#How to learn Raspberry Pi for beginners

[needtricks-blog]

step-by-step guide on how to get started with your Raspberry Pi 3

Here’s a step-by-step guide on how to get started with your Raspberry Pi 3. (more…) “”

[commodorez]

Hi! I'm so sorry if this has been asked before, but I'm completely clueless on computers, but I want to learn about them. Any places you'd recommend starting for bare bones beginners? I'm also interested in early-mid 90's tech particularly too. I'm guessing I have to figure out the basics before I can move onto specific tech though, right?

You're really knowledgeable and nice so I figured I'd just ask. Any help at all would be appreciated. Thank you! :]

That's an excellent question, I don't think I've been asked it before in such a general sense. I was raised with the benefit of being immersed in computers regularly, so providing a solid answer may be a bit difficult since for the basics, I never had to think about it.

I had computer classes of various types throughout my school years. We learned how to use a mouse, typing, word processing, programming -- and that was all before middle school. We got proper typing, html, and general purpose computer science courses in middle and high school, and you can bet I took those too. I also have the benefit of a bachelors of science in computer science, so you'll forgive me if my answer sounds incredibly skewed with 30+ years of bias.

The biggest suggestion I can give you is simply to find a device and play with it. Whatever you can get your hands on, even if its not that old, as long as it's considered past its prime, and nobody will get upset of you accidentally break something (physically or in software). Learning about things with computers in general tends to have some degree of trial and error, be it programming, administrating, or whatever -- try, learn, and start over if things don't work out as expected the first time. Professionals do it all the time (I know I do, and nobody's fired me for it yet).

Some cast-off 90s or early 00's surplus office desktop computer running Windows would be a good start, just explore it and its settings. Start digging into folders, see what's installed, see what works and more importantly what doesn't work right. Try to find comparable software, and install it. Even the basics like old copies of Microsoft Office, or whatever.

I recommend looking through the available software on winworld as it's an excellent treasure trove of operating systems, applications, games, and other useful software of the time period. I'd link it directly, but tumblr hates links to external sites and will bury this post if I do. If you're a mac fan, and you can find an old G3 or Performa, there is the Macintosh Garden's repository of software, but I'm not the right person to ask about that.

Some of you might be like "oh, oh! Raspberry Pi! say Raspberry Pi!" but I can't really recommend those as a starting point, even if they are cheap for an older model. Those require a bit of setup, and even the most common linux can be obtuse as hell for newcomers if you don't have someone to guide you.

If you don't have real hardware to muck about with, emulation is also your friend. DOSBox was my weapon of choice for a long time, but I think other things like 86Box have supplanted it. I have the luxury of the real hardware in most cases, so I haven't emulated much in the past decade. Tech Tangents on youtube has a new video explaining the subject well, I highly recommend it. There are plenty of other methods too, but most are far more sophisticated to get started with, if you ask me.

For getting a glimpse into the world of the 90s tech, if you haven't already discovered LGR on youtube, I've been watching his content for well over a decade now. He covers both the common and esoteric, both hardware and software, and is pretty honest about the whole thing, rather than caricaturish in his presentation style. It might be a good jumping off point to find proverbial rabbits to chase.

I guess the trick is to a find a specific thing you're really interested in, and then start following that thread, researching on wikipedia and finding old enthusiast websites to read through. I'm sure there are a few good books on more general history of 90s computing and the coming internet, but I'm not an avid reader of the genre. Flipping through tech magazines of the era (PC Magazine comes to mind, check archive dot org for that) can provide a good historical perspective. Watching old episodes of the Computer Chronicles (youtube or archive dot org) can provide this too, but it also had demonstrations and explanations of the emerging technologies as they happened.

There are so many approaches here, I'm sure I've missed some good suggestions though. I also realized I waffle a bit between the modern and vintage, but I find many computing troubleshooting skillsets transcend eras. What works now can apply to 10, 20, 30, or sometimes even 40+ years ago, because it's all about mindset of "this computer/program is dumb, and only follows the instructions its given" . Sometimes those instructions are poorly thought out on the part of the folks who designed them. And those failures are not necessarily your fault, so you gotta push through until you figure out how to do the thing you're trying to do. Reading the documentation you can find will only take you so far, sometimes things are just dumb, and experimentation (and failures) will teach you so much more about the hard and fast rules of computers than anything else. I'm rambling at this point...

So, let's throw the question to the crowd, and ask a few other folks in the Retrotech Crew.

@ms-dos5 @virescent-phosphor @teckheck @jhavard @techav @regretsretrotech @airconditionedcomputingnightmare @aperture-in-the-multiverse -- anything big I missed?

[samurai-teacher]

Raspberry Pi 5 Firewall Setup Guide: Easy GUFW GUI Tutorial for Secure 

🔐 Secure Your Raspberry Pi 5 with GUFW Firewall - Step-by-Step Tutorial Welcome to our comprehensive guide on setting up a firewall on your Raspberry Pi 5 using GUFW GUI. Whether you're a beginner or an experienced Pi user, this tutorial is designed to help you enhance your device's security with ease. What You'll Learn: ✅ Introduction to Firewalls and their importance ✅ Step-by-step instructions on installing GUFW on Raspberry Pi OS ✅ How to configure basic firewall rules ✅ Tips for maintaining firewall security Equipment Used: Raspberry Pi 5 Model B Raspberry Pi OS (Latest Version) Internet Connection Additional resources and links can be found below Useful Links: Official Raspberry Pi Website @raspberrypi   @cybersecurityclub   @Microsoft   @YouTube   https://www.raspberrypi.com/ 👍 Like this video if you found it helpful and subscribe to our channel for more Raspberry Pi tutorials and tips. Don't forget to hit the bell icon to get notified about our latest uploads! #RaspberryPi5 #FirewallSetup #GUFW #Cybersecurity #RaspberryPiTutorial #DIYNetworking

[d0nutzgg]

Raspberry Pi Projects

Raspberry Pi is a tiny computer that packs a punch! It's a single board computer that's small enough to fit in the palm of your hand, but powerful enough to run a variety of projects. Whether you're a beginner or a seasoned pro, there's a Raspberry Pi project for you.

