Anaconda3官方电脑版

Anaconda3官方版是一款功能强大的Python数据分析软件。Anaconda3最新版汇集了数据科学领域常见的Python库,可以帮助用户轻松的管理自己常用的一些数据包和代码。Anaconda3软件还内置了用来解决软件环境依赖问题的conda包管理系统,满足用户的各种需求。51下载站为您提供Anaconda3免费下载!

Anaconda3使用方法

下载完成后,得到一个shell脚本文件,执行该文件(文件名可能因为版本不同有所差异):

进入安装程序,提示输入“ENTER”继续:

Please,pressENTERtocontinue

>>>ENTER

按回车后,进入用户协议阅读,你不会真的去读的对吧,再按回车,一直按,按到出现如下提示,输入yes并回车:

Pleaseanswer'yes'or'no':'

>>>yes

接着提示安装位置,按回车默认即可,进入安装。安装完毕后,提示是否需要加入环境变量,输入yes并回车。安装完成,可能还会提示你安装MicrosoftVSCode,不想用就输入no然后就结束安装。

如何确定自己安装没毛病

输入python命令,出现anaconda的标识,如下图,随后exit()退出命令行:

python命令行

检查conda命令,例如查看conda版本:

conda--version

若提示命令不存在:

conda:未找到指令

则可能是环境变量没有正确加载,将命令source~/.bashrc写入到文件.bash_profile中,再执行source~/.bash_profile即可。

最后,升级全部软件包,以避免可能出现的问题:

condaupgrade--all

使用

除安装即有的默认环境外,有时我们需要根据不同的项目使用不同的python版本。原生python如何切换版本改环境变量、改软连接,略麻烦。而使用Anaconda就能很方便得管理各种python环境。

例如,现在需要一个新的名为“test”的python3.5环境,使用如下:

创建虚拟环境

输入如下命令,输入y开始下载:

condacreate-ntestpython=3.5

离线断网情况下,新建环境可加参数进行离线安装:

condacreate-ntestpython=3.5--offline

切换虚拟环境

sourceactivatetest

也可查看当前全部虚拟环境,选择自己需要的环境进行切换,比如年纪大了忘了自己建的环境名是什么的时候:

condaenvlist

独立安装第三方包

进行第2步,正确切换到新环境后,进行第三方包的安装,可以使用python的pip命令:

pipinstallpandas

或者Anaconda的conda工具:

condainstallpandas

卸载第三方包

pipuninstallpandas

查看当前环境包信息

condalist

导入导出环境

Anaconda支持导入导出以方便迁移,还是老规矩,先进入你要操作的环境,例如test

导出环境信息到文件,文件名自己取:

condaenvexport>environment.yaml

导入环境信息,即根据配置文件创建一个新环境:

condaenvcreate-fenvironment.yaml

切回默认环境

sourceactivate

删除环境

condaremove-ntest--all

回退至原生python

安装结束后,打开电脑的CMD命令行(使用WIN徽标键+R,然后输入CMD,点击OK),

在其中输入python,如果返回的信息为下图中的2,并且提示符为下图中的3,则安装顺利完成。

Anaconda3软件简介

Anaconda是一个开源的Python发行版本,其包含了conda、Python等180多个科学包及其依赖项。Anaconda能轻松安装在数据科学工作中经常使用的包。可以使用它创建虚拟环境,以便更轻松地处理多个项目。

Anaconda是专门为了方便使用Python进行数据科学研究而建立的一组软件包,涵盖了数据科学领域常见的Python库,并且自带了专门用来解决软件环境依赖问题的conda包管理系统。

