Python for Data Analysis
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[Python for data Analysis]Python Basic
一些基本特性: 缩进 everything is an object Each object has an associated type (for example, string or function) and internal data. import import random from random import * from random import shuffle原创 2016-02-07 03:47:50 · 770 阅读 · 0 评论 -
[Python for Data Analysis] 环境及帮助查询
Appendix 语言基础 环境: 下载anaconda2 在ubuntu15.04系统下 1. 运行方式 (1) python hello.py (2) ipython: run python 2. 获取帮助方式 (1) dir(obj) 一般用于获取obj member和method (2) help(a) a 的属性详细说明 (3) ipyt原创 2016-01-22 23:42:00 · 355 阅读 · 0 评论 -
[Python for Data Analysis] Python Basic--Function
argument可以是scalar type, 也可以是list等data structure,可以是function object都可以Positional arguments and keywords argumentIn [3]:def my_function(x,y,z = 1.5): if z>1: return z*(x+y) else:原创 2016-02-10 09:43:40 · 529 阅读 · 0 评论 -
[Python for Data Analysis]Python Basic2--Data Structure and Sequences
Tuple 初始化 In [2]: tup tup = 4,5,6 tup Out[2]: (4, 5, 6) In [3]: nested_tup nested_tup = (4,5,6),(7,8) nested_tup Out[3]: ((4, 5, 6), (7, 8)) In [4]: tuple([1,2,3]) Out[4]: (1, 2, 3) In [6]: tup原创 2016-02-10 06:27:31 · 546 阅读 · 0 评论 -
[Python for Data Analysis]Chapter3 --Ipython
Ipython 历史 2001 Fernando Perez 优点 execute-explore workflow instead of the typical edit-compile-run workflow tight integration with operating system’s shell and file system. Since much of data a原创 2016-02-15 04:07:41 · 1098 阅读 · 0 评论 -
[Python for Data Anlysis]CH04 Numpy Basics -- Arrays and Vectorized Computation
NumPy Basics: Arrays and Vectorized Computation NumPy, short for Numerical Python, is the fundamental package required for high performance scientific computing and data analysis. ndarray mathemat原创 2016-02-18 14:57:02 · 1145 阅读 · 0 评论 -
Python Basics
Python Syntax Data Type Indention Math Operation Comment String and console output 转移字符\ Access by index Strig Method str() Not Notation Printing Strings print variables Advanced printing string concat原创 2016-03-05 14:21:33 · 762 阅读 · 0 评论
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