One of the most popular projects for Raspberry Pi is creating your own media center. With software like Kodi, you can turn your Raspberry Pi into a streaming device that can play all of your favorite movies and TV shows. You can even add a touch screen and use it as a portable media center.

Another popular project is creating a retro gaming console. With software like RetroPie, you can emulate all of your favorite classic games and play them on your Raspberry Pi. You can even connect it to a TV or monitor and use it as a standalone gaming console.

Raspberry Pi can also be used for home automation projects. You can use it to control lights, thermostats, and other smart devices in your home. You can even use it to set up a security system or create a smart mirror.

Raspberry Pi is also great for learning to code. You can use it to learn programming languages like Python and Scratch. There are also a variety of educational resources available that can help you learn how to code and build projects with Raspberry Pi.

Overall, Raspberry Pi is a versatile and affordable computer that can be used for a wide range of projects. Whether you're into gaming, home automation, or coding, there's a Raspberry Pi project that's perfect for you. So why not give it a try and see what you can create!

[foxfinding]

Some libraries even have crafting supply kits! These are generally aimed towards beginners, but will include basic supplies and books on how to get started.

If you want to learn how to knit or crochet but don't have the resources to get started, see if your local library has a program for checking out *stuff*!

You can try out knitting or crochet without having to invest in knitting needles or crochet hooks or yarn!

(Libraries may also have similar programs for musical instruments and tech like VR or raspberry pi! Go see what hobby supplies they have thay you're interested in, and you can try it all for free!)

I'm really surprised how many young fiber art people don't know that they can get pattern books from their local library. So as a PSA:

Your local public library has pattern books! They have crochet, knitting, weaving, and quilting pattern books! If they don't have the book you want, or the craft you want, you can ask for us to get it for you! It's free!

[makers-muse]

What essential STEAM education resources should every school have? 

Imagine a classroom where students create 3D models, program robots, and explore the mysteries of the universe through virtual reality. That’s the power of STEAM education—an approach that blends Science, Technology, Engineering, Arts, and Mathematics to inspire innovation and critical thinking. To bring this vision to life, schools need the right resources. Here are the essential tools every school should have to foster a robust STEAM learning environment. 

1. Maker Spaces: Innovation Hubs 

A maker space equipped with 3D printers, laser cutters, and basic crafting materials encourages hands-on learning and creativity. These spaces allow students to prototype, experiment, and build solutions to real-world problems. 

Benefits: Promotes problem-solving, teamwork, and entrepreneurial skills. 

2. Robotics and Coding Kits 

Tools like LEGO Mindstorms, Arduino, and Raspberry Pi are excellent for introducing students to programming and engineering. These kits make coding tangible and fun, helping students understand how technology works. 

Benefits: Enhances computational thinking and fosters creativity. 

3. Virtual Reality (VR) Headsets 

VR headsets provide immersive experiences, allowing students to explore distant planets, ancient civilizations, or the inside of a human body. This technology can make abstract concepts tangible. 

Benefits: Improves engagement and retention of complex topics. 

4. Interactive Digital Tools 

Platforms like Tinkercad, Scratch, and Google Earth enable students to design, code, and explore. These tools cater to a variety of STEAM activities, from creating animations to simulating scientific experiments. Learn more 

Benefits: Encourages self-paced, experiential learning. 

5. Art Supplies for STEAM Creativity 

Don’t overlook the “A” in STEAM! High-quality art supplies like paints, digital drawing tablets, and sculpting materials help integrate creativity into science and tech projects. 

Benefits: Develops artistic expression and enhances problem-solving. 

6. STEM-focused Literature and Guides 

Books, magazines, and guides focused on STEM concepts, such as coding for beginners or the science behind everyday phenomena, can supplement hands-on activities. 

Benefits: Builds foundational knowledge and sparks curiosity. 

7. Engineering and Science Experiment Kits 

Kits like LittleBits or DIY science experiment kits bring science and engineering concepts to life. They provide a hands-on approach to understanding physics, chemistry, and electronics. 

Benefits: Boosts understanding of core scientific principles through experimentation. 

8. Collaborative Learning Tools 

Smartboards, online collaboration platforms, and group brainstorming apps encourage teamwork and idea-sharing in STEAM projects. 

Benefits: Prepares students for collaborative work environments. 

9. Outdoor Exploration Tools 

STEAM education extends beyond the classroom. Tools like telescopes, microscopes, and environmental sensors allow students to explore and experiment in natural settings. 

Benefits: Cultivates a deeper connection with the environment and real-world science. 

Empower your classroom with STEAM resources today! 

Equipping schools with these essential STEAM resources creates an engaging and innovative learning environment. By investing in the right tools, educators can inspire the next generation of problem-solvers, creators, and thinkers. 

