搜索资源列表
TradeX-API-master
- TradeX.dll 股票交易、行情接口合二为一TradeX.dll 完全兼容原有的trade.dll下单业务，整合了行情数据 解决了华泰等券商服务器无法正常连接的问题，在任何时间段都可以正确取数据 支持VC,VB，C#，Python，直连交易服务器和行情服务器 py27-demo.py --> python-api演示文件 TradeX.dll --> TradeX行情交易接口 TradeX.lic --> TradeX许可文件TradeX-0.1.win32-py2.7
CriticalPath0517
- 北航的离散数学课上的图论作业，是关于关键路径的py程序(Graph operation on discrete mathematics course of BUAA)
image_obtainer.py
- python的爬虫demo 很简单 实用 适合初学者(python net scrappers for beginners, very easy to understand and use)
Work
- 合并csv及类似文件 调用格式: python "merge file by line.py" target.csv D:/source/pattern*.csv target.csv 输出结果路径 D:/source/pattern*.csv 输入文件路径, 支持星号(*)匹配(Merging CSV and similar documents Call format: Python "merge file by line.py" target.
finally.py
- 用树莓派实现人脸识别，通过分析出的表情播放音乐(Using raspberry pie to realize face recognition and play music)
MDP_pi.py
- Reinforcement Learning. Policy iteration algorithm. Original coded.
pi.py
- Reinforcement Learning policy iteration algorithm
MDP_vi.py
- reinforcement learning value iteration algorithm
ql_sarsa.py
- Reinforcement Learning, Q-learning algorithm, originally coded
4a-module.py
- machine learning, linear regression algorithm, originally coded
5.2.2.py
- MNIST数字识别问题 使用验证数据集判断模型结果(tensorflow.examples.tutorials.mnist After 30000 training step(s), test accuracy using average model is 0.9835)
piechart.py
- 统计一段文字中各元音字母个数，用饼状图表示出来(calculate the number of each vowels in sentences or paragraphs)
CTFcryptoCrack
- 各种加解密（凯撒，base64，rot等），各种编码解码，可添加识别py脚本(Various encryption (Kaiser, base64, rot, etc.), various encoding decoding, can be added to identify the py scr ipt)
tjyqhdmhcxhfdm.py
- 从网络上抓取统计用区划编码用于研究行政区划(Zoning code for grasping statistics)
py
- 一种基于python的利用分子动力学方法绘制出多粒子二维散射图的程序(A program based on Python to draw multi particle two-dimensional scattering diagram by molecular dynamics method)
count_word_freq.py
- Count Word Frequency
hog.py.tar
- python提取HOG特征，80行代码实现HOG(extract hog feature for python)
load_face_dataset.py
- 本节主要是讲解决用python在人脸识别中获取人脸的Jpg文件(This is code with get face code use cv2)
Face3.py
- 此代码使用Python获取设备中的图象并处理(us CV open camera and save capture picture)
face_train_use_keras.py
- 1.处理图像 2.机器学习 3.训练 4.生成训练文件(1. processing images 2. machine learning 3. training 4. generate training files)