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    --- tags: 2020-organize, program --- # PyCon TW 2020 衝刺開發 Development Sprints * 日期 Date: 8/30 10:00 ~ 16:00 (台北標準時間 TST) * 地點 Location: 好想工作室 (701台南市東區北門路二段16號 L2A) ## 如何組織一個衝刺開發 Organizing your sprints * 介紹你的專案 Introduce your project 你可以在 HackMD 中詳述你的專案內容與特色,以及想要參與者協助的地方。你也可以錄製一個小影片給無法參與實體聚會的參與者,讓他們能夠迅速瞭解你的專案內容。例如一個簡短的教學影片,包括專案介紹與操作、如何佈建、測試,觀看 Issue、Pull Request 等等。讓參與者可以很快上手,並瞭解可以從哪開始著手貢獻。 You can detail your project description and features in HackMD, as well as where you need participants to help. You can also provide a pre-recorded video for participants who cannot participate in the physical sprints meetup so that they can quickly pick up the knowledge of your project. For example, a short tutorial video, including project introduction and functionality, how to deploy, test, view Issue, Pull Request, etc. Make participants get started quickly and understand where to start contributing. * 與參與者互動 Interact with participants 專案主持人可以透過實體聚會分享、信件、聊天群組 (Slack, discord) 等等與參與者互動,交流意見,並協助參與者貢獻你的專案。如此一來,貢獻開源便不受限於時間與地點,而是一個長期的社群經營。 The project host can interact with participants, share ideas with each other, and help participants contribute to your project through physical meetup sharing, email, chat groups (slack, discord), etc. In this way, contributing to open source is not limited to time and place, but a long-term community promotion. * 提供參與者貢獻的方向 Provide direction for participants to contribute 你可以從專案中現有需要幫忙的 Issue 或是需要幫助的 Pull Request 中提供參與者貢獻的方向,也可以透過與參與者相互討論,尋找可以更好的方向。 You can provide the direction for participants from the existing issues or pull requests that need help in your project, and you can also discuss with participants to find a better direction. * 標註是否會參與實體 Sprints 聚會 Mark whether you will participate in the physical sprints meetup 你可以選擇是否參與 **8/30** 的實體 Sprints 聚會,帶領會眾一同貢獻你的專案,若你無法參與聚會也能透過線上的方式,組織你的 Sprints。 You can choose whether to participate in the physical Sprints meetup on **8/30** and lead the participants to contribute your project together. If you cannot participate in the sprints meetup, you can organize your Sprints online. ## 如何報名你的專案 How to register your project? ![](https://i.imgur.com/kMmq9dB.png) (按畫面左上方的這個筆可以開始修改 Press this pen on the upper left to modify) 如果您打算在 PyCon TW 2020 上組織你的 Sprints,請在此 Hackmd 加入您的專案,並依照範例格式填寫內容。填寫內容時請移除##前的 \\ If you plan to organize your sprints on PyCon TW 2020, please add your project here in Hackmd and fill in the content according to the example format. Please remove the \ sign before ## when you register. \## 專案名稱 Project name - 專案描述 Project description: - 專案連結 Project link (e.g., Github): - 專案聯絡人 Project Contact: - [ ] 參與實體聚會 Participate in physical meetup - [x] 以線上形式參與 Will join the sprint online ## 如何報名成為參加者 How to register as a attendee? 在 [KKTIX 註冊頁面](https://pycontw.kktix.cc/events/20200830-sprint)上註冊 Register on [KKTIX Registration Page](https://pycontw.kktix.cc/events/20200830-sprint) --- # 有哪些專案? Projects ## commitizen-tools - 專案描述 Project description: Create committing rules for projects 🚀 auto bump versions ⬆️ and auto changelog generation 📂 - 專案連結 Project link (e.g., Github): https://github.com/commitizen-tools - 專案聯絡人 Project Contact: Wei Lee (weilee.rx@gmail.com) - [x] 參與實體聚會 Participate in physical meetup --- ## Quark-Engine — An Obfuscation-Neglect Android Malware Scoring System - 專案描述 Project description: Quark-Engine is a trust-worthy, practical tool that's ready to boost up your malware reverse engineering. - 專案連結 Project link (e.g., Github): https://github.com/quark-engine/quark-engine - 專案聯絡人 Project Contact: JunWei Song - [x] 參與實體聚會 Participate in physical meetup --- ## Python packaging — pip, pipenv, warehouse, and more - 專案描述 Project description: Help make the new PyPI, and the entire packaging/distribution toolchain, as usable and robust as possible. - 專案連結 Project link (e.g., Github): - [pip surveys](https://hackmd.io/QjvRM5JaR9SZULRAVqs7Ng) - [PyPA projects](https://packaging.python.org/key_projects/#pypa-projects) - 專案聯絡人 Project Contact: Tzu-ping Chung (uranusjr@gmail.com) - [x] 參與實體聚會 Participate in physical meetup --- ## MLGame — A Platform For Applying Machine Learning Algorithm to Play Pixel Games - 專案描述 Project description: MLGame is not only for the player but also for the game developer (using `pygame`). It helps establish the communication between the game and the player code, and store the game progress for training the model. - 專案連結 Project link (e.g., Github): https://github.com/LanKuDot/MLGame - 專案聯絡人 Project Contact: Kun-Yi Li (https://twitter.com/LanKuDot) - [x] 參與實體聚會 Participate in physical meetup ---

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