Empower your students with the tools to succeed in STEAM! Explore affordable solutions to make STEAM education accessible for all. 

[fromdevcom]

Bought a Raspberry Pi kit recently and imagined what to do next? Well, don't worry; here in this article, I will let you how to program a Raspberry Pi. If you are excited about your Raspberry Pi but have not written a single line of code before, don't worry. Programming a Raspberry Pi is a piece of cake. It's easy, simple, and interesting to code this tiny yet powerful supercomputer. Programming Languages Programming, languages like C, C++, Java, Scratch, Ruby, Python all come preinstalled in the Raspberry Pi editor. Raspberry Pi Foundation recommends Python language for all the new Pi learners. Also, the “Pi” in the name “Raspberry Pi” implies Python in it. For younger kids, Scratch is the recommended language to learn. Any language which is compatible with ARMv6 is supported in Raspberry Pi. You are not restricted to use Python. Other languages supported in Raspberry Pi HTML Perl Javascript JQuery How to write a program in C? C is the preferred language when you are just entering the programming world. It is the best language to clear your logical concepts. Now, why am I talking about all this? Well, you will need a strong logical ability to write gobsmacking programs. If your core foundation is not strong, it's difficult to write proper and clean code. Writing your first program This is a simple program to print "Hello World" on your screen. Pretty simple, isn't it? Compiling a program Compiling the program helps computer change the program written in a human readable form to machine readable format. For compiling a C program on Windows open "Command Prompt." After opening Cmd. Write the following command. Example: gcc helloworld.c -o mycprogram. When you compile the source file, it will be changed with the new name you give. Here we will take it as mycprogram. Here helloworld.c is your program file name. Making the program executable For making the program executable just change the file permissions, and you are good to go. Copy and paste the following command in your cmd. chmod +x mycprogram Executing the program For executing the program write the following command in your Cmd. ./mycprogram This is all you need to do to execute your first C program. How to write a program in Python? Python is widely used when it comes to programming languages. Python programs are concise and easy to execute. Features of Python Interpreted Language. Object-oriented. Beginner's Language. Writing your program in Python print "Hello, World!" Just a single line of code will let you print “Hello World” on your computer screen. That's the power of Python Language. Running a Python Program Simply open cmd and write the following command. Make sure you are in the folder directory where you stored your program. python helloworld.py Making the program executable You can make a file executable by entering this at the command prompt chmod +x file-name.py Executing the program For executing the program write the following command in your Cmd. ./file-name.py This is all you need to do to execute your first Python program. How to write a program in HTML? HTML is the most used language in programming when it comes to the User Interface (UI). HTML is very simple to code and requires no logical abilities. Just a creative mind to code and you will master HTML pretty soon. There are many other languages like Javascript, Bootstrap, and JQuery to make your pages more attractive and user-friendly but, it all starts with the HTML code. Writing your program in HTML This is how simple it is to write a HTML code. If you try executing this code you can see “Hello world” message right to your screen. Applying CSS With CSS you can create beautiful and attractive pages. CSS is a framework for styling your HTML pages. Here is the demo how to code in CSS Now, it’s time to apply this code to your Pi you need to install Apache. Make sure your Raspberry Pi is connected to the Internet and in working condition. Write following commands: sudo apt-get update

sudo apt-get upgrade sudo apt-get install apache2 sudo apt-get install apache2 Copy all your HTML and CSS code and save it in /var/www/index.html. You can open this file writing the following command in your terminal: sudo leafpad /var/www/index.html Your program will not execute unless you give permissions to read for other users. You can do this by writing the following command. sudo chmod a+r /var/www/index.html Type ifconfig in command prompt to find your Pi's IP address. Note down your Ip address. Paste this Ip address in your browser and see how your code works. With the combo of HTML, CSS, and Python you can create wonders in Raspberry Pi. Wrap up As you can see programming is not a difficult job to do. It requires a little interest and skills. I hope you found this article useful and you learned something new today by reading this article. Try experimenting with your programming skills and make something which is truly amazing. Let me know in the comments section which language you will prefer as your primary language to code in Raspberry Pi. My name is Mandip and I run raspberry pi starter kits. I love to tinker with the electronics circuits and create new and useful designs. Sometimes the results come awful, too! I share all my ideas, research, and knowledge on my website. I also love to travel and explore historical places whenever I get suitable time for it.

[appu143]

5 Arduino Courses for Beginners

Arduino is a great place to start if you're interested in electronics and want to learn how to create your own interactive creations. Arduino offers a strong foundation in electronics and programming and is well-known for its approachable style and extensive community support. The correct training may accelerate your learning and enable you to begin producing your own products, no matter your level of tech knowledge. 

Arduino Step-by-Step: Getting Started (Udemy)

One of the best-liked Arduino introductory courses on Udemy is this one. This beginner-friendly course, which was created by Dr. Peter Dalmaris, is meant to assist you in starting from the beginning. It goes over everything you need to know, including how to configure your Arduino, connect it to your computer, and write your first piece of code.

Foundations of Arduino Programming (Coursera)

This course, which is offered by the University of California, Irvine, is a great option for anyone desiring an organized and widely accepted introduction to Arduino programming. It is a component of Coursera's "Introduction to Engineering" specialty, which focuses on fundamental programming ideas.

