最近工作转型到数据开发领域,想在本地搭建一个数据开发环境。自己有三年python开发经验,马上想到使用numpy、scipy、sklearn、pandas搭建一套数据开发环境。
ubuntu的环境,百度中文章比较多,搭建起来非常顺利。MAC环境的资料比较少,百度出来的,已经不对了,那我就来补充一篇吧。
MAC自带python,python的安装我就不多说了。
安装pip
我喜欢用pip安装python库,非常方便,pip的安装只能用源码了。
#下载源代码 https://pypi.python.org/pypi/pip 我去下载的时候是 8.0.2版本 #解压 tar xvzf pip8.0.2.tar.gz #安装 cd pip-1.4.1 python setup.py install
安装numpy
numpy是基础,是scipy等其它库等基础,没什么依赖,安装起来相对简单。
pip install numpy
安装brew
numpy安装之后,就是安装scipy了,为什么插了一竿子呢?它依赖fortran库,fortran库的安装需要用到MAC的包管理工具homebrew
#下载brew curl -LsSf http://github.com/mxcl/homebrew/tarball/master sudo tar xvz -C/usr/local --strip 1
安装scipy
scipy 是sklearn的基础,但它依赖gfortran库,gfortran已经融入到gcc库中,安装gcc就好了,有了brew安装什么包都变得非常简单了。
#安装gcc库 brew install gcc #安装scipy pip install scipy 后面的安装,就按步就班了 #安装matplotlib,方便把数据绘图显示出来 pip install matplotlib #安装sklearn,我理解这个安装必须在pandas之前 pip install -U numpy scipy scikit-learn #安装pandas pip install pandas
到这里环境就搭建好了,开搞吧,其实搭起来也非常简单。提醒下,安装时注意权限,如果需要权限就在前面加个sudo。

Article discusses impossibility of tuple comprehension in Python due to syntax ambiguity. Alternatives like using tuple() with generator expressions are suggested for creating tuples efficiently.(159 characters)

The article explains modules and packages in Python, their differences, and usage. Modules are single files, while packages are directories with an __init__.py file, organizing related modules hierarchically.

Article discusses docstrings in Python, their usage, and benefits. Main issue: importance of docstrings for code documentation and accessibility.

Article discusses lambda functions, their differences from regular functions, and their utility in programming scenarios. Not all languages support them.

Article discusses break, continue, and pass in Python, explaining their roles in controlling loop execution and program flow.

The article discusses the 'pass' statement in Python, a null operation used as a placeholder in code structures like functions and classes, allowing for future implementation without syntax errors.

Article discusses passing functions as arguments in Python, highlighting benefits like modularity and use cases such as sorting and decorators.

Article discusses / and // operators in Python: / for true division, // for floor division. Main issue is understanding their differences and use cases.Character count: 158


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

Notepad++7.3.1
Easy-to-use and free code editor

Zend Studio 13.0.1
Powerful PHP integrated development environment

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

Atom editor mac version download
The most popular open source editor
