Adventures in Machine Learning

Troubleshooting ModuleNotFoundError When Using AWS Services in Python

Error: ModuleNotFoundError: No module named ‘boto3’

Are you trying to use AWS services, but you keep getting an error message saying “ModuleNotFoundError: No module named ‘boto3′”? Well help you troubleshoot this error so that you can start using AWS services in your Python scripts.

How to reproduce the error

The first step is to reproduce the error. Here are the main steps to follow:


Open your Python environment, whether it is IDLE, PyCharm, or any other. 2.

Try importing the boto3 module by typing “

import boto3″ in the Python console or in a Python script. 3.

You will receive the following error message:

ModuleNotFoundError: No module named ‘boto3’

Primary Keyword(s): boto3, AWS services

How to fix this error

Now that you have reproduced the error, let’s see how to fix it. There are a few steps to follow to get boto3 installed and working properly.

1. Open your terminal or command prompt.

2. Type “pip install boto3” and hit enter.

3. Wait for the installation to complete.

That’s it!

Primary Keyword(s): install, pip, Python environment

Other common causes for this error

If the above solution does not work or if you run into a similar error, then you may want to check these other possible causes. 1.

You have multiple versions of Python

If you have multiple versions of Python installed on your computer, you might be installing boto3 on the wrong version or running your script on the wrong version of Python. Here’s what you can do:


Check which versions of Python you have installed on your system by typing “which -a python” on your command prompt. If you’re on Windows, you can check your Python installation directory instead.

b. Make sure to choose the correct version of Python when you run “pip” to install boto3.

c. When running a script, make sure to select the correct version of Python.

Primary Keyword(s): multiple versions, which -a python, pip install boto3

2. Python virtual environment is active

If you are using a virtual environment in Python, you may have activated it and forgot to install boto3 within the environment.

Here’s what you can do:

a. Check whether your virtual environment is active by typing “deactivate” on your command prompt.

If you’re on Windows, use “.env_nameScriptsactivate” to activate the virtual environment. b.

Install boto3 within the virtual environment by running “pip install boto3” within the environment. Primary Keyword(s): virtual environment, activate, deactivate


IDE using a different Python version

If you are using an IDE like VSCode or PyCharm, your Python interpreter might be pointing to a different version of Python, causing the “ModuleNotFoundError”. Here’s how to check and update the Python interpreter:


Open the IDE and go to File > Preferences > Settings. b.

Look for “Python: Interpreter” and click “Edit in settings.json”. c.

Check whether the path to the Python interpreter is correct. If it’s not, update it to the correct path by typing the full path to the correct Python interpreter.

Primary Keyword(s): IDE, Python interpreter, VSCode, PyCharm


In conclusion, we have learned how to troubleshoot the “ModuleNotFoundError: No module named ‘boto3′” error that you might encounter when using AWS services in Python. By following the steps above, you should be able to fix the error and start using boto3 seamlessly in your Python scripts.

Remember to always double-check which version of Python you’re using and which interpreter your IDE is pointing to. Happy coding!

Are you tired of encountering “ModuleNotFoundError: No module named ‘boto3′” error when using AWS services in Python?

Look no further. In this addition, we will delve deeper into the causes and solutions to this error.

In the previous section, we briefly discussed the primary causes and solutions to the “ModuleNotFoundError” error when using AWS services and the boto3 module. The causes included a lack of installation or outdated version of dependencies, multiple versions of Python, and a virtual environment being active.

The solutions included using pip to install the boto3 module, checking your system environment configurations, correctly activating virtual environments, and ensuring the correct Python version and interpreter is being used. Now, let’s explore these causes and solutions in more detail.

Python Environment

Python environment and its configuration play a critical role in avoiding “ModuleNotFoundError” errors. A Python environment refers to the Python runtime that has necessary python-related dependencies libraries and packages to run applications built by users.

Because different applications may require different Python libraries and frameworks, it is essential to set up a specific and dedicated environment for each application or project. Common causes of the missing boto3 module include misconfigured Python environments or incorrect configurations of the pip package manager.

