# 计算机

- [python基础](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python.md)
- [python的数据结构](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/shu-ju-jie-gou.md)
- [python布隆过滤器](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/bloomfilter.md)
- [删除重复元素，保持顺序不变](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/2.1.2-shan-chu-zhong-fu-yuan-su-bao-chi-shun-xu-bu-bian.md)
- [找出次数最多的元素-Counter](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/2.1.3-zhao-chu-ci-shu-zui-duo-dao-yuan.md)
- [排序类定义的实例-sorted-attrgetter](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/2.1.4-pai-xu-lei-ding-yi-de-shi-li.md)
- [使用列表推导式](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/2.1.5-shi-yong-lie-biao-tui-dao-shi.md)
- [命名切片](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/2.1.6-ming-ming-qie-pian.md)
- [使用元组](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/2.2-shi-yong-yuan-zu.md)
- [python下划线\_命名](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/2.2-shi-yong-yuan-zu/xia-hua-xian.md)
- [将序列分解为单独的变量-\*var](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/2.2-shi-yong-yuan-zu/2.2.5-jiang-xu-lie-fen-jie-wei-dan-du-de-bian-liang.md)
- [将序列最后几项作为历史记录-deque](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/2.2-shi-yong-yuan-zu/2.2.6-jiang-xu-lie-zui-hou-ji-xiang-zuo-wei-li-shi-ji-lu.md)
- [使用优先级队列-heapq](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/2.2.7-shi-yong-you-xian-ji-dui-lie.md)
- [字典映射多个值-defaultdict](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/2.3.3-zi-dian-ying-she-duo-ge-zhi.md)
- [创建有序字典-OrderDict](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/2.3.4-shi-yong-orderdict-chuang-jian-you-xu-zi-dian.md)
- [实现LRU](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/lru.md)
- [获取字典最大最小值](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/2.3.5-huo-qu-zi-dian-zui-da-zui-xiao-zhi.md)
- [获取两个字典共同键值对](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/2.3.6-huo-qu-liang-ge-zi-dian-gong-tong-jian-zhi-dui.md)
- [itemgetter()对字典排序](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/2.3.7itemgetter-dui-zi-dian-pai-xu.md)
- [字典推导式](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/2.3.8-zi-dian-tui-dao-shi.md)
- [数据分组操作](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/2.3.9-fen-zu-cao-zuo.md)
- [多个字典映射合并为单个](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/2.3.11-duo-ge-zi-dian-ying-she-he-bing-wei-dan-ge.md)
- [yield-yield from](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/yield.md)
- [装饰器](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/zhuang-shi-qi.md)
- [property](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/zhuang-shi-qi/property-1.md)
- [staticmethod](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/zhuang-shi-qi/staticmethod.md)
- [多线程-多进程](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/duo-xian-cheng-jing-cheng.md)
- [Async/Await](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/async-await.md)
- [上下文变量-py3.7](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/contextvar.md)
- [gc](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/gc.md)
- [pickle持久化](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/pickle-chi-jiu-hua.md)
- [turtle动态绘图](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/turtle-dong-tai-hui-tu.md)
- [PIL图像](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/pil-tu-xiang.md)
- [函数传参](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/func-argv.md)
- [tqdm](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/tqdm.md)
- [读写文件](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/file-read.md)
- [hash、hashlib使用](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/hash-hashlib.md)
- [魔术](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/magic-way.md)
- [导出项目依赖](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python/dao-chu-yi-lai.md)
- [python设计模式](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern.md)
- [简单工厂模式](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/simple_factory.md)
- [抽象工厂](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/abstract_factory.md)
- [建造者](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/builder.md)
- [工厂方法](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/factory_method.md)
- [原型](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/prototype.md)
- [单例](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/singleton.md)
- [适配器](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/adapter.md)
- [桥接](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/bridge.md)
- [组合](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/composite.md)
- [装饰](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/decorator.md)
- [外观](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/facade.md)
- [享元](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/flyweight.md)
- [代理](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/proxy.md)
- [观察者](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/observer.md)
- [\[模板方法\]](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/mo-ban-fang-fa.md)
