Forem: Mintah Andrews

Draw a Smiling Emoji with Python Turtle (Perfect for Beginners) Intro

Mintah Andrews — Tue, 30 Sep 2025 02:23:07 +0000

Draw a Smiling Emoji with Python Turtle (Perfect for Beginners)
Intro: Learn how to use Python’s built-in turtle module to draw a smiling face. A quick, visual project that teaches basic drawing commands, loops and functions — ideal for Python for beginners.
https://www.tiktok.com/@codemintah?_t=ZM-909BZyYG0O8&_r=1

Python #PythonForBeginners #TurtleGraphics #Tutorial

Creating ASCII Art from an Image with Python 🐍

Mintah Andrews — Fri, 26 Sep 2025 04:16:14 +0000

Coding in Python can be surprisingly easy — and fun! One cool project is turning any image into ASCII art using just a few lines of code. TIKTOK

This project is beginner-friendly and helps you practice:

Working with images
File I/O in Python
String manipulation

Here’s a quick demo 👇

from PIL import Image

ASCII characters used to build the output text

ASCII_CHARS = ["@", "#", "S", "%", "?", "*", "+", ";", ":", ",", "."]

def resize_image(image, new_width=100):
    width, height = image.size
    ratio = height / width / 1.65
    new_height = int(new_width * ratio)
    return image.resize((new_width, new_height))

def grayify(image):
    return image.convert("L")

def pixels_to_ascii(image):
    pixels = image.getdata()
    characters = "".join([ASCII_CHARS[pixel // 25] for pixel in pixels])
    return characters

def main(image_path, new_width=100):
    try:
        image = Image.open(image_path)
    except:
        print(image_path, "is not a valid pathname to an image.")
        return

    image = resize_image(image)
    image = grayify(image)

    ascii_str = pixels_to_ascii(image)
    img_width = image.width
    ascii_str_len = len(ascii_str)

    ascii_img = "\n".join([ascii_str[index:(index+img_width)] for index in range(0, ascii_str_len, img_width)])

    print(ascii_img)

    with open("ascii_image.txt", "w") as f:
        f.write(ascii_img)

main("your_image.jpg")

👉 Replace "your_image.jpg" with the path to your image.
👉 Run the script and you’ll get an ASCII art version saved in ascii_image.txt.

#python #beginners #programming #tutorial #asciiart

Low Code No Code Platforms

Mintah Andrews — Thu, 18 Sep 2025 04:16:33 +0000

Looking for the best #LowCode and #NoCode platforms for developers and teams?
Check out this comprehensive GitHub repo with open-source & paid tools, feature tables, and resources for rapid app development and automation!
Perfect for building internal tools, MVPs, and automating workflows.

🔗 https://github.com/Mintahandrews/Low-Code-No-Code-Platforms

DevTools #OpenSource #NoCode #LowCode #Automation #AppBuilder #InternalTools #MVP #Backend #Frontend #Database #Workflow #TechStack #GitHub #Programming #vide #videcode

DeepSeek's AI Breakthrough Triggers $1.5 Trillion Tech Market Shake-Up

Mintah Andrews — Tue, 28 Jan 2025 15:33:14 +0000

The recent emergence of DeepSeek, a Chinese AI startup, has sent shockwaves through the global tech industry, leading to a significant market downturn. DeepSeek's innovative AI model, the R1 chatbot, has demonstrated capabilities comparable to leading models like OpenAI's ChatGPT but at a fraction of the development cost. This development has prompted investors to reassess the valuations of major tech companies, resulting in a market decline approaching $1.5 trillion.

