Mathematical Formula Plotter Tutorial

Created by K0NxT3D

Welcome to the Mathematical Formula Plotter Tutorial, where we will guide you through the process of creating a simple yet powerful visualizer using Python. This tool will help you visualize electromagnetic fields using a Rodin Coil design and generate detailed graphical outputs, making it a perfect learning project for beginner to intermediate Python Developers.

Key Features:

• Python tkinter for building the graphical user interface (GUI)
• numpy for numerical computations
• matplotlib for plotting electromagnetic fields
• Pillow for basic aesthetics and visual enhancement

Mathematical Formula Plotter Tutorial
Project Overview

This tutorial focuses on creating an interactive application that generates Electromagnetic Field visualizations based on a Rodin Coil design. The plotter demonstrates the relationship between key formulas such as magnetic field strength, inductance, and resonance frequency.

You will see how these fundamental concepts come together in a practical way, helping you grasp both theoretical and computational aspects of electromagnetism.

Getting Started

The GUI is designed to be simple and easy to configure, with just a few input fields. Once you enter values for parameters like number of turns, current, and radius, the application will generate both 2D and 3D plots.

We’ll walk you through the setup process, from installation to compiling your application, step-by-step.

Recommended Level

This tutorial is ideal for beginner to intermediate Python programmers. Some basic knowledge of Python and mathematical concepts like electromagnetic fields will be helpful, but it is not required.

Rodin Coils Explained

(More About Rodin Coils Here…)
A Rodin Coil is a type of electromagnetic coil that creates a unique toroidal magnetic field. This is useful in various applications like energy generation, wireless power transfer, and electromagnetic therapy. In this tutorial, we simulate the magnetic field and other properties of a Rodin Coil using mathematical formulas and Python programming.

Files Included

The project contains the following files:

Main Directory (/):

• mfp (Executable): The compiled version of the application.
• mfp.py (Python Source File): The main Python script with the core functionality.
• README (This File): Documentation for setting up and using the project.
• requirements.txt (Python Dependencies File): The list of required Python libraries for the project.

Backgrounds (/backgrounds):

• background.png: A background image that should be in the same directory as the executable.

Python Requirements (requirements.txt)

To run the project, you will need to install the following Python libraries:

contourpy==1.1.1
cycler==0.12.1
fonttools==4.55.3
importlib-resources==6.4.5
kiwisolver==1.4.7
matplotlib==3.7.5
numpy==1.24.4
packaging==24.2
pillow==10.4.0
pyparsing==3.1.4
python-dateutil==2.9.0.post0
six==1.17.0
zipp==3.20.2

To install these dependencies, run the following command:

pip install -r requirements.txt


Compiling Your Application Using PyInstaller

Once you’ve set up the environment, you can compile the application into a standalone executable. Follow these steps:

1. Create a virtual environment: python3 -m venv venv
2. Activate the virtual environment: source venv/bin/activate
3. Install required dependencies: pip install -r requirements.txt
4. Compile the application using PyInstaller: pyinstaller --onefile mfp.py

Note: You’ll need to install PyInstaller if you don’t have it already:
pip install pyinstaller

Known Issues and Notes

• matplotlib might take a little longer to load on the first run due to its initialization process.
  Please be patient.

Download:

mathematical_formula_plotter_tutorial.zip

Once the compilation is complete, you’ll have a fully functional Mathematical Formula Plotter application that you can run on any compatible system.

That’s all folks!

This tutorial offers a straightforward approach to creating a powerful visualization tool for electromagnetism.
By leveraging Python, matplotlib, and numpy, you can simulate complex fields and explore various scientific concepts interactively.

Thanks for following along, and we hope this guide helps you build a deeper understanding of mathematical visualizations!
K0NxT3D

Mastering Contact Management with Flask: A Guide to the Contacts Database and Forms Template

Contacts Database and Forms Template
Author: K0NxT3D

In this guide, we will explore a practical and effective Flask template that allows beginner to intermediate Python developers to manage contact information easily. The Contacts Database and Forms Template is designed to simplify the process of building a database-driven application using Flask, SQLite, and SQLAlchemy. Whether you are new to Flask or looking to streamline your existing projects, this template is an excellent starting point for your next app.

Introduction to Flask and SQLAlchemy

Flask is a lightweight Python web framework that helps developers build web applications quickly with minimal effort. SQLAlchemy is an ORM (Object-Relational Mapping) tool for Python, which allows developers to interact with databases using Python objects instead of raw SQL queries. In this template, we leverage Flask and SQLAlchemy to create a simple but powerful Contact Management System.

