10 steps to teach you how to install the Anaconda installer, Python must-see Getting Started with Data Analysis

 

 

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What is Anaconda?

Anaconda is based on a data processing and scientific computing platform Python, which integrates the 1500 + free and easy to install the module, fitted Anaconda, Python and the equivalent number of such Numpy, Pandas, Scrip, Matplotlib other commonly used automatic library installed, making installation easier than conventional Python installation.
Anaconda also comes with a Spyder, Jupyter Notebook and other interactive writing the code, debugging tool environment, as well as graphical management tool and other third-party libraries.

Why Anaconda it?

To sum up the advantages of Anaconda to eight words: save time and worry, the analysis tool.
Save your money: Anaconda by management toolkits, development environment, Python version, greatly simplifies your workflow. Not only easy to install, update, uninstall the kit, and can automatically install the appropriate dependencies during installation, while using different virtual environments to isolate different project requirements.
Analysis tool: the official website Anaconda is so promote their own: for enterprise big data analysis tool Python. It contains more than 720 scientific data related open source packages, data visualization, machine learning, deep learning and other aspects are involved. Not only do the data analysis, and even can be used in big data and artificial intelligence.

Anaconda how to install it?

 

Now Windows10,64 bit system as an example describes how to download and install.
1. Download the appropriate Windows installation package, it is recommended to download the following two ways:
. A official website
https://www.anaconda.com/distribution/#windows

 

b. Tsinghua open source software mirror sites

 

https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/

 

 

Note that this page contains a lot of historical version installation package, and time is not entirely in ascending order, you need to find yourself a little under the latest version of the installation package.
2. The installation package
STEP1: Click installation package to install, in a pop-up dialog box first "Welcome to Anaconda3 2019.10 (64- bit) Setup" , click on 'Next'.

 

STEP2: In the "License Agreement" dialog box, click "I Agree".

 

STEP3: In the "Select Installation Type" dialog box, select the "Only their own use" or "can be used for all users."

 

STEP4: in the installation directory "Choose Intall Location" dialog box, set the software, you can use the default directory, you can also change the specified directory.

 

 

STEP5: "Advanced Installation Options" Option 1: whether to add to the PATH environment variable Anaconda system.
When checked, you can use Anaconda in Windows-cmd command line. If not checked, it can only be found in the computer and use the Start menu Anaconda "Anaconda (64-bit)" in.
Check to direct.

 

"Advanced Installation Options" Option 2: whether the Anaconda Python compiler settings, the default Python compiler. If set, the compiler may be VSC, PyCharm detection software and used to directly check.

STEP6: Click "Install" button, install now, no follow-up confirmation dialog.

 

STEP7: all green progress bar (it takes a long time, please be patient), click "Next".

 

 

STEP8: If you do not use PyCharm, just click "Next".

After a successful installation displays the dialog box "Thanks for installing Anaconda".

 

STEP9: If you do not understand Anaconda Anaconda Cloud with initial guidance, cancel the check, and then click "Finish".

After a successful installation, you can find Anaconda3 (64-bit) entry in the start menu's.

 


Anaconda Navigtor: toolkit for managing the environment and graphical user interface, such as downloading and installing Python package, the official website need to be connected, sometimes not open.
Anaconda Prompt: command line window.
Jupyter notebook: a web-based interactive computing environment, people can edit a document easy to read, some people also use it to manipulate the data analysis.
spyder: use a Python language, cross-platform integrated development environment for scientific computing, plainly, this is what we need to use Python data analysis tools.

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Origin www.cnblogs.com/python0921/p/12660917.html