#python technology

[botreetech]

How to Paraphrase Text Using ML Algorithms in Python?

"Delve into the world of text paraphrasing using ML algorithms with this engaging Medium article. Learn how to effectively rephrase text using Python, exploring the innovative techniques and algorithms that make it possible. Enhance your understanding of natural language processing and elevate your paraphrasing skills through this informative read on Nerd For Tech."

[artandstarstuff]

Something cute for the coders. If y’all want this on redbubble let me know

[adafruit]

27-Year-Old EXE becomes Python - AI-assisted reverse engineering 🤖⚡💾🐍 https://blog.adafruit.com/2025/02/27/27-year-old-exe-becomes-python-in-minutes-with-claude-ai-assisted-reverse-engineering/

[crow-musings]

I desprately need someone to talk to about this

I've been working on a system to allow a genetic algorithm to create DNA code which can create self-organising organisms. Someone I know has created a very effective genetic algorithm which blows NEAT out of the water in my opinion. So, this algorithm is very good at using food values to determine which organisms to breed, how to breed them, and the multitude of different biologically inspired mutation mechanisms which allow for things like meta genes and meta-meta genes, and a whole other slew of things. I am building a translation system, basically a compiler on top of it, and designing an instruction set and genetic repair mechanisms to allow it to convert ANY hexadecimal string into a valid, operable program. I'm doing this by having an organism with, so far, 5 planned chromosomes. The first and second chromosome are the INITIAL STATE of a neural network. The number and configuration of input nodes, the number and configuration of output nodes, whatever code it needs for a fitness function, and the configuration and weights of the layers. This neural network is not used at all in the fitness evaluation of the organism, but purely something the organism itself can manage, train, and utilize how it sees fit.

The third is the complete code of the program which runs the organism. Its basically a list of ASM opcodes and arguments written in hexadecimal. It is comprised of codons which represent the different hexadecimal characters, as well as a start and stop codon. This program will be compiled into executable machine code using LLVM IR and a custom instruction set I've designed for the organisms to give them a turing complete programming language and some helper functions to make certain processes simpler to evolve. This includes messages between the organisms, reproduction methods, and all the methods necessary for the organisms to develop sight, hearing, and recieve various other inputs, and also to output audio, video, and various outputs like mouse, keyboard, or a gamepad output. The fourth is a blank slate, which the organism can evolve whatever data it wants. The first half will be the complete contents of the organisms ROM after the important information, and the second half will be the initial state of the organisms memory. This will likely be stored as base 64 of its hash and unfolded into binary on compilation.

The 5th chromosome is one I just came up with and I am very excited about, it will be a translation dictionary. It will be 512 individual codons exactly, with each codon pair being mapped between 00 and FF hex. When evaulating the hex of the other chromosomes, this dictionary will be used to determine the equivalent instruction of any given hex pair. When evolving, each hex pair in the 5th organism will be guaranteed to be a valid opcode in the instruction set by using modulus to constrain each pair to the 55 instructions currently available. This will allow an organism to evolve its own instruction distribution, and try to prevent random instructions which might be harmful or inneficient from springing up as often, and instead more often select for efficient or safer instructions.

[d0nutzgg]

This is part of a new project I am doing for a Facebook app that can alert someone when there is suspicious activity on their account, and block people who post rude comments and hate speech using a BERT model I am training on a dataset of hate speech. It automatically blocks people who are really rude / mean and keeps your feed clean of spam. I am developing it right now for work and for @emoryvalentine14 to test out and maybe in the future I will make it public.

I love NLP :D Also I plan to host this server probably on Heroku or something after it is done.

[ai-researcher]

Robotic Process Automation (RPA) enhances business efficiency by automating repetitive tasks, freeing up employees for more strategic work. It improves accuracy, reduces operational costs, and boosts productivity across industries.

[pranathisoftwareservices]

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[liyaroy]

Python Isn’t Just a Language—It’s a Weapon. Learn It Loud in Kochi. 💻

You’re not here for basics. You’re here to build, break, and rebuild with purpose. At iROHUB Infotech, the Python course in Kochi is a full-throttle, no-fluff, real-world experience for those who are done playing safe. From zero to pro, you’ll write code that breathes life into automation, web apps, AI, and more — not in theory, but in the wild. You’ll work on real projects, face real challenges, and come out with skills employers actually want. This isn’t a tutorial playlist. It’s an evolution. If you’re ready to think logically and speak in Python, iROHUB is your battlefield.

