tensoraflowacode 0.2.0

A professional Python package containing libraries with code templates for the pros

Code Template Package

A professional Python package containing 1 library with 10 code templates. This package is designed to be installed via pip and used in any Python environment or Jupyter Notebook.

Installation

You can install this package using pip:

pip install code_template_package

Or, if installing from source:

pip install -e .

Quick Start

Basic Usage

Import and use a library template:

from code_template_package import library1

# Call the template function
print(library1.code1())

Using in Jupyter Notebook

from code_template_package import library1, library2

# Access templates from the libraries
template_code = library1.code1()
print(template_code)

# You can access all templates from library1 (10 templates)
template_code2 = library1.code5()
template_code3 = library1.code10()

# Access library2 templates (15 templates)
template_code4 = library2.code1()
template_code5 = library2.code8()
template_code6 = library2.code15()

Available Libraries

• library1: Contains templates code1 through code10
• library2: Contains templates code1 through code15

Each template is accessible as a function that returns the template code string.

Usage Examples

from code_template_package import library1, library2

# Get templates from library1
template = library1.code1()
template2 = library1.code3()

# Get templates from library2
template3 = library2.code1()  # Data Preprocessing with Pandas
template4 = library2.code6()  # K-Means Clustering
template5 = library2.code15() # Hyperparameter Tuning

Package Structure

code_template_package/
├── code_template_package/
│   ├── __init__.py
│   ├── library1/
│   │   ├── __init__.py
│   │   ├── code1.py
│   │   ├── code2.py
│   │   ├── ... (code3.py to code10.py)
├── pyproject.toml
├── README.md
└── LICENSE
│   ├── library2/
│   │   ├── __init__.py
│   │   ├── code1.py
│   │   ├── code2.py
│   │   ├── ... (code3.py to code15.py)

Requirements

• Python >= 3.8

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Support

For issues and questions, please open an issue on the GitHub repository.