- [\[命令\]](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/ming-ling.md)
- [\[状态\]](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/zhuang-tai.md)
- [\[责任链\]](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/ze-ren-lian.md)
- [\[解释器\]](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/jie-shi-qi.md)
- [\[中介者\]](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/zhong-jie-zhe.md)
- [\[访问者\]](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/fang-wen-zhe.md)
- [\[策略\]](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/ce-lve.md)
- [\[备忘录\]](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/bei-wang-lu.md)
- [\[迭代器\]](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pattern/die-dai-qi.md)
- [python源码阅读](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python-yuan-ma-yue-du.md)
- [python源码结构](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python-yuan-ma-yue-du/jie-gou.md)
- [编译源码](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python-yuan-ma-yue-du/bian-yi-yuan-ma.md)
- [源码目录](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python-yuan-ma-yue-du/jilu.md)
- [include](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python-yuan-ma-yue-du/jilu/include.md)
- [object.h](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python-yuan-ma-yue-du/jilu/include/object-h.md)
- [pyport.h](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python-yuan-ma-yue-du/jilu/include/pyport-h.md)
- [longobject.h](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python-yuan-ma-yue-du/jilu/include/longobject-h.md)
- [longintrepr.h](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python-yuan-ma-yue-du/jilu/include/longobject-h-1.md)
- [objimp.h](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python-yuan-ma-yue-du/jilu/include/objimp-h.md)
- [Objects](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python-yuan-ma-yue-du/jilu/objects.md)
- [longobject-c](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python-yuan-ma-yue-du/jilu/objects/longobject-c.md)
- [typeobject.c](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/python-yuan-ma-yue-du/jilu/objects/typeobject-c.md)
- [机器学习](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml.md)
- [基础概论](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/1-ji-chu-gai-niang.md)
- [基础数学理论](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/ji-chu-math.md)
- [感知机](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/2-gan-zhi-ji.md)
- [线性回归](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/linearregression.md)
- [逻辑回归](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/logisticregression.md)
- [逻辑回归2](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/6-luo-ji-hui-gui.md)
- [KD树](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/kdtree.md)
- [k近邻](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/3-k-jin-ling.md)
- [贝叶斯分类器](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/bei-ye-si.md)
- [决策树](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/5-jue-ce-shu.md)
- [支持向量机-SVM](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/7-zhi-chi-xiang-liang.md)
- [核函数](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/7-zhi-chi-xiang-liang/svm-he-han-shu.md)
- [软间隔](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/7-zhi-chi-xiang-liang/svm-ruan-jian-ge.md)
- [SMO](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/7-zhi-chi-xiang-liang/svm-smo.md)
- [SVR](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/7-zhi-chi-xiang-liang/svr.md)
- [sklearn实现SVC/SVR](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/7-zhi-chi-xiang-liang/sk-learn-svc-svr.md)
- [集成方法](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/ji-cheng.md)
- [AdaBoost](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/ji-cheng/adaboost.md)
- [Bagging](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/ji-cheng/bagging.md)
- [随机森林](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/ji-cheng/random-forest.md)
- [Stacking](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/ji-cheng/stacking.md)
- [GBDT](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/ji-cheng/gbdt.md)
- [XGBoost](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/ji-cheng/xgboost.md)
- [LightGBM](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/ji-cheng/lightgbm.md)
- [聚类](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/cluster.md)
- [k均值](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/cluster/kmean.md)
- [学习向量量化LVQ](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/cluster/lvq.md)
- [高斯混合GMM](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/cluster/gmm.md)
- [DBSCAN密度聚类](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/cluster/dbscan.md)
- [AGNES层次聚类](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/cluster/agnes.md)
- [EM算法](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/em.md)
- [\[降维\]](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/jiang-wei.md)
- [TF-IDF](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/tf-idf.md)
- [问答](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/wen-da.md)
