Python on Google Colab

A Quick Intro on Using Python with Google Colab


Google Colab is a powerful platform for writing and executing Python in your browser with zero configuration required, free access to GPU, and easy sharing, learning and quickly developing machine learning models in Python. It is based on the Jupyter notebook and supports collaborator development.

Google Collab allows developers to write and execute arbitrary Python code through the browser, document the code that supports mathematical equations, create, upload and share notebook from and to Google Drive, import and publish notebooks from GitHub, import external datasets from Kaggle. It also allows to integrate and support ML libraries such as PyTorch, TensorFlow, Keras, OpenCV, and finally, free cloud service with free GPU (graphical processing unit) and TPU (tensor processing unit) acceleration.

In this intro you will find out very basics - Functions, Conditionals, and Iterations as well as more advanced packages, like NumPy. Also, some Colab specifics are explained and most interesting part of all - using free GPUs for some basic projects in Machine Learning and AI.

👉 Start intro here.