📊 How to Load a Dataset in a Jupyter Notebook Using Pandas

Sana Noor — Sun, 09 Aug 2026 17:51:39 +0000

When you're starting your Machine Learning journey, one of the first things you'll need to learn is how to load your dataset into your Jupyter Notebook.

Let's learn how to do it in the simplest way. 🚀

🐍 Step 1: Import Pandas
import pandas as pd

Here, we're importing the Pandas library and giving it the shorter name pd.

Pandas is a popular Python library used for data analysis and manipulation. It provides useful tools for working with structured data such as CSV files.

📂 Step 2: Load the Dataset
df = pd.read_csv("Dataset.csv")

Let's break this line down:

🔹 pd → The alias we gave to Pandas.

🔹 read_csv() → A Pandas function used to read data from a CSV file.

🔹 "Dataset.csv" → The path or filename of our dataset.

🔹 df → A variable that stores the resulting Pandas DataFrame.

A DataFrame is basically a table of rows and columns that makes it easier to work with our dataset.

You can also load a CSV using a URL:
df = pd.read_csv("https://example.com/dataset.csv")
🔍** Step 3: Take a Quick Look at Your Data**

After loading the dataset, you can check the first few rows:

df.head()

This is a very useful first step because it lets you quickly understand what your dataset looks like.

💡 In short:
import pandas as pd
df = pd.read_csv("Dataset.csv")
df.head()

That's it! 🎉

You've successfully loaded your dataset into a Jupyter Notebook and can now start exploring and preprocessing your data.

I'm also learning these concepts while building my final-year Machine Learning project, so I'll continue sharing what I learn along the way.

If you're also learning Python or Machine Learning, feel free to share your questions in the comments. 👇

See you in the next lesson! 🚀

Python #Pandas #MachineLearning #DataScience #JupyterNotebook #PythonForBeginners #LearningInPublic #100DaysOfCode

Learning, Building & Teaching: My Journey Begins on DEV

Sana Noor — Sun, 09 Aug 2026 17:25:14 +0000

I’m Starting My Learning & Teaching Journey on DEV! 👩‍💻

I'm currently working on my Final-Year Project — a Fake News Detection System using Python, Machine Learning, NLP, and Django.

While building my project, I'm learning many new concepts along the way — from data preprocessing and TF-IDF to Machine Learning models, model evaluation, and Django integration.

And I've decided to share what I learn with you. ✨

From now on, I'll be writing beginner-friendly articles and tutorials about the important concepts I learn while working on my project.

I'll try to explain things in a simple and practical way, including:

🔹 Concepts that initially confused me
🔹 What I learned while implementing them
🔹 Practical Python examples
🔹 Mistakes and lessons from my project
🔹 Machine Learning & NLP concepts
🔹 Django and web development

My goal isn't just to learn, but also to understand deeply and help others learn along the way.

I learn → I build → I teach. 🚀

If you're also learning Python, Machine Learning, NLP, or Django, I'd love for you to join me on this journey!

Python #MachineLearning #NLP #Django #DataScience #WebDevelopment #LearningInPublic

DEV Community: Sana Noor

📊 How to Load a Dataset in a Jupyter Notebook Using Pandas

Python #Pandas #MachineLearning #DataScience #JupyterNotebook #PythonForBeginners #LearningInPublic #100DaysOfCode

Learning, Building & Teaching: My Journey Begins on DEV

Python #MachineLearning #NLP #Django #DataScience #WebDevelopment #LearningInPublic