Arduino Programming and Electronics Essential Training (LinkedIn Learning)

For individuals who wish to learn the fundamentals of Arduino without making a significant time commitment, this course is ideal. It covers the fundamentals of Arduino hardware, programming, and working with electronic circuits under the guidance of seasoned hardware and software expert Zahraa Khalil.

Introduction to Arduino Programming (FutureLearn)

This Raspberry Pi Foundation course on FutureLearn offers an approach to Arduino that is community-focused and accessible to beginners. It focuses heavily on hands-on learning, teaches you how to construct some simple projects, and allows you to engage with a community of like-minded students.

The Arduino Platform and C Programming (edX)

This EdX course, developed by the University of California, offers a comprehensive introduction to Arduino programming in C. Despite being a little more complex, this course is accessible to beginners and requires no previous experience. This course is perfect if you're interested in learning the Arduino programming language.

Arduino serves as an opportunity for countless technological and creative opportunities. Whether it's a basic LED setup or an entire automation project, even novices may produce worthwhile projects with the correct direction. Select the course that best suits your interests, then get to work creating something truly remarkable!

To know more click here

[atplblog]

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[aanandh]

Getting Started with Embedded Programming: Tools and Techniques

Embedded programming is an exciting field that combines hardware and software to create systems that control various devices and processes. From simple microcontrollers in household appliances to complex systems in automobiles and medical devices, embedded programming plays a vital role in modern technology. If you’re looking to dive into embedded programming, this guide will outline essential tools and techniques to help you get started.

Understanding Embedded Programming

At its core, embedded programming involves writing software that runs on embedded systems—computers designed to perform dedicated functions within larger systems. Unlike traditional programming, which often runs on general-purpose computers, embedded programming requires a deep understanding of hardware constraints, real-time performance requirements, and low-level programming.

Essential Tools for Embedded Programming

Microcontrollers and Development Boards

Arduino: A popular platform for beginners, Arduino boards come with an integrated development environment (IDE) and a user-friendly programming language based on C/C++. The vast community support and numerous libraries make it easy to get started.

Raspberry Pi: Although primarily a single-board computer, Raspberry Pi can be used for embedded programming projects, especially those requiring more computational power. It supports various programming languages and operating systems.

ESP8266/ESP32: These Wi-Fi-enabled microcontrollers are ideal for IoT projects. They are programmable using the Arduino IDE or the Espressif IDF and offer great features for wireless applications.

Development Environments and IDEs

Arduino IDE: Specifically designed for Arduino programming, this IDE simplifies the process of writing and uploading code to the board.

PlatformIO: An open-source ecosystem for IoT development, PlatformIO supports multiple boards and frameworks, providing advanced features like libraries and debugging tools.

Keil uVision: A popular IDE for ARM microcontrollers, offering a comprehensive development environment, including simulation and debugging capabilities.

Eclipse with Embedded Plugins: Eclipse can be customized with plugins for embedded development, supporting various toolchains and microcontrollers.

Compilers and Toolchains

GCC (GNU Compiler Collection): Widely used for compiling C and C++ code for embedded systems. It supports various microcontroller architectures and is essential for low-level programming.

ARM Toolchain: A collection of tools used to develop applications for ARM-based microcontrollers. It includes a compiler, assembler, and linker, providing everything needed for embedded development.

Debugging Tools

JTAG/SWD Debuggers: Hardware debuggers like J-Link or ST-Link provide a means to debug embedded systems at the hardware level, allowing for real-time code execution and monitoring.

Serial Monitors: Tools that enable communication between your computer and the microcontroller via serial ports. They are useful for debugging and monitoring output during development.

Techniques for Embedded Programming

Start with a Simple Project Begin with a basic project that interests you, such as blinking an LED or reading a sensor. This hands-on experience will help you understand the fundamentals of embedded programming and familiarize you with the tools.

Learn C/C++ Basics Most embedded systems are programmed in C or C++, so having a strong grasp of these languages is essential. Focus on key concepts such as data types, control structures, and pointers, as these are frequently used in embedded programming.

Understand Hardware Basics Familiarize yourself with the hardware you are working with, including pin configurations, voltage levels, and peripheral interfaces (like I2C, SPI, UART). Knowing how to interact with the hardware is crucial for successful embedded programming.

Utilize Libraries and Frameworks Take advantage of existing libraries and frameworks to simplify your development process. Libraries can provide pre-written code for common functions, such as controlling motors or reading sensors, allowing you to focus on the logic of your application.

Implement Real-Time Operating Systems (RTOS) For more complex projects, consider using an RTOS to manage multitasking and timing constraints. An RTOS helps in scheduling tasks, ensuring that your application meets real-time requirements.

Practice Debugging and Testing Develop good debugging habits by regularly testing your code and using debugging tools. Learn to analyze errors, use breakpoints, and monitor variables during execution. Rigorous testing will ensure that your embedded application functions as intended.

Expanding Your Knowledge

Online Courses and Tutorials: Platforms like Coursera, Udacity, and edX offer various courses in embedded systems and programming. These courses can provide structured learning and hands-on projects.

Books and Resources: Consider reading books like "Programming Embedded Systems in C and C++" by Michael Barr or "The Definitive Guide to ARM Cortex-M3 and Cortex-M4 Processors" by Joseph Yiu for deeper insights.

Join Communities and Forums: Engaging with online communities such as Arduino forums, Raspberry Pi forums, or Stack Overflow can provide support and inspiration. These platforms are valuable for asking questions and sharing your projects.

