pyhelper-tools-jbhm 2.0.1

A centralized toolkit for Python developers

Helper Library

🌍 Available Languages

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📖 Overview

PyHelper is a versatile Python toolkit designed to simplify data analysis, visualization, statistical operations, and utility workflows.
It integrates seamlessly into academic, research, and professional projects, allowing you to focus on insights rather than boilerplate code.

Key advantages:

• 🧮 Built-in statistics and math utilities
• 📊 Easy-to-use data visualization wrappers
• 🗂 Handy file handling and searching
• 🔍 Syntax validation for Python files
• 🌍 Multi-language support with ready-to-use translations
• 🚀 Optimized for fast prototyping and educational purposes

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✨ Features

📊 Data Visualization

• Horizontal & vertical bar charts (hbar, vbar)
• Pie charts (pie)
• Box plots (boxplot)
• Histograms (histo)
• Heatmaps (heatmap)
• Data tables (table)
• Advanced visualizations (scatter, violin, KDE, pairplot, etc.)

📈 Statistical Analysis

• Measures of central tendency: get_media, get_median, get_moda
• Measures of dispersion: get_rank, get_var, get_desv, disp
• Data normalization (normalize)
• Outlier detection (IQR & Z-score methods)
• Conditional data transformations (conditional)

🛠 Utilities

• File discovery and loading (call)
• Enhanced Switch / AsyncSwitch system
• Syntax checking & analysis (PythonFileChecker, check_syntax)
• Error reporting with context
• Integrated help system (help, previews, docs)

🌍 Multi-language Support

• Built-in translations for 12 languages
• Extendable with load_user_translations()
• Dynamic selection with set_language(lang_code)
• Default fallback to English

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🚀 Installation

Install from PyPI:

pip install pyhelper-tools-jbhm

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🔧 Usage Examples

Set language

from helper import set_language

set_language("en")  # English
set_language("es")  # Spanish
set_language("fr")  # French
set_language("de")  # German
set_language("ru")  # Russian
set_language("tr")  # Turkish
set_language("zh")  # Chinese
set_language("it")  # Italian
set_language("pt")  # Portuguese
set_language("sv")  # Swedish
set_language("ja")  # Japanese
set_language("ar")  # Arabic
# ... support for 100+ languages

Basic statistics

import helper as hp

data = [1, 2, 2, 3, 4, 5]

print(hp.get_media(data))   # Mean
print(hp.get_median(data))  # Median
print(hp.get_moda(data))    # Mode

Visualization

import helper as hp
from helper.submodules import graph as gr

df = hp.pd.DataFrame({"values": [5, 3, 7, 2, 9]})
gr.histo(df, "values", bins=5, title="Sample Histogram")

File handling

from helper import call

data = call("my_data", type="csv")  # Finds and loads a CSV file automatically

Custom translations

from helper import load_user_translations

# Load custom translations from lang.json
load_user_translations("custom/lang.json")

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📂 Project Structure

helper/
 ├── core.py              # Main functions
 ├── lang/                # Translation files (JSON)
 ├── submodules/
 │   ├── graph.py         # Visualization functions
 │   ├── statics.py       # Statistical functions
 │   ├── utils.py         # Utility helpers
 └── __init__.py

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🤝 Contributing

Contributions are welcome!
Please open issues, suggest improvements, or submit pull requests on the GitHub repository.

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📜 License

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

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⚡ Ready to supercharge your Python workflows with PyHelper? Start exploring today!