- [生成-判别模型区别](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/wen-da/sheng-cheng-pan-bie.md)
- [模型评价指标](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/wen-da/ping-jia-zhi-biao.md)
- [有哪些距离](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/wen-da/ml-ju-li.md)
- [bootstrap数据是什么意思](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/wen-da/bootstrap.md)
- [不均衡样本时的评价](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/wen-da/bu-jun-hen-shi-de-ping-jia.md)
- [影响聚类算法结果的主要因素](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/ml/wen-da/ying-xiang-jun-lei-jie-guo.md)
- [纯代码实现ML](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/chun-dai-ma-shi-xian-ml.md)
- [最小二乘法](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/chun-dai-ma-shi-xian-ml/0.md)
- [感知机](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/chun-dai-ma-shi-xian-ml/1.md)
- [k近邻](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/chun-dai-ma-shi-xian-ml/k-jin-lin.md)
- [深度学习-理论](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun.md)
- [梯度下降法与改进](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun/sgd.md)
- [自动编码器](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun/01.md)
- [去噪自动编码器](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun/01/02.md)
- [稀疏自动编码器](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun/01/03.md)
- [收缩自动编码器](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun/01/04.md)
- [受限玻耳兹曼机](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun/shou-xian-bo-er-ci-man.md)
- [DNN](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun/dnn.md)
- [CNN](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun/cnn.md)
- [RNN](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun/rnn.md)
- [LSTM](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun/rnn/lstm.md)
- [GRU](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun/rnn/gru.md)
- [Bi-循环神经网络](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun/rnn/bi-rnn.md)
- [seq2seq](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun/rnn/seq2seq.md)
- [序列标注问题](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun/rnn/xu-lie-biao-zhu.md)
- [NLP一般思路](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun/nlp.md)
- [GAN](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun/gan.md)
- [条件GAN](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun/gan/cgan.md)
- [\[资源\]](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shen-du-xue-xi-li-lun/zi-yuan.md)
- [PyTorch](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch.md)
- [基础知识](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/ji-chu-zhi-shi.md)
- [损失函数](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/sun-shi-han-shu.md)
- [优化器](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/you-hua-suan-fa.md)
- [数据的加载和预处理、torchvision](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/data-load-and-dwell.md)
- [神经网络、图像分类、模型保存](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/bp-network.md)
- [线性回归、逻辑回归](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/lr-lr.md)
- [CNN系](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/cnn-xi.md)
- [AlexNet](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/cnn-xi/alexnet.md)
- [GoogLeNet](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/cnn-xi/googlenet.md)
- [RestNet](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/cnn-xi/restnet.md)
- [VGG](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/cnn-xi/vgg.md)
- [RNN系](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/rnn-xi.md)
- [LSTM](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/rnn-xi/lstm.md)
- [GRU](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/rnn-xi/gru.md)
- [词嵌入](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/rnn-xi/embding.md)
- [GAN系](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/gan-xi.md)
- [NLP系](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/nlp-xi.md)
- [n-gram](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/nlp-xi/n-gram.md)
- [CBOW](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/nlp-xi/cbow.md)
- [Attention](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/nlp-xi/attention.md)
- [逻辑回归-词袋文本分类](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/pytorch/nlp-xi/lr-bow-classif.md)
- [Tensorflow](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/tensorflow.md)
- [网站](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/tensorflow/wang-zhan.md)
- [推荐算法](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/tensorflow/tui-jian-suan-fa.md)
- [DIEN](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/tensorflow/tui-jian-suan-fa/dien.md)
- [keras](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/tensorflow/keras.md)
- [bert-keras进行文本分类](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/tensorflow/keras/keras-bert.md)
- [数据库](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shu-ju-ku.md)
- [mysql](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shu-ju-ku/mysql.md)
- [快速起步](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shu-ju-ku/mysql/login.md)
- [查询](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shu-ju-ku/mysql/select.md)