Conclusion

Getting started with embedded programming can be both challenging and rewarding. By leveraging the right tools and techniques, you can develop your skills and create innovative projects that bridge the gap between hardware and software. Whether you aim to build IoT devices, control robotics, or develop smart applications, the world of embedded programming offers endless possibilities. So, gather your tools, start coding, and unleash your creativity in this fascinating field!

[pepminn]

What to Expect from an Embedded Course: A Beginner's Guide

As technology continues to evolve, embedded systems have become a crucial aspect of various industries, from automotive to consumer electronics. For beginners eager to dive into this exciting field, enrolling in embedded courses is an excellent way to build a solid foundation. But what exactly can you expect from these courses? In this guide, we’ll outline the essential elements of an embedded course, helping you understand what to anticipate as you embark on your learning journey.

1. Introduction to Embedded Systems

The first part of any embedded course typically focuses on introducing students to the fundamental concepts of embedded systems. You’ll learn what embedded systems are, how they differ from general-purpose computing systems, and their various applications in everyday life. This foundational knowledge is crucial for understanding more complex topics later on.

2. Hardware Components

Embedded systems consist of both hardware and software components. During your course, you can expect to delve into the hardware aspects, including microcontrollers, sensors, actuators, and communication interfaces. Understanding how these components work together is essential for designing and developing embedded systems.

You will likely have hands-on sessions where you will work with development boards, such as Arduino or Raspberry Pi. These practical experiences will give you a feel for how hardware interacts with software, enhancing your learning and retention.

3. Programming Languages and Tools

Programming is a critical skill for anyone interested in embedded systems. Most embedded courses will cover popular programming languages used in this field, primarily C and C++. You will learn about syntax, data structures, and algorithms specific to embedded programming.

In addition to programming languages, you’ll also be introduced to development environments and tools, such as integrated development environments (IDEs) and debugging tools. These tools are essential for writing, testing, and optimizing your code.

4. Real-Time Operating Systems (RTOS)

A significant aspect of embedded systems is their ability to perform tasks in real-time. As such, many embedded courses include an introduction to real-time operating systems (RTOS). You will learn about the characteristics of RTOS, task scheduling, and how to manage resources efficiently.

Understanding RTOS is crucial, especially if you’re interested in applications that require immediate responses, such as robotics, automotive systems, and industrial automation.

5. Hands-On Projects

One of the most exciting aspects of embedded courses is the hands-on projects that you will undertake. These projects allow you to apply the concepts and skills you’ve learned in real-world scenarios. You might design and build simple devices, such as a temperature monitoring system, or work on more complex projects involving automation or robotics.

Working on projects not only solidifies your understanding but also enhances your problem-solving skills, giving you practical experience that is highly valued by employers.

6. Collaborative Learning Environment

Embedded courses often foster a collaborative learning environment. Expect to work in groups with your peers on various assignments and projects. This collaboration allows you to share ideas, solve problems together, and learn from each other’s perspectives.

Engaging with classmates can also enhance your networking opportunities, connecting you with like-minded individuals who share your passion for embedded systems.

7. Assessments and Feedback

Throughout the course, you can expect a combination of assessments to evaluate your understanding and progress. These may include quizzes, assignments, and project presentations. Feedback from instructors is invaluable, helping you identify areas for improvement and reinforcing your learning.

8. Career Guidance and Opportunities

Many embedded courses also provide insights into career opportunities in the field. You may receive guidance on job roles, industry trends, and potential career paths related to embedded systems. Some courses may even offer job placement assistance, helping you transition smoothly from education to employment.

Conclusion

Enrolling in embedded courses is an excellent step for beginners eager to enter the world of embedded systems. By understanding what to expect, you can prepare yourself for a rewarding learning experience. From foundational knowledge and hands-on projects to collaborative environments and career guidance, these courses offer a comprehensive overview of what it takes to succeed in the field.

As you embark on your journey in embedded systems, embrace the challenges and opportunities that come your way. With dedication and the right educational resources, you can build a successful career in this dynamic and ever-evolving industry. Whether you’re looking to design innovative products or contribute to cutting-edge technologies, embedded courses will set the stage for your future success.

[protechbro]

Cheap Crypto Mining Software: Top 5 Options Under $100

As the world of cryptocurrency continues to expand, more people are looking to get involved in mining without breaking the bank. Fortunately, there are several affordable crypto mining software options available for under $100 that can help both beginners and experienced miners. Here are the top five choices that you might consider:

CGMiner

CGMiner is one of the most popular and long-standing mining software options available. It is open-source and offers compatibility with various hardware, including FPGA and ASIC miners. CGMiner provides real-time statistics, remote management, and a user-friendly interface. While it does require some technical knowledge to set up, the performance it delivers makes it worth the effort, especially for those looking to maximize their mining potential.

EasyMiner

If you’re looking for a more user-friendly option, EasyMiner is a great choice. This software offers a graphical user interface that simplifies the mining process, making it accessible for beginners. It supports both CPU and GPU mining and has a built-in wallet for easy management of your earnings. EasyMiner is free to use, but donations are encouraged to support further development.

BFGMiner

BFGMiner is another powerful mining software tailored specifically for FPGA and ASIC mining. It comes with various features, including fan control, CPU mining, and detailed statistics. The software also supports stratum mining pools, which can enhance your mining efficiency. Although BFGMiner is not as beginner-friendly as EasyMiner, it is a robust option for those willing to invest some time in learning how to use it effectively.

