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A guide to Python libraries for machine learning projects
When you’re starting a machine learning project, your success doesn’t just depend on your models — it depends on your tools. And in Python, that means using the right libraries. With the ecosystem evolving quickly, it’s easy to feel overwhelmed by choices. This blog walks through the most essential Python libraries for machine learning. Whether you’re building a prototype or scaling a system, these are the tools engineers reach for because they work.
Zach Milkis
May 30 · 2025
What to expect in the Apple Phase 1 interview
Most people think of Apple interviews as black boxes: High pressure, secretive, and borderline mythical. But if you're aiming for a role at Apple, it's important to demystify the early steps. The first step? Understanding the Apple Phase 1 interview. In this blog, let’s walk through what this first phase looks like and how to navigate it.
Sumit Mehrotra
May 29 · 2025
What are the best practices for writing clean Python code?
Python is loved for its readability, but readable doesn’t always mean maintainable. Writing clean Python code goes beyond avoiding spaghetti logic. It’s about structure, clarity, and intent. Clean code makes it easier to onboard teammates, squash bugs, and scale features without rewriting everything from scratch. It’s the difference between technical debt and technical durability. In this blog, you will find ways to write Python the way senior engineers expect it to be written.
Khayyam Hashmi
May 27 · 2025
What is the Amazon STAR method and how to use it
Amazon interviews aren’t just about what you did, they’re about how you think. That’s why behavioral questions carry real weight. And that’s why the Amazon STAR method isn’t just a nice-to-have: it’s a must-know. The Amazon STAR method is how you translate experience into signal. Let’s break down what it is, why it works, and how to apply it effectively.
Naeem ul Haq
May 26 · 2025
How to represent null values in YAML
Learn how to represent null values in YAML using standard syntaxes like null, ~, or leaving a key without a value.
Areeba Haider
May 26 · 2025
Breaking down the Apple hiring process timeline
The Apple interview process doesn’t move fast — it moves deliberately. Whether you're applying for an engineering, design, or product role, the timeline reflects Apple’s culture: thoughtful, rigorous, and detail-obsessed. The Apple hiring process isn't designed to fill roles quickly. It’s designed to find the right fit.
So, how long does it take? Let’s break down the typical stages, the timing, and how to approach each phase with clarity and patience.
Zach Milkis
May 23 · 2025
What kind of engineers does Apple hire?
Apple doesn’t look for the loudest. It looks for the sharpest. If you’re trying to understand what kind of Apple engineers make it through the company’s hiring bar, forget stereotypes about hoodie-wearing geniuses or lone-wolf tinkerers. The truth is more nuanced and more strategic. Apple engineering is built on trust, clarity, and precision. And the people who thrive there tend to reflect that. In this blog, we will break down the core traits that define the engineers Apple actually hires.
Sumit Mehrotra
May 22 · 2025
How to use the typedef struct in C
Learn how to use typedef struct in C to simplify complex data type declarations and improve code readability.
Areeba Haider
May 19 · 2025
How long does Amazon take to respond after the final interview?
If you're wondering how long after the final Amazon interview to get hired, the answer isn’t one-size-fits-all. The timeline varies depending on the role, team, location, and how your interview loop went. But here’s what doesn’t change: every day of silence feels heavier than the last. You replay answers in your head. You refresh your inbox too often. You wonder if no news is bad news. Let’s unpack what really happens after that final round, and how long it typically takes to hear back.
Zarish Khalid
May 19 · 2025