Google Colab Notebook Essential Training

Course details

Meet the instructors

Content

Introduction

Learning Google Colab notebook

What you should know

1. Introduction to Google Colab

Notebook-based programming environments

Evolution of notebooks for data science and machine learning

Exploring the Google Colab notebook interface

2. Leveraging AI Support in Google Colab Notebook

Natural language generation for code assistance

Autocomplete features in a Colab notebook

Code generation in a Colab notebook

Using Gemini support in a Colab notebook

3. File Management in Google Colab

Working with files and file paths in Colab

Uploading and downloading files to Colab from a local machine

Mounting and accessing Google Drive in Google Colab

Importing a file via Google Colab URL

Using Google Cloud Storage (GCS) in Google Colab

File compression and decompression in Google Colab

Basic file I/O operations in Google Colab

4. System Interactivity in Google Colab

Systems and shells in a Colab notebook

Accessing GPU resources in a Colab notebook

Magic commands for enhanced workflow in Google Colab

Running bash commands in a Colab notebook

Interacting with Python’s os and sys modules

5. Using Colab as an Editor

Create Python script in a Colab notebook

Writing and formatting markdown in a Colab notebook

Cloning and committing code to GitHub repositories

Conclusion

Final project: Data science tutorial

Final project solution: Data science tutorial