- [聚合排序](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shu-ju-ku/mysql/juhe-paixu.md)
- [数据更新](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shu-ju-ku/mysql/data-update.md)
- [复杂查询](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shu-ju-ku/mysql/fu-zha-cha-xun.md)
- [函数、谓词](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shu-ju-ku/mysql/han-shu-wei-ci.md)
- [集合运算](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shu-ju-ku/mysql/ji-he-yun-suan.md)
- [高级处理](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shu-ju-ku/mysql/gao-ji-chu-li.md)
- [mongoDB](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shu-ju-ku/mongodb.md)
- [刷题](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti.md)
- [排序类](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/pai-xu-lei.md)
- [1. 选择排序](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/pai-xu-lei/1xuan-ze-pai-xu.md)
- [2. 冒泡排序](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/pai-xu-lei/2.mao-pao-pai-xu.md)
- [3. 插入排序](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/pai-xu-lei/3-cha-ru-pai-xu.md)
- [4. 希尔排序](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/pai-xu-lei/4-xi-er-pai-xu.md)
- [5. 快速排序](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/pai-xu-lei/5-kuai-su-pai-xu.md)
- [6. 三向切分快速排序](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/pai-xu-lei/6-san-pei-fen-kaui-pai.md)
- [7. 归并排序](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/pai-xu-lei/7-bin-gui-pai-xu.md)
- [8. 堆排序](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/pai-xu-lei/8-dui-pai-xu.md)
- [实现一个argsort](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/pai-xu-lei/argsort.md)
- [搜索-查找类](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/sou-suo-cha-zhao-lei.md)
- [子串第一次出现位置](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/sou-suo-cha-zhao-lei/zi-chuang-wei-zhi.md)
- [忽略顺序-判断两个串是否一样](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/sou-suo-cha-zhao-lei/pan-duan-liang-ge-chuan-shi-fou-yi-yang.md)
- [19. 搜索插入位置](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/sou-suo-cha-zhao-lei/19-sou-suo-cha-ru-wei-zhi.md)
- [二分搜索-木材切割问题](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/sou-suo-cha-zhao-lei/mu-cai-qie-ge-wen-ti.md)
- [二分搜索-求根](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/sou-suo-cha-zhao-lei/28-x-de-ping-fang-gen.md)
- [76. 查找峰值](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/sou-suo-cha-zhao-lei/76-cha-zhao-feng-zhi.md)
- [78-在旋转数组中查找元素](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/sou-suo-cha-zhao-lei/78-zai-xuan-zhuan-shu-zu-zhong-cha-zhao-yuan-su.md)
- [数据结构类](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei.md)
- [23. 不同路径](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/23-bu-tong-lu-jin.md)
- [24. 不同路径 II](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/24-bu-tong-lu-jin.md)
- [25. 最小路径和](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/25-zui-xiao-lu-jin-he.md)
- [29. 删除排序链表中的重复元素](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/29-shan-chu-pai-xu-lian-biao-chong-fu-yuan-su.md)
- [30. 相同的树](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/30-xiang-tong-de-shu.md)
- [31. 二叉树的最小深度](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/31-er-cha-shu-de-zui-xiao-shen-du.md)
- [32. 路径总和](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/32-lu-jin-zong-he.md)
- [34. 相交链表](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/34-xiang-jiao-lian-biao.md)
- [37. 翻转二叉树](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/37-fan-zhuang-er-cha-shu.md)
- [38. 二叉树的所有路径](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/38-er-cha-shu-suo-you-lu-jin.md)
- [41. 两个数组的交集](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/41-liang-ge-shu-zu-de-jiao-ji.md)
- [44. 左叶子之和](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/44-zuo-ye-zi-zhi-he.md)
- [46. 路径总和 III，和为某个数](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/46-lu-jin-zong-he.md)
- [47. 数组中重复的数据](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/47-shu-zu-zhong-chong-fu-de-shu-ju.md)
- [52. 二叉树的直径](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/52-er-cha-shu-de-zhi-jin.md)
- [55. N叉树的最大深度](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/55-n-cha-shu-de-zui-da-shen-du.md)
- [56. 二叉树的坡度](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/56-er-cha-shu-de-po-du.md)
- [57. 另一个树的子树](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/57-ling-yi-ge-shu-de-zi-shu.md)
- [58. N叉树的前序遍历(未使用迭代算法)](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/58-n-cha-shu-de-qian-xu-bian-li.md)
- [59. N叉树的后序遍历(未使用迭代算法)](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/59-n-cha-shu-de-hou-xu-bian-li.md)
- [60. 根据二叉树创建字符串](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/60-gen-ju-er-cha-shu-chuang-jiang-zi-fu-chuang.md)
- [63. 最长同值路径(递归)](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/63-zui-chang-tong-zhi-lu-jin.md)
- [68. 叶子相似的树](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/68-ye-zi-xiang-si-de-shu.md)
- [69. 反转链表](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/69-fan-zhuan-lian-biao.md)