NiceHash Miner

NiceHash Miner provides an excellent platform for users who want to get started with crypto mining without a significant upfront investment. The software automatically selects the most profitable algorithms for your hardware, maximizing your earnings. It also features an intuitive interface that is easy to navigate, making it a great choice for both beginners and experienced miners. The software is free to download, but transaction fees may apply.

MultiMiner

MultiMiner is designed to make mining as simple as possible. This software provides a graphical interface and supports various mining hardware types. It automatically detects available mining devices and presents a list of the most profitable coins to mine. MultiMiner is free to use and is an excellent choice for anyone looking to streamline their mining process without spending a lot of money.

Cheap Mining Rigs: Top 5 Options Under $500

Cheap Crypto Mining Software: Top 5 Options Under $100 For those looking to enter the world of cryptocurrency mining, acquiring affordable mining rigs is essential. Here are five options under $500 that can help you kickstart your mining journey:

Antminer S7

The Antminer S7 is a well-known ASIC miner that delivers solid performance at a relatively low price point. It’s capable of mining Bitcoin and offers a hash rate of around 4.73 TH/s. Although it may require some tweaking to optimize its performance, it is an excellent choice for anyone looking to mine Bitcoin on a budget.

Bitmain Antminer L3+

Designed for mining Litecoin and other Scrypt coins, the Bitmain Antminer L3+ is an affordable option that boasts a hash rate of approximately 504 MH/s. This rig is known for its reliability and efficiency, making it a popular choice among Litecoin miners.

Innosilicon A2 Miner

The Innosilicon A2 Miner is an ASIC miner that is suitable for Scrypt mining. With a hash rate of about 24 MH/s, it is an economical option for those interested in mining cryptocurrencies like Litecoin. Its low power consumption makes it an attractive choice for miners looking to keep their electricity costs down.

Raspberry Pi Mining Rig

For those who prefer a DIY approach, creating a mining rig using a Raspberry Pi can be a cost-effective solution. While it won’t deliver the same hash rates as dedicated mining hardware, it can be an educational experience for beginners. By pairing it with USB miners, you can build a rig for under $500 and start mining smaller cryptocurrencies Cheap Mining Rigs: Top 5 Options Under $500.

USB Bitcoin Miners

If you’re looking for an affordable way to enter the mining scene, USB Bitcoin miners are a great option. These devices are compact and easy to use, allowing you to mine Bitcoin with minimal setup. While they may not produce high hash rates, they can be a fun and low-cost way to start mining at home.

New Crypto Scams in 2025

As the cryptocurrency market grows, so does the number of scams targeting unsuspecting investors. Here are seven new crypto scams that have emerged in 2025:

Fake ICOs

Initial Coin Offerings (ICOs) continue to attract scammers looking to exploit naive investors. In 2025, a surge in fake ICOs has been reported, often promising unrealistic returns. Always research the team behind an ICO and their previous projects before investing.

Ponzi Schemes

Ponzi schemes remain a prevalent threat in the crypto space. 7 New Crypto Scams in 2025, new platforms are emerging that promise high returns for little effort. These schemes often collapse when new investors stop joining, leaving earlier investors with losses.

Phishing Attacks

Phishing attacks targeting crypto wallets have become increasingly sophisticated. Scammers create fake websites that mimic legitimate exchanges to steal users’ credentials. Always ensure you’re on the official site before entering sensitive information.

Pump-and-Dump Schemes

Pump-and-dump schemes involve artificially inflating a cryptocurrency's price through misleading promotions. Once the price is pumped up, the scammers sell off their holdings, leaving unsuspecting investors with worthless coins. Be wary of social media hype around certain coins.

DeFi Scams

Decentralized Finance (DeFi) has attracted scammers looking to exploit the lack of regulation. In 2025, several DeFi platforms have been reported to operate without proper security measures, resulting in significant losses for investors.

Clone Exchanges

Clone exchanges are fake cryptocurrency exchanges that replicate the layout of legitimate platforms. Scammers lure users to deposit funds, only to vanish with the money. Always verify the exchange's reputation before trading.

Rug Pulls

Rug pulls involve developers abandoning a project after raising funds from investors. In 2025, new tokens have emerged that promise high returns but lack transparency. Conduct thorough research before investing in new tokens.

By staying informed about these scams, investors can better protect themselves and their investments in the rapidly evolving world of cryptocurrency.

[govindhtech]

AI Kits Ability To Prepare Children For Future Technology

Kits AI

Best AI Kits for Kids to Learn Programming. Make programming fun and easy for kids. Younger youngsters will find it easier to program later in life. A more forward-thinking approach, AI kits for children may make learning fun and help improve coding and AI skills. Kids may use many exciting AI kits in 2024.

These kits make learning programming simple and exciting for them. This article examines the AI kits that are considered to be the finest available this year. It describes the features and advantages of these kits, as well as how they might encourage a child’s interest in technology.

App kits AI

AI Kits That Are the Best for Kids to Learn Programming in 2024.

Robolink’s CoDrone Lite comes in first place

Kids may learn drone programming with the interesting CoDrone Lite kit. This package includes a programmable drone and an easy-to-code interface. This drone is taught to children so that they may learn how to fly it, do interesting stunts, and escape obstacles using block-based coding. In addition to assisting in the development of problem-solving skills and spatial awareness, the CoDrone Lite was designed with the intention of teaching students about STEM principles.

