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
Release files for bd-pytemplates 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| bd_pytemplates-0.1.0.tar.gz | 48.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bd_pytemplates-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 99.9 kB
Release files / bd_pytemplates-0.1.0.tar.gz
| Download URL | bd_pytemplates-0.1.0.tar.gz |
|---|---|
| Size | 48.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/7.0.0 CPython/3.10.2
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Release files / bd_pytemplates-0.1.0-py3-none-any.whl
| Download URL | bd_pytemplates-0.1.0-py3-none-any.whl |
|---|---|
| Size | 51.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.2
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