- [70. 两个链表的第一个公共结点](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/70-liang-ge-lian-biao-di-yi-gong-gong-jie-dian.md)
- [71. 链表中倒数第k个结点](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/71-lian-biao.md)
- [72. 树的子结构](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/72-shu-de-zi-jie-gou.md)
- [73. 合并两个排序的链表](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/73-he-bin-liang-ge-pai-xu-lian-biao.md)
- [合并n个有序列表](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/he-bingnge-you-xu-lie-biao.md)
- [74. 二叉树的镜像](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/74-er-cha-shu-jing-xiang.md)
- [76. 调整数组顺序使奇数位于偶数前面](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/76-tiao-zheng-shu-zu.md)
- [创建二叉树/遍历](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/create-tree.md)
- [实现霍夫曼树的基本操作](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/huffman-tree.md)
- [KMP字符串](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/kmp.md)
- [二叉树节点计算](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/shu-ju-jie-gou-lei/er-cha-shu-jie-dian-ji-suan.md)
- [思想类](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei.md)
- [枚举](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/mei-ju.md)
- [枚举思想-24点游戏](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/mei-ju/24dian.md)
- [枚举思想-计算平方根](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/mei-ju/ping-fang-gen.md)
- [递归](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/di-gui.md)
- [递归思想-斐波那契数列](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/di-gui/shu-lie.md)
- [递归思想-汉诺塔问题](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/di-gui/han-nuo-ta-wen-ti.md)
- [递归思想-阶乘问题](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/di-gui/jie-cheng-wen-ti.md)
- [凑出n分钱的全部组合](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/di-gui/cou-chu-n-fen-qian.md)
- [分治法](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/fen-zhi-fa.md)
- [分治法思想-求顺序表中的最大值](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/fen-zhi-fa/qiu-shun-xu-biao-zui-da-zhi.md)
- [分治法思想-判断某个元素是否在列表中](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/fen-zhi-fa/pan-duan-yuan-su-shi-fou-cun-zai.md)
- [分治法思想-找出第k小元](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/fen-zhi-fa/zhao-chu-di-k-xiao.md)
- [贪心](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/tan-xin.md)
- [贪心算法-找零问题](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/tan-xin/zhao-ling-wen-ti.md)
- [贪心算法-分糖果问题](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/tan-xin/tan-xin-tang-guo-wen-ti.md)
- [贪心算法-移除k个数让数串尽可能小](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/tan-xin/yi-chu-k-ge-zi.md)
- [贪心算法-最长摇摆序列](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/tan-xin/zui-chang-yao-bai-xu-lie.md)
- [贪心算法-汽车加油问题](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/tan-xin/qi-che-jia-you-wen-ti.md)
- [回溯](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/hui-su.md)
- [回溯算法-八皇后问题](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/hui-su/ba-huang-hou-wen-ti.md)
- [回溯算法-迷宫问题](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/hui-su/mi-gong-wen-ti.md)
- [动态规划](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/dong-tai-gui-hua.md)
- [动态规划-01背包问题](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/si-xiang-lei/dong-tai-gui-hua/0-1-bei-bao-wen-ti.md)
- [智商类](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei.md)
- [9. 两数相加](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/9-liang-shu-xiang-jia.md)
- [10. 反转整数](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/10-fan-zhuan-zheng-shu.md)
- [反转单词](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/10-fan-zhuan-dan-ci.md)
- [11. 回文数判断](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/11-hui-wen-shu.md)
- [12. 罗马数字转整数](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/12-luo-ma-shu-zi.md)
- [两数之和为k](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/13-liang-shu-zhi-he-wei-k.md)
- [13. 三数之和](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/13-san-shu-zhi-he.md)
- [14. 最接近的三数之和](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/14-zui-jin-san-shu-zhi-he.md)
- [15. 四数之和](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/15-si-shu-zhi-he.md)
- [16. 移除元素](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/16-yi-chu-yuan-su.md)
- [17. 实现strStr()](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/17-shi-xian-str.md)
- [18. 最长有效括号](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/18-zui-chang-you-xiao-kuo-hao.md)
- [20. 报数](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/20-bao-shu.md)
- [21. 最大子序和](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/21-zui-da-zi-xu-he.md)
- [22. 最后一个单词的长度](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/22-zui-hou-yi-ge-dan-ci-chang-du.md)
- [26. 加一](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/26-jia-yi.md)
- [27. 二进制求和](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/27-er-jin-zhi-qiu-he.md)
- [33. 回文串判断](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/33-yan-zheng-hui-wen-chuang.md)
- [35. 两数之和 II - 输入有序数组](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/35-liang-shu-zhi-he.md)
