pyhelper-tools-jbhm 3.1.1

A centralized toolkit for Python developers

Helper Library

🌍 Available Languages

PyHelper offers built-in translations for up to 131 languages including:

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🚀 Installation

Install from PyPI:

pip install pyhelper-tools-jbhm

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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 prototypingandeducation

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✨ Key Features

📊 Data Visualization

• Bar Charts: Horizontal & vertical (hbar, vbar)
• Distribution Plots: Histograms (histo), box plots (boxplot), KDE plots (kdeplot)
• Comparative Plots: Violin, swarm, strip plots
• Correlation Analysis: Heatmaps (heatmap), scatter plots (scatter)
• Advanced Visualizations: Pair plots, joint plots, regression plots
• Data Tables: Formatted table displays (table)

📈 Statistical Analysis

• Central Tendency : Mean (get_media), median (get_median), mode (get_moda)
• Dispersion : Range (get_rank), variance (get_var), standard deviation (get_desv)
• Analysis : Dispersion reports (disp), IQR calculations, normalization, conditional transforms
• Outlier Detection : IQR and Z-score methods

🗂️ File Management

• Smart discovery with call() (auto-detect CSV, JSON, XML, etc.)
• Multi-format support (CSV, JSON, XML, PDF, spatial data)
• SQL database management with DataBase class
• Conversion utilities (convert_file)

🛠️ Developer Tools

• Switch system (Switch, AsyncSwitch)
• Syntax checking (check_syntax, PythonFileChecker)
• Rich error reporting (multi-language)
• Integrated help system (help)

🌍 Internationalization

• 100+ built-in translations
• Load custom translations
• Runtime language switching (set_language())
• Automatic English fallback

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Dependencies (handled automatically):

• pandas, numpy (data manipulation)

• matplotlib, seaborn (visualization)

• scikit-learn (statistics)

• sqlalchemy (database)

• geopandas (spatial data)

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🔧 Usage Examples

Set language

support for up to 131 languages

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
...

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

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

File handling

from helper import call

data = call(name="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")

Syntax validation

from helper import run

run("./path/to/my_script.py")
#Show gui pop up with results

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📂 Project Structure

helper/
├── core.py
├── __init__.py
├── lang/
│   ├── en.json
│   ├── es.json
│   └── ... (100+ files)
└── submodules/
    ├── graph.py
    ├── statics.py
    ├── utils.py
    ├── caller.py
    ├── checker.py
    ├── manager.py
    ├── pyswitch.py
    ├── shared.py
    └── DBManager.py

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📜 License

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

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🔮 Roadmap

• Additional visualization types

• Extended database support (NoSQL, graph databases)

• Machine learning integration

• Web-based interface

• Plugin system

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