Learn how to manage Python dependencies using Virtual Environments. Why do we need Python Virtual Environments? These virtual environments make use of isolated contexts (directories) for installing packages and dependencies. We need a tool to make use of Python virtual environments. The tool we use to make them is known as venv. It is built into the standard Python library for Python 3.3+.
When we start building a Python project that goes beyond simple scripts, we tend to start using third-party dependencies.
When working on a larger project, we need to think about managing these dependencies in an efficient manner. And when installing dependencies, we always want to be inside virtual environments. It helps keep things nice and clean. It also helps avoid messing up our Python environment.
We can use Pip to install packages to our Python project. And it is common to have multiple packages installed in a single Python project. This can lead to some issues regarding the versions of the packages installed and their dependencies.
When we use
pip install <package name> in a project, we are installing the package and its dependencies in the global Python namespace. And this will install the package for the specific Python version that we have configured Python for.
We can find out where this directory is by using
python3.7 -c "import sys; print('\n'.join(sys.path))" /usr/lib/python27.zip /usr/lib/python2.7 /usr/lib/python2.7/lib-dynload /usr/lib/python2.7/site-packages
And if we install the same package using
pip3 install <package name>, it will be installed in a separate directory with the Python 3 version. We can overcome this by using the following command:
python2.7 -m pip install <package name>
This still does not solve our problem of packages being installed system-wide, which can lead to the following problems:
To avoid those problems, Python developers use Virtual Environments. These virtual environments make use of isolated contexts (directories) for installing packages and dependencies.
We need a tool to make use of Python virtual environments. The tool we use to make them is known as venv. It is built into the standard Python library for Python 3.3+.
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Today you're going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates. We gonna use Python OS remove( ) method to remove the duplicates on our drive. Well, that's simple you just call remove ( ) with a parameter of the name of the file you wanna remove done.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc.. You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like __init__, __call__, __str__ etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).
The OS module is a python module that provides the interface for interacting with the underlying operating system that Python is running.