SOLVED : Import Tensorflow could not be resolved from source Pylance (reportMissingModuleSource)

SOLVED: Import TensorFlow Could Not Be Resolved from Source Pylance (reportMissingModuleSource)
Are you facing the "Import TensorFlow could not be resolved from source" error in Pylance while working on your Python project? This error typically occurs when the TensorFlow library is not properly installed or recognized in your Python environment. This guide will help you resolve this issue step-by-step.
*Step-by-Step Guide:*
*Step 1: Verify Python Installation*
Ensure that Python is installed on your system and that you are using the correct Python interpreter.
1. Open a terminal or command prompt.
2. Run the following command to check your Python version:
```bash
python --version
```
or for Python 3:
```bash
python3 --version
```
Ensure it outputs a version number, indicating Python is installed.
*Step 2: Install TensorFlow*
If TensorFlow is not installed, you need to install it using `pip`.
1. Open your terminal or command prompt.
2. Run the following command to install TensorFlow:
```bash
pip install tensorflow
```
If you're using Python 3, you might need to use:
```bash
pip3 install tensorflow
```
*Step 3: Verify TensorFlow Installation*
After installation, verify that TensorFlow is installed correctly.
1. Open your Python interpreter by typing `python` or `python3` in your terminal or command prompt.
2. Try to import TensorFlow:
```python
import tensorflow as tf
print(tf.__version__)
```
If this runs without errors and prints the version number, TensorFlow is installed correctly.
*Step 4: Configure VS Code Python Interpreter*
Ensure that Visual Studio Code (VS Code) is using the correct Python interpreter where TensorFlow is installed.
1. Open VS Code.
2. Press `Ctrl+Shift+P` (or `Cmd+Shift+P` on macOS) to open the command palette.
3. Type `Python: Select Interpreter` and select it.
4. Choose the Python interpreter that has TensorFlow installed. This should match the Python version you checked earlier.
*Step 5: Reload VS Code*
After selecting the correct interpreter, reload VS Code to apply the changes.
1. Close all instances of VS Code.
2. Reopen VS Code and your project.
*Step 6: Check Pylance Configuration*
Ensure Pylance is correctly configured to use the right Python environment.
1. Go to your VS Code settings by clicking the gear icon in the bottom left and selecting `Settings`.
2. In the search bar, type `Pylance` and ensure it is configured to use the correct Python interpreter.
*Step 7: Reinstall Pylance (Optional)*
If the issue persists, try reinstalling the Pylance extension.
1. In VS Code, go to the Extensions view by clicking the Extensions icon in the Activity Bar on the side.
2. Search for `Pylance`.
3. Click on the installed Pylance extension and select `Uninstall`.
4. After it’s uninstalled, reinstall it by clicking the `Install` button.
*Step 8: Restart VS Code*
After making these changes, restart VS Code one more time to ensure all settings are applied correctly.
*Step 9: Check Workspace Settings*
Ensure there are no workspace settings overriding your interpreter configuration.
1. In VS Code, open your workspace settings by pressing `Ctrl+,` (or `Cmd+,` on macOS).
2. In the settings search bar, type `Python Path` and make sure the correct path is set for your workspace.
*Conclusion:*
By following these steps, you should have resolved the "Import TensorFlow could not be resolved from source" error in Pylance. Now you can continue with your TensorFlow projects without interruptions. If you still encounter issues, make sure to check your Python and Pylance configurations again.
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