Let's break down each of your errors first, then walk through step-by-step solutions to get your Conda environment working smoothly in PyCharm:

1. Why anaconda.exe create fails #

anaconda.exe is the launcher for the Anaconda Navigator GUI app—not the command-line tool for managing environments. You should always use conda.exe (located in C:\Logiciels\Anaconda3\Scripts\) for environment creation and package management tasks.

2. Fixing CondaHTTPError (SSL module unavailable) #

This error typically comes from one of three root causes: missing SSL libraries in your Anaconda install, network/proxy blocks, or misconfigured Conda repositories. Here's how to resolve it:

• Check SSL libraries: Navigate to C:\Logiciels\Anaconda3\Library\bin and confirm you have libssl-1_1-x64.dll and libcrypto-1_1-x64.dll. If they're missing, reinstall Anaconda with admin privileges, and make sure to check "Add Anaconda to my PATH environment variable" during setup.
• Test with temporary SSL verification disable: Run this command in Anaconda Prompt (note: this is for testing only, not long-term use):

  conda config --set ssl_verify false
  

• Switch to reliable domestic mirrors: Replace your .condarc file (found in C:\Users\hel\.condarc) with the following to use Tsinghua University's mirrors (faster and more stable for Chinese users):

  channels:
    - defaults
  show_channel_urls: true
  default_channels:
    - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
    - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
    - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
  custom_channels:
    conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
    msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
    bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
    pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  

3. Why python.exe create fails #

python.exe is for running Python scripts—it has no create command for environment setup. Stick with conda.exe for managing Conda environments.

Step-by-Step Guide to Add Conda Interpreter in PyCharm #

Once you've fixed the Conda SSL issue, follow these steps to link your environment to PyCharm:

1. Create a Conda environment correctly
   Open Anaconda Prompt (run as administrator) and run:

   conda create -n Ex_Files_TensorFlow python=3.7 -y
   

   This creates an environment named Ex_Files_TensorFlow with Python 3.7. Activate it with:

   conda activate Ex_Files_TensorFlow
   

   Then install TensorFlow:

   pip install tensorflow
   

2. Link the environment to PyCharm

   • Open your project in PyCharm, go to File > Settings > Project: [Your Project Name] > Python Interpreter
   • Click the gear icon in the top-right corner and select Add
   • In the pop-up window, choose Conda Environment > Existing environment
   • Click the browse button next to "Interpreter" and navigate to C:\Logiciels\Anaconda3\envs\Ex_Files_TensorFlow\python.exe
   • Optional: Check "Make available to all projects" if you want to reuse this environment across multiple projects
   • Click OK to save your settings

Extra Troubleshooting Tips #

• Ensure both Anaconda and PyCharm are the same architecture (64-bit or 32-bit)—mixing them causes compatibility issues
• Update PyCharm to the latest version to ensure full support for your Conda version
• If command-line environment creation still fails, try creating it directly in PyCharm: In the Add Interpreter window, select Conda Environment > New environment, specify the name and Python version, then click OK—PyCharm will handle the setup automatically

内容的提问来源于stack exchange，提问作者Hel