One simple way to fix this error is through installing boto3 using pip, pip is Python’s default package manager and will download and install the necessary libraries and packages required to run boto3. Run the following command in the terminal:

“`pip install boto3“`

Make sure to run the command while connected to the internet so that pip can download boto3 from the Python Package Index (PyPI) repository.

After the installation is complete, you can test that boto3 is correctly installed with the following import statement inside a Python file:


import boto3


If the preceding code executes without errors, your boto3 installation is successful.

Multiple Versions of Python

Having multiple versions of Python on your system is a potential cause of “ModuleNotFoundError”. This is mainly because Pip’s installations may get mixed up, resulting in the wrong version being installed.

The easiest and effective way to fix this is by verifying that you’re installing Python libraries on the correct version. To do this, you’ll need to check Python’s version entirely.

On the terminal or command prompt, use the following commands:

“`which -a python“`

On Windows:

“`where python“`

The preceding command tells the terminal where Python is installed on your system. The output displays multiple Python installations, with the top installation being the most prioritized.

Check to see if there are any other locations you may have placed the Python environment. You have to provide the specific path containing the required Python installation.

Suppose you have multiple Python versions installed on your machine. In that case, several commands can implicitly determine the Python installation location, making the process simpler.

Virtual Environment

You may still encounter “ModuleNotFound” errors if your Python virtual environment isn’t activated or hasn’t been set up correctly. Virtual environments help to isolate projects that may have conflicting Python dependencies library requirements.

To create your virtual environment, create a folder on your system for a particular project and navigate into that directory. Run the following command on your command prompt or terminal:

“`python -m venv env“`

The command will create a new virtual environment within that directory with the name env.

To activate your virtual environment, run the following commands:

On macOS and Linux:

“`source env/bin/activate“`

On Windows:


Ensure that your virtual environment is activated before attempting to install the boto3 module, using pip or running scripts that use the boto3 module. You can confirm whether the expected virtual environment is activated with the following command:

“`(env)$ python -VV“`

If you see anything else that demonstrates that the virtual environment isn’t activated, carefully recheck the activation commands to ensure that they’re correct.

IDE Using a Different Python Version

Suppose you’re using an IDE like PyCharm or Visual Studio Code to write your Python scripts or applications. In such an instance, the IDE might not be using the correct version of Python required by your project.

This is a common issue with those new to Python development as different types of projects utilize different Python versions and dependencies. To check or change the Python interpreter your IDE uses, you’ll have to check the IDEs settings or preferences.

For instance, in PyCharm, look under `Preferences > Project > Python Interpreter`. In VS Code, the command to change the Python interpreter for a Python file is `”python.pythonPath”: “/usr/bin/python3″` in the settings.json file.

It is essential to verify that your correct Python version and correct interpreter are set up to work with all your Python scripts.


In this addition, we went deeper into the causes and solutions to the “ModuleNotFoundError: No module named ‘boto3′” error in your Python environment. To avoid these errors, it’s essential to understand your Python environment and how to configure it.

Make sure you have the correct version of Python, and that you have the correct Python interpreter selected. Ensure your virtual environment is activated and correctly set up for each project you work on.

Lastly, verify that pip installed the correct dependencies required for the correct installation of the boto3 module. In summary, it’s crucial to take your time and configure your Python development environment to avoid the “ModuleNotFoundError”.

The solutions offered in this article can go a long way in ensuring that you avoid boto3 installation errors when using this fantastic AWS framework for your Python projects. In conclusion, encountering “ModuleNotFoundError: No module named ‘boto3′” error can be frustrating, especially when working on projects using AWS services.

However, by following the steps outlined in this article, such as using pip to install the boto3 module, checking your Python environment and configurations, activating virtual environments, and selecting the correct Python version and interpreter, you can avoid these errors and make the most out of the AWS services and the boto3 module. The importance of properly configuring your Python environment cannot be overstated, and taking the time to understand and adjust your environment can save you hours of troubleshooting.

Remember to always keep your virtual environment activated and check which version of Python you’re using with your Python interpreter set up correctly. Get started today, and make your Python development process more seamless.

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