A curated collection of Jupyter notebooks and mini practice projects demonstrating hands-on learning with the Python pandas library.
- DataFrame.ipynb β Introduction and exploration of pandas DataFrames, their structure, and basic operations.
- GroupbyAggregation.ipynb β Grouping data and applying aggregate functions (
sum
,mean
, etc.). - MergingJoiningConcatination.ipynb β Techniques for combining datasets: merge, join, and concatenate.
- Missing Data.ipynb β Handling missing values using cleaning and imputing techniques.
- Operations.ipynb β Arithmetic, statistical, and custom operations on Series & DataFrames.
- PivotTables.ipynb β Building and analyzing pivot tables to summarize datasets.
- Feature Extraction on Netflix Dataset β Extracting and analyzing features from a Netflix dataset.
- Countries Data Analysis β Exploratory data analysis on global country statistics.
Make sure you have Jupyter Notebook and pandas installed:
pip install pandas notebook
Clone this repository and open the notebooks:
git clone https://github.com/PrinceYadav0312/learn-Python-panda-with-Project.git
cd learn-Python-panda-with-Project
jupyter notebook
Run each .ipynb file interactively to learn step by step.
π― Why This Repository?
Designed as a learning playground for mastering pandas.
Each notebook/project builds toward stronger data manipulation & analysis skills.
Useful for study, interview prep, and real-world data science projects.
π License
This repository is intended for educational purposes only. β€οΈ
Do you also want me to make it look **fancier** with badges (Python, pandas, Jupyter) and a **table of contents with links**?