The Kano Personal Computer Kit

Kano PC Kit is designed to help kids construct computers and learn programming. This kit includes a Raspberry Pi computer, a touchscreen display, and additional construction materials. Kano’s step-by-step lessons and projects allow children to continue their education in coding after they have completed the assembly process. When it comes to teaching, the Kano PC Kit may be of great use since it provides actual exposures for both the hardware and software elements. For children who want to learn how to code at home, this is one of the greatest platforms available.

Botley 2.0, brought to you by Learning Resources

The sophisticated coding robot known as Botley 2.0 is designed to teach children about complex programming principles without the need for a screen to be present. A remote control and a separate coding card will be included in the package for the purpose of teaching sequence programming. Among other things, children may teach Botley to navigate mazes, follow lines, and do a lot more. One of the most attractive aspects of Botley 2.0 is that it is an excellent resource for younger children who are experiencing coding and robotics for the very first time in their life.

Sphero Mini

A child may use a smartphone or tablet to operate the Sphero Mini, which is a little robot that is shaped like a sphere. It has customizable lights and sensors and teaches kids to code via creative games and challenging exercises. Since it has an app-based interface that lets beginners drag-and-drop programming blocks, the Sphero Mini is great for learning coding and logic.

Dot and Dash Robots from Wonder Workshop

A Workshop of Wonders The Dash and Dot robots are two examples of interactive tools that children may use to participate in the process of learning programming. Controlling and programming Dash and Dot may be accomplished via the use of a wide range of applications, each of which provides varying degrees of coding difficulty.

Due to the fact that robots are capable of performing a diverse array of behaviors, like dancing and solving riddles, the process of learning programming is both dynamic and participatory. Final Thoughts The robots Dash and Dot, both of which are manufactured by Wonder Workshop, are two interactive toys that are designed to teach children programming via exercises. Both Dash and Dot may be managed and programmed via the use of a wide range of applications, each of which has a distinct degree of programmatic complexity.

Kits AI Voice

Some of the greatest AI kits for kids to learn programming provide hands-on experiences and imaginative ways to use technology:

Raspberry Pi AI Kit

Teach youngsters AI and machine learning programming with Raspberry Pi.

Python, Scratch, and TensorFlow are included.

Features: Simple projects, image recognition, voice assistants, and simple robots.

Persons above 10 years.

We learned programming, AI, and hardware-software integration.

LEGO Mindstorms Robot Inventor

Enables construction, programming, AI, and robotics.

Features: Block-based programming and Python for experienced users. Robots can be built and programmed by kids.

Persons above 10 years.

Learned: Robotics, programming logic, AI decision-making.

Anki Cozmo

A little robot with personality, employs AI to interact with the surroundings and provide coding challenges for youngsters.

Blockly programming, customisable AI, and interactive games.

Ages 7+ years.

Skills learned: Blockly programming, AI, robotics.

Kano

Kano offers a build-your-own computer kit with a touch screen and coding training for AI and machine learning.

Fun AI activities including neural network training, picture recognition, and voice interaction using block-based coding.

Ages 6+ years.

Learning: Basic programming, machine learning, creativity.

Makeblock mBot Ultimate Robot Kit

Provides hands-on robotics and AI learning via building and coding.

Supports Scratch and Python block-based programming and AI capabilities like obstacle avoidance and facial identification.

Ages 8+ years.

Learned AI, robotics, coding, problem-solving.

Cubetto

A screenless robot that teaches coding and AI concepts via play for younger children.

Block-based programming language, no screen, basic AI tasks like navigation and decision-making.

3-6 years old.

Think logically, learn AI, solve problems.

These kits make programming and AI interesting and engaging for youngsters, encouraging creativity and critical thinking.

Conclusion

Introducing children to the world of programming and artificial intelligence is made possible via the use of AI kits for children. An appreciation for technology may be developed via the use of AI kits, which provide a variety of interactive and educational experiences. These activities involve computer building, drone programming, and robot control. Parents and teachers may encourage future problem-solvers and programmers for a tech-driven future. This may be accomplished by selecting the appropriate AIkits.

Read more on Govindhtech.com

[60seccyberbrief]

Pi-Hole

This week I wanted to discuss another useful software piece and a beginner project for any aspiring Raspberry Pi users. The software for discussion is called The Pi-hole. Pi-hole is a lightweight, robust, scalable, open-source network-wide ad blocker that functions as a DNS sinkhole, blocking advertisements and other unwanted content at the DNS level. It was my first project when getting a Raspberry PI and I have learned and am continuing to learn much through it. It generally runs on devices like the Raspberry Pi (hence the name) because it is so lightweight but can be run on other Linux-based systems. Pi hole intercepts DNS queries from devices on your network and checks them against the preloaded blocklist that you have uploaded to Pi-hole’s interface. If the DNS matches one on the blocklist, Pi-hole then prevents the request from reaching the ad server. This ability to block DNS from the network is beneficial because you can have all your devices on your network run through Pi-hole blocking telemetry and ads without installing any extra software or browser extensions on the individual devices. All it requires is simple DNS and IP server assignment on your devices or using virtual network software such as Tailscale (which I will cover next week). This will route your DNS queries through the Pi-hole and allow it to be filtered as such. Another notable feature of Pi-hole is it's all self-hosted and customizable. It's not hosted by your ISP or controlled by them but controlled by you. You have the power to change how strict or lenient your block list is. This allows you to implement certain parental controls if need be times Pi-hole will run or not run, or for what devices it will run or won't run. Even if you don’t regularly use Pi-hole or have a Raspberry Pi, I think it’s a great project for those wanting to better understand networks and devices.

