Python is a high level programming language, translated, multiparadigm and open source. It is one of the most popular programming languages in the world, easy to learn and use, with clean and concise syntax. This makes it ideal for both beginners and experienced developers.
Python is used by Google, YouTube, Netflix, Spotify, NASA, Facebook, IBM, Amazon, and Microsoft, among other companies. Sounds impressive right?
But any individual researcher who wants to use this language in projects will require expensive infrastructure. This is where Google Colab, also known as Colaboratory, a free service from Google that allows users write and run Python code in your browser.
Google Colab is a very versatile tool that can be used for various tasks, such as machine learning, data analysis, and educational actions.
Colab is an online version of Jupyter Notebook. While the latter downloads and uses the user’s computer resources, Colab is a cloud tool for Python coding.
The main advantage for users
Colab is a completely free tool and does not require any configuration or installation. You just need a Google account to get started.
There is also no need for runtime or computer hardware upgrades to meet Python’s CPU/GPU workload requirements.
Colab offers free access to computing infrastructure such as storage, memory, processing power, graphics processing units (GPUs), and tensor processing units (TPUs), which facilitate the training of machine learning models.
In addition, Colab notebooks can be easily shared with other users. It is a popular tool for machine learning because it allows users to train and test machine learning models without having to set up their own environment.
In addition, Colab can be used to analyze data with popular Python libraries such as NumPy, Pandas, and Matplotlib, or to create and share learning notebooks that combine code, text, image, etc.
Another advantage is that a code notebook can be used for all the components needed to present an entire machine learning or data science project. For example, a Colab notebook can contain executable code, live Python code, rich text, HTML, LaTeX, images, data visualization, charts, graphs, tables, and more.
How to use Colab
To create a Colab notebook, simply open the Colab website and click the “Create notebook” button. You can start with one blank notebook or choose one of the available example notebooks.
Once a notebook is created, the user can start writing python code. Each code cell can be run individually, allowing you to test the code step by step.
Google Colab is a powerful and versatile tool that can be used by people of all experience levels. The one excellent option to learn Python perform data analysis or create machine learning models.