搜索资源列表
Python
- python 2.5,antlr的grammar语言描述,用于学习词法分析,语法分析-python 2.5, antlr language to describe the grammar for learning lexical analysis, syntax analysis
study_example
- 给出了《Python编程金典》第8章到第十章的编程实例，对学习Python的类和GUI编程很有帮助-Gives the " Python Code Jindian" Chapter 8 to chapter programming examples for learning Python classes and GUI programming helpful
study_python
- python入门学习程序，内含注释帮助新手第一时间了解python语法的特点。本人编写。-A python start learning program, including comments to help new bible get the point of python. Written by myself.
mlpy
- python for machine learning
koan
- python TDD learning python TDD learning -python TDD learningpython TDD learningpython TDD learningpython TDD learning
chapter2
- Python书籍的源码，让读者更好的学习Python语言，-Python source book, allowing readers to better learning Python language,
chapter3
- Python书籍的源码，让读者更好的学习Python语言，-Python source book, allowing readers to better learning Python language,Python source book, allowing readers to better learning Python language,
chapter4
- Python书籍的源码，让读者更好的学习Python语言，-Python source book, allowing readers to better learning Python language,
chapter5
- Python书籍的源码，让读者更好的学习Python语言，-Python source book, allowing readers to better learning Python language,
chapter6
- Python书籍的源码，让读者更好的学习Python语言，-Python source book, allowing readers to better learning Python language,
python
- [Python学习手册(第4版)].源代码-Learning Python 4th Edition (September, 2009). Here, you will find one text file per book chapter, containing all the source code in that chapter. Almost all the code in this book is short code snippets shown runn
NumPy-Beginners-Guide
- NumPy Beginner’s Guide - Second Edition的源码（《Python数据分析基础教程，munpy学习指南（第二版）》），有助于学习numpy。-NumPy Beginner s Guide- Second Edition source code ( Python data analysis based tutorial, munpy Study Guide (Second Edition) ), contribute to learning numpy.
KNNpython
- python实现的k-近邻算法，用于数据分类。机器学习实战-k- nearest neighbor python implemented for data classification. Machine learning combat
mechine-learning
- 本书第一部分主要介绍机器学习基础，以及如何利用算法进行分类，并逐步介绍了多种经典的监督学习算法，如k近邻算法、朴素贝叶斯算法、Logistic回归算法、支持向量机、AdaBoost集成方法、基于树的回归算法和分类回归树（CART）算法等。第三部分则重点介绍无监督学习及其一些主要算法：k均值聚类算法、Apriori算法、FP-Growth算法。第四部分介绍了机器学习算法的一些附属工具。 全书通过精心编排的实例，切入日常工作任务，摒弃学术化语言，利用高效的可复用Python代码来阐释如何处理统
machinelearninginaction
- 机 器 学 习 实 战 源 码(Machine learning combat source)
python learning the hard way
- learning python the hard way 的手打源码(the Source code of "learning python the hard way")
reinforcement-learning-an-introduction-master
- sutton强化学习书籍python源码(The codes of the book named Reinforcement Learning:An Introduction written by sutton.)
miczzb
- 以前的一个HTML练手作品，主要是学习交互以及布局处理(A previous HTML practice, mainly learning interaction and layout processing.)
yhblzt
- 以前的一个HTML练手作品，主要是学习交互以及布局处理(A previous HTML practice, mainly learning interaction and layout processing.)
Python深度学习
- 《Deep learning with Python》，本书的重点是用尽可能容易理解的方式来介绍深度学习背后的概念及其实现。