Get Started with Python Coding in Google Colab
3_Get Started with Python Coding in Google Colab
Lesson Summary:
In this lesson, we’ll set up our coding environment using Google Colab, a free cloud-based platform that makes Python coding easy. We’ll learn how to access Colab, create a new notebook, and import Pandas, a key Python library for data analysis. By the end, you'll be ready to start coding—no installations needed!
Step-by-Step Guide:
1️⃣ Access Google Colab
Open your browser and search for "Google Colab".
Click on the Google Colab link.
If it’s your first time, log in using your Google account.
2️⃣ Create a New Notebook
Once inside Google Colab, click “New Notebook” to start coding.
A fresh notebook will open, where you can write and run Python code in cells.
3️⃣ Understanding Python Libraries
Python is powerful because of its libraries—pre-written code that you can use without starting from scratch.
We’ll use Pandas, one of the most important libraries for data manipulation.
4️⃣ Import Pandas in Google Colab
Good news: Pandas is pre-installed in Google Colab!
To use it, type the following in a code cell and run it:
import pandas as pd
We assign pandas a shortcut (pd) for convenience.
5️⃣ Running Your First Code Cell
Click the Play button next to the code cell to execute it.
The first time you run a cell, Google Colab will allocate a machine with 12GB of RAM and 100GB of storage.
Once executed, a ✅ checkmark appears, showing that the code ran successfully.
Next Step:
Now that we have Pandas ready, let’s start coding and solving real-world supply chain problems! 🚀
Dataset and code: www.savilagames.io/
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