https://github.com/bredalis/pandas

Library to work with large data sets 📚
https://github.com/bredalis/pandas

pandas pandas-dataframe pandas-library pandas-python pandas-series python

Last synced: about 1 month ago
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Library to work with large data sets 📚

• Host: GitHub
• URL: https://github.com/bredalis/pandas
• Owner: Bredalis
• License: gpl-3.0
• Created: 2024-05-25T14:21:31.000Z (almost 2 years ago)
• Default Branch: master
• Last Pushed: 2026-03-01T22:18:13.000Z (3 months ago)
• Last Synced: 2026-03-02T01:36:39.178Z (3 months ago)
• Topics: pandas, pandas-dataframe, pandas-library, pandas-python, pandas-series, python
• Language: Python
• Homepage:
• Size: 1.05 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
📊 Pandas Projects 🐍




  





  











📊 Pandas Projects is a collection of beginner-friendly data analysis and DataFrame manipulation examples built using Python and Pandas.

This repository contains practical exercises demonstrating DataFrame creation, indexing, merging, handling missing data, sorting, and visualization.

The goal of this project is to understand the fundamentals of data manipulation and analysis through clean, modular, and well-structured code.



---

## Table of Contents 🧾

* Description 📝

* Features 📦

* Installation 🛠️

* Usage 📘

* Technologies 🧪

* License 📜

---

## Description 📝

This repository explores essential concepts of data analysis using Pandas.

The examples included demonstrate:

* 🧱 DataFrame creation (lists, dictionaries, zip)

* 🔍 Data inspection (`head()`, `tail()`, `describe()`)

* 🔄 Data sorting and filtering

* 🔗 Concatenation and merging

* 🧹 Missing data handling (NaN management)

* 📊 Basic plotting with Pandas and Matplotlib

The project is structured to help beginners understand how to manipulate tabular data step by step.

---

## Features 📦

✔️ Clear and beginner-friendly examples

✔️ DataFrame creation in multiple ways

✔️ Data cleaning techniques

✔️ Merge and concat operations

✔️ Sorting and transformation examples

✔️ PEP 8–styled scripts

✔️ Modular and readable code structure

---

## Installation 🖥️

1️⃣ Clone the repository:

```bash

git clone https://github.com/Bredalis/Pandas.git

```

2️⃣ Navigate into the project directory:

```bash

cd Pandas

```

3️⃣ Install dependencies:

```bash

pip install pandas matplotlib

```

---

## Usage ⚙️

To run any example:

1️⃣ Navigate to the script location:

```bash

cd folder_name

```

2️⃣ Execute the Python file:

```bash

python script_name.py

```

Each script focuses on a specific Pandas concept to make learning structured and progressive.

---

## Technologies 🧪

* Python 🐍

* Pandas 📊

* Matplotlib 📈

* Data Analysis Fundamentals

* Data Cleaning & Manipulation

---

## License 📜

This project is licensed under the 📜 

GPLv3 (GNU General Public License V3.0) 

---

## 👩‍💻 Author

  



[![Github](https://img.shields.io/github/followers/Bredalis?label=Follow\&style=social)](https://github.com/Bredalis)

![GitHub Followers](https://img.shields.io/github/stars/bredalis?style=social)



  



😊 I am a programmer passionate about technology, data analysis, artificial intelligence, and continuous learning.

I enjoy transforming raw data into meaningful insights.

#python #pandas #dataanalysis 🚀

---

## ⭐ Check out my GitHub profile

[![Web](https://img.shields.io/badge/GitHub-Bredalis-14a1f0?style=for-the-badge\&logo=github\&logoColor=white\&labelColor=101010)](https://github.com/bredalis)

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✨ If you like this project, don’t forget to give it a star!