✨ Exploring the magic of Pandas — one DataFrame at a time ✨
This repo is where I document my journey of learning Pandas, one of the most powerful libraries in Python for data manipulation and analysis.
It starts from the basics (Series, DataFrames, indexing) and slowly builds toward advanced topics (grouping, merging, time series, visualization).
- ✅ Understand DataFrames & Series
- ✅ Import & export data (CSV, Excel, SQL)
- ✅ Indexing, slicing, and filtering
- ✅ Grouping, aggregation, pivot tables
- ✅ Visualization with Pandas & Matplotlib
- ✅ Work with dates, times, and time series
| 📘 Basics | 🧹 Data Cleaning | 📊 Grouping & Aggregation | ⏳ Time Series |
|---|---|---|---|
| Series & DataFrames | Handle missing values | GroupBy & Pivot Tables | DateTime & Resampling |
| Import/Export (CSV,…) | Duplicates & Formatting | MultiIndex DataFrames | Time-based Analysis |
# Clone this repo
git clone https://github.com/abhayyrana/Pandas.git
cd Pandas
# Install dependencies
pip install pandas matplotlib numpy