- [36. 杨辉三角](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/36-yang-hui-san-jiao.md)
- [39. 区域和检索 - 数组不可变](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/39-qu-yu-he-jian-suo.md)
- [40. 二维区域和检索 - 矩阵不可变](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/40-er-wei-qu-yu-jian-suo.md)
- [42. 赎金信](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/42-shu-jin-xing.md)
- [43. 俄罗斯套娃信封问题](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/43-e-luo-si-tao-wa-xing-feng.md)
- [45. 字符串中的单词数](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/45-zi-fu-chuang-zhong-de-dan-ci.md)
- [48. 压缩字符串](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/48-ya-suo-zi-fu-chuang.md)
- [49. 找到所有数组中消失的数字](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/49-zhao-dao-suo-you-shu-zu-xiao-shi-de-shu-zi.md)
- [50. 检测大写字母](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/50-jian-ce-da-xie-zi-mu.md)
- [51. 反转字符串 II](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/51-fan-zhuan-zi-fu-chuang.md)
- [53. 学生出勤纪录 I](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/53-xue-sheng-chu-qing-ji-lu.md)
- [54. 反转字符串中的单词 III](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/54-fan-zhuan-zi-fu-chuang-zhong-de-dan-ci.md)
- [61. 两数之和 IV - 输入 BST](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/61-liang-shu-zhi-he.md)
- [62. 冗余连接](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/62-cheng-yu-lian-jie.md)
- [64. 划分为k个相等的子集（递归）](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/64-hua-fen-wei-k-ge-xiang-deng-de-zi-ji.md)
- [65. 使用最小花费爬楼梯](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/65-shi-yong-zui-xiao-hua-fei-pa-lou.md)
- [66. 第K个语法符号](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/66-di-k-ge-yu-fa-fu-hao.md)
- [67. 亲密字符串](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/67-qing-mi-zi-fu-chuang.md)
- [75. 矩形覆盖](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shua-ti/zhi-shang-lei/75-ju-xing-fu-gai.md)
- [numpy-pandas-matplotlib](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib.md)
- [pandas](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/pandas.md)
- [画直方图](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/pandas/zhi-fang-tu.md)
- [pandas与mysql的连接](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/pandas/pd-sql.md)
- [pandas快速入门](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/pandas/fast-in.md)
- [创建数据](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/pandas/create-data.md)
- [查看索引数据](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/pandas/suo-yin-shu-ju.md)
- [numpy](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/numpy.md)
- [基本现代操作np.linalg](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/numpy/xian-dai.md)
- [两个向量是否相近-np.allclose](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/numpy/xian-dai/np-allclose.md)
- [扁平化函数ravel()和flatten()](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/numpy/xian-dai/ravel-flatten.md)
- [矩阵合并np.c\_和np.r\_](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/numpy/xian-dai/he-bing.md)
- [insert()append()delete()concatenate()hstack()vstack()等操作](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/numpy/xian-dai/insert-append-delete-concatenate-hstack-vstack.md)
- [matplotlib](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/matplotlib.md)
- [meshgrid区域图](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/matplotlib/meshgrid.md)
- [绘制文字-中文](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/matplotlib/draw-zh.md)
- [动态matplotlib图像](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/matplotlib/dynamic-draw.md)
- [3D](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/matplotlib/3d.md)
- [散点图-各种个样](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/matplotlib/scatter.md)
- [contour等高线绘制](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/numpy-pandas-matplotlib/matplotlib/contour.md)
- [计算机基础课程](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview.md)
- [计算机组成](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/ji-suan-ji-zu-cheng.md)
- [1.概述](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/1.md)
- [2.计算机发展及应用](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/2.-ji-suan-ji-fa-zhan-ji-ying-yong.md)
- [3.系统总线](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/1-1.md)
- [4.存储器A](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/1-2.md)
- [5.存储器B](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/5.-cun-chu-qi-b.md)
- [算法设计与分析](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/5.-cun-chu-qi-b/algrithm.md)
- [1.基础知识1](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/1-1-1.md)
- [2.基础知识2](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/2.-ji-chu-zhi-shi-2.md)
- [3.分治策略1](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/3.-fen-zhi-ce-lve-1.md)
- [4.分治策略2](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/4.-fen-zhi-ce-lve-2.md)
- [操作系统](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/4.-fen-zhi-ce-lve-2/cao-zuo-xi-tong.md)
- [概述](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/1-3.md)
