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深度学习框架Keras入门资料，里面的代码包括课件和DEMO有利于新书入门学习，简单易懂(Keras Introductory Information of Deep Learning Framework, which includes courseware and DEMO, is helpful for introductory learning of new books. It is easy to understand.)

说明：  本书示例丰富，图文并茂，以简明易懂的方式阐释了算法，旨在帮助程序员在日常项目中更好地利用 算法为软件开发助力。前三章介绍算法基础，包括二分查找、大 O 表示法、两种基本的数据结构以及递归 等。余下的篇幅将主要介绍应用广泛的算法，具体内容包括 :面对具体问题时的解决技巧，比如何时采用 贪婪算法或动态规划 ;散列表的应用 ;图算法 ;K 最近邻算法。 本书适合所有程序员、计算机专业相关师生以及对算法感兴趣的读者。(This book is rich in examples, illustrated and illustrated. It explains the algorithm in a concise and easy to understand way. It aims to help programmers make better use of algorithms to help software development in daily projects. The first three chapters introduce the basic algorithm, including binary search, big O representation, two basic data structures and recursion. The remaining space will mainly introduce the widely used algorithms, including: when facing specific problems, how to use greedy algorithm or dynamic programming; hash table application; graph algorithm; k-nearest neighbor algorithm. This book is suitable for all programmers, computer related teachers and students as well as interested in algorithm readers.)

《从零开始学爬虫》的配套资料（PPT和源码）("Learning Reptiles from Zero" (PPT and Source))

zookper节点搭建、持久节点、临时节点创建以及动态上下线(Construction of Zookper Node and Dynamic Up and Down)

说明：  python PCA算法原理推导，及源代码实现，并基于PCA算法实现图片压缩，附pdf文件说明(Python PCA algorithm principle derivation, and source code implementation, and based on PCA algorithm to achieve image compression, with PDF file description)

用MATLAB实现模拟立方体的重构,是计算机视觉中三维重构的重要的应用实验()

拷贝和排序,本程序能实现A[N]与B[M],其中这两个数组都按升序排列,合并为一个C[M+N]数组,且按升序排列,()

Python数据预处理示例，包括数据清洗、数据整合、数据变换等操作。(Python data preprocessing examples, including data cleaning, data integration, data transformation and other operations.)

机器学习 数据挖掘 数值算法 人工智能 全英文教材(python machine learning data snooping)

spring boot 和spark嵌套的demo(spring boot join with spark)