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bd_pytemplates

BDA Experiment Template Viewer — A pip-installable CLI to browse, view source code, and access datasets for Big Data Analytics lab experiments.

Installation

pip install bd_pytemplates

Usage

from bd_pytemplates import run_prog
run_prog()

This launches an interactive CLI:

========================================
   BDA PyTemplates — Experiment Viewer
========================================

Enter choice:
  1 — List all experiments
  2 — View experiment source code (+ dataset path)
  3 — Exit

Available Experiments

# Title
1 Data Pre-Processing: Building Good Training Sets
2 Manipulation of a Dataset using Pandas
3 Hadoop MapReduce — Word Count Program
6 Working with Pig and Hive (simulated using Pandas)
7 Evaluating ML Algorithms: Logistic Regression
8 Regression and Correlation Analysis
9 Classification Algorithm — SVM
10 Naive Bayes Classifier
11 NoSQL using MongoDB
12 Data Visualization (Tableau equivalent using Pandas + Matplotlib)

Features

  • List experiments: View all available BDA experiments with their titles and dataset info.
  • View source code: Select an experiment by number to see its full Python source code with proper indentation.
  • Dataset access: For experiments that include datasets (.csv, .xlsx), the absolute file path to the bundled dataset is printed so you can copy or open it directly.

License

MIT

Metadata

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