• Title/Summary/Keyword: python

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PyStudy : Python based Self-Study Helper Software (PyStudy : Python 학습 도우미 소프트웨어 개발)

  • Jo, YeongChang;Kim, HyeHyeon;Kim, HoonSik;Han, SeongUk;Lee, Hyung-Woo
    • Journal of Internet of Things and Convergence
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    • v.2 no.1
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    • pp.41-48
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    • 2016
  • The Korea Internet of Things Society. In this paper, we developed 'PyStudy' system as a python based self-study helper software. Proposed PyStudy system is consisted with several components such as PyStudy console, self-study window, helper and self-coding window. User can refer helper function to find questionable python libraries at on-line connection quickly. And self-progress checking on python study also provided on integrated PyStudy IDE software. The PyStudy software provides the information necessary to learn the Python language efficiently. Proposed software can be applicable to an advanced Python language education course.

Performance Comparison of Python and Scala APIs in Spark Distributed Cluster Computing System (Spark 기반에서 Python과 Scala API의 성능 비교 분석)

  • Ji, Keung-yeup;Kwon, Youngmi
    • Journal of Korea Multimedia Society
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    • v.23 no.2
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    • pp.241-246
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    • 2020
  • Hadoop is a framework to process large data sets in a distributed way across clusters of nodes. It has been a popular platform to process big data, but in recent years, other platforms became competitive ones depending on the characteristics of the application. Spark is one of distributed platforms to enable real-time data processing and improve overall processing performance over Hadoop by introducing in-memory processing instead of disk I/O. Whereas Hadoop is designed to work on Java and data analysis is processed using Java API, Spark provides a variety of APIs with Scala, Python, Java and R. In this paper, the goal is to find out whether the APIs of different programming languages af ect the performances in Spark. We chose two popular APIs: Python and Scala. Python is easy to learn and is used in AI domain in a wide range. Scala is a programming language with advantages of parallelism. Our experiment shows much faster processing with Scala API than Python API. For the performance issues on AI-based analysis, further study is needed.

A Study on Comparison of Open Application Programming Interface of Securities Companies Supporting Python

  • Ryu, Gui Yeol
    • International journal of advanced smart convergence
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    • v.10 no.1
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    • pp.97-104
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    • 2021
  • Securities and investment services had the most data per company on the average, and used the most data. Investors are increasingly demanding to invest through their own analysis methods. Therefore, securities and investment companies provide stock data to investors through open API. The data received using the open API is in text format. Python is effective and convenient for requesting and receiving text data. We investigate there are 22 major securities and investment companies in Korea and only 6 companies. Only Daishin Securities Co. supports Python officially. We compare how to receive stock data through open API using Python, and Python programming features. The open APIs for the study are Daishin Securities Co. and eBest Investment & Securities Co. Comparing the two APIs for receiving the current stock data, we find the main two differences are the login method and the method of sending and receiving data. As for the login method, CYBOS plus has login information, but xingAPI does not have. As for the method of sending and receiving data, Cybos Plus sends and receives data by calling the request method, and the reply method. xingAPI sends and receives data in the form of an event. Therefore, the number of xingAPI codes is more than that of CYBOS plus. And we find that CYBOS plus executes a loop statement by lists and tuple, dictionary, and CYBOS plus supports the basic commands provided by Python.

Authoring Tool for Web Content Development by Python Education (Python 교육을 통한 Web 콘텐츠 개발을 위한 저작도구)

  • Jeong, Je-Hyeon;Oh, Seong-Min;Gu, Bon-Woo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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    • pp.699-701
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    • 2022
  • 프로그래밍 교육에서 Python 교육은 현재 기본으로 다루고 있다. PIP 의 우수한 확장성에 의해 수많은 분야에서 Python 을 이용하여 연구 및 개발을 수행하고 있다. 게임 개발에서도 Python 은 적극 활용되고 있다. 메모리관리와 최적화를 위한 Low Level 개발 부분에서는 C/C++, C#, JAVA 를 사용하지만, 게임 시스템 기획자의 경우 프로그래머에게 직결되는 문서를 작업하기 위해 객체지향적 시점을 작성해야 하기 때문에 Python 을 통해 기획자와 프로그래머의 의사소통 향상으로 인해 결과적으로 개발 시간을 단축하는 효과를 볼 수 있다. 본 논문에서는 Python 교육과 접근성이 좋은 Web Contents 를 개발하기 위하여 KM Engine 을 개발하였다. 경민 대학교 게임콘텐츠과 학생들을 대상으로 교육과 Web Contents 를 개발한 결과 Unity, Unreal 에 비해 학생들이 매우 편하게 개발하는 것을 확인 할 수 있었다. KM Engine 은 경민 대학교 학생 들 뿐 아니라 게임 제작을 배우고 싶어하는 이들과 이들을 학습시킬 목적을 가진 이들에게 기여하길 바란다.

A Study on Comparison of Response Time using Open API of Daishin Securities Co. and eBestInvestment and Securities Co.