主要是提供了包管理与环境管理的功能,可以很方便地解决多版本python并存、切换以及各种第三方包安装问题。

Anaconda3软件功能

安装Anaconda之后,我们就可以很方便的管理安装包(安装,卸载,更新)。

安装包

conda的包管理功能和pip是一样的,当然你选择pip来安装包也是没问题的。

1.#安装matplotlib

2.condainstallmatplotlib

卸载包

1.#删除包

2.condaremovematplotlib

更新包

1.#包更新

2.condaupdatematplotlib

查询已经安装的包

1.#查看已安装的包

2.condalist

Anaconda3安装步骤

1.在51下载站下载Anaconda3官方版安装包,解压后,双击“exe”文件,进入安装向导,单击Next

2.阅读许可协议,单击IAgree

3.选择安装类型,单击Next

4.点击“Browse”选择安装位置,一般默认在C盘,推荐安装在D盘,单击Next

THE END
1.Python中文网官网# Python 3: 斐波那契数列 up to n>>> def fib(n): >>> a, b = 0, 1 >>> while a < n: >>> print(a, end=' ') >>> a, b = b, a+b >>> print() >>> fib(1000)0 1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987 https://python.p2hp.com/index.html
2.python3Welcome! This is the official documentation for Python 3.13.1. Documentation sections: What's new in Python 3.13? Orall "What's new" documents since Python 2.0 Tutorial Start here: a tour of Python's syntax and features Library reference http://docs.python.org/
3.python语言的官方网站地址,python语言官方网站网址大家好,小编来为大家解答以下问题,python语言的官方网站地址,python语言官方网站网址,现在让我们一起来看看吧! 目录 一、基础学习网站 Python官方教程 Python官方安装包地址 PyCharm下载地址 anaconda3清华开源下载地址 二、爬虫学习网站 requests官方学习网站 BeautifulSoup文档网站 selenium官方学习网站 scrapy中文学习网站 三https://blog.csdn.net/2301_81337765/article/details/136146219
4.9个免费学习Python的网站和教程(2023年最新资源)学吧导航除开Python教程外,廖雪峰的官方网站还出品了免费的Java教程、JavaScript、Git教程等热门教程。 3. freeCodeCamp - The Python Handbook 地址:https://www.freecodecamp.org/news/the-python-handbook/ 介绍:The Python Handbook(Python手册)是由freeCodeCamp.org创建的Python编程语言的教程和指南的集合。它涵盖了广泛https://www.xue8nav.com/1545.html
5.python364位下载python3.13.164bit2024(python开发环境工具)官方☉ 如果遇到什么问题,请评论留言,我们定会解决问题,谢谢大家支持! ☉ 本站提供的一些商业软件是供学习研究之用,如用于商业用途,请购买正版。 ☉ 本站提供的python 3.13.1 64bit 2024(python开发环境工具) 官方正式版(附安装教程)资源来源互联网,版权归该下载资源的合法拥有者所有。https://www.jb51.net/softs/597875.html
6.PythonTutor3return 0 4else: 5(f, rest) = numbers 6return f + listSum(rest) 7 8myList = (1, (2, (3, None))) 9total = listSum(myList) Here are some examples of how it visualizes Java, C, and C++ code: How the Python Tutor visualizer can help students in your Java programming courseshttps://www.pythontutor.com/
7.?qtforpythonQt for Python official logo. TheQt for Pythonproject aims to provide a complete port of thePySidemodule to Qt. The development started onGitHubin May 2015. The project managed to port PySide to Qt 5.3, 5.4 & 5.5. During April 2016 The Qt Company decided to properly support the port (https://wiki.qt.io/PySide2
8.GitHubpython scripts/mk_make.py --prefix=/home/leo --python --pypkgdir=/home/leo/lib/python-2.7/site-packages If you do need to install to a non standard prefix a better approach is to use aPython virtual environmentand install Z3 there. Python packages also work for Python3. Under Windowshttps://github.com/Z3Prover/z3
9.MySQLforPythondownloadSourceForge.netMySQLdb is a Python DB API-2.0-compliant interface; see PEP-249 for details. For up-to-date versions of MySQLdb, use the homepage link. Supported versions: * MySQL versions from 3.23 to 5.5; 5.0 or newer recommended. MariaDB should also work. * Python versions 2.4-2.7; Python 3 supporthttps://sourceforge.net/projects/mysql-python/
10.AnacondaTheOperatingSystemforAIDATA Local Cloud Container Server ANACONDA HUB NavigatorLaunch applications from your desktop CondaMiniconda Software DistributionTrusted public and private repositories Python & ROpen-source data science & AI packages Package Security ManagerTrusted asset repository https://www.anaconda.com/
11.Requests:HTTPforHumans?—Requests2.32.3documentationRelease v2.32.3. (Installation) Requestsis an elegant and simple HTTP library for Python, built for human beings. Behold, the power of Requests: >>>r=requests.get('https://api.github.com/user',auth=('user','pass'))>>>r.status_code200>>>r.headers['content-type']'application/json;http://docs.python-requests.org/
12.lxmllxml - the most feature-rich and easy-to-use library for processing XML and HTML in the Python languagehttps://lxml.de/
13.djangorestframework官网Many thanks to all ourwonderful sponsors, and in particular to our premium backers,Sentry,Stream,Spacinov,Retool,bit.io,PostHog,CryptAPI,FEZTO,Svix, , andZuplo. REST framework requires the following: Django (4.2, 5.0) Python (3.8, 3.9, 3.10, 3.11, 3.12) https://www.django-rest-framework.org/
14.pythonpygamepython3 -m pip install -U pygame==2.6.0 Read therelease notesto find out what changed. Please file an issue if you notice a problem: https://github.com/pygame/pygame/issues pygame 2.5.2 - yet another bug fix release — 18 Sep, 2023 https://www.pygame.org/
