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PyStudy : Python based Self-Study Helper Software

PyStudy : Python 학습 도우미 소프트웨어 개발

  • Jo, YeongChang (Division of Computer Engineering, Hanshin University) ;
  • Kim, HyeHyeon (Division of Computer Engineering, Hanshin University) ;
  • Kim, HoonSik (Division of Computer Engineering, Hanshin University) ;
  • Han, SeongUk (Division of Computer Engineering, Hanshin University) ;
  • Lee, Hyung-Woo (Division of Computer Engineering, Hanshin University)
  • 조영창 (한신대학교 컴퓨터공학부) ;
  • 김혜현 (한신대학교 컴퓨터공학부) ;
  • 김훈식 (한신대학교 컴퓨터공학부) ;
  • 한성욱 (한신대학교 컴퓨터공학부) ;
  • 이형우 (한신대학교 컴퓨터공학부)
  • Received : 2015.12.08
  • Accepted : 2016.03.10
  • Published : 2016.03.31

Abstract

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.

References

  1. Python Software Foundation, "Python 3.4documentation", https://docs.python.org/3.4/
  2. Riverbank,"PyQt 5.5 Reference Guide",http://pyqt.sourceforge.net/Docs/PyQt5/
  3. 박은용, "점프 투 파이썬", 위키독스, 2015