Google Colab Crash Course

Welcome to the Google Colab Course by Studyopedia.

Google Colab is a Notebook Environment that runs entirely on the cloud. Avoid the hassles of installing Python on your system and directly run your Python programs on a Web Browser.

In this course, learn about Google Colab and how it eases the work of a programmer. We have discussed how to begin with Colab, run your first program, set up libraries, run pandas, Numpy, and Matplotlib programs, etc. Sample programs with all these libraries are also discussed. Colab supports all Data Science and Machine Learning libraries.

We have also discussed the basic layout of Colab, how to increase the font, display line numbers, and enable dark mode. With that, how to set free Runtime Type i.e. GPU and TPU is also discussed. Also, an overview discussed the paid versions of Google Colab i.e. Colab Pro and Pro+, with all the comparisons.

With Colab, you easily share the code with your friends and colleagues using GitHub and Google Drive. Sharing is caring! However, Colab automatically saves your code on Google Drive, making it easier to keep a backup. Therefore, avoid hassles in saving your codes on the system.

Let’s start the journey!

**Course Lessons**

Section 1: Colab – Introduction

1. Colab – Introduction & Features

Section 2: Colab – Setup and run the first Python Program

2. Create the first Notebook

Section 3: Colab Runtime Type – TPU and GPU

3. Understanding TPU and GPU

Section 4: Colab – Settings

4. Show Line numbers on Google Colab Notebook
5. Enable Dark Theme on Google Colab
6. Increase the font size on Google Colab Notebook

Section 5: Colab – Import and Export

7. Download Python Notebook (.ipynb) from Google Colab
8. Import a Python Notebook into Google Colab

Section 6: Colab – Run Numpy, Pandas & Matplotlib

9. Run Pandas program on Google Colab
10. Run Numpy program on Google Colab
11. Run Matplotlib program on Google Colab

Section 7: Colab – Share Notebook to Google Drive & GitHub

12. Share Google Colab Notebook on Drive
13. Share Google Colab Notebook on GitHub

Section 8: Colab – Working on Cells

14. Deep Dive into Cells (Text + Code)
15. Perform Find and Replace on a Notebook

Section 9: Open Notebook from GitHub and Google Drive

16. Open Colab Notebook from Google Drive
17. Open Colab Notebook from GitHub