- [进程管理](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/2.md)
- [死锁](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/3.md)
- [内存管理](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/4.md)
- [设备管理](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/5.md)
- [链接](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/6.md)
- [设计模式](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/6/1.md)
- [计算机网络](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/6/ji-suan-ji-wang-luo.md)
- [概述](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/1-4.md)
- [物理层](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/2-1.md)
- [链路层](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/3-1.md)
- [网络层](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/4-1.md)
- [HTTP](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/1-5.md)
- [Socket](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/1-5/1.md)
- [问题收集](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/1-5/wen-ti-shou-ji.md)
- [1.OSI/TCP/IP五层协议](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/1-6.md)
- [2.IP地址分类](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/2-2.md)
- [3.ARP是地址解析协议-工作原理](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/3-2.md)
- [4.简单介绍几种协议](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/4-2.md)
- [5.TCP三次握手四次挥手](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/5-1.md)
- [6.在浏览器中输入百度首页后执行的全部过程](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/6-1.md)
- [7.TCP和UDP的区别](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/7.md)
- [8.TCP对应的协议和UDP对应的协议](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/8.md)
- [9.DNS域名系统，简单描述其工作原理](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/9.md)
- [10.面向连接和非面向连接的服务的特点是什么](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/10.md)
- [11.TCP的三次握手过程？为什么会采用三次握手，若采用二次握手可以吗](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/11.md)
- [12.了解交换机、路由器、网关的概念，并知道各自的用途](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/12.md)
- [二进制的原码反码补码](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/bu-ma.md)
- [哈希计算-冲突](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/interview/ha-xi.md)
- [spark-hadoop](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/spark-hadoop.md)
- [介绍](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/spark-hadoop/jie-shao.md)
- [启动与停止](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/spark-hadoop/start.md)
- [spark-ML-pipeine](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/spark-hadoop/spark-pipeline.md)
- [hadoop简介](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/spark-hadoop/hadoop-jian-jie.md)
- [hadoop安装-运行](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/spark-hadoop/install-hadoop.md)
- [运行spark](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/spark-hadoop/yun-xing.md)
- [spark-RDD](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/spark-hadoop/spark-rdd.md)
- [键值对-Pair RDD](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/spark-hadoop/pairrdd.md)
- [shell-linux](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shell-linux.md)
- [10个非常有趣的Linux命令](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shell-linux/10-ge-you-qu-linux-ming-ling.md)
- [Shell 文本处理工具集](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shell-linux/wen-ben-chu-li.md)
- [Makefile介绍](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shell-linux/makefile.md)
- [编写Makefile](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shell-linux/bian-xie-make-file.md)
- [linux](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/shell-linux/1.md)
- [java](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/java.md)
- [继承](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/java/ji-cheng.md)
- [泛型](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/java/fan-xing.md)
- [集合类](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/java/ji-he-lei.md)
- [Collection](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/java/ji-he-lei/collection.md)
- [Map](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/java/ji-he-lei/map.md)
- [C](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/c.md)
- [gcc编译](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/c/gcc.md)
- [随机数](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/c/sui-ji-shu.md)
- [指针](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/c/zhi-zhen.md)
- [typedef指针](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/c/typedef-zhi-zhen.md)
- [宏-宏函数](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/c/hong-hong-han-shu.md)
- [C++](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/c++.md)
- [从编写源代码到程序在内存中运行的全过程解析](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/c++/yun-xing-guo-cheng.md)
- [rust](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/rust.md)
- [安装](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/rust/start.md)
- [起步-helloworld](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/rust/qi-bu.md)
- [Cargo工具](https://im-qianuxn.gitbook.io/pytorch/ji-suan-ji/rust/cargo-tool.md)


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