How to leave/exit/deactivate a Python virtualenv?
To leave a Python virtual environment, you can use the deactivate command. This will return you to the system's default Python environment.
Here's an example of how you would use deactivate:
source deactivate
Alternatively, you can simply close the terminal window or tab in which the virtual environment was activated. This will also return you to the system's default Python environment.
If you want to reactivate the virtual environment later, you can use the activate command again. For example:
source activate myenv
This will reactivate the virtual environment named myenv.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
-
How to upgrade all Python packages with pip?
You can use the pip install command with the --upgrade option to upgrade all packages in your Python environment. Here's the basic syntax: pip install --upgrade [package1] [package2] ... To upgrade...
Questions -
Convert bytes to a string in Python and vice versa?
To convert a string to bytes in Python, you can use the bytes function. This function takes two arguments: the string to encode and the encoding to use. The default encoding is utf-8. Here is an ex...
Questions -
How do I get a substring of a string in Python?
To get a substring of a string in Python, you can use the string slicing notation, which is string[start:end], where start is the index of the first character of the substring, and end is the index...
Questions -
How do I parse a string to a float or int in Python?
To parse a string to a float in Python, you can use the float() function. This function takes a string as input and returns a floating point number constructed from it. For example: float('3.14') #...
Questions
We are hiring.
Software is our way of making the world a tiny bit better. We build tools for the makers of tomorrow.
Help us in making the internet more reliable.
Help us with developer education and get paid.
Reliability is the
ultimate feature
Delightful observability tools that turn your logs & monitoring into a secret weapon for shipping better software faster.
Explore Better Stack