15.antlr3(Windows must add..\LocalCache\local-packages\Python310\Scriptsto thePATH). See theGetting Starteddoc. Paste the following grammar into fileExpr.g4and, from that directory, run theantlr4-parsecommand. Hit control-D on Unix (or control-Z on Windows) to indicate end-of-input. A window shohttps://www.antlr.org/
16.海龟编辑器官方下载Python编辑器少儿编程编辑器-海龟编辑器-体验网页版Create Online无需安装 即刻体验该系统不支持System not support下载Mac版下载win32位下载win64位 在线版 在线运行 云端实时保存 支持硬件编程 体验PythonPython体验硬件编程micro:bit PC客户端 一键安装第三方库 扩展功能强大 支持硬件编程 https://python.codemao.cn/
17.Thonny,PythonIDEforbeginnersInstaller(installs private Python 3.10 on x86_64, uses existing python3 elsewhere) bash <(wget -O - https://thonny.org/installer-for-linux) Re-using an existing Python installation(for advanced users) pip3 install thonny 3rd party distributions(may have older version) https://www.thonny.org/
18.python(viajython)The Jython project provides implementations ofPythoninJava, providing to Python the benefits of running on the JVM and access to classes written in Java. The current release (a Jython 2.7.x) only supports Python 2 (sorry). There is work towards a Python 3 in the project’s GitHub repositoryhttp://www.jython.org/
19.pypy3PyPy Afast,compliantalternative implementation ofPython Download PyPy What is PyPy? Documentation(external link) On average, PyPy is4.4 times fasterthan CPython 3.7. We currently support python 3.10 and 2.7. PyPy (with JIT) benchmark times normalized to CPython. Smaller is better. Based on thehttp://www.pypy.org/
20.SQLAlchemySQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. It provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple https://www.sqlalchemy.org/
21.SeleniumSelenium automates browsers. That's it!http://www.selenium.dev/
22.pandaspandas pandasis a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of thePythonprogramming Ecosystem With the support of: The full list of companies supportingpandasis available in thesponsors page. What's new in 2.2.3 http://pandas.pydata.org/
23.首页廖雪峰的官方网站为您提供原创精品中文教程: 最新发表的博客文章: December 3, 2024 自制遥控机械臂 October 23, 2024 用MarsCode AI高效刷题 October 21, 2024 国产MarsCode AI编程助手不完全测评 June 21, 2024 GPU简史兼论Nvidia的崛起 May 6, 2024 https://www.liaoxuefeng.com/
24.pip3Project description pip is thepackage installerfor Python. You can use pip to install packages from thePython Package Indexand other indexes. Please take a look at our documentation for how to install and use pip: Installation Usage We release updates regularly, with a new version every 3 monthhttps://pypi.org/project/pip/
25.PyAudio:Crosssudo apt-get install python3-pyaudio If the latest version of PyAudio is not available, install it using pip: pip install pyaudio Notes: pip will download the PyAudio source and build it for your system. Be sure to install the portaudio library development package (e.g.,portaudio19-dev)https://people.csail.mit.edu/hubert/pyaudio/
26.SpyderThePythonIDEthatscientistsanddataanalystsswitch to light / dark version the python ide that scientists and data analysts deserve designed by the community, for the community the spyder advantage get the ease of use of jupyter along with many advanced features found in pycharm and vscode in a single programming environment interactive http://www.spyder-ide.org/
27.莫烦Python网零基础入门机器学习不是一件困难的事. 机器学习或者深度学习本来可以很简单, 很多时候我们不必要花特别多的经历在复杂的数学上.数学只是一种达成目的的工具, 很多时候我们只要知道这个工具怎么用就好了, 后面的原理多多少少的有些了解就能非常顺利地使用这样工具.https://www.mofanpy.com/
28.scikitlearn:machinelearninginPython—scikitExamples Dimensionality reduction Reducing the number of random variables to consider. Applications:Visualization, increased efficiency. Algorithms:PCA,feature selection,non-negative matrix factorization, andmore Examples Model selection Comparing, validating and choosing parameters and models. http://scikit-learn.org/stable/
29.BoostC++Librariesone of the most highly regarded and expertly designed C++ library projects in the world.—Herb SutterandAndrei Alexandrescu,C++ Coding Standards Welcome to Boost.org! Boost provides free peer-reviewed portable C++ source libraries. We emphasize libraries that work well with the C++ Standard Libhttps://www.boost.org/
30.Welcometoweb.py!(web.py)python3 app.py Who uses web.py? web.py was originally published while Aaron Swartz worked atreddit.com, where the site used it as it grew to become one of the top 1000 sites according to Alexa and served millions of daily page views. “It’s the anti-framework framework. web.py doesnhttps://webpy.org/