
The Virtualenv module is also available for Python 3.4 and Python 3.6. Python 3.4 and 3.6 have this feature built-in, as seen from here from the official Python documentation. Python 2.7 does not incorporate virtual environments by default, however, there is a module to handle this called Virtualenv. One option python offers to manage this is the usage of Virtual Environments which contain everything needed to run the program inside of your virtual environment directory. When working on many different python programs you may run into issues regarding conflicts between modules that you have installed. īy default, Python packages installed locally on each system will be stored in one of the following directories, depending on which version of python packages you are looking for: If it is already installed, uninstall it by: pip3 uninstall shapely pip3. Note: ~ is your home directory location, also equivalent to $HOME. Many of these packages can be installed using pip or other package managers. Location of installed Python packages through Pipīy default Python packages installed through pip using the '-user' flag will be stored in one of the following locations in your home directory, depending on which version of python you installed the package for:

NOTE: You will be unable to upgrade packages installed locally on the system.
#PIP3 REMOVE PACKAGE INSTALL#
For Python 3.6 this would be 'pip3.6 install -upgrade -user numpy'.In this example using Python 2.7: 'pip install -upgrade -user numpy'.This example will upgrade the numpy package:.To upgrade a package use the command '$PIP install -upgrade -user '.
#PIP3 REMOVE PACKAGE UPDATE#
If you wish to update a Python module you can do so with the '-upgrade' flag Confirm this action by typing ‘y' then Enter key.

To install a package use the command '$PIP install -user ' where $PIP is the Pip Version command in the above table.Flask is a package used for front-end Python web-development.

In this example, flask will be installed and uninstalled. Note: The command python3 and pip3 currently map to python3.6 and pip3.6, respectively.
