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Python
介绍一些Python 的背景知识,包括Python、Python 的起源和它的一些关健特性。一旦你来了兴致,我们就会向你介绍怎样获得Python 以及如何在你的系统上安装并运行它。本章最后的练习将会帮助你非常自如地使用Python,包括使用交互式解释器以及创建并运行脚本程序。(Some Python background knowledge, including Python, Python' s origins and its Key characteristics. Once you got into high spirits, we will introduce you how to get the Python and how to install and run it on your system. The chapter concludes with exercises will help you very comfortable using Python, including the use of an interactive interpreter, as well as create and run scripts.)
- 2013-03-18 20:59:42下载
- 积分:1
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PYTHON
说明: 这个是本人的python机器学习与入门编程的练习文本,程序调试基本正确,利于入门者练习参考。(This is my python machine learning and introductory programming practice text, program debugging is basically correct, helpful for beginners to practice reference.)
- 2019-02-28 17:35:08下载
- 积分:1
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射击游戏
基于pygame简单的2维平面射击游戏。python新手可以参考(A Simple 2-D Planar Shooting Game Based on pyGame)
- 2019-04-20 10:14:01下载
- 积分:1
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land surface t
python读取cloudsat卫星数据并画图分析(Python reads CloudSat satellite data and draws pictures.)
- 2018-11-14 22:22:43下载
- 积分:1
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shaolei
基于python的扫雷小游戏,不需要安装其他库(Minesweeper game based on python.)
- 2018-08-25 12:07:26下载
- 积分:1
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Chapter02
说明: 《PyQt5快速开发与实战》
第二章节 程序(PyQt5 Rapid Development and Practice
Chapter 2 Procedure)
- 2019-07-28 21:30:14下载
- 积分:1
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纯Aloha和时隙Aloha的性能仿真
纯Aloha和时隙Aloha的性能仿真比较,使用Python语言
- 2022-05-05 00:30:27下载
- 积分:1
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classification
利用keras实现文本分类,分词,并对微博文本进行情绪分析(Using keras to implement text classification)
- 2018-05-17 16:40:38下载
- 积分:1
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python 监督分类
对光学遥感影像进行分类,对特征进行标记,使用SVM、随机森林进行分类预测精度
- 2021-05-06下载
- 积分:1
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DBScan-master
说明: 这是使用Python实现的DBScan。像Numpy、熊猫这样的图书馆也被使用过。DBScan算法已经在两个变色龙数据集t4.8k和t5.8k上进行了测试。然后利用matplotlib将得到的结果可视化。为了便于比较,本文将所得到的输出结果与DBScan实现的skLearning库的结果进行了比较。计算每个数据集的同质性和分离度,以观察簇间的相似性和不同的度量。epsilon和min值分别为8.5和16.5。(This is a DBScan implemented using Python. Libraries like Numpy and Panda have also been used. DBScan algorithm has been tested on two chameleon datasets t4.8k and t5.8k. Then the results are visualized by matplotlib. In order to facilitate comparison, the output results are compared with those of skLearning library implemented by DBScan. The homogeneity and segregation of each data set are calculated to observe the similarity and different measures between clusters. Epsilon and min were 8.5 and 16.5 respectively.)
- 2019-06-13 18:33:28下载
- 积分:1