This talk is a brief introduce about the main problem when developing a trading strategy.
It would also show some solutions to the problem mentioned above, and would give some brief examples how we implement it by Python.
I will show you how we realize Service Oriented Architecture(SOA) in real life.
SOA is an approach to create a system based on small servers separated for small functions. We've used Django and DjangoRestFramework to create it and Sentry, NewRelic and Rundeck to monitor it. You can learn way to realize it (and what happened).
土曜日
11:30 a.m.–12:15 p.m.
in
国際会議場/Conference Hall
gRPC is a new high performance, open source, general RPC framework that uses the HTTP/2 standard. Kubernetes is a cluster manager that allows you to create services that can be scaled easily. In this talk I will talk about how to use Python to create a scalable gRPC service and then how to actually manage and scale it using the Kubernetes cluster manager.
Using Cloud TTS (Text-to-speech) technology, such as Google Translate, iSpeech ... etc, and simple Speech-recognition technology, can be made to establish a method to create a Speech-text Synchronization file from original text-only file, that file can be used to show time-aligned high-light text like karaoke, which are very useful for language learning purpose.
A barrier to wider adoption of the semantic web is scaling SPARQL endpoints for large Linked Datasets. A promising approach, Linked Data Fragments, allows for small queries instead of complex SPARQL. This talk is about a Python-based Linked Data Fragments Server project using the new Asynco Python module and Redis. Testing is being done with datasets from the Library of Congress and the DPLA.
Nobuko Katayanagi, Maaya Ishida, Yumi Hashizume, Ai Makabi in Community
発足一周年のPyLadies Tokyoの活動紹介とPyLadies Tokyo としておこなった初のワークショップについてご紹介します。GithubとSlackを使った準備、Tornadoを使ったチャットプログラムの作成、当日のPC準備、ワークショップの内容とその反応をご紹介します。当日使ったチャットプログラムのデモもおこないます。
What can we learn from Erlang for building reliable high concurrency services in Python? This talk will shows some techniques used in Erlang and how they can be used to solve problems in a more efficient way in Python. It will also discuss how Python could evolve accordingly.
Data Structures is traditionally a “bogeyman” discipline in Computer Science courses and has a high degree of failure. In FATEC São José dos Campos we are adopting a hybrid approach, with C and Python languages. The failure rate decreased from 85% (2008) to 10% (2015). The talk will be extensively illustrated with code in C and Python, addressing the various concepts taught in this course.
This section illustrates the pandas internal design, and how to get the most out of it focusing on memory efficiency and optimizing performance. pandas is one of the most widely used scientific package which supports varieties of data manipulations. I introduce some design detail such as internal data structure and algorithm, and how to use pandas more efficient and optimized ways.
Learn how do computer and Python work under the hood. Learn how to find out bottlenecks in your code and how to get rid of it with or without external library.
A set of 18 demo programs from Python Turtle module were translated into traditional Chinese (tc) to demonstrate semi-automatic translation of Python-3 programs into non-English languages. By this way, it is possible to generate many Python programs in learners' native languages to help younger learners without English proficiency learn Python more quickly.
Web publishing originally consisted of static HTML and CSS assets, but the database-backed content management system soon became the dominant web publishing model. In recent years, there are signs that this trend is being reversed. This talk investigates the rise of static site generators and discusses how these light-weight tools can often offer significant benefits over the traditional CMS.