Dare to code differently? This is your signal.

For more information, visit: https://www.irohub.com, info@irohub.com8129855155

[cs-med-world-insights]

How to get into Coding!

Coding is very important now and in the future. Technology relies on coding and in the future you will need to know how to code to get a high-paying job. Many people consider having Computer Science field-related jobs, especially in AI. What if you are interested it in general or as a hobby? What if you don't know what you want to do yet for college?

Pick a language you want to learn: Personally, I started out with HTML and CSS. I recommend if you want to do web design HTML and CSS are good languages to start with. Otherwise, start with JavaScript or Python.

2. Find Resources: Basically you want to look at videos on YouTube, and take classes that have coding like AP CSP, AP CS A (harder class), Digital Information Technology, etc. You can also attend classes outside in the summer like CodeNinjas and use websites like code.org, freeCodeCamp, and Codecademy. Also, ask your friends for help too! You can find communities on Reddit and Discord as well.

3. Start Practicing: Practice slowly by doing small projects like making games for websites and apps. You can work with friends if you are still a beginner or need help. There's also open-source coding you can do!

4. Continue coding: If you don't continue, you will lose your skills. Be sure to always look up news on coding and different coding languages.

5. Certifications: If you are advanced in coding or want to learn more about technology, you can do certifications. This can cost a lot of money depending on what certification you are doing. Some school districts pay for your certification test. But if you take the test and pass, you can put it on your resume, and job recruiters/interviewers will be impressed! This can help with college applications and show initiative if you want a computer science degree. This shows you are a "master" of the language.

[shalu620]

Why Python Will Thrive: Future Trends and Applications

Python has already made a significant impact in the tech world, and its trajectory for the future is even more promising. From its simplicity and versatility to its widespread use in cutting-edge technologies, Python is expected to continue thriving in the coming years. Considering the kind support of Python Course in Chennai Whatever your level of experience or reason for switching from another programming language, learning Python gets much more fun.

Let's explore why Python will remain at the forefront of software development and what trends and applications will contribute to its ongoing dominance.

1. Artificial Intelligence and Machine Learning

Python is already the go-to language for AI and machine learning, and its role in these fields is set to expand further. With powerful libraries such as TensorFlow, PyTorch, and Scikit-learn, Python simplifies the development of machine learning models and artificial intelligence applications. As more industries integrate AI for automation, personalization, and predictive analytics, Python will remain a core language for developing intelligent systems.

2. Data Science and Big Data

Data science is one of the most significant areas where Python has excelled. Libraries like Pandas, NumPy, and Matplotlib make data manipulation and visualization simple and efficient. As companies and organizations continue to generate and analyze vast amounts of data, Python’s ability to process, clean, and visualize big data will only become more critical. Additionally, Python’s compatibility with big data platforms like Hadoop and Apache Spark ensures that it will remain a major player in data-driven decision-making.

3. Web Development

Python’s role in web development is growing thanks to frameworks like Django and Flask, which provide robust, scalable, and secure solutions for building web applications. With the increasing demand for interactive websites and APIs, Python is well-positioned to continue serving as a top language for backend development. Its integration with cloud computing platforms will also fuel its growth in building modern web applications that scale efficiently.

4. Automation and Scripting

Automation is another area where Python excels. Developers use Python to automate tasks ranging from system administration to testing and deployment. With the rise of DevOps practices and the growing demand for workflow automation, Python’s role in streamlining repetitive processes will continue to grow. Businesses across industries will rely on Python to boost productivity, reduce errors, and optimize performance. With the aid of Best Online Training & Placement Programs, which offer comprehensive training and job placement support to anyone looking to develop their talents, it’s easier to learn this tool and advance your career.

5. Cybersecurity and Ethical Hacking

With cyber threats becoming increasingly sophisticated, cybersecurity is a critical concern for businesses worldwide. Python is widely used for penetration testing, vulnerability scanning, and threat detection due to its simplicity and effectiveness. Libraries like Scapy and PyCrypto make Python an excellent choice for ethical hacking and security professionals. As the need for robust cybersecurity measures increases, Python’s role in safeguarding digital assets will continue to thrive.

