How To Use Anaconda&Pycharm | Anaconda super detailed installation tutorial
introduction
I recently reinstalled the system and needed to reconfigure the development environment. I remembered that I didn’t know anything about development tools before, and my development environment was a mess. Although it could be used, it couldn’t use the powerful functions of Anaconda+Pycharm, so I planned to write a tutorial on the installation and use of Anaconda and Pycharm to help Some computer novices like me.
Article structure
Anaconda
Introduction to Anaconda
Anaconda (official website) is a distribution version that can easily obtain and manage packages, and at the same time, the environment can be managed uniformly. Anaconda includes more than 180 scientific packages and their dependencies including conda and Python. 1
Simply put, anaconda integrates most of the dependencies and toolkits developed in Python and provides a container that can manage these dependencies and toolkits.
Anaconda installation tutorial
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Enter the Anaconda official website , click Free Download in the upper right corner to download Anaconda (pay attention to your computer configuration, I am Win, 64-bit)
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After the download is complete, we open the folder where the Anaconda installation package is located, click on the installation package, and start the installation program
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Enter the interface and select Next > I Agree > Just Me >****
At this point, enter a Destination Folder path selection and install it according to your personal needs. It is generally not recommended to install to the C drive. Here I will change it to the D drive installation. The subsequent paths will not change. It is recommended that you remember
this path and add environment variables later. It is needed when
Then click Next
and such an interface will appear (python3.11), as shown in the figure.
If you need to use multiple versions of python or multiple different versions of anaconda, it is recommended that you choose the second option , which is Add Anaconda3 to my PATH environment variable , otherwise it will not be selected, I will not select it here.
Click Next and Anaconda will start to be installed.
4. After the download is completed, keep clicking Next and Anaconda will be opened for the first time.
However, we cannot use Anaconda yet, and we need to add Anaconda's environment variables first.
5. Copy the Anaconda download path we just created. It doesn’t matter if you don’t remember it. We can find the Anaconda icon on the desktop, right-click to open the file location, and it’s OK.
my path
D:\Users\Crabfish\anaconda3
and we also need to use this path
D:\Users\Crabfish\anaconda3\Scripts
6. Add environment variables
to win system, search for advanced system settings in the search bar , open it, click Environment Variables.
In System Variables , find Path and click Edit .
After entering, click New, copy the path just now,
confirm, and close the window.
The Anconda installation is complete. The next step is to use anaconda to configure the environment. So let's first check whether we have downloaded anaconda.
Windows users, please open "Anaconda Prompt"
. This is the basic environment of conda.
We enter >conda --version to view the conda version.
Enter >conda info to view conda information
. If it is displayed normally, it means that anaconda is installed successfully.
##Anaconda usage
Now we officially use Anaconda to configure our environment.
Add domestic mirror source
Anaconda's default download sources for various packages are all abroad. The download speed is slow and often interrupted. Therefore, it is necessary to configure a domestically installed mirror. Then at this time, you need to set up a mirror source to improve the download speed. We choose Tsinghua University's here. Mirror source.
View current mirror source
We first enter Anaconda Prompt 
and enter the following command to view the current mirror source.
conda config --show channels
defaults means that no mirror source is currently added.
2) Create an environment
. There are four mainstream methods for creating a virtual environment. Here is a blog for you to choose.
How to create a virtual environment in Python , here is the conda create method.
Enter conda create --n name python=3.9 on the command line
Among them, conda create --n is the command to create a virtual environment. –n means that it is followed by the name of the environment. The name can be changed by yourself. The subsequent python=3.9 is equivalent to the installation package required for the environment, or it can be Jupyter notebook. It can also be other dependencies, =3.9 is equivalent to the version that requires python to be downloaded.
After entering the command, we can see that the system is undergoing installation planning.
Here you will be provided with the Package Plan, which is the installation package that will be downloaded in the virtual environment, such as python, pip, etc. Then there will be another option here, enter y, that is Can.
At this time, he will start to create a virtual environment and install some of the installation packages you need.
After the installation is complete, we can notice his prompt,
which is equivalent to telling us that if we want to enter the virtual environment, we need to enter the command:
conda activate name
If we want to exit this virtual environment, then we need to enter the command:
conda disabled
Now, let's try to enter this virtual environment.
We can notice that the (base) in front of the path becomes the name of our virtual environment, which means that we have successfully entered the virtual environment we created from the basic environment.
Then at this time, we can add our mirror source here.
Enter the command:
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
As shown in the picture, it means it has been added successfully.
3. Install related packages.
If you need to add other dependencies and installation packages when you just created the virtual environment, including subsequent learning, then you can use **pip install** to complete it. The pip command can be used very well. Help us download the required packages.
For example:
pip list to view existing installation packages
pip install to download the installation package
pip uninstall to delete the installation package
(Numpy is downloaded at the same time here because downloading opencv requires downloading numpy first)
Here we can see that opencv–python has been installed.
At this point, do you feel that maybe downloading this way is too complicated?
When we download the project on GitHub, a file named requirement.txt will be provided in the code repository. This is actually the relevant installation package and version number required for environment configuration. We only need to execute it to install it with one click, pip install -r requirements.txtand This method is offline downloading, that is, offline downloading. However, the installation of the mirror source still requires an Internet connection.
pip uses requirement.txt to download
Check the current virtual environment
conda env list
I won't go into details about the use of virtual environments here. I will just talk about the general use here. If any friends want to know the various uses of virtual environments in detail, then I will provide a blog here with detailed virtual environment usage commands.
Use of virtual environments
Pycharm
Introduction to Pycharm
Pcharm is an integrated environment for Python developers. It has IDE, Markdown and other functions. It can solve most py development needs in one piece. Combined with the functions of conda, it is simply not perfect.
Installation of Pycharm
For the installation of pycharm on the pycharm official website
, I will provide you with a pycharm installation tutorial by Chuanchuan Noob, which is very good.
If you have installed anaconda according to the anaconda installation tutorial I provided above, there is no need to download python additionally. Just follow the tutorial to download pycharm and you are good to go.
pycharm installation
Add conda environment in Pycharm
We enter pycharm, click, create a new project
, select the previously configured interpreter , click Add Interpreter > Add Local Interpreter,
select the conda environment
, find the Scripts folder in the file path where we downloaded anaconda, there will be one in itconda.exe , click it.
Here we choose to use the existing environment, and select the virtual environment we created
and click OK
Click Create to enter the project.
After entering, it will show that the relevant interpreter is being loaded. We only need to wait for it to finish loading.
After the loading is completed, we try to run main. The green triangle in the upper right corner is the run button.
We can see that the runtime console outputs normally, indicating that we have completed the cooperation between pycharm and anaconda, and the environment configuration is now complete.
Pycharm plug-in recommendations
To install the plug-in, we only need to find filethe key in the upper left corner, click it setting, and then find it plugins. You can download the plug-in here. As long as you restart, the plug-in will run.
Pycharm, like vscode and vs, has many rich plug-ins. Here are several plug-in recommended blogs, which also introduce the use of related plug-ins. You can download them by yourself.
Plug-in recommendation
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I hope my article can be helpful to you, and I hope everyone can have a happy day.