pycharm下载pycharm--2020.3.4
时间: 2023-11-11 18:00:33 浏览: 241
好的,你的问题是关于 PyCharm 的下载。你可以按照以下步骤下载 PyCharm 2020.3.4:
1. 打开 PyCharm 官网:https://www.jetbrains.com/pycharm/download/
2. 选择你需要的版本(Professional 或 Community)和操作系统(Windows、macOS 或 Linux)
3. 点击“Download”按钮下载安装包
4. 下载完成后,双击安装包进行安装
如果你遇到了任何问题,可以在官网上查看详细的安装指南或者在社区论坛上寻求帮助。
相关问题
Anaconda3-2020.02下载 pycharm
您好!您可以通过以下步骤下载Anaconda3-2020.02和PyCharm:
1. 访问Anaconda官方网站:https://www.anaconda.com/products/individual
2. 在页面中找到"Anaconda Individual Edition"部分,并选择适合您操作系统的版本(Windows、macOS或Linux)。
3. 单击下载按钮,等待下载完成。
4. 访问PyCharm官方网站:https://www.jetbrains.com/pycharm/
5. 在页面中找到"Download"部分,并选择适合您操作系统的版本(Community或Professional)。
6. 单击下载按钮,等待下载完成。
完成上述步骤后,您将获得Anaconda3-2020.02和PyCharm的安装程序。接下来,您可以按照安装向导的指示进行安装。祝您顺利安装!如有其他问题,请随时提问。
pycharm2020.3.5annaconda
### PyCharm 2020.3.5 with Anaconda Installation and Configuration Guide
#### Installing Anaconda
To install Anaconda on a Linux system, one can use the following commands after downloading the installation package:
```bash
$ bash ~/Downloads/Anaconda3-2020.02-Linux-x86_64.sh
```
Once installed, initially running `conda list` might result in an error indicating that the command cannot be found[^1]. This issue arises because the path to Conda has not been added to the system's PATH variable.
#### Configuring Environment Path for Anaconda
Adding Anaconda’s binary directory to the PATH ensures that all its binaries are accessible from any location within the terminal session or script.
```bash
$ export PATH=~/anaconda3/bin:$PATH
```
After setting up this environment variable, executing `conda list` should now display information about the packages present in the specified Anaconda environment.
#### Setting Up PyCharm Professional Edition (Version 2020.3.5)
For integrating PyCharm with Anaconda effectively:
Ensure both applications—PyCharm version 2020.3.5 and Anaconda—are properly set up as described above. Within PyCharm settings, configure project interpreter options by selecting Python interpreters managed through Anaconda environments specifically created for development projects using tools like Jupyter Notebook, pandas libraries etc., which come pre-installed via Miniconda or full Anaconda distribution.
#### Verifying Integration Between PyCharm & Anaconda Interpreter
Within PyCharm IDE, navigate to File -> Settings -> Project: <project_name> -> Python Interpreter; here choose appropriate anaconda python executable ensuring correct integration between these two powerful software suites used extensively across data science communities worldwide today.
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