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google colab is a free online platform provided by google that allows you to write and execute python code collaboratively through a jupyter notebook interface. it provides a convenient way to work with python code, especially for data analysis, machine learning, and deep learning tasks. in this tutorial, we'll explore the basics of using google colab, including how to write and execute code, import libraries, and collaborate with others.
to get started with google colab, you'll need a google account. if you already have one, simply visit the google colab website and sign in with your account. if you don't have a google account, you'll need to create one first.
once you're signed in, you'll see the colab welcome page where you can create a new notebook or open an existing one.
to create a new notebook, click on the "new notebook" button on the welcome page. this will open a new notebook in your browser window. a notebook consists of cells where you can write and execute code, as well as text cells for documentation.
to write and execute code in a colab notebook, simply click on a code cell and start typing your python code. once you've written your code, you can execute it by pressing shift+enter or by clicking on the play button next to the cell.
here's an example of a simple python code cell in a colab notebook:
after executing this code cell, you should see the output "hello, world!" printed below the cell.
google colab comes with many popular python libraries pre-installed, including numpy, pandas, matplotlib, and tensorflow. you can import these libraries into your notebook and use them just like you would in a local python environment.
here's an example of importing the numpy library and using it to create an array:
one of the key features of google colab is the ability to collaborate with others in real-time. you can share your notebook with colleagues or friends and work on it together simultaneously.
to share a notebook, click on the "share" button in the t ...
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