写代码的刘二
1月前来过
全职 · 300/日  ·  6525/月
工作时间: 工作日04:30-21:30、周末04:30-21:30工作地点: 远程
服务企业: 1家累计提交: 0工时
联系方式:
********
********
********
聊一聊

使用APP扫码聊一聊

个人介绍

我是程序员刘淦,精通java,c++,能够独立或合作完成项目,我深入了解Java和C++编程语言,包括语法、库和最佳实践。我熟练地开发大规模软件系统,设计软件架构,实现算法,并使用数据结构。

我拥有使用各种软件开发工具的丰富经验,包括IDE、调试工具和版本控制系统。我了解敏捷和瀑布式软件开发方法,并具有个人和团队工作的经验。

我具备分析问题、开发有效解决方案和编写高质量可维护代码的强大能力。我致力于按时按质地完成项目,确保代码质量和性能的最高水平。

此外,我始终热衷于学习新技术,并跟上行业最新趋势。我对编程充满热情,乐于使用自己的技能来解决复杂问题和创建创新解决方案。

其次,我能够熟练运用wxmlwxssjsonjason、小游戏开发。我具备扎实的前端开发技能,熟练掌握HTML、CSS、JavaScript等前端技术,能够使用框架如Vue.js、React等实现复杂的交互效果和组件化开发。

我熟练进行项目管理、调试和发布的生命周期和架构,能够快速定位问题和解决bug。

我的技术和最佳实践,能够在项目中使用最新的技术,提高小程序的性能和用户体验。我也注重代码的可读性和可维护性,使用良好的编码规范和设计模式,为项目的可持续发展做出贡献。


I possess a deep understanding of the Java and C++ programming languages, including their syntax, libraries, and best practices. I am proficient in developing large-scale software systems, designing software architecture, implementing algorithms, and using data structures.

I have extensive experience in using various software development tools, including IDEs, debugging tools, and version control systems. I have a good understanding of software development methodologies such as Agile and Waterfall, and have experience working in both individual and team environments.

I have a strong ability to analyze problems, develop effective solutions, and write high-quality, maintainable code. I am committed to delivering projects on time and within budget while ensuring the highest level of code quality and performance.

In addition, I am always eager to learn new technologies and stay up-to-date with the latest trends in the field. I am passionate about programming and enjoy using my skills to solve complex problems and create innovative solutions.

I possess strong front-end development skills, proficient in technologies such as HTML, CSS, JavaScript, and can use frameworks like Vue.js, React, and others to implement complex interactive effects and component-based development. At the same time, I am also familiar with the development specifications and limitations of WeChat mini programs and can apply them effectively.

I am skilled in using WeChat developer tools and other related tools, capable of project management, debugging, and publishing. I have a good understanding of the life cycle and architecture of WeChat mini programs and can quickly locate issues and solve bugs.

I keep up with new technologies and best practices in WeChat mini program development, and can use the latest technologies in projects to improve program performance and user experience. I also pay attention to the readability and maintainability of code, using good coding standards and design patterns to contribute to the project's sustainable development.

工作经历 和TA聊聊

APP扫码和程序员直接沟通

  • 该用户选择隐藏工作经历信息,如需查看详细信息,可点击右上角“和TA聊一聊”查看

教育经历 和TA聊聊

APP扫码和程序员直接沟通

  • 该用户选择隐藏教育经历信息,如需查看详细信息,可点击右上角“和TA聊一聊”查看

技能

C++
Unity3D
Solidity
算法设计
0
1
2
3
4
5
0
1
2
3
4
5
作品
【微信小程序】基础页面搭建

我制作的是一款*小程序的基本框架,这个框架是用于开发*小程序的基础架构,能够帮助开发者更快速、更高效地进行*小程序的开发。 在这个项目中,我使用了*小程序开发工具和相关的技术栈,例如HTML、CSS、JavaScript等。我设计了*小程序的基本结构,包括首页、分类页、搜索页、详情页等。在设计过程中,我注重用户体验和界面美观,优化了*小程序的页面布局、颜色搭配和交互效果。 在框架的开发过程中,我使用了*小程序提供的各种组件和API,例如ScrollView、View、Image等,以及*小程序的生命周期和事件处理机制。我还封装了一些常用的函数和工具,例如数据请求、本地缓存、时间格式化等,以提高*小程序的开发效率和代码复用性。 此外,我还进行了测试和优化工作,对*小程序的性能、稳定性和用户体验进行了全面的测试和优化,以确保*小程序的质量和可靠性。最终,我成功地开发了一款*小程序的基本框架,为*小程序的开发者提供了一个高效、便捷的开发平台。

0
2023-04-26 19:58
【深度学习】中药图片识别

首先,我通过网络爬虫技术,从互联网上收集了超过30G的中药图片,并进行了预处理和清洗。然后,我使用深度学习框架,例如TensorFlow或PyTorch,搭建了卷积神经网络(CNN)和循环神经网络(RNN)等深度学习模型。这些模型可以对中药图片进行特征提取和分类,以实现对不同种类中药的自动识别和分类。 在搭建深度学习模型的过程中,我需要进行大量的数据处理、特征提取、模型优化和调试等工作,以保证模型的准确性和稳定性。同时,我也需要了解中药的分类和特征,以便更好地设计和优化深度学习模型,提高其识别和分类的准确性。 爬取资料已上传,卷积模型不便上传。

0
2023-04-26 19:52
下载次数:0
¥9
Developing Missing Components for iOS on MIT App I

The goal of this project is to developing missing components for iOS on MIT App Inventor. I am writing to propose a project that could leverage the existing capabilities of MIT App Inventor to develop components for the iOS platform. MIT App Inventor was originally developed for Android, but the organizer have released an iOS version of the Companion, which has been well received by users. However, there are still some components that have not been ported over to iOS. The project I work on should basically follow the original code logic. The code for the Storage component in MIT App Inventor written in java is well-structured and follows a clear logic, which mainly including: TinyDB, File, Error handling and Thread safety. The TinyDB component: The TinyDB component is implemented using the SharedPreferences API in Android. When a value is stored using the TinyDB component, it is saved as a key-value pair in the SharedPreferences file associated with the app. When a value is retrieved, the corresponding value is retrieved from the SharedPreferences file. The File component: The File component provides a way to read from and write to files stored on the device's internal storage or external storage. The component uses the standard Java I/O classes to read from and write to files. Error handling: The Storage component implements robust error handling to ensure that the app does not crash in the event of an error. For example, if a file cannot be read, the component will return an error message indicating the reason for the failure. Thread safety: The Storage component is designed to be thread-safe, ensuring that multiple threads can access the component without causing conflicts or errors. Overall, the code for the Storage component in MIT App Inventor is well-designed, with clear logic and robust error handling. This makes it a good reference for developing the missing components for iOS, as outlined in the proposed project.

0
2023-04-26 19:19
更新于: 2023-04-26 浏览: 163