DeepSeek's Technological Advancements

DeepSeek's R1 model has garnered attention for its efficiency and performance. Unlike traditional AI models that require extensive computational resources, R1 was trained using approximately 2,000 specialized computer chips over 55 days, costing around $5.58 million. In contrast, comparable models from U.S. tech giants have incurred development costs nearly ten times higher. This cost-effectiveness is attributed to DeepSeek's focus on modular and task-specific models, enhancing accessibility and efficiency. (Diario AS)

Market Impact

The introduction of DeepSeek's R1 model has had immediate repercussions in the financial markets. Major tech firms, including NVIDIA, Microsoft, and Alphabet, experienced significant stock declines. NVIDIA, for instance, saw its shares drop by nearly 18%, reflecting investor concerns about the potential obsolescence of existing AI infrastructure investments. (Business Insider)

Comparative Analysis: DeepSeek vs. ChatGPT

While both DeepSeek's R1 and OpenAI's ChatGPT are designed to assist users with various tasks, there are notable differences:

Cost and Accessibility: DeepSeek's open-source approach allows developers worldwide to modify and improve the model freely, potentially accelerating innovation and adoption. (Diario AS)
Performance: Benchmark tests indicate that R1 performs comparably to ChatGPT in tasks such as mathematics, coding, and natural language reasoning. However, R1 lacks features like web search and advanced functionalities present in ChatGPT. (WIRED)
Censorship and Data Privacy: Concerns have been raised about R1's handling of politically sensitive topics and data storage practices, as user data is stored on servers in China. This has led to discussions about data privacy and potential censorship. (Business Insider)

Global Implications

DeepSeek's rise is seen by some as a "Sputnik moment" for the AI industry, highlighting China's rapid advancements in technology. The company's success challenges the dominance of U.S. tech firms and raises questions about the future landscape of AI development. Analysts suggest that while DeepSeek's innovations may disrupt current market dynamics, they could also lead to increased demand for AI technologies, potentially benefiting companies like NVIDIA in the long run. (Business Insider)

Conclusion

DeepSeek's emergence underscores the dynamic and rapidly evolving nature of the AI industry. As the company continues to develop and refine its models, stakeholders across the tech sector will need to monitor these developments closely, considering both the opportunities and challenges they present.

GitHub Copilot Challenge: Transitions and Transformations

Mintah Andrews — Mon, 13 Jan 2025 15:22:43 +0000

What I Built
StudyMate is an intuitive web app designed to streamline collaborative learning for students. It allows users to create and share study resources, track learning progress, and engage in productive discussions with peers—all within a visually appealing, user-friendly interface.

The project aligns perfectly with the theme of "Transitions and Transformations," focusing on how students transition from traditional study methods to a digital-first, collaborative learning environment.

Demo

Check out StudyMate in action:
Live Demo

Screenshots

Homepage: A sleek dashboard displaying recent activity and study goals.

Resource Sharing: Easily upload and access study materials from classmates.
Progress Tracking: Monitor individual and group learning progress.

Repo

Explore the codebase here:
GitHub Repository

Copilot Experience

GitHub Copilot was an invaluable tool throughout the development process. Here's how I used it:

Code Autocompletion: Copilot's intelligent suggestions helped me write cleaner, more efficient code for key components like the progress tracker and discussion board.
Prompts and Edits: I crafted detailed prompts to generate React components and refined them based on Copilot's output.
Debugging: Copilot assisted in identifying and fixing issues with state management and API integration.
Model Switcher: Experimented with Copilot Chat for brainstorming features and refining implementation strategies.

GitHub Models

I used GitHub Models to prototype several LLM-powered features in StudyMate, including:

Smart Suggestions: Recommended study materials based on user activity.

Adaptive Discussions: Summarised group discussions for easier reference.

These integrations enhanced the app’s functionality and provided a seamless learning experience.

Conclusion

Working on StudyMate with GitHub Copilot was a transformative experience. It accelerated my development process, enhanced my productivity, and enabled me to implement advanced features I wouldn’t have considered otherwise.

Impact: StudyMate empowers students by simplifying collaboration and providing actionable insights into their learning journeys. It’s a step toward making education more accessible and effective.

Team: Submission by Andrews Mintah.

