- Run online using either binder or colab.
- To run on your local machine; execute in either CMD or Terminal
git clone https://github.com/veb-101/Numpy-Pandas-Matplotlib-Tutorial.git
cd Numpy-Pandas-Matplotlib-Tutorial- Then install the required libraries (requires python3)
python -m pip install -r requirements.txt (for windows)
python3 -m pip install -r requirements.txt (for linux)| Sr. No. | Topic | Notebook |
|---|---|---|
| 1 | Numpy | Numpy notebook |
| 2 | Pandas | Getting Started with Pandas |
| Pandas | Data Loading, Storage, and File Formats | |
| Pandas | Data Cleaning and Preparation | |
| Pandas | example test | |
| 3 | Matplotlib | Part 1: Creating and Customizing Our First Plots |
| Matplotlib | Part 2: Bar Charts and Analyzing Data from CSVs | |
| Matplotlib | Part 3: Pie Charts | |
| Matplotlib | Part 4: Stack Plots | |
| Matplotlib | Part 5: Filling Area on Line Plots | |
| Matplotlib | Part 6: Histograms | |
| Matplotlib | Part 7: Scatter Plots | |
| Matplotlib | Part 8: Plotting Time Series Data | |
| Matplotlib | Part 10: Subplots | |
| Matplotlib | Plotting and Visualization | |
| Matplotlib | Word Cloud | |
| Matplotlib | Seaborn Basics | |
| Matplotlib | Iris - Data Visualization | |
| Matplotlib | Pokemon - Data Visualization |