6. Internet of Things (IoT)

Python’s compatibility with microcontrollers and embedded systems makes it a strong contender in the growing field of IoT. Frameworks like MicroPython and CircuitPython enable developers to build IoT applications efficiently, whether for home automation, smart cities, or industrial systems. As the number of connected devices continues to rise, Python will remain a dominant language for creating scalable and reliable IoT solutions.

7. Cloud Computing and Serverless Architectures

The rise of cloud computing and serverless architectures has created new opportunities for Python. Cloud platforms like AWS, Google Cloud, and Microsoft Azure all support Python, allowing developers to build scalable and cost-efficient applications. With its flexibility and integration capabilities, Python is perfectly suited for developing cloud-based applications, serverless functions, and microservices.

8. Gaming and Virtual Reality

Python has long been used in game development, with libraries such as Pygame offering simple tools to create 2D games. However, as gaming and virtual reality (VR) technologies evolve, Python’s role in developing immersive experiences will grow. The language’s ease of use and integration with game engines will make it a popular choice for building gaming platforms, VR applications, and simulations.

9. Expanding Job Market

As Python’s applications continue to grow, so does the demand for Python developers. From startups to tech giants like Google, Facebook, and Amazon, companies across industries are seeking professionals who are proficient in Python. The increasing adoption of Python in various fields, including data science, AI, cybersecurity, and cloud computing, ensures a thriving job market for Python developers in the future.

10. Constant Evolution and Community Support

Python’s open-source nature means that it’s constantly evolving with new libraries, frameworks, and features. Its vibrant community of developers contributes to its growth and ensures that Python stays relevant to emerging trends and technologies. Whether it’s a new tool for AI or a breakthrough in web development, Python’s community is always working to improve the language and make it more efficient for developers.

Conclusion

Python’s future is bright, with its presence continuing to grow in AI, data science, automation, web development, and beyond. As industries become increasingly data-driven, automated, and connected, Python’s simplicity, versatility, and strong community support make it an ideal choice for developers. Whether you are a beginner looking to start your coding journey or a seasoned professional exploring new career opportunities, learning Python offers long-term benefits in a rapidly evolving tech landscape.

[fraoula1]

Python for Data Science: From Beginner to Expert – A Complete Guide!

Python has become the go-to language for data science, thanks to its flexibility, powerful libraries, and strong community support. In this video, we’ll explore why Python is the best choice for data scientists and how you can master it—from setting up your environment to advanced machine learning techniques.

🔹 What You'll Learn:

✅ Why Python is essential for data science

✅ Setting up Python and key libraries (NumPy, Pandas, Matplotlib) ✅ Data wrangling, visualization, and transformation

✅ Building machine learning models with Scikit-learn

✅ Best practices to enhance your data science workflow 🚀 Whether you're a beginner or looking to refine your skills, this guide will help you level up in data science with Python. 📌 Don’t forget to like, subscribe, and hit the notification bell for more data science and Python content!

[himanitech]

Python is a widely used programming language that offers several unique features and advantages compared to languages like Java and C++. Our Python tutorial thoroughly explains Python basics and advanced concepts, starting with installation, conditional statements, loops, built-in data structures, Object-Oriented Programming, Generators, Exception Handling, Python RegEx, and many other concepts. This tutorial is designed for beginners and working professionals.

[praveennareshit]

Fundamentals of Python – A Beginner’s Guide - NARESH IT

🐍 Python made easy! If you’re new to coding, this guide will help you understand the basics and start your programming journey with confidence.

🚀 Get started

[venezart]

APPLE’S REJECTION OF META AI TOOLS: A STANCE ON PRIVACY AND SECURITY

[tomatophp]

Resource API Generator

https://tomatophp.com/en/open-source/filament-api

Generate APIs from your filament resource using single line of code

يعد Resource API Generator أداة أو ميزة إطار عمل مصممة لأتمتة إنشاء واجهات برمجة التطبيقات RESTful أو GraphQL لإدارة الموارد في تطبيق الويب

[herpersonafire]

I need Study Blogs to follow!! pls give this a like if you are one , I need to stay motivated !! :)