Exploring the MERN Stack: Building Modern Web Applications in 2024

Mintah Andrews — Tue, 31 Dec 2024 04:33:40 +0000

In the ever-evolving landscape of web development, staying abreast of the latest technologies is crucial for developers aiming to build efficient, scalable, and maintainable applications. One tech stack that has been gaining significant traction in 2024 is the MERN Stack. This blog post delves into the components of the MERN Stack, its advantages, and why it's becoming a go-to choice for developers worldwide.

What is the MERN Stack?

The MERN Stack is a collection of technologies that enables developers to build full-stack JavaScript applications. It comprises four key components:

MongoDB: A NoSQL database that stores data in flexible, JSON-like documents.
Express.js: A lightweight and flexible Node.js web application framework that provides a robust set of features for web and mobile applications.
React: A JavaScript library developed by Facebook for building user interfaces, particularly single-page applications where data reflects in real-time.
Node.js: A JavaScript runtime built on Chrome's V8 JavaScript engine, allowing developers to execute JavaScript server-side.

Why is MERN Gaining Popularity?

Several factors contribute to the rising popularity of the MERN Stack among developers:

Full-Stack JavaScript: With MERN, developers can use JavaScript for both client-side and server-side development, streamlining the development process and allowing for code reuse.
Strong Community Support: Each component of the MERN Stack has a large, active community, providing a wealth of resources, tutorials, and third-party tools.
Flexibility and Performance: React's component-based architecture and virtual DOM enhance application performance and provide flexibility in building complex user interfaces.
Scalability: MongoDB's schema-less nature allows for easy scaling and handling of large volumes of data, making it suitable for applications expected to grow over time.

Real-World Applications of MERN

The versatility of the MERN Stack makes it suitable for a wide range of applications, including:

E-commerce Platforms: Building interactive and dynamic online stores with real-time inventory management.
Social Media Applications: Developing platforms that require dynamic user interactions and real-time updates.
Content Management Systems (CMS): Creating flexible and scalable systems for managing digital content.

Getting Started with MERN

For developers interested in exploring the MERN Stack, numerous resources are available to facilitate the learning process:

Official Documentation: Each component has comprehensive documentation to guide developers through setup and development.
Online Tutorials and Courses: Platforms like freeCodeCamp, Codecademy, and Udemy offer courses specifically focused on the MERN Stack.
Community Forums: Engaging with communities on platforms like Stack Overflow and Reddit can provide support and insights from experienced developers.

Conclusion

The MERN Stack's unified use of JavaScript, coupled with its flexibility and performance capabilities, positions it as a compelling choice for modern web development in 2024. As the tech landscape continues to evolve, adopting such robust and efficient tech stacks will be instrumental in building the next generation of web applications.

Introducing StudyMate: Your AI-Powered Study Companion for Enhanced Productivity

Mintah Andrews — Sun, 29 Dec 2024 00:43:17 +0000

I'm excited to introduce StudyMate, a modern, feature-rich study management application designed to enhance productivity and streamline study sessions for students.

Overview

StudyMate is built with React and TypeScript, offering a seamless and intuitive user experience. It provides AI-powered tools to help students organize their studies, manage tasks, track progress, and maintain productive study sessions.

Key Features

Task Management: Efficiently organize and prioritize your assignments and study tasks.
Progress Tracking: Monitor your study habits and achievements over time.
AI-Powered Assistance: Leverage artificial intelligence to enhance your learning experience.
User-Friendly Interface: Enjoy a clean and intuitive design that makes studying more enjoyable.

Why StudyMate?

In today's fast-paced academic environment, students need tools that not only help them stay organized but also enhance their learning efficiency. StudyMate addresses this need by integrating modern technologies to provide a comprehensive study management solution.

Get Started

Explore StudyMate and see how it can transform your study routine: https://studymatesite.netlify.app/

Join the Discussion

I would love to hear your thoughts and feedback on StudyMate. Feel free to leave a comment below or reach out directly.

Thank you for your support!

Note: This project is open-source. You can find the repository here: https://github.com/mintahandrews/StudyMate

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