Linux Troubleshooting Commands

And our team just rolled out a major upgrade, and you now have access on your account.

In partnership with

Over the past few months, we’ve been working on something too secret to share. And now it’s finally ready to roll out. The good news? If you have an account at Hackr, you’re already invited to check it out. It’s a completely new dashboard. Use it to build your own projects with Python, HTML, or JavaScript, or talk with your tech mentor directly from your phone. There are so many things to do with it, and we’re excited to hear how you use it.

Resources

The New Dashboard at Hackr

We’re launching a new, free feature for the community at Hackr.io. Just log in on the homepage to see the new dashboard. This is your home for tutorial submissions, interview practice, code editors, and more.

The new dashboard at Hackr gives you access to AI interviewers, coding editors, and more.

The new dashboard is currently free for all users.

Use the menu on the left to choose what you want to do, and please let us know what you think. This is still in its earliest version, and upgrades will be happening soon.

It has a free AI interviewer, code editors, and more.

Please let us know what you find useful, what you’d like to see, and any bugs you encounter. And thanks for being part of the community!

Linux Troubleshooting Commands

Whether you're facing crashes, system errors, or network issues, these commands are invaluable for any Linux user. From checking system logs to monitoring resources and managing processes, this guide will equip you with the right tools to get your system back on track.

We cover commands like dmesg for kernel messages, journalctl for system logs, htop for monitoring system resources, PS with AUX to view running processes, strace for tracing system calls, LSOF for listing open files, ping for testing network connectivity, ss for network statistics, df for displaying disk usage, and uptime for checking system uptime. These tools will help you resolve hardware issues, resource hogs, network problems, and more.

Partner Messages

$10 Million in Revenue, Explosive Growth—RYSE Is Redefining the Smart Home

The smart home market is evolving, and RYSE is leading the way with their groundbreaking SmartShades technology. With over $10 million in total revenue, 200% month-over-month growth, and partnerships with major retailers like Home Depot, Lowe’s, and Blinds.com, RYSE is scaling rapidly in a market projected to grow 23% annually.

What makes RYSE unique? Their 10 fully granted patents and cutting-edge automation solutions allow homeowners to transform ordinary window coverings into sleek, smart devices without replacing their blinds or shades.

At just $1.75 per share, this is your chance to invest in a company with proven traction and enormous potential for growth.

Writer RAG tool: build production-ready RAG apps in minutes

RAG in just a few lines of code? We’ve launched a predefined RAG tool on our developer platform, making it easy to bring your data into a Knowledge Graph and interact with it with AI. With a single API call, writer LLMs will intelligently call the RAG tool to chat with your data.

Integrated into Writer’s full-stack platform, it eliminates the need for complex vendor RAG setups, making it quick to build scalable, highly accurate AI workflows just by passing a graph ID of your data as a parameter to your RAG tool.

Ditch the complexity—Pinata’s File API gets you uploading in minutes

Pinata’s File API is designed to make your life as a developer easier. Say goodbye to time-consuming setups and configuration hassles. With just a few lines of code, you can add file uploads and retrieval to your app, freeing up time to focus on building features that matter. Whether you're building large-scale projects or a weekend app, Pinata provides fast, secure, and scalable file management.

Start learning AI in 2025

Everyone talks about AI, but no one has the time to learn it. So, we found the easiest way to learn AI in as little time as possible: The Rundown AI.

It's a free AI newsletter that keeps you up-to-date on the latest AI news, and teaches you how to apply it in just 5 minutes a day.

Plus, complete the quiz after signing up and they’ll recommend the best AI tools, guides, and courses – tailored to your needs.

Python Interview Questions

If you want to challenge yourself to a real interview, make sure to check out the dashboard when you log into Hackr. Here’s an example of a Python interview question that might come up during the hiring process.

What is monkey patching, and when might you use it?

# Assume MyClass is defined in a module named m
# File: m.py
class MyClass:
    def f(self):
        print("f()")

We can monkey-patch the program something like this:

# Import the module
import m

# Define a new function to replace the original
def monkey_f(self):
    print("monkey_f()")

# Monkey-patch the f method in MyClass
m.MyClass.f = monkey_f

# Create an instance of MyClass and call the patched method
obj = m.MyClass()
obj.f()  # Output: "monkey_f()"

If you can explain when this might be useful, and give examples of when you’ve used it in your own portfolio, you’re off to a good start.

Where to Start When You Want to Learn Blockchain

Selecting the perfect blockchain technology courses can greatly impact your journey when learning blockchain technology.

We reviewed over 25 blockchain courses to provide you with accurate and informed recommendations. With that in mind, let’s look at some key criteria that we considered when finding the top blockchain courses:

  • Accreditation and Reputation: We looked for online courses from reputable institutions or online learning platforms with recognized accreditation.

  • Curriculum and Topics Covered: We evaluated course curriculums to ensure they cover fundamental blockchain concepts, including distributed ledger technology, smart contracts, consensus mechanisms, and decentralized applications (DApps).

  • Practical Exercises and Projects: We looked for courses with hands-on experience, offering practical exercises and projects to apply your knowledge to real-world scenarios.

  • Instructor Expertise: It was essential to find instructors with relevant practical knowledge and industry experience.

  • Student Reviews and Testimonials: We also looked at reviews and testimonials from previous students to gauge the course's effectiveness and learning experience.

From the Hackr.io Community

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