Draw on other blog posts and make a summary in person:
Anaconda is an easy-to-use tool for managing packages in Python. I believe you will have this experience. pycharm also has the function of automatic search and download. However, this function can be used for some packages, however, some packages may fail to be downloaded or cannot be queried. This is very distressing, which leads to the benefits of anaconda.
The following are the comments posted from other places:
The advantages of anaconda are summarized into eight words: saving time and effort and powerful analysis tools.
. Saves time and effort: Anaconda greatly simplifies your work flow by using the management toolkit, development environment, and Python version, and allows you to easily install, update, and uninstall the toolkit, in addition, the corresponding dependency packages can be automatically installed during installation, and different packages can be used to isolate projects with different requirements in your environment.
Analysis Tool: On the official Anaconda website, I publicized myself as follows: the python tool used for enterprise-level Big Data Analysis contains more than 720 open-source scientific packages, data visualization, machine learning, and deep learning are all involved. It can not only perform data analysis, but also be used in the big data and AI fields.
Next, let's talk about anaconda's 'handler ':
(1) When we install anacnonda, this tool comes with many Python packages. We can find the visualization in pycharm.
(2) When the package system we need does not exist, we can easily download the package online, which is absolutely satisfactory to you.
Briefly describe the usage:
Installing anaconda
1, first we go to the official website by Anaconda (https://www.anaconda.com/download/), as shown in, will see the anaconda download page, according to your own version to download:
2. After the download is complete, an anaconda executable file is generated. Double-click the executable file, as shown in the following figure:
3. Click Next To Go To The page:
4. You can select one here. Generally, you can use one account (you can also select the second account if necessary) and next:
5. Click ''broese ''in the figure, select the file installation location (generally, it is not recommended to install it on drive C), and Click 'Next:
6. Here, the second example is recommended. Because python. EXE can be used normally, conflicts may occur.) You can find the installation directory of the file in pycharm and add it as needed.
After installing Anaconda, let's take a look at how to import anaconnda to pycharm:
1. In pyharm, click "file" and select "setting", as shown in:
2. You will see "project interpreternames" on the right. You should select the location of python.exe in your anaconda.
Pycharm and anaconda