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About
President
Governance
Partner Institutions
Visit
People
Management
Faculty
Postdocs
Visiting Scholars
Staff
Research
Research Groups
Courses
Seminars
Join Us
Faculty
Postdocs
Students
Events
Conferences
Workshops
Forum
Life @ BIMSA
Accommodation
Transportation
Facilities
Tour
News
News
Announcement
Downloads
Qiuzhen College, Tsinghua University
Yau Mathematical Sciences Center, Tsinghua University (YMSC)
Tsinghua Sanya International  Mathematics Forum (TSIMF)
Shanghai Institute for Mathematics and  Interdisciplinary Sciences (SIMIS)
BIMSA > BIMSA Lecture Advanced Github/Markdown: Improve efficiency, collaborate and expand influence
Advanced Github/Markdown: Improve efficiency, collaborate and expand influence
Organizer
Cong Wei Song
Speaker
Cong Wei Song
Time
Friday, December 6, 2024 4:10 PM - 5:40 PM
Venue
A3-2-301
Online
Zoom 442 374 5045 (BIMSA)
Abstract
Github has emerged as an extremely popular platform in the tech world. It serves as a central hub for code hosting and version control. Its key features like pull requests and branches are crucial for team collaboration. Pull requests enable seamless code review and integration, ensuring high-quality code. Branches allow for parallel development, enhancing flexibility. Markdown, with its simplicity, complements Github perfectly. It simplifies documentation formatting, making it easier for teams to communicate. By integrating Github and Markdown, teams can significantly improve efficiency, streamline collaboration, and expand the influence of their projects. This combination has become a cornerstone for modern software development and knowledge sharing.
Speaker Intro
Congwei Song received the master degree in applied mathematics from the Institute of Science in Zhejiang University of Technology, and the Ph.D. degree in basic mathematics from the Department of Mathematics, Zhejiang University, worked in Zhijiang College of Zhejiang University of Technology as an assistant from 2014 to 2021, from 2021 on, worked in BIMSA as asistant researcher. His research interests include machine learning, as well as wavelet analysis and harmonic analysis.
Beijing Institute of Mathematical Sciences and Applications
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