How do I use urllib3 with virtual environments in Python?

Using urllib3 with virtual environments in Python is no different than using any other library within a virtual environment. Below, I'll guide you through the steps to set up a virtual environment, install urllib3, and use it in a Python script.

Step 1: Install Virtualenv (if not already installed)

The virtualenv tool allows you to create isolated Python environments. If you don't have it installed, you can install it using pip:

pip install virtualenv

Step 2: Create a Virtual Environment

Navigate to your project directory and run the following command to create a new virtual environment. Replace myenv with the name you want to give to your virtual environment.

virtualenv myenv

Step 3: Activate the Virtual Environment

Before installing packages or running Python scripts, you need to activate the virtual environment.

On macOS and Linux:

source myenv/bin/activate

On Windows:


Your command prompt should now show the name of your virtual environment, indicating that it is active.

Step 4: Install urllib3

With the virtual environment activated, you can install urllib3 using pip:

pip install urllib3

Step 5: Use urllib3 in Your Python Script

Now you can create a Python script that uses urllib3. Here's a simple example of making an HTTP GET request:

# import the urllib3 library
import urllib3

# create a PoolManager to handle the connections
http = urllib3.PoolManager()

# perform a GET request to the specified URL
response = http.request('GET', '')

# print the response data

Save this script in your project directory. Because you're running this within your virtual environment, it will use the version of urllib3 that you installed in the virtual environment.

Step 6: Run Your Script

With your virtual environment activated and urllib3 installed, you can now run your script:


Make sure to replace with the name of your Python script.

Step 7: Deactivate the Virtual Environment

After you're done working in the virtual environment, you can deactivate it by running:


This will return you to the global Python environment.

Additional Notes

  • Always activate the virtual environment before running your scripts or installing new packages to ensure that you're working in the correct environment.
  • Virtual environments help you manage dependencies for different projects without causing conflicts between them.
  • You can create a requirements.txt file to keep track of all the necessary packages for your project. You can then install all the packages at once using pip install -r requirements.txt.

Using urllib3 within a virtual environment helps you maintain a clean and project-specific development setup, avoiding version conflicts and allowing for more predictable behavior across different environments.

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