Metadata-Version: 2.4
Name: dspracticalcodes
Version: 0.1.0
Summary: A package to display DS practical codes and download datasets
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: nltk
Requires-Dist: scipy

# DS Practical Codes

A Python package to quickly access and display Data Science practical codes and automatically download their associated datasets.

## Installation

To install the package locally in editable mode:

```bash
pip install -e .
```

## Usage

```python
import dspracticalcodes as ds

# Print code for Practical 1 and download its dataset
ds.print_practical(1)

# Print code for Practical 5 (Linear Regression)
ds.print_practical(5)
```

## Features

- **Instant Code Access**: Get the exact source code for practicals 1 through 11.
- **Auto-Download**: Automatically checks for and downloads required CSV files (e.g., `Social_Network_Ads.csv`, `titanic.csv`) if they are missing from your workspace.
- **Formatted Output**: Prints code with clear headers and sections.

## Available Practicals

1. Data Wrangling I
2. Data Wrangling II
3. Descriptive Statistics
4. Data Analytics I (Linear Regression)
5. Data Analytics II (Logistic Regression)
6. Data Analytics III (Naive Bayes)
7. Text Analytics
8. Data Visualization I
9. Data Visualization II
10. Data Visualization III
11. Big Data Analytics (Impala/SQLite)
