possible difficulties to watch out for.
Stock trading using algorithms has become far more accessible to programmers. However managing deals, orders and trades is another key part to trading. In this talk I will demonstrate methods of how to use HTTP POST and GET commands to interface to a sandbox trading site.
I've been doing research in edtech and blended learning for two years and find out python is great super power in this area, in this talk I want to share how to design and implementing blended learning and how we can use python for data mining.
What if we could combine bots, machine learning, artificial intelligence, and open source projects for building a personalized assistant in a simple way with Python? In this talk, we will discuss the infinite possibilities of personalized assistant features which could be developed for assisting daily lives.
今回紹介するツール「Hecatoncheir: The Data Stewardship Studio」はデータマネジメントのためのOSSのツールです。
It may look like a difficult task, but auto-correct a lot of multiple choice tests with Python can be very easy! With that objective in mind, we will learn how images are stored in a computer, how to work with arrays in Numpy, how to plot graphics easily with MatPlotLib an a couple of useful functions of computer vision from OpenCV.