Install Python, anaconda and other software and configure the virtual environment
Overview
1. Install python3.6/3.7, Anaconda and jupyter, spyder software.
2. Create a virtual environment called exam1, and install the numpy, pandas, and sklearn packages in the virtual environment.
1. Software installation
1. Python installation
The installation of Python is actually quite simple, you can refer to the following installation tutorial.
Python download and installation graphic tutorial [super detailed] .
Related settings
Click next;
set according to the figure.
Wait for the installation to be
installed successfully, click close to
view the installation information
cmd命令输入python
If this message is displayed, it means that Python is installed successfully.
Installation package
The following is the Python installation package. If you need it, you can download it from Baidu network disk.
https://pan.baidu.com/s/1-fDFV6DQNSP37-OB7fsjGA .
Extraction code:r84j
2. Anaconda installation
For the installation information of anaconda, you can refer to this article of mine, which has this detailed explanation.
Similarly, if you have a demand for anaconda, you can go to Baidu Netdisk to download it yourself
https://pan.baidu.com/s/1u8mRRjSnQvsGnAymBpeNgA .
Extraction code:yvd9
3. Jupyter, spyder installation
In the home interface of the installed anaconda, there are jupyter and spyder installations, you can click launch;
jupyter's launch;
related application
code editing interface (Python language)
spyder's launch;
prompt processing, you can ignore it,
you can also follow the following method to install , Here is a link for everyone.
1. How to install the python editor spyder .
2. spyder 4.2.3 .
3. Jupyter .
Two, anaconda environment variable configuration
The environment variable configuration method is the same:
右键此电脑 -> 属性 -> 高级系统设置 -> 环境变量 -> path;
Check whether the environment variables are successfully configured.
win+RShortcut key to open the run window; then enter cmd and press Enter; finally execute in the opened command prompt conda;
if the above information appears, the anaconda environment configuration is successful.
Three, create a virtual environment
Follow the instructions to create a virtual environment
conda create -n （虚拟环境名称）exam1 python=3.8（Python版本号）
Waiting to download
Activate virtual environment
activate
Enter the virtual environment
conda activate exam1
Install numpy, pandas, sklearn
pip install numpy -i "https://pypi.doubanio.com/simple/"
pip install pandas -i "https://pypi.doubanio.com/simple/"
pip install sklearn -i "https://pypi.doubanio.com/simple/"
Extra commands
Activate the virtual environment:
activate your_env_name(虚拟环境名称)
exit the virtual environment:
deactivate env_name，
switch back to the root environment:
activate root
delete the virtual environment:
conda remove -n your_env_name(虚拟环境名称) --all
delete the package in the virtual environment:
conda remove --name $your_env_name $package_name（包名）
Four, summary and reference materials
1. Summary
This article is mainly about software installation, most of which can be found on Baidu. Learn together and make progress together!
2. Reference materials
Python learning network .
Anaconda creates a virtual environment and replaces the pip installation source .
The conda tool under Anaconda is selected as the tool for building the python virtual environment .