Getting Started With Google Colab

What makes it different? We might be thinking why colab, why not Jupiter Notebook or any other IDE out there?

A simple and Precise answer would be its active features which make it different.

Here are the highlighted features one should be aware of:

• Cloud-based notebook interface: Users can access Colab from a web browser, eliminating the need for complex installations or setting up local development environments.

• Pre-installed Libraries: Certainly! Google Colab comes with several pre-installed libraries and packages such as NumPy, Pandas, Matplotlib, and much more that are commonly used in data science, machine learning, and deep learning tasks.

• Real-time CollaborationGoogle Drive: It offers a collaborative environment for individuals and teams to work on projects, data analysis, machine learning tasks, and more.

• Free Computing Resources : It provides access to powerful resources such as GPUs and TPUs. So you can work on projects hassle free irrespective of your local storage configurations.

• Integration with Google Drive and Github : It allow users to save, share, and store their Colab notebooks directly in the cloud. User can access the notebooks from anywhere with an internet connection, and there’s no risk of data loss due to local storage issues or hardware failures.

Google Colab is the short form for “Google Colabortory“. It is an executable document that lets you write, run, and share code or you can think as an improved version of “Jupyter Notebook” stored in Google Drive. You might be wondering about the word “Notebook“, in simple words it is just a document that includes executable lines of code along with text, images, figures, tables, graphs, equations, and much more that even a layman can able to get insights about the concepts behind it not just developers/programmers out there. It is widely used by data scientists, analysts, and machine learning enthusiasts due to its unique features and advantages.