Sources:

[junior-navyadhra]

Machine Learning and Coding: Introducing Kids to the Future of Technology

1. Use Age-Appropriate Tools and Platforms

There are numerous tools and platforms designed specifically for kids to learn coding and machine learning:

Scratch: This visual programming language is perfect for beginners. It allows kids to create interactive stories, games, and animations by snapping together code blocks.

Blockly: Similar to Scratch, Blockly uses a visual interface to help kids learn coding concepts. It also provides a transition to text-based coding languages.

Teachable Machine: Developed by Google, this tool lets kids train their own machine learning models using simple drag-and-drop interfaces without any prior coding experience.

2. Start with the Basics

Begin with fundamental concepts such as what coding is and how it works. Explain the basics of algorithms and how they are used to solve problems. For machine learning, introduce the idea of teaching computers to recognize patterns and make decisions based on data.

3. Incorporate Hands-On Activities

Hands-on activities are crucial for reinforcing learning. Here are a few ideas:

Coding Games: Use coding games like Code.org’s Hour of Code to teach programming concepts in a fun and interactive way.

Simple Machine Learning Projects: Use platforms like Teachable Machine to create simple projects such as training a model to recognize different objects or sounds.

Robotics Kits: Kits like LEGO Mindstorms and Raspberry Pi allow kids to build and program their own robots, providing a tangible way to apply coding and machine learning skills.

4. Encourage Exploration and Experimentation

Allow kids to explore and experiment with different projects. Encourage them to ask questions, try new ideas, and learn from their mistakes. This fosters a growth mindset and a love for learning.

5. Provide Real-World Examples

Show kids real-world applications of coding and machine learning to help them understand their relevance. Examples include how apps are built, how video games are coded, and how machine learning is used in virtual assistants and recommendation systems.

6. Make Learning Fun and Interactive

Turn learning into a game by setting challenges and rewards. Create friendly competitions where kids can showcase their projects and earn badges or prizes for their achievements. Use storytelling to make lessons more engaging and relatable.

Benefits of Learning Machine Learning and Coding

1. Improved Academic Performance

Learning coding and machine learning can enhance kids’ performance in other academic subjects. These skills improve logical thinking, math skills, and the ability to understand and process complex information.

2. Enhanced Digital Literacy

In today’s digital age, being digitally literate is crucial. Learning coding and machine learning helps kids understand how technology works, making them more proficient and responsible digital citizens.

3. Opportunities for Collaboration

Coding and machine learning projects often involve teamwork, teaching kids how to collaborate, share ideas, and work together towards a common goal. These collaborative skills are essential for their future careers and personal development.

4. Lifelong Learning Skills

The tech industry is constantly evolving, and the skills learned through coding and machine learning encourage lifelong learning. Kids develop the ability to adapt to new technologies and continuously seek knowledge and improvement.

Conclusion

Introducing kids to machine learning and coding is an investment in their future. These skills prepare them for a world where technology plays an integral role in every aspect of life. By making the learning process fun, interactive, and engaging, we can inspire the next generation of innovators and thinkers. Machine learning and coding are not just about understanding technology; they are about opening up a world of possibilities and empowering kids to create, innovate, and lead in the digital age.

[sandhya253]

Machine Learning Project Ideas for Beginners

By collaborating with industry experts and highly trained machine learning professionals, Takeoff Projects has been successfully offering comprehensive support for machine learning project ideas.

From understanding the key problem to assisting with data labeling, classification, training, and successful implementation, our machine-learning professionals work closely with students to ensure the smooth delivery of their Machine Learning Project Ideas.

Towards Real-Time Eye Blink Detection in the Wild

Real-time developments in eye blink detection are significant in detecting deceiving behaviors, and driver drowsiness and protect against face spoofing. Despite the recognition of this problem and attempts to solve it, most of the proposed methods work only under strictly defined conditions within a controlled environment, e.g., inside a building. Nonetheless, for application, it is far more complex and beneficial to look for eye blinks in several different situations in the real environment.

Smart Mirror Based On Raspberry Pi

The Internet impacted our lives positively by enhancing the way we searched for information and interrelating with people via the web. Mobile phones were later replaced by smartphones and this created the Internet of Things where even the objects are connected to the internet. It is possible to make many objects ‘smart,’ and some are more suitable for this than others. For instance, mirrors are relevant in that they are large enough to contain information and to be manipulated.

Smart Guiding Glasses For Visually Impaired People

The system guides blind users by indicating clear paths. A prototype with a camera and an ultrasonic sensor was created and tested by several users. The results showed that these smart glasses significantly improve the user's ability to move safely in complex indoor environments. Therefore, this device can help visually impaired people travel safely.

Conclusion:

Takeoff Projects excels in providing comprehensive support for Machine Learning Project Ideas by partnering with industry experts and skilled machine learning professionals. This ensures smooth project delivery, from problem understanding to implementation.

Innovations like real-time eye blink detection are crucial for detecting deceiving behaviors, driver drowsiness, and face spoofing, especially in diverse real-world conditions. The smart mirror based on Raspberry Pi demonstrates how the Internet of Things can transform everyday objects into interactive devices.