Key Features of the Contacts Database and Forms Template

• Flask-based Web Application: Built with Flask, this template offers an easy-to-understand, scalable foundation for building dynamic web applications.
• SQLite Integration: By default, this template uses SQLite, a lightweight database engine, perfect for development and small projects.
• Forms for Data Entry: The application provides forms for adding, viewing, and editing contact information, making it highly user-friendly.
• Internal and External File Management: Organize static files such as images and JavaScript files to keep your app structure neat.

Core Concepts and Structure of the Template

The application consists of several components that make it functional and user-friendly:

1. Flask Setup and Configuration: The app is configured to run on port 32034 by default. The database connection is established using SQLite, ensuring that data can be stored locally in a file named default.db.
2. The Contact Information Model: The core of this application is the ContactInfo model, defined using SQLAlchemy. This model includes fields for:
   • Name
   • Address
   • City
   • State
   • Zip Code
   • Phone
   • Email
3. Database Operations: Using SQLAlchemy, this template performs basic CRUD operations:
   • Create: Users can add new contacts through a form.
   • Read: Contacts are displayed in a dropdown for viewing or editing.
   • Update: Contact information can be updated with new details.
4. User Interface with Jinja Templates: The HTML content is dynamically generated using Jinja, Flask’s templating engine. This enables the app to display content such as contact details, forms, and menus based on user input.

Step-by-Step Walkthrough

1. Running the Application

The application starts by opening a browser window pointing to http://127.0.0.1:32034, allowing users to interact with the interface directly. It offers three main actions:

• Enter Contact Information: A form to add new contact details.
• View Contact Information: A dropdown menu to select a contact and view their details.
• Edit Contact Information: Allows users to select and modify existing contact information.

2. Adding Contacts

The add_contacts route enables users to input their contact details through a user-friendly form. Upon submitting the form, the data is saved to the database, and the user is redirected to a success page that displays the entered information.

Example form fields include:

• Full Name
• Address
• City
• State
• Zip Code
• Phone
• Email

3. Viewing Contacts

The view_contacts route allows users to select a contact from a dropdown menu and view their details. When a contact is selected, their information is displayed in a neat format, and clickable links are provided for phone numbers and email addresses.

4. Editing Contacts

The edit_contacts route allows users to update the details of an existing contact. The user selects a contact, modifies the information, and submits the updated details. The changes are then saved back to the database.

5. Exiting the Application

For developers testing or experimenting with this application, the exit_app route provides an option to shut down the Flask application gracefully with a delayed redirect.

Advantages for Python Beginners and Intermediate Developers

• Beginner-Friendly: The template is simple enough for newcomers to Flask and Python to understand and build upon. It comes with detailed comments explaining each step of the process.
• Database Integration Made Easy: The integration of SQLite and SQLAlchemy allows you to get started with databases without the complexity of more advanced systems like PostgreSQL or MySQL.
• Extensibility: The structure is flexible, enabling you to add more functionality like user authentication, advanced search features, or exporting contact data to CSV or Excel formats.

How to Customize and Extend the Template

As a beginner or intermediate Python developer, you might want to extend this template to suit your specific needs. Here are a few ideas for customization:

1. User Authentication: Integrate Flask-Login or Flask-Security to manage user accounts and restrict access to the contact management features.
2. Enhanced Search Functionality: Add search features to allow users to filter contacts based on certain criteria (e.g., by name, city, or email).
3. Exporting Data: Implement features to export the contact data into formats like CSV or Excel, allowing users to back up or share their contact lists.

Contacts Database and Forms Template – Included Files:

• app.py
• requirements.txt (For Python Module Dependencies)
• base.html (HTML Template File)
• default.css
• Image Files
• genreq.py *

* Custom Python script which generates a requirements.txt if pip should be problematic.
More Here…

Contacts Database and Forms Template Download:

• Download 101.1kb Zip

The Contacts Database and Forms Template is a perfect starting point for beginner to intermediate Python developers looking to build a simple Flask application with database integration. It demonstrates essential concepts like database models, form handling, and template rendering, providing a solid foundation for further development. Whether you’re learning Flask or building a contact management app, this template is a versatile tool for your Python projects.

Explore it, customize it, and make it your own—this template is just the beginning of your web development journey!