Master Queue & Deque Problems in Python

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  Queues look simple on paper, but they quietly decide how real systems behave under pressure. ⏱️ Estimated reading time: 12 minutes Generally accepted, queuing (queue) is a first-in-first-out ( FIFO ) data structure. In reality, queues are used in many non-academic contexts as a means of survival. All systems that deal with any kind of traffic, task, request, or data at scale eventually face this same fundamental problem: it is impossible for everything to be processed simultaneously. When traffic arrives at a system faster than it can be processed or handled, that system needs to determine what stays in the queue, what is dropped, and the order in which it will process traffic. At this point, we begin to view queues as more than just a structure for storing data; they also represent the design of a system. In large-scale systems (i.e., an e-commerce site selling out of an item due to demand and the associated product returns and replacement orders; an online video platf...

AI is Coming For Your Job - Here Are 9 Rules to Make Sure It Doesn't

🧠 Staying Human in the Age of AI: 9 Rules You Can’t Ignore

❓Can AI really replace us?

Maybe not completely — but it’s already taking over a lot. From customer support to design suggestions, even to writing captions — AI is learning faster than ever.

This is the era of “learn or vanish.” No one’s job is safe if they stop evolving. But if you keep improving, thinking creatively, and staying human — you’ll always matter.

So how do you do that?
Let’s learn from Kelvin Rose’s 9 rules that help you stay valuable when machines start competing with you. 👇


Rule 1: Be Surprising, Social, and Scarce

AI follows logic. You follow curiosity.

Machines can analyze data, but they can’t surprise the world. Humans can. Think about Elon Musk — whether you agree with him or not, his unpredictability and boldness make him interesting.

Be that person in your own field. Bring unexpected ideas, form genuine connections, and do something others can’t.

💡 Be the exception, not the average.


🧠 Rule 2: Resist Machine Drift

We often start acting like the tools we use — fast, robotic, repetitive. That’s what Kelvin calls machine drift.

When you make decisions purely based on logic or numbers, you lose the human edge. For example, great leaders like Ratan Tata make decisions from both head and heart — something AI can’t replicate.

So trust your instincts sometimes. Use data, but don’t become data.


📵 Rule 3: Demote Your Devices

Ever noticed how you check your phone even when there’s no notification? That’s not productivity — that’s dependency.

Creativity doesn’t come when you’re scrolling. It comes when you’re bored enough to think. Steve Jobs used to take long walks without his phone — that’s where his best ideas hit.

Go offline to get original.


Rule 4: Leave Handprints

Anyone can make a project. Few can make it memorable.

When you do something, leave a signature style. Like how A.R. Rahman’s music instantly feels different — you just know it’s his work.

That’s the art of leaving handprints. Create something so “you” that it can’t be copied.


🚫 Rule 5: Don’t Be an Endpoint

AI executes commands perfectly — but it never questions them. Humans can. That’s our power.

Don’t just do what’s asked — do what’s missing.

When your team stops at version 1.0, think of version 2.0.
That mindset turns employees into leaders.


🥊 Rule 6: Treat AI as an Opponent

Instead of fearing AI, compete with it. See it as a rival that challenges you to level up.

When ChatGPT writes, you write better.
When automation grows, you grow smarter.
When machines evolve, you evolve faster.

Use your ego as energy — not as an excuse.


Rule 7: Don’t Automate Yourself Out of a Job

Automation isn’t bad — but blindly following it is.

Say you’re a graphic designer. If you let Canva or Midjourney do everything, you’ll fade away. But if you use AI as an assistant while adding your own imagination, you’ll stand out.

Let AI handle your work — not your worth.


📚 Rule 8: Learn Machine-Age Humanities

In a world full of coders, be the one who can think.

Critical thinking, empathy, storytelling — these are timeless. Even Sundar Pichai once said that understanding people is just as important as understanding algorithms.

Blend logic with emotion. That’s the new smart.


🌐 Rule 9: Build Big Nets and Small Nets

Your network is your insurance in the AI era.

Build Big Nets — wide networks that expose you to new ideas, collaborations, and industries.
And Small Nets — close circles that guide, support, and challenge you.

Just like LinkedIn expands your world, but your real mentors shape it.
Both are vital — one gives you reach, the other gives you roots.


💭 Final Thought

AI won’t replace people who evolve — it’ll replace people who repeat.
Learn, unlearn, and keep experimenting.
Because when machines get smarter, your creativity becomes your weapon.


Closing Whispers

When machines rise and codes ignite,
Stay curious, bold, and keep your light.
Let logic guide, but art define,
For the human touch will always shine.

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