Activating and deactivating the virtual environment works the same way as it does for virtual environments in Python 3 (see above). Note that Python 2 should not be used for any new development.

Python virtual environments shine for keeping projects and conflicting packages separate. Just keep these dos and don’ts in mind. One of Python’s biggest draws is its expansive ecosystem of ...

Setting up a virtual environment is an important step in creating your development workflow. It allows you to manage the dependencies for each of your projects, and it prevents your Python ...

create a virtual environment in the folder you want to work in restore the needed packages into the virtual environment $ cd flask-sentiment-analysis-api $ python -m venv .venv $ source ...

1. Create a Virtual Environment. You can create a virtual environment using the venv module: python -m venv myenv. This command creates a virtual environment called myenv. 2. Activate the Virtual ...

4] Start installing libraries. Finally, let us go ahead and start installing libraries. We are going to use PIP for the same. It is Python’s package manager that allows you to install, upgrade ...

NumPy (Numerical Python) – Enables with collection of mathematical functions to operate on array and matrices. Pandas (Panel Data/ Python Data Analysis) - This library is mostly used for analyzing, ...