高德API爬取行政区域边界

MPCPY是一个Python程序包，它有助于测试和实现用于构建系统的乘员集成模型预测控制（MPC）。该软件包侧重于使用数据驱动的、简化的物理或统计模型来预测建筑性能和优化控制。四个主要模块包含对象类来导入数据，与真实的或仿真的系统交互，估计和验证数据驱动的模型，并优化控制输入。(MPCPy is a python package that facilitates the testing and implementation of occupant-integrated model predictive control (MPC) for building systems. The package focuses on the use of data-driven, simplified physical or statistical models to predict building performance and optimize control. Four main modules contain object classes to import data, interact with real or emulated systems, estimate and validate data-driven models, and optimize control input.)

说明：  熵权法代码，py熵权法代码求客观权重及信息熵，直接输入矩阵即可(Entropy weight method code, py entropy weight method code to find the objective weight and information entropy, directly input the matrix)

说明：  Python自带GUi编辑器Tkinter入门教程(Python comes with GUi editor Tkinter introductory tutorial)

有道翻译接口破解。 免费使用翻译，无数量限制。(Free use of youdao translation, unlimited restrictions.)

人工智能课程作业，TensorFlow中使用CNN实现手写体数字识别，基于CNN实现手写体数字识别并对比MLP分析。文章对代码原理结构有较为详尽的分析和解释，结尾处附有程序完整代码，可在python中直接运行。(Artificial intelligence course assignments, TensorFlow uses CNN to realize handwritten numeral recognition, and CNN to realize handwritten numeral recognition and MLP analysis. This article has a more detailed analysis and explanation of the code principle and structure. At the end of the article, there is a complete program code, which can run directly in python.)

说明：  多标签学习算法的相关资料学习，包含数据集和代码(the multi-label knn algorithm ,can use the code in python)

Python配套使用资料，更直观的看到协议分析图，更好地学习。(Python supporting the use of data, see the protocol analysis more intuitive, better learning. )

对哔哩哔哩弹幕进行抽取并完成情感倾向的分析和估计(To extract bilibili barrage and complete the analysis and estimation of emotional tendency)

这本书旨在通过Python（对于初学者来说是最容易语言之一）的介绍和学习，教你像计算机科学家那样思考。这本书是国外中学生的教材之一，非常的通俗易懂。(How to Think Like a Computer Scientist: Learning with Python is an introduction to programming using Python, one of the best languages for beginners. )

说明：  可以将grads数据转换成ncl能读的数据，直接一步实现(Grads data can be converted into NCL readable data, which can be directly implemented in one step)