  • Ryu, Gui Yeol
    • International journal of advanced smart convergence
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    • v.11 no.1
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    • pp.11-18
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    • 2022
  • Securities and investment services have and use large data. Investors started to invest through their own analysis methods. There are 22 major securities and investment companies in Korea and only 6 companies support open API. Python is effective for requesting and receiving, analyzing text data from open API. Daishin Securities Co. is the only open API that officially supports Python, and eBest Investment & Securities Co. unofficially supports Python. There are two important differences between CYBOS plus of Daishin Securities Co. and xingAPI of eBest Investment & Securities Co. First, we must log in to CYBOS plus to access the server of Daishin Securities Co. And the python program does not require a logon. However, to receive data using xingAPI, users log on in an individual Python program. Second, CYBOS plus receives data in a Request/Reply method, and zingAPI receives data through events. It can be thought that these points will show a difference in response time. Response time is important to users who use open APIs. Data were measured from August 5, 2021, to February 3, 2022. For each measurement, 15 repeated measurements were taken to obtain 420 measurements. To increase the accuracy of the study, both APIs were measured alternately under same conditions. A paired t-test was performed to test the hypothesis that the null hypothesis is there was no difference in means. The p-value is 0.2961, we do not reject null hypothesis. Therefore, we can see that there is no significant difference between means. From the boxplot, we can see that the distribution of the response time of eBest is more spread out than that of Cybos, and the position of the center is slightly lower. CYBOS plus has no restrictions on Python programming, but xingAPI has some limits because it indirectly supports Python programming. For example, there is a limit to receiving more than one current price.

100 Article Paper Text Minning Data Analysis and Visualization in Web Environment (웹 환경에서 100 논문에 대한 텍스트 마이닝, 데이터 분석과 시각화)

  • Li, Xiaomeng;Li, Jiapei;Lee, HyunChang;Shin, SeongYoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.157-158
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    • 2017
  • There is a method to analyze the big data of the article and text mining by using Python language. And Python is a kind of programming language and it is easy to operating. Reaserch and use Python to creat a Web environment that the research result of the analysis can show directly on the browser. In this thesis, there are 100 article paper frrom Altmetric, Altmetric tracks a range of sources to capture. It is necessary to collect and analyze the big data use an effictive method, After the result coming out, Use Python wordcloud to make a directive image that can show the highest frequency of words.

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The Design and Implementation of Python Education Coding WEB (Python 코딩 교육 웹의 설계 및 구현)

  • Kim, Jae-soo;Park, suho;Lee, minseok;Choi, jihun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.01a
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    • pp.331-332
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    • 2019
  • 코딩교육의 의무화로 인해 조기 교육을 위한 코딩교육 프로그램이 성행한다. 하지만 이는 시각 중심적이라 실제 프로그래밍 언어를 접할 때 어려움이 많다. 이를 최소화하기 위해 만든 Python 블록 코딩 웹은 JavaScript, Arduino, Python, Web을 이용하여 시각중심의 블록을 드래그하여 실제 쓰이는 프로그래밍 언어로 바꿔주는 시스템을 개발하였다.

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Recruitment collector using multiple processes based on Python (Python 언어 기반의 다중 프로세스를 이용한 채용공고 수집기)

  • Hur, Tai-Sung;Kim, Jun-Ho;Baek, Sang-Heong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.07a
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    • pp.229-230
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    • 2019
  • 평생직장이 사라지면서 중년층은 재취업을 희망하고, 매년 실업률이 높아지면서 취업 포털 사이트를 이용하는 이용자들이 증가하고 있다. 이러한 이용자들에게 채용공고 정보를 제공해 주기위해서 보편적으로 Python 언어를 이용하여 데이터를 처리하고 수집한다. 하지만, Python은 다중 프로세스 기반을 갖춘 PC가 보급됨에도 불구하고 단일 프로세스로 처리하는 한계를 보이며, 나머지 프로세스에서는 데이터 처리를 하지 못하는 한계가 있다. 이러한 문제를 해결하기 위해 개선된 Python에서는 다중 프로세스로 처리 가능함에 따라 이를 이용한 채용 공고 수집기를 개발을 제안한다. 제안한 다중 프로세스를 사용한 수집기는 단일 프로세스보다 처리성능이 최대 3.42배 향상되었음을 확인하였다. 따라서, 다중 프로세스를 이용하여 채용 공고를 수집한다면 기존보다 더 빠른 데이터 처리와 데이터 수집 능력을 갖췄음을 확인하였다.

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Control of Raspberry Pi 4 Board using Minecraft Pi and Python Language (Minecraft Pi와 Python 언어를 이용한 라즈베리 파이 4 보드 제어)

  • Choi, Byeong-yoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.643-645
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    • 2021
  • Minecraft Pi edition is a distinct version of Minecraft developed for Raspberry Pi and was mostly used as an educational instrument for upcoming programmers. In this paper, the basic method to control GPIO pin of Raspberry Pi 4 board using python 3 and Minecraft Pi software was implemented. The implemented scheme can be easily applicable to the area of educational platform and metaverse application if a plenty of python libraries embedded in raspberry pi and excellent gaming capability of Minecraft Pi software are efficiently merged to meet application-specific hardware and software requirements.

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Subspectacular Abscess Involved with MRSA(methicillin resistant Staphylococcus aureus) in a Snake (메티실린 내성 황색 포도상구균에 의한 서브스펙타클 농양(subspectacular abscess)으로 진단된 버미즈 비단뱀)

  • Lee, So-Young;Kim, Ju-Won
    • Journal of Veterinary Clinics
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    • v.28 no.4
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    • pp.446-448
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    • 2011
  • A 1-year-old, male, captive born Burmese Python (Python molurus bivittatus) presented with cloudiness of the left eye after ecdysis. Based on physical examination and history, subspectacular abscess was diagnosed. The causative microorganism was identified as a methicillin-resistant Staphylococcus aureus (MRSA). MRSA is a zoonotic problem of high concern and is a risk in public health and veterinary medicine. To our limited knowledge, this